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Showing 1 results for Aghakhani
Hanieh Aghakhani, Zahra Behpour, Zahra Amirsardari, Mohammad Esmaeil Zanganehfar, Melody Farrashi, Hooman Bakhshandeh, Parham Sadeghipour, Hojjat Mortezaeian, Abolfath Alizadeh, Bahador Baharestani,
Volume 12, Issue 1 (3-2023)
Abstract
Abstract
Aim. This study aimed at examining the convergence of calculated HEART pathway by physician and nurse along its utility to predict the 3-month occurrence of major adverse cardiac even (MACE) in patients with chest pain admitted to emergency department (ED).
Background. The HEART pathway is a tool to predict MACE in patients with chest pain admitted to ED, to help risk stratification for early discharge and reduce unnecessary cardiac tests.
Method. In the present study, a diagnostic tool was evaluated. Ninety-seven ED patients with acute chest pain, hospitalized in Rajaie Cardiovascular Medical and Research Center, were recruited prospectively. Risk stratification was performed by an ED nurse, a cardiology resident, and a cardiology attending physician. The correlation and the 3-month MACE outcomes were analyzed.
Findings. Pairwise agreements were excellent between the raters. The Intraclass Correlation Coefficient (ICC) among raters were 0.84 (95% CI: 0.73–0.97) and thus, overall agreement was excellent. The HEART pathway score showed a high predictive power (AUC: 0.85 for 3-month MACE). For a cut-off score of 4, sensitivity, specificity, and negative predictive values were 87.5, 58.9, and 95.8 percent, respectively.
Conclusion. The HEART pathway score predicted effectively 3-month MACE in patients with acute non-traumatic chest pain. The high agreement among the three different raters suggests that nurses might use efficiently the score.
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