Objective: Frailty, a clinical syndrome associated with loss of metabolic reserves, is prevalent among patients who present to vascular surgery clinics for evaluation. The Clinical Frailty Scale (CFS) is a rapid assessment method shown to be highly specific for identifying frail patients. In this study, we sought to evaluate whether the preoperative CFS score could be used to predict loss of independence after major vascular procedures. Methods: We identified all patients living independently at home who were prospectively assessed using the CFS before undergoing an elective major vascular surgery procedure (admitted for >24 hours) at an academic medical center between December 2015 and December 2017. Patient-and procedure-level clinical data were obtained from our institutional Vascular Quality Initiative registry database. The composite outcome of discharge to a nonhome location or 30-day mortality was evaluated using bivariate and multivariate regression models. Results: A total of 134 independent patients were assessed using the CFS before they underwent elective open abdominal aortic aneurysm repair (8%), endovascular aneurysm repair (26%), thoracic endovascular aortic repair (6%), suprainguinal bypass (6%), infrainguinal bypass (16%), carotid endarterectomy (19%), or peripheral vascular intervention (20%). Among 39 (29%) individuals categorized as being frail using the CFS, there was no significant difference in age or American Society of Anesthesiologists physical status compared with nonfrail patients. However, frail patients were significantly more likely to need mobility assistance after surgery (62% frail vs 22% nonfrail; P < .01) and to be discharged to a nonhome location (22% frail vs 6% nonfrail; P ¼ .01) or to die within 30 days after surgery (8% frail vs 0% nonfrail; P < .01). Preoperative frailty was associated with a >12-fold higher risk (odds ratio, 12.1; 95% confidence interval, 2.17-66.96; P < .01) of 30-day mortality or loss of independence, independent of the vascular procedure undertaken. Conclusions: The CFS is a practical tool for assessing preoperative frailty among patients undergoing elective major vascular surgery and can be used to predict likelihood of requiring discharge to a nursing facility or death after surgery. The identification of frail patients before major surgery can help manage postoperative expectations and optimize transitions of care.
Introduction The U.S. Veterans Health Administration (VHA) is changing the way it provides healthcare to a model known as Whole Health (WH). The aim is to shift from a primarily medical/disease-oriented system to a model that focuses on health promotion and disease prevention; utilizes personalized, proactive, and patient-driven care; and emphasizes the use of complementary and integrative health. This investigation aimed to examine referral and utilization patterns in early implementation at tertiary care VHA medical care system. Specific aims were to evaluate (1) referral patterns, (2) initial treatment engagement, and (3) continuity of treatment engagement. Materials and methods This is an institutional review board-approved, retrospective study of the first 561 veterans referred to WH programming in the first 20 months of implementation. Data analyses included a chi-square goodness of fit to compare demographics of veterans who were referred to WH Services with those of local patient population. At this facility, WH offers services in three tracks (General WH, Mindfulness Center [MC], and WH Nutrition), which offer unique services to veterans. A chi-square test for independence was conducted to analyze differences in initial engagement among the WH components, in referrals and retention among WH components by time period, and in demographics or diagnoses among self-referred or veterans referred by a consult. Finally, a regression model was used to assess for predictive factors that might influence continuity of treatment engagement across all the WH tracks. Results Key findings indicated potential implementation challenges including disproportionate numbers of referrals from clinical services; poor initial and ongoing treatment engagement; and older, male, and non-service-connected Veterans being less likely to be referred. Conclusion Implementation of the WH model of care has the potential to transform the way VHA delivers healthcare and improve the health and lives of veterans. However, a shift of this magnitude is likely to face challenges during implementation. This article reports on initial barriers to implementation, which can guide implementation at other sites as well as future investigations. Further research is needed to replicate these results as well as to determine underlying causal factors. However, if replicated, these results indicate that successful implementation of WH, or similar models of care, will require extensive efforts focused on outreach to, and education of, facility providers and certain patient demographic groups. Finally, efforts will be required to enhance treatment engagement.
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