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Self-Reported Function More Informative than Frailty Phenotype in Predicting Adverse Postoperative Course in Older Adults.

ABSTRACT: BACKGROUND/OBJECTIVE:Current 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. DESIGN:Prospective cohort. SETTING:Two tertiary care academic medical centers in Massachusetts. PARTICIPANTS:Individuals aged 65 and older undergoing any surgery with a risk of serious complication of 5% or greater (N = 403). MEASUREMENTS:We 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. CONCLUSION:The 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.

SUBMITTER: Kapoor A

PROVIDER: S-EPMC5681367 | biostudies-literature | 2017 Nov

REPOSITORIES: biostudies-literature

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Self-Reported Function More Informative than Frailty Phenotype in Predicting Adverse Postoperative Course in Older Adults.

Kapoor Alok A Matheos Theofilos T Walz Matthias M McDonough Christine C Maheswaran Abiramy A Ruppell Evan E Mohamud Deeqo D Shaffer Nicholas N Zhou Yanhua Y Kaur Shubjeet S Heard Stephen S Crawford Sybil S Cabral Howard H White Daniel K DK Santry Heena H Jette Alan A Fielding Roger R Silliman Rebecca A RA Gurwitz Jerry J

Journal of the American Geriatrics Society 20170919 11

<h4>Background/objective</h4>Current 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.<h4>Design</h4>Prospective cohort.<h4>Setting</h4>Two tertiary care academic medical center ...[more]

PMID: 28926087

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Project description:Frailty is considered a predictor for negative outcomes such as disability, decreased quality of life, and hospital admission. Frailty measures have been developed that include different dimensions. We examined whether people who are physically frail are more at risk for negative outcomes of frailty if they also suffer from psychological, cognitive, or social frailty. Frailty was measured at baseline by means of the Groningen Frailty Indicator (GFI), which comprises a physical, cognitive, social, and psychological dimension. Only frail persons were included in the study (GFI ≥ 5) that, in addition, had to be frail in the physical dimension (i.e., ≥1 on this dimension). IADL disability and quality of life were measured at baseline and at 12 months. Hospital admission was assessed during this period. In this, physically frail sample effects of the other three frailty dimensions were studied in regression models. The sample (n = 334, mean age 78.1, and range 70-92) included 40.1 % frail men and 59.9 % frail women. Overall, no additional effects for the cognitive, social, or psychosocial dimensions were found: other frailty dimensions did not have an additional impact on disability, quality of life, or hospital admission in people who already suffered from physical frailty. Higher scores of physical frailty were significantly related to IADL disability (p < 0.05) and hospital admission (p < 0.05). Additional analysis showed that the physical frailty score predicted IADL disability and hospital admission better than the GFI overall score. Results of this study suggest that persons, who are physically frail, according to the GFI, are not more at risk for negative outcomes of frailty (i.e., IADL disability, decreased quality of life, and hospital admission) if they in addition suffer from cognitive, social, or psychological frailty. In addition, for the prediction of IADL disability or hospital admission, the focus for screening should be on the physical frailty score instead of the GFI overall score including different dimensions.

Project description:ObjectivesTo determine the association of the frailty phenotype with subsequent healthcare costs and utilization.DesignProspective cohort study (Osteoporotic Fracture in Men [MrOS]).SettingSix US sites.ParticipantsA total of 1,514 community-dwelling men (mean age = 79.3 years) participating in the MrOS Year 7 (Y7) examination linked with their Medicare claims data.MeasurementsAt Y7, the frailty phenotype was operationalized using five components and categorized as robust, pre-frail, or frail. Multimorbidity and a frailty indicator (approximating the deficit accumulation index) were derived from claims data. Functional limitations were assessed by asking about difficulty performing instrumental activities of daily living. Total direct healthcare costs and utilization were ascertained during 36 months following Y7.ResultsMean of total annualized costs (2018 dollars) was $5,707 (standard deviation [SD] = 8,800) among robust, $8,964 (SD = 18,156) among pre-frail, and $20,027 (SD = 27,419) among frail men. Compared with robust men, frail men (cost ratio [CR] = 2.35; 95% confidence interval [CI] = 1.88-2.93) and pre-frail men (CR = 1.28; 95% CI = 1.11-1.48) incurred greater total costs after adjustment for demographics, multimorbidity, and cognitive function. Associations of phenotypic pre-frailty and frailty with higher total costs were somewhat attenuated but persisted after further consideration of functional limitations and a claims-based frailty indicator. Each individual frailty component was also associated with higher total costs. Frail vs robust men had higher odds of hospitalization (odds ratio [OR] = 2.62; 95% CI = 1.75-3.91) and skilled nursing facility (SNF) stay (OR = 3.36; 95% CI = 1.83-6.20). A smaller but significant effect of the pre-frail category on SNF stay was present.ConclusionPhenotypic pre-frailty and frailty were associated with higher subsequent total healthcare costs in older community-dwelling men after accounting for a claims-based frailty indicator, functional limitations, multimorbidity, cognitive impairment, and demographics. Assessment of the frailty phenotype or individual components such as slowness may improve identification of older community-dwelling adults at risk for costly extensive care.

Project description:ObjectivesTo determine the association of the frailty phenotype with subsequent healthcare costs and utilization.DesignProspective cohort study (Study of Osteoporotic Fractures (SOF)).SettingFour U.S. sites.ParticipantsCommunity-dwelling women (mean age 80.2) participating in SOF Year 10 (Y10) examination linked with their Medicare claims data (N=2,150).MeasurementsAt Y10, frailty phenotype defined using criteria similar to those used in the Cardiovascular Health Study frailty phenotype and categorized as robust, intermediate stage, or frail. Participant multimorbidity burden ascertained using claims data. Functional limitations assessed by asking about difficulty performing instrumental activities of daily living. Total direct healthcare costs and utilization ascertained during 12 months after Y10.ResultsMean total annualized cost±standard deviation (2014 dollars) was $3,781±6,920 for robust women, $6,632±12,452 for intermediate stage women, and $10,755 ± 16,589 for frail women. After adjustment for age, site, multimorbidity burden, and cognition, frail women had greater mean total (cost ratio (CR)=1.91, 95% confidence interval (CI)=1.59-2.31) and outpatient (CR=1.55, 95% CI=1.36-1.78) costs than robust women and greater odds of hospitalization (odds ratio (OR)=2.05, 95% CI=1.47-2.87) and a skilled nursing facility stay (OR=3.85, 95% CI=1.88-7.88). There were smaller but significant effects of the intermediate stage category on these outcomes. Individual frailty components (shrinking, poor energy, slowness, low physical activity) were also each associated with higher total costs. Functional limitations partially mediated the association between the frailty phenotype and total costs (CR further adjusted for self-reported limitations=1.32, 95% CI=1.07-1.63 for frail vs robust; CR=1.35, 95% CI=1.18-1.55 for intermediate stage vs robust women).ConclusionIntermediate stage and frail older community-dwelling women had higher subsequent total healthcare costs and utilization after accounting for multimorbidity and functional limitations. Frailty phenotype assessment may improve identification of older adults likely to require costly, extensive care.

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Self-Reported Function More Informative than Frailty Phenotype in Predicting Adverse Postoperative Course in Older Adults.

Publications

Self-Reported Function More Informative than Frailty Phenotype in Predicting Adverse Postoperative Course in Older Adults.

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