Abstract
In this study we aimed to evaluate the ability of IMPROVE and IMPROVE-DD scores in predicting in-hospital mortality in patients with severe COVID-19. This prospective observational study included adult patients with severe COVID-19 within 12 h from admission. We recorded patients’ demographic and laboratory data, Charlson comorbidity index (CCI), SpO 2 at room air, acute physiology and chronic health evaluation II (APACHE II), IMPROVE score and IMPROVE-DD score. In-hospital mortality and incidence of clinical worsening (the need for invasive mechanical ventilation, vasopressors, renal replacement therapy) were recorded. Our outcomes included the ability of the IMPROVE and IMPROVE-DD to predict in-hospital mortality and clinical worsening using the area under receiver operating characteristic curve (AUC) analysis. Multivariate analysis was used to detect independent risk factors for the study outcomes. Eighty-nine patients were available for the final analysis. The IMPROVE and IMPROVE-DD score showed the highest ability for predicting in-hospital mortality (AUC [95% confidence intervals {CI}] 0.96 [0.90-0.99] and 0.96 [0.90-0.99], respectively) in comparison to other risk stratification tools (APACHE II, CCI, SpO 2 ). The AUC (95% CI) for IMPROVE and IMPROVE-DD to predict clinical worsening were 0.80 (0.70-0.88) and 0.79 (0.69-0.87), respectively. Using multivariate analysis, IMPROVE-DD and SpO 2 were the only predictors for in-hospital mortality and clinical worsening. In patients with severe COVID-19, high IMPROVE and IMOROVE-DD scores showed excellent ability to predict in-hospital mortality and clinical worsening. Independent risk factors for in-hospital mortality and clinical worsening were IMPROVE-DD and SpO 2 .
【초록키워드】 Mortality, severe COVID-19, prospective observational study, Comorbidity, outcome, risk factor, risk stratification, Health, Patient, predictor, incidence, characteristic, Admission, predict, in-hospital mortality, Multivariate analysis, renal replacement therapy, Invasive mechanical ventilation, Analysis, AUC, APACHE II, confidence interval, 95% CI, laboratory data, worsening, vasopressors, Final, independent risk factor, study outcomes, highest, was used, detect, evaluate, recorded, were recorded, CCI, 【제목키워드】 prospective observational study, outcome, Patient, predict, Ability,