Literature DB >> 16761308

The comparative safety of rosuvastatin: a retrospective matched cohort study in over 48,000 initiators of statin therapy.

Andrew T McAfee1, Eileen E Ming, John D Seeger, Sherry G Quinn, Eva W Ng, Jared D Danielson, Jennifer A Cutone, Jonathan C Fox, Alexander M Walker.   

Abstract

PURPOSE: The purpose of this study was to compare incidence rates of hospitalization associated with rhabdomyolysis, myopathy, renal, or hepatic dysfunction, and of in-hospital death, between initiators of rosuvastatin and other statins.
METHODS: This was a matched cohort study of statin initiators from the administrative database of a large health insurer in the US, during the first 6 months of rosuvastatin availability with up to 18 months of follow-up. All outcome events were verified by medical record review. Incidence rates, risk ratios, and associated 95% confidence intervals were estimated.
RESULTS: From an initial pool of 12,217, 11,249 eligible rosuvastatin initiators were matched to 37,282 initiators of other statins. The incidence rate (IR) per 1000 person-years for rhabdomyolysis was 0.10 [0.00, 0.55] for rosuvastatin initiators (n = 1) and 0.06 [0.01, 0.22] for other statin initiators (n = 2), for a hazard ratio (HR) of 1.98 [0.18, 21.90]. The IR for myopathy was 0.20 [0.02, 0.71] for rosuvastatin initiators (n = 2) and 0.00 [0.00, 0.09] for other statin initiators (n = 0). The IR for renal dysfunction was 1.18 [0.61, 2.06] for rosuvastatin initiators (n = 12) and 1.26 [0.91, 1.71] for other statin initiators (n = 42), for a HR of 0.90 [0.47, 1.73]. The IR for hepatic dysfunction was 0.20 (0.02, 0.71) for rosuvastatin initiators (n = 2) and 0.24 (0.10, 0.47) for other statin initiators (n = 8), for a HR of 0.87 (0.18, 4.14).
CONCLUSIONS: This study found no difference between rosuvastatin and the other statins in the incidence of hospitalizations associated with renal or hepatic events, or death. The absolute incidence rates of rhabdomyolysis and myopathy were reassuringly low among all statin initiators but remain too small for firm conclusions to be drawn on any difference between the statins. Copyright (c) 2006 John Wiley & Sons, Ltd.

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Year:  2006        PMID: 16761308     DOI: 10.1002/pds.1281

Source DB:  PubMed          Journal:  Pharmacoepidemiol Drug Saf        ISSN: 1053-8569            Impact factor:   2.890


  13 in total

1.  Covariate selection in high-dimensional propensity score analyses of treatment effects in small samples.

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Journal:  Pharmacoepidemiol Drug Saf       Date:  2012-03-16       Impact factor: 2.890

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Authors:  Aaron J Katz; Patrick B Ryan; Judith A Racoosin; Paul E Stang
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4.  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

5.  Rosuvastatin and atorvastatin: comparative effects on glucose metabolism in non-diabetic patients with dyslipidaemia.

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Journal:  Clin Med Insights Endocrinol Diabetes       Date:  2012-02-20

6.  Long-term use of rosuvastatin: a critical risk benefit appraisal and comparison with other antihyperlipidemics.

Authors:  Leonardo Calza
Journal:  Drug Healthc Patient Saf       Date:  2009-08-28

7.  Comparison of the efficacy and safety of rosuvastatin 10 mg and atorvastatin 20 mg in high-risk patients with hypercholesterolemia--Prospective study to evaluate the Use of Low doses of the Statins Atorvastatin and Rosuvastatin (PULSAR).

Authors:  Michael B Clearfield; John Amerena; Jean-Pierre Bassand; Hugo R Hernández García; Sam S Miller; Froukje F M Sosef; Michael K Palmer; Brian S Bryzinski
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Review 8.  Clinical efficacy and safety of statins in managing cardiovascular risk.

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9.  Polypharmacy and adverse drug reactions in Japanese elderly taking antihypertensives: a retrospective database study.

Authors:  Izumi Sato; Manabu Akazawa
Journal:  Drug Healthc Patient Saf       Date:  2013-06-24

10.  Active safety monitoring of newly marketed medications in a distributed data network: application of a semi-automated monitoring system.

Authors:  J J Gagne; R J Glynn; J A Rassen; A M Walker; G W Daniel; G Sridhar; S Schneeweiss
Journal:  Clin Pharmacol Ther       Date:  2012-05-16       Impact factor: 6.875

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