Accuracy and clinical effect of out-of-hospital electrocardiography in the diagnosis of acute cardiac ischemia: a meta-analysis
- PMID: 11326182
- DOI: 10.1067/mem.2001.114904
Accuracy and clinical effect of out-of-hospital electrocardiography in the diagnosis of acute cardiac ischemia: a meta-analysis
Abstract
Study objective: We sought to evaluate quantitatively the evidence on the diagnostic performance of out-of-hospital ECG for the diagnosis of acute cardiac ischemia (ACI) and acute myocardial infarction (AMI) and the clinical effect of out-of-hospital thrombolysis.
Methods: We conducted a systematic review and meta-analysis of the English-language literature published between 1966 and December 1998 on the diagnostic accuracy of out-of-hospital ECG and the clinical effect of out-of-hospital thrombolysis. Both prospective and retrospective studies qualified for the assessment of diagnostic performance. For clinical effect, data from prospective nonrandomized studies were synthesized separately from data from randomized trials. Diagnostic performance was assessed by using estimates of test sensitivity, specificity, and diagnostic odds ratios and was summarized by using summary receiver-operating characteristic curves. Measures of clinical effect included time savings, early ventricular function, early mortality, and long-term survival.
Results: Diagnostic accuracy was evaluated in 11 studies with a total of 7,508 patients. Data were available for ACI in 5 studies and for AMI in 8 studies. For ACI, the random-effects pooled sensitivity was 76% (95% CI, 54% to 89%), the specificity was 88% (95% CI, 67% to 96%), and the diagnostic odds ratio was 23 (95% CI, 6.3 to 85). The respective figures for AMI were sensitivity of 68% (95% CI, 59% to 76%), specificity of 97% (95% CI, 89% to 92%), and diagnostic odds ratio of 104 (95% CI, 48 to 224). Both in nonrandomized (n=4, total 1,531 patients) and randomized (n=9, total 6,643 patients) studies, out-of-hospital thrombolysis shortened the time from onset of symptoms to thrombolytic treatment by 40 to 60 minutes. Data on short-term ejection fraction were sparse. Hospital mortality was reduced by 16% (95% CI, 2% to 27%) among randomized trials, and a similar estimate of effect was seen in nonrandomized studies. There was no clear effect on long-term mortality, but data were sparse.
Conclusion: Out-of-hospital ECG has excellent diagnostic performance for AMI and very good performance for ACI. Out-of-hospital thrombolysis achieves time savings and improves short-term mortality, but the effect on long-term mortality is unknown.
Similar articles
-
Accuracy of imaging technologies in the diagnosis of acute cardiac ischemia in the emergency department: a meta-analysis.Ann Emerg Med. 2001 May;37(5):471-7. doi: 10.1067/mem.2001.114901. Ann Emerg Med. 2001. PMID: 11326183 Review.
-
Accuracy of biomarkers to diagnose acute cardiac ischemia in the emergency department: a meta-analysis.Ann Emerg Med. 2001 May;37(5):478-94. doi: 10.1067/mem.2001.114905. Ann Emerg Med. 2001. PMID: 11326184 Review.
-
Diagnosing acute cardiac ischemia in the emergency department: a systematic review of the accuracy and clinical effect of current technologies.Ann Emerg Med. 2001 May;37(5):453-60. doi: 10.1067/mem.2001.114903. Ann Emerg Med. 2001. PMID: 11326181 Review.
-
Mortality and prehospital thrombolysis for acute myocardial infarction: A meta-analysis.JAMA. 2000 May 24-31;283(20):2686-92. doi: 10.1001/jama.283.20.2686. JAMA. 2000. PMID: 10819952
-
Diagnosis of acute cardiac ischemia.Emerg Med Clin North Am. 2003 Feb;21(1):27-59. doi: 10.1016/s0733-8627(02)00079-2. Emerg Med Clin North Am. 2003. PMID: 12630730 Review.
Cited by
-
Machine learning for ECG diagnosis and risk stratification of occlusion myocardial infarction.Nat Med. 2023 Jul;29(7):1804-1813. doi: 10.1038/s41591-023-02396-3. Epub 2023 Jun 29. Nat Med. 2023. PMID: 37386246 Free PMC article.
-
Machine Learning for the ECG Diagnosis and Risk Stratification of Occlusion Myocardial Infarction at First Medical Contact.Res Sq [Preprint]. 2023 Jan 30:rs.3.rs-2510930. doi: 10.21203/rs.3.rs-2510930/v1. Res Sq. 2023. Update in: Nat Med. 2023 Jul;29(7):1804-1813. doi: 10.1038/s41591-023-02396-3. PMID: 36778371 Free PMC article. Updated. Preprint.
-
Identification of Coronary Culprit Lesion in ST Elevation Myocardial Infarction by Using Deep Learning.IEEE J Transl Eng Health Med. 2022 Dec 8;11:70-79. doi: 10.1109/JTEHM.2022.3227204. eCollection 2023. IEEE J Transl Eng Health Med. 2022. PMID: 36654772 Free PMC article.
-
Systematic Review of Clinical Decision Support Systems for Prehospital Acute Coronary Syndrome Identification.Crit Pathw Cardiol. 2020 Sep;19(3):119-125. doi: 10.1097/HPC.0000000000000217. Crit Pathw Cardiol. 2020. PMID: 32209826 Free PMC article.
-
Prehospital Activation of Hospital Resources (PreAct) ST-Segment-Elevation Myocardial Infarction (STEMI): A Standardized Approach to Prehospital Activation and Direct to the Catheterization Laboratory for STEMI Recommendations From the American Heart Association's Mission: Lifeline Program.J Am Heart Assoc. 2020 Jan 21;9(2):e011963. doi: 10.1161/JAHA.119.011963. Epub 2020 Jan 20. J Am Heart Assoc. 2020. PMID: 31957530 Free PMC article. No abstract available.
Publication types
MeSH terms
Substances
LinkOut - more resources
Full Text Sources
Medical
