Background
Although quality of life (QOL) is an outcome of postoperative cardiac rehabilitation (CR), its course and related factors from postoperative hospitalization to the post-discharge period have not been adequately investigated. Additionally, the EuroQol-5Dimension-5Level (EQ-5D-5L) index score has not been characterized over the same period. We aimed to characterize QOL changes assessed by the EQ-5D-5L, over the period from hospitalization to 1 year post-discharge, in patients post-cardiac and thoracic aortic surgery, and investigate the factors associated with these temporal changes.
Methodology
This prospective, single-center study included 117 patients who underwent open cardiovascular surgery (median age, 72 years; men, 69%). Patients were assessed for QOL status when transferred to the general ward; at discharge; and at 6 and 12 months after discharge, using the EQ-5D-5L index score and a generalized linear mixed model with random intercepts. Patients were classified into two groups based on score changes post-discharge. Logistic regression analysis evaluated factors associated with QOL decrease post-discharge.
Results
The EQ-5D-5L index score significantly increased over time, except between 6 and 12 months post-discharge; “Common activities” was the most common dimension showing score improvement. In 25 patients (21%), the EQ-5D-5L index scores were lower after discharge compared to their scores at discharge. In the logistic regression analysis, Barthel Index pre-admission, preoperative hemoglobin level, and Mini-Mental State Examination-Japanese scores pre-discharge were significantly associated with QOL decline after adjusting for the European System for Cardiac Operative Risk Evaluation II score.
Conclusions
Most patients post-cardiac or thoracic aortic surgery experienced improved QOL from postoperative hospital stay to 1 year post-discharge. However, in patients with pre-operative basic activities of daily living, hemoglobin and post-operative cognitive decline may require ongoing comprehensive CR because of reduced QOL. Given the potential selection bias introduced by the relatively small sample size in this study, future research involving larger populations is necessary.
