A novel scoring system for early assessment of the risk of the COVID-19-associated mortality in hospitalized patients: COVID-19 BURDEN

Corona Virus Disease 2019 (COVID-19) presentations range from those similar to the common flu to severe pneumonia resulting in hospitalization with significant morbidity and/or mortality. In this study, we made an attempt to develop a predictive scoring model to improve the early detection of high r...

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Bibliographic Details
Published in:	European journal of medical research Vol. 28; no. 1; pp. 4 - 7
Main Authors:	Imanieh, Mohammad Hossein, Amirzadehfard, Fatemeh, Zoghi, Sina, Sehatpour, Faezeh, Jafari, Peyman, Hassanipour, Hamidreza, Feili, Maryam, Mollaie, Maryam, Bostanian, Pardis, Mehrabi, Samrad, Dashtianeh, Reyhaneh, Feili, Afrooz
Format:	Journal Article
Language:	English
Published:	England BioMed Central Ltd 03-01-2023 BioMed Central BMC
Subjects:	Adult Bacterial pneumonia COVID-19 Hospital Mortality Hospital patients Hospitalization Humans Information management Medical care Medical care, Cost of Medical records Medical research Medicine, Experimental Mortality Patient outcomes Pneumonia Prognosis Quality management Retrospective Studies Risk Assessment Risk Factors SARS-CoV-2 Virus diseases COVID-19 SARS-CoV-2 Prognosis Mortality Risk assessment
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Summary:	Corona Virus Disease 2019 (COVID-19) presentations range from those similar to the common flu to severe pneumonia resulting in hospitalization with significant morbidity and/or mortality. In this study, we made an attempt to develop a predictive scoring model to improve the early detection of high risk COVID-19 patients by analyzing the clinical features and laboratory data available on admission. We retrospectively included 480 consecutive adult patients, aged 21-95, who were admitted to Faghihi Teaching Hospital. Clinical and laboratory features were collected from the medical records and analyzed using multiple logistic regression analysis. The final data analysis was utilized to develop a simple scoring model for the early prediction of mortality in COVID-19 patients. The score given to each associated factor was based on the coefficients of the regression analyses. A novel mortality risk score (COVID-19 BURDEN) was derived, incorporating risk factors identified in this cohort. CRP (> 73.1 mg/L), O saturation variation (greater than 90%, 84-90%, and less than 84%), increased PT (> 16.2 s), diastolic blood pressure (≤ 75 mmHg), BUN (> 23 mg/dL), and raised LDH (> 731 U/L) were the features constituting the scoring system. The patients are triaged to the groups of low- (score < 4) and high-risk (score ≥ 4) groups. The area under the curve, sensitivity, and specificity for predicting mortality in patients with a score of ≥ 4 were 0.831, 78.12%, and 70.95%, respectively. Using this scoring system in COVID-19 patients, the patients with a higher risk of mortality can be identified which will help to reduce hospital care costs and improve its quality and outcome.
Bibliography:	ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 23
ISSN:	2047-783X 0949-2321 2047-783X
DOI:	10.1186/s40001-022-00908-4