MedStar Authors catalog › Details for: Development and Validation of the COVID-NoLab and COVID-SimpleLab Risk Scores for Prognosis in 6 US Health Systems.
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Development and Validation of the COVID-NoLab and COVID-SimpleLab Risk Scores for Prognosis in 6 US Health Systems.

by Goyal, Munish; Maloy, Kevin.
Citation: Journal of the American Board of Family Medicine: JABFM. 34(Suppl):S127-S135, 2021 Feb.; .Journal: Journal of the American Board of Family Medicine : JABFM.Published: 2021; ; ISSN: 1557-2625.Full author list: Barrett B; Cai X; Ebell MH; Goyal M; Krist A; Lennon R; Mainous AG 3rd; Maloy K; Tarn DM; Tuan WJ; Zgierska AE.UI/PMID: 33622827.Subject(s): *COVID-19/di [Diagnosis] | *Decision Support Systems, Clinical/st [Standards] | *Risk Assessment/mt [Methods] | Adult | Aged | Aged, 80 and over | COVID-19/mo [Mortality] | Female | Humans | Male | Middle Aged | Pandemics | Prognosis | Risk Factors | SARS-CoV-2 | United States/ep [Epidemiology]Institution(s): MedStar Washington Hospital CenterDepartment(s): Emergency MedicineActivity type: Journal Article.Medline article type(s): Journal ArticleOnline resources: Click here to access online Digital Object Identifier: https://dx.doi.org/10.3122/jabfm.2021.S1.200464 (Click here) Abbreviated citation: J Am Board Fam Med. 34(Suppl):S127-S135, 2021 Feb; .Local Holdings: Available online from MWHC library: 2001 - present.Abstract: CONCLUSIONS: Because they use simple, readily available predictors, developed risk scores have potential applicability in the outpatient setting but require prospective validation before use. (c) Copyright 2021 by the American Board of Family Medicine.Abstract: METHODS: We gathered clinical and initial laboratory variables on consecutive inpatients with COVID-19 who had either died or been discharged alive at 6 US health centers. Logistic regression was used to develop a predictive model using no laboratory values (COVID-NoLab) and one adding tests available in many outpatient settings (COVID-SimpleLab). The models were converted to point scores and their accuracy evaluated in an internal validation group.Abstract: PURPOSE: Develop and validate simple risk scores based on initial clinical data and no or minimal laboratory testing to predict mortality in hospitalized adults with COVID-19.Abstract: RESULTS: We identified 1340 adult inpatients with complete data for nonlaboratory parameters and 741 with complete data for white blood cell (WBC) count, differential, c-reactive protein (CRP), and serum creatinine. The COVID-NoLab risk score includes age, respiratory rate, and oxygen saturation and identified risk groups with 0.8%, 11.4%, and 40.4% mortality in the validation group (AUROCC = 0.803). The COVID-SimpleLab score includes age, respiratory rate, oxygen saturation, WBC, CRP, serum creatinine, and comorbid asthma and identified risk groups with 1.0%, 9.1%, and 29.3% mortality in the validation group (AUROCC = 0.833).

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