Impact of postdischarge care fragmentation on clinical outcomes and survival following transcatheter aortic valve replacement

HERZ(2020)

引用 1|浏览0
暂无评分
摘要
Background The study aimed to evaluate the prognostic impact of postdischarge care fragmentation in patients undergoing transcatheter aortic valve replacement (TAVR). Methods A total of 266 patients undergoing TAVR due to severe aortic stenosis were included in this retrospective cohort study. Patients were assigned to one of two groups based on presence ( n = 104) and absence ( n = 162) of postdischarge care fragmentation. Fragmented care was defined as at least one readmission to a site other than the implanting TAVR center within 90 days. Prognostic impact of care fragmentation on clinical outcomes and predictors of long-term mortality were investigated. Results Increased major vascular complication (16.3 vs 8.0%, p = 0.037), permanent pacemaker implantation (14.4 vs 6.2%, p = 0.025), and acute kidney injury (22.1 vs 14.2%, p < 0.001) were reported in the fragmented care group. Although early mortality (6.7 vs 4.3%, p = 0.152) was similar between groups, there was a significant difference in 5‑year mortality (66.3 vs 45.7%, p < 0.001). In a univariate regression analysis fragmented care, age, chronic obstructive pulmonary disease, pulmonary artery systolic pressure, and paravalvular leakage were significantly associated with 5‑year mortality. Fragmented care (hazard ratio [HR] 1.510, 95% confidence interval [CI] 1.080–2.111; p = 0.016), age (HR 1.024, 95% CI 1.001–1.048; p = 0.045), paravalvular leakage (HR 1.863, 95% CI 1.076–3.228; p = 0.026), and chronic obstructive pulmonary disease (HR 1.616, 95% CI 1.114–2.344; p = 0.012) were found to be significant independent predictors of 5‑year mortality in a multivariate analysis, after adjusting for other risks. Conclusion Fragmented care has a significant prognostic impact on clinical outcomes and survival.
更多
查看译文
关键词
Patient readmission, Aortic stenosis, Chronic obstructive pulmonary disease, Paravalvular leakage, Mortality
AI 理解论文
溯源树
样例
生成溯源树,研究论文发展脉络
Chat Paper
正在生成论文摘要