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Clinical features and disease severity in an Iranian population of COVID-19 patients

Authors :
Shohre Khatami
Mina AkbariRad
Mohsen Seddigh-Shamsi
Reza Basiri
Neda Saeedian
Sepide Hejazi
Farnoosh Ebrahimzadeh
Abolghasem Allahyari
Ahmadreza Zarifian
Fariba Rezaeetalab
Shima Nabavi
Sahar Ravanshad
Mahnaz Mozdourian
Mohammad Ramezani
Zahra Javidarabshahi
Maryam Miri
Maryam Emadzadeh
Publication Year :
2020
Publisher :
Research Square Platform LLC, 2020.

Abstract

Objectives: Coronavirus disease 2019 (COVID-19) can present with a variety of symptoms. Severity of the disease may be associated with several factors. Here, we review clinical features of COVID-19 patients with different severities.Methods: This cross-sectional study was performed in Imam Reza hospital, Mashhad, Iran, during February-April 2020. COVID-19 patients with typical computed tomography (CT) patterns and/or positive reverse-transcriptase polymerase chain reaction (RT-PCR) were included. The patients were classified into three groups of moderate, severe, and critical based on disease severity. Demographic, clinical, laboratory, and radiologic findings were collected and compared. PResults: Overall, 200 patients with mean age of 69.75±6.39 years, of whom 82 (41%) were female were studied. Disease was severe/critical in the majority of patients (167, 83.5%). Disease severity was significantly associated with age, malignant comorbidities, dyspnea, nausea/vomiting, confusion, respiratory rate, pulse rate, O2 saturation, extent of CT involvement, serum C-reactive protein (CRP), pH, pO2, and aspartate transaminase (P2 saturation, nausea/vomiting, and extent of lung CT involvement were independent predictors of severe/critical COVID-19 (OR=0.342, 45.93, and 25.48, respectively; PConclusions: Our results indicate O2 saturation, nausea/vomiting, and extent of lung CT involvement as independent predictors of severe COVID-19 conditions. Serum CRP levels and pO2 were also considerably higher patients with higher severity and can be used along with other factors as possible predictors of severe disease in COVID-19 patients.

Details

Database :
OpenAIRE
Accession number :
edsair.doi...........875c27e959fedc9f6884fe7397c0ea3a
Full Text :
https://doi.org/10.21203/rs.3.rs-51568/v1