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Dataset Information

Lace Index: Predict the High-Risk of 30-Days Readmission of Patients With Acute Myocardial Infarction: National Health Insurance Claims Data 2011-2020.


ABSTRACT:

Background

Readmission following acute myocardial infarction (AMI) poses significant challenges to health systems and patient outcomes. The LACE index, a composite of Length of stay, Acuity of admission, Comorbidities, and Emergency department visits, is widely used for readmission prediction. However, its performance in large-scale, real-world Korean cohorts remains understudied.

Objective

This study aimed to validate the predictive performance of the LACE index for 30-day readmissions in AMI patients using a nationally representative Korean cohort.

Methods

This retrospective cohort study analyzed data from the Korean National Health Insurance Service Sample (NHISS) database from 2011 to 2020. A total of 609,640 adult patients hospitalized for AMI were included. The

SUBMITTER: Rajaguru V 

PROVIDER: S-EPMC12482977 | biostudies-literature | 2025 Oct

REPOSITORIES: biostudies-literature