Socioeconomic distress is associated with failure to rescue in cardiac surgery.

The Journal of thoracic and cardiovascular surgery(2022)

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摘要
OBJECTIVE:The influence of socioeconomic determinants of health on failure to rescue (mortality after a postoperative complication) after cardiac surgery is unknown. We hypothesized that increasing Distressed Communities Index, a comprehensive socioeconomic ranking by ZIP code, would be associated with higher failure to rescue. METHODS:Patients undergoing Society of Thoracic Surgeons index operation in a regional collaborative (2011-2021) who developed a failure to rescue complication were included. After excluding patients with missing ZIP code or Society of Thoracic Surgeons predicted risk of mortality, patients were stratified by Distressed Communities Index scores (0-no distress, 100-severe distress) based on education level, poverty, unemployment, housing vacancies, median income, and business growth. The upper 2 quintiles of distress (Distressed Communities Index >60) were compared to all other patients. Hierarchical logistic regression analyzed the association between Distressed Communities Index and failure to rescue. RESULTS:A total of 4004 patients developed 1 or more of the defined complications across 17 centers. Of these, 582 (14.5%) experienced failure to rescue. High socioeconomic distress (Distressed Communities Index >60) was identified among 1272 patients (31.8%). Before adjustment, failure to rescue occurred more frequently among those from socioeconomically distressed communities (Distressed Communities Index >60; 16.9% vs 13.4%, P = .004). After adjustment, residing in a socioeconomically distressed community was associated with 24% increased odds of failure to rescue (odds ratio, 1.24; confidence interval, 1.003-1.54; P = .044). CONCLUSIONS:Increasing Distressed Communities Index, a measure of poor socioeconomic status, is associated with greater risk-adjusted likelihood of failure to rescue after cardiac surgery. These findings highlight that current quality metrics do not account for socioeconomic status, and as such underrepresent procedural risk for these vulnerable patients.
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