Literature DB >> 22877806

Evaluating the effectiveness of a rapidly adopted cardiovascular technology with administrative data: the case of drug-eluting stents for acute coronary syndromes.

Jerome J Federspiel1, Sally C Stearns, Brett C Sheridan, Jack J Kuritzky, Laura P D'Arcy, Daniel J Crespin, Timothy S Carey, Joseph S Rossi.   

Abstract

BACKGROUND: Instrumental variable (IV) methods can correct for unmeasured confounding when using administrative (claims) data for cardiovascular outcomes research, but difficulties identifying valid IVs have limited their use. We evaluated the safety and efficacy of drug-eluting coronary stents (DES) compared with bare-metal stents (BMS) for Medicare beneficiaries with acute coronary syndromes using the rapid uptake of DES in clinical practice as an instrument. We compared results from IV with those from propensity score matching (PSM) and multivariable regression models.
METHODS: This is a retrospective cohort study involving 62,309 fee-for-service beneficiaries 66 years and older treated with coronary stenting between May 2003 and February 2004. Outcomes were measured for 46 months after revascularization using claims data.
RESULTS: Recipients of DES were younger, had a lower prevalence of myocardial infarction, and had fewer comorbidities compared with BMS recipients. Use of DES was associated with lower rates of mortality by PSM (hazard ratio [HR] 0.80, CI 0.77-0.83) but not by IV (HR 0.99, CI 0.87-1.11). Instrumental variable models estimated a larger reduction in repeat revascularization (HR 0.76, CI 0.63-0.89) than did PSM (HR 0.90, CI 0.87-0.93).
CONCLUSIONS: Based on IV analysis, the increased utilization of DES relative to BMS among Medicare beneficiaries with acute coronary syndrome is associated with reduced rates of repeat revascularization and no difference in mortality. Instrumental variable approaches provide a useful complement to conventional approaches to cardiovascular outcomes research with administrative data.
Copyright © 2012 Mosby, Inc. All rights reserved.

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Year:  2012        PMID: 22877806      PMCID: PMC3660722          DOI: 10.1016/j.ahj.2012.05.016

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


  32 in total

1.  Survival benefit with drug-eluting stents in observational studies: fact or artifact?

Authors:  Lakshmi Venkitachalam; Yang Lei; Elizabeth A Magnuson; Paul S Chan; Joshua M Stolker; Kevin F Kennedy; Neal S Kleiman; David J Cohen
Journal:  Circ Cardiovasc Qual Outcomes       Date:  2011-10-11

2.  Seasonal distribution of acute myocardial infarction in the second National Registry of Myocardial Infarction.

Authors:  F A Spencer; R J Goldberg; R C Becker; J M Gore
Journal:  J Am Coll Cardiol       Date:  1998-05       Impact factor: 24.094

3.  Who is the marginal patient? Understanding instrumental variables estimates of treatment effects.

Authors:  K M Harris; D K Remler
Journal:  Health Serv Res       Date:  1998-12       Impact factor: 3.402

4.  Propensity score methods for bias reduction in the comparison of a treatment to a non-randomized control group.

Authors:  R B D'Agostino
Journal:  Stat Med       Date:  1998-10-15       Impact factor: 2.373

5.  Comorbidity measures for use with administrative data.

Authors:  A Elixhauser; C Steiner; D R Harris; R M Coffey
Journal:  Med Care       Date:  1998-01       Impact factor: 2.983

6.  Long-term outcomes of regional variations in intensity of invasive vs medical management of Medicare Patients with acute myocardial infarction.

Authors:  Therese A Stukel; F Lee Lucas; David E Wennberg
Journal:  JAMA       Date:  2005-03-16       Impact factor: 56.272

7.  Socioeconomic position and hormone replacement therapy use: explaining the discrepancy in evidence from observational and randomized controlled trials.

Authors:  Debbie A Lawlor; George Davey Smith; Shah Ebrahim
Journal:  Am J Public Health       Date:  2004-12       Impact factor: 9.308

Review 8.  Use of comorbidity scores for control of confounding in studies using administrative databases.

Authors:  S Schneeweiss; M Maclure
Journal:  Int J Epidemiol       Date:  2000-10       Impact factor: 7.196

9.  A polymer-based, paclitaxel-eluting stent in patients with coronary artery disease.

Authors:  Gregg W Stone; Stephen G Ellis; David A Cox; James Hermiller; Charles O'Shaughnessy; James Tift Mann; Mark Turco; Ronald Caputo; Patrick Bergin; Joel Greenberg; Jeffrey J Popma; Mary E Russell
Journal:  N Engl J Med       Date:  2004-01-15       Impact factor: 91.245

10.  Sirolimus-eluting stents versus standard stents in patients with stenosis in a native coronary artery.

Authors:  Jeffrey W Moses; Martin B Leon; Jeffrey J Popma; Peter J Fitzgerald; David R Holmes; Charles O'Shaughnessy; Ronald P Caputo; Dean J Kereiakes; David O Williams; Paul S Teirstein; Judith L Jaeger; Richard E Kuntz
Journal:  N Engl J Med       Date:  2003-10-02       Impact factor: 91.245

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  1 in total

1.  External adjustment sensitivity analysis for unmeasured confounding: an application to coronary stent outcomes, Pennsylvania 2004-2008.

Authors:  Marco D Huesch
Journal:  Health Serv Res       Date:  2012-12-03       Impact factor: 3.402

  1 in total

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