xxxxx

1.0.0.0 CLAS­SI­FI­CA­TION

The Amer­i­can Di­a­betes As­so­ci­a­tion (ADA) “Stan­dards of Med­i­cal Care in Di­a­betes” in­cludes ADA’s cur­rent clin­i­cal prac­tice rec­om­men­da­tions and is in­tend­ed to pro­vide the com­po­nents of di­a­betes care, gen­er­al treat­ment goals and guide­lines, and tools to eval­u­ate qual­i­ty of care. Mem­bers of the ADA Pro­fes­sion­al Prac­tice Com­mit­tee, a mul­ti­dis­ci­plinary ex­pert com­mit­tee, are re­spon­si­ble for up­dat­ing the Stan­dards of Care an­nu­al­ly, or more fre­quent­ly as war­rant­ed. For a de­tailed de­scrip­tion of ADA stan­dards, state­ments, and re­ports, as well as the ev­i­dence-‍grad­ing sys­tem for ADA’s clin­i­cal prac­tice rec­om­men­da­tions, please refer to the Stan­dards of Care In­tro­duc­tion. Read­ers who wish to com­ment on the Stan­dards of Care are in­vit­ed to do so at pro­fes­sion­al.di­a­betes.org/‍SOC.

Di­a­betes can be clas­sified into the fol­low­ing gen­er­al cat­e­gories:

  1. Type 1 di­a­betes (due to au­toim­mune β-cell de­struc­tion, usu­al­ly lead­ing to ab­so­lute in­sulin deficien­cy)
  2. Type 2 di­a­betes (due to a pro­gres­sive loss of β-cell in­sulin se­cre­tion fre­quent­ly on the back­ground of in­sulin re­sis­tance)
  3. Ges­ta­tion­al di­a­betes mel­li­tus (GDM) (di­a­betes di­ag­nosed in the sec­ond or third trimester of preg­nan­cy that was not clear­ly overt di­a­betes prior to ges­ta­tion)
  4. Specific types of di­a­betes due to other caus­es, e.g., mono­genic di­a­betes syn­dromes (such as neona­tal di­a­betes and ma­tu­ri­ty-‍onset di­a­betes of the young [MODY]), dis­eases of the ex­ocrine pan­creas (such as cys­tic fibro­sis and pan­cre­ati­tis), and dru­gor chem­i­cal-‍in­duced di­a­betes (such as with glu­co­cor­ti­coid use, in the treat­ment of HIV/AIDS, or after organ trans­plan­ta­tion)

This sec­tion re­views most com­mon forms of di­a­betes but is not com­pre­hen­sive. For ad­di­tion­al in­for­ma­tion, see the Amer­i­can Di­a­betes As­so­ci­a­tion (ADA) po­si­tion state­ment “Di­ag­no­sis and Clas­sification of Di­a­betes Mel­li­tus” (1).

Type 1 di­a­betes and type 2 di­a­betes are het­ero­ge­neous dis­eases in which clin­i­cal pre­sen­ta­tion and dis­ease pro­gres­sion may vary con­sid­er­ably. Clas­sification is im­por­tant for de­ter­min­ing ther­a­py, but some in­di­vid­u­als can­not be clear­ly clas­sified as hav­ing type 1 or type 2 di­a­betes at the time of di­ag­no­sis. The tra­di­tion­al paradigms of type 2 di­a­betes oc­cur­ring only in adults and type 1 di­a­betes only in chil­dren are no longer ac­cu­rate, as both dis­eases occur in both age-‍groups. Chil­dren with type 1 di­a­betes typ­i­cal­ly pre­sent with the hall­mark symp­toms of polyuria/‍polydipsia, and ap­prox­i­mate­ly one-‍third pre­sent with di­a­bet­ic ke­toaci­do­sis (DKA) (2). The onset of type 1 di­a­betes may be more vari­able in adults, and they may not pre­sent with the clas­sic symp­toms seen in chil­dren. Oc­ca­sion­al­ly, pa­tients with type 2 di­a­betes may pre­sent with DKA, par­tic­u­lar­ly eth­nic mi­nori­ties (3). Al­though difficul­ties in dis­tin­guish­ing di­a­betes type may occur in all age-‍groups at onset, the true di­ag­no­sis be­comes more ob­vi­ous over time.

In both type 1 and type 2 di­a­betes, var­i­ous ge­net­ic and en­vi­ron­men­tal fac­tors can re­sult in the pro­gres­sive loss of β-cell mass and/‍or func­tion that man­i­fests clin­i­cally as hy­per­glycemia. Once hy­per­glycemia oc­curs, pa­tients with all forms of di­a­betes are at risk for de­vel­op­ing the same chron­ic com­pli­ca­tions, al­though rates of pro­gres­sion may dif­fer. The iden­tification of in­di­vid­u­al­ized ther­a­pies for di­a­betes in the fu­ture will re­quire bet­ter char­ac­ter­i­za­tion of the many paths to β-cell demise or dysfunc­tion (4). Char­ac­ter­i­za­tion of the un­der­ly­ing patho­phys­i­ol­o­gy is more de­vel­oped in type 1 di­a­betes than in type 2 di­a­betes. It is now clear from stud­ies of first-‍de­gree rel­a­tives of pa­tients with type 1 di­a­betes that the per­sis­tent pres­ence of two or more au­toan­ti­bod­ies is an al­most cer­tain pre­dic­tor of clin­i­cal hy­per­glycemia and di­a­betes. The rate of pro­gres­sion is de­pen­dent on the age at first de­tec­tion of an­ti­body, num­ber of an­ti­bod­ies, an­ti­body specificity, and an­ti­body titer. Glu­cose and A1C lev­els rise well be­fore the clin­i­cal onset of di­a­betes, mak­ing di­ag­no­sis fea­si­ble well be­fore the onset of DKA. Three dis­tinct stages of type 1 di­a­betes can be iden­tified (Table 2.1) and serve as a frame­work for fu­ture re­search and reg­u­la­to­ry de­ci­sion mak­ing (4,5). The paths to β-cell demise and dysfunc­tion are less well defined in type 2 di­a­betes, but deficient β-cell in­sulin se­cre­tion, fre­quent­ly in the set­ting of in­sulin re­sis­tance, ap­pears to be the com­mon de­nom­i­na­tor. Char­ac­ter­i­za­tion of sub­types of this het­ero­ge­neous dis­or­der have been de­vel­oped and val­i­dat­ed in Scan­di­na­vian and North­ern Eu­ro­pean pop­u­la­tions but have not been confirmed in other eth­nic and racial groups. Type 2 di­a­betes is pri­mar­i­ly as­so­ci­at­ed with in­sulin se­cre­to­ry de­fects re­lat­ed to inflam­ma­tion and metabol­ic stress among other con­trib­u­tors, in­clud­ing ge­net­ic fac­tors. Fu­ture clas­sification schemes for di­a­betes will like­ly focus on the patho­phys­i­ol­o­gy of the un­der­ly­ing β-cell dysfunc­tion and the stage of dis­ease as in­di­cat­ed by glu­cose sta­tus (nor­mal, im­paired, or di­a­betes) (4).

Sug­gest­ed ci­ta­tion: Amer­i­can Di­a­betes As­so­ci­a­tion. 2. Clas­sification and di­ag­no­sis of di­a­betes: Stan­dards of Med­i­cal Care in Di­a­betesd2019. Di­a­betes Care 2019;42(Suppl. 1):S13–S28 © 2018 by the Amer­i­can Di­a­betes As­so­ci­a­tion. Read­ers may use this ar­ti­cle as long as the work is prop­er­ly cited, the use is ed­u­ca­tion­al and not for prof­it, and the work is not al­tered. More in­for­ma­tion is avail­able at http://www.di­a­betesjournals .org/‍content/‍license.

xxxxx

2.0.0.0 DI­AG­NOS­TIC TESTS FOR DI­A­BETES

2.1.0.0 In­tro­duc­tion

Di­a­betes may be di­ag­nosed based on plas­ma glu­cose cri­te­ria, ei­ther the fast­ing plas­ma glu­cose (FPG) value or the 2-h plas­ma glu­cose (2-h PG) value dur­ing a 75-g oral glu­cose tol­er­ance test (OGTT), or A1C cri­te­ria (6) (Table 2.2).

Gen­er­al­ly, FPG, 2-h PG dur­ing 75-g OGTT, and A1C are equal­ly ap­pro­pri­ate for di­ag­nos­tic test­ing. It should be noted that the tests do not nec­es­sar­i­ly de­tect di­a­betes in the same in­di­vid­u­als. The efficacy of in­ter­ven­tions for pri­ma­ry pre­ven­tion of type 2 di­a­betes (7,8) has pri­mar­i­ly been demon­strat­ed among in­di­vid­u­als who have im­paired glu­cose tol­er­ance (IGT) with or with­out el­e­vat­ed fast­ing glu­cose, not for in­di­vid­u­als with iso­lat­ed im­paired fast­ing glu­cose (IFG) or for those with predi­a­betes defined by A1C cri­te­ria.

The same tests may be used to screen for and di­ag­nose di­a­betes and to de­tect in­di­vid­u­als with predi­a­betes. Di­a­betes may be iden­tified any­where along the spec­trum of clin­i­cal sce­nar­ios: in seem­ing­ly low-‍risk in­di­vid­u­als who hap­pen to have glu­cose test­ing, in in­di­vid­u­als test­ed based on di­a­betes risk as­sess­ment, and in symp­tomat­ic pa­tients.

Table 2.1 - Stag­ing of type 1 di­a­betes (4,5)

xxxxx

2.2.0.0 Fast­ing and 2-Hour Plas­ma Glu­cose

The FPG and 2-h PG may be used to di­ag­nose di­a­betes (Table 2.2). The con­cor­dance be­tween the FPG and 2-h PG tests is im­per­fect, as is the con­cor­dance be­tween A1C and ei­ther glu­cose-‍based test. Com­pared with FPG and A1C cut points, the 2-h PG value di­ag­noses more peo­ple with predi­a­betes and di­a­betes (9).

xxxxx

2.3.0.0 A1C

Rec­om­men­da­tions

2.1 To avoid misdi­ag­no­sis or missed di­ag­no­sis, the A1C test should be per­formed using a method that is certified by the NGSP and stan­dard­ized to the Di­a­betes Con­trol and Com­pli­ca­tions Trial (DCCT) assay. B

2.2 Marked dis­cor­dance be­tween mea­sured A1C and plas­ma glu­cose lev­els should raise the pos­si­bil­i­ty of A1C assay in­ter­fer­ence due to hemoglobin vari­ants (i.e., hemoglobinopathies) and con­sid­er­a­tion of using an assay with­out in­ter­fer­ence or plas­ma blood glu­cose cri­te­ria to di­ag­nose di­a­betes. B

2.3 In con­di­tions as­so­ci­at­ed with an al­tered re­la­tion­ship be­tween A1C and glycemia, such as sick­le cell dis­ease, preg­nan­cy (sec­ond and third trimesters and the post­par­tum pe­ri­od), glu­cose-‍6-‍phos­phate de­hy­dro­ge­nase deficien­cy, HIV, hemodial­y­sis, re­cent blood loss or trans­fu­sion, or ery­thro­poi­etin ther­a­py, only plas­ma blood glu­cose cri­te­ria should be used to di­ag­nose di­a­betes. B

The A1C test should be per­formed using a method that is certified by the NGSP (www.ngsp.org) and stan­dard­ized or trace­able to the Di­a­betes Con­trol and Com­pli­ca­tions Trial (DCCT) ref­er­ence assay. Al­though point-‍of-‍care A1C as­says may be NGSP certified or U.S. Food and Drug Ad­min­is­tra­tion ap­proved for di­ag­no­sis, proficien­cy test­ing is not al­ways man­dat­ed for per­form­ing the test. There­fore, point-‍of-‍care as­says ap­proved for di­ag­nos­tic pur­pos­es should only be con­sid­ered in set­tings li­censed to per­form mod­er­ate-‍to-‍high com­plex­i­ty tests. As dis­cussed in Sec­tion 6 “Glycemic Tar­gets,” point-‍of-‍care A1C as­says may be more gen­er­ally ap­plied for glu­cose mon­i­tor­ing.

The A1C has sev­er­al ad­van­tages com­pared with the FPG and OGTT, in­clud­ing greater con­ve­nience (fast­ing not re­quired), greater pre­an­a­lyt­i­cal sta­bil­i­ty, and less day-‍to-‍day per­tur­ba­tions dur­ing stress and ill­ness. How­ev­er, these ad­van­tages may be off­set by the lower sen­si­tiv­i­ty of A1C at the des­ig­nat­ed cut point, greater cost, lim­it­ed avail­abil­i­ty of A1C test­ing in cer­tain re­gions of the de­vel­op­ing world, and the im­per­fect cor­re­la­tion be­tween A1C and av­er­age glu­cose in cer­tain in­di­vid­u­als. The A1C test, with a di­ag­nos­tic thresh­old of ≥6.5% (48 mmol/‍mol), di­ag­noses only 30% of the di­a­betes cases iden­tified col­lec­tive­ly using A1C, FPG, or 2-h PG, ac­cord­ing to Na­tion­al Health and Nu­tri­tion Ex­am­i­na­tion Sur­vey (NHA­NES) data (10). When using A1C to di­ag­nose di­a­betes, it is im­por­tant to rec­og­nize that A1C is an in­di­rect mea­sure of av­er­age blood glu­cose lev­els and to take other fac­tors into con­sid­er­a­tion that may im­pact hemoglobin gly­ca­tion inde­pen­dently of glycemia in­clud­ing HIV treat­ment (11,12), age, race/ eth­nicity, preg­nan­cy sta­tus, ge­net­ic back­ground, and ane­mia/‍hemoglobinopathies.

Table 2.2 - Cri­te­ria for the di­ag­no­sis of di­a­betes

Age

The epi­demi­o­log­i­cal stud­ies that formed the basis for rec­om­mend­ing A1C to di­ag­nose di­a­betes in­clud­ed only adult pop­u­la­tions (10). How­ev­er, a re­cent ADA clin­i­cal guid­ance con­clud­ed that A1C, FPG, or 2-h PG can be used to test for predi­a­betes or type 2 di­a­betes in chil­dren and ado­les­cents. (see p. S20 SCREEN­ING AND TEST­ING FOR PREDI­A­BETES AND TYPE 2 DI­A­BETES IN CHIL­DREN AND ADO­LES­CENTS for ad­di­tion­al in­for­ma­tion) (13).

Race/‍Eth­nic­i­ty/‍Hemoglobinopathies

Hemoglobin vari­ants can in­ter­fere with the mea­surement of A1C, al­though most as­says in use in the U.S. are un­af­fect­ed by the most com­mon vari­ants. Marked dis­crep­an­cies be­tween mea­sured A1C and plas­ma glu­cose lev­els should prompt con­sid­er­a­tion that the A1C assay may not be re­li­able for that in­di­vid­u­al. For pa­tients with a hemoglobin vari­ant but nor­mal red blood cell turnover, such as those with the sick­le cell trait, an A1C assay with­out in­ter­fer­ence from hemoglobin vari­ants should be used. An up­dat­ed list of A1C as­says with in­ter­fer­ences is avail­able at www.ngsp.org/‍interf.asp.

African Amer­i­cans het­erozy­gous for the com­mon hemoglobin vari­ant HbS may have, for any given level of mean glycemia, lower A1C by about 0.3% than those with­out the trait (14). An­oth­er ge­net­ic vari­ant, X-‍linked glu­cose-‍6-‍phos­phate de­hy­dro­ge­nase G202A, car­ried by 11% of African Amer­i­cans, was as­so­ci­at­ed with a de­crease in A1C of about 0.8% in ho­mozy­gous men and 0.7% in ho­mozy­gous women com­pared with those with­out the vari­ant (15).

Even in the ab­sence of hemoglobin vari­ants, A1C lev­els may vary with race/ eth­nicity inde­pen­dently of glycemia (16-18). For ex­am­ple, African Amer­i­cans may have high­er A1C lev­els than non-‍His­pan­ic whites with sim­i­lar fast­ing and postglu­cose load glu­cose lev­els (19), and A1C lev­els may be high­er for a given mean glu­cose con­cen­tra­tion when mea­sured with con­tin­u­ous glu­cose mon­i­tor­ing (20). Though conflict­ing data ex­ists, African Amer­i­cans may also have high­er lev­els of fruc­tosamine and gly­cat­ed al­bu­min and lower lev­els of 1,5-‍an­hy­droglu­ci­tol, sug­gest­ing that their glycemic bur­den (par­tic­u­lar­ly post­pran­di­al­ly) may be high­er (21,22). The as­so­ci­a­tion of A1C with risk for com­pli­ca­tions ap­pears to be sim­i­lar in African Amer­i­cans and non-‍His­pan­ic whites (23,24).

Other Con­di­tions Al­ter­ing the Re­la­tion­ship of A1C and Glycemia

In con­di­tions as­so­ci­at­ed with in­creased red blood cell turnover, such as sick­le cell dis­ease, preg­nan­cy (sec­ond and third trimesters), glu­cose-‍6-‍phos­phate de­hy­dro­ge­nase deficien­cy (25,26), hemodial­y­sis, re­cent blood loss or trans­fu­sion, or ery­thro­poi­etin ther­a­py, only plas­ma blood glu­cose cri­te­ria should be used to di­ag­nose di­a­betes (27). A1C is less re­li­able than blood glu­cose mea­surement in other con­di­tions such as post­par­tum (28-30), HIV treat­ed with cer­tain drugs (11), and irondeficient ane­mia (31).

xxxxx

2.4.0.0 Confirming the Di­ag­no­sis

Un­less there is a clear clin­i­cal di­ag­no­sis (e.g., pa­tient in a hy­per­glycemic cri­sis or with clas­sic symp­toms of hy­per­glycemia and a ran­dom plas­ma glu­cose ≥200 mg/dL [11.1 mmol/‍L]), di­ag­no­sis re­quires two abnor­mal test re­sults from the same sam­ple (32) or in two sep­a­rate test sam­ples. If using two sep­a­rate test sam­ples, it is rec­om­mend­ed that the sec­ond test, which may ei­ther be a re­peat of the ini­tial test or a dif­ferent test, be per­formed with­out delay. For ex­am­ple, if the A1C is 7.0% (53 mmol/‍mol) and a re­peat re­sult is 6.8% (51 mmol/‍mol), the di­ag­no­sis of di­a­betes is confirmed. If two dif­ferent tests (such as A1C and FPG) are both above the di­ag­nos­tic thresh­old when an­a­lyzed from the same sam­ple or in two dif­ferent test sam­ples, this also confirms the di­ag­no­sis. On the other hand, if a pa­tient has dis­cor­dant re­sults from two dif­ferent tests, then the test re­sult that is above the di­ag­nos­tic cut point should be re­peated, with con­sid­er­a­tion of the pos­si­bil­i­ty of A1C assay in­ter­fer­ence. The di­ag­no­sis is made on the basis of the confirmed test. For ex­am­ple, if a pa­tient meets the di­a­betes cri­terion of the A1C (two re­sults ≥6.5% [48 mmol/‍mol]) but not FPG (,126 mg/dL [7.0 mmol/‍L]), that per­son should nev­er­the­less be con­sid­ered to have di­a­betes. Since all the tests have pre­an­a­lyt­ic and an­a­lyt­ic vari­abil­i­ty, it is pos­si­ble that an abnor­mal re­sult (i.e., above the di­ag­nos­tic thresh­old), when re­peated, will pro­duce a value below the di­ag­nos­tic cut point. This sce­nario is like­ly for FPG and 2-h PG if the glu­cose sam­ples re­main at room tem­per­a­ture­and are not­cen­trifuged prompt­ly. Be­cause of the po­ten­tial for pre­an­a­lyt­ic vari­abil­i­ty, it is crit­i­cal that sam­ples for plas­ma glu­cose be spun and sep­a­rated im­me­di­ate­ly after they are drawn. If pa­tients have test re­sults nearthe­mar­gin­sof the di­ag­nos­tic thresh­old, the health care pro­fes­sion­al should fol­low the pa­tient close­ly and re­peat the test in 3–6 months.

xxxxx

3.0.0.0 TYPE 1 DI­A­BETES

3.1.0.0 Rec­om­men­da­tions

Rec­om­men­da­tions

2.4 Plas­ma blood glu­cose rather than A1C should be used to di­ag­nose the acute onset of type 1 di­a­betes in in­di­vid­u­als with symp­toms of hy­per­glycemia. E

2.5 Screen­ing for type 1 di­a­betes risk with a panel of au­toan­ti­bod­ies is cur­rently rec­om­mend­ed only in the set­ting of a re­search trial or in first-‍de­gree fam­i­ly mem­bers of a proband with type 1 di­a­betes. B

2.6 Per­sis­tence of two or more au­toan­ti­bod­ies pre­dicts clin­i­cal di­a­betes and may serve as an in­di­ca­tion for in­ter­ven­tion in the set­ting of a clin­i­cal trial. B

xxxxx

3.2.0.0 Di­ag­no­sis

In a pa­tient with clas­sic symp­toms, mea­surement of plas­ma glu­cose is sufficient to di­ag­nose di­a­betes (symp­toms of hy­per­glycemia or hy­per­glycemic cri­sis plus a ran­dom plas­ma glu­cose ≥200 mg/dL [11.1 mmol/‍L]). In these cases, know­ing the plas­ma glu­cose level is crit­i­cal be­cause, in ad­di­tion to confirming that symp­toms are due to di­a­betes, it will in­form man­age­ment de­ci­sions. Some pro­viders may also want to know the A1C to de­ter­mine how long a pa­tient has had hy­per­glycemia. The cri­te­ria to di­ag­nose di­a­betes are list­ed in Table 2.2.

xxxxx

3.3.0.0 Im­mune-‍Me­di­at­ed Di­a­betes

This form, pre­vi­ous­ly called “in­sulin-‍de­pen­dent di­a­betes” or “ju­ve­nile-‍onset di­a­betes,”ac­counts for 5–10% of di­a­betes and is due to cel­lu­lar-‍me­di­at­ed au­toim­mune de­struc­tion of the pan­cre­at­ic β-‍cells. Au­toim­mune mark­ers in­clude islet cell au­toan­ti­bod­ies and au­toan­ti­bod­ies to GAD (GAD65), in­sulin, the ty­ro­sine phos­phatases IA-2 and IA-2b, and ZnT8. Type 1 di­a­betes is defined by the pres­ence of one or more of these au­toim­mune mark­ers. The dis­ease has strong HLA as­so­ci­a­tions, with link­age to the DQA and DQB genes. These HLA-‍DR/DQ al­le­les can be ei­ther pre­dis­pos­ing or pro­tec­tive.

The rate of β-cell de­struc­tion is quite vari­able, being rapid in some in­di­vid­u­als (main­ly in­fants and chil­dren) and slow in oth­ers (main­ly adults). Chil­dren and ado­les­cents may pre­sent with DKA as the first man­i­fes­ta­tion of the dis­ease. Oth­ers have mod­est fast­ing hy­per­glycemia that can rapid­ly change to se­vere hy­per­glycemia and/‍or DKA with in­fec­tion or other stress. Adults may re­tain sufficient β-cell func­tion to pre­vent DKA for many years; such in­di­vid­u­als even­tu­al­ly be­come de­pen­dent on in­sulin for sur­vival and are at risk for DKA. At this lat­ter stage of the dis­ease, there is lit­tle or no in­sulin se­cre­tion, as man­i­fest­ed by low or unde­tectable lev­els of plas­ma C-‍pep­tide. Im­mune-‍me­di­at­ed di­a­betes com­monly oc­curs in child­hood and ado­les­cence, but it can occur at any age, even in the 8th and 9th decades of life.

Au­toim­mune de­struc­tion of β-‍cells has mul­ti­ple ge­net­ic predispo­si­tions and is also re­lat­ed to en­vi­ron­men­tal fac­tors that are still poor­ly defined. Al­though pa­tients are not typ­i­cal­ly obese when they pre­sent with type 1 di­a­betes, obe­si­ty should not pre­clude the di­ag­no­sis. Peo­ple with type 1 di­a­betes are also prone to other au­toim­mune dis­or­ders such as Hashimo­to thy­roidi­tis, Graves dis­ease, Ad­di­son dis­ease, celi­ac dis­ease, vi­tili­go, au­toim­mune hep­ati­tis, myas­the­nia gravis, and per­ni­cious ane­mia (see Sec­tion 4 “Com­pre­hen­sive Med­i­cal Eval­u­a­tion and As­sess­ment of Co­mor­bidi­ties”).

xxxxx

3.4.0.0 Id­io­path­ic Type 1 Di­a­betes

Some forms of type 1 di­a­betes have no known eti­olo­gies. These pa­tients have per­ma­nent in­sulinopenia and are prone to DKA, but have no ev­i­dence of β-cell au­toim­mu­ni­ty. Al­though only a mi­nor­i­ty of pa­tients with type 1 di­a­betes fall into this cat­e­go­ry, of those who do, most are of African or Asian an­ces­try. In­di­vid­u­als with this form of di­a­betes suf­fer from episod­ic DKA and ex­hib­it vary­ing de­grees of in­sulin deficien­cy be­tween episodes. This form of di­a­betes is strong­ly in­her­it­ed and is not HLA as­so­ci­at­ed. An ab­so­lute re­quirement for in­sulin re­place­ment ther­a­py in af­fect­ed pa­tients may be in­ter­mit­tent.

xxxxx

3.5.0.0 Screen­ing for Type 1 Di­a­betes Risk

The in­ci­dence and preva­lence of type 1 di­a­betes is in­creas­ing (33). Pa­tients with type 1 di­a­betes often pre­sent with acute symp­toms of di­a­betes and marked­ly el­e­vat­ed blood glu­cose lev­els, and ap­prox­i­mate­ly one-‍third are di­ag­nosed with life-‍threat­en­ing DKA (2). Sev­er­al stud­ies in­di­cate that mea­sur­ing islet au­toan­ti­bod­ies in rel­a­tives of those with type 1 di­a­betes may iden­tify in­di­vid­u­als who are at risk for de­vel­op­ing type 1 di­a­betes (5). Such test­ing, cou­pled with ed­u­ca­tion about di­a­betes symp­toms and close fol­low-‍up, may en­able ear­li­er iden­tification of type 1 di­a­betes onset. A study re­port­ed the risk of pro­gres­sion to type 1 di­a­betes from the time of se­ro­con­ver­sion to autoan­ti­body pos­i­tiv­i­ty in three pe­di­atric co­horts from Fin­land, Ger­many, and the U.S. Of the 585 chil­dren who de­vel­oped more than two au­toan­ti­bod­ies, near­ly 70% de­vel­oped type 1 di­a­betes with­in 10 years and 84% with­in 15 years (34). These find­ings are high­ly significant be­cause while the Ger­man group was re­cruit­ed from off­spring of par­ents with type 1 di­a­betes, the Finnish and Amer­i­can groups were re­cruit­ed from the gen­er­al pop­u­la­tion. Re­mark­ably, the find­ings in all three groups were the same, sug­gest­ing that the same se­quence of events led to clin­i­cal dis­ease in both “spo­radic” and fa­mil­ial cases of type 1 di­a­betes. In­deed, the risk of type 1 di­a­betes in­creas­es as the num­ber of rel­e­vant au­toan­ti­bod­ies de­tected in­creas­es (35-37).

Al­though there is cur­rently a lack of ac­cept­ed screen­ing pro­grams, one should con­sid­er re­fer­ring rel­a­tives of those with type 1 di­a­betes for an­ti­body test­ing for risk as­sess­ment in the set­ting of a clin­i­cal re­search study (www.di­a­betestrialnet.org). Widespread clin­i­cal test­ing of asymp­tomat­ic low-‍risk in­di­vid­u­als is not cur­rently rec­om­mend­ed due to lack of ap­proved ther­a­peu­tic in­ter­ven­tions. In­di­vid­u­als who test pos­i­tive should be coun­seled about the risk of de­vel­op­ing di­a­betes, di­a­betes symp­toms, and DKA pre­ven­tion. Nu­mer­ous clin­i­cal stud­ies are being con­duct­ed to test var­i­ous meth­ods of pre­venting type 1 di­a­betes in those with ev­i­dence of au­toim­mu­ni­ty (www.clin­i­caltri­als.gov).

xxxxx

4.0.0.0 PREDI­A­BETES AND TYPE 2 DI­A­BETES

4.1.0.0 Rec­om­men­da­tions

Rec­om­men­da­tions

2.7 Screen­ing for predi­a­betes and type 2 di­a­betes with an in­for­mal as­sess­ment of risk fac­tors or val­i­dat­ed tools should be con­sid­ered in asymp­tomat­ic adults. B

2.8 Test­ing for predi­a­betes and/‍or type 2 di­a­betes in asymp­tomat­ic peo­ple should be con­sid­ered in adults of any age who are over­weight or obese(BMI ≥25 kg/m2 or ≥23 kg/m2 in Asian Amer­i­cans) and who have one or more ad­di­tion­al risk fac­tors for di­a­betes (Table 2.3). B

2.9 For all peo­ple, test­ing should begin at age 45 years. B

2.10 If tests are nor­mal, re­peat test­ing car­ried out at a min­i­mum of 3-year in­ter­vals is rea­son­able. C

2.11 To test for predi­a­betes and type 2 di­a­betes, fast­ing plas­ma glu­cose, 2-h plas­ma glu­cose dur­ing 75-g oral glu­cose tol­er­ance test, and A1C are equal­ly ap­pro­pri­ate. B

2.12 In pa­tients with predi­a­betes and type 2 di­a­betes, iden­tify and, if ap­pro­pri­ate, treat other car­dio­vas­cu­lar dis­ease risk fac­tors. B

2.13 Risk-‍based screen­ing for predi­a­betes and/‍or type 2 di­a­betes should be con­sid­ered after the onset of­pu­ber­ty or after 10 years of age, whichev­er oc­curs ear­li­er, in chil­dren and ado­les­cents who are over­weight(BMI ≥85th per­centile) or obese (BMI ≥95th per­centile) and who have ad­di­tion­al risk fac­tors for di­a­betes. (See Table 2.4 for ev­i­dence grad­ing of risk fac­tors.)

xxxxx

4.2.0.0 Predi­a­betes

“Predi­a­betes” is the term used for in­di­vid­u­als whose glu­cose lev­els do not meet the cri­te­ria for di­a­betes but are too high to be con­sid­ered nor­mal (23,24). Pa­tients with predi­a­betes are defined by the pres­ence of IFG and/‍or IGT and/‍or A1C 5.7–6.4% (39–47 mmol/‍mol) (Table 2.5). Predi­a­betes should not be viewed as a clin­i­cal en­ti­ty in its own right but rather as an in­creased risk for di­a­betes and car­dio­vas­cu­lar dis­ease (CVD). Cri­te­ria for test­ing for di­a­betes or predi­a­betes in asymp­tomat­ic adults is out­lined in Table 2.3. Predi­a­betes is as­so­ci­at­ed with obe­si­ty (es­pe­cial­ly ab­dom­i­nal or vis­cer­al obe­si­ty), dys­lipi­demia with high triglyc­erides and/‍or low HDL choles­terol, and hy­per­ten­sion.

Di­ag­no­sis

IFG is defined as FPG lev­els be­tween 100 and 125 mg/dL (be­tween 5.6 and 6.9 mmol/‍L) (38,39) and IGT as 2-h PG dur­ing 75-g OGTT lev­els be­tween 140 and 199 mg/dL (be­tween 7.8 and 11.0 mmol/‍L) (40). It should be noted that the World Health Or­ga­ni­za­tion (WHO) and nu­mer­ous other di­a­betes or­ga­ni­za­tions define the IFG cut­off at 110 mg/dL (6.1 mmol/‍L).

As with the glu­cose mea­sures, sev­er­al prospec­tive stud­ies that used A1C to pre­dict the pro­gres­sion to di­a­betes as defined by A1C cri­te­ria demon­strat­ed a strong, con­tin­u­ous as­so­ci­a­tion be­tween A1C and sub­se­quent di­a­betes. In a sys­tematic re­view of 44,203 in­di­vid­u­als from 16 co­hort stud­ies with a fol­low-‍up in­ter­val av­er­ag­ing 5.6 years (range 2.8– 12 years), those with A1C be­tween 5.5 and 6.0% (be­tween 37 and 42 mmol/‍mol) had a sub­stan­tial­ly in­creased risk of di­a­betes (5-year in­ci­dence from 9 to 25%). Those with an A1C range of 6.0–6.5% (42–48 mmol/‍mol) had a 5-year risk of de­vel­op­ing di­a­betes be­tween 25 and 50% and a rel­a­tive risk 20 times high­er com­pared with A1C of 5.0% (31 mmol/‍mol) (41). In a com­mu­ni­ty-‍based study of African Amer­i­can and non-‍His­pan­ic white adults with­out di­a­betes, base­line A1C was a stronger pre­dic­tor of sub­se­quent di­a­betes and car­dio­vas­cu­lar events than fast­ing glu­cose (42). Other anal­y­ses sug­gest that A1C of 5.7% (39 mmol/‍mol) or high­er is as­so­ci­at­ed with a di­a­betes risk sim­i­lar to that of the high-‍risk par­tic­i­pants in the Di­a­betes Pre­ven­tion Pro­gram (DPP) (43), and A1C at base­line was a strong pre­dic­tor of the de­vel­op­ment of glu­cose-‍defined di­a­betes dur­ing the DPP and its fol­low-‍up (44). Hence, it is rea­son­able to con­sid­er an A1C range of 5.7–6.4% (39–47 mmol/‍mol) as iden­tifying in­di­vid­u­als with predi­a­betes. Sim­i­lar to those with IFG and/‍or IGT, in­di­vid­u­als with A1C of 5.7– 6.4% (39–47 mmol/‍mol) should be in­formed of their in­creased risk for di­a­betes and CVD and coun­seled about ef­fec­tive strate­gies to lower their risks (see Sec­tion 3 “Pre­ven­tion or Delay of Type 2 Di­a­betes”). Sim­i­lar to glu­cose mea­surements, the con­tin­u­um of risk is curvi­lin­ear, so as A1C rises, the di­a­betes risk rises dis­pro­por­tion­ate­ly (41). Ag­gres­sive in­ter­ven­tions and vig­i­lant fol­low-‍up should be pur­sued for those con­sid­ered at very high risk (e.g., those with A1C >6.0% [42 mmol/‍mol]). Table 2.5 sum­ma­rizes the cat­e­gories of predi­a­betes and Table 2.3 the cri­te­ria for predi­a­betes test­ing. The ADA di­a­betes risk test is an ad­di­tion­al op­tion for as­sess­ment to de­ter­mine the ap­pro­pri­ateness of test­ing for di­a­betes or predi­a­betes in asymp­tomat­ic adults. (Fig. 2.1) (di­a­betes.org/‍socrisktest). For ad­di­tion­al back­ground re­gard­ing risk fac­tors and screen­ing for predi­a­betes, see pp. S18–S20 (SCREEN­ING AND TEST­ING FOR PREDI­A­BETES AND TYPE 2 DI­A­BETES IN ASYMP­TOMAT­IC ADULTS and SCREEN­ING AND TEST­ING FOR PREDI­A­BETES AND TYPE 2 DI­A­BETES IN CHIL­DREN AND ADO­LES­CENTS).

Table 2.3 - Cri­te­ria for test­ing for di­a­betes or predi­a­betes in asymp­tomat­ic adults

Table 2.4 - Risk-‍based screen­ing for type 2 di­a­betes or predi­a­betes in asymp­tomat­ic chil­dren and ado­les­cents in a clin­i­cal set­ting

Table 2.5 - Cri­te­ria defining predi­a­betes*

xxxxx

4.3.0.0 Type 2 Di­a­betes

Type 2 di­a­betes, pre­vi­ous­ly re­ferred to as “nonin­sulin-‍de­pen­dent di­a­betes” or “adult-‍onset di­a­betes,” ac­counts for 90– 95% of all di­a­betes. This form en­com­pass­es in­di­vid­u­als who have rel­a­tive (rather than ab­so­lute) in­sulin deficien­cy and have pe­riph­er­al in­sulin re­sis­tance. At least ini­tially, and often through­out their life­time, these in­di­vid­u­als may not need in­sulin treat­ment to sur­vive.

There are var­i­ous caus­es of type 2 di­a­betes. Al­though the specific eti­olo­gies are not known, au­toim­mune de­struc­tion of β-‍cells does not occur and pa­tients do not have any of the other known caus­es of di­a­betes. Most but not all pa­tients with type 2 di­a­betes are over­weight or obese. Ex­cess weight it­self caus­es some de­gree of in­sulin re­sis­tance. Pa­tients who are not obese or over­weight by tra­di­tion­al weight cri­te­ria may have an in­creased per­cent­age of body fat dis­tribut­ed pre­dom­i­nant­ly in the ab­dom­i­nal region.

DKA sel­dom oc­curs spon­ta­neous­ly in type 2 di­a­betes; when seen, it usu­al­ly aris­es in as­so­ci­a­tion with the stress of an­oth­er ill­ness such as in­fec­tion or with the use of cer­tain drugs (e.g., cor­ti­cos­teroids, atyp­i­cal an­tipsy­chotics, and sodi­um–glu­cose co­trans­porter 2 in­hibitors) (45,46). Type 2 di­a­betes fre­quent­ly goes undi­ag­nosed for many years be­cause hy­per­glycemia de­vel­ops grad­u­al­ly and, at ear­li­er stages, is often not se­vere enough for the pa­tient to no­tice the clas­sic di­a­betes symp­toms. Nev­er­the­less, even undi­ag­nosed pa­tients are at in­creased risk of de­vel­op­ing macrovas­cu­lar and mi­crovas­cu­lar com­pli­ca­tions.

Whe­re­as pa­tients with type 2 di­a­betes may have in­sulin lev­els that ap­pear nor­mal or el­e­vat­ed, the high­er blood glu­cose lev­els in these pa­tients would be ex­pect­ed to re­sult in even high­er in­sulin val­ues had their β-cell func­tion been nor­mal. Thus, in­sulin se­cre­tion is de­fec­tive in these pa­tients and insufficient to com­pen­sate for in­sulin re­sis­tance.

In­sulin re­sis­tance may im­prove with weight re­duc­tion and/‍or phar­ma­co­log­ic treat­ment of hy­per­glycemia but is sel­dom re­stored to nor­mal.

The risk of de­vel­op­ing type 2 di­a­betes in­creas­es with age, obe­si­ty, and lack of phys­i­cal ac­tiv­i­ty. It oc­curs more fre­quent­ly in women with prior GDM, in those with hy­per­ten­sion or dys­lipi­demia, and in cer­tain racial/eth­nic sub­groups (African Amer­i­can, Amer­i­can In­di­an, His­pan­ic/‍Latino, and Asian Amer­i­can). It is often as­so­ci­at­ed with a strong ge­net­ic predispo­si­tion or fam­i­ly his­to­ry in first-‍de­gree rel­a­tives, more so than type 1 di­a­betes. How­ev­er, the ge­net­ics of type 2 di­a­betes is poor­ly un­der­stood. In adults with­out tra­di­tion­al risk fac­tors for type 2 di­a­betes and/‍or younger age, con­sid­er an­ti­body test­ing to ex­clude the di­ag­no­sis of type 1 di­a­betes (i.e., GAD).

xxxxx

4.4.0.0 Screen­ing and Test­ing

4.4.1.0 Screen­ing and Test­ing for Predi­a­betes and Type 2 Di­a­betes in Asymp­tomat­ic Adults

Screen­ing for predi­a­betes and type 2 di­a­betes risk through an in­for­mal as­sess­ment of risk fac­tors (Table 2.3) or with an as­sess­ment tool, such as the ADA risk test (Fig. 2.1) (di­a­betes.org/‍socrisktest), is rec­om­mend­ed to guide pro­viders on whether per­form­ing a di­ag­nos­tic test (Table 2.2) is ap­pro­pri­ate. Predi­a­betes and type 2 di­a­betes meet cri­te­ria for con­di­tions in which early de­tec­tion is ap­pro­pri­ate. Both con­di­tions are com­mon and im­pose significant clin­i­cal and pub­lic health bur­dens. There is often a long presymp­tomat­ic phase be­fore the di­ag­no­sis of type 2 di­a­betes. Sim­ple tests to de­tect preclin­i­cal dis­ease are read­i­ly avail­able. The du­ra­tion of glycemic bur­den is a strong pre­dic­tor of ad­verse out­comes. There are ef­fec­tive in­ter­ven­tions that pre­vent pro­gres­sion from predi­a­betes to di­a­betes (see Sec­tion 3 “Pre­ven­tion or Delay of Type 2 Di­a­betes”) and re­duce the risk of di­a­betes com­pli­ca­tions (see Sec­tion 10 “Car­dio­vas­cu­lar Dis­ease and Risk Man­age­ment” and Sec­tion 11 “Mi­crovas­cu­lar Com­pli­ca­tions and Foot Care”).

Ap­prox­i­mate­ly one-‍quar­ter of peo­ple with di­a­betes in the U.S. and near­ly half of Asian and His­pan­ic Amer­i­cans with di­a­betes are undi­ag­nosed (38,39). Al­though screen­ing of asymp­tomat­ic in­di­vid­u­als to iden­tify those with predi­a­betes or di­a­betes might seem rea­son­able, rig­or­ous clin­i­cal tri­als to prove the ef­fec­tiveness of such screen­ing have not been con­duct­ed and are unlike­ly to occur.

A large Eu­ro­pean ran­domized con­trolled trial com­pared the im­pact of screen­ing for di­a­betes and in­ten­sive mul­ti­fac­to­ri­al in­ter­ven­tion with that of screen­ing and rou­tine care (47). Gen­er­al prac­tice pa­tients be­tween the ages of 40 and 69 years were screened for di­a­betes and ran­domly as­signed by prac­tice to in­ten­sive treat­ment of mul­ti­ple risk fac­tors or rou­tine di­a­betes care. After 5.3 years of fol­low-‍up, CVD risk fac­tors were mod­estly but significant­ly im­proved with in­ten­sive treat­ment com­pared with rou­tine care, but the in­ci­dence of first CVD events or mor­tal­i­ty was not significant­ly dif­ferent be­tween the groups (40). The ex­cel­lent care pro­vided to pa­tients in the rou­tine care group and the lack of an un­screened con­trol arm lim­it­ed the au­thors’ abil­i­ty to de­ter­mine whether screen­ing and early treat­ment im­proved out­comes com­pared with no screen­ing and later treat­ment after clin­i­cal di­ag­noses. Com­put­er sim­u­la­tion mod­el­ing stud­ies sug­gest that major benefits are like­ly to ac­crue from the early di­ag­no­sis and treat­ment of hy­per­glycemia and car­dio­vas­cu­lar risk fac­tors in type 2 di­a­betes (48); more­over, screen­ing, be­gin­ning at age 30 or 45 years and inde­pen­dent of risk fac­tors, may be cost-‍ef­fec­tive (<$11,000 per qual­i­ty-adjusted life-‍year gained) (49). Ad­di­tion­al con­sid­er­a­tions re­gard­ing test­ing for type 2 di­a­betes and predi­a­betes in asymp­tomat­ic pa­tients in­clude the fol­low­ing.

Fig­ure 2.1 - ADA risk test (di­a­betes.org/‍socrisktest).

Age

Age is a major risk fac­tor for di­a­betes. Test­ing should begin at no later than age 45 years for all pa­tients. Screen­ing should be con­sid­ered in over­weight or obese adults of any age with one or more risk fac­tors for di­a­betes.

BMI and Eth­nic­i­ty

In gen­er­al, BMI ≥25 kg/m2 is a risk fac­tor for di­a­betes. How­ev­er, data sug­gest that the BMI cut point should be lower for the Asian Amer­i­can pop­u­la­tion (50,51). The BMI cut points fall con­sis­tent­ly be­tween 23 and 24 kg/m2 (sen­si­tiv­i­ty of 80%) for near­ly all Asian Amer­i­can sub­groups (with lev­els slight­ly lower for Japanese Amer­i­cans). This makes a round­ed cut point of 23 kg/m2 prac­ti­cal. An ar­gu­ment can be made to push the BMI cut point to lower than 23 kg/m2 in favor of in­creased sen­si­tiv­i­ty; how­ev­er, this would lead to an un­ac­cept­ably low specificity (13.1%). Data from the WHO also sug­gest that a BMI of ≥23 kg/m2 should be used to define in­creased risk in Asian Amer­i­cans (52). The finding that one-‍third to one­half of di­a­betes in Asian Amer­i­cans is undi­ag­nosed sug­gests that test­ing is not oc­cur­ring at lower BMI thresh­olds (53,54).

Ev­i­dence also sug­gests that other pop­u­la­tions may benefit from lower BMI cut points. For ex­am­ple, in a large multieth­nic co­hort study, for an equiv­a­lent in­ci­dence rate of di­a­betes, a BMI of 30 kg/m2 in non-‍His­pan­ic whites was equiv­a­lent to a BMI of 26 kg/m2 in African Amer­i­cans (55).

Med­i­ca­tions

Cer­tain med­i­ca­tions, such as glu­co­cor­ti­coids, thi­azide di­uret­ics, some HIV med­i­ca­tions, and atyp­i­cal an­tipsy­chotics (56), are known to in­crease the risk of di­a­betes and should be con­sid­ered when de­cid­ing whether to screen.

Test­ing In­ter­val

The ap­pro­pri­ate in­ter­val be­tween screen­ing tests is not known (57). The ra­tio­nale for the 3-year in­ter­val is that with this in­ter­val, the num­ber of false-‍pos­i­tive tests that re­quire confirma­to­ry test­ing will be re­duced and in­di­vid­u­als with false-‍neg­a­tive tests will be retest­ed be­fore sub­stan­tial time elaps­es and com­pli­ca­tions de­vel­op (57).

Com­mu­ni­ty Screen­ing

Ide­al­ly, test­ing should be car­ried out with­in a health care set­ting be­cause of the need for fol­low-‍up and treat­ment. Com­mu­ni­ty screen­ing out­side a health care set­ting is gen­er­ally not rec­om­mend­ed be­cause peo­ple with pos­i­tive tests may not seek, or have ac­cess to, ap­pro­pri­ate fol­low-‍up test­ing and care. How­ev­er, in specific sit­u­a­tions where an ad­e­quate re­fer­ral sys­tem is es­tab­lished be­forehand for pos­i­tive tests, com­mu­ni­ty screen­ing may be con­sid­ered. Com­mu­ni­ty test­ing may also be poor­ly tar­get­ed; i.e., it may fail to reach the groups most at risk and inap­pro­pri­ately test those at very low risk or even those who have al­ready been di­ag­nosed (58).

Screen­ing in Den­tal Prac­tices

Be­cause pe­ri­odontal dis­ease is as­so­ci­at­ed with di­a­betes, the util­i­ty of screen­ing in a den­tal set­ting and re­fer­ral to pri­ma­ry care as a means to im­prove the di­ag­no­sis of predi­a­betes and di­a­betes has been ex­plored (59-61), with one study es­ti­mat­ing that 30% of pa­tients ≥30 years of age seen in gen­er­al den­tal prac­tices had dys­g­lycemia (61). Fur­ther re­search is need­ed to demon­strate the fea­si­bil­i­ty, ef­fec­tiveness, and costef­fec­tiveness of screen­ing in this set­ting.

xxxxx

4.4.2.0 Screen­ing and Test­ing for Predi­a­betes and Type 2 Di­a­betes in Chil­dren and Ado­les­cents

In the last decade, the in­ci­dence and preva­lence of type 2 di­a­betes in ado­les­cents has in­creased dra­mat­i­cal­ly, es­pe­cial­ly in racial and eth­nic mi­nor­i­ty pop­u­la­tions (33). See Table 2.4 for rec­om­men­da­tions on risk-‍based screen­ing for type 2 di­a­betes or predi­a­betes in asymp­tomat­ic chil­dren and ado­les­cents in a clin­i­cal set­ting (13). See Ta­bles 2.2 and 2.5 for the cri­te­ria for the di­ag­no­sis of di­a­betes and predi­a­betes, re­spec­tive­ly, which apply to chil­dren, ado­les­cents, and adults. See Sec­tion 13 “Chil­dren and Ado­les­cents” for ad­di­tion­al in­for­ma­tion on type 2 di­a­betes in chil­dren and ado­les­cents.

Some stud­ies ques­tion the va­lid­i­ty of A1C in the pe­di­atric pop­u­la­tion, es­pe­cial­ly among cer­tain eth­nicities, and sug­gest OGTT or FPG as more suit­able di­ag­nos­tic tests (62). How­ev­er, many of these stud­ies do not rec­og­nize that di­a­betes di­ag­nos­tic cri­te­ria are based on long-‍term health out­comes, and val­i­da­tions are not cur­rently avail­able in the pe­di­atric pop­u­la­tion (63). The ADA ac­knowl­edges the lim­it­ed data sup­port­ing A1C for di­ag­nos­ing type 2 di­a­betes in chil­dren and ado­les­cents. Al­though A1C is not rec­om­mend­ed for di­ag­no­sis of di­a­betes in chil­dren with cys­tic fibro­sis or symp­toms sug­gestive of acute onset of type 1 di­a­betes and only A1C as­says with­out in­ter­fer­ence are ap­pro­pri­ate for chil­dren with hemoglobinopathies, the ADA con­tin­ues to rec­om­mend A1C for di­ag­no­sis of type 2 di­a­betes in this co­hort (64,65).

xxxxx

5.0.0.0 GES­TA­TION­AL DI­A­BETES MEL­LI­TUS

5.1.0.0 Rec­om­men­da­tions

Rec­om­men­da­tions

2.14 Test for undi­ag­nosed di­a­betes at the first pre­na­tal visit in those with risk fac­tors using stan­dard di­ag­nos­tic cri­te­ria. B

2.15 Test for ges­ta­tional di­a­betes mel­li­tus at 24–28 weeks of ges­ta­tion in preg­nant women not pre­vi­ous­ly known to have di­a­betes. A

2.16 Test women with ges­ta­tional di­a­betes mel­li­tus for predi­a­betes or di­a­betes at 4–12 weeks post­par­tum, using the 75-g oral glu­cose tol­er­ance test and clin­i­cally ap­pro­pri­ate nonpreg­nan­cy di­ag­nos­tic cri­te­ria. B

2.17 Women with a his­to­ry of ges­ta­tional di­a­betes mel­li­tus should have life­long screen­ing for the de­vel­op­ment of di­a­betes or predi­a­betes at least every 3 years. B

2.18 Women with a his­to­ry of ges­ta­tional di­a­betes mel­li­tus found to have predi­a­betes should re­ceive in­ten­sive lifestyle in­ter­ven­tions or met­formin to pre­vent di­a­betes. A

xxxxx

5.2.0.0 Defini­tion

For many years, GDM was defined as any de­gree of glu­cose intol­er­ance that was first rec­og­nized dur­ing preg­nan­cy (40), re­gard­less of whether the con­di­tion may have pre­dat­ed the preg­nan­cy or per­sist­ed after the preg­nan­cy. This defini­tion fa­cil­i­tat­ed a uni­form strat­e­gy for de­tec­tion and clas­sification of GDM, but it was lim­it­ed by im­pre­ci­sion.

The on­go­ing epi­dem­ic of obe­si­ty and di­a­betes has led to more type 2 di­a­betes in women of child­bear­ing age, with an in­crease in the num­ber of preg­nant women with undi­ag­nosed type 2 di­a­betes (66). Be­cause of the num­ber of preg­nant women with undi­ag­nosed type 2 di­a­betes, it is rea­son­able to test women with risk fac­tors for type 2 di­a­betes (67) (Table 2.3) at their ini­tial pre­na­tal visit, using stan­dard di­ag­nos­tic cri­te­ria (Table 2.2). Women di­ag­nosed with di­a­betes by stan­dard di­ag­nos­tic cri­te­ria in the first trimester should be clas­sified as hav­ing pre­ex­ist­ing preges­ta­tional di­a­betes (type 2 di­a­betes or, very rarely, type 1 di­a­betes or mono­genic di­a­betes). Women found to have predi­a­betes in the first trimester may be en­cour­aged to make lifestyle changes to re­duce their risk of de­vel­op­ing type 2 di­a­betes, and per­haps GDM, though more study is need­ed (68). GDM is di­a­betes that is first di­ag­nosed in the sec­ond or third trimester of preg­nan­cy that is not clear­ly ei­ther pre­ex­ist­ing type 1 or type 2 di­a­betes (see Sec­tion 14 “Man­age­ment of Di­a­betes in Preg­nan­cy”). The In­ter­na­tion­al As­so­ci­a­tion of the Di­a­betes and Preg­nan­cy Study Groups (IADPSG) GDM di­ag­nos­tic cri­te­ria for the 75-g OGTT as well as the GDM screen­ing and di­ag­nos­tic cri­te­ria used in the two-‍step ap­proach were not de­rived from data in the first half of preg­nan­cy, so the di­ag­no­sis of GDM in early preg­nan­cy by ei­ther FPG or OGTT val­ues is not ev­i­dence based (69).

Be­cause GDM con­fers in­creased risk for the de­vel­op­ment of type 2 di­a­betes after de­liv­ery (70,71) and be­cause ef­fec­tive pre­ven­tion in­ter­ven­tions are avail­able (72,73), women di­ag­nosed with GDM should re­ceive life­long screen­ing for predi­a­betes and type 2 di­a­betes.

xxxxx

5.3.0.0 Di­ag­no­sis

5.3.1.0 Overview

GDM car­ries risks for the moth­er, fetus, and neonate. Not all ad­verse out­comes are of equal clin­i­cal im­por­tance. The Hy­per­glycemia and Ad­verse Preg­nan­cy Out­come (HAPO) study (74), a large-‍scale multi­na­tion­al co­hort study com­plet­ed by more than 23,000 preg­nant women, demon­strat­ed that risk of ad­verse ma­ter­nal, fetal, and neona­tal out­comes con­tin­u­ously in­creased as a func­tion of ma­ter­nal glycemia at 24–28 weeks of ges­ta­tion, even with­in ranges pre­vi­ous­ly con­sid­ered nor­mal for preg­nan­cy. For most com­pli­ca­tions, there was no thresh­old for risk. These re­sults have led to care­ful recon­sid­er­a­tion of the di­ag­nos­tic cri­te­ria for GDM. GDM di­ag­no­sis (Table 2.6) can be ac­com­plished with ei­ther of two strate­gies:

  1. “One-‍step” 75-g OGTT or
  2. “Two-‍step” ap­proach with a 50-g (nonfast­ing) screen fol­lowed by a 100-g OGTT for those who screen pos­i­tive

Dif­fer­ent di­ag­nos­tic cri­te­ria will iden­tify dif­ferent de­grees of ma­ter­nal hy­per­glycemia and ma­ter­nal/fetal risk, lead­ing some ex­perts to de­bate, and dis­agree on, op­ti­mal strate­gies for the di­ag­no­sis of GDM.

Table 2.6 - Screen­ing for and di­ag­no­sis of GDM

xxxxx

5.3.2.0 One-‍Step Strat­e­gy

The IADPSG defined di­ag­nos­tic cut points for GDM as the av­er­age fast­ing, 1-h, and 2-h PG val­ues dur­ing a 75-g OGTT in women at 24–28 weeks of ges­ta­tion who par­tic­i­pat­ed in the HAPO study at which odds for ad­verse out­comes reached 1.75 times the es­ti­mat­ed odds of these out­comes at the mean fast­ing, 1-h, and 2-h PG lev­els of the study pop­u­la­tion. This one-‍step strat­e­gy was an­tic­i­pat­ed to significant­ly in­crease the in­ci­dence of GDM (from 5–6% to 15–20%), pri­mar­i­ly be­cause only one abnor­mal value, not two, be­came sufficient to make the di­ag­no­sis (75). The an­tic­i­pat­ed in­crease in the in­ci­dence of GDM could have a sub­stan­tial im­pact on costs and med­i­cal in­fras­truc­ture needs and has the po­ten­tial to “med­i­calize” preg­nan­cies pre­vi­ous­ly cat­e­go­rized as nor­mal. A re­cent fol­low-‍up study of women par­tic­i­pat­ing in a blind­ed study of preg­nan­cy OGTTs found that 11 years after their preg­nan­cies, women who would have been di­ag­nosed with GDM by the one-‍step ap­proach, as com­pared with those with­out, were at 3.4-fold high­er risk of de­vel­op­ing predi­a­betes and type 2 di­a­betes and had chil­dren with a high­er risk of obe­si­ty and in­creased body fat, sug­gest­ing that the larg­er group of women iden­tified by the one-‍step ap­proach would benefit from in­creased screen­ing for di­a­betes and predi­a­betes that would ac­com­pa­ny a his­to­ry of GDM (76). Nev­er­the­less, the ADA rec­om­mends these di­ag­nos­tic cri­te­ria with the in­tent of op­ti­miz­ing ges­ta­tional out­comes be­cause these cri­te­ria were the only ones based on preg­nan­cy out­comes rather than end points such as pre­diction of sub­se­quent ma­ter­nal di­a­betes.

The ex­pect­ed benefits to the off­spring are in­ferred from in­ter­ven­tion tri­als that fo­cused on women with lower lev­els of hy­per­glycemia than iden­tified using older GDM di­ag­nos­tic cri­te­ria. Those tri­als found mod­est benefits in­clud­ing re­duced rates of large-for-ges­ta­tional-age births and preeclamp­sia (77,78). It is im­por­tant to note that 80–90% of women being treat­ed for mild GDM in these two ran­domized con­trolled tri­als could be man­aged with lifestyle ther­a­py alone. The OGTT glu­cose cut­offs in these two tri­als over­lapped with the thresh­olds rec­om­mend­ed by the IADPSG, and in one trial (78), the 2-h PG thresh­old (140 mg/dL [7.8 mmol/‍L]) was lower than the cut­off rec­om­mend­ed by the IADPSG (153 mg/dL [8.5 mmol/‍L]). No ran­domized con­trolled tri­als of iden­tifying and treat­ing GDM using the IADPSG cri­te­ria ver­sus older cri­te­ria have been pub­lished to date. Data are also lack­ing on how the treat­ment of lower lev­els of hy­per­glycemia af­fects a moth­er’s fu­ture risk for the de­vel­op­ment of type 2 di­a­betes and her off­spring’s risk for obe­si­ty, di­a­betes, and other metabol­ic dis­or­ders. Ad­di­tion­al well-‍de­signed clin­i­cal stud­ies are need­ed to de­ter­mine the op­ti­mal in­ten­si­ty of mon­i­tor­ing and treat­ment of women with GDM di­ag­nosed by the one-‍step strat­e­gy (79,80).

xxxxx

5.3.3.0 Two-‍Step Strat­e­gy

In 2013, the Na­tion­al In­sti­tutes of Health (NIH) con­vened a con­sen­sus de­vel­op­ment con­fer­ence to con­sid­er di­ag­nos­tic cri­te­ria for di­ag­nos­ing GDM (81). The 15-‍mem­ber panel had repre­sentatives from obstetrics/‍gynecology, ma­ter­nal-‍fetal medicine, pe­di­atrics, di­a­betes re­search, bio­statis­tics, and other re­lat­ed fields. The panel rec­om­mend­ed a two-‍step ap­proach to screen­ing that used a 1-h 50-g glu­cose load test (GLT) fol­lowed by a 3-h 100-g OGTT for those who screened pos­i­tive. The Amer­i­can Col­lege of Ob­ste­tri­cians and Gy­ne­col­o­gists (ACOG) rec­om­mends any of the com­monly used thresh­olds of 130, 135, or 140 mg/dL for the 1-h 50-g GLT (82). A sys­tematic re­view for the U.S. Pre­ven­tive Ser­vices Task Force com­pared GLT cut-‍offs of 130 mg/dL (7.2 mmol/‍L) and 140 mg/dL (7.8 mmol/‍L) (83). The high­er cut­off yield­ed sen­si­tiv­i­ty of 70–88% and specificity of 69–89%, while the lower cut­off was 88–99% sen­si­tive and 66– 77% specific. Data re­gard­ing a cut­off of 135 mg/dL are lim­it­ed. As for other screen­ing tests, choice of a cut­off is based upon the trade-‍off be­tween sen­si­tiv­i­ty and specificity. The use of A1C at 24–28 weeks of ges­ta­tion as a screen­ing test for GDM does not func­tion as well as the GLT (84).

Key fac­tors cited by the NIH panel in their de­ci­sion-‍mak­ing pro­cess were the lack of clin­i­cal trial data demon­strat­ing the benefits of the one-‍step strat­e­gy and the po­ten­tial neg­a­tive conse­quences of iden­tifying a large group of women with GDM, in­clud­ing med­i­calization of preg­nan­cy with in­creased health care uti­liza­tion and costs. More­over, screen­ing with a 50-g GLT does not re­quire fast­ing and is there­fore eas­i­er to ac­com­plish for many women. Treat­ment of high­er-‍thresh­old ma­ter­nal hy­per­glycemia, as iden­tified by the two-‍step ap­proach, re­duces rates of neona­tal macro­so­mia, large-for-ges­ta­tional-age births (85), and shoul­der dys­to­cia, with­out in­creas­ing small-for-ges­ta­tional-age births. ACOG cur­rently sup­ports the two-‍step ap­proach but notes that one el­e­vat­ed value, as op­posed to two, may be used for the di­ag­no­sis of GDM (82). If this ap­proach is im­ple­ment­ed, the in­ci­dence of GDM by the two-‍step strat­e­gy will like­ly in­crease marked­ly. ACOG rec­om­mends ei­ther of two sets of di­ag­nos­tic thresh­olds for the 3-h 100-g OGTT (86,87). Each is based on dif­ferent math­e­mat­i­cal con­ver­sions of the orig­i­nal rec­om­mend­ed thresh­olds, which used whole blood and nonen­zy­mat­ic meth­ods for glu­cose de­ter­mi­na­tion. A sec­ondary anal­y­sis of data from a ran­domized clin­i­cal trial of iden­tification and treat­ment of mild GDM (88) demon­strat­ed that treat­ment was sim­i­larly beneficial in pa­tients meet­ing only the lower thresh­olds (86) and in those meet­ing only the high­er thresh­olds (87). If the two-‍step ap­proach is used, it would ap­pear ad­van­ta­geous to use the lower di­ag­nos­tic thresh­olds as shown in step 2 in Table 2.6.

xxxxx

5.3.4.0 Fu­ture Con­sid­er­a­tions

The conflict­ing rec­om­men­da­tions from ex­pert groups un­der­score the fact that there are data to sup­port each strat­e­gy. A cost-‍benefit es­ti­ma­tion com­par­ing the two strate­gies con­clud­ed that the one-‍step ap­proach is cost-‍ef­fec­tive only if pa­tients with GDM re­ceive postde­liv­ery coun­sel­ing and care to pre­vent type 2 di­a­betes (89). The de­ci­sion of which strat­e­gy to im­ple­ment must there­fore be made based on the rel­a­tive val­ues placed on fac­tors that have yet to be mea­sured (e.g., will­ing­ness to change prac­tice based on cor­re­la­tion stud­ies rather than in­ter­ven­tion trial re­sults, avail­able in­fras­truc­ture, and im­por­tance of cost con­sid­er­a­tions).

As the IADPSG cri­te­ria (“one-‍step strat­e­gy”) have been adopt­ed in­ter­na­tion­al­ly, fur­ther ev­i­dence has emerged to sup­port im­proved preg­nan­cy out­comes with cost sav­ings (90) and may be the pre­ferred ap­proach. Data com­par­ing pop­u­la­tion-‍wide out­comes with one-‍step ver­sus two-‍step ap­proaches have been in­con­sis­tent to date (91,92). In ad­di­tion, preg­nan­cies com­pli­cat­ed by GDM per the IADPSG cri­te­ria, but not rec­og­nized as such, have com­pa­ra­ble out­comes to preg­nan­cies di­ag­nosed as GDM by the more strin­gent two-‍step cri­te­ria (93,94). There re­mains strong con­sen­sus that es­tab­lish­ing a uni­form ap­proach to di­ag­nos­ing GDM will benefit pa­tients, care­givers, and pol­i­cy mak­ers. Longer-‍term out­come stud­ies are cur­rently un­der­way.

xxxxx

6.0.0.0 CYS­TIC FI­BRO­SIS–RE­LAT­ED DI­A­BETES

Rec­om­men­da­tions

2.19 An­nu­al screen­ing for cys­tic fibro­sis–re­lat­ed di­a­betes with an oral glu­cose tol­er­ance test should begin by age 10 years in all pa­tients with cys­tic fibro­sis not pre­vi­ous­ly di­ag­nosed with cys­tic fibro­sis–re­lat­ed di­a­betes. B

2.20 A1C is not rec­om­mend­ed as a screen­ing test for cys­tic fibro­sis– re­lat­ed di­a­betes. B

2.21 Pa­tients with cys­tic fibro­sis– re­lat­ed di­a­betes should be treat­ed with in­sulin to at­tain in­di­vid­u­al­ized glycemic goals. A

2.22 Be­gin­ning 5 years after the di­ag­no­sis of cys­tic fibro­sis–re­lat­ed di­a­betes, an­nu­al mon­i­tor­ing for com­pli­ca­tions of di­a­betes is rec­om­mend­ed. E

Cys­tic fibro­sis–re­lat­ed di­a­betes (CFRD) is the most com­mon co­mor­bid­i­ty in peo­ple with cys­tic fibro­sis, oc­cur­ring in about 20% of ado­les­cents and 40–50% of adults (95). Di­a­betes in this pop­u­la­tion, com­pared with in­di­vid­u­als with type 1 or type 2 di­a­betes, is as­so­ci­at­ed with worse nu­tri­tion­al sta­tus, more se­vere inflam­ma­to­ry lung dis­ease, and greater mor­tal­i­ty. In­sulin insufficien­cy is the pri­ma­ry de­fect in CFRD. Ge­net­i­cal­ly de­ter­mined β-cell func­tion and in­sulin re­sis­tance as­so­ci­at­ed with in­fec­tion and inflam­ma­tion may also con­tribute to the de­vel­op­ment of CFRD. Milder abnor­malities of glu­cose tol­er­ance are even more com­mon and occur at ear­li­er ages than CFRD. Whether in­di­vid­u­als with IGT should be treat­ed with in­sulin re­place­ment has not cur­rently been de­ter­mined. Al­though screen­ing for di­a­betes be­fore the age of 10 years can iden­tify risk for pro­gres­sion to CFRD in those with abnor­mal glu­cose tol­er­ance, no benefit has been es­tab­lished with re­spect to weight, height, BMI, or lung func­tion. Con­tin­u­ous glu­cose mon­i­tor­ing or HOMA of β-cell func­tion (96) may be more sen­si­tive than OGTT to de­tect risk for pro­gres­sion to CFRD; how­ev­er, ev­i­dence link­ing these re­sults to long-‍term out­comes is lack­ing, and these tests are not rec­om­mend­ed for screen­ing (97).

CFRD mor­tal­i­ty has significant­ly de­creased over time, and the gap in mor­tal­i­ty be­tween cys­tic fibro­sis pa­tients with and with­out di­a­betes has con­sid­er­ably nar­rowed (98). There are lim­it­ed clin­i­cal trial dataon ther­a­py for CFRD. The largest study com­pared three reg­i­mens: pre­meal in­sulin as­part, repaglin­ide, or oral place­bo in cys­tic fibro­sis pa­tients with di­a­betes or abnor­mal glu­cose tol­er­ance. Par­tic­i­pants all had weight loss in the year pre­ced­ing treat­ment; how­ev­er, in the in­sulin-‍treat­ed group, this pat­tern was re­versed, and pa­tients gained 0.39 (± 0.21) BMI units (P = 0.02). The repaglin­ide-‍treat­ed group had ini­tial weight gain, but this was not sus­tained by 6 months. The place­bo group con­tin­ued to lose weight (99). In­sulin re­mains the most wide­ly used ther­a­py for CFRD (100).

Ad­di­tion­al re­sources for the clin­i­cal man­age­ment of CFRD can be found in the po­si­tion state­ment “Clin­i­cal Care Guide­lines for Cys­tic Fibro­sis2Re­lat­ed Di­a­betes: A Po­si­tion State­ment of the Amer­i­can Di­a­betes As­so­ci­a­tion and a Clin­i­cal Prac­tice Guide­line of the Cys­tic Fibro­sis Foun­da­tion, En­dorsed by the Pe­di­atric En­docrine So­ci­ety” (101) and in the In­ter­na­tion­al So­ci­ety for Pe­di­atric and Ado­les­cent Di­a­betes’s 2014 clin­i­cal prac­tice con­sen­sus guide­lines (102).

xxxxx

7.0.0.0 POST­TRANS­PLAN­TA­TION DI­A­BETES MEL­LI­TUS

Rec­om­men­da­tions

2.23 Pa­tients should be screened after organ trans­plan­ta­tion for hy­per­glycemia, with a for­mal di­ag­no­sis of posttrans­plan­ta­tion di­a­betes mel­li­tus being best made once a pa­tient is sta­ble on an im­muno­sup­pres­sive reg­i­men and in the ab­sence of an acute in­fec­tion. E

2.24 The oral glu­cose tol­er­ance test is the pre­ferred test to make a di­ag­no­sis of posttrans­plan­ta­tion di­a­betes mel­li­tus. B

2.25 Im­muno­sup­pres­sive reg­i­mens shown to pro­vide the best out­comes for pa­tient and graft sur­vival should be used, irre­spective of posttrans­plan­ta­tion di­a­betes mel­li­tus risk. E

Sev­er­al terms are used in the lit­er­a­ture to de­scribe the pres­ence of di­a­betes fol­low­ing organ trans­plan­ta­tion. “New-‍onset di­a­betes after trans­plan­ta­tion” (NODAT) is one such des­ig­na­tion that de­scribes in­di­vid­u­als who de­vel­op new-‍onset di­a­betes fol­low­ing trans­plant. NODAT ex­cludes pa­tients with pretrans­plant di­a­betes that was undi­ag­nosed as well as posttrans­plant hy­per­glycemia that re­solves by the time of dis­charge (103). An­oth­er term, “posttrans­plan­ta­tion di­a­betes mel­li­tus” (PTDM) (103,104), de­scribes the pres­ence of di­a­betes in the posttrans­plant set­ting irre­spective of the tim­ing of di­a­betes onset.

Hy­per­glycemia is very com­mon dur­ing the early posttrans­plant pe­ri­od, with ˜90% of kid­ney al­lo­graft re­cip­i­ents ex­hib­iting hy­per­glycemia in the first few weeks fol­low­ing trans­plant (103-106). In most cases, such stress-‍ or steroidin­duced hy­per­glycemia re­solves by the time of dis­charge (106,107). Al­though the use of im­muno­sup­pres­sive ther­a­pies is a major con­trib­u­tor to the de­vel­op­ment of PTDM, the risks of trans­plant re­jec­tion out­weigh the risks of PTDM and the role of the di­a­betes care pro­vider is to treat hy­per­glycemia ap­pro­pri­ately re­gard­less of the type of im­muno­sup­pres­sion (103). Risk fac­tors for PTDM in­clude both gen­er­al di­a­betes risks (such as age, fam­i­ly his­to­ry of di­a­betes, etc.) as well as trans­plant-‍specific fac­tors, such as use of im­muno­sup­pres­sant agents (108). Whe­re­as posttrans­plan­ta­tion hy­per­glycemia is an im­por­tant risk fac­tor for sub­se­quent PTDM, a for­mal di­ag­no­sis of PTDM is op­ti­mally made once the pa­tient is sta­ble on main­te­nance im­muno­sup­pres­sion and in the ab­sence of acute in­fec­tion (106-108). The OGTT is con­sid­ered the gold stan­dard test for the di­ag­no­sis of PTDM (103,104,109, 110). How­ev­er, screen­ing pa­tients using fast­ing glu­cose and/‍or A1C can iden­tify high-‍risk pa­tients re­quir­ing fur­ther as­sess­ment and may re­duce the num­ber of over­all OGTTs re­quired.

Few ran­domized con­trolled stud­ies have re­port­ed on the short-‍ and long-‍term use of antihy­per­glycemic agents in the set­ting of PTDM (108,111,112). Most stud­ies have re­port­ed that trans­plant pa­tients with hy­per­glycemia and PTDM after trans­plan­ta­tion have high­er rates of re­jec­tion, in­fec­tion, and re­hos­pi­tal­iza­tion (106,108,113).

In­sulin ther­a­py is the agent of choice for the man­age­ment of hy­per­glycemia and di­a­betes in the hos­pi­tal set­ting. After dis­charge, pa­tients with pre­ex­ist­ing di­a­betes could go back on their pretrans­plant reg­i­men if they were in good con­trol be­fore trans­plan­ta­tion. Those with pre­vi­ous­ly poor con­trol or with per­sis­tent hy­per­glycemia should con­tin­ue in­sulin with fre­quent home self-‍mon­i­tor­ing of blood glu­cose to de­ter­mine when in­sulin dose re­duc­tions may be need­ed and when it may be ap­pro­pri­ate to switch to nonin­sulin agents.

No stud­ies to date have es­tab­lished which nonin­sulin agents are safest or most effica­cious in PTDM. The choice of agent is usu­al­ly made based on the side ef­fect profile of the med­i­ca­tion and pos­si­ble in­ter­ac­tions with the pa­tient’s im­muno­sup­pres­sion reg­i­men (108). Drug dose ad­just­ments may be re­quired be­cause of de­creases in the glomeru­lar filtra­tion rate, a rel­a­tively com­mon com­pli­ca­tion in trans­plant pa­tients. A small short-‍term pilot study re­port­ed that met­formin was safe to use in renal trans­plant re­cip­i­ents (114), but its safe­ty has not been de­ter­mined in other types of organ trans­plant. Thi­a­zo­lidine­diones have been used suc­cess­ful­ly in pa­tients with liver and kid­ney trans­plants, but side ef­fects in­clude fluid re­ten­tion, heart fail­ure, and os­teope­nia (115,116). Dipep­tidyl pep­ti­dase 4 in­hibitors do not in­ter­act with im­muno­sup­pres­sant drugs and have demon­strat­ed safe­ty in small clin­i­cal tri­als (117,118). Well-‍de­signed in­ter­ven­tion tri­als ex­am­in­ing the efficacy and safe­ty of these and other antihy­per­glycemic agents in pa­tients with PTDM are need­ed.

xxxxx

8.0.0.0 MONO­GENIC DI­A­BETES SYN­DROMES

8.1.0.0 Rec­om­men­da­tions

Rec­om­men­da­tions

2.26 All chil­dren di­ag­nosed with di­a­betes in the first 6 months of life should have im­me­di­ate ge­net­ic test­ing for neona­tal di­a­betes. A

2.27 Chil­dren and adults, di­ag­nosed in early adult­hood, who have di­a­betes not char­ac­ter­is­tic of type 1 or type 2 di­a­betes that oc­curs in suc­ces­sive gen­er­a­tions (sug­gestive of an au­to­so­mal dom­i­nant pat­tern of in­her­i­tance) should have ge­net­ic test­ing for ma­tu­ri­ty-‍onset di­a­betes of the young. A

2.28 In both in­stances, con­sul­ta­tion with a cen­ter spe­cial­iz­ing in di­a­betes ge­net­ics is rec­om­mend­ed to un­der­stand the significance of these mu­ta­tions and how best to ap­proach fur­ther eval­u­a­tion, treat­ment, and ge­net­ic coun­sel­ing. E

Mono­genic de­fects that cause β-cell dysfunc­tion, such as neona­tal di­a­betes and MODY, repre­sent a small frac­tion of pa­tients with di­a­betes (<5%). Table 2.7 de­scribes the most com­mon caus­es of mono­genic di­a­betes. For a com­pre­hen­sive list of caus­es, see Ge­net­ic Di­ag­no­sis of En­docrine Dis­or­ders (119).

Table 2.7 - Most com­mon caus­es of mono­genic di­a­betes (119)

xxxxx

8.2.0.0 Neona­tal Di­a­betes

Di­a­betes oc­cur­ring under 6 months of age is termed “neona­tal” or “con­gen­i­tal” di­a­betes, and about 80–85% of cases can be found to have an un­der­ly­ing mono­genic cause (120). Neona­tal di­a­betes oc­curs much less often after 6 months of age, where­as au­toim­mune type 1 di­a­betes rarely oc­curs be­fore 6 months of age. Neona­tal di­a­betes can ei­ther be tran­sient or per­ma­nent. Tran­sient di­a­betes is most often due to over­ex­pres­sion of genes on chro­mo­some 6q24, is recur­rent in about half of cases, and may be treat­able with med­i­ca­tions other than in­sulin. Per­ma­nent neona­tal di­a­betes is most com­monly due to au­to­so­mal dom­i­nant mu­ta­tions in the genes en­cod­ing the Kir6.2 sub­unit (KCNJ11) and SUR1 sub­unit (ABCC8) of the β-cell KATP chan­nel. Cor­rect di­ag­no­sis has crit­i­cal im­pli­ca­tions be­cause most pa­tients with KATP-‍re­lat­ed neona­tal di­a­betes will ex­hib­it im­proved glycemic con­trol when treat­ed with high-‍dose oral sul­fony­lureas in­stead of in­sulin. In­sulin gene (INS) mu­ta­tions are the sec­ond most com­mon cause of per­ma­nent neona­tal di­a­betes, and, while in­ten­sive in­sulin man­age­ment is cur­rently the pre­ferred treat­ment strat­e­gy, there are im­por­tant ge­net­ic con­sid­er­a­tions, as most of the mu­ta­tions that cause di­a­betes are dom­i­nantly in­her­it­ed.

xxxxx

8.3.0.0 Maturity-‍Onset Di­a­betes of the Young

MODY is fre­quent­ly char­ac­ter­ized by onset of hy­per­glycemia at an early age (clas­sically be­fore age 25 years, al­though di­ag­no­sis may occur at older ages). MODY is char­ac­ter­ized by im­paired in­sulin se­cre­tion with min­i­mal or no de­fects in in­sulin ac­tion (in the ab­sence of co­ex­is­tent obe­si­ty). It is in­her­it­ed in an au­to­so­mal dom­i­nant pat­tern with abnor­malities in at least 13 genes on dif­ferent chro­mo­somes iden­tified to date. The most com­monly re­port­ed forms are GCK-‍MODY (MODY2), HNF1A-‍MODY (MODY3), and HNF4A-‍MODY (MODY1).

Clin­i­cally, pa­tients with GCK-‍MODY ex­hib­it mild, sta­ble, fast­ing hy­per­glycemia and do not re­quire antihy­per­glycemic ther­a­py ex­cept some­times dur­ing preg­nan­cy. Pa­tients with HNF1A- or HNF4A-‍MODY usu­al­ly re­spond well to low doses of sul­fony­lureas, which are con­sid­ered first-‍line ther­a­py. Mu­ta­tions or dele­tions in HNF1B are as­so­ci­at­ed with renal cysts and uter­ine mal­for­ma­tions (renal cysts and di­a­betes [RCAD] syn­drome). Other ex­treme­ly rare forms of MODY have been re­port­ed to in­volve other tran­scrip­tion fac­tor genes in­clud­ing PDX1 (IPF1) and NEU­ROD1.

xxxxx

8.4.0.0 Di­ag­no­sis of Mono­genic Di­a­betes

A di­ag­no­sis of one of the three most com­mon forms of MODY, in­clud­ing GCK-‍MODY, HNF1A-‍MODY, and HNF4A-‍MODY, al­lows for more cost-‍ef­fec­tive ther­a­py (no ther­a­py for GCK-‍MODY; sul­fony­lureas as first-‍line ther­a­py for HNF1A-‍MODY and HNF4A-‍MODY). Ad­di­tion­ally, di­ag­no­sis can lead to iden­tification of other af­fect­ed fam­i­ly mem­bers.

A di­ag­no­sis of MODY should be con­sid­ered in in­di­vid­u­als who have atyp­i­cal di­a­betes and mul­ti­ple fam­i­ly mem­bers with di­a­betes not char­ac­ter­is­tic of type 1 or type 2 di­a­betes, al­though ad­mit­ted­ly “atyp­i­cal di­a­betes” is be­com­ing in­creas­ingly difficult to pre­cise­ly define in the ab­sence of a defini­tive set of tests for ei­ther type of di­a­betes. In most cases, the pres­ence of au­toan­ti­bod­ies for type 1 di­a­betes pre­cludes fur­ther test­ing for mono­genic di­a­betes, but the pres­ence of au­toan­ti­bod­ies in pa­tients with mono­genic di­a­betes has been re­port­ed (121). In­di­vid­u­als in whom mono­genic di­a­betes is sus­pect­ed should be re­ferred to a spe­cial­ist for fur­ther eval­u­a­tion if avail­able, and con­sul­ta­tion is avail­able from sev­er­al cen­ters. Read­i­ly avail­able com­mer­cial ge­net­ic test­ing fol­low­ing the cri­te­ria list­ed below now en­ables a cost-‍ef­fec­tive (122), often cost-‍sav­ing, ge­net­ic di­ag­no­sis that is in­creas­ingly sup­ported by health in­sur­ance. A biomark­er screen­ing path­way such as the com­bi­na­tion of uri­nary C-‍pep­tide/ cre­a­ti­nine ratio and an­ti­body screen­ing may aid in de­ter­min­ing who should get ge­net­ic test­ing for MODY (123). It is crit­i­cal to cor­rect­ly di­ag­nose one of the mono­genic forms of di­a­betes be­cause these pa­tients may be incor­rect­ly di­ag­nosed with type 1 or type 2 di­a­betes, lead­ing to subop­ti­mal, even po­ten­tially harm­ful, treat­ment reg­i­mens and de­lays in di­ag­nos­ing other fam­i­ly mem­bers (124). The cor­rect di­ag­no­sis is es­pe­cial­ly crit­i­cal for those with GCK-‍MODY mu­ta­tions where mul­ti­ple stud­ies have shown that no com­pli­ca­tions ensue in the ab­sence of glu­cose-‍lowering ther­a­py (125). Ge­net­ic coun­sel­ing is rec­om­mend­ed to en­sure that af­fect­ed in­di­vid­u­als un­der­stand the pat­terns of in­her­i­tance and the im­por­tance of a cor­rect di­ag­no­sis.

The di­ag­no­sis of mono­genic di­a­betes should be con­sid­ered in chil­dren and adults di­ag­nosed with di­a­betes in early adult­hood with the fol­low­ing find­ings:

Di­a­betes di­ag­nosed with­in the first 6 months of life (with oc­ca­sion­al cases pre­senting later, most­ly INS and ABCC8 mu­ta­tions) (120,126)

Di­a­betes with­out typ­i­cal fea­tures of type 1 or type 2 di­a­betes (neg­a­tive di­a­betes-‍as­so­ci­at­ed au­toan­ti­bod­ies, nonobese, lack­ing other metabol­ic fea­tures es­pe­cial­ly with strong fam­i­ly his­to­ry of di­a­betes)

Sta­ble, mild fast­ing hy­per­glycemia (100–150 mg/dL [5.5–8.5 mmol/‍L]), sta­ble A1C be­tween 5.6 and 7.6% (be­tween 38 and 60 mmol/‍mol), es­pe­cial­ly if nonobese

xxxxx

9.0.0.0 Ref­er­ences

  1. Amer­i­can Di­a­betes As­so­ci­a­tion. Di­ag­no­sis and clas­sification of di­a­betes mel­li­tus. Di­a­betes Care 2014;37(Suppl. 1):S81–S90
  2. Dabe­lea D, Rew­ers A, Staf­ford JM, et al.; SEARCH for Di­a­betes in Youth Study Group. Trends in the preva­lence of ke­toaci­do­sis at di­a­betes di­ag­no­sis: the SEARCH for Di­a­betes in Youth Study. Pe­di­atrics 2014;133:e938–e945
  3. New­ton CA, Raskin P. Di­a­bet­ic ke­toaci­do­sis in type 1 and type 2 di­a­betes mel­li­tus: clin­i­cal and bio­chem­i­cal dif­ferences. Arch In­tern Med 2004; 164:1925–1931
  4. Skyler JS, Bakris GL, Boni­fa­cio E, et al. Dif­fer­entiationof di­a­betes by patho­phys­i­ol­o­gy, nat­u­ral his­to­ry, and prog­no­sis. Di­a­betes 2017;66:241– 255
  5. Insel RA, Dunne JL, Atkin­son MA, et al. Stag­ing presymp­tomat­ic type 1 di­a­betes: a sci­en­tific state­ment of JDRF, the En­docrine So­ci­ety, and the Amer­i­can Di­a­betes As­so­ci­a­tion. Di­a­betes Care 2015;38:1964–1974
  6. In­ter­na­tion­al Ex­pert Com­mit­tee. In­ter­na­tion­al Ex­pert Com­mit­tee re­port on the role of the A1C assay in the di­ag­no­sis of di­a­betes. Di­a­betes Care 2009;32:1327–1334
  7. Knowl­er WC, Bar­rett-‍Con­nor E, Fowler SE, et al.; Di­a­betes Pre­ven­tion Pro­gram Re­search Group. Re­duc­tion in the in­ci­dence of type 2 di­a­betes with lifestyle in­ter­ven­tion or met­formin. N Engl J Med 2002;346:393–403
  8. Tuomile­hto J, Lind­stro¨m J, Eriks­son JG, et al.; Finnish Di­a­betes Pre­ven­tion Study Group. Pre­ven­tion of type 2 di­a­betes mel­li­tus by changes in lifestyle among sub­jects with im­paired glu­cose tol­er­ance. N Engl J Med 2001;344: 1343–1350
  9. Mei­jnikman AS, De Block CEM, Dirinck E, et al. Not per­form­ing an OGTT re­sults in significant underdi­ag­no­sis of (pre)di­a­betes in a high risk adult Cau­casian pop­u­la­tion. Int J Obes 2017;41: 1615–1620
  10. Cowie CC, Rust KF, Byrd-‍Holt DD, et al. Preva­lence of di­a­betes and high risk for di­a­betes using A1C cri­te­ria in the U.S. pop­u­la­tion in 1988–2006. Di­a­betes Care 2010;33:562–568
  11. Eck­hardt BJ, Holz­man RS, Kwan CK, Bagh­da­di J, Aberg JA. Gly­cat­ed hemoglobin A1c as screen­ing for di­a­betes mel­li­tus in HIV-‍in­fect­ed in­di­vid­u­als. AIDS Pa­tient Care STDS 2012;26:197–201
  12. Kim PS, Woods C, Geor­goff P, et al. A1C un­der­es­ti­mates glycemia in HIV in­fec­tion. Di­a­betes Care 2009;32:1591–1593
  13. Ar­sla­ni­an S, Bacha F, Grey M, Mar­cus MD, White NH, Zeitler P. Eval­u­a­tion and man­age­ment of youth-‍onset type 2 di­a­betes: a po­si­tion state­ment by the Amer­i­can Di­a­betes As­so­ci­a­tion. Di­a­betes Care 2018;41:2648–2668
  14. Lacy ME, Welle­nius GA, Sum­n­er AE, Cor­rea A, Car­nethon MR, Liem RI, et al. As­so­ci­a­tion of sick­le cell trait with hemoglobin A1c in African Amer­i­cans. JAMA 2017;317:507–515
  15. Wheel­er E, Leong A, Liu C-T, et al.; EPIC-‍CVD Con­sor­tium; EPIC-‍InterAct Con­sor­tium; Life­lines Co­hort Study. Im­pact of com­mon ge­net­ic de­ter­mi­nants of hemoglobin A1c on type 2 di­a­betes risk and di­ag­no­sis in an­ces­tral­ly di­verse pop­u­la­tions: a transeth­nic genome-‍wide metaanal­y­sis. PLoS Med 2017;14:e1002383
  16. Ziemer DC, Kolm P, Wein­traub WS, et al. Glu­cose-‍inde­pen­dent, black-‍white dif­ferences in hemoglobin A1c lev­els: a cross-sec­tional anal­y­sis of 2 stud­ies. Ann In­tern Med 2010;152:770–777
  17. Kumar PR, Bhansali A, Raviki­ran M, et al. Util­i­ty of gly­cat­ed hemoglobin in di­ag­nos­ing type 2 di­a­betes mel­li­tus: a com­mu­ni­ty-‍based study. J Clin En­docrinol Metab 2010;95:2832– 2835
  18. Her­man WH. Are there clin­i­cal im­pli­ca­tions of racial dif­ferences in HbA1c? Yes, to not con­sid­er can do great harm! Di­a­betes Care 2016;39: 1458–1461
  19. Her­man WH, Ma Y, Uwaifo G, et al.; Di­a­betes Pre­ven­tion Pro­gram Re­search Group. Dif­fer­ences in A1C by race and eth­nicity among pa­tients with im­paired glu­cose tol­er­ance in the Di­a­betes Pre­ven­tion Pro­gram. Di­a­betes Care 2007;30: 2453–2457
  20. Bergen­stal RM, Gal RL, Con­nor CG, et al.; T1D Ex­change Racial Dif­fer­ences Study Group. Racial dif­ferences in the re­la­tion­ship of glu­cose con­cen­tra­tions and hemoglobin A1c lev­els. Ann In­tern Med 2017;167:95–102
  21. Selvin E, Steffes MW, Bal­lan­tyne CM, Hoogeveen RC, Core­sh J, Bran­cati FL. Racial dif­ferencesin glycemicmark­ers: across-sec­tional anal­y­sis of com­mu­ni­ty-‍based data. Ann In­tern Med 2011;154:303–309
  22. Her­man WH, Dun­gan KM, Wolf­fen­but­tel BHR, et al. Racial and eth­nic dif­ferences in mean plas­ma glu­cose, hemoglobin A1c, and 1,5-‍an­hy­droglu­ci­tol in over 2000 pa­tients with type 2 di­a­betes. J Clin En­docrinol Metab 2009; 94:1689–1694
  23. Selvin E, Rawl­ings AM, Bergen­stal RM, Core­sh J, Bran­cati FL. No racial dif­ferences in the as­so­ci­a­tion of gly­cat­ed hemoglobin with kid­ney dis­ease and car­dio­vas­cu­lar out­comes. Di­a­betes Care 2013;36:2995–3001
  24. Selvin E. Are there clin­i­cal im­pli­ca­tions of racial dif­ferences in HbA1c? A dif­ference, to be a dif­ference, must make a dif­ference. Di­a­betes Care 2016;39:1462–1467
  25. Pa­ter­son AD. HbA1c for type 2 di­a­betes di­ag­no­sis in Africans and African Amer­i­cans: per­sonalized medicine NOW! PLoS Med 2017; 14:e1002384
  26. Cap­pelli­ni MD, Fiorel­li G. Glu­cose-‍6-‍phos­phate de­hy­dro­ge­nase deficien­cy. Lancet 2008;371:64–74
  27. Pico´n MJ, Murri M, Mun~oz A, Ferna´ndez-‍Garc´ıa JC, Gomez-‍Huelgas R, Tina­hones FJ. Hemoglobin A1c ver­sus oral glu­cose tol­er­ance test in post­par­tum di­a­betes screen­ing. Di­a­betes Care 2012;35:1648–1653
  28. Go¨bl CS, Bozkurt L, Yarragu­di R, Tura A, Paci­ni G, Kautzky-‍Willer A. Is early post­par­tum HbA1c an ap­pro­pri­ate risk pre­dic­tor after preg­nan­cy with ges­ta­tional di­a­betes mel­li­tus? Acta Di­a­betol 2014;51:715–722
  29. Megia A, Na¨f S, Her­ranz L, et al. The use­ful­ness of HbA1c in post­par­tum reclas­sification of ges­ta­tional di­a­betes. BJOG 2012;119:891–894
  30. Welsh KJ, Kirk­man MS, Sacks DB. Role of gly­cat­ed pro­teins in the di­ag­no­sis and man­age­ment of di­a­betes: re­search gaps and fu­ture di­rec­tions. Di­a­betes Care 2016;39:1299–1306
  31. Kim C, Bullard KM, Her­man WH, Beck­les GL. As­so­ci­a­tion be­tween iron deficien­cy and A1C lev­els among adults with­out di­a­betes in the Na­tion­al Health and Nu­tri­tion Ex­am­i­na­tion Sur­vey, 1999-2006. Di­a­betes Care 2010;33:780–785
  32. Selvin E, Wang D, Mat­sushi­ta K, Grams ME, Core­sh J. Prog­nos­tic im­pli­ca­tions of singlesam­ple confirma­to­ry test­ing for undi­ag­nosed di­a­betes: a prospec­tive co­hort study. Ann In­tern Med 2018;169:156–164
  33. Dabe­lea D, Mayer-‍Davis EJ, Say­dah S, et al.; SEARCH for Di­a­betes in Youth Study. Preva­lence of type 1 and type 2 di­a­betes among chil­dren and ado­les­cents from 2001 to 2009. JAMA 2014;311: 1778–1786
  34. Ziegler AG, Rew­ers M, Simell O, et al. Se­ro­con­ver­sion to mul­ti­ple islet au­toan­ti­bod­ies and risk of pro­gres­sion to di­a­betes in chil­dren. JAMA 2013;309:2473–2479
  35. Sosenko JM, Skyler JS, Palmer JP, et al.; Type 1 Di­a­betes Tri­al­Net Study Group; Di­a­betes Pre­ven­tion Trial-‍Type 1 Study Group. The pre­diction of type 1 di­a­betes by mul­ti­ple autoan­ti­body lev­els and their in­cor­po­ra­tion into an autoan­ti­body risk score in rel­a­tives of type 1 di­a­bet­ic pa­tients. Di­a­betes Care 2013;36:2615–2620
  36. Steck AK, Vehik K, Boni­fa­cio E, et al.; TEDDY Study Group. Pre­dic­tors of pro­gres­sion from the ap­pearance of islet au­toan­ti­bod­ies to early child­hood di­a­betes: The En­vi­ron­men­tal De­ter­mi­nants of Di­a­betes in the Young (TEDDY). Di­a­betes Care 2015;38:808–813
  37. Orban T, Sosenko JM, Cuth­bert­son D, et al.; Di­a­betes Pre­ven­tion Trial-‍Type 1 Study Group. Pan­cre­at­ic islet au­toan­ti­bod­ies as pre­dic­tors of type 1 di­a­betes in the Di­a­betes Pre­ven­tion Trial–Type 1. Di­a­betes Care 2009;32:2269– 2274
  38. Genuth S, Al­ber­ti KG, Ben­nett P, et al.; Ex­pert Com­mit­tee on the Di­ag­no­sis and Clas­sification of Di­a­betes Mel­li­tus. Fol­low-‍up re­port on the di­ag­no­sis of di­a­betes mel­li­tus. Di­a­betes Care 2003; 26:3160–3167
  39. Amer­i­can Di­a­betes As­so­ci­a­tion. Di­ag­no­sis and clas­sification of di­a­betes mel­li­tus. Di­a­betes Care 2011;34(Suppl. 1):S62–S69
  40. Ex­pert Com­mit­tee on the Di­ag­no­sis and Clas­sification of Di­a­betes Mel­li­tus. Re­port of the Ex­pert Com­mit­tee on the Di­ag­no­sis and Clas­sification of Di­a­betes Mel­li­tus. Di­a­betes Care 1997;20:1183–1197
  41. Zhang X, Gregg EW, Williamson DF, et al. A1C level and fu­ture risk of di­a­betes: a sys­tematic re­view. Di­a­betes Care 2010;33:1665–1673
  42. Selvin E, Steffes MW, Zhu H, et al. Gly­cat­ed hemoglobin, di­a­betes, and car­dio­vas­cu­lar risk in nondi­a­bet­ic adults. N Engl J Med 2010;362: 800–811
  43. Ack­er­mann RT, Cheng YJ, Williamson DF, Gregg EW. Iden­ti­fy­ing adults at high risk for di­a­betes and car­dio­vas­cu­lar dis­ease using hemoglobin A1c Na­tion­al Health and Nu­tri­tion Ex­am­i­na­tion Sur­vey 2005-2006. Am J Prev Med 2011;40:11–17

  44. Di­a­betes Pre­ven­tion Pro­gram Re­search Group. HbA1c as a pre­dic­tor of di­a­betes and as an out­come in the Di­a­betes Pre­ven­tion Pro­gram: a ran­domized clin­i­cal trial. Di­a­betes Care 2015;38:51–58
  45. Umpier­rez G, Ko­ry­tkows­ki M. Di­a­bet­ic emer­gen­cies - ke­toaci­do­sis, hy­per­gly­caemic hy­per­os­mo­lar state and hy­po­gly­caemia. Nat Rev En­docrinol 2016;12:222–232
  46. Fa­di­ni GP, Bono­ra BM, Avog­a­ro A. SGLT2 in­hibitors and di­a­bet­ic ke­toaci­do­sis: data from the FDA Ad­verse Event Re­porting Sys­tem. Di­a­betologia 2017;60:1385–1389
  47. Griffin SJ, Borch-‍Johnsen K, Davies MJ, et al. Ef­fect of early in­ten­sive mul­ti­fac­to­ri­al ther­a­py on 5-year car­dio­vas­cu­lar out­comes in in­di­vid­u­als with type 2 di­a­betes de­tected by screen­ing (AD­DI­TION-‍Eu­rope): a cluster-ran­domised trial. Lancet 2011;378:156–167
  48. Her­man WH, Ye W, Griffin SJ, et al. Early de­tec­tion and treat­ment of type 2 di­a­betes re­duce car­dio­vas­cu­lar mor­bid­i­ty and mor­tal­i­ty: a sim­u­la­tion of the re­sults of the Anglo-‍Dan­ish-‍Dutch Study of In­ten­sive Treat­ment in Peo­ple with Screen-‍De­tect­ed Di­a­betes in Pri­ma­ry Care (AD­DI­TION-‍Eu­rope). Di­a­betes Care 2015;38: 1449–1455
  49. Kahn R, Alperin P, Eddy D, et al. Age at ini­ti­a­tion and fre­quen­cy of screen­ing to de­tect type 2 di­a­betes: a cost-‍ef­fec­tiveness anal­y­sis. Lancet 2010;375:1365–1374
  50. Arane­ta MRG, Kanaya A, Fu­ji­mo­to W, et al. Op­ti­mum BMI cut-‍points to screen Asian Amer­i­cans for type 2 di­a­betes: The UCSD Fil­ipino Health Study and the North Ko­ha­la Study [Ab­stract]. Di­a­betes 2014;63(Suppl. 1):A20
  51. Hsu WC, Arane­ta MRG, Kanaya AM, Chi­ang JL, Fu­ji­mo­to W. BMI cut points to iden­tify at-‍risk Asian Amer­i­cans for type 2 di­a­betes screen­ing. Di­a­betes Care 2015;38:150–158
  52. WHO Ex­pert Con­sul­ta­tion. Ap­pro­pri­ate body-‍mass index for Asian pop­u­la­tions and its im­pli­ca­tions for pol­i­cy and in­ter­ven­tion strate­gies. Lancet 2004;363:157–163
  53. Menke A, Casagrande S, Geiss L, Cowie CC. Preva­lence of and trends in di­a­betes among adults in the Unit­ed States, 1988-2012. JAMA 2015;314:1021–1029
  54. Cen­ters for Dis­ease Con­trol and Pre­ven­tion. Na­tion­al di­a­betes statis­tics re­port: es­ti­mates of di­a­betes and its bur­den in the Unit­ed States, 2017 [In­ternet]. Avail­able from https://www.cdc.gov/di­a­betes/data/statis­tics/statis­tics-re­port.html. Ac­cessed 20 Septem­ber 2018
  55. Chiu M, Austin PC, Manuel DG, Shah BR, Tu JV. De­riv­ing eth­nic-‍specific BMI cut­off points for as­sess­ing di­a­betes risk. Di­a­betes Care 2011;34: 1741–1748
  56. Er­ick­son SC, Le L, Za­kharyan A, et al. New-‍onset treat­ment-‍de­pen­dent di­a­betes mel­li­tus and hy­per­lipi­demia as­so­ci­at­ed with atyp­i­cal an­tipsy­chot­ic use in older adults with­out schizophre­nia or bipo­lar dis­or­der. J Am Geri­atr Soc 2012;60:474–479
  57. John­son SL, Tabaei BP, Her­man WH. The efficacy and cost of al­ter­na­tive strate­gies for sys­tematic screen­ing for type 2 di­a­betes in the U.S. pop­u­la­tion 45–74 years of age. Di­a­betes Care 2005;28:307–311
  58. Tabaei BP, Burke R, Con­stance A, et al. Com­mu­ni­ty-‍based screen­ing for di­a­betes in Michi­gan. Di­a­betes Care 2003;26:668–670
  59. Lalla E, Kun­zel C, Bur­kett S, Cheng B, Lam­ster IB. Iden­tification of unrec­og­nized di­a­betes and pre-‍di­a­betes in a den­tal set­ting. J Dent Res 2011; 90:855–860
  60. Lalla E, Cheng B, Kun­zel C, Bur­kett S, Lam­ster IB. Den­tal find­ings and iden­tification of undi­ag­nosed hy­per­glycemia. J Dent Res 2013;92:888– 892
  61. Her­man WH, Tay­lor GW, Ja­cob­son JJ, Burke R, Brown MB. Screen­ing for predi­a­betes and type 2 di­a­betes in den­tal offices. J Pub­lic Health Dent 2015;75:175–182
  62. Buse JB, Kauf­man FR, Lin­der B, Hirst K, El Ghorm­li L, Willi S; HEALTHY Study Group. Di­a­betes screen­ing with hemoglobin A1c ver­sus fast­ing plas­ma glu­cose in a multieth­nic mid­dle-‍school co­hort. Di­a­betes Care 2013;36:429–435
  63. Ka­pa­dia C, Zeitler P; Drugs and Ther­a­peu­tics Com­mit­tee of the Pe­di­atric En­docrine So­ci­ety. Hemoglobin A1c mea­surement for the di­ag­no­sis of type 2 di­a­betes in chil­dren. Int J Pe­di­atr En­docrinol 2012;2012:31
  64. Kester LM, Hey H, Han­non TS. Using hemoglobin A1c for predi­a­betes and di­a­betes di­ag­no­sis in ado­les­cents: can adult rec­om­men­da­tions be up­held for pe­di­atric use? J Ado­lesc Health 2012;50:321–323

  65. Wu E-L, Kazzi NG, Lee JM. Cost-ef­fec­tiveness of screen­ing strate­gies for iden­tifying pe­di­atric di­a­betes mel­li­tus and dys­g­lycemia. JAMA Pe­di­atr 2013;167:32–39
  66. Lawrence JM, Con­tr­eras R, Chen W, Sacks DA. Trends in the preva­lence of pre­ex­ist­ing di­a­betes and ges­ta­tional di­a­betes mel­li­tus among a racially/eth­nically di­verse pop­u­la­tion of preg­nant women, 1999–2005. Di­a­betes Care 2008;31:899–904
  67. Poltavskiy E, Kim DJ, Bang H. Com­par­i­son of screen­ing scores for di­a­betes and predi­a­betes. Di­a­betes Res Clin Pract 2016;118:146–153
  68. Hugh­es RCE, Rowan J, Willi­man J. Predi­a­betes in preg­nan­cy, can early in­ter­ven­tion im­prove out­comes? A fea­si­bil­i­ty study for a par­al­lel ran­domised clin­i­cal trial. BMJ Open 2018;8: e018493
  69. McIn­tyre HD, Sacks DA, Bar­bour LA, et al. Is­sues with the di­ag­no­sis and clas­sification of hy­per­glycemia in early preg­nan­cy. Di­a­betes Care 2016;39:53–54
  70. Noc­tor E, Crowe C, Car­mody LA, et al.; AT­LANTIC-‍DIP in­ves­ti­ga­tors. Abnor­mal glu­cose tol­er­ance post-ges­ta­tional di­a­betes mel­li­tus as defined by the In­ter­na­tion­al As­so­ci­a­tion of Di­a­betes and Preg­nan­cy Study Groups cri­te­ria. Eur J En­docrinol 2016;175:287–297
  71. Kim C, New­ton KM, Knopp RH. Ges­ta­tion­al di­a­betes and the in­ci­dence of type 2 di­a­betes: a sys­tematic re­view. Di­a­betes Care 2002;25: 1862–1868
  72. Rat­ner RE, Christophi CA, Met­zger BE, et al.; Di­a­betes Pre­ven­tion Pro­gram Re­search Group. Pre­ven­tion ofdi­a­betesinwomenwithahis­to­ry of ges­ta­tional di­a­betes: ef­fects of met­formin and lifestyle in­ter­ven­tions. J Clin En­docrinol Metab 2008;93:4774–4779
  73. Aroda VR, Christophi CA, Edel­stein SL, et al.; Di­a­betes Pre­ven­tion Pro­gram Re­search Group. The ef­fect of lifestyle in­ter­ven­tion and met­formin on pre­venting or de­lay­ing di­a­betes among women with and with­out ges­ta­tional di­a­betes: the Di­a­betes Pre­ven­tion Pro­gram Out­comes Study 10-year fol­low-‍up. J Clin En­docrinol Metab 2015;100:1646–1653
  74. Met­zger BE, Lowe LP, Dyer AR, et al.; HAPO Study Co­op­er­a­tive Re­search Group. Hy­per­glycemia and ad­verse preg­nan­cy out­comes. N Engl J Med 2008;358:1991–2002
  75. Sacks DA, Had­den DR, Maresh M, et al.; HAPO Study Co­op­er­a­tive Re­search Group. Fre­quen­cy of ges­ta­tional di­a­betes mel­li­tus at col­lab­o­rat­ing cen­ters based on IADPSG con­sen­sus panel-‍rec­om­mend­ed cri­te­ria: the Hy­per­glycemia and Ad­verse Preg­nan­cy Out­come (HAPO) Study. Di­a­betes Care 2012;35:526–528
  76. Lowe WL Jr, Scholtens DM, Lowe LP, et al.; HAPO Fol­low-‍up Study Co­op­er­a­tive Re­search Group. As­so­ci­a­tion of ges­ta­tional di­a­betes with ma­ter­nal dis­or­ders of glu­cose metabolism and child­hood adi­pos­i­ty. JAMA 2018;320:1005–016
  77. Lan­don MB, Spong CY, Thom E, et al.; Eu­nice Kennedy Shriver Na­tion­al In­sti­tute of Child Health and Human De­vel­op­ment Ma­ter­nal-‍Fetal Medicine Units Net­work. A multicen­ter, ran­domized trial of treat­ment for mild ges­ta­tional di­a­betes. N Engl J Med 2009;361:1339–1348
  78. Crowther CA, Hiller JE, Moss JR, McPhee AJ, Jef­fries WS, Robin­son JS; Aus­tralian Car­bo­hy­drate Intol­er­ance Study in Preg­nant Women (ACHOIS) Trial Group. Ef­fect of treat­ment of ges­ta­tional di­a­betes mel­li­tus on preg­nan­cy out­comes. N Engl J Med 2005; 352:2477–2486
  79. Tam WH, Ma RCW, Ozaki R, et al. In utero ex­po­sure to ma­ter­nal hy­per­glycemia in­creas­es child­hood cardiometabol­ic risk in off­spring. Di­a­betes Care 2017;40:679–686
  80. Lan­don MB, Rice MM, Varn­er MW, et al.; Eu­nice Kennedy Shriver Na­tion­al In­sti­tute of Child Health and Human De­vel­op­ment Ma­ter­nal-‍Fetal Medicine Units (MFMU) Net­work. Mild ges­ta­tional di­a­betes mel­li­tus and long-‍term child health. Di­a­betes Care 2015;38:445–452
  81. Van­dorsten JP, Dod­son WC, Es­peland MA, et al. NIH con­sen­sus de­vel­op­ment con­fer­ence: di­ag­nos­ing ges­ta­tional di­a­betes mel­li­tus. NIH Con­sens State Sci State­ments 2013;29:1–31
  82. Com­mit­tee on Prac­tice Bul­letins­dOb­stet­rics. Prac­tice Bul­letin No. 190: ges­ta­tional di­a­betes mel­li­tus. Ob­stet Gy­necol 2018;131:e49–e64
  83. Dono­van L, Hartling L, Muise M, Guthrie A, Van­der­meer B, Dry­den DM. Screen­ing tests for ges­ta­tional di­a­betes: a sys­tematic re­view for the U.S. Pre­ven­tive Ser­vices Task Force. Ann In­tern Med 2013;159:115–122
  84. Kha­lafal­lah A, Phuah E, Al-‍Barazan AM, et al. Gly­co­sy­lat­ed haemoglobin for screen­ing and di­ag­no­sis of ges­ta­tional di­a­betes mel­li­tus. BMJ Open 2016;6:e011059
  85. Hor­vath K, Koch K, Jeitler K, et al. Ef­fects of treat­ment in women with ges­ta­tional di­a­betes mel­li­tus: sys­tematic re­view and meta-‍anal­y­sis. BMJ 2010;340:c1395
  86. Car­pen­ter MW, Cous­tan DR. Cri­te­ria for screen­ing tests for ges­ta­tional di­a­betes. Am J Ob­stet Gy­necol 1982;144:768–773
  87. Na­tion­al Di­a­betes Data Group. Clas­sification and di­ag­no­sis of di­a­betes mel­li­tus and other cat­e­gories of glu­cose intol­er­ance. Di­a­betes 1979; 28:1039–1057
  88. Harp­er LM, Mele L, Lan­don MB, et al.; Eu­nice Kennedy Shriver Na­tion­al In­sti­tute of Child Health and Human De­vel­op­ment (NICHD) Ma­ter­nal-‍Fetal Medicine Units (MFMU) Net­work. Car­pen­ter-‍Cous­tan com­pared with Na­tion­al Di­a­betes Data Group cri­te­ria for di­ag­nos­ing ges­ta­tional di­a­betes. Ob­stet Gy­necol 2016;127:893–898
  89. Wern­er EF, Pet­tk­er CM, Zuck­er­wise L, et al. Screen­ing for ges­ta­tional di­a­betes mel­li­tus: are the cri­te­ria pro­posed by the In­ter­na­tion­al As­so­ci­a­tion of the Di­a­betes and Preg­nan­cy Study Groups cost-‍ef­fec­tive? Di­a­betes Care 2012;35: 529–535
  90. Duran A, Sa´enz S, Tor­re­jo´n MJ, et al. In­tro­duc­tion of IADPSG cri­te­ria for the screen­ing and di­ag­no­sis of ges­ta­tional di­a­betes mel­li­tus re­sults in im­proved preg­nan­cy out­comes at a lower cost in a large co­hort of preg­nant women: the St. Car­los Ges­ta­tion­al Di­a­betes Study. Di­a­betes Care 2014;37:2442–2450
  91. Wei Y, Yang H, Zhu W, et al. In­ter­na­tion­al As­so­ci­a­tion of Di­a­betes and Preg­nan­cy Study Group cri­te­ria is suit­able for ges­ta­tional di­a­betes mel­li­tus di­ag­no­sis: fur­ther ev­i­dence from China. Chin Med J (Engl) 2014;127:3553–3556
  92. Feld­man RK, Tieu RS, Ya­sumu­ra L. Ges­ta­tion­al di­a­betes screen­ing: the In­ter­na­tion­al As­so­ci­a­tion of the Di­a­betes and Preg­nan­cy Study Groups com­pared with Car­pen­ter-‍Cous­tan screen­ing. Ob­stet Gy­necol 2016;127:10–17
  93. Ethridge JK Jr, Cata­lano PM, Wa­ters TP. Peri­na­tal out­comes as­so­ci­at­ed with the di­ag­no­sis of ges­ta­tional di­a­betes made by the In­ter­na­tion­al As­so­ci­a­tion of the Di­a­betes and Preg­nan­cy Study Groups cri­te­ria. Ob­stet Gy­necol 2014;124: 571–578
  94. Mayo K, Melamed N, Van­den­berghe H, Berg­er H. The im­pact of adop­tion of the in­ter­na­tion­al as­so­ci­a­tion of di­a­betes in preg­nan­cy study group cri­te­ria for the screen­ing and di­ag­no­sis of ges­ta­tional di­a­betes. Am J Ob­stet Gy­necol 2015;212:224.e1–224.e9
  95. Moran A, Pil­lay K, Beck­er D, Grana­dos A, Hameed S, Ac­eri­ni CL. ISPAD Clin­i­cal Prac­tice Con­sensus Guide­lines 2018: man­age­ment of cys­tic fibro­sis-‍re­lat­ed di­a­betes in chil­dren and ado­les­cents. Pe­di­atr Di­a­betes 2018;19(Suppl. 27):64–74
  96. Main­guy C, Bel­lon G, De­laup V, et al. Sen­si­tiv­i­ty and specificity of dif­ferent meth­ods for cys­tic fibro­sis-‍re­lat­ed di­a­betes screen­ing: is the oral glu­cose tol­er­ance test still the stan­dard? J Pe­di­atr En­docrinol Metab 2017; 30:27–35
  97. Ode KL, Moran A. New in­sights into cys­tic fibro­sis-‍re­lat­ed di­a­betes in chil­dren. Lancet Di­a­betes En­docrinol 2013;1:52–58
  98. Moran A, Dunitz J, Nathan B, Saeed A, Holme B, Thomas W. Cys­tic fibro­sis–re­lat­ed di­a­betes: cur­rent trends in preva­lence, in­ci­dence, and mor­tal­i­ty. Di­a­betes Care 2009;32:1626–1631
  99. Moran A, Pekow P, Grover P, et al.; Cys­tic Fibro­sis Re­lat­ed Di­a­betes Ther­a­py Study Group. In­sulin ther­a­py to im­prove BMI in cys­tic fibro­sis– re­lat­ed di­a­betes with­out fast­ing hy­per­glycemia: re­sults of the Cys­tic Fibro­sis Re­lat­ed Di­a­betes Ther­a­py Trial. Di­a­betes Care 2009;32: 1783–1788
  100. Onady GM, Stolfi A. In­sulin and oral agents for man­ag­ing cys­tic fibro­sis–re­lat­ed di­a­betes. Cochrane Database Syst Rev 2016;4:CD004730
  101. Moran A, Brun­zell C, Cohen RC, et al.; CFRD Guide­lines Com­mit­tee. Clin­i­cal care guide­lines for cys­tic fibro­sis–re­lat­ed di­a­betes: a po­si­tion state­ment of the Amer­i­can Di­a­betes As­so­ci­a­tion and a clin­i­cal prac­tice guide­line of the Cys­tic Fibro­sis Foun­da­tion, en­dorsed by the Pe­di­atric En­docrine So­ci­ety. Di­a­betes Care 2010;33:2697–2708
  102. Moran A, Pil­lay K, Beck­er DJ, Ac­eri­ni CL; In­ter­na­tion­al So­ci­ety for Pe­di­atric and Ado­les­cent Di­a­betes. ISPAD Clin­i­cal Prac­tice Con­sensus Guide­lines 2014. Man­age­ment of cys­tic fibrosi-‍re­lat­ed di­a­betes in chil­dren and ado­les­cents. Pe­di­atr Di­a­betes 2014;15(Suppl. 20):65–76
  103. Sharif A, Heck­ing M, de Vries APJ, et al. Pro­ceed­ings from an in­ter­na­tion­al con­sen­sus meet­ing on posttrans­plan­ta­tion di­a­betes mel­li­tus: rec­om­men­da­tions and fu­ture di­rec­tions. Am J Trans­plant 2014;14:1992–2000
  104. Heck­ing M, Wer­zowa J, Haidinger M, et al. Novel views on new-‍onset di­a­betes after trans­plan­ta­tion: de­vel­op­ment, pre­ven­tion and treat­ment. Nephrol Dial Trans­plant 2013;28:550–566
  105. Ramirez SC, Maaske J, Kim Y, et al. The as­so­ci­a­tion be­tween glycemic con­trol and clin-‍ical out­comes after kid­ney trans­plan­ta­tion. En-‍docr Pract 2014;20:894–900
  106. Thomas MC, Moran J, Math­ew TH, Russ GR, Rao MM. Early peri-‍op­er­a­tive hy­per­gly­caemia and renal al­lo­graft re­jec­tion in pa­tients with­out di­a­betes. BMC Nephrol 2000;1:1
  107. Chakkera HA, Weil EJ, Cas­tro J, et al. Hy­per­glycemia dur­ing the im­me­di­ate pe­ri­od after kid­ney trans­plan­ta­tion. Clin J Am Soc Nephrol 2009;4:853–859
  108. Wal­lia A, Il­luri V, Molitch ME. Di­a­betes care after trans­plant: defini­tions, risk fac­tors, and clin­i­cal man­age­ment. Med Clin North Am 2016;100: 535–550
  109. Sharif A, Moore RH, Ba­boolal K. The use of oral glu­cose tol­er­ance tests to risk strat­i­fy for new-‍onset di­a­betes after trans­plan­ta­tion: an underdi­ag­nosed phe­nomenon. Trans­plantation 2006;82:1667–1672
  110. Heck­ing M, Kainz A, Wer­zowa J, et al. Glu­cose metabolism after renal trans­plan­ta­tion. Di­a­betes Care 2013;36:2763–2771
  111. Galin­do RJ, Fried M, Breen T, Tam­ler R. Hy­per­glycemia man­age­ment in pa­tients with posttrans­plan­ta­tion di­a­betes. En­docr Pract 2016;22:454–465
  112. Jenssen T, Hart­mann A. Emerg­ing treat­ments for post-‍trans­plan­ta­tion di­a­betes mel­li­tus. Nat Rev Nephrol 2015;11:465–477
  113. Thomas MC, Math­ew TH, Russ GR, Rao MM, Moran J. Early peri-‍op­er­a­tive gly­caemic con­trol and al­lo­graft re­jec­tion in pa­tients with di­a­betes mel­li­tus: a pilot study. Trans­plantation 2001;72:1321–1324
  114. Kuri­an B, Joshi R, Hel­muth A. Ef­fectiveness and long-‍term safe­ty of thi­a­zo­lidine­diones and met­formin in renal trans­plant re­cip­i­ents. En­docr Pract 2008;14:979–984
  115. Budde K, Neu­may­er H-H, Fritsche L, Su­low­icz W, Stom­por T, Eck­land D. The phar­ma­coki­net­ics of pi­ogli­ta­zone in pa­tients with im­paired renal func­tion. Br J Clin Phar­ma­col 2003; 55:368–374
  116. Luther P, Bald­win D Jr. Pi­ogli­ta­zone in the man­age­ment of di­a­betes mel­li­tus after trans­plan­ta­tion. Am J Trans­plant 2004;4:2135– 2138
  117. Strøm Halden TA, ° As­berg A, Vik K, Hart­mann A, Jenssen T. Short-‍term ef­fi­ca­cy and safe­ty of sitagliptin treat­ment in longterm sta­ble renal re­cip­i­ents with new-‍onset di­a­betes after trans­plan­ta­tion. Nephrol Dial Trans­plant 2014;29:926–933
  118. Lane JT, Ode­gaard DE, Haire CE, Col­lier DS, Wren­shall LE, Stevens RB. Sitagliptin ther­a­py in kid­ney trans­plant re­cip­i­ents with new-‍onset di­a­betes after trans­plan­ta­tion. Trans­plantation 2011;92:e56–e57
  119. Car­mody D, Støy J, Gree­ley SA, Bell GI, Philip­son LH. A clin­i­cal guide to mono­genic di­a­betes. In Ge­net­ic Di­ag­no­sis of En­docrine Dis­or­ders. 2nd ed. Weiss RE, Refetoff S, Eds. Philadel­phia, PA, El­se­vi­er, 2016
  120. De Fran­co E, Flana­gan SE, Houghton JAL, et al. The ef­fect of early, com­pre­hen­sive ge­nom­ic test­ing on clin­i­cal care in neona­tal di­a­betes: an in­ter­na­tion­al co­hort study. Lancet 2015;386: 957–963
  121. Ur­bano­va´ J, Rypa´ckova´ B, Procha´zkova´ Z, et al. Pos­i­tiv­i­ty for islet cell au­toan­ti­bod­ies in pa­tients with mono­genic di­a­betes is as­so­ci­at­ed with later di­a­betes onset and high­er HbA1c level. Di­a­bet Med 2014;31:466–471
  122. Nay­lor RN, John PM, Winn AN, et al. Cost-ef­fec­tiveness of MODY ge­net­ic test­ing: trans­lat­ing ge­nom­ic ad­vances into prac­ti­cal health ap­pli­ca­tions. Di­a­betes Care 2014;37: 202–209
  123. Shields BM, Shep­herd M, Hud­son M, et al.; UNIT­ED study team. Pop­u­la­tion-‍based as­sess­ment of a biomark­er-‍based screen­ing path­way to aid di­ag­no­sis of mono­genic di­a­betes in young-‍onset pa­tients. Di­a­betes Care 2017;40:1017– 1025
  124. Hat­ter­s­ley A, Bru­in­ing J, Shield J, Njol­stad P, Don­aghue KC. The di­ag­no­sis and man­age­ment of mono­genic di­a­betes in chil­dren and ado­les­cents. Pe­di­atr Di­a­betes 2009;10(Suppl. 12):33– 42
  125. Rubio-‍Cabezas O, Hat­ter­s­ley AT, Njølstad PR, et al.; In­ter­na­tion­al So­ci­ety for Pe­di­atric and Ado­les­cent Di­a­betes. ISPAD Clin­i­cal Prac­tice Con­sensus Guide­lines 2014. The di­ag­no­sis and man­age­ment of mono­genic di­a­betes in chil­dren and ado­les­cents. Pe­di­atr Di­a­betes 2014;15 (Suppl. 20):47–64
  126. Gree­ley SAW, Nay­lor RN, Philip­son LH, Bell GI. Neona­tal di­a­betes: an ex­pan­ding list of genes al­lows for im­proved di­ag­no­sis and treat­ment. Curr Diab Rep 2011;11:519–532