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Original Research

Open Access

Mortality risk scores in acute cardiogenic pulmonary edema: a comparative study

  • İlker Şirin1,*,
  • Mert Şahin1

1Department of Emergency Medicine, Ankara Etlik City Hospital, 06310 Ankara, Turkey

DOI: 10.22514/sv.2025.149 Vol.21,Issue 10,October 2025 pp.117-128

Submitted: 10 April 2025 Accepted: 13 June 2025

Published: 08 October 2025

*Corresponding Author(s): İlker Şirin E-mail: ilker.sirin@saglik.gov.tr

Abstract

Background: Acute cardiogenic pulmonary edema (ACPE) is a life-threatening clinical condition frequently associated with unplanned hospital admissions and recurrent emergency department visits. Several prognostic risk scores have been developed to predict early mortality in patients with ACPE. This study aimed to compare the discriminative performance of established risk scores and to determine the most applicable tool for clinical use, as early identification of high-risk patients may support timely and effective management. Methods: In this single-center retrospective cohort study, 508 patients diagnosed with ACPE and admitted to a tertiary care hospital between January 2023 and January 2024 were included. Four prognostic scores, the SABIHA (systolic blood pressure, age, blood urea nitrogen, intubation, heart rate, and anemia) score, the Three Interventions in Cardiogenic Pulmonary Oedema (3CPO) trial score, the Prognostic Risk Score (PRS), and the Pulmonary Edema Prognostic Score (PEPS), were calculated for each patient. The primary outcome was 30-day all-cause mortality. Discriminative ability was assessed using receiver operating characteristic (ROC) curve analysis. Additionally, multivariable logistic regression was conducted to identify independent predictors of mortality. Results: The SABIHA score demonstrated the highest discriminative performance, with an area under the curve (AUC) of 0.855 (95% confidence interval (CI): 0.808–0.903, p < 0.001). The optimal cutoff value for the SABIHA score was 2.5, yielding a sensitivity of 70% and specificity of 88%. In comparison, the AUC for the 3CPO score was 0.701 (95% CI: 0.808–0.903, p < 0.001). The SABIHA score significantly outperformed the PRS, PEPS, and 3CPO scores (p < 0.001, DeLong’s test). Conclusions: Among the evaluated prognostic tools, the SABIHA score exhibited superior predictive accuracy for 30-day mortality in patients with ACPE. By integrating age, vital signs, laboratory parameters, and intubation status, the SABIHA score may facilitate early identification of high-risk patients, thereby supporting more informed clinical decision-making and improved patient outcomes.


Keywords

Heart failure; Pulmonary edema; Mortality; Risk score


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İlker Şirin,Mert Şahin. Mortality risk scores in acute cardiogenic pulmonary edema: a comparative study. Signa Vitae. 2025. 21(10);117-128.

References

[1] Zanza C, Saglietti F, Tesauro M, Longhitano Y, Savioli G, Balzanelli MG, et al. Cardiogenic pulmonary edema in emergency medicine. Advances in Respiratory Medicine. 2023; 91: 445–463.

[2] Metra M, Tomasoni D, Adamo M, Bayes-Genis A, Filippatos G, Abdelhamid M, et al. Worsening of chronic heart failure: definition, epidemiology, management and prevention. A clinical consensus statement by the Heart Failure Association of the European Society of Cardiology. European Journal of Heart Failure. 2023; 25: 776–791.

[3] McDonagh TA, Metra M, Adamo M, Gardner RS, Baumbach A, Böhm M, et al. 2021 ESC Guidelines for the diagnosis and treatment of acute and chronic heart failure. European Heart Journal. 2021; 42: 3599–3726.

[4] Mohammad MA, Olesen KKW, Koul S, Gale CP, Rylance R, Jernberg T, et al. Development and validation of an artificial neural network algorithm to predict mortality and admission to hospital for heart failure after myocardial infarction: a nationwide population-based study. The Lancet Digital Health. 2022; 4: e37–e45.

[5] Gray A, Goodacre S, Nicholl J, Masson M, Sampson F, Elliott M, et al. The development of a simple risk score to predict early outcome in severe acute acidotic cardiogenic pulmonary edema: the 3CPO score. Circulation: Heart Failure. 2010; 3: 111–117.

[6] Fiutowski M, Waszyrowski T, Krzemińska-Pakula M, Kasprzak JD. Pulmonary edema prognostic score predicts in-hospital mortality risk in patients with acute cardiogenic pulmonary edema. Heart & Lung. 2008; 37: 46–53.

[7] Zhao HL, Gao XL, Liu YH, Li SL, Zhang Q, Shan WC, et al. Validation and derivation of short-term prognostic risk score in acute decompensated heart failure in China. BMC Cardiovascular Disorders. 2022; 22: 307.

[8] Toprak K, Kaplangöray M, Karataş M, Cellat ZF, Arğa Y, Yılmaz R, et al. Derivation and validation of a simple prognostic risk score to predict short-term mortality in acute cardiogenic pulmonary edema: SABIHA score. To be published in Clinical and Experimental Emergency Medicine. 2025. [Preprint].

[9] Dickstein K, Cohen-Solal A, Filippatos G, McMurray JJ, Ponikowski P, Poole-Wilson PA, et al. ESC guidelines for the diagnosis and treatment of acute and chronic heart failure 2008: the Task Force for the diagnosis and treatment of acute and chronic heart failure 2008 of the European Society of Cardiology. Developed in collaboration with the Heart Failure Association of the ESC (HFA) and endorsed by the European Society of Intensive Care Medicine (ESICM). European Journal of Heart Failure. 2008; 10: 933–989.

[10] Harrison NE, Koester J, Farmer A, Hannon A, Jakupco N, Nanagas J, et al. Emergency physician risk tolerance in acute heart failure is higher than previously thought and compatible with modern disposition decision instruments. Academic Emergency Medicine. 2023; 30: 671–674.

[11] Akoglu H. User’s guide to sample size estimation in diagnostic accuracy studies. Turkish Journal of Emergency Medicine. 2022; 22: 177–185.

[12] Kiernan K, Dodge SE, Kwaku KF, Jackson LR, Zeitler EP. Racial and ethnic differences in implantable cardioverter-defibrillator patient selection, management, and outcomes. Heart Rhythm O2. 2022; 3: 807–816.

[13] Berimavandi M, Abbasi P, Khaledi-Paveh B, Salari N. Relationship between depression and medication adherence in older patients with cardiovascular disease: a systematic review and meta-analysis. Health Science Reports. 2025; 8: e70703.

[14] Redfern J, Tu Q, Hyun K, Hollings MA, Hafiz N, Zwack C, et al. Mobile phone text messaging for medication adherence in secondary prevention of cardiovascular disease. The Cochrane Database of Systematic Reviews. 2024; 3: CD011851.

[15] Helberg J, Bensimhon D, Katsadouros V, Schmerge M, Smith H, Peck K, et al. Heart failure management at home: a non-randomised prospective case-controlled trial (HeMan at Home). Open Heart. 2023; 10: e002371.

[16] Ezekowitz JA, Bakal JA, Kaul P, Westerhout CM, Armstrong PW. Acute heart failure in the emergency department: short and long-term outcomes of elderly patients with heart failure. European Journal of Heart Failure. 2008; 10: 308–314.

[17] Chioncel O, Ambrosy AP, Bubenek S, Filipescu D, Vinereanu D, Petris A, et al. Epidemiology, pathophysiology, and in-hospital management of pulmonary edema: data from the Romanian Acute Heart Failure Syndromes registry. Journal of Cardiovascular Medicine. 2016; 17: 92–104.

[18] Duan S, Li Y, Yang P. Predictive value of blood urea nitrogen in heart failure: a systematic review and meta-analysis. Frontiers in Cardiovascular Medicine. 2023; 10: 1189884.

[19] Demir M, Duyuler PT, Guray U, Celik MC. Platelet to lymphocyte ratio on admission and prognosis in patients with acute cardiogenic pulmonary edema. Journal of Emergency Medicine. 2018; 55: 465–471.


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