Improving risk stratification in patients with chest pain

The Erlanger HEARTS3 score

Francis M. Fesmire, Erik J. Martin, Yu Cao, Gregory Heath

Research output: Contribution to journalArticle

19 Citations (Scopus)

Abstract

Background: The HEART score uses elements from patient History, Electrocardiogram, Age, Risk Factors, and Troponin to obtain a risk score on a 0- to 10-point scale for predicting acute coronary syndromes (ACS). This investigation seeks to improve on the HEART score by proposing the HEARTS 3 score, which uses likelihood ratio analysis to give appropriate weight to the individual elements of the HEART score as well as incorporating 3 additional S variables: Sex, Serial 2-hour electrocardiogram, and Serial 2-hour delta troponin during the initial emergency department valuation. Methods: This is a retrospective analysis of a prospectively acquired database consisting of 2148 consecutive patients with non-ST-segment elevation chest pain. Interval analysis of likelihood ratios was performed to determine appropriate weighting of the individual elements of the HEART3 score. Primary outcomes were 30-day ACS and myocardial infarction. Results: There were 315 patients with 30-day ACS and 1833 patients without ACS. Likelihood ratio analysis revealed significant discrepancies in weight of the 5 individual elements shared by the HEART and HEARTS3 score. The HEARTS3 score outperformed the HEART score as determined by comparison of areas under the receiver operating characteristic curve for myocardial infarction (0.958 vs 0.825; 95% confidence interval difference in areas, 0.105-0.161) and for 30-day ACS (0.901 vs 0.813; 95% confidence interval difference in areas, 0.064-0.110). Conclusion: The HEARTS3 score reliably risk stratifies patients with chest pain for 30-day ACS. Prospective studies need to be performed to determine if implementation of this score as a decision support tool can guide treatment and disposition decisions in the management of patients with chest pain.

Original languageEnglish (US)
Pages (from-to)1829-1837
Number of pages9
JournalAmerican Journal of Emergency Medicine
Volume30
Issue number9
DOIs
StatePublished - Nov 1 2012
Externally publishedYes

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Acute Coronary Syndrome
Chest Pain
Troponin
Electrocardiography
Myocardial Infarction
Confidence Intervals
Weights and Measures
Age Factors
ROC Curve
Hospital Emergency Service
Databases
Prospective Studies

All Science Journal Classification (ASJC) codes

  • Emergency Medicine

Cite this

Improving risk stratification in patients with chest pain : The Erlanger HEARTS3 score. / Fesmire, Francis M.; Martin, Erik J.; Cao, Yu; Heath, Gregory.

In: American Journal of Emergency Medicine, Vol. 30, No. 9, 01.11.2012, p. 1829-1837.

Research output: Contribution to journalArticle

Fesmire, Francis M. ; Martin, Erik J. ; Cao, Yu ; Heath, Gregory. / Improving risk stratification in patients with chest pain : The Erlanger HEARTS3 score. In: American Journal of Emergency Medicine. 2012 ; Vol. 30, No. 9. pp. 1829-1837.
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abstract = "Background: The HEART score uses elements from patient History, Electrocardiogram, Age, Risk Factors, and Troponin to obtain a risk score on a 0- to 10-point scale for predicting acute coronary syndromes (ACS). This investigation seeks to improve on the HEART score by proposing the HEARTS 3 score, which uses likelihood ratio analysis to give appropriate weight to the individual elements of the HEART score as well as incorporating 3 additional S variables: Sex, Serial 2-hour electrocardiogram, and Serial 2-hour delta troponin during the initial emergency department valuation. Methods: This is a retrospective analysis of a prospectively acquired database consisting of 2148 consecutive patients with non-ST-segment elevation chest pain. Interval analysis of likelihood ratios was performed to determine appropriate weighting of the individual elements of the HEART3 score. Primary outcomes were 30-day ACS and myocardial infarction. Results: There were 315 patients with 30-day ACS and 1833 patients without ACS. Likelihood ratio analysis revealed significant discrepancies in weight of the 5 individual elements shared by the HEART and HEARTS3 score. The HEARTS3 score outperformed the HEART score as determined by comparison of areas under the receiver operating characteristic curve for myocardial infarction (0.958 vs 0.825; 95{\%} confidence interval difference in areas, 0.105-0.161) and for 30-day ACS (0.901 vs 0.813; 95{\%} confidence interval difference in areas, 0.064-0.110). Conclusion: The HEARTS3 score reliably risk stratifies patients with chest pain for 30-day ACS. Prospective studies need to be performed to determine if implementation of this score as a decision support tool can guide treatment and disposition decisions in the management of patients with chest pain.",
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