A validation study of UCSD-Mayo risk score in predicting hospital-acquired acute kidney injury in COVID-19 patients. Issue 1 (1st January 2021)

• Record Type: Journal Article
• Authors: Fang, Zhengying; Gao, Chenni; Cai, Yikai; Lu, Lin; Yu, Haijin; Hussain, Hafiz Muhammad Jafar; Chen, Zijin; Li, Chuanlei; Wei, Wenjie; Huang, Yuhan; Li, Xiang; Yu, Shuwen; Ji, Yinhong; Weng, Qinjie; Ouyang, Yan; Hu, Xiaofan; Tong, Jun; Liu, Jian; Liu, Mingyu; Xu, Xiaoman; Zha, Yixin; Ye, Zhiyin; Jiang, Tingting; Jia, Jieshuang; Liu, Jialin; Bi, Yufang; Chen, Nan; Hu, Weiguo; Wang, Huiming; Liu, Jun; Xie, Jingyuan;
• Is Part Of: Renal failure. Volume 43:Issue 1(2021)
• Page Start: 1115
• Page End: 1123
• Publication Date: 2021-01-01
• Subjects: COVID-19 -- proximal tubule -- acute kidney injury -- risk factors; Chronic renal failure -- Periodicals; Acute renal failure -- Periodicals; Uremia -- Periodicals; 616.614005
• DOI: 10.1080/0886022X.2021.1948429
• Languages: English
• ISSNs: 0886-022X

Abstract

Abstract: Introduction: Acute kidney injury (AKI) in coronavirus disease 2019 (COVID-19) patients is associated with poor prognosis. Early prediction and intervention of AKI are vital for improving clinical outcome of COVID-19 patients. As lack of tools for early AKI detection in COVID-19 patients, this study aimed to validate the USCD-Mayo risk score in predicting hospital-acquired AKI in an extended multi-center COVID-19 cohort. Methods: Five hundred seventy-two COVID-19 patients from Wuhan Tongji Hospital Guanggu Branch, Wuhan Leishenshan Hospital, and Wuhan No. Ninth Hospital was enrolled for this study. Patients who developed AKI or reached an outcome of recovery or death during the study period were included. Predictors were evaluated according to data extracted from medical records. Results: Of all patients, a total of 44 (8%) developed AKI. The UCSD-Mayo risk score achieved excellent discrimination in predicting AKI with the C-statistic of 0.88 (95%CI: 0.84–0.91). Next, we determined the UCSD-Mayo risk score had good overall performance (Nagelkerke R 2 = 0.32) and calibration in our cohort. Further analysis showed that the UCSD-Mayo risk score performed well in subgroups defined by gender, age, and several chronic comorbidities. However, the discrimination of the UCSD-Mayo risk score in ICU patients and patients with mechanical ventilation was not good which might be resulted from different risk factors of these patients. Conclusions: We validated the performance of UCSD-Mayo risk score in predicting hospital-acquired AKI in COVID-19 patients was excellent except for patients from ICU or patients with mechanical ventilation.