ABSTRACT
Objectives: Heart failure impacts patients' functional capabilities, ultimately leading to frailty. The use of a left ventricular assist device (LVAD) is acceptable as both destination therapy and bridge to transplant in heart failure management. We aim to evaluate the prognostic value of the Clinical Frailty Scale (CFS) on outcomes in older patients undergoing implantation of LVAD. Methods: We conducted a retrospective chart review of patients ≥ 60 years old that underwent LVAD implantation at our medical center from May 1, 2018, to October 30, 2020. CFS was retrospectively assigned before LVAD placement and CFS scores > 4 was considered frail. Kaplan-Meier curves and Cox regression were used to analyze 1-year survival estimates. Results: Forty percent of the cohort was classified as frail according to CFS. Thirty-day re-admission rates were comparable between frail and non-frail patients (46% vs 35%; P = 0.419). 1-year survival was lower in the frail vs non-frail group (log rank, P = 0.017). On Cox analysis, only frailty was associated with 1-year post-intervention mortality (hazard ratio [HR] = 5.64, 95% confidence interval [CI] = 1.131-28.212; P = 0.035). Conclusions: CFS-defined frailty was associated with increased risk of 1-year mortality after LVAD implantation. CFS may be a valuable tool in the frailty assessment for risk stratification of patients undergoing LVAD implantation. Multicenter studies are required to validate these findings.
ABSTRACT
For an organization to be customer centric and service oriented requires that it use each encounter with a customer to create value, leverage advanced technologies to design digital services to fulfill the value, and assess perceived value-in-use to continue to revise the value as customer expectations evolve. The adaptation of value cycles to address the rapid changes in customer expectations requires agile digital platforms with dynamic software ecosystems interacting with multiple actors. For public health agencies focused on population health, these agile digital platforms should provide tailored care to address the distinct needs of select population groups. Using prior research on aging and dynamic software ecosystems, this paper develops a template for the design of an agile digital platform to support value cycle activities among clinical and non-clinical actors, including population groups. It illustrates the design of an agile digital platform to support clients that suffer from delirium, using digital services that leverage Internet of Things, natural language processing, and AI that uses real-time data for learning and care adaption. We conclude the paper with directions for future research.
Subject(s)
Delirium , Population Health , Artificial Intelligence , Ecosystem , Humans , SoftwareABSTRACT
An anonymous survey of 1143 employees in 17 nursing facilities assessed knowledge of, attitudes about, self-perceived compliance with, and barriers to implementing the 2002 Centers for Disease Control and Prevention hand hygiene guidelines. Overall, employees reported positive attitudes toward the guidelines but differed with regard to knowledge, compliance, and perceived barriers. These findings provide guidance for practice improvement programs in long-term care settings.
