Precision diagnostic approach to predict 5-year risk for microvascular complications in type 1 diabetes.

ABSTRACT:

Background

Individuals with long standing diabetes duration can experience damage to small microvascular blood vessels leading to diabetes complications (DCs) and increased mortality. Precision diagnostic tailors a diagnosis to an individual by using biomedical information. Blood small molecule profiling coupled with machine learning (ML) can facilitate the goals of precision diagnostics, including earlier diagnosis and individualized risk scoring.

Methods

Using data in a cohort of 537 adults with type 1 diabetes (T1D) we predicted five-year progression to DCs. Prediction models were computed first with clinical risk factors at baseline and then with clinical risk factors and blood-derived molecular data at baseline. Progression of diabetic kidney disease and diabetic retino

SUBMITTER: Al-Sari N 

PROVIDER: S-EPMC9092516 | biostudies-literature | 2022 Jun

REPOSITORIES: biostudies-literature