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Dataset Information

Clinical predictors of length of stay in adults with congenital heart disease.


ABSTRACT:

Objective

Length of stay (LOS) is a major driver of inpatient care costs. To date, few studies have investigated risk factors associated with increased LOS in patients with adult congenital heart disease (ACHD). In the present work, we sought to address this knowledge gap.

Methods

We conducted an analysis of the State Inpatient Databases from Arkansas, California, Florida, Hawaii, Nebraska and New York. We analysed data on admissions in patients with ACHD and constructed a series of hierarchical regression models to identify the clinical factors having the greatest effects on LOS.

Results

We identified 99 103 inpatient hospitalisations meeting criteria for inclusion. Diagnoses associated with the longest LOS were septicaemia (LOS=14.2 days in patients atrial septal de

SUBMITTER: Cedars A 

PROVIDER: S-EPMC5594917 | biostudies-literature | 2017 Aug

REPOSITORIES: biostudies-literature