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Risk Factor Analysis for AKI Including Laboratory Indicators: a Nationwide Multicenter Study of Hospitalized Patients

Authors :
Sasa Nie
Zhe Feng
Li Tang
Xiaolong Wang
Yani He
Jingai Fang
Suhua Li
Yibin Yang
Huijuan Mao
Jundong Jiao
Wenhu Liu
Ning Cao
Wenge Wang
Jifeng Sun
Fengmin Shao
Wenge Li
Qiang He
Hongli Jiang
Hongli Lin
Ping Fu
Xinzhou Zhang
Yinghong Liu
Yonggui Wu
ChunSheng Xi
Meng Liang
Zhijie Qu
Jun Zhu
Guangli Wu
Yali Zheng
Yu Na
Ying Li
Wei Li
Guangyan Cai
Xiangmei Chen
Source :
Kidney & Blood Pressure Research, Vol 42, Iss 5, Pp 761-773 (2017)
Publication Year :
2017
Publisher :
Karger Publishers, 2017.

Abstract

Background/Aims: Risk factor studies for acute kidney injury (AKI) in China are lacking, especially those regarding non-traditional risk factors, such as laboratory indicators. Methods: All adult patients admitted to 38 tertiary and 22 secondary hospitals in China in any one month between July and December 2014 were surveyed. AKI patients were screened according to the Kidney Disease: Improving Global Outcomes’ definition of AKI. Logistic regression was used to analyze the risk factors for AKI, and Cox regression was used to analyze the risk of in-hospital mortality for AKI patients; additionally, a propensity score analysis was used to reconfirm the risk factors among laboratory indicators for mortality. Results: The morbidity of AKI was 0.97%. Independent risk factors for AKI were advancing age, male gender, hypertension, and chronic kidney disease. All-cause mortality was 16.5%. The predictors of mortality in AKI patients were advancing age, tumor, higher uric acid level and increases in Acute Physiologic Assessment and Chronic Health Evaluation II and Sequential Organ Failure Assessment scores. The hazard ratio (HR) for mortality with uric acid levels > 9.1 mg/dl compared with ≤ 5.2 mg/dl was 1.78 (95% CI: 1.23 to 2.58) for the AKI patients as a group, and was 1.73 (95% CI: 1.24 to 2.42) for a propensity score-matched set. Conclusion: In addition to traditional risk factors, uric acid level is an independent predictor of all-cause mortality after AKI.

Details

Language :
English
ISSN :
14204096 and 14230143
Volume :
42
Issue :
5
Database :
Directory of Open Access Journals
Journal :
Kidney & Blood Pressure Research
Publication Type :
Academic Journal
Accession number :
edsdoj.2a3fcfceab6a490296dee15c90f51b58
Document Type :
article
Full Text :
https://doi.org/10.1159/000484234