RT Journal Article
T1 Validation of the Barthel Index as a Predictor of In-Hospital Mortality among COVID-19 Patients
A1 Mateos Arroyo, Julio Alberto
A1 Zaragoza García, Ignacio
A1 Sánchez Gómez, Rubén
A1 Posada Moreno, María Paloma
A1 Ortuño Soriano, Ismael
AB In order to predict the high mortality due to COVID-19, simple, useful and remote instruments are required. To assess the validity of the baseline Barthel Index score as a predictor of in-hospital mortality among COVID-19 patients, a validation study of a clinical prediction tool in a cohort of patients with COVID-19 was conducted. The primary variable was mortality and the Barthel Index was the main explanatory variable. Demographic, clinical and laboratory variables were collected. Other mortality predictor scores were also assessed: Pneumonia Severity Index, CURB-65 and A-DROP. The Receiver Operating Characteristic Area under the Curve (ROC AUC), sensitivity and specificity were calculated for both the Barthel Index and the other predictor scores. An analysis of the association between the main variables was conducted, adjusting by means of three multivariate models. Three hundred and twelve patients were studied. Mortality was 16.4%. A mortality Odds Ratio (OR) of 5.95 was associated with patients with a Barthel Index ≤ 90. The model number 3 was developed to predict in-hospital mortality before COVID-19 infection occurs. It exhibits an OR of 3.44, a ROC AUC of 0.792, a sensitivity of 74.5% and a specificity of 73.9%. The Baseline Barthel Index proved useful in our population as a predictor of in-hospital mortality due to COVID-19.
PB MDPI
SN 2227-9032
YR 2023
FD 2023-05-06
LK https://hdl.handle.net/20.500.14352/118984
UL https://hdl.handle.net/20.500.14352/118984
LA eng
NO Mateos-Arroyo JA, Zaragoza-García I, Sánchez-Gómez R, Posada-Moreno P, Ortuño-Soriano I. Validation of the Barthel Index as a Predictor of In-Hospital Mortality among COVID-19 Patients. Healthcare (Switzerland). 2023;11(9).
DS Docta Complutense
RD 1 abr 2025