An empirical approach for life expectancy estimation based on survival analysis among a post-acute myocardial infarction population.

ABSTRACT:

Background

Practical communication of prognosis is pertinent in the clinical setting. Survival analysis techniques are standardly used in cohort studies; however, their results are not straightforward for interpretation as compared to the graspable notion of life expectancy (LE). The present study empirically examines the relationship between Cox regression coefficients (HRs), which reflect the relative risk of the investigated risk factors for mortality, and years of potential life lost (YPLL) values after acute myocardial infarction (AMI).

Methods

This retrospective population-based study included patients aged 40-80 years, who survived AMI hospitalization from January 1, 2002, to October 25, 2017. A survival analysis approach assessed relationships between variables and t

SUBMITTER: Betesh-Abay B 

PROVIDER: S-EPMC11063430 | biostudies-literature | 2024 Apr

REPOSITORIES: biostudies-literature