Literature DB >> 29896264

Effects of hyperglycaemia and elevated glycosylated haemoglobin on contrast-induced nephropathy after coronary angiography.

Yu-Han Qin1, Gao-Liang Yan2, Chang-Le Ma1, Cheng-Chun Tang2, Gen-Shan Ma2.   

Abstract

In patients undergoing percutaneous coronary intervention after acute myocardial infarction, hyperglycaemia on admission is associated with an increased risk of contrast-induced nephropathy (CIN). However, the effects of hyperglycaemia and elevated glycosylated haemoglobin (HbA1c) on CIN have remained to be fully elucidated. Therefore, a prospective cohort study was performed, comprising 258 patients who underwent coronary angiography between May 2017 and November 2017 at Zhongda Hospital affiliated with Southeast University (Nanjing, China). According to the diagnostic criteria for CIN (increase of serum creatinine by >44.2 µmol/l or by 25% within 48-72 h of using contrast agent), the patients were divided into two groups: CIN (45 cases) and non-CIN (213 cases). For all patients, the baseline data, medical history, laboratory parameters, medication history and intraoperative situation were recorded and assessed using single-factor analysis and multiple logistic regression analysis to analyse the risk factors of CIN. The incidence of CIN in the hyperglycaemia group (blood glucose on admission, >11.1 mmol/l) was 25%, compared with 13.8% in the non-hyperglycaemia group (P=0.026). Furthermore, the incidence of CIN in the elevated HbA1c group (HbA1c on admission, upper limit of normal) was 26.1%, compared with 14.3% in the group without elevated HbA1c (P=0.027). Hyperglycaemia was present on hospital admission in 84 of 258 patients (32.6%). The percentage of patients with elevated HbA1c was 26.7%. Age, estimated glomerular filtration rate, pre-operative blood cholesterol, hyperglycaemia on admission and elevated HbA1c were all identified to be associated with CIN. According to the multivariate logistic regression analysis, hyperglycaemia was an independent predictor of CIN (odds ratio, 2.815; 95% confidence interval, 1.042-4.581; P=0.029). In the acute coronary syndrome (ACS) and diabetes subgroups, hyperglycaemia was significantly associated with CIN. In the ACS subgroup, the incidence of CIN was 38.1%. It was indicated that hyperglycaemia is an independent risk factor for CIN, particularly in patients with ACS or diabetes. Trial registration no. ChiCTR-OOC-17011466.

Entities:  

Keywords:  contrast-induced nephropathy; glycosylated haemoglobin; hyperglycaemia

Year:  2018        PMID: 29896264      PMCID: PMC5995054          DOI: 10.3892/etm.2018.6183

Source DB:  PubMed          Journal:  Exp Ther Med        ISSN: 1792-0981            Impact factor:   2.447


  22 in total

1.  Tests of glycemia in diabetes.

Authors:  David E Goldstein; Randie R Little; Rodney A Lorenz; John I Malone; David M Nathan; Charles M Peterson
Journal:  Diabetes Care       Date:  2004-01       Impact factor: 19.112

2.  Acute renal failure after coronary intervention: incidence, risk factors, and relationship to mortality.

Authors:  P A McCullough; R Wolyn; L L Rocher; R N Levin; W W O'Neill
Journal:  Am J Med       Date:  1997-11       Impact factor: 4.965

3.  Contrast-induced nephrotoxicity: possible synergistic effect of stress hyperglycemia.

Authors:  David H O'Donnell; Michael A Moloney; David J Bouchier-Hayes; Michael J Lee
Journal:  AJR Am J Roentgenol       Date:  2010-07       Impact factor: 3.959

4.  High blood glucose concentration is a risk factor for mortality in middle-aged nondiabetic men. 20-year follow-up in the Whitehall Study, the Paris Prospective Study, and the Helsinki Policemen Study.

Authors:  B Balkau; M Shipley; R J Jarrett; K Pyörälä; M Pyörälä; A Forhan; E Eschwège
Journal:  Diabetes Care       Date:  1998-03       Impact factor: 19.112

5.  Acute hyperglycemia and contrast-induced nephropathy in primary percutaneous coronary intervention.

Authors:  Giancarlo Marenzi; Monica De Metrio; Mara Rubino; Gianfranco Lauri; Annalisa Cavallero; Emilio Assanelli; Marco Grazi; Marco Moltrasio; Ivana Marana; Jeness Campodonico; Andrea Discacciati; Fabrizio Veglia; Antonio L Bartorelli
Journal:  Am Heart J       Date:  2010-12       Impact factor: 4.749

6.  The incidence and predictors of contrast-induced nephropathy in adequately hydrated elderly patients with impaired renal function.

Authors:  Kyung Woo Park; Bon-Kwon Koo; Hack-Lyoung Kim; Yong-Seok Kim; Sang-Ho Jo; Hae-Young Lee; Hyun-Jae Kang; Young-Suk Cho; Woo-Young Chung; Tae-Jin Yeon; In-Ho Chae; Dong-Joo Choi; Hyo-Soo Kim; Byung-Hee Oh; Young-Bae Park
Journal:  Nephrol Dial Transplant       Date:  2007-02-26       Impact factor: 5.992

Review 7.  Contrast medium-induced nephropathy: the pathophysiology.

Authors:  P B Persson; M Tepel
Journal:  Kidney Int Suppl       Date:  2006-04       Impact factor: 10.545

Review 8.  Contrast-induced acute kidney injury and risk of adverse clinical outcomes after coronary angiography: a systematic review and meta-analysis.

Authors:  Matthew T James; Susan M Samuel; Megan A Manning; Marcello Tonelli; William A Ghali; Peter Faris; Merril L Knudtson; Neesh Pannu; Brenda R Hemmelgarn
Journal:  Circ Cardiovasc Interv       Date:  2013-01-15       Impact factor: 6.546

9.  Meta-analysis: glycosylated hemoglobin and cardiovascular disease in diabetes mellitus.

Authors:  Elizabeth Selvin; Spyridon Marinopoulos; Gail Berkenblit; Tejal Rami; Frederick L Brancati; Neil R Powe; Sherita Hill Golden
Journal:  Ann Intern Med       Date:  2004-09-21       Impact factor: 25.391

10.  A new equation to estimate glomerular filtration rate.

Authors:  Andrew S Levey; Lesley A Stevens; Christopher H Schmid; Yaping Lucy Zhang; Alejandro F Castro; Harold I Feldman; John W Kusek; Paul Eggers; Frederick Van Lente; Tom Greene; Josef Coresh
Journal:  Ann Intern Med       Date:  2009-05-05       Impact factor: 25.391

View more
  6 in total

1.  Comparison of Four Machine Learning Techniques for Prediction of Intensive Care Unit Length of Stay in Heart Transplantation Patients.

Authors:  Kan Wang; Li Zhao Yan; Wang Zi Li; Chen Jiang; Ni Ni Wang; Qiang Zheng; Nian Guo Dong; Jia Wei Shi
Journal:  Front Cardiovasc Med       Date:  2022-06-21

2.  Development and Validation of a Risk Nomogram Model for Predicting Contrast-Induced Acute Kidney Injury in Patients with Non-ST-Elevation Acute Coronary Syndrome Undergoing Primary Percutaneous Coronary Intervention.

Authors:  Kai Ma; Jing Li; Guoqi Shen; Di Zheng; Yongli Xuan; Yuan Lu; Wenhua Li
Journal:  Clin Interv Aging       Date:  2022-01-26       Impact factor: 4.458

3.  Glycemic variability as predictor of contrast-induced nephropathy in diabetic patients with acute myocardial infarction undergoing percutaneous coronary intervention.

Authors:  Pengfei Zuo; Yongjun Li; Zhi Zuo; Xin Wang; Genshan Ma
Journal:  Ann Transl Med       Date:  2020-11

4.  Implications of Malnutrition on Contrast-Associated Acute Kidney Injury in Young and Old Patients Undergoing Percutaneous Coronary Intervention: A Multicenter Prospective Cohort.

Authors:  Jingjing Liang; Lingyu Zhang; Zhidong Huang; Yibo He; Yihang Ling; Kai Chen; Ming Ying; Mengfei Lin; Guode Li; Jin Liu; Yong Liu; Yan Liang; Shiqun Chen; Yunzhao Hu
Journal:  Front Nutr       Date:  2022-02-08

5.  Glycosylated hemoglobin levels and the risk for contrast-induced nephropathy in diabetic patients undergoing coronary arteriography/percutaneous coronary intervention.

Authors:  H Zhang; H Fu; X Fu; J Zhang; P Zhang; S Yang; Z Zeng; N Fu; Z Guo
Journal:  BMC Nephrol       Date:  2021-06-02       Impact factor: 2.388

6.  Malnutrition and the risk for contrast-induced acute kidney injury in patients with coronary artery disease.

Authors:  Liling Chen; Zhidong Huang; Weiguo Li; Yibo He; Jingjing Liang; Jin Lu; Yanfang Yang; Haozhang Huang; Yihang Lin; Rongwen Lin; Mengfei Lin; Yan Liang; Yunzhao Hu; Jianfeng Ye; Yuying Hu; Jin Liu; Yong Liu; Yong Fang; Kaihong Chen; Shiqun Chen
Journal:  Int Urol Nephrol       Date:  2021-06-25       Impact factor: 2.370

  6 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.