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Risk Factors Prediction, Clinical Outcomes, and Mortality In Covid-19 Patients Publisher Pubmed



Alizadehsani R1 ; Alizadeh Sani Z2, 3 ; Behjati M2 ; Roshanzamir Z4 ; Hussain S5 ; Abedini N6 ; Hasanzadeh F3 ; Khosravi A1 ; Shoeibi A7, 8 ; Roshanzamir M9 ; Moradnejad P2 ; Nahavandi S1 ; Khozeimeh F1 ; Zare A10 Show All Authors
Authors
  1. Alizadehsani R1
  2. Alizadeh Sani Z2, 3
  3. Behjati M2
  4. Roshanzamir Z4
  5. Hussain S5
  6. Abedini N6
  7. Hasanzadeh F3
  8. Khosravi A1
  9. Shoeibi A7, 8
  10. Roshanzamir M9
  11. Moradnejad P2
  12. Nahavandi S1
  13. Khozeimeh F1
  14. Zare A10
  15. Panahiazar M11
  16. Acharya UR12, 13, 14
  17. Islam SMS15
Show Affiliations
Authors Affiliations
  1. 1. Institute for Intelligent Systems Research and Innovation (IISRI), Deakin University, VIC, Australia
  2. 2. Rajaei Cardiovascular Medical and Research Center, Iran University of Medical Sciences, Tehran, Iran
  3. 3. Department of Cardiac MRI, Omid Hospital, Tehran, Iran
  4. 4. Pediatric Respiratory and Sleep Medicine Research Center, Children's Medical Center, Tehran University of Medical Sciences, Tehran, Iran
  5. 5. System Administrator at Dibrugarh University, Dibrugarh, Assam, India
  6. 6. Tehran University of Medical Science, Imam Khomeini Hospital Complex, Tehran, Iran
  7. 7. Faculty of Electrical and Computer Engineering, Biomedical Data Acquisition Lab, K. N. Toosi University of Technology, Tehran, Iran
  8. 8. Department of Computer Engineering, Ferdowsi University of Mashhad, Mashhad, Iran
  9. 9. Department of Engineering, Islamic Azad University, Fasa, Fars, Iran
  10. 10. Faculty of Electrical Engineering, Gonabad Branch, Islamic Azad University, Gonabad, Iran
  11. 11. Institute for Computational Health Sciences, University of California San Francisco, San Francisco, CA, United States
  12. 12. Department of Electronics and Computer Engineering, Ngee Ann Polytechnic, Singapore, Singapore
  13. 13. Department of Biomedical Informatics and Medical Engineering, Asia University, Taichung, Taiwan
  14. 14. Department of Biomedical Engineering, School of Science and Technology, Singapore University of Social Sciences, Singapore
  15. 15. Institute for Physical Activity and Nutrition, Faculty of Health, Deakin University, Melbourne, VIC, Australia

Source: Journal of Medical Virology Published:2021


Abstract

Preventing communicable diseases requires understanding the spread, epidemiology, clinical features, progression, and prognosis of the disease. Early identification of risk factors and clinical outcomes might help in identifying critically ill patients, providing appropriate treatment, and preventing mortality. We conducted a prospective study in patients with flu-like symptoms referred to the imaging department of a tertiary hospital in Iran between March 3, 2020, and April 8, 2020. Patients with COVID-19 were followed up after two months to check their health condition. The categorical data between groups were analyzed by Fisher's exact test and continuous data by Wilcoxon rank-sum test. Three hundred and nineteen patients (mean age 45.48 ± 18.50 years, 177 women) were enrolled. Fever, dyspnea, weakness, shivering, C-reactive protein, fatigue, dry cough, anorexia, anosmia, ageusia, dizziness, sweating, and age were the most important symptoms of COVID-19 infection. Traveling in the past 3 months, asthma, taking corticosteroids, liver disease, rheumatological disease, cough with sputum, eczema, conjunctivitis, tobacco use, and chest pain did not show any relationship with COVID-19. To the best of our knowledge, a number of factors associated with mortality due to COVID-19 have been investigated for the first time in this study. Our results might be helpful in early prediction and risk reduction of mortality in patients infected with COVID-19. © 2020 Wiley Periodicals LLC
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