Literature DB >> 23643497

Socioeconomic disparities in the use of cardioprotective medications among patients with peripheral artery disease: an analysis of the American College of Cardiology's NCDR PINNACLE Registry.

Sumeet Subherwal1, Manesh R Patel, Fengming Tang, Kim G Smolderen, W Schuyler Jones, Thomas T Tsai, Henry H Ting, Deepak L Bhatt, John A Spertus, Paul S Chan.   

Abstract

OBJECTIVES: The aim of this paper was to examine disparities in the use of cardioprotective medications in the treatment of peripheral artery disease (PAD) by socioeconomic status (SES).
BACKGROUND: PAD is associated with increased cardiovascular risk and is more prevalent among those of lower SES. However, the use of guideline-recommended secondary preventive measures for the treatment of PAD across diverse income subgroups and the influence of practice site on potential treatment disparities by SES are unknown.
METHODS: Within the National Cardiovascular Disease Registry (NCDR) PINNACLE Registry, 62,690 patients with PAD were categorized into quintiles of SES, as defined by the median income of each patient's zip code. The association between SES and secondary preventive treatment with antiplatelet and statin medications was evaluated using sequential hierarchical modified Poison models, adjusting first for practice site and then for clinical variables.
RESULTS: Compared with the highest SES quintile (median income: >$60,868), PAD patients in the lowest SES quintile (median income: <$34,486) were treated less often with statins (72.5% vs. 85.8%; RR: 0.84; 95% CI: 0.83 to 0.86; p < 0.001) and antiplatelet therapy (79.0% vs. 84.6%; RR: 0.93; 95% CI: 0.91 to 0.94; p < 0.001). These differences were markedly attenuated after controlling for practice site variation: statins (adjusted RR: 0.97; 95% CI: 0.95 to 0.99; p = 0.003) and antiplatelet therapy (adjusted RR: 0.98; 95% CI: 0.97 to 1.00; p = 0.012). Additional adjustment for patients' clinical characteristics had minimal impact, with slight further attenuation with statins (adjusted RR: 1.00: 95% CI: 0.99 to 1.01; p = 0.772) and antiplatelet therapy (adjusted RR: 1.00; 95% CI: 0.99 to 1.01; p = 0.878).
CONCLUSIONS: Among PAD patients, the practice site at which patients received care largely explained the observed SES differences in treatment with guideline-recommended secondary preventive medications. Future efforts to reduce treatment disparities in these vulnerable populations should target systems improvement at practices serving high proportions of patients with low SES.
Copyright © 2013 American College of Cardiology Foundation. Published by Elsevier Inc. All rights reserved.

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Year:  2013        PMID: 23643497      PMCID: PMC3912073          DOI: 10.1016/j.jacc.2013.04.018

Source DB:  PubMed          Journal:  J Am Coll Cardiol        ISSN: 0735-1097            Impact factor:   24.094


  41 in total

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Authors:  Jeffrey W Olin; David E Allie; Michael Belkin; Robert O Bonow; Donald E Casey; Mark A Creager; Thomas C Gerber; Alan T Hirsch; Michael R Jaff; John A Kaufman; Curtis A Lewis; Edward T Martin; Louis G Martin; Peter Sheehan; Kerry J Stewart; Diane Treat-Jacobson; Christopher J White; Zhi-Jie Zheng
Journal:  J Vasc Surg       Date:  2010-12       Impact factor: 4.268

2.  Ethnic differences in the prevalence and treatment of cardiovascular risk factors in US outpatients with peripheral arterial disease: insights from the reduction of atherothrombosis for continued health (REACH) registry.

Authors:  Telly A Meadows; Deepak L Bhatt; Alan T Hirsch; Mark A Creager; Robert M Califf; E Magnus Ohman; Christopher P Cannon; Kim A Eagle; Mark J Alberts; Shinya Goto; Sidney C Smith; Peter W F Wilson; Karol E Watson; P Gabriel Steg
Journal:  Am Heart J       Date:  2009-12       Impact factor: 4.749

3.  The Improving Continuous Cardiac Care (IC(3)) program and outpatient quality improvement.

Authors:  Paul S Chan; William J Oetgen; John A Spertus
Journal:  Am J Med       Date:  2010-03       Impact factor: 4.965

4.  Uninsured South Florida vascular surgery patients are less likely to receive optimal medical management than their insured counterparts.

Authors:  Dante Yeh; Monique Jones; Carl Schulman; Jagajan Karmacharya; Omaida C Velazquez
Journal:  J Vasc Surg       Date:  2010-04       Impact factor: 4.268

5.  Cardiac performance measure compliance in outpatients: the American College of Cardiology and National Cardiovascular Data Registry's PINNACLE (Practice Innovation And Clinical Excellence) program.

Authors:  Paul S Chan; William J Oetgen; Donna Buchanan; Kristi Mitchell; Fran F Fiocchi; Fengming Tang; Philip G Jones; Tracie Breeding; Duane Thrutchley; John S Rumsfeld; John A Spertus
Journal:  J Am Coll Cardiol       Date:  2010-06-29       Impact factor: 24.094

6.  Socioeconomic position, not race, is linked to death after cardiac surgery.

Authors:  Colleen G Koch; Liang Li; George A Kaplan; Jared Wachterman; Mehdi H Shishehbor; Joseph Sabik; Eugene H Blackstone
Journal:  Circ Cardiovasc Qual Outcomes       Date:  2010-04-06

7.  Secondary prevention and mortality in peripheral artery disease: National Health and Nutrition Examination Study, 1999 to 2004.

Authors:  Reena L Pande; Todd S Perlstein; Joshua A Beckman; Mark A Creager
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8.  An unequal social distribution of peripheral arterial disease and the possible explanations: results from a population-based study.

Authors:  Knut Kröger; Nico Dragano; Andreas Stang; Susanne Moebus; Stefan Möhlenkamp; Klaus Mann; Johannes Siegrist; Karl-Heinz Jöckel; Raimund Erbel
Journal:  Vasc Med       Date:  2009-11       Impact factor: 3.239

9.  Progression of peripheral arterial disease predicts cardiovascular disease morbidity and mortality.

Authors:  Michael H Criqui; John K Ninomiya; Deborah L Wingard; Ming Ji; Arnost Fronek
Journal:  J Am Coll Cardiol       Date:  2008-11-18       Impact factor: 24.094

Review 10.  2011 ACCF/AHA focused update of the guideline for the management of patients with peripheral artery disease (updating the 2005 guideline): a report of the American College of Cardiology Foundation/American Heart Association Task Force on Practice Guidelines: developed in collaboration with the Society for Cardiovascular Angiography and Interventions, Society of Interventional Radiology, Society for Vascular Medicine, and Society for Vascular Surgery.

Authors:  Thom W Rooke; Alan T Hirsch; Sanjay Misra; Anton N Sidawy; Joshua A Beckman; Laura K Findeiss; Jafar Golzarian; Heather L Gornik; Jonathan L Halperin; Michael R Jaff; Gregory L Moneta; Jeffrey W Olin; James C Stanley; Christopher J White; John V White; R Eugene Zierler
Journal:  J Vasc Surg       Date:  2011-09-29       Impact factor: 4.268

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  11 in total

1.  A National Assessment of Medication Adherence to Statins by the Racial Composition of Neighborhoods.

Authors:  Andrew M Davis; Michael S Taitel; Jenny Jiang; Dima M Qato; Monica E Peek; Chia-Hung Chou; Elbert S Huang
Journal:  J Racial Ethn Health Disparities       Date:  2016-06-28

2.  Socioeconomic inequality and peripheral artery disease prevalence in US adults.

Authors:  Reena L Pande; Mark A Creager
Journal:  Circ Cardiovasc Qual Outcomes       Date:  2014-07

Review 3.  Limb ischemia: cardiovascular diagnosis and management from head to toe.

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Journal:  Curr Cardiol Rep       Date:  2015-07       Impact factor: 2.931

4.  Association of US Centers for Medicare and Medicaid Services Hospital 30-Day Risk-Standardized Readmission Metric With Care Quality and Outcomes After Acute Myocardial Infarction: Findings From the National Cardiovascular Data Registry/Acute Coronary Treatment and Intervention Outcomes Network Registry-Get With the Guidelines.

Authors:  Ambarish Pandey; Harsh Golwala; Hurst M Hall; Tracy Y Wang; Di Lu; Ying Xian; Karen Chiswell; Karen E Joynt; Abhinav Goyal; Sandeep R Das; Dharam Kumbhani; Howard Julien; Gregg C Fonarow; James A de Lemos
Journal:  JAMA Cardiol       Date:  2017-07-01       Impact factor: 14.676

5.  The effect of income and insurance on the likelihood of major leg amputation.

Authors:  Kakra Hughes; Lucas Mota; Maria Nunez; Neil Sehgal; Gezzer Ortega
Journal:  J Vasc Surg       Date:  2019-03-08       Impact factor: 4.268

6.  Neighborhood Socioeconomic Status and Adverse Outcomes in Patients With Cardiovascular Disease.

Authors:  Matthew L Topel; Jeong Hwan Kim; Mahasin S Mujahid; Samaah M Sullivan; Yi-An Ko; Viola Vaccarino; Arshed A Quyyumi; Tené T Lewis
Journal:  Am J Cardiol       Date:  2018-10-22       Impact factor: 2.778

Review 7.  Sex-Specific Outcomes in Cardiovascular Device Evaluations.

Authors:  Mohammed Imran Ghare; Daniela Tirziu; Jinnette Dawn Abbott; Elissa Altin; Yiping Yang; Vivian Ng; Cindy Grines; Alexandra Lansky
Journal:  J Womens Health (Larchmt)       Date:  2020-06-15       Impact factor: 3.017

8.  Socioeconomic inequalities in quality of care and outcomes among patients with acute coronary syndrome in the modern era of drug eluting stents.

Authors:  Celina M Yong; Freddy Abnousi; Steven M Asch; Paul A Heidenreich
Journal:  J Am Heart Assoc       Date:  2014-11-14       Impact factor: 5.501

9.  Leveraging the Electronic Health Record to Create an Automated Real-Time Prognostic Tool for Peripheral Arterial Disease.

Authors:  Adelaide M Arruda-Olson; Naveed Afzal; Vishnu Priya Mallipeddi; Ahmad Said; Homam Moussa Pacha; Sungrim Moon; Alisha P Chaudhry; Christopher G Scott; Kent R Bailey; Thom W Rooke; Paul W Wennberg; Vinod C Kaggal; Gustavo S Oderich; Iftikhar J Kullo; Rick A Nishimura; Rajeev Chaudhry; Hongfang Liu
Journal:  J Am Heart Assoc       Date:  2018-12-04       Impact factor: 5.501

10.  Quantifying sociodemographic and income disparities in medical therapy and lifestyle among symptomatic patients with suspected coronary artery disease: a cross-sectional study in North America.

Authors:  Joseph A Ladapo; Adrian Coles; Rowena J Dolor; Daniel B Mark; Lawton Cooper; Kerry L Lee; Jonathan Goldberg; Michael D Shapiro; Udo Hoffmann; Pamela S Douglas
Journal:  BMJ Open       Date:  2017-09-29       Impact factor: 2.692

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