Relationship between serum homocysteine levels and contrast induced nephropathy after coronary angiography
10.3969/j.issn.1004-8812.2017.03.005
- VernacularTitle:血清同型半胱氨酸与冠状动脉造影术后对比剂肾病的相关性研究
- Author:
Min AI
;
Guangxue LIU
;
Changfu YAN
;
Fuchun XIA
;
Shuanglu ZHOU
;
Jian HE
- Keywords:
Coronary angiography;
Contrast induced nephropathy;
Homocysteine;
Creatinine;
Endogenous creatinine clearance rate
- From:
Chinese Journal of Interventional Cardiology
2017;25(3):144-148
- CountryChina
- Language:Chinese
-
Abstract:
Objective To explore the relationship between serum homocysteine (Hcy) level before coronary angiography(CAG) and contrast induced nephropathy (CIN) after CAG.Methods We included 2264 cases of suspected coronary heart disease from May 2013 to May 2016 and all patients received CAG examination.According to whether CIN has developed or not after CAG, the patients were divided into the non-CIN group (n=2162) and the CIN group (n=102).We analyzed and compared the clinical baseline data, serum Hcy and creatinine (Cr) levels and the estimated glomerular filtration rate between the 2 groups eGFR.Results Patients in the non-CIN group were younger and with less comorbidities of diabetes and chronic kidney disease (all P<0.05).The volume of contrast media consumed in the non-CIN group was less than the CIN group [(122±21)ml vs.(147±24)ml, P=0.012).Hcy level in the non-CIN group (12.81±6.71) μmol/L was lower than that in the CIN group (21.74±11.9)μmol/L before CAG (P<0.05).No significant differences in serum Cr level and eGFR before CAG (P>0.05).At 72 hours after CAG, Cr level of the non-CIN group (69.34±19.54 μmol/L) was lower than that of the CIN group (87.34±21.38) μmol/L (P<0.05).eGFR was higher in the non-CIN group (79.34±19.54)ml/min than that in the CIN group (67.34±21.38)ml/min (P<0.05).Linear regression analysis showed that Hcy level before CAG were positively correlated with Cr level after CAG (r=0.547,P<0.01) and negatively correlated with eGFR after CAG (r=-0.271,P<0.01).Conclusions Hcy level before CAG can be used as one of an effective parameter to predict CIN.
