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Value of Kidney Disease Improving Global Outcomes Urine Output Criteria in Critically III Patients: A Secondary Analysis of a Multicenter Prospective Cohort Study 被引量:1
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作者 Jun-Ping Qin Xiang-You Yu +20 位作者 Chuan-Yun Qian Shu-Sheng Li Tie-He Qin Er-Zhen Chen Jian-Dong Lin Yu-Hang Ai Da-Wei Wu De-Xin Liu Ren-Hua Sun Zhen-Jie Hu Xiang-Yuan Cao Fa-Chun Zhou zhen-yang he Li-Hua Zhou You-Zhong An Yan Kang Xiao-Chun Ma Ming-Yan Zhao Li Jiang Yuan Xu Bin Du 《Chinese Medical Journal》 SCIE CAS CSCD 2016年第17期2050-2057,共8页
Background: Urine output (UO) is an essential criterion of the Kidney Disease Improving Global Outcomes (KD1GO) definition and classification system tbr acute kidney injury (AKI), of which the diagnostic value ... Background: Urine output (UO) is an essential criterion of the Kidney Disease Improving Global Outcomes (KD1GO) definition and classification system tbr acute kidney injury (AKI), of which the diagnostic value has not been extensively studied. We aimed to determine whether AKI based on KDIGO UO criteria (KDtGOLro) could improve the diagnostic and prognostic accuracy, compared with KDIGO serum creatinine criteria (KDIGOscr).Methods: We conducted a secondary analysis of the database of a previous study conducted by China Critical Care Clinical Trial Group (CCCCTG), which was a 2-month prospective cohort study (July 1,2009 to August 31,2009) involving 3063 patients in 22 tertiary Intensive Care Units in Mainland of China. AKI was diagnosed and classified separately based on KDIGOt,o and KDlGOsc,. Hospital mortality of patients with more severe AKI classification based on KDIGOvo was compared with other patients by univariate and multivariate regression analyses. Results: The prevalence of AKl increased from 52.4% based on KDIGOscr to 55.4% based on KD1GOsc~ combined with KDIGOuo. KDIGOv~~ also restllted in an upgrade of AKI classification in 7.3% of patients, representing those with more severe AK1 classification based on KDIGOvo. Compared with non-AKI patients or those with maximum AKI classification by KDIGOscr, those with maximum AKI classification by KDIGOuo had a significantly higher hospital mortality of 58.4% (odds ratio [OR]: 7.580, 95% confidence interval [CI]: 4.141-13.873, P 〈 0.001). In a multivariate logistic regression analysis, AKI based on KDIGOuo (OR: 2.891, 95% CI: 1.964-4.254, P 〈 0.001), but not based on KDIGOscr (OR: 1.322, 95% CI: 0.902-1.939, P = 0.152), was an independent risk factor for hospital mortality. Conclusion: UO was a criterion with additional value beyond creatinine criterion for AKI diagnosis and classification, which can help identify a group of patients with high risk of death. 展开更多
关键词 Acute Kidney Injury Critically Ill MORTALITY Serum Creatinine Urine Output
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