Literature DB >> 20211305

Propranolol and the risk of hospitalized myopathy: translating chemical genomics findings into population-level hypotheses.

Soko Setoguchi1, John M Higgins, Helen Mogun, Vamsi K Mootha, Jerry Avorn.   

Abstract

BACKGROUND: A recent large-scale, chemical screening study raised the hypothesis that propranolol may increase the risk of myopathy. We tested this hypothesis in a large population to assess whether (1) propranolol use is associated with an increased risk of myopathy and (2) the concurrent use of propranolol with a statin may further increase risk of myopathy.
METHODS: New users of propranolol and other beta-blockers (BBs) aged >/=65 were identified using data from Medicare and drug benefit programs in 2 states (1994-2005). The primary end point studied was hospitalization for myopathy or rhabdomyolysis. We used stratified Cox proportional hazards regression to estimate the multivariate-adjusted effect of propranolol compared to other BBs and controlled for demographic variables, risk factors for myopathy, other comorbidities, and health service use measures. We also assessed whether co-use of propranolol and statin further increases the risk, by including an interaction term for use of propranolol and statins.
RESULTS: We identified 9,304 initiators of propranolol and 130,070 initiators of other BBs and found 30 cases of hospitalized myopathy in 15,477 person-years (PYs) of propranolol use and 523 in 343,132 PYs of other BB use. Comparing propranolol with other BB users, the adjusted hazard ratio was 1.45 (95% CI 1.00-2.11) for myopathy and 1.48 (95% CI 0.82-2.67) for rhabdomyolysis. We could not detect interaction between propranolol and statins due to limited power. Similar results were observed when propranolol users were compared to other antihypertensive drug users.
CONCLUSIONS: Propranolol may be associated with a 45% increased risk of hospitalized myopathy in the elderly. Our study illustrates how results from in vitro chemical screens can be translated into hypotheses about drug toxicity at the population level.

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Year:  2010        PMID: 20211305     DOI: 10.1016/j.ahj.2009.12.008

Source DB:  PubMed          Journal:  Am Heart J        ISSN: 0002-8703            Impact factor:   4.749


  2 in total

1.  A small-molecule screening strategy to identify suppressors of statin myopathy.

Authors:  Bridget K Wagner; Tamara J Gilbert; Jun-ichi Hanai; Shintaro Imamura; Nicole E Bodycombe; Robin S Bon; Herbert Waldmann; Paul A Clemons; Vikas P Sukhatme; Vamsi K Mootha
Journal:  ACS Chem Biol       Date:  2011-07-15       Impact factor: 5.100

2.  Rhabdomyolysis in a patient taking nebivolol.

Authors:  Ye Jin Kim; Hae Ri Kim; Hong Jae Jeon; Hyun Jun Ju; Sarah Chung; Dae Eun Choi; Kang Wook Lee; Ki Ryang Na
Journal:  Kidney Res Clin Pract       Date:  2016-01-22
  2 in total

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