Purpose Of Review: Frailty is highly prevalent in the dialysis population and is associated with mortality. Recent studies have suggested that other dialysis outcomes are compromised in frail individuals. While we do not yet have a consensus as to the best measure of frailty, identification of these poor outcomes and their magnitude of association with frailty will help improve prognostication, allow for earlier interventions, and improve provider-to-patient communication.
Recent Findings: The most widely used assessment of frailty is Fried's physical performance criteria. However, regardless of assessment method, frailty remains highly associated with mortality. More recently, frailty has been associated with falls, fractures, cognitive impairment, vascular access failure, and poor quality of life. Recent large cohort studies provide strong evidence that frailty assessment can provide important prognostic information for providers and patients both before and after initiation of dialysis. Trials aimed at improving frailty are limited and show the promise of augmenting quality of life, although more studies are needed to firmly establish mortality benefits.
Summary: We underscore the importance of frailty as a prognostic indicator and identify other recently established consequences of frailty. Widespread adoption of frailty assessment remains limited and researchers continue to find ways of simplifying the data collection process. Timely and regular assessment of frailty may allow for interventions that can mitigate the onset of poor outcomes and identify actionable targets for dialysis providers.
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http://dx.doi.org/10.1097/MNH.0000000000000364 | DOI Listing |
Am J Sports Med
January 2025
Department of Orthopaedics, Rush University Medical Center, Rush University Medical College, Chicago, Illinois, USA.
Background: Critical analysis of studies with high level of evidence has relied on the significance set by the reported values. However, this strategy steers readers toward categorical interpretation of the data; therefore, a more comprehensive approach of data analysis is warranted. The continuous fragility index (CFI) allows for frailty interpretation of any given study's continuous outcome results.
View Article and Find Full Text PDFBMC Med Res Methodol
January 2025
Department of Computer Science and Engineering, School of Electrical and Computer Engineering, Shiraz University, Shiraz, Iran.
Time-to-event data are very common in medical applications. Regression models have been developed on such data especially in the field of survival analysis. Kernels are used to handle even more complicated and enormous quantities of medical data by injecting non-linearity into linear models.
View Article and Find Full Text PDFJt Comm J Qual Patient Saf
November 2024
Conceptual Framework: The Surgical Pause is a rapid, scalable strategy for health care systems to optimize perioperative outcomes for high-risk, frail patients considering elective surgery. The first and most important step is to screen for frailty, thereby identifying the 5% to 10% of patients at most risk for postoperative complications, loss of independence, institutionalization, and mortality. The second step is to take action to improve outcomes.
View Article and Find Full Text PDFAm J Geriatr Psychiatry
December 2024
Department of Clinical and Experimental Sciences (DA, BB), University of Brescia, Brescia, Italy; Molecular Markers Laboratory (BB), IRCCS Istituto Centro San Giovanni di Dio Fatebenefratelli, Brescia, Italy. Electronic address:
Objectives: The present study aims to assess the prevalence, associated clinical symptoms, longitudinal changes, and imaging correlates of Loss of Insight (LOI), which is still unexplored in syndromes associated with Frontotemporal Lobar Degeneration (FTLD).
Design: Retrospective longitudinal cohort study, from Oct 2009 to Feb 2023.
Setting: Tertiary Frontotemporal Dementia research clinic.
Heart Rhythm
January 2025
Institute and Department of Endocrinology and Metabolism, Shanghai Ninth People's Hospital, Shanghai JiaoTong University School of Medicine, Shanghai, China. Electronic address:
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