AIM: To explore whether it is possible to predict a @entity1 's eventual @entity6 phenotype using characteristics at initial presentation, we reassessed 111 young @entity1 on average 7.8    4.2 (2.2-19.7) [mean    SD (range)] years after diagnosis. METHODS: Medical records at diagnosis for 111 @entity1 , aged 0-17, were compared with their follow-up characteristics including stimulated @entity2690 (CP) and islet @entity2621 ( @entity2621 ). RESULTS: Initially, 18 @entity1 were @entity28 ; 9 displayed other @entity2175 (T2DM) features ( @entity3610 , @entity3594 , diagnosed T2DM); the remaining 84 had a classic type 1 @entity6 (T1DM) presentation. At follow-up, 83 @entity1 (75%) with no measured CP were classified as T1DM; 17 (15%) were CP+ and @entity2621 - and thus considered T2DM. Eleven @entity1 with both T1DM and T2DM features were classified as having mixed @entity6 phenotype ( @entity709 ). One-fifth (22 subjects) changed presumed phenotype at follow-up. In multivariable models, T1DM @entity1 were younger at diagnosis, had higher initial @entity413 values, were more likely to have experienced @entity1270 , and less likely to be @entity28 or of African American ethnicity. CONCLUSIONS/INTERPRETATION: Ten percent of subjects had @entity709 and 15% had T2DM at    8 years' duration. Although no onset feature was completely reliable, @entity1270 and @entity4854 were more likely to predict T1DM; @entity28 and African American ethnicity made T2DM more likely. At diagnosis, features of T2DM in addition to @entity28 were strongly predictive of eventual T2DM phenotype. Given the significant percentage who changed or had mixed phenotype, careful tracking of all young @entity1 with @entity6 is essential to correctly determine eventual disease type.

Onset features and subsequent clinical evolution of childhood XXXX over several years.

@entity1 :: ('9606', 'Species') :: ['patients', 'people', 'child'] @entity2175 :: ('MESH:D003924', 'Disease') :: ['type 2 diabetes'] @entity3610 :: ('MESH:D011085', 'Disease') :: ['polycystic ovary syndrome'] @entity28 :: ('MESH:D009765', 'Disease') :: ['obese', 'obesity'] @entity6 :: ('MESH:D003920', 'Disease') :: ['diabetes'] @entity2621 :: ('MESH:D050031', 'Disease') :: ['autoantibodies', 'AB'] @entity3594 :: ('MESH:D000052', 'Disease') :: ['acanthosis'] @entity2690 :: ('3630', 'Gene') :: ['C-peptide'] @entity709 :: ('MESH:D007645', 'Disease') :: ['MDM'] @entity1270 :: ('MESH:D007662', 'Disease') :: ['ketoacidosis'] @entity4854 :: ('MESH:D006943', 'Disease') :: ['hyperglycemia'] @entity413 :: ('MESH:D005947', 'Chemical') :: ['glucose']
@entity6 :: (MESH:D003920,Disease) :: ['diabetes']
