评估社会经济困境对心脏手术后再住院的影响

Mohamad El Moheb MD , Abhinav Kareddy BSc , Steven Young MD , Matthew Weber MD , Sean Noona MD , Alexander Wisniewski MD , Anthony Norman MD , Zeyad Sahli MD, MBA , Raymond Strobel MD, MSc , Andrew Young MD , Jeffrey Rich MD , Abdulla Damluji MD , Mohammed Quader MD , Leora Yarboro MD , Nicholas Teman MD , Ourania Preventza MD, MBA
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引用次数: 0

摘要

背景尚未研究过社会经济困境对心脏手术后再入院率的影响。我们假设,与生活在不太贫困社区的患者相比,生活在贫困社区的患者在心脏手术后的 30 天再入院率更高。方法确定了 2016 年至 2023 年期间在一个区域协作组织内接受孤立冠状动脉旁路移植术(CABG)的患者。窘迫社区指数(DCI)和地区贫困指数(ADI)用于衡量社会经济窘迫程度。采用两个逻辑回归模型来评估 30 天再入院率:一个包含 ADI,另一个包含 DCI。模型根据胸外科医师协会(STS)预测死亡率风险(PROM)评分、术后并发症、住院时间(LOS)、手术年份和出院处置进行了调整。结果 共纳入了16,369名患者,其中10%的患者在出院后30天内再次入院。再次入院的患者中女性比例更高(32% 对 23.3%),术后出现并发症的比例更高(47% 对 35%),出院回家的比例更低(70.6% 对 83.5%;P 均为 0.001)。在多变量分析中,STS PROM评分、术后并发症、住院时间延长、出院到医疗机构或不听医嘱出院是再入院率较高的预测因素。在使用 DCI 的模型中(几率比 [OR],0.93;95% 置信区间 [CI],0.76-1.15)或在使用 ADI 的模型中(OR,1.17;95% 置信区间 [CI],0.83-1.64),社会经济状况并不是再入院的独立预测因素。出院地点等其他因素对再入院率的影响更大。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Assessing the impact of socioeconomic distress on hospital readmissions after cardiac surgery

Background

The impact of socioeconomic distress on readmission rates following cardiac surgery has not been studied. We hypothesized that patients living in distressed communities would have a higher 30-day readmission rate after cardiac surgery compared to those living in less distressed communities.

Methods

Patients undergoing isolated coronary artery bypass grafting (CABG) between 2016 and 2023 within a regional collaborative were identified. The Distressed Communities Index (DCI) and Area Deprivation Index (ADI) were used to measure socioeconomic distress. Two logistic regression models were performed to evaluate 30-day readmission rates: one incorporating ADI and the other including DCI. Models were adjusted for the Society of Thoracic Surgeons (STS) Predicted Risk of Mortality (PROM) score, postoperative complications, length of stay (LOS), year of surgery, and discharge disposition.

Results

A total of 16,369 patients were included, of whom 10% were readmitted within 30 days of discharge. Readmitted patients were more likely to be female (32% vs 23.3%) and to develop postoperative complications (47% vs 35%) and less likely to be discharged to home (70.6% vs 83.5%; P < .001 for all). On multivariable analysis, STS PROM score, postoperative complications, prolonged LOS, and discharge to a facility or leaving against medical advice were predictive of higher readmission rates. Socioeconomic distress was not an independent predictor of readmission in the model that used DCI (odds ratio [OR], 0.93; 95% confidence interval [CI], 0.76-1.15) or in the model that used ADI (OR, 1.17; 95% CI, 0.83-1.64).

Conclusions

In patients undergoing CABG, increasing socioeconomic distress does not predict higher 30-day readmission rate. Other factors, such as discharge location, have a greater impact on readmission rate.
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