Authors
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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 -More
Category
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Primary study
Pre-print»medRxiv
Year
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2021
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.
The copyright holder for this preprint is the author/funder, who has granted medRxiv a license to display the preprint in perpetuity. It is made available under a CC-BY-NC-ND 4.0 International license
Epistemonikos ID: 9d45355d38a22fad2bfff87515e53ed69963075b
First added on: Apr 21, 2021