Dataset Information

Hepatic encephalopathy impacts the predictive value of the Fried Frailty Index.

ABSTRACT: Frailty is increasingly recognized as a predictor of poor outcomes in solid organ transplantation. The most widely utilized frailty tool, the Fried Frailty Index (FFI), includes patient-reported exhaustion, weight loss, and physical activity as well as measured walk speed and handgrip. Although hepatic encephalopathy (HE) is common among liver transplant candidates, data are lacking regarding its impact on the interpretation of frailty. We prospectively enrolled 685 patients with cirrhosis during their transplant evaluation, following them until death or transplantation. Our cohort was aged 54.5 ± 10.3 years, 60% male, with an average MELD score of 14.7 ± 6.3. A history of HE was present in 39%. Frailty was present in 41%, associated with higher MELD, low albumin, ascites, and HE. HE was associated with frail performance on three components of the FFI-grip (odds ratio 1.41 95% CI, 1.03-1.92), walk speed (1.56 95% CI, 1.14-2.15), and decreased energy (1.44 95% CI, 1.05-1.99). These three components were associated with transplant free survival in the whole cohort: energy (hazard ratio 1.67 95% CI, 1.25-2.28), grip (1.63 95% CI, 1.24-2.16), and walk speed (1.56 95% CI, 1.19-2.04). However, among patients with HE, the FFI was not associated with survival. HE plays a critical role in the frailty phenotype and the implications of frailty among patients with cirrhosis evaluated for liver transplantation.

SUBMITTER: Tapper EB

PROVIDER: S-EPMC6166663 | biostudies-literature | 2018 Oct

REPOSITORIES: biostudies-literature

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Hepatic encephalopathy impacts the predictive value of the Fried Frailty Index.

Tapper Elliot B EB Konerman Monica M Murphy Susan S Sonnenday Christopher J CJ

American journal of transplantation : official journal of the American Society of Transplantation and the American Society of Transplant Surgeons 20180813 10

Frailty is increasingly recognized as a predictor of poor outcomes in solid organ transplantation. The most widely utilized frailty tool, the Fried Frailty Index (FFI), includes patient-reported exhaustion, weight loss, and physical activity as well as measured walk speed and handgrip. Although hepatic encephalopathy (HE) is common among liver transplant candidates, data are lacking regarding its impact on the interpretation of frailty. We prospectively enrolled 685 patients with cirrhosis durin ...[more]

PMID: 30019835

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Project description:ObjectivesDetermine the effects of missing data in frailty identification and risk prediction.DesignAnalysis of the National Health in Aging Trends Study.SettingCommunity.ParticipantsAbout 6206 older adults.MeasurementsA 41-variable frailty index (FI) was constructed with the following domains: comorbidities, activities of daily living (ADLs), instrumental activities of daily living, self-reported physical limitations, physical performance, and neuropsychiatric tests. We evaluated discrimination after removing single and multiple domains, comparing C-statistics for predicting 5-year risk of mortality and 1-year risks of disability and falls.ResultsThe full FI yielded a mean of .18 and C-statistics of .72 (95% confidence interval, .70-.74) for mortality, .80 (.77-.82) for disability, and .66 (.64-.68) for falls. Removal of any single domain shifted the FI distribution, resulting in a mean FI ranging from .13 (removing comorbidities) to .20 (removing ADLs) and frailty prevalence (FI ≥ .25) from 16.0% to 28.7%. Among robust participants models missing ADLs misclassified most often, (19% as pre-frail). Among pre-frail and frail participants missing comorbidities misclassified most often(69.2% from pre-frail to robust, 24% from frail to pre-frail, and 4.9% from frail to robust). Removal of any single domain minimally changed C-statistics: mortality, .71-.73; disability, .79-.80; and falls, .64-.66. Removing neuropsychiatric testing and physical performance yielded comparable C-statistics of .70, .78, and .66 for mortality, ADLs, and falls, respectively. However, removal of three or four domains based on likely availability decreased C-statistics for mortality (.69, .66),disability (.75, .70), and falls (.64, .63), respectively.ConclusionWhile FI discrimination is robust to missing information in any single domain, risk prediction is affected by absence of multiple domains. This work informs the application of FI as a clinical and research tool. J Am Geriatr Soc 68:1771-1777, 2020.

Project description:BackgroundFrailty has emerged as one of the main geriatric syndromes to be prevented in order to improve quality of health and life in the elderly. In this sense, the characterization of this syndrome through reliable and feasible diagnostic tools for clinical use, such as the Frail Trait Scale 5 (FTS-5) and Frail Trait Scale 3 (FTS-3), represents the basis for this objective.ObjectivesTo characterize the frailty syndrome in a population of older adults using FTS-5, FTS-3, and Fried phenotype (FP) as frailty diagnostic tools.DesignCross-sectional study.Participants300 adults ≥65 years recruited from different Family Health Centers and community groups of older people in Talca, Chile.MethodsThe diagnosis of frailty was made according to FP, FTS-5, and FTS-3 tools. Data about sociodemographic characteristics and anthropometric measurements were collected by a clinical interview by a previously trained health professional.ResultsA total prevalence of frailty according to the FP of 19.7% was observed; while in the group of women and men it was 21.4% and 15.0%, respectively. Concerning the FTS-5 tool, the total prevalence of frailty was 18%, while in the group of women and men was 18.0% and 17.5%, respectively. The FTS-3 tool shows a total prevalence of frailty of 23.3%, while in the group of women and men a prevalence of 22.7% and 25.0%, respectively. A significant difference is observed with respect to the presence of the Fried criteria of "weakness" (women: 21.4%, men: 38.8%) and "weight loss" (women: 16.8%, men: 7.5%; p < 0.05). A significant difference is observed concerning the average score of "Handgrip" criteria, "walking time", and "Physical Activity Scale for the Elderly" (PASE) between the group of women and men. Frailty, diagnosed by FTS-3, is significantly associated with the risk factors of overweight (body mass index ≥ 25) (OR: 10.225, 95% CI: 1.297-80.617) and advanced age (age ≥ 75 years) (OR: 1.839, 95% CI: 1.040-3.250).ConclusionThe prevalence of frailty observed with the FTS-5 (18%) and FTS-3 (23.3%) tools are similar to the prevalence observed through the FP (19.7%) and those reported in other observational studies. Considering the similar prevalence of frailty diagnosed with the three tools, FTS-3 should be a valuable tool for the screening of frailty in the community.

Project description:Background Frailty is increasingly applied as a measure to predict clinical outcomes, but data on the predictive abilities of frailty measures for non-home discharge and functional decline in acutely hospitalized geriatric patients are scarce. Objectives The aim of this study was to investigate the predictive ability of the frailty phenotype and a frailty index currently validated as part of the ongoing Swiss Frailty Network and Repository Study based on clinical admission data for non-home discharge and functional decline in acutely hospitalized older patients. Design Prospective cohort study. Setting and Participants Data were analyzed from 334 consecutive hospitalized patients of a tertiary acute care geriatric inpatient clinic admitted between August 2020 and March 2021. Measurements We assessed frailty using 1) the frailty phenotype and 2) the Swiss Frailty Network and Repository Study (SFNR) frailty index based on routinely available clinical admission data. Predictive abilities of both frailty measures were analyzed for the clinical outcomes of non-home discharge and functional decline using multivariate logistic regression models and receiver operating characteristic curves (ROC). Results Mean age was 82.8 (SD 7.2) years and 55.4% were women. Overall, 170 (53.1%) were frail based on the frailty phenotype and 220 (65.9%) based on the frailty index. Frail patients based on the frailty phenotype were more likely to be discharged non-home (55 (32.4%) vs. 26 (17.3%); adjusted OR 2.4 (95% CI, 1.4, 5.1)). Similarly, frail patients based on the frailty index were more likely to be discharged non-home compared to non-frail patients (76 (34.6%) vs. 9 (7.9%); adjusted OR, 5.5 (95% CI, 2.6, 11.5)). Both, the frailty phenotype and the frailty index were similarly associated with functional decline (adjusted OR 2.7 (95% CI, 1.5, 4.9); adjusted OR 2.8 (95% CI 1.4, 5.5)). ROC analyses showed best discriminatory accuracy for the frailty index for non-home discharge (area under the curve 0.76). Conclusions Frailty using the SFNR-frailty index and the frailty phenotype is a promising measure for prediction of non-home discharge and functional decline in acutely hospitalized geriatric patients. Further study is needed to define the most valid frailty measure. Electronic Supplementary Material Supplementary material is available in the online version of this article at 10.14283/jfa.2022.44.

Dataset Information

Hepatic encephalopathy impacts the predictive value of the Fried Frailty Index.

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Hepatic encephalopathy impacts the predictive value of the Fried Frailty Index.

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