Risk-Adjusted In-Hospital Mortality Models for Congestive Heart Failure and Acute Myocardial Infarction: Value of Clinical Laboratory Data and Race/Ethnicity.

ABSTRACT:

Objective

To examine the impact of key laboratory and race/ethnicity data on the prediction of in-hospital mortality for congestive heart failure (CHF) and acute myocardial infarction (AMI).

Data sources

Hawaii adult hospitalizations database between 2009 and 2011, linked to laboratory database.

Study design

Cross-sectional design was employed to develop risk-adjusted in-hospital mortality models among patients with CHF (n = 5,718) and AMI (n = 5,703).

Data collection/extraction methods

Results of 25 selected laboratory tests were requested from hospitals and laboratories across the state and mapped according to Logical Observation Identifiers Names and Codes standards. The laboratory data were linked to administrative data for each discharge of interest from a

SUBMITTER: Lim E 

PROVIDER: S-EPMC4545336 | biostudies-literature | 2015 Aug

REPOSITORIES: biostudies-literature