Author/Authors :
Pazoki, Marzieh Department of Pulmonary Medicine - Sina Hospital - Tehran University of Medical Sciences, Tehran, Iran , Payandemehr, Pooya Department of Emergency Medicine - Sina Hospital - Tehran University of Medical Sciences, Tehran, Iran , Montazeri, Mahnaz Research Center For Clinical Virology - Tehran University of Medical Sciences, Tehran, Iran , Kafan, Samira Department of Pulmonary Medicine - Sina Hospital - Tehran University of Medical Sciences, Tehran, Iran , Sheikhvatan, Mehrdad Heidelberg Medical Hospital, Heidelberg, Germany , Sotoodehnia, Mehran Department of Emergency Medicine - Sina Hospital - Tehran University of Medical Sciences, Tehran, Iran , Salimzadeh, Ahmad Rheumatology Research Center - Sina Hospital - Tehran University of Medical Sciences, Tehran, Iran , Ebrahimi, Mehdi Department of Endocrinology Medicine - Sina Hospital - Tehran University of Medical Sciences, Tehran, Iran , Najafi, Atabak Department of Anesthesiology - Sina Hospital - Tehran University of Medical Sciences, Tehran, Iran , Shariat Moharari, Reza Department of Anesthesiology - Sina Hospital - Tehran University of Medical Sciences, Tehran, Iran , Khajavi, Mohammad Reza Department of Anesthesiology - Sina Hospital - Tehran University of Medical Sciences, Tehran, Iran , Talebpour, Mohammad Department of Surgery - Sina Hospital - Tehran University of Medical Sciences, Tehran, Iran , Ashraf, Haleh Cardiac Primary Prevention Research Center (CPPRC) - Cardiovascular Disease Research Institute - Tehran University of Medical Sciences, Tehran, Iran , Aghamir, Mohammad Kazem Department of Urology - Sina Hospital - Tehran University of Medical Sciences, Tehran, Iran , Karbalai Saleh, Shahrokh Department of Cardiology - Sina Hospital - Tehran University of Medical Sciences, Tehran, Iran , Shakouri Rad, Ali Department of Radiology - Sina Hospital - Tehran University of Medical Sciences, Tehran, Iran , Moradi Tabriz, Hedieh Department of Pathology - Sina Hospital - Tehran University of Medical Sciences, Tehran, Iran , Najmeddin, Farhad Department of Clinical Pharmacy - Faculty of Pharmacy - Tehran University of Medical Sciences, Tehran, Iran , Arya, Pantea Department of Psychology - Sina Hospital - Tehran University of Medical Sciences, Tehran, Iran , Peirovi, Niloufar Students’ Scientific Research Center (SSRC) - Tehran University of Medical Sciences, Tehran, Iran , Kazemian, Sina Students’ Scientific Research Center (SSRC) - Tehran University of Medical Sciences, Tehran, Iran , Kashani, Mehdi Research Development Center - Sina Hospital - Tehran University of Medical Sciences, Tehran, Iran , Babaei, Sorya Research Development Center - Sina Hospital - Tehran University of Medical Sciences, Tehran, Iran , Hadadi, Azar Research Center For Clinical Virology - Tehran University of Medical Sciences, Tehran, Iran
Abstract :
Background: Since the outbreak of coronavirus 2019 (COVID-19),
identifying risk factors associated with in-hospital mortality has been
a global priority. In this study, the purpose was to evaluate the clinical,
laboratory, and radiological characteristics of hospitalized patients
with COVID-19 to develop a predictive model and scoring system for
in-hospital mortality.
Methods: In this retrospective cohort study, 611 adult patients with
COVID-19, admitted to Sina hospital were enrolled and followed up.
Results: Out of the total number of 611 patients, 104 patients (17%)
deceased during hospitalization, including 75 (12.2%) deaths in ICU
and 29 (4.7%) deaths in the wards. After multivariate logistic regression
analysis, several characteristics including age >55 years, previous
history of malignancy, history of cerebrovascular accident, tachypnea
on admission, CRP>54 on admission, D-dimer>1300, and bilateral
pulmonary consolidation on chest Computed Tomography (CT) were
shown to be the main determinants for stratifying the risk for in-
hospital death. The factors were finally considered for introducing a
new predictive scoring system for COVID-19 related death.
Conclusion: In-hospital mortality rate in patients with COVID-19 is
estimated to be 17%. A new scoring system for predicting in-hospital
mortality in such patients was structured based on determinant factors
of advanced age, history of malignancy, cerebrovascular accident,
tachypnea, raised CRP, raised D-dimer on admission, and bilateral
pulmonary consolidation on chest CT scan.