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

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 c...

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Bibliographic Details
Published in:Operations Research Forum 2023-03, Vol.4 (1), p.16, Article 16
Main Authors: Eskandarian, Rahimeh, Alizadehsani, Roohallah, Behjati, Mohaddeseh, Zahmatkesh, Mehrdad, Sani, Zahra Alizadeh, Haddadi, Azadeh, Kakhi, Kourosh, Roshanzamir, Mohamad, Shoeibi, Afshin, Hussain, Sadiq, Khozeimeh, Fahime, Darbandy, Mohammad Tayarani, Joloudari, Javad Hassannataj, Lashgari, Reza, Khosravi, Abbas, Nahavandi, Saeid, Islam, Sheikh Mohammed Shariful
Format: Article
Language:English
Subjects:
Age
Algorithms
Applications of Mathematics
Business and Management
Chest
Computed tomography
Coronaviruses
COVID-19
Data collection
Datasets
Decision trees
Diabetes
Digital technology
Dizziness
Expected values
Fever
Headache
Hospitals
Infections
Math Applications in Computer Science
Mathematical and Computational Engineering
Mortality
Nausea
Neurological diseases
Operations Research/Decision Theory
Optimization
Oxygen content
Oxygen saturation
Pain
Pandemics
Patients
Respiratory rate
Seizures
Signs and symptoms
Vomiting
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Summary: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 
ISSN:2662-2556
2662-2556
DOI:10.1007/s43069-022-00191-3