Literature DB >> 17128680

Disparities in race/ethnicity and gender in in-hospital mortality rates for coronary artery bypass surgery patients.

Edmund R Becker1, Ali Rahimi.   

Abstract

BACKGROUND: While dramatic progress has been made lowering in-hospital mortality for coronary artery bypass graft surgery (CABG), few comprehensive studies have been done that include Caucasian, African-American, Hispanic and Asian-American/Pacific-Islander CABG inpatients and simultaneously evaluate the influence of gender. This study, analyzing five years of national data for 1.2 million CABG admissions, examines trends in in-hospital CABG mortality rates for gender and four racial/ethnic categories for CABG patients.
METHODS: Using data from the Health Care Utilization Project (HCUP) for 1998-2002, 1.2 million CABG admissions were analyzed using descriptive and logistic regression analyses to evaluate the extent of the disparities in in-hospital CABG mortality rates. HCUP is a sample of nearly 1,000 hospitals from 35 states designed by the Agency for Healthcare Research and Quality (AHRQ) to approximate a 20% stratified sample of the nation's community hospitals: approximately 94% of all hospital discharges in the United States.
RESULTS: Although significant progress has been made in recent years in lowering in-hospital CABG mortality, after controlling for relevant patient and socioeconomic factors, female CABG patients, regardless of their racial/ethnic group, still experience significantly higher in-hospital mortality rates than their male counterparts. Additionally, among these racial and ethnic groups, black CABG patients, whether male or female, continue to experience significantly worse in-hospital mortality rates than other races/ethnicities.
CONCLUSIONS: The declines in CABG in-hospital mortality rates have not been equal across race/ethnicity and gender.

Entities:  

Mesh:

Year:  2006        PMID: 17128680      PMCID: PMC2569791     

Source DB:  PubMed          Journal:  J Natl Med Assoc        ISSN: 0027-9684            Impact factor:   1.798


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