Two acute kidney injury risk scores for critically ill cancer patients undergoing non-cardiac surgery
10.5847/wjem.j.issn.1920-8642.2012.04.007
- Author:
Xue-Zhong XING
1
;
Hai-Jun WANG
;
Chu-Lin HUANG
;
Quan-Hui YANG
;
Shi-Ning QU
;
Hao ZHANG
;
Hao WANG
;
Yong GAO
;
Qing-Ling XIAO
;
Ke-Lin SUN
Author Information
1. Department of Intensive Care Unit
- Keywords:
Risk factor;
Acute kidney injury;
Surgery
- From:
World Journal of Emergency Medicine
2012;3(4):278-281
- CountryChina
- Language:Chinese
-
Abstract:
BACKGROUND: Several risk scoures have been used in predicting acute kidney injury (AKI) of patients undergoing general or specific operations such as cardiac surgery. This study aimed to evaluate the use of two AKI risk scores in patients who underwent non-cardiac surgery but required intensive care. METHODS: The clinical data of patients who had been admitted to ICU during the first 24 hours of ICU stay between September 2009 and August 2010 at the Cancer Institute, Chinese Academy of Medical Sciences & Peking Union Medical College were retrospectively collected and analyzed. AKI was diagnosed based on the acute kidney injury network (AKIN) criteria. Two AKI risk scores were calculated: Kheterpal and Abelha factors. RESULTS: The incidence of AKI was 10.3％. Patients who developed AKI had a increased ICU mortality of 10.9％ vs. 1.0％ and an in-hospital mortality of 13.0 vs. 1.5％, compared with those without AKI. There was a significant difference between the classification of Kheterpal's AKI risk scores and the occurrence of AKI (P<0.001). There was no significant difference between the number of Abelha's AKI risk scores and the occurrence of AKI (P=0.499). Receiver operating characteristic curves demonstrated an area under the curve of 0.655±0.043 (P=0.001, 95％ confidence interval: 0.571–0.739) for Kheterpal's AKI risk score and 0.507±0.044 (P=0.879, 95％ confidence interval: 0.422–0.592) for Abelha's AKI risk score. CONCLUSION: Kheterpal's AKI risk scores are more accurate than Abelha's AKI risk scores in predicting the occurrence of AKI in patients undergoing non-cardiac surgery with moderate predictive capability.
