Current best evidence for clinical care (more info)
OBJECTIVES: Compare the accuracy of PSI, CURB-65, MuLBSTA and COVID-GRAM prognostic scores to predict mortality, the need for invasive mechanical ventilation (IMV) in patients with pneumonia caused by SARS-CoV-2 and assess the coexistence of bacterial respiratory tract infection during admission.
METHODS: Retrospective observational study that included hospitalized adults with pneumonia caused by SARS-CoV-2 from 15/03 to 15/05/2020. We excluded immunocompromised patients, nursing home residents and those admitted in the previous 14 days for another reasons. Analysis of ROC curves was performed, calculating the area under the curve for the different scales, as well as sensitivity, specificity and predictive values.
RESULTS: 208 patients were enrolled, aged 63 ± 17 years, 577% were men. 38 patients were admitted to ICU (235%), of these patients 33 required IMV (868%), with an overall mortality of 125%. Area under the ROC curves for mortality of the scores were: PSI 082 (95% CI 073-091), CURB-65 082 (073-091), MuLBSTA 072 (062-081) and COVID-GRAM 086 (070-1). Area under the curve for needing IMV was: PSI 073 (95% CI 064-082), CURB-65 066 (055-077), MuLBSTA 078 (069-086) and COVID-GRAM 076 (067-085), respectively. Patients with bacterial co-infections of the respiratory tract were 20 (9,6%), the most frequent strains being Pseudomonas aeruginosa and Klebsiella pneumoniae.
CONCLUSIONS: In our study, the COVID-GRAM score was the most accurate to identify patients with higher mortality with pneumonia caused by SARS-CoV-2; however, none of these scores accurately predicts the need for IMV with ICU admission. 10% of patients admitted presented bacterial respiratory co-infection.
| Discipline / Specialty Area | Score |
|---|---|
| Infectious Disease | |
| Hospital Doctor/Hospitalists | |
| Internal Medicine | |
| Intensivist/Critical Care | |
Predictors of outcome can be useful at the individual patient level but they are also of help in allocating resources and anticipating future needs. The more precise the predictor, the better the system. But we have so many changes in our management of COVID, in the kinds of patients who are in the hospital and other political/institutional changes that it is a lot to expect any scale to be uniquely useful. I'm glad that people are looking at this, but a cohort of 200 patients in one country is just the beginning.