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Identification of Clinical Features Associated with Mortality in COVID-19 Patients

Author

Listed:
  • Rahimeh Eskandarian

    (Semnan University of Medical Sciences)

  • Roohallah Alizadehsani

    (Deakin University)

  • Mohaddeseh Behjati

    (Iran University of Medical Sciences)

  • Mehrdad Zahmatkesh

    (Semnan University of Medical Sciences)

  • Zahra Alizadeh Sani

    (Iran University of Medical Sciences)

  • Azadeh Haddadi

    (Islamic Azad University)

  • Kourosh Kakhi

    (Deakin University)

  • Mohamad Roshanzamir

    (Fasa University)

  • Afshin Shoeibi

    (University of Granada)

  • Sadiq Hussain

    (Dibrugarh University)

  • Fahime Khozeimeh

    (Deakin University)

  • Mohammad Tayarani Darbandy

    (Islamic Azad University Taft)

  • Javad Hassannataj Joloudari

    (University of Birjand
    Amol Institute of Higher Education)

  • Reza Lashgari

    (Shahid Beheshti University)

  • Abbas Khosravi

    (Deakin University)

  • Saeid Nahavandi

    (Deakin University
    Harvard Paulson, Harvard University)

  • Sheikh Mohammed Shariful Islam

    (Deakin University
    The George Institute for Global Health
    University of Sydney)

Abstract

Understanding clinical features and risk factors associated with COVID-19 mortality is needed to early identify critically ill patients, initiate treatments and prevent mortality. A retrospective study on COVID-19 patients referred to a tertiary hospital in Iran between March and November 2020 was conducted. COVID-19-related mortality and its association with clinical features including headache, chest pain, symptoms on computerized tomography (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 were investigated. Based on the investigation outcome, decision tree and dimension reduction algorithms were used to identify the aforementioned risk factors. Of the 3008 patients (mean age 59.3 ± 18.7 years, 44% women) with COVID-19, 373 died. There was a significant association between COVID-19 mortality and old age, headache, chest pain, low respiratory rate, oxygen saturation

Suggested Citation

  • Rahimeh Eskandarian & Roohallah Alizadehsani & Mohaddeseh Behjati & Mehrdad Zahmatkesh & Zahra Alizadeh Sani & Azadeh Haddadi & Kourosh Kakhi & Mohamad Roshanzamir & Afshin Shoeibi & Sadiq Hussain & F, 2023. "Identification of Clinical Features Associated with Mortality in COVID-19 Patients," SN Operations Research Forum, Springer, vol. 4(1), pages 1-20, March.
    • Handle: RePEc:spr:snopef:v:4:y:2023:i:1:d:10.1007_s43069-022-00191-3
    DOI: 10.1007/s43069-022-00191-3
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    References listed on IDEAS

    as
    1. Roohallah Alizadehsani & Mohammad Javad Hosseini & Reihane Boghrati & Asma Ghandeharioun & Fahime Khozeimeh & Zahra Alizadeh Sani, 2012. "Exerting Cost-Sensitive and Feature Creation Algorithms for Coronary Artery Disease Diagnosis," International Journal of Knowledge Discovery in Bioinformatics (IJKDB), IGI Global, vol. 3(1), pages 59-79, January.
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