Adjusting for Congenital Heart Surgery Risk Using Administrative Data.

ABSTRACT:

Background

Congenital heart surgery (CHS) encompasses a heterogeneous population of patients and surgeries. Risk standardization models that adjust for patient and procedural characteristics can allow for collective study of these disparate patients and procedures.

Objectives

We sought to develop a risk-adjustment model for CHS using the newly developed Risk Stratification for Congenital Heart Surgery for ICD-10 Administrative Data (RACHS-2) methodology.

Methods

Within the Kids' Inpatient Database 2019, we identified all CHSs that could be assigned a RACHS-2 score. Hierarchical logistic regression (clustered on hospital) was used to identify patient and procedural characteristics associated with in-hospital mortality. Model validation was performed using data from 24

SUBMITTER: Jayaram N 

PROVIDER: S-EPMC11557220 | biostudies-literature | 2023 Dec

REPOSITORIES: biostudies-literature