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Risk Factors Prediction, Clinical Outcomes, and Mortality of COVID-19 Patients
Roohallah Alizadehsani; Zahra Alizadeh sani; Mohaddeseh Behjati; Zahra Roshanzamir; Sadiq Hussain; Niloofar Abedini; Fereshteh Hasanzadeh; Abbas Khosravi; Afshin Shoeibi; Mohamad Roshanzamir; Pardis Moradnejad; Saeid Nahavandi; Fahime Khozeimeh; Assef Zare; Maryam Panahiazar; U. Rajendra Acharya; Sheikh Mohammed Shariful Islam.
Afiliação
  • Roohallah Alizadehsani; Deakin University
  • Zahra Alizadeh sani; Omid hospital, Cardiac MRI department,Tehran, IRAN
  • Mohaddeseh Behjati; Rajaei Cardiovascular Medical and Research Center, Iran University of Medical Sciences, Tehran, Iran
  • Zahra Roshanzamir; Pediatric Respiratory and Sleep Medicine Research Center, Children's Medical Center, Tehran University of Medical Sciences, Tehran, Iran
  • Sadiq Hussain; System Administrator at Dibrugarh University, Assam, India, 786004.
  • Niloofar Abedini; Tehran University of Medical Science, Imam Khomeini Hospital Complex, Tehran, Iran.
  • Fereshteh Hasanzadeh; Omid hospital, Cardiac MRI department,Tehran, IRAN.
  • Abbas Khosravi; Institute for Intelligent Systems Research and Innovation (IISRI), Deakin University, Victoria 3217, Australia.
  • Afshin Shoeibi; Computer Engineering Department, Ferdowsi University of Mashhad, Mashhad, Iran.
  • Mohamad Roshanzamir; Department of Engineering, Fasa Branch, Islamic Azad University, Post Box No 364, Fasa, Fars 7461789818, Iran
  • Pardis Moradnejad; Rajaei Cardiovascular Medical and Research Center, Iran University of Medical Sciences, Tehran, Iran.
  • Saeid Nahavandi; Institute for Intelligent Systems Research and Innovation (IISRI), Deakin University, Victoria 3217, Australia.
  • Fahime Khozeimeh; Mashhad University of Medical Science, Mashhad, Iran.
  • Assef Zare; Faculty of Electrical Engineering, Gonabad Branch, Islamic Azad University, Gonabad, Iran.
  • Maryam Panahiazar; University of California San Francisco, San Francisco, CA, USA.
  • U. Rajendra Acharya; Department of Electronics and Computer Engineering, Ngee Ann Polytechnic, Singapore 599489, Singapore.
  • Sheikh Mohammed Shariful Islam; Institute for Physical Activity and Nutrition, Deakin University, Melbourne, Australia.
Preprint em Inglês | medRxiv | ID: ppmedrxiv-20148569
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ABSTRACT
BackgroundPreventing 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 to identify critically ill patients, provide proper treatment and prevent mortality. MethodsWe conducted a prospective study in patients with flu-like symptoms referred to the imaging department of a tertiary hospital in IRAN between 3 March 2020 and 8 April 2020. Patients with COVID- 19 were followed up to check their health condition after two months. The categorical data between groups were analyzed by Fishers exact test and continuous data by Wilcoxon Rank-Sum Test. Findings319 patients (mean age 45.48{+/-}18.50 years, 177 women) were enrolled. Fever, dyspnea, weakness, shivering, C-reactive protein (CRP), fatigue, dry cough, anorexia, anosmia, ageusia, dizziness, sweating and age were the most important symptoms of COVID-19 infection. Traveling in past three months, asthma, taking corticosteroids, liver disease, rheumatological disease, cough with sputum, eczema, conjunctivitis, tobacco use, and chest pain did not have any relationship with COVID-19. O_TEXTBOXResearch in contextO_ST_ABSEvidence before this studyC_ST_ABSWe searched Google scholar, PUBMED and Scopus for articles that investigated the recent epidemic of COVID-19, especially those that investigate effective risk factors. We found that there is not enough research in this field, especially the risk factor that is effective in finding the rate of mortality of this disease. Added value of this studyWe determined some of the most important effective risk factors on prediction, clinical outcome and mortality rate of COVID-19 infection. To the best of our knowledge, some of these risk factors are investigated in this work for the first time. Our findings could provide good insight into the early prediction of the disease, its clinical outcomes, and suggest a cost-effective method for mortality prediction. Implication of all the available evidenceCOVID-19 can transmit human-to-human and lead to severe symptoms and high mortality. Early prediction of this disease and the risk of mortality can help the physicians to better manage this worldwide health problem. C_TEXTBOX InterpretationFinding clinical symptoms for early diagnosis of COVID-19 is a critical part of prevention. These symptoms can help in the assessment of disease progression. To the best of our knowledge, some of the effective features on the mortality due to COVID-19 are investigated for the first time in this research. FundingNone
Licença
cc_by_nc_nd
Texto completo: Disponível Coleções: Preprints Base de dados: medRxiv Tipo de estudo: Cohort_studies / Experimental_studies / Estudo observacional / Estudo prognóstico / Rct / Review Idioma: Inglês Ano de publicação: 2020 Tipo de documento: Preprint
Texto completo: Disponível Coleções: Preprints Base de dados: medRxiv Tipo de estudo: Cohort_studies / Experimental_studies / Estudo observacional / Estudo prognóstico / Rct / Review Idioma: Inglês Ano de publicação: 2020 Tipo de documento: Preprint
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