A nationwide causal mediation analysis of survival following ST-elevation myocardial infarction

Tatendashe Bernadette Dondo1, Marlous Hall1, Theresa Munyombwe1

  • 1Clinical and Population Sciences Department, Leeds Institute of Cardiovascular and Metabolic Medicine, University of Leeds, Leeds, UK.

Insights

Improvements in survival following ST-elevation myocardial infarction (STEMI) were driven by increased use of primary percutaneous coronary intervention (PCI) and P2Y12 inhibitors. Primary PCI significantly contributed to better STEMI survival rates at both 6 months and 1 year.

Area of Science:

  • Cardiology
  • Public Health
  • Clinical Research

Background:

  • International studies indicate a decrease in mortality rates for ST-elevation myocardial infarction (STEMI).
  • The specific factors contributing to improved STEMI survival, such as changes in patient demographics and treatment patterns, remain unclear.

Purpose of the Study:

  • To investigate the extent to which temporal changes in patient characteristics and treatment utilization explain the observed improvements in STEMI survival.
  • To quantify the relative contributions of specific treatments to enhanced STEMI survival over time.

Main Methods:

  • A cohort study utilizing national registry data from the Myocardial Ischaemia National Audit Project (MINAP) in England and Wales (2004-2013).
  • Analysis included 232,353 STEMI survivors, employing flexible parametric survival modeling and causal mediation analysis.
  • The study assessed the impact of temporal shifts in patient factors and treatments on STEMI survival at 6 months and 1 year.

Main Results:

  • Unadjusted survival at 6 months and 1 year improved annually by 0.9% and 1.0%, respectively.
  • Increased uptake of primary percutaneous coronary intervention (PCI) and P2Y12 inhibitor prescriptions were significantly linked to improved 1-year survival.
  • Primary PCI accounted for 13.2% of 1-year survival improvements, while P2Y12 inhibitors contributed 5.3% at 6 months.

Conclusions:

  • Survival improvements in ST-elevation myocardial infarction (STEMI) in England and Wales between 2004 and 2013 were significantly attributed to the increased adoption of primary PCI.
  • The enhanced use of P2Y12 inhibitors also played a role in improving STEMI survival at 6 months.
  • Primary PCI was a key driver for improved STEMI survival at both 6 months and 1 year during the study period.
Abstract

Related Concept Videos

Acute Coronary Syndrome I: Introduction01:30

Acute Coronary Syndrome I: Introduction

Acute Coronary Syndrome (ACS) encompasses a spectrum of heart conditions caused by sudden obstruction of coronary arteries, typically resulting from the rupture of an atherosclerotic plaque and subsequent thrombus (blood clot) formation. This obstruction can lead to partial or complete blockage of blood flow, causing varying degrees of myocardial ischemia or infarction.ACS includes the following clinical entities:Unstable Angina (UA)Non-ST-Elevation Myocardial Infarction (NSTEMI)ST-Elevation...
665
Assumptions of Survival Analysis01:15

Assumptions of Survival Analysis

Survival models analyze the time until one or more events occur, such as death in biological organisms or failure in mechanical systems. These models are widely used across fields like medicine, biology, engineering, and public health to study time-to-event phenomena. To ensure accurate results, survival analysis relies on key assumptions and careful study design.
356
Acute Coronary Syndrome III: Diagnostic Studies01:30

Acute Coronary Syndrome III: Diagnostic Studies

Diagnosing acute coronary syndrome or ACS begins with a thorough patient history. Notable symptoms include central, crushing chest pain radiating to the left arm, neck, jaw, or back, along with shortness of breath, sweating (diaphoresis), nausea, vomiting, dizziness, and palpitations.It is crucial to note any history of cardiac illnesses and assess risk factors, including age, gender, smoking, hypertension, diabetes, hyperlipidemia, and a sedentary lifestyle.During physical examination, vital...
176
Comparing the Survival Analysis of Two or More Groups01:20

Comparing the Survival Analysis of Two or More Groups

Survival analysis is a cornerstone of medical research, used to evaluate the time until an event of interest occurs, such as death, disease recurrence, or recovery. Unlike standard statistical methods, survival analysis is particularly adept at handling censored data—instances where the event has not occurred for some participants by the end of the study or remains unobserved. To address these unique challenges, specialized techniques like the Kaplan-Meier estimator, log-rank test, and...
514
Censoring Survival Data01:09

Censoring Survival Data

Survival analysis is a statistical method used to analyze time-to-event data, often employed in fields such as medicine, engineering, and social sciences. One of the key challenges in survival analysis is dealing with incomplete data, a phenomenon known as "censoring." Censoring occurs when the event of interest (such as death, relapse, or system failure) has not occurred for some individuals by the end of the study period or is otherwise unobservable, and it might have many different...
486
Introduction To Survival Analysis01:18

Introduction To Survival Analysis

Survival analysis is a statistical method used to study time-to-event data, where the "event" might represent outcomes like death, disease relapse, system failure, or recovery. A unique feature of survival data is censoring, which occurs when the event of interest has not been observed for some individuals during the study period. This requires specialized techniques to handle incomplete data effectively.
The primary goal of survival analysis is to estimate survival time—the time...
686