Toolkit to Compute Time-Based Elixhauser Comorbidity Indices and Extension to Common Data Models.

ABSTRACT:

Objective

The time-dependent study of comorbidities provides insight into disease progression and trajectory. We hypothesize that understanding longitudinal disease characteristics can lead to more timely intervention and improve clinical outcomes. As a first step, we developed an efficient and easy-to-install toolkit, the Time-based Elixhauser Comorbidity Index (TECI), which pre-calculates time-based Elixhauser comorbidities and can be extended to common data models (CDMs).

Methods

A Structured Query Language (SQL)-based toolkit, TECI, was built to pre-calculate time-specific Elixhauser comorbidity indices using data from a clinical data repository (CDR). Then it was extended to the Informatics for Integrating Biology and the Bedside (I2B2) and Observational Medical Outcome

SUBMITTER: Syed S 

PROVIDER: S-EPMC7438698 | biostudies-literature | 2020 Jul

REPOSITORIES: biostudies-literature