Systematic review and meta-analysis of diagnostic test accuracy of ST-segment elevation for acute coronary occlusion

José Nunes de Alencar Neto1, Matheus Kiszka Scheffer1, Bruno Pinotti Correia1

  • 1Cardiology, Instituto Dante Pazzanese de Cardiologia, São Paulo, Brazil.

PubMed

Insights

ST-segment elevation on ECG misses over half of acute coronary occlusions (ACO). An alternative OMI-NOMI strategy shows improved sensitivity for ACO detection, challenging the STEMI-NSTEMI paradigm.

Area of Science:

  • Cardiology
  • Diagnostic Imaging
  • Medical Diagnostics

Background:

  • The current STEMI-NSTEMI paradigm relies on ST-segment elevation on a 12-lead ECG to diagnose acute coronary occlusion (ACO).
  • This paradigm may overlook a significant proportion of ACO cases that do not present with ST-segment elevation.
  • Evaluating the diagnostic accuracy of ST-segment elevation is crucial for refining acute coronary syndrome (ACS) diagnosis.

Approach:

  • A systematic review and meta-analysis of studies comparing ECG findings with coronary angiograms were conducted, adhering to PRISMA-DTA guidelines.
  • Three studies involving 23,704 participants were analyzed to calculate pooled sensitivity and specificity of ST-segment elevation for ACO detection.
  • Risk of bias was assessed using QUADAS-2, and bivariate analyses were employed for pooled test accuracy estimates.

Key Points:

  • Pooled sensitivity of ST-segment elevation for ACO detection was 43.6%, indicating a substantial diagnostic gap.
  • Pooled specificity was high at 96.5%, suggesting that when ST-segment elevation is present, ACO is likely.
  • An alternative OMI-NOMI strategy demonstrated improved sensitivity (78.1%) with maintained specificity (94.4%) for ACO detection.

Conclusions:

  • The findings highlight limitations of the STEMI-NSTEMI classification, as over half of ACO cases may not exhibit ST-segment elevation.
  • The OMI-NOMI strategy presents a promising alternative for enhancing ACO diagnosis.
  • Further research is warranted due to high heterogeneity and a limited number of included studies.
Abstract

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