S'abonner

Race and outcomes after percutaneous coronary intervention: Insights from the Blue Cross Blue Shield of Michigan Cardiovascular Consortium - 08/12/22

Doi : 10.1016/j.ahj.2022.10.001 
Stephanie M Spehar, MD a, Milan Seth, MS b, Peter Henke, MD c, Khaldoon Alaswad, MD d, Theodore Schreiber, MD e, Aaron Berman, MD f, John Syrjamaki, MPH g, Omar E. Ali, MD h, Yousef Bader, MD i, David Nerenz, PhD j, Hitinder Gurm, MD b, Devraj Sukul, MD, MSc b,
a Department of Internal Medicine, University of Michigan, Ann Arbor, MI 
b Department of Internal Medicine, Division of Cardiovascular Medicine, University of Michigan, Ann Arbor, MI 
c Department of Vascular Surgery, University of Michigan, Ann Arbor, MI 
d Henry Ford Health System, Division of Cardiology, Detroit, MI 
e Ascension Macomb-Oakland Hospital, Warren, MI 
f Beaumont Hospital, Royal Oak, MI 
g Michigan Value Collaborative at Michigan Medicine, Ann Arbor, MI 
h Detroit Medical Center Heart Hospital, Detroit, MI 
i McLaren Bay Regional Heart and Vascular, Bay City, MI 
j Henry Ford Health System Center for Health Policy and Health Services Research, Detroit, MI 

Reprint requests: Devraj Sukul, MD, MSc, Department of Internal Medicine, Division of Cardiovascular Medicine, University of Michigan, 1500 E. Medical Center Drive, Cardiovascular Center 2716, Ann Arbor, MI, 48109-5853.Department of Internal Medicine, Division of Cardiovascular MedicineUniversity of Michigan,1500 E. Medical Center Drive, Cardiovascular Center 2716Ann ArborMI48109-5853

Résumé

Background

Current studies show similar in-hospital outcomes following percutaneous coronary intervention (PCI) between Black and White patients. Long-term outcomes and the role of individual and community-level socioeconomic factors in differential risk are less understood.

Methods

We linked clinical registry data from PCIs performed between January, 2013 and March, 2018 at 48 Michigan hospitals to Medicare Fee-for-service claims. We analyzed patients of Black and White race. We used propensity score matching and logistic regression models to estimate the odds of 90-day readmission and Cox regression to evaluate the risk of postdischarge mortality. We used mediation analysis to evaluate the proportion of association mediated by socioeconomic factors.

Results

Of the 29,317 patients included in this study, 10.28% were Black and 89.72% were White. There were minimal differences between groups regarding post-PCI in-hospital outcomes. Compared with White patients, Black patients were more likely to be readmitted within 90-days of discharge (adjusted OR 1.62, 95% CI [1.32-2.00]) and had significantly higher risk of all-cause mortality (adjusted HR 1.45, 95% CI 1.30-1.61) when adjusting for age and gender. These associations were significantly mediated by dual eligibility (proportion mediated [PM] for readmission: 11.0%; mortality: 21.1%); dual eligibility and economic well-being of the patient's community (PM for readmission: 22.3%; mortality: 43.0%); and dual eligibility, economic well-being of the community, and baseline clinical characteristics (PM for readmission: 45.0%; mortality: 87.8%).

Conclusions

Black patients had a higher risk of 90-day readmission and cumulative mortality following PCI compared with White patients. Associations were mediated by dual eligibility, community economic well-being, and traditional cardiovascular risk factors. Our study highlights the need for improved upstream care and streamlined postdischarge care pathways as potential strategies to improve health care disparities in cardiovascular disease.

Le texte complet de cet article est disponible en PDF.

Plan


 Tweet: Black patients have increased risk of readmission and mortality following PCI mediated by many factors. #HealthDisparities #BMC2


© 2022  Publié par Elsevier Masson SAS.
Ajouter à ma bibliothèque Retirer de ma bibliothèque Imprimer
Export

    Export citations

  • Fichier

  • Contenu

Vol 255

P. 106-116 - janvier 2023 Retour au numéro
Article précédent Article précédent
  • A comprehensive and easy-to-use ECG algorithm to predict the coronary occlusion site in ST-segment elevation myocardial infarction
  • Carlo Gaspardone, Davide Romagnolo, Alessandro Fasolino, Giulio Falasconi, Alessandro Beneduce, Giorgio Fiore, Emma Didelon, Fabrizio Fortunato, Carmine Galdieri, Giuseppe Antonio Posteraro, Giacomo Ingallina, Francesco Ancona, Federico Biondi, Silvana Di Maio, Alice Casiraghi, Massimo Slavich, Giorgia Borio, Simone Savastano, Sergio Leonardi, Alberto Margonato, Eustachio Agricola, Michele Oppizzi, Achille Gaspardone, Carlo Pappone, Matteo Montorfano
| Article suivant Article suivant
  • Comparing the Classification of Percutaneous Coronary Interventions Using the 2012 and 2017 Appropriate Use Criteria: Insights From 245,196 Patients in the NCDR CathPCI Registry
  • Adam J Nelson, Taku Inohara, Sunil V. Rao, Lisa A. Kaltenbach, Daniel Wojdyla, Tracy Y. Wang

Bienvenue sur EM-consulte, la référence des professionnels de santé.
L’accès au texte intégral de cet article nécessite un abonnement.

Déjà abonné à cette revue ?

Mon compte


Plateformes Elsevier Masson

Déclaration CNIL

EM-CONSULTE.COM est déclaré à la CNIL, déclaration n° 1286925.

En application de la loi nº78-17 du 6 janvier 1978 relative à l'informatique, aux fichiers et aux libertés, vous disposez des droits d'opposition (art.26 de la loi), d'accès (art.34 à 38 de la loi), et de rectification (art.36 de la loi) des données vous concernant. Ainsi, vous pouvez exiger que soient rectifiées, complétées, clarifiées, mises à jour ou effacées les informations vous concernant qui sont inexactes, incomplètes, équivoques, périmées ou dont la collecte ou l'utilisation ou la conservation est interdite.
Les informations personnelles concernant les visiteurs de notre site, y compris leur identité, sont confidentielles.
Le responsable du site s'engage sur l'honneur à respecter les conditions légales de confidentialité applicables en France et à ne pas divulguer ces informations à des tiers.


Tout le contenu de ce site: Copyright © 2025 Elsevier, ses concédants de licence et ses contributeurs. Tout les droits sont réservés, y compris ceux relatifs à l'exploration de textes et de données, a la formation en IA et aux technologies similaires. Pour tout contenu en libre accès, les conditions de licence Creative Commons s'appliquent.