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Age, estimated glomerular filtration rate and ejection fraction score predicts contrast-induced acute kidney injury in patients with diabetes and chronic kidney disease: insight from the TRACK-D study
Alternative TitleAge, estimated glomerular filtration rate and ejection fraction score predicts contrast-induced acute kidney injury in patients with diabetes and chronic kidney disease: insight from the TRACK-D study
Li Jing1; Li Yi1; Wang Xiaozeng1; Yang Shuguang2; Gao Chuanyu3; Zhang Zheng4; Yang Chengming5; Jing Quanming1; Wang Shouli7; Ma Yingyan1; Wang Zulu1; Liang Yanchun1; Han Yaling1
2014
Source PublicationCHINESE MEDICAL JOURNAL
ISSN0366-6999
Volume127Issue:12Pages:2332-2336
AbstractBackground The occurrence of contrast induced acute kidney injury (CIAKI) has a pronounced impact on morbidity and mortality. The aim of the present study was to appraise the diagnostic efficacy of age, estimated glomerular filtration rate (eGFR) and ejection fraction (AGEF) score (age/EF(%)+1 (if eGFR was 1.16 (n=992). The incidence of CIAKI was significantly different in patients with low, middle and high AGEF scores (AGEF(low)=1.1%, AGEF(mid)=2.3% and AGEF(high)=5.8%, P <0.001). By multivariate analysis, AGEF score was an independent predictor of CIAKI (odds ratio=4.96, 95% Cl: 2.32-10.58, P <0.01). ROC analysis showed that the area under the curve was 0.70 (95% CI: 0.648-0.753, P <0.001).
Other AbstractBackground The occurrence of contrast induced acute kidney injury (CIAKI) has a pronounced impact on morbidity and mortality.The aim of the present study was to appraise the diagnostic efficacy of age, estimated glomerular filtration rate (eGFR) and ejection fraction (AGEF) score (age/EF(%)+1 (if eGFR was 1.16 (n=992).The incidence of CIAKI was significantly different in patients with low, middle and high AGEF scores (AGEF_(low)=1.1%, AGEF_(mid)=2.3% and AGEF_(high)=5.8%, P<0.001).By multivariate analysis, AGEF score was an independent predictor of CIAKI (odds ratio=4.96, 95% CI: 2.32-10.58, P<0.01).ROC analysis showed that the area under the curve was 0.70 (95% CI: 0.648-0.753, P<0.001).Conclusion The AGEF score is effective for stratifying risk of CIAKI in patients with DM and CKD undergoing coronary/ peripheral arterial angiography.(Clinical Trial identifier: NCT00786136).
KeywordPERCUTANEOUS CORONARY INTERVENTION INDUCED NEPHROPATHY RISK PREVENTION CREATININE EQUATION EVENTS AGEF score contrast induced acute kidney injury diabetes chronic kidney disease
Indexed ByCSCD
Language英语
Funding Project[Key technologies R&D project of Liaoning Province] ; [Key Project of National 12th Five-Year Research Program of China]
CSCD IDCSCD:5173793
Citation statistics
Cited Times:1[CSCD]   [CSCD Record]
Document Type期刊论文
Identifierhttp://ir.imr.ac.cn/handle/321006/151878
Collection中国科学院金属研究所
Affiliation1.中国科学院金属研究所
2.Jinan Mil 88th Hosp, Department Cardiol, Tai An 271000, Shandong, Peoples R China
3.Henan Prov Peoples Hosp, Department Cardiol, Zhengzhou 450003, Henan, Peoples R China
4.兰州大学
5.Third Mil Med University, Daping Hosp, Dept Cardiol, Chongqing 400038, Peoples R China
6.Third Mil Med Univ, Institute Surg Res, Chongqing 400038, Peoples R China
7.Peoples Liberat Army, Hosp 306, Department Cardiol, Beijing 10000, Peoples R China
Recommended Citation
GB/T 7714
Li Jing,Li Yi,Wang Xiaozeng,et al. Age, estimated glomerular filtration rate and ejection fraction score predicts contrast-induced acute kidney injury in patients with diabetes and chronic kidney disease: insight from the TRACK-D study[J]. CHINESE MEDICAL JOURNAL,2014,127(12):2332-2336.
APA Li Jing.,Li Yi.,Wang Xiaozeng.,Yang Shuguang.,Gao Chuanyu.,...&Han Yaling.(2014).Age, estimated glomerular filtration rate and ejection fraction score predicts contrast-induced acute kidney injury in patients with diabetes and chronic kidney disease: insight from the TRACK-D study.CHINESE MEDICAL JOURNAL,127(12),2332-2336.
MLA Li Jing,et al."Age, estimated glomerular filtration rate and ejection fraction score predicts contrast-induced acute kidney injury in patients with diabetes and chronic kidney disease: insight from the TRACK-D study".CHINESE MEDICAL JOURNAL 127.12(2014):2332-2336.
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