Document Type : Original article

Authors

1 Department of internal medicin, emam reza hospital,mashhad univercity

2 Student Research Committee, Faculty of Medicine, Mashhad University of Medical Sciences, Mashhad, Iran

3 Department of Internal medicine, Faculty of medicine, Mashhad University of Medical sciences, Mashhad, Iran

4 RZ Rheumazentrum Rheinland-Pfalz, Bad Kreuznach, Deutschland.

5 Rheumatology Research Center, School of Medicine, Mashhad University of Medical Sciences, Mashhad, Iran

6 Rheumatic Diseases Research Center, Faculty of Medicine, Mashhad University of Medical Sciences, Mashhad, Iran

7 Rheumatic Disease Research Center, Mashhad University of Medical Sciences, Mashhad, Iran

8 Department of Radiology, Faculty of Medicine, Mashhad University of Medical Sciences, Mashhad, Iran.

9 Department of Internal Medicine, Mashhad University of Medical Sciences, Mashhad, Iran.

10 Clinical Research Development Unit, Ghaem Hospital, Mashhad University of Medical Sciences, Mashhad, Iran

Abstract

Introduction: Health care systems all over the world face numerous challenges as a result of the rapid spread of the COVID-19 virus that has resulted in increased mortality rates. About 40% of ICU-admitted COVID-19 patients were not severely ill at the time of admission. Thus, by using appropriate ICU admission predictors, clinicians can identify potential critical patients early on. It can also result in suitable resource allocation and consideration for these patients. Therefore, the current study was done with the aim of identifying clinical characteristics and laboratory data that could predict ICU admission in cases with COVID-19.
Methods: This two-center retrospective observational study was done in Imam Reza and Ghaem Hospitals, Mashhad, Iran. Overall, 334 COVID-19 patients who referred to these hospitals from February to May 2020 were enrolled in this study. The participants were separated into two groups according to ICU admission status. All demographic, clinical, and paraclinical information were extracted from the medical records of the patients. 
Results: The present study composed of 88 ICU and 246 non-ICU-admitted COVID-19 patients. No significant differences were found in age between the two groups of patients (P=0.154). Multivariate regression analysis revealed that higher levels of CRP (OR=1.01, 95%CI 1.001-1.010, P=0.016), WBC (OR=1.11, 95% CI 1.01-1.22, P=0.03), and HRCT scores (OR=1.08, 95%CI=1.01-1.16, P=0.037) were linked to higher odds of ICU admission.
Conclusion: This study suggests that higher levels of CRP, WBC, and LDH, as well as the HRCT score at the time of admission, were potential independent predictors of ICU admission during inpatient treatment in COVID-19 patients.

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