Author: Shi, Yiyun; Pandita, Aakriti; Hardesty, Anna; McCarthy, Meghan; Aridi, Jad; Weiss, Zoe F.; Beckwith, Curt G.; Farmakiotis, Dimitrios
Title: Validation of pneumonia prognostic scores in a statewide cohort of hospitalised patients with COVIDâ€19 Cord-id: a35q5uvx Document date: 2020_12_31
ID: a35q5uvx
Snippet: OBJECTIVE: We aimed to externally validate the predictive performance of two recently developed COVIDâ€19â€specific prognostic tools, the COVIDâ€GRAM and CALL scores, and prior prognostic scores for communityâ€acquired pneumonia (CURBâ€65), viral pneumonia (MuBLSTA) and H1N1 influenza pneumonia (Influenza risk score) in a contemporary US cohort. METHODS: We included 257 hospitalised patients with laboratoryâ€confirmed COVIDâ€19 pneumonia from three teaching hospitals in Rhode Island. We e
Document: OBJECTIVE: We aimed to externally validate the predictive performance of two recently developed COVIDâ€19â€specific prognostic tools, the COVIDâ€GRAM and CALL scores, and prior prognostic scores for communityâ€acquired pneumonia (CURBâ€65), viral pneumonia (MuBLSTA) and H1N1 influenza pneumonia (Influenza risk score) in a contemporary US cohort. METHODS: We included 257 hospitalised patients with laboratoryâ€confirmed COVIDâ€19 pneumonia from three teaching hospitals in Rhode Island. We extracted data from within the first 24 hours of admission. Variables were excluded if values were missing in >20% of cases, otherwise, missing values were imputed. One hundred and fifteen patients with complete data after imputation were used for the primary analysis. Sensitivity analysis was performed after the exclusion of one variable (LDH) in the complete dataset (n = 257). Primary and secondary outcomes were inâ€hospital mortality and critical illness (mechanical ventilation or death), respectively. RESULTS: Only the areas under the receiverâ€operating characteristic curves (ROâ€AUC) of COVIDâ€GRAM (ROâ€AUC = 0.775, 95% CI 0.525â€0.915) for inâ€hospital death, and CURB65 for inâ€hospital death (ROâ€AUC = 0.842, 95% CI 0.674â€0.932) or critical illness (ROâ€AUC = 0.766, 95% CI 0.584â€0.884) were significantly better than random. Sensitivity analysis yielded similar trends. Calibration plots showed better agreement between the estimated and observed probability of inâ€hospital death for CURB65, compared with COVIDâ€GRAM. The negative predictive value (NPV) of CURB65 ≥2 was 97.2% for inâ€hospital death and 88.1% for critical illness. CONCLUSIONS: The COVIDâ€GRAM score demonstrated acceptable predictive performance for inâ€hospital death. The CURB65 score had better prognostic utility for inâ€hospital death and critical illness. The high NPV of CURB65 values ≥2 may be useful in triaging and allocation of resources.
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