Publications by authors named "Anita L Lynam"
Background: There is much interest in the use of prognostic and diagnostic prediction models in all areas of clinical medicine. The use of machine learning to improve prognostic and diagnostic accuracy in this area has been increasing at the expense of classic statistical models. Previous studies have compared performance between these two approaches but their findings are inconsistent and many have limitations.
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- The study investigates late-onset type 1 diabetes, focusing on the prevalence and characteristics of individuals diagnosed after age 30 who show severe insulin deficiency as measured by C-peptide levels.
- Out of 583 participants with insulin-treated diabetes, 21% were classified as having type 1 diabetes; notably, 38% did not start insulin at diagnosis and many initially misidentified as type 2 diabetes.
- Rapid insulin requirement was a strong indicator of severe insulin deficiency, with similarities found between late-onset and early-onset type 1 diabetes, although those diagnosed later had slightly lower genetic risk scores.