| Literature DB >> 19487644 |
Jay M Sosenko1, Jerry P Palmer, Lisa Rafkin-Mervis, Jeffrey P Krischer, David Cuthbertson, Jeffery Mahon, Carla J Greenbaum, Catherine C Cowie, Jay S Skyler.
Abstract
OBJECTIVE: We studied the incidence of dysglycemia and its prediction of the development of type 1 diabetes in islet cell autoantibody (ICA)-positive individuals. In addition, we assessed whether dysglycemia was sustained. RESEARCH DESIGN AND METHODS: Participants (n = 515) in the Diabetes Prevention Trial-Type 1 (DPT-1) with normal glucose tolerance who underwent periodic oral glucose tolerance tests (OGTTs) were followed for incident dysglycemia (impaired fasting glucose, impaired glucose tolerance, and/or high glucose levels at intermediate time points of OGTTs). Incident dysglycemia at the 6-month visit was assessed for type 1 diabetes prediction.Entities:
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Year: 2009 PMID: 19487644 PMCID: PMC2732147 DOI: 10.2337/dc08-2140
Source DB: PubMed Journal: Diabetes Care ISSN: 0149-5992 Impact factor: 19.112
Distribution of glucose tolerance abnormalities for the first occurrence of dysglycemia among participants
| All | <13 years | ≥13 years | |
|---|---|---|---|
| IFG alone | 50 (16.1) | 27 (13.6) | 23 (20.7) |
| INDET alone | 51 (16.5) | 33 (16.6) | 18 (16.2) |
| IGT alone | 133 (42.9) | 87 (43.7) | 46 (41.4) |
| IFG and INDET | 7 (1.9) | 5 (2.5) | 2 (1.7) |
| IFG and IGT | 9 (2.9) | 8 (4.0) | 1 (0.9) |
| IGT and INDET | 49 (16.1) | 35 (17.6) | 14 (12.6) |
| IFG, IGT, and INDET | 11 (3.5) | 4 (2.0) | 7 (6.3) |
| Total | 310 | 199 | 111 |
Data are n (%).
Prediction of type 2 diabetes according to the presence of incident dysglycemia at the 6-month visit
| Age | Type 1 diabetes/total | HR (95% CI) | ||
|---|---|---|---|---|
| Dysglycemic | Normal | |||
| All | 484 | 53/97 | 78/387 | 5.2 (3.7–7.5) |
| <13 years | 312 | 44/67 | 60/245 | 5.4 (3.6–8.1) |
| ≥13 years | 172 | 9/30 | 18/142 | 4.1 (1.8–9.3) |
*With an adjustment for age.
†P < 0.001;
‡P < 0.01.
Figure 1Shown are cumulative incidence curves for the subsequent development of type 1 diabetes according to whether dysglycemia occurred at the 6-month visit. The actual proportion of those developing type 1 diabetes is shown for each curve. The cumulative incidence was significantly greater when dysglycemia occurred at the 6-month visit.
Figure 2Shown are cumulative incidence curves for the development of type 1 diabetes according to whether participants were aged <13 or ≥13 years among those who were dysglycemic at the 6-month visit. The cumulative incidence was significantly higher in the younger age-group, with an estimate of 94% by 5 years in those children.