Adherence to quality indicators for ST-elevation myocardial infarction and its relation to mortality: a hospital

Sara Bosmans1, Yasmine Sluyts1, Jonas Lysens de Oliveira E Silva-Van Acker1

  • 1Department of Cardiology, University Hospital Antwerp, Wilrijkstraat 10, 2650 Edegem, Belgium.

Insights

Adherence to quality indicators for ST-elevation myocardial infarction (STEMI) networks impacts patient outcomes. Improving diagnosis-to-balloon time is crucial for reducing in-hospital mortality in STEMI care.

Area of Science:

  • Cardiology
  • Healthcare Quality Improvement
  • Public Health

Background:

  • ST-elevation myocardial infarction (STEMI) requires timely and coordinated care.
  • Established quality indicators (QIs) aim to optimize STEMI treatment pathways.
  • Assessing network-level adherence to QIs is essential for evaluating care quality.

Purpose of the Study:

  • To evaluate adherence to key quality indicators for STEMI care within hospital networks.
  • To determine the relationship between QI adherence and in-hospital mortality in STEMI patients.

Main Methods:

  • Retrospective analysis of 7774 STEMI patients from 32 Belgian STEMI networks (2014-2018).
  • Assessed adherence to five QIs: primary PCI use, diagnosis-to-balloon (DiaTB) time, door-to-balloon (DoTB) time, P2Y12 inhibitor and statin prescription, and a composite QI score.
  • Correlated QI scores with in-hospital mortality, adjusting for baseline risk (TIMI score).

Main Results:

  • The median composite QI score was 6.5 out of 10.
  • Significant adherence gaps were observed in timely reperfusion: DiaTB <90 min achieved in 68%, DoTB <60 min in 67%.
  • Higher QI adherence was noted in networks managing more high-risk STEMI patients.
  • A significant inverse correlation was found between composite QI score and in-hospital mortality (r=-0.45, P=0.013).
  • Prolonged DiaTB emerged as the most significant independent predictor of adverse outcomes.

Conclusions:

  • Network-level adherence to STEMI quality indicators varies, particularly concerning time-dependent metrics.
  • Diagnosis-to-balloon time is a critical, prognostic quality indicator in STEMI networks.
  • Continuous assessment of quality of care across the entire STEMI network is vital for improving patient outcomes.
Abstract

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