Identification of atypical pediatric diabetes mellitus cases using electronic medical records
Authors' conclusion
In sum, we identified 1%-6.6% of atypical diabetes cases in a pediatric diabetes population with high racial and ethnic diversity using systematic review of the EMR. Better identification of these cases using unbiased approaches may advance precision diabetes.
Study context
- Population
- Youth with diabetes in a large pediatric hospital in the USA
- Exposure
- Two strategies to identify atypical pediatric DM: questionnaire ruling out typical DM vs electronic queries for three atypical phenotypes
- Strategy 1n = 100
- Outcome
- Cases of atypical pediatric diabetes ascertained using EMR
Methodological detailssingle-centre, electronic medical records (EMR)-based case ascertainment
- Single-centre
- EMR-based case ascertainment
Main finding
As reported in the abstract
Atypical DM cases identified
Strategy 1
6%
6 of 100
- Strategy 2: unknown diabetes type, of 6676 patients with diabetes
- n=68 (1%)
- Strategy 2: T2D <10 years old, of 1142 patients with T2D
- n=64 (6.6%)
- Strategy 2: AbNegT1D, of 680 patients with new onset T1D
- n=38 (5.6%)
Observational data: associations, not effects.
Further findings
Characteristics of identified cases
- Strategy 1: mean diagnosis age; men; Non-Hispanic white (NHW); Hispanic
- 11±2.6 years; 16.6%; 33%; 66.6%
- Unknown type: mean diagnosis age; men; NHW; Hispanic; African American (AA); other
- 12.6±3.3 years; 32.8%; 23.8%; 47.6%; 25.4%; 3.2%
- T2D <10 years: mean diagnosis age; men; NHW; Hispanic; AA; other
- 8.6±1.6 years; 20.3%; 4.7%; 65.6%; 28.1%; 1.6%
- AbNegT1D: mean diagnosis age; men; NHW; Hispanic; AA; other
- 11.3±3.8 years; 57.9%; 50%; 19.4%; 22.3%; 8.3%
Original publication
Identification of atypical pediatric diabetes mellitus cases using electronic medical records. BMJ Open Diabetes Res Care. Published 7 November 2024. doi:10.
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