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. 2024 Jun 3;7(6):e2414354.
doi: 10.1001/jamanetworkopen.2024.14354.

Sex Disparities After Coronary Artery Bypass Grafting and Hospital Quality

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Sex Disparities After Coronary Artery Bypass Grafting and Hospital Quality

Catherine M Wagner et al. JAMA Netw Open. .

Abstract

Importance: Concern has been raised about persistent sex disparities after coronary artery bypass grafting, with female patients having higher mortality. However, whether these disparities persist across hospitals of different qualities is unknown.

Objective: To evaluate sex disparities in 30-day mortality after coronary artery bypass grafting across high- and low-quality hospitals.

Design, setting, and participants: This cross-sectional, retrospective cohort study evaluated Medicare beneficiaries undergoing coronary artery bypass grafting between October 1, 2015, and March 31, 2020. Data analysis was performed from July 1, 2023, to December 1, 2023.

Exposures: The primary exposures were hospital quality and sex. For hospital quality, hospitals were placed into rank order by their overall risk-adjusted mortality rate and divided into quintiles.

Main outcome and measures: Risk-adjusted 30-day mortality using a logistic regression model accounting for patient factors, including sex, age, comorbidities, elective vs unplanned admission, number of bypass grafts, use of arterial graft, and year of surgery.

Results: A total of 444 855 beneficiaries (mean [SD] age, 71.5 [7.5] years; 120 333 [27.1%] female and 324 522 [72.9%] male) were studied. Compared with male beneficiaries, female beneficiaries were more likely to have an unplanned admission (66 425 [55.2%] vs 157 895 [48.7%], P < .001) and receive care at low-quality (vs high-quality) hospitals (odds ratio, 1.26; 95% CI, 1.23-1.29; P < .001). Overall, risk-adjusted female mortality was 4.24% (95% CI, 4.20%-4.27%), and male mortality was 2.75% (95% CI, 2.75%-2.77%), with an absolute difference of 1.48 (95% CI, 1.45-1.51) percentage points (P < .001). At the highest-quality hospitals, male mortality was 1.57% (95% CI, 1.56%-1.59%), and female mortality was 2.58% (95% CI, 2.54%-2.62%), with an absolute difference of 1.01 (95% CI, 0.97-1.04) percentage points (P < .001). At the lowest-quality hospitals, male mortality was 4.94% (95% CI, 4.88%-5.01%), and female mortality was 7.02% (95% CI, 6.90%-7.13%), with an absolute difference of 2.07 (95% CI, 1.95-2.19) percentage points (P < .001). Female beneficiaries receiving care at low-quality hospitals had a higher mortality than male beneficiaries receiving care at the high-quality hospitals (7.02% vs 1.57%, P < .001).

Conclusions and relevance: In this cohort study of Medicare beneficiaries undergoing coronary artery bypass grafting, female beneficiaries were more likely to receive care at low-quality hospitals, where the sex disparity in mortality was double that of high-quality hospitals. Quality improvement targeting low-quality hospitals as well as equitable referral of female beneficiaries to higher-quality hospitals may narrow the sex disparity after coronary artery bypass grafting.

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Conflict of interest statement

Conflict of Interest Disclosures: Dr Wagner reported receiving salary support from the National Clinician Scholars Program, Institute for Healthcare Policy and Innovation. Dr Ibrahim reporting receiving grants from the National Institutes of Health outside the submitted work. No other disclosures were reported.

Figures

Figure 1.
Figure 1.. Risk Adjusted 30-Day Mortality Stratified by Sex and Hospital Quality
First, hospital-level risk-adjusted 30-day mortality was calculated. Second, hospitals were placed in rank order by 30-day mortality divided into quintiles of quality. The quintile with the lowest 30-day mortality was deemed “highest quality” and the quintile with the highest 30-day mortality was deemed “lowest quality.” Risk adjustment included patient characteristics (ie, age, sex, and comorbidities) and operative characteristics (ie, number of bypass grafts). The differences by sex and hospital quality were statistically significant (P < .001). Error bars indicate 95% CIs.
Figure 2.
Figure 2.. Risk Matrix of Risk-Adjusted 30-Day Mortality by Sex and Hospital Quality
In the risk matrix, as a square gets darker, the risk-adjusted mortality is higher. Female beneficiaries at low-quality hospitals had a greater than 4-fold higher mortality than male beneficiaries at high-quality hospitals.

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References

    1. US Department of Health and Human Services. Agency Equity Action Plan. 2023. Accessed April 23, 2024. https://www.hhs.gov/sites/default/files/hhs-equity-action-plan.pdf
    1. McIver DL. CMS Framework for Health Equity 2022–2032. April 2022. Accessed April 24, 2024. https://www.cms.gov/files/document/cms-framework-health-equity.pdf
    1. Centers for Medicare & Medicaid Services. CMS Framework for Health Equity 2022-2023. Accessed August 31, 2023. https://www.cms.gov/files/document/cms-framework-health-equity-2022.pdf
    1. The White House. Launch of White House initiative on women’s health research. Published November 17, 2023. Accessed November 29, 2023. https://www.whitehouse.gov/gpc/briefing-room/2023/11/17/launch-of-white-...
    1. Arnegard ME, Whitten LA, Hunter C, Clayton JA. Sex as a biological variable: a 5-year progress report and call to action. J Womens Health (Larchmt). 2020;29(6):858-864. doi:10.1089/jwh.2019.8247 - DOI - PMC - PubMed

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