In-hospital mortality prediction using frailty scale and severity score in elderly patients with severe COVID-19
| Autor: | Yong Sub Na, Jin Hyoung Kim, Moon Seong Baek, Won-Young Kim, Ae-Rin Baek, Bo young Lee, Gil Myeong Seong, Song-I Lee |
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| Jazyk: | angličtina |
| Rok vydání: | 2022 |
| Předmět: | |
| Zdroj: | Acute and Critical Care, Vol 37, Iss 3, Pp 303-311 (2022) |
| Druh dokumentu: | article |
| ISSN: | 2586-6052 2586-6060 |
| DOI: | 10.4266/acc.2022.00017 |
| Popis: | Background Elderly patients with coronavirus disease 2019 (COVID-19) have a high disease severity and mortality. However, the use of the frailty scale and severity score to predict in-hospital mortality in the elderly is not well established. Therefore, in this study, we investigated the use of these scores in COVID-19 cases in the elderly. Methods This multicenter retrospective study included severe COVID-19 patients admitted to seven hospitals in Korea from February 2020 to February 2021. We evaluated patients’ Acute Physiology and Chronic Health Evaluation (APACHE) II score; confusion, urea nitrogen, respiratory rate, blood pressure, 65 years of age and older (CURB-65) score; modified early warning score (MEWS); Sequential Organ Failure Assessment (SOFA) score; clinical frailty scale (CFS) score; and Charlson comorbidity index (CCI). We evaluated the predictive value using receiver operating characteristic (ROC) curve analysis. Results The study included 318 elderly patients with severe COVID-19 of whom 237 (74.5%) were survivors and 81 (25.5%) were non-survivors. The non-survivor group was older and had more comorbidities than the survivor group. The CFS, CCI, APACHE II, SOFA, CURB-65, and MEWS scores were higher in the non-survivor group than in the survivor group. When analyzed using the ROC curve, SOFA score showed the best performance in predicting the prognosis of elderly patients (area under the curve=0.766, P |
| Databáze: | Directory of Open Access Journals |
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