Unknown

Dataset Information

0

Evaluation of the Risk Prediction Tools for Patients With Coronavirus Disease 2019 in Wuhan, China: A Single-Centered, Retrospective, Observational Study.


ABSTRACT: OBJECTIVES:To evaluate and compare the efficacy of National Early Warning Score, National Early Warning Score 2, Rapid Emergency Medicine Score, Confusion, Respiratory rate, Blood pressure, Age 65 score, and quick Sepsis-related Organ Failure Assessment on predicting in-hospital death in patients with coronavirus disease 2019. DESIGN:A retrospective, observational study. SETTING:Single center, West Campus of Wuhan Union hospital-a temporary center to manage critically ill patients with coronavirus disease 2019. PATIENTS:A total of 673 consecutive adult patients with coronavirus disease 2019 between January 30, 2020, and March 14, 2020. INTERVENTIONS:None. MEASUREMENTS AND MAIN RESULTS:Data on demography, comorbidities, vital signs, mental status, oxygen saturation, and use of supplemental oxygen at admission to the ward were collected from medical records and used to score National Early Warning Score, National Early Warning Score 2, Rapid Emergency Medicine Score, Confusion, Respiratory rate, Blood pressure, Age 65 score, and quick Sepsis-related Organ Failure Assessment. Total number of patients was 673 (51% male) and median (interquartile range) age was 61 years (50-69 yr). One-hundred twenty-one patients died (18%). For predicting in-hospital death, the area under the receiver operating characteristics (95% CI) for National Early Warning Score, National Early Warning Score 2, Rapid Emergency Medicine Score, Confusion, Respiratory rate, Blood pressure, Age 65 score, and quick Sepsis-related Organ Failure Assessment were 0.882 (0.847-0.916), 0.880 (0.845-0.914), 0.839 (0.800-0.879), 0.766 (0.718-0.814), and 0.694 (0.641-0.746), respectively. Among the parameters of National Early Warning Score, the oxygen saturation score was found to be the most significant predictor of in-hospital death. The area under the receiver operating characteristic (95% CI) for oxygen saturation score was 0.875 (0.834-0.916). CONCLUSIONS:In this single-center study, the discrimination of National Early Warning Score/National Early Warning Score 2 for predicting mortality in patients with coronavirus disease 2019 admitted to the ward was found to be superior to Rapid Emergency Medicine Score, Confusion, Respiratory rate, Blood pressure, Age 65 score, and quick Sepsis-related Organ Failure Assessment. Peripheral oxygen saturation could independently predict in-hospital death in these patients. Further validation of our finding in multiple settings is needed to determine its applicability for coronavirus disease 2019.

SUBMITTER: Liu FY 

PROVIDER: S-EPMC7448719 | biostudies-literature | 2020 Aug

REPOSITORIES: biostudies-literature

altmetric image

Publications

Evaluation of the Risk Prediction Tools for Patients With Coronavirus Disease 2019 in Wuhan, China: A Single-Centered, Retrospective, Observational Study.

Liu Fang-Yan FY   Sun Xue-Lian XL   Zhang Yong Y   Ge Lin L   Wang Jing J   Liang Xiao X   Li Jun-Fen JF   Wang Chang-Liang CL   Xing Zheng-Tao ZT   Chhetri Jagadish K JK   Sun Peng P   Chan Piu P  

Critical care medicine 20201101 11


<h4>Objectives</h4>To evaluate and compare the efficacy of National Early Warning Score, National Early Warning Score 2, Rapid Emergency Medicine Score, Confusion, Respiratory rate, Blood pressure, Age 65 score, and quick Sepsis-related Organ Failure Assessment on predicting in-hospital death in patients with coronavirus disease 2019.<h4>Design</h4>A retrospective, observational study.<h4>Setting</h4>Single center, West Campus of Wuhan Union hospital-a temporary center to manage critically ill p  ...[more]

Similar Datasets

| S-EPMC7485711 | biostudies-literature
| S-EPMC7880373 | biostudies-literature
| S-EPMC9446153 | biostudies-literature
| S-EPMC7159299 | biostudies-literature
| S-EPMC7149362 | biostudies-literature
| S-EPMC7188494 | biostudies-literature
| S-EPMC7542568 | biostudies-literature
| S-EPMC7225215 | biostudies-literature
| S-EPMC7102538 | biostudies-literature