Factors influencing the return to the professional activity in patients hospitalized for myocardial infarction: a

Katarzyna Paluch1, Maciej Janiszewski2, Michalina Ciurla1

  • 1Medical University of Warsaw, Warsaw, Poland (Department of Cardiology, Hypertension and Internal Medicine).

Medycyna Pracy
|December 18, 2024
PubMed

Insights

Most patients after myocardial infarction (MI) in the comprehensive care after myocardial infarction (CCMI) program return to work. Older age and female sex predict longer sick leave, while male sex predicts return to work.

Area of Science:

  • Cardiology
  • Occupational Health
  • Rehabilitation Medicine

Background:

  • Cardiovascular diseases, particularly myocardial infarction (MI), represent a significant healthcare challenge.
  • Understanding factors influencing return to professional activity post-MI is crucial.
  • The comprehensive care after myocardial infarction (CCMI) model's impact on return to work is understudied.

Purpose of the Study:

  • To evaluate factors influencing return to work after MI.
  • To assess the duration of sick leave in patients undergoing the CCMI program.
  • To identify predictors of professional reintegration post-MI in a Polish cardiology center.

Main Methods:

  • Retrospective analysis of 105 patients included in the CCMI program.
  • All patients received percutaneous coronary intervention and cardiac rehabilitation.
  • Data collected from medical records and insurer information.

Main Results:

  • 88.6% of patients returned to work.
  • Male sex was a positive predictor for returning to work.
  • Older age and female sex were predictors of prolonged sick leave.
  • Rehabilitation completion, anthropometric, biochemical, and echocardiographic factors did not influence return to work.

Conclusions:

  • A high proportion of MI patients in the CCMI program successfully return to work.
  • Older age and female sex are key factors associated with extended sick leave post-MI.
  • Further research may explore targeted interventions for specific patient groups to optimize return to work.
Abstract