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Updated: Nov 8, 2025

Lung CT Segmentation to Identify Consolidations and Ground Glass Areas for Quantitative Assesment of SARS-CoV Pneumonia
Published on: December 19, 2020
Clinical features and disease severity in an Iranian population of inpatients with COVID-19
Shima Nabavi1, Zahra Javidarabshahi2, Abolghasem Allahyari3
1Department of Internal Medicine, Faculty of Medicine, Mashhad University of Medical Sciences, Mashhad, Iran.
Insights
Low oxygen saturation, nausea/vomiting, and lung CT scan results predict severe COVID-19. These factors, along with C-reactive protein and pO2 levels, aid in predicting severe coronavirus disease 2019 outcomes.
Area of Science:
- Internal Medicine
- Infectious Diseases
- Radiology
Background:
- Coronavirus disease 2019 (COVID-19) presents with varied symptoms and severity.
- Identifying predictors of severe COVID-19 is crucial for patient management.
Purpose of the Study:
- To review clinical features of COVID-19 inpatients with different severities.
- To identify factors associated with and predicting severe COVID-19.
Main Methods:
- Cross-sectional study of 200 COVID-19 patients (moderate, severe, critical) in Mashhad, Iran.
- Collected and compared demographic, clinical, laboratory, and radiologic findings.
- Utilized computed tomography (CT) and reverse-transcriptase polymerase chain reaction (RT-PCR) for diagnosis.
Main Results:
- Disease severity was significantly associated with age, comorbidities, dyspnea, nausea/vomiting, confusion, vital signs, CT involvement, CRP, and blood gas parameters.
- Complications like shock, ARDS, and ICU admission were higher in severe/critical cases.
- Oxygen saturation, nausea/vomiting, and extent of lung CT involvement were independent predictors of severe/critical COVID-19.
Conclusions:
- Oxygen saturation, nausea/vomiting, and lung CT involvement independently predict severe COVID-19.
- Serum CRP and pO2 levels are also associated with higher severity and can aid in prediction.
Abstract:
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 inpatients with different severities. 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. P < 0.05 was considered statistically significant. 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 (P < 0.05). Moreover, complications including shock, coagulopathy, acidosis, sepsis, acute respiratory distress syndrome (ARDS), intensive care unit (ICU) admission, and intubation were significantly higher in patients with higher severities (P < 0.05). O2 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; P < 0.05). 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 to predict severe disease in COVID-19 patients.
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