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Dataset Information

Identification of atypical pediatric diabetes mellitus cases using electronic medical records.


ABSTRACT:

Introduction

There are no established methods to identify children with atypical diabetes for further study. We aimed to develop strategies to systematically ascertain cases of atypical pediatric diabetes using electronic medical records (EMR).

Research design and methods

We tested two strategies in a large pediatric hospital in the USA. Strategy 1: we designed a questionnaire to rule out typical diabetes and applied it to the EMR of 100 youth with diabetes. Strategy 2: we built three electronic queries to generate reports of three atypical pediatric diabetes phenotypes: unknown type, type 2 diabetes (T2D) diagnosed <10 years old and autoantibody-negative type 1 diabetes (AbNegT1D).

Results

Strategy 1 identified six cases (6%) of atypical diabetes (mean diagnosis age=

SUBMITTER: Astudillo MF 

PROVIDER: S-EPMC11551976 | biostudies-literature | 2024 Nov

REPOSITORIES: biostudies-literature