Long-term prognosis and risk heterogeneity of heart failure complicating acute myocardial infarction

Leonardo P de Carvalho1, Fei Gao2, Qifeng Chen3

  • 1National University Heart Centre, National University of Singapore, Singapore, Singapore; Albert Einstein Hospital, Sao Paulo, Brazil.

Insights

The Killip classification effectively predicts 12-year mortality in acute heart failure patients after myocardial infarction. Higher Killip classes indicate increased mortality risk, but class IV shows lower long-term risk than class III when early deaths are excluded.

Area of Science:

  • Cardiology
  • Clinical Medicine

Background:

  • The Killip classification, established for acute myocardial infarction (AMI) short-term mortality, needed long-term prognostic validation.
  • Acute heart failure is a critical complication of AMI, impacting patient outcomes.

Purpose of the Study:

  • To evaluate the long-term (12-year) prognostic value of the Killip classification in unselected AMI patients.
  • To analyze the relationship between Killip class and mortality over a decade post-hospitalization.

Main Methods:

  • Retrospective cohort study of 15,235 patients hospitalized for AMI between 2000-2005.
  • Vital status ascertained through national death records up to March 1, 2012.
  • Statistical analysis using adjusted hazard ratios (HR) for mortality across Killip classes, including landmark analysis.

Main Results:

  • A clear gradient of increasing 12-year mortality risk was observed with higher Killip classes (I-IV).
  • Killip class IV showed a significantly higher adjusted HR for 12-year mortality (2.80) compared to class I.
  • Landmark analysis revealed that Killip class IV patients had lower adjusted long-term mortality than class III, particularly in younger patients.

Conclusions:

  • The Killip classification remains a robust predictor of long-term mortality following AMI.
  • The study highlights the importance of early management for Killip class IV patients due to potential for improved long-term survival.
  • Risk stratification using Killip class can guide clinical decisions and resource allocation for acute heart failure management.

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