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Risk factors prediction, clinical outcomes, and mortality in COVID-19 patients.
Alizadehsani, Roohallah; Alizadeh Sani, Zahra; Behjati, Mohaddeseh; Roshanzamir, Zahra; Hussain, Sadiq; Abedini, Niloofar; Hasanzadeh, Fereshteh; Khosravi, Abbas; Shoeibi, Afshin; Roshanzamir, Mohamad; Moradnejad, Pardis; Nahavandi, Saeid; Khozeimeh, Fahime; Zare, Assef; Panahiazar, Maryam; Acharya, U Rajendra; Islam, Sheikh Mohammed Shariful.
  • Alizadehsani R; Institute for Intelligent Systems Research and Innovation (IISRI), Deakin University, Victoria, Australia.
  • Alizadeh Sani Z; Rajaei Cardiovascular Medical and Research Center, Iran University of Medical Sciences, Tehran, Iran.
  • Behjati M; Department of Cardiac MRI, Omid Hospital, Tehran, Iran.
  • Roshanzamir Z; Rajaei Cardiovascular Medical and Research Center, Iran University of Medical Sciences, Tehran, Iran.
  • Hussain S; Pediatric Respiratory and Sleep Medicine Research Center, Children's Medical Center, Tehran University of Medical Sciences, Tehran, Iran.
  • Abedini N; System Administrator at Dibrugarh University, Dibrugarh, Assam, India.
  • Hasanzadeh F; Tehran University of Medical Science, Imam Khomeini Hospital Complex, Tehran, Iran.
  • Khosravi A; Department of Cardiac MRI, Omid Hospital, Tehran, Iran.
  • Shoeibi A; Institute for Intelligent Systems Research and Innovation (IISRI), Deakin University, Victoria, Australia.
  • Roshanzamir M; Faculty of Electrical and Computer Engineering, Biomedical Data Acquisition Lab, K. N. Toosi University of Technology, Tehran, Iran.
  • Moradnejad P; Department of Computer Engineering, Ferdowsi University of Mashhad, Mashhad, Iran.
  • Nahavandi S; Department of Engineering,  Islamic Azad University, Fasa, Fars, Iran.
  • Khozeimeh F; Rajaei Cardiovascular Medical and Research Center, Iran University of Medical Sciences, Tehran, Iran.
  • Zare A; Institute for Intelligent Systems Research and Innovation (IISRI), Deakin University, Victoria, Australia.
  • Panahiazar M; Institute for Intelligent Systems Research and Innovation (IISRI), Deakin University, Victoria, Australia.
  • Acharya UR; Faculty of Electrical Engineering, Gonabad Branch, Islamic Azad University, Gonabad, Iran.
  • Islam SMS; Institute for Computational Health Sciences, University of California San Francisco, San Francisco, CA, USA.
J Med Virol ; 93(4): 2307-2320, 2021 04.
Article in English | MEDLINE | ID: covidwho-1227752
Preprint
This scientific journal article is probably based on a previously available preprint. It has been identified through a machine matching algorithm, human confirmation is still pending.
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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.
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Full text: Available Collection: International databases Database: MEDLINE Main subject: COVID-19 Type of study: Cohort study / Diagnostic study / Experimental Studies / Observational study / Prognostic study / Randomized controlled trials Limits: Adult / Female / Humans / Male / Middle aged Country/Region as subject: Asia Language: English Journal: J Med Virol Year: 2021 Document Type: Article Affiliation country: Jmv.26699

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Full text: Available Collection: International databases Database: MEDLINE Main subject: COVID-19 Type of study: Cohort study / Diagnostic study / Experimental Studies / Observational study / Prognostic study / Randomized controlled trials Limits: Adult / Female / Humans / Male / Middle aged Country/Region as subject: Asia Language: English Journal: J Med Virol Year: 2021 Document Type: Article Affiliation country: Jmv.26699