Literature DB >> 10874280

Race, baseline characteristics, and clinical outcomes after coronary intervention: The New Approaches in Coronary Interventions (NACI) registry.

D S Marks1, G A Mensah, E D Kennard, K Detre, D R Holmes.   

Abstract

BACKGROUND: The impact of race and sex on clinical outcomes after percutaneous coronary interventions remains incompletely understood. Specific data on patient demographics, lesion characteristics, and outcomes of black versus white patients are poorly described. To further evaluate these issues, we analyzed the New Approaches in Coronary Interventions (NACI) registry.
METHODS: Patients (200 black, 4279 white) undergoing coronary interventions in the NACI trial were compared. A Cox proportional hazards model was used to determine which baseline demographics were independent risk factors for the combined end point of death, Q-wave myocardial infarction, and coronary artery bypass grafting at 1 year.
RESULTS: Black patients were significantly younger (age 59 +/- 11 vs 63 +/- 11 years; P <.001), more often obese (29.6 +/- 6 vs 27.5 +/- 4.8 kg/m(2); P <.001), female (50% vs 34%; P <.001), diabetic (34% vs 21%; P <.001), and hypertensive (71% vs 52%; P <.001). Black patients were significantly more likely to have single-vessel disease (48% vs 40%; P <.05) and less likely to have undergone coronary artery bypass grafting (26% vs 34%; P <.05). Blacks were significantly more likely to have a discrete lesion (85% vs 62%; P <. 001) with less thrombus (7% vs 12%; P <.05), tortuosity (17% vs 25%; P <.05), and an ulcerated appearance (5% vs 10%; P <.05). Despite these significant baseline differences, no significant difference was seen in the procedural success (80% vs 82%) or major adverse events (death, Q-wave myocardial infarction, any revascularization) at 1 year (39% vs 34%). Predictors of adverse events for white patients included diabetes (relative risk [RR] = 1.24; confidence intervals [CI], 1.0-1.5) and high-risk status (RR = 1.58; CI, 1.26-1. 91). Predictive characteristics of adverse events for black patients included only sex (RR = 3.45; CI, 1.27-9.35; P =.02).
CONCLUSIONS: There are significant differences in baseline characteristics of black patients compared with white patients. Despite these differences in traditional risk factors, they do not affect procedural success or 1-year outcome. In black patients, only sex predicted adverse events. Additional investigation is required to understand the mechanisms for this difference.

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Year:  2000        PMID: 10874280     DOI: 10.1067/mhj.2000.106645

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


  4 in total

1.  Percutaneous coronary intervention in Asians--are there differences in clinical outcome?

Authors:  Angela S Koh; Lay W Khin; Lok M Choi; Ling L Sim; Terrance S Chua; Tian H Koh; Jack W Tan; Stanley Chia
Journal:  BMC Cardiovasc Disord       Date:  2011-05-23       Impact factor: 2.298

2.  Mortality after acute myocardial infarction in hospitals that disproportionately treat black patients.

Authors:  Jonathan Skinner; Amitabh Chandra; Douglas Staiger; Julie Lee; Mark McClellan
Journal:  Circulation       Date:  2005-10-25       Impact factor: 29.690

3.  Comparison of six risk scores in patients with triple vessel coronary artery disease undergoing PCI: competing factors influence mortality, myocardial infarction, and target lesion revascularization.

Authors:  Jason C Kovacic; Atul M Limaye; Samantha Sartori; Paul Lee; Roshan Patel; Sweta Chandela; Biana Trost; Swathi Roy; Rafael Harari; Birju Narechania; Rucha Karajgikar; Michael C Kim; Prakash Krishnan; Pedro Moreno; Usman Baber; Roxana Mehran; George Dangas; Annapoorna S Kini; Samin K Sharma
Journal:  Catheter Cardiovasc Interv       Date:  2013-07-01       Impact factor: 2.692

4.  Hypothesis of Long-Term Outcome after Coronary Revascularization in Japanese Patients Compared to Multiethnic Groups in the US.

Authors:  Taku Inohara; Shun Kohsaka; Masashi Goto; Yutaka Furukawa; Masanori Fukushima; Ryuzo Sakata; MacArthur Elayda; James M Wilson; Takeshi Kimura
Journal:  PLoS One       Date:  2015-05-29       Impact factor: 3.240

  4 in total

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