Literature DB >> 26169887

Comparative Effectiveness of Statin Therapy in Chronic Kidney Disease and Acute Myocardial Infarction: A Retrospective Cohort Study.

David H Smith1, Eric S Johnson2, Denise M Boudreau3, Andrea E Cassidy-Bushrow4, Stephen P Fortmann2, Robert T Greenlee5, Jerry H Gurwitz6, David J Magid7, Catherine J McNeal8, Kristi Reynolds9, Steven R Steinhubl10, Micah Thorp2, Jeffrey O Tom11, Suma Vupputuri12, Jeffrey J VanWormer5, Jessica Weinstein2, Xiuhai Yang2, Alan S Go13, Stephen Sidney14.   

Abstract

BACKGROUND: Whether there is a kidney function threshold to statin effectiveness in patients with acute myocardial infarction is poorly understood. Our study sought to help fill this gap in clinical knowledge.
METHODS: We undertook a new-user cohort study of the effectiveness of statin therapy by level of estimated glomerular filtration rate (eGFR) in adults who were hospitalized for myocardial infarction between 2000 and 2008. Data came from the Cardiovascular Research Network. The primary clinical outcomes were 1-year all-cause mortality and cardiovascular hospitalizations, with adverse outcomes of myopathy and development of diabetes mellitus. We calculated incidence rates, the number needed to treat, and used Cox proportional hazards regression with propensity score matching and adjustment to control for confounding, with testing for variation of effect by level of kidney function.
RESULTS: Compared with statin non-initiators (n = 5583), statin initiators (n = 5597) had a lower propensity score-adjusted risk for death (hazard ratio 0.79; 95% confidence interval [CI], 0.71-0.88) and cardiovascular hospitalizations (hazard ratio 0.90; 95% CI, 0.82-1.00). We found little evidence of variation in effect by level of eGFR (P = .86 for death; P = .77 for cardiovascular hospitalization). Adverse outcomes were similar for statin initiators and statin non-initiators. The number needed to treat to prevent 1 additional death over 1 year of follow-up ranged from 15 (95% CI, 11-28) for eGFR <30 mL/min/1.73 m(2) requiring statin treatment over 2 years to prevent 1 additional death, to 67 (95% CI, 49-118) for patients with eGFR >90 mL/min/1.73 m(2).
CONCLUSIONS: Our findings suggest that there is potential for important public health gains by increasing the routine use of statin therapy for patients with lower levels of kidney function.
Copyright © 2015 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Chronic kidney disease; Comparative effectiveness; Statins; eGFR

Mesh:

Substances:

Year:  2015        PMID: 26169887      PMCID: PMC4624042          DOI: 10.1016/j.amjmed.2015.06.030

Source DB:  PubMed          Journal:  Am J Med        ISSN: 0002-9343            Impact factor:   4.965


  31 in total

Review 1.  Calculating the number needed to treat for trials where the outcome is time to an event.

Authors:  D G Altman; P K Andersen
Journal:  BMJ       Date:  1999-12-04

2.  Positive predictive value of ICD-9 codes 410 and 411 in the identification of cases of acute coronary syndromes in the Saskatchewan Hospital automated database.

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Journal:  Pharmacoepidemiol Drug Saf       Date:  2008-08       Impact factor: 2.890

Review 3.  Vascular calcification in uremia: what is new and where are we going?

Authors:  Ziyad Al-Aly
Journal:  Adv Chronic Kidney Dis       Date:  2008-10       Impact factor: 3.620

4.  Building a virtual cancer research organization.

Authors:  Mark C Hornbrook; Gene Hart; Jennifer L Ellis; Donald J Bachman; Gary Ansell; Sarah M Greene; Edward H Wagner; Roy Pardee; Mark M Schmidt; Ann Geiger; Amy L Butani; Terry Field; Hassan Fouayzi; Irina Miroshnik; Liyan Liu; Robert Diseker; Karen Wells; Rick Krajenta; Lois Lamerato; Christine Neslund Dudas
Journal:  J Natl Cancer Inst Monogr       Date:  2005

5.  Statins and risk of incident diabetes: a collaborative meta-analysis of randomised statin trials.

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Journal:  Lancet       Date:  2010-02-16       Impact factor: 79.321

6.  Therapeutic management in patients with renal failure who experience an acute coronary syndrome.

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7.  Statin adherence and risk of accidents: a cautionary tale.

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Journal:  Circulation       Date:  2009-04-06       Impact factor: 29.690

8.  High-dimensional propensity score adjustment in studies of treatment effects using health care claims data.

Authors:  Sebastian Schneeweiss; Jeremy A Rassen; Robert J Glynn; Jerry Avorn; Helen Mogun; M Alan Brookhart
Journal:  Epidemiology       Date:  2009-07       Impact factor: 4.822

9.  Rosuvastatin and cardiovascular events in patients undergoing hemodialysis.

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Journal:  N Engl J Med       Date:  2009-03-30       Impact factor: 91.245

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

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