1- Rajaie Cardiovascular Medical and Research Center, Iran University of Medical Sciences, Tehran, Iran 2- Rajaie Cardiovascular Medical and Research Center, School of Medicine, Iran University of Medical Sciences, Tehran, Iran 3- Associate Professor, Rajaie Cardiovascular Medical and Research Center, Iran University of Medical Sciences, Tehran, Iran , psadeghipour@hotmail.com
Abstract: (1205 Views)
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.
Aghakhani H, Behpour Z, Amirsardari Z, Zanganehfar M E, Farrashi M, Bakhshandeh H, et al . Convergence of nurses-physicians calculated HEART pathway in patients with chest pain and its role in predicting major adverse cardiovascular events (MACE). پرستاری قلب و عروق 2023; 12 (1) :2-9 URL: http://journal.icns.org.ir/article-1-799-en.html