Operationalizing Frailty Using the Frailty Phenotype and Deficit Accumulation Approaches.
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ABSTRACT:
SUBMITTER: Theou O
PROVIDER: S-EPMC4886227 | biostudies-literature | 2015
REPOSITORIES: biostudies-literature
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Operationalizing Frailty Using the Frailty Phenotype and Deficit Accumulation Approaches.
Theou Olga O Walston Jeremy J Rockwood Kenneth K
Interdisciplinary topics in gerontology and geriatrics 20150717
In both demographic and clinical studies, frailty is understood as a multidimensional state of increased vulnerability compared with the status of others of the same age. Of the many theoretical definitions of frailty, two are commonly employed: the physical frailty/phenotypic approach and the deficit accumulation approach. The purpose of this chapter is to discuss how frailty is conceptualized and operationalized based on these two approaches. ...[more]
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Project description:BackgroundFrailty phenotype and deficit-accumulation frailty index (FI) are widely used measures of frailty. Their performance in predicting recovery after surgical aortic valve replacement (SAVR) and transcatheter aortic valve replacement (TAVR) has not been compared.MethodsPatients undergoing SAVR (n = 91) or TAVR (n = 137) at an academic medical center were prospectively assessed for frailty phenotype and FI. Outcomes were death or poor recovery, defined as a decline in ability to perform 22 daily activities and New York Heart Association class 3 or 4 at 6 months after surgery. The predictive ability of frailty phenotype versus FI and their additive value to a traditional surgical risk model were evaluated using C-statistics, net reclassification improvement (NRI), and integrated discrimination improvement.ResultsTAVR patients had higher prevalence of phenotypic frailty (85% vs 38%, p < .001) and greater mean FI (0.37 vs 0.24, p < .001) than SAVR patients. In the overall cohort, FI had a higher C-statistic than frailty phenotype (0.74 vs 0.63, p = .01) for predicting death or poor recovery. Adding FI to the traditional model improved prediction (NRI, 26.4%, p = .02; integrated discrimination improvement, 7.7%, p < .001), while adding phenotypic frailty did not (NRI, 4.0%, p = .70; integrated discrimination improvement, 1.6%, p = .08). The additive value of FI was evident in TAVR patients (NRI, 42.8%, p < .01) but not in SAVR patients (NRI, 25.0%, p = .29). Phenotypic frailty did not add significantly in either TAVR (NRI, 6.8%, p = .26) or SAVR patients (NRI, 25.0%, p = .29).ConclusionsDeficit-accumulation FI provides better prediction of death or poor recovery than frailty phenotype in older patients undergoing SAVR and TAVR.
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Project description:BackgroundIndividuals are often counseled to use behavioral weight loss strategies to reduce risk for cardiovascular disease (CVD). We examined whether any benefits for CVD risk from weight loss intervention extend uniformly to individuals across a range of underlying health states.MethodsThe time until first occurrence of a composite of fatal and nonfatal myocardial infarction and stroke, hospitalized angina, or CVD death was analyzed from 8 to 11 years of follow-up of 4,859 adults who were overweight or obese, aged 45-76 years with Type 2 diabetes. Individuals had been randomly assigned to either an intensive lifestyle intervention (ILI) or diabetes support and education (DSE). Participants were grouped by intervention assignment and a frailty index (FI) based on deficit accumulation, ordered from fewer (first tertile) to more (third tertile) deficits.ResultsBaseline FI scores were unrelated to intervention-induced weight losses and increased physical activity. The relative effectiveness of ILI on CVD incidence was inversely related to baseline FI in a graded fashion (p = .01), with relative benefit (hazard ratio = 0.73 [95% CI 0.55,0.98]) for individuals in the first FI tertile to no benefit (hazard ratio = 1.15 [0.94,1.42]) among those in the third FI tertile. This graded relationship was not seen for individuals ordered by age tertile (p = .52), and was stronger among participants aged 45-59 years (three-way interaction p = .04).ConclusionsIn overweight/obese adults with diabetes, multidomain lifestyle interventions may be most effective in reducing CVD if administered before individuals have accrued many age-related health deficits. However, these exploratory analyses require confirmation by other studies.Clinical trial registrationNCT00017953.
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Project description:BackgroundThe frailty phenotype is defined by the presence of three from the following five clinical features: weakness, slow walking speed, unintentional weight loss, exhaustion, and low physical activity. It has been widely applied in different research and clinical contexts, including across many low and middle-income countries. However, there is evidence that the operationalisation of each component of the frailty phenotype significantly alters its characteristics and predictive validity, and care is needed when applying the phenotype across settings. The study's objective was to operationalise the frailty phenotype in a rural Tanzanian population of older community-dwelling adults.MethodsConsenting adults aged ≥60 years, and resident in five randomly selected villages of Hai district Demographic Surveillance Site, were eligible to participate in this cross-sectional study. From a screened sample of 1207 older adults, 235 were randomised and consented to an assessment of their frailty status by the frailty phenotype. Trained research fieldworkers (Tanzanian medical doctors and nurses) carried out measurements and questionnaires at local village centres or at participants' homes.ResultsThe prevalence of the frailty phenotype, calculated from complete data for 196 participants, was 9.25% (95% CI 4.39-14.12) When missing data were counted as meeting frailty criterion (i.e. missing due to inability to perform an assessment), the prevalence increased to 11.22% (95% CI 7.11-15.32). Frailty by phenotype criteria was more common in older age groups, and was associated with self-assessed poor health and depression symptoms.ConclusionsFrailty can be successfully estimated using the frailty phenotype, however there are challenges in its operationalisation cross-culturally. Further work is needed to explore the potential clinical application of the frailty phenotype in such settings.
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