Predicting Current Glycated Hemoglobin Values in Adults: Development of an Algorithm From the Electronic Health Record.

ABSTRACT:

Background

Electronic, personalized clinical decision support tools to optimize glycated hemoglobin (HbA_1c) screening are lacking. Current screening guidelines are based on simple, categorical rules developed for populations of patients. Although personalized diabetes risk calculators have been created, none are designed to predict current glycemic status using structured data commonly available in electronic health records (EHRs).

Objective

The goal of this project was to create a mathematical equation for predicting the probability of current elevations in HbA_1c (≥5.7%) among patients with no history of hyperglycemia using readily available variables that will allow integration with EHR systems.

Methods

The reduced model was compared head-to-he

SUBMITTER: Wells BJ 

PROVIDER: S-EPMC6231807 | biostudies-literature | 2018 Oct

REPOSITORIES: biostudies-literature