Literature DB >> 16030030

Renal function, concomitant medication use and outcomes following acute coronary syndromes.

Donal N Reddan1, Lynda Szczech, Manjushri V Bhapkar, David J Moliterno, Robert M Califf, E Magnus Ohman, Peter B Berger, Judith S Hochman, Frans Van de Werf, Robert A Harrington, L Kristin Newby.   

Abstract

BACKGROUND: Chronic kidney disease (CKD) is highly prevalent in patients with cardiovascular disease. We explored the associations of CKD with outcomes using combined data from two large acute coronary syndrome (ACS) trials. We also explored the associations of CKD with prescription patterns for common cardiovascular medications and the association of these prescription patterns with clinical outcomes.
METHODS: Patients were stratified by CKD stage using creatinine clearance (CrCl, ml/min) estimated by the modified MDRD equation using baseline core laboratory creatinine measures. Serum creatinine > or =1.5 mg/dl was an exclusion criterion for the SYMPHONY trials. Baseline characteristics and outcomes across CKD categories were compared and Cox proportional hazards regression was used to assess the relationship of renal insufficiency with clinical outcomes after adjusting for previously identified outcome predictors. Interactions between the use of specific medications and calculated CrCl were tested in the final Cox proportional hazards model predicting time to mortality.
RESULTS: Of 13 707 patients analysed, 6840 had CKD stage I (CrCl > or =90 ml/min), 5909 stage II (CrCl 60-89 ml/min), 955 stage III (CrCl 30-59 ml/min) and three stage IV (CrCl <30 ml/min). Patients with more advanced CKD (III) were older, more often female, non-smokers and more likely to have co-morbid diseases including diabetes mellitus, hypertension and congestive heart failure. Cardiovascular medications were used less frequently in patients with CKD. Unadjusted survival was poorer in patients with CKD stages > or =II. In adjusted analyses, for those with CrCl < or =91, each 10 ml/min increase in CrCl was associated with a significantly decreased risk of mortality (hazards ratio 0.897, 95% confidence interval 0.815-0.986) (P = 0.024). The interaction between use of angiotensin-converting enzyme (ACE) inhibitors and CrCl was significantly associated with outcomes; the benefit of drug therapy was greater among patients with CKD.
CONCLUSIONS: CKD is an independent predictor of risk among ACS patients, and is associated with less frequent use of proven medical therapies. More aggressive use of conventional cardiovascular therapies in patients with CKD and ACS may be warranted.

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Year:  2005        PMID: 16030030     DOI: 10.1093/ndt/gfh981

Source DB:  PubMed          Journal:  Nephrol Dial Transplant        ISSN: 0931-0509            Impact factor:   5.992


  16 in total

1.  Evaluation of the CRUSADE Risk Score for Predicting Major Bleeding in Patients with Concomitant Kidney Dysfunction and Acute Coronary Syndromes.

Authors:  Marianela Sánchez-Martínez; Pedro J Flores-Blanco; Ángel A López-Cuenca; María J Sánchez-Galián; Miriam Gómez-Molina; Francisco Cambronero-Sánchez; Esther Guerrero-Pérez; Mariano Valdés; James L Januzzi; Sergio Manzano-Fernández
Journal:  Cardiorenal Med       Date:  2017-02-17       Impact factor: 2.041

2.  Risk stratification and prognostic value of grace and timi risk scores for female patients with non-st segment elevation acute coronary syndrome.

Authors:  Hang Zhu; Hao Xue; Haotian Wang; Yundai Chen; Shanshan Zhou; Feng Tian; Shunying Hu; Jing Wang; Junjie Yang; Tao Zhang
Journal:  Int J Clin Exp Med       Date:  2015-03-15

3.  Comparison of Risk Prediction With the CKD-EPI and MDRD Equations in Non-ST-Segment Elevation Acute Coronary Syndrome.

Authors:  Pedro J Flores-Blanco; Ángel López-Cuenca; James L Januzzi; Francisco Marín; Marianela Sánchez-Martínez; Miriam Quintana-Giner; Ana I Romero-Aniorte; Mariano Valdés; Sergio Manzano-Fernández
Journal:  Clin Cardiol       Date:  2016-06-01       Impact factor: 2.882

4.  Abnormal asymmetric dimethylarginine/nitric oxide balance in patients with documented coronary artery disease: relation to renal function and homocysteine.

Authors:  Necip Ilhan; Dilara Seckin; Nevin Ilhan; Yilmaz Ozbay
Journal:  J Thromb Thrombolysis       Date:  2007-06       Impact factor: 2.300

5.  The association of chronic kidney disease with the use of renin-angiotensin system inhibitors after acute myocardial infarction.

Authors:  James B Wetmore; Fengming Tang; Abhinav Sharma; Philip G Jones; John A Spertus
Journal:  Am Heart J       Date:  2015-07-26       Impact factor: 4.749

6.  The use of risk scores for stratification of non-ST elevation acute coronary syndrome patients.

Authors:  Ramjane Khalill; Lei Han; Chang Jing; He Quan
Journal:  Exp Clin Cardiol       Date:  2009

7.  Baseline albuminuria predicts the efficacy of blood pressure-lowering drugs in preventing cardiovascular events.

Authors:  Cornelis Boersma; Maarten J Postma; Sipke T Visser; Jarir Atthobari; Paul E de Jong; Lolkje T W de Jong-van den Berg; Ron T Gansevoort
Journal:  Br J Clin Pharmacol       Date:  2008-01-30       Impact factor: 4.335

8.  Clinical outcomes after percutaneous coronary intervention in non-dialysis patients with acute coronary syndrome and advanced renal dysfunction.

Authors:  Yusuke Uemura; Shinji Ishikawa; Kenji Takemoto; Yosuke Negishi; Akihito Tanaka; Kensuke Takagi; Naoyuki Yoshioka; Norio Umemoto; Yosuke Inoue; Itsuro Morishima; Naoki Shibata; Hiroshi Asano; Hideki Ishii; Masato Watarai; Toyoaki Murohara
Journal:  Clin Exp Nephrol       Date:  2020-01-06       Impact factor: 2.801

9.  The association between kidney function, coronary artery disease, and clinical outcome in patients undergoing coronary angiography.

Authors:  Ki Young Na; Chi Weon Kim; Young Rim Song; Ho Joon Chin; Dong-Wan Chae
Journal:  J Korean Med Sci       Date:  2009-01-28       Impact factor: 2.153

10.  TIMI and GRACE Risk Scores Predict Both Short-Term and Long-Term Outcomes in Chinese Patients with Acute Myocardial Infarction.

Authors:  Ying-Hwa Chen; Shao-Sung Huang; Shing-Jong Lin
Journal:  Acta Cardiol Sin       Date:  2018-01       Impact factor: 2.672

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