Dataset Information

Physical Function and Frailty for Predicting Adverse Outcomes in Older Primary Care Patients.

ABSTRACT:

Objective

To explore the predictive ability of the Short Physical Performance Battery (SPPB), Late Life Function and Disability Instrument-Function component (LLFDI-function) and frailty phenotype, for falls, hospitalizations, emergency department (ED) visits, and low self-rated health (SRH) over 1 and 2 years in older adults.

Design

Secondary analysis of data from a longitudinal study, the Boston Rehabilitative Impairment Study of the Elderly.

Setting

Primary care.

Participants

Adults 65 years and older at risk for disability who completed ≥1 follow-up call (N=391).

Interventions

None.

Main outcome measures

We computed separate logistic regression models using the SPPB, LLFDI-function, and frailty phenotype as independent variables and falls, hospitalizations, ED visits, and SRH over 1 and 2 years as dependent variables. Receiver operating characteristic curves were constructed and the areas under the curves calculated.

Results

Participants had a mean age of 76.5±7.1 years. The SPPB, LLFDI-function, and frailty phenotype all predicted hospitalizations and low SRH over a 1- and 2-year timeframe (odds ratio [OR] min-max, 1.35-1.51 and 1.67-3.07, respectively). Over 2 years, the SPPB predicted ED visits (OR, 1.28), and the LLFDI-function predicted falls (OR, 1.31). The LLFDI-function predicted low SRH better than the frailty phenotype over 1 year. There were no differences between the measures for any of the other outcomes.

Conclusions

The SPPB, LLFDI-function, and frailty phenotype had similar accuracy for predicting falls, hospitalizations, ED visits, and low SRH over 1 and 2 years among older primary care patients at risk for disability. As a result, when considering the optimal screening tool for older adults, the choice between a measure of function and frailty may ultimately depend on clinical preference and context.

SUBMITTER: O'Hoski S

PROVIDER: S-EPMC7103496 | biostudies-literature | 2020 Apr

REPOSITORIES: biostudies-literature

ACCESS DATA

Publications

Physical Function and Frailty for Predicting Adverse Outcomes in Older Primary Care Patients.

O'Hoski Sachi S Bean Jonathan F JF Ma Jinhui J So Hon Yiu HY Kuspinar Ayse A Richardson Julie J Wald Joshua J Beauchamp Marla K MK

Archives of physical medicine and rehabilitation 20191228 4

<h4>Objective</h4>To explore the predictive ability of the Short Physical Performance Battery (SPPB), Late Life Function and Disability Instrument-Function component (LLFDI-function) and frailty phenotype, for falls, hospitalizations, emergency department (ED) visits, and low self-rated health (SRH) over 1 and 2 years in older adults.<h4>Design</h4>Secondary analysis of data from a longitudinal study, the Boston Rehabilitative Impairment Study of the Elderly.<h4>Setting</h4>Primary care.<h4>Part ...[more]

PMID: 31891711

Similar Datasets

Project description:The prompt identification of frailty in primary care is the first step to offer personalized care to older individuals. We aimed to detect and quantify frailty among primary care older patients, by developing and validating a primary care frailty index (PC-FI) based on routinely collected health records and providing sex-specific frailty charts. The PC-FI was developed using data from 308,280 primary care patients ≥ 60 years old part of the Health Search Database (HSD) in Italy (baseline 2013-2019) and validated in the Swedish National Study on Aging and Care in Kungsholmen (SNAC-K; baseline 2001-2004), a well-characterized population-based cohort including 3363 individuals ≥ 60 years old. Potential health deficits part of the PC-FI were identified through ICD-9, ATC, and exemption codes and selected through an optimization algorithm (i.e., genetic algorithm), using all-cause mortality as the main outcome for the PC-FI development. The PC-FI association at 1, 3 and 5 years, and discriminative ability for mortality and hospitalization were tested in Cox models. The convergent validity with frailty-related measures was verified in SNAC-K. The following cut-offs were used to define absent, mild, moderate and severe frailty: < 0.07, 0.07-0.14, 0.14-0.21, and ≥ 0.21. Mean age of HSD and SNAC-K participants was 71.0 years (55.4% females). The PC-FI included 25 health deficits and showed an independent association with mortality (hazard ratio range 2.03-2.27; p < 0.05) and hospitalization (hazard ratio range 1.25-1.64; p < 0.05) and a fair-to-good discriminative ability (c-statistics range 0.74-0.84 for mortality and 0.59-0.69 for hospitalization). In HSD 34.2%, 10.9% and 3.8% were deemed mildly, moderately, and severely frail, respectively. In the SNAC-K cohort, the associations between PC-FI and mortality and hospitalization were stronger than in the HSD and PC-FI scores were associated with physical frailty (odds ratio 4.25 for each 0.1 increase; p < 0.05; area under the curve 0.84), poor physical performance, disability, injurious falls, and dementia. Almost 15% of primary care patients ≥ 60 years old are affected by moderate or severe frailty in Italy. We propose a reliable, automated, and easily implementable frailty index that can be used to screen the primary care population for frailty.

Project description:Background/objectiveCurrent preoperative assessment tools such as the American College of Surgeons Surgical Risk Calculator (ACS Calculator) are suboptimal for evaluating older adults. The objective was to evaluate and compare the performance of the ACS Calculator for predicting risk of serious postoperative complications with the addition of self-reported physical function versus a frailty score.DesignProspective cohort.SettingTwo tertiary care academic medical centers in Massachusetts.ParticipantsIndividuals aged 65 and older undergoing any surgery with a risk of serious complication of 5% or greater (N = 403).MeasurementsWe measured self-reported physical function using the Late-Life Function and Disability Instrument (LLFDI FUNCTION) and frailty phenotype (FP), which has a score ranging from 0 to 5 based on slow gait speed, weak handgrip, exhaustion, weight loss, or low activity. Using c-statistic and net classification improvement (NRI), we then analyzed capability of LLFDI-FUNCTION versus FP to improve the ACS Calculator for predicting an adverse postoperative course (serious complication, discharge to nursing home, readmission, death within 30 days of surgery). Increase in c-statistic and net reclassification improvement (NRI) for LLFDI-FUNCTION versus FP in addition to the ACS Calculator for predicting an adverse postoperative course (serious complication, discharge to nursing home, readmission, death within 30 days of surgery) RESULTS: Over 30 days, 26% of participants developed an adverse postoperative course. The increase in c-statistic for the ACS Calculator (baseline value 0.645) was slightly greater with LLFDI-FUNCTION (0.076) than with FP (0.058), with a bootstrapped difference in c-statistic of 0.005 (95% confidence interval = 0.002-0.007). NRI was also better with LLFDI-FUNCTION.ConclusionThe LLFDI-FUNCTION predicted postoperative complications slightly better than the FP. Further studies are needed to confirm these findings and validate the use of the LLFDI-FUNCTION with the ACS Calculator for preoperative assessments of older adults.

Project description:Background Intrinsic capacity (IC) and frailty are complementary in advancing disability prevention through maintaining functionality. Objectives We examined the relationship between IC and frailty status at baseline and 1-year, and evaluated if IC decline predicts frailty onset among robust older adults. The secondary objectives investigated associations between IC, physical fitness and health-related outcomes. Design Prospective cohort study. Setting Community-based assessments. Participants Older adults aged>55 years, who were independent in ambulation (walking aids permitted). Measurements 5 domains of IC were assessed at baseline: locomotion (Short Physical Performance Battery, 6-minute walk test), vitality (nutritional status, muscle mass), sensory (self-reported hearing and vision), cognition (self-reported memory, age- and education adjusted cognitive performance), psychological (Geriatric Depression Scale-15, self-reported anxiety/depression). Composite IC (0–10) was calculated, with higher scores representing greater IC. Frailty status was based on modified Fried criteria, with frailty progression defined as incremental Fried score at 1-year. Results 809 participants (67.6+6.8 years) had complete data for all 5 IC domains. 489 (60.4%) participants were robust but only 213 (26.3%) had no decline in any IC domain. Pre-frail and frail participants were more likely to exhibit decline in all 5 IC domains (p<0.05), with decremental composite IC [9 (8–9), 8 (6–9), 5.5 (4–7.5), p<0.001] across robust, prefrail and frail. IC was significantly associated with fitness performance, independent of age and gender. Higher composite IC reduced risk for frailty progression (OR=0.62, 95% CI 0.48–0.80), and reduced frailty onset among robust older adults (OR=0.53, 95% CI 0.37–0.77), independent of age, comorbidities and social vulnerability. Participants with higher IC were less likely to experience health deterioration (OR=0.70, 95% CI 0.58–0.83), falls (OR=0.76, 95% CI 0.65–0.90) and functional decline (OR=0.64, 95% CI 0.50–0.83) at 1-year. Conclusion Declining IC may present before frailty becomes clinically manifest, increasing risk for poor outcomes. Monitoring of IC domains potentially facilitates personalized interventions to avoid progressive frailty. Electronic Supplementary Material Supplementary material is available for this article at 10.14283/jfa.2022.28 and is accessible for authorized users.

Project description:BackgroundPhysical frailty is a powerful tool for identifying nondisabled individuals at high risk of adverse outcomes. The extent to which cognitive impairment in those without dementia adds value to physical frailty in detecting high-risk individuals remains unclear.ObjectivesTo estimate the effects of combining physical frailty and cognitive impairment without dementia (CIND) on the risk of basic activities of daily living (ADL) dependence and death over 8 years.DesignProspective cohort study.SettingThe Health and Retirement Study (HRS).ParticipantsA total of 7338 community-dwelling people, 65 years or older, without dementia and ADL dependence at baseline (2006-2008). Follow-up assessments occurred every 2 years until 2014.MeasurementsThe five components of the Cardiovascular Health Study defined physical frailty. A well-validated HRS method, including verbal recall, series of subtractions, and backward count task, assessed cognition. Primary outcomes were time to ADL dependence and death. Hazard models, considering death as a competing risk, associated physical frailty and CIND with outcomes after adjusting for sociodemographics, comorbidities, depression, and smoking status.ResultsThe prevalence of physical frailty was 15%; CIND, 19%; and both deficits, 5%. In unadjusted and adjusted analyses, combining these factors identified older adults at an escalating risk for ADL dependence (no deficit = 14% [reference group]; only CIND = 26%, sub-hazard ratio [sHR] = 1.5, 95% confidence interval [CI] = 1.3-1.8; only frail = 33%, sHR = 1.7, 95% CI = 1.4-2.0; both deficits = 46%, sHR = 2.0, 95%CI = 1.6-2.6) and death (no deficit = 21%; only CIND = 41%, HR = 1.6, 95% CI = 1.4-1.9; only frail = 56%, HR = 2.2, 95% CI = 1.7-2.7; both deficits = 66%, HR = 2.6, 95% CI = 2.0-3.3) over 8-year follow-up. Adding the cognitive measure to models that already included physical frailty alone increased accuracy in identifying those at higher risk of ADL dependence (Harrell's concordance [C], 0.74 vs 0.71; P < .001) and death (Harrell's C, 0.70 vs 0.67; P < .001).ConclusionPhysical frailty and CIND are independent predictors of incident disability and death. Because together physical frailty and CIND identify vulnerable older adults better, optimal risk assessment should supplement measures of physical frailty with measures of cognitive function. J Am Geriatr Soc 67:477-483, 2019.

Dataset Information

Physical Function and Frailty for Predicting Adverse Outcomes in Older Primary Care Patients.

Objective

Design

Setting

Participants

Interventions

Main outcome measures

Results

Conclusions

Publications

Physical Function and Frailty for Predicting Adverse Outcomes in Older Primary Care Patients.

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets