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Disability-free survival after major cardiac surgery: a population-based retrospective cohort study
Louise Y Sun1, Anan Bader Eddeen2, Thierry G Mesana2
1The Division of Cardiac Anesthesiology, Department of Anesthesiology and Pain Medicine (Sun), University of Ottawa Heart Institute; the School of Epidemiology and Public Health (Sun), University of Ottawa; the Institute for Clinical Evaluative Sciences (Sun, Bader Eddeen); the Division of Cardiac Surgery, Department of Surgery (Mesana), University of Ottawa Heart Institute, Ottawa, Ont. lsun@ottawaheart.ca.
Insights
Disability-free survival after cardiac surgery is crucial. Combined coronary artery bypass grafting and multiple valve surgery showed the highest disability risk, highlighting the need for personalized risk prediction.
Area of Science:
- Cardiovascular Surgery
- Patient-Centered Outcomes
- Disability Research
Background:
- Traditional cardiovascular research focuses on mortality, neglecting patient-reported outcomes.
- Patient perspective is vital for comprehensive care after cardiac surgery.
Purpose of the Study:
- To evaluate disability-free survival as a patient-defined outcome following cardiac surgery.
- To assess the risk of disability after specific cardiac surgical procedures.
Main Methods:
- Retrospective cohort study of 72,824 patients aged 40+ undergoing coronary artery bypass grafting (CABG) or valve surgery.
- Primary outcome: disability (stroke, non-elective admissions, long-term care) within 1 year post-surgery.
- Risk assessment using cumulative incidence and Fine-Gray models for subdistribution hazards.
Main Results:
- 1-year disability incidence ranged from 4.6% (CABG) to 13.1% (CABG and multiple valve surgery).
- Adjusted hazard ratios for disability were significantly higher for single valve (1.34), multiple valve (1.43), and combined procedures (1.38-1.78) compared to CABG.
- Independent risk factors for disability included combined CABG and multiple valve surgery, heart failure, renal impairment, and substance use disorders.
Conclusions:
- Disability risk varies significantly by cardiac surgery type, with combined procedures posing the highest risk.
- Development of personalized disability risk prediction models is essential for patient-centered care.
Background:
Cardiovascular research has traditionally been dedicated to "tombstone" outcomes, with little attention dedicated to the patient's perspective. We evaluated disability-free survival as a patient-defined outcome after cardiac surgery.
Methods:
We conducted a retrospective cohort study of patients aged 40 years and older who underwent coronary artery bypass grafting (CABG) or single or multiple valve (aortic, mitral, tricuspid) surgery in Ontario between Oct. 1, 2008, and Dec. 31, 2016. The primary outcome was disability (a composite of stroke, 3 or more nonelective hospital admissions and admission to a long-term care facility) within 1 year after surgery. We assessed the procedure-specific risk of disability using cumulative incidence functions, and the relative effect of covariates on the subdistribution hazard using Fine and Gray models.
Results:
The study included 72 824 patients. The 1-year incidence of disability and death was 2431 (4.6%) and 1839 (3.5%) for CABG, 677 (6.5%) and 539 (5.2%) for single valve, 118 (9.0%) and 140 (10.7%) for multiple valve, 718 (9.0%) and 730 (9.2%) for CABG and single valve, and 87 (13.1%) and 94 (14.1%) for CABG and multiple valve surgery, respectively. With CABG as the reference group, the adjusted hazard ratios for disability were 1.34 (95% confidence interval [CI] 1.21-1.48) after single valve, 1.43 (95% CI 1.18-1.75) after multiple valve, 1.38 (95% CI 1.26-1.51) after CABG and single valve, and 1.78 (95% CI 1.43-2.23) after CABG and multiple valve surgery. Combined CABG and multiple valve surgery, heart failure, creatinine 180 μmol/L or greater, alcohol use disorder, dementia and depression were independent risk factors for disability.
Interpretation:
The cumulative incidence of disability was lowest after CABG and highest after combined CABG and multiple valve surgery. Our findings point to a need for models that predict personalized disability risk to enable better patient-centred care.
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