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Identification of clinical features associated with mortality in COVID-19 patients
Rahimeh Eskandarian; Zahra Alizadeh Sani; Mohaddeseh Behjati; Mehrdad Zahmatkesh; Azadeh Haddadi; Kourosh Kakhi; Mohamad Roshanzamir; Afshin Shoeibi; Roohallah Alizadehsani; Sadiq Hussain; Fahime Khozeimeh; Vahideh Keyvani; Abbas Khosravi; Saeid Nahavandi; Sheikh Mohammed Shariful Islam.
Affiliation
  • Rahimeh Eskandarian; Semnan University of Medical Sciences
  • Zahra Alizadeh Sani; Omid hospital, Iran University of Medical Sciences, Tehran, Iran
  • Mohaddeseh Behjati; Rajaei Cardiovascular Medical and Research Center, Iran University of Medical Sciences, Tehran, Iran
  • Mehrdad Zahmatkesh; Semnan University of Medical Sciences
  • Azadeh Haddadi; Department of Biology, Faculy of Basic Sciences, Shahrekord Branch, Islamic Azad University, Shahrekord, Iran.
  • Kourosh Kakhi; Computer department, Monash University. Melbourne, Australia
  • Mohamad Roshanzamir; Department of Engineering, Fasa Branch, Islamic Azad University, Post Box No 364, Fasa, Fars 7461789818, Iran
  • Afshin Shoeibi; Computer Engineering Department, Ferdowsi University of Mashhad, Mashhad, Iran.
  • Roohallah Alizadehsani; Deakin University
  • Sadiq Hussain; System Administrator, Dibrugarh University, Assam 786004, India
  • Fahime Khozeimeh; Institute for Intelligent Systems Research and Innovation (IISRI), Deakin University, Victoria, Australia
  • Vahideh Keyvani; Department of Biology, Faculty of Science, Shahid Chamran University of Ahvaz, Ahvaz, Iran.
  • Abbas Khosravi; Institute for Intelligent Systems Research and Innovation (IISRI), Deakin University, Victoria, Australia
  • Saeid Nahavandi; Institute for Intelligent Systems Research and Innovation (IISRI), Deakin University, Victoria, Australia
  • Sheikh Mohammed Shariful Islam; Institute for Physical Activity and Nutrition, School of Exercise and Nutrition Sciences, Deakin University, Geelong, VIC, 3220, Australia
Preprint in English | medRxiv | ID: ppmedrxiv-21255715
ABSTRACT
BackgroundTo prevent infectious diseases, it is necessary to understand how they are spread and their clinical features. Early identification of risk factors and clinical features is needed to identify critically ill patients, provide suitable treatments, and prevent mortality. MethodsWe conducted a prospective study on COVID-19 patients referred to a tertiary hospital in Iran between March and November 2020. Of the 3008 patients (mean age 59.3{+/-}18.7 years, range 1 to 100 years), 1324 were women. We investigated COVID-19 related mortality and its association with clinical features including headache, chest pain, symptoms on CT, hospitalization, time to infection, history of neurological disorders, having a single or multiple risk factors, fever, myalgia, dizziness, seizure, abdominal pain, nausea, vomiting, diarrhoea and anorexia. FindingsThere was a significant association between COVID-19 mortality and old age, headache, chest pain, respiratory distress, low respiratory rate, oxygen saturation less than 93%, need for a mechanical ventilator, having symptoms on CT, hospitalization, time to infection, history of hypertension, neurological disorders, cardiovascular diseases and having a risk factor or multiple risk factors. In contrast, there was no significant association between mortality and gender, fever, myalgia, dizziness, seizure, abdominal pain, nausea, vomiting, diarrhoea and anorexia. InterpretationOur results might help identify early symptoms related to COVID-19 and better manage patients clinically.
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Full text: Available Collection: Preprints Database: medRxiv Type of study: Cohort_studies / Observational study / Prognostic study Language: English Year: 2021 Document type: Preprint
Full text: Available Collection: Preprints Database: medRxiv Type of study: Cohort_studies / Observational study / Prognostic study Language: English Year: 2021 Document type: Preprint
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