Development and validation of algorithms to classify type 1 and 2 diabetes according to age at diagnosis using electronic health records.

ABSTRACT:

Background

Validated algorithms to classify type 1 and 2 diabetes (T1D, T2D) are mostly limited to white pediatric populations. We conducted a large study in Hong Kong among children and adults with diabetes to develop and validate algorithms using electronic health records (EHRs) to classify diabetes type against clinical assessment as the reference standard, and to evaluate performance by age at diagnosis.

Methods

We included all people with diabetes (age at diagnosis 1.5-100 years during 2002-15) in the Hong Kong Diabetes Register and randomized them to derivation and validation cohorts. We developed candidate algorithms to identify diabetes types using encounter codes, prescriptions, and combinations of these criteria ("combination algorithms"). We identified 3 algorithm

SUBMITTER: Ke C 

PROVIDER: S-EPMC7038546 | biostudies-literature | 2020 Feb

REPOSITORIES: biostudies-literature