83 A Deficit Accumulation Frailty Index Predicts Mortality in Older South Africans: Findings from the HAALSI Study

2020 ◽  
Vol 49 (Supplement_1) ◽  
pp. i27-i27
Author(s):  
F J Barker ◽  
J I Davies ◽  
F X Gomez-Olive ◽  
K Kahn ◽  
F E Matthews ◽  
...  

Abstract Introduction Few studies have investigated frailty in older people in sub-Saharan Africa, yet such information is vital to prepare responses to rapid population ageing. We aimed to derive and test a cumulative deficit frailty index in a population of older people from rural South Africa. Methods We analysed data from the Health and Ageing in Africa: Longitudinal Studies of an INDEPTH Community (HAALSI) study, which enrolled participants aged 40 years and older nested within the Agincourt Health and Demographic Survey Site, South Africa. We created a 32-variable cumulative deficit frailty index using questionnaire (illnesses, symptoms and activities of daily living), physical performance and physiological indices, and blood test results. Each variable was dichotomised to 1 (deficit) or 0 (no deficit). The frailty index for each individual was calculated as the mean of all frailty variables. Frailty categories were defined using cut-offs from the UK electronic frailty index: 0-0.12 (non-frail), >0.12-0.24 (mild frailty), >0.24-0.36 (moderate frailty) and >0.36 (severe frailty). Cox proportional hazards models, both unadjusted and adjusted for age and sex, were fitted to test the association between frailty status and all-cause mortality. Results We analysed data from 3989 participants, mean age 61 years (SD 13); 2175 (54.5%) were female. The mean follow-up period was 17 months; 1464 (36.7%) were non-frail, 2059 (51.6%) had mild frailty, 402 (10.1%) had moderate frailty and 64 (1.6%) had severe frailty. A total of 135 (3.4%) died. Adjusted Cox models showed worse frailty category was associated with higher risk of death compared with non-frail individuals: hazard ratios 1.94 (95% CI 1.23, 3.07) for mild frailty, 3.25 (95% CI 1.86, 5.68) for moderate frailty, and 5.50 (95% CI 2.44, 12.40) for severe frailty. Conclusions Frailty measured by a cumulative deficits index is common and predicts mortality in a rural population of older South Africans.

2021 ◽  
Vol 39 (15_suppl) ◽  
pp. 10045-10045
Author(s):  
AnnaLynn M. Williams ◽  
Jeanne S. Mandelblatt ◽  
Mingjuan Wang ◽  
Kirsten K. Ness ◽  
Gregory T. Armstrong ◽  
...  

10045 Background: Survivors of childhood cancer have functional limitations and health-related morbidity consistent with an accelerated aging phenotype. We characterized aging using a Deficit Accumulation Index (DAI) which examines the accumulation of multiple aging-related deficits readily available from medical records and self-report. DAI’s are used as surrogates of biologic aging and are validated to predict mortality in adult cancer patients. Methods: We included childhood cancer survivors (N = 3,758, mean age 30 [SD 8], 22 [9] years post diagnosis, 52% male) and community controls (N = 575, mean age 34 [10] 44% male) who completed clinical assessments and questionnaires and who were followed for mortality through December 31st, 2018 (mean follow-up 6.1 [3.1] years). Using the initial SJLIFE clinical assessment, a DAI score was generated as the proportion of deficits out of 44 items related to aging, including chronic conditions (e.g. hearing loss, hypertension), psychosocial and physical function, and activities of daily living. The total score ranged 0 to 1; scores > 0.20 are robust, while moderate and large clinically meaningful differences are 0.02 and 0.06, respectively. Linear regression compared the DAI in survivors and controls with an age*survivor/control interaction and examined treatment associations in survivors. Cox-proportional hazards models estimated risk of death associated with DAI. All models were adjusted for age, sex, and race. Results: Mean [SD] of DAI was 0.17 [0.11] for survivors and 0.10 [0.08] for controls. 32% of survivors had a DAI above the 90th percentile of the control distribution (p < 0.001). After adjustment for covariates, survivors had a statistically and clinically meaningfully higher DAI score than controls (β = 0.072 95%CI 0.062, 0.081; p < 0.001). When plotted against age, the adjusted DAI at the average age of survivors (30 years) was 0.166 (95% CI 0.160,0.171), which corresponded to 60 years of age in controls, suggesting premature aging of 30 years. The mean difference in DAI between survivors and controls increased with age from 0.06 (95% CI 0.04, 0.07) at age 20 to 0.11 (95% CI 0.08, 0.13) at age 60, consistent with an accelerated aging phenotype (p = 0.014). Cranial radiation, abdominal radiation, cyclophosphamide, platinum agents, neurosurgery, and amputation were each associated with a higher DAI (all p≤0.001). Among survivors, a 0.06 increase in DAI was associated with a 41% increased risk of all-cause mortality (HR 1.41 95%CI 1.32, 1.50; p < 0.001). Conclusions: Survivors of childhood cancer experience significant age acceleration that is associated with an increased risk of mortality; longitudinal analyses are underway to validate these findings. Given the ease of estimating a DAI, this may be a feasible method to quickly identify survivors for novel and tailored interventions that can improve health and prevent premature mortality.


2019 ◽  
Vol 3 (Supplement_1) ◽  
pp. S86-S86
Author(s):  
Macy Zou ◽  
Ronald Kelly ◽  
Betty Chinda ◽  
Mckenzie Braley ◽  
Tony Zhang ◽  
...  

Abstract Frailty Index (FI), polypharmacy and cognition status are significant health concerns in older adults. We conducted this study to investigate the interplay of frailty, polypharmacy, and cognition, in determining health outcomes. InterRAI Residential Care (RAI-RC MDS2.0) data were retrieved from residential care homes in Surrey, BC, Canada. Older residents (65+ years) who had RAI-RC records between 2016 and 2018 were used in the analysis (n=976). A deficit accumulation-based FI was generated using 36 variables. Information on polypharmacy and cognition were obtained by accounting the total number of medications and the cognitive performance scale. Information on falls, emergency visits, and mortality were followed. Multivariate Cox proportional hazard models were used to examine the effects of these variables on different outcomes. The FI showed a near Gaussian distribution (median= 0.370 mean= 0.372 SD= 0.143), and increased linearly with age on a logarithm scale (R=0.75, p&lt;0.001). Residents with cognitive impairment showed a higher level of the FI (KW= 863.3, p&lt;0.001). A higher FI was associated with an increased risk of death (HR=15.2 p=0.006) and emergency visits (HR=2.72 p=0.048), adjusting for age, sex, medications, and education levels. Frailty, polypharmacy, and cognition levels are associated and have interactive effects on health outcomes. Ongoing research is to validate the findings with large samples in different health settings, and to understand the underlying processes of the effect. The close relationships between frailty, polypharmacy, and cognition with health outcomes call for effective integrated strategies for healthcare of older adults with multiple complex health problems.


2019 ◽  
Vol 40 (Supplement_1) ◽  
Author(s):  
C Wilkinson ◽  
O Todd ◽  
M Yadegarfar ◽  
A Clegg ◽  
C P Gale ◽  
...  

Abstract Background The prevalence of atrial fibrillation (AF) in older people is increasing, as is frailty. Frailty describes an increased vulnerability to adverse outcomes, whereby the balance of risk and benefit associated with an intervention may be more nuanced. However, there are limited data from a community setting on the prevalence of AF and frailty in older people. It is important to understand the burden of AF and frailty, and the associated impact on mortality and stroke disease in order to inform shared decision making with patients, and also inform guidelines for this increasing group of older people. Purpose To estimate the prevalence of AF and the burden of frailty in patients with AF, in a large primary care dataset. To report stroke and mortality by frailty group. Methods We used electronic health records of 537,051 patients in England aged 65 years or older on 31/12/2015, with follow-up for all-cause mortality and ischaemic or unclassified stroke to 11/04/2017. Patients with a history of AF were identified using Clinical Terms Version 3 (CTV-3) codes. Frailty was identified up to the point of study entry using the electronic frailty index (eFI, the proportion of deficits out of 36 possible deficits), and categorised into robust (0–0.12), mild (>0.12–0.24), moderate (>0.24–0.36) or severe (>0.36) frailty. Median CHA2DS2-VASc and ATRIA scores for patients with frailty were compared with the robust group using Mann-Whitney. The association between frailty status, all-cause mortality and stroke was calculated using Cox proportional hazards models, adjusted for age and sex. Results Of the cohort, 61,177 patients (11.4%) had AF. Of those with AF, 27,987 (45.8%) were female, and 54,734 (89.5%) had frailty. 6,443 (10.5%) were classified as robust; 20,352 (33.3%) mildly frail; 20,315 (33.2%) moderately frail; and 14,067 (23.0%) severely frail. The median number of eFI-defined deficits among patients with AF was 9 (interquartile range [IQR] 6–12). Median stroke and bleeding scores were higher in those with frailty compared with the robust group (CHA2DS2-VASc 4 [IQR 3–5] v 2 [2–3], p≤0.001; ATRIA 4 [2–6] v 1 [0–2], p≤0.001). During 73,338 patient-years of follow-up, there were 6,805 (11.1%) deaths and 945 (1.54%) strokes. Compared with the robust group, all-cause mortality and stroke were higher with increasing frailty. Mortality: mild frailty hazard ratio 1.53 (95% confidence interval 1.29–1.80); moderate frailty 2.50 (2.13–2.94); severe frailty 4.26 (3.63–5.01). Stroke: mild frailty 1.36 (0.99–1.85); moderate frailty 1.67 (1.23–2.28); severe 1.99 (1.45–2.73). Kaplan-Meier survival curves by frailty Conclusion The prevalence of AF among those aged over 65 years in primary care in England is high, the majority of whom are frail. Increasing severity of frailty was associated with higher mortality and stroke rates. The extent to which the judicious use of oral anticoagulation may improve clinical outcomes for patients with AF and frailty is currently unknown. Acknowledgement/Funding CPG: Bayer, BMS, AstraZeneca, Novartis Vifor Pharma, Menerini


2020 ◽  
Vol 20 (1) ◽  
Author(s):  
Peter Lloyd-Sherlock ◽  
Sutapa Agrawal ◽  
Francesc Xavier Gómez-Olivé

Abstract Background Increasing numbers of older people in sub-Saharan Africa are gaining access to pension benefits and it is often claimed that these benefits promote healthy forms of consumption, which contribute to significant improvements in their health status. However, evidence to support these claims is limited. Methods The paper uses data for 2701 people aged 60 or over who participated in a population-based study in rural north-eastern South Africa. It analyses effects of receiving a pension on reported food scarcity, body mass index and patterns of consumption. Results The paper finds that living in a pension household is associated with a reduced risk of reported food scarcity and with higher levels of consumption of food and drink. The paper does not find that living in a pension household is associated with a higher prevalence of current smoking nor current alcohol consumption. However, the paper still finds that tobacco and alcohol make up over 40% of reported food and drink consumption, and that the correlation between reported food scarcity and body mass index status is imperfect. Conclusions The paper does not show significant associations between pension receipt and the selected risk factors. However, the context of prevalent obesity and high shares of household spending allocated to tobacco and alcohol call into question widely-made claims that pensions enhance healthy consumption among older people in low and middle-income countries.


BMJ Open ◽  
2021 ◽  
Vol 11 (11) ◽  
pp. e049157
Author(s):  
Kyohei Shiomoto ◽  
Akira Babazono ◽  
Yumi Harano ◽  
Takako Fujita ◽  
Peng Jiang ◽  
...  

ObjectivesThe purpose of this study was to investigate the incidence of vertebral and hip fractures in the older people and to clarify the relationship between these fractures and body mass index (BMI) along with the impact of sex differences.DesignThis was a retrospective cohort study.SettingWe used administrative claims data between April 2010 and March 2018.ParticipantsOlder people aged ≥75 years who underwent health examinations in 2010 and were living in the Fukuoka Prefecture, Japan were included in the study. A total of 24 691 participants were included; the mean age was 79.4±4.3 years, 10 853 males and 13 838 females, and an the mean duration of observation was 6.9±1.6 years.Primary and secondary outcome measuresWe estimated the incidence of vertebral and hip fractures by BMI category (underweight: <18.5 kg/m2, normal weight: 18.5–24.9 kg/m2, overweight and obese: ≥25.0 kg/m2) using a Kaplan-Meier curve in males and females and determined fracture risk by sex using Cox proportional hazards regression analyses.ResultsThe incidence of vertebral and hip fractures was 16.8% and 6.5%, respectively. The cumulative incidence of vertebral and hip fracture at the last observation (8 years) in each BMI groups (underweight/normal weight/overweight and obese) estimated using the Kaplan-Meier curve was 14.7%/10.4%/9.0% in males and 24.9%/23.0%/21.9% in females, and 6.3%/2.9%/2.4% in males and 14.1%/9.0%/8.1% in females, respectively, and both fractures were significantly higher in underweight groups regardless of sex. Multivariable Cox proportional hazards models showed that underweight was a significant risk factor only in males for vertebral fractures and in both males and females for hip fractures.ConclusionUnderweight was associated with fractures in the ageing population, but there was a sex difference in the effect for vertebral fractures.


2020 ◽  
Author(s):  
Mario Ulises Pérez-Zepeda ◽  
Judith Godin ◽  
Joshua J Armstrong ◽  
Melissa K Andrew ◽  
Arnold Mitnitski ◽  
...  

Abstract Background frailty is a public health priority now that the global population is ageing at a rapid rate. A scientifically sound tool to measure frailty and generate population-based reference values is a starting point. Objective in this report, our objectives were to operationalize frailty as deficit accumulation using a standard frailty index (FI), describe levels of frailty in Canadians ≥45 years old and provide national normative data. Design this is a secondary analysis of the Canadian Longitudinal Study on Aging (CLSA) baseline data. Setting/participants about 51,338 individuals (weighted to represent 13,232,651 Canadians), aged 45–85 years, from the tracking and comprehensive cohorts of CLSA. Methods after screening all available variables in the pooled dataset, 52 items were selected to construct an FI. Descriptive statistics for the FI and normative data derived from quantile regressions were developed. Results the average age of the participants was 60.3 years (95% confidence interval [CI]: 60.2–60.5), and 51.5% were female (95% CI: 50.8–52.2). The mean FI score was 0.07 (95% CI: 0.07–0.08) with a standard deviation of 0.06. Frailty was higher among females and with increasing age, and scores &gt;0.2 were present in 4.2% of the sample. National normative data were identified for each year of age for males and females. Conclusions the standardized frailty tool and the population-based normative frailty values can help inform discussions about frailty, setting a new bar in the field. Such information can be used by clinicians, researchers, stakeholders and the general public to understand frailty, especially its relationship with age and sex.


Author(s):  
Rebecca Abey-Nesbit ◽  
Nancye M Peel ◽  
Hector Matthews ◽  
Ruth E Hubbard ◽  
Prasad S Nishtala ◽  
...  

Abstract Background Little is known about the prevalence of frailty in indigenous populations. We developed a frailty index (FI) for older New Zealand Māori and Pasifika who require publicly funded support services. Methods An FI was developed for New Zealand adults aged 65 and older who had an interRAI Home Care assessment between June 1, 2012 and October 30, 2015. A frailty score for each participant was calculated by summing the number of deficits recorded and dividing by the total number of possible deficits. This created a FI with a potential range from 0 to 1. Linear regression models for FIs with ethnicity were adjusted for age and sex. Cox proportional hazards models were used to assess the association between the FI and mortality for Māori, Pasifika, and non-Māori/non-Pasifika. Results Of 54 345 participants, 3096 (5.7%) identified as Māori, 1846 (3.4%) were Pasifika, and 49 415 (86.7%) identified as neither Māori nor Pasifika. New Zealand Europeans (48 178, 97.5%) constituted most of the latter group. Within each sex, the mean FIs for Māori and Pasifika were greater than the mean FIs for non-Māori and non-Pasifika, with the difference being more pronounced in women. The FI was associated with mortality (Māori subhazard ratio [SHR] 2.53, 95% CI 1.63–3.95; Pasifika SHR 6.03, 95% CI 3.06–11.90; non-Māori and non-Pasifika SHR 2.86, 95% CI 2.53–3.25). Conclusions This study demonstrated differences in FI between the ethnicities in this select cohort. After adjustment for age and sex, increases in FI were associated with increased mortality. This suggests that FI is predictive of poor outcomes in these ethnic groups.


2021 ◽  
Author(s):  
Anna M Stadelman ◽  
Kenneth Ssebambulidde ◽  
Lillian Tugume ◽  
Katelyn A Pastick ◽  
Kathy Huppler Hullsiek ◽  
...  

Abstract The role of biological sex on clinical outcomes and the pathogenesis of AIDS-related opportunistic infections is unknown. We assessed baseline biomarkers and outcomes between 577 men and 400 women in HIV-related cryptococcal meningitis cohorts in Uganda and South Africa from 2010 to 2017. We compared 10-week mortality by sex via Cox proportional hazards models. The 10-week mortality for women was 50% (198/400) and 43% (247/577) for men. Women had higher risk of death in an unadjusted model (Hazard Ratio (HR) = 1.20; 95%CI, 1.00–1.45; P = .05). Women maintained a higher risk when adjusting for quantitative CSF culture, altered mental status, CSF pleocytosis, age, and antiretroviral status (HR = 1.31; 95%CI, 1.07–1.59; P &lt; .01). However, after adjusting for hemoglobin, the risk of death did not differ between women and men (HR = 1.17; 95%CI, 0.94–1.45; P = .17). Moderate to severe anemia (hemoglobin &lt; 8.5 g/dL) was present among 16% (55/355) of women and 10% (55/532) of men (P = .02). Of the 373 participants with CSF biomarkers, men had higher median pro- and anti-inflammatory, monocyte/macrophage differentiation, maturation, and migration, immune exhaustion, and cytotoxicity cytokines than women (P &lt; .05). We identified biological sex as proxy for anemia, a potentially modifiable risk factor for cryptococcal meningitis mortality. Immune response may contribute to the multifaceted underlying mechanisms for the discrepancy in mortality based on sex. Lay Summary We examined the role of biological sex in cryptococcal meningitis mortality in a large cohort. Our findings reveal significant differences in inflammatory markers by biological sex. Women have significantly higher mortality due to cryptococcal meningitis that is attributable to anemia at baseline.


2014 ◽  
Vol 41 (4) ◽  
pp. 698-705 ◽  
Author(s):  
Michael R. Rockwood ◽  
Ellen MacDonald ◽  
Evelyn Sutton ◽  
Kenneth Rockwood ◽  
Murray Baron ◽  
...  

Objective.To develop and validate, as a measure of overall health status, a Frailty Index (FI) for patients (n = 1372) in the Canadian Scleroderma Research Group (CSRG) Registry.Methods.Forty-four items were selected from the CSRG database as health deficits and recoded using FI criteria. To test construct validity, we compared measurement properties of the CSRG-FI to other FI, and related it to measures of damage, age, and time since diagnosis. To test criterion validity, we compared the baseline FI to that at last recorded visit and to mortality.Results.The mean CSRG-FI was 0.33 with a sub-maximal limit of 0.67. In patients with diffuse disease, the mean was 0.38(SD 0.14); in patients with limited disease, the mean was 0.31(SD 0.13). The CSRG-FI was weakly (but significantly) correlated with the Rodnan Skin Score (r = 0.28 in people with diffuse disease; 0.18 with limited) and moderately with the Physician Assessment of Damage (r = 0.51 for both limited and diffuse). The risk of death increased with higher FI scores and with higher physician ratings of damage. The area under the receiver operating characteristic curve for the baseline FI in relation to death was 0.75, higher than for other measures (range: 0.57–0.67).Conclusion.The FI quantifies overall health status in people with scleroderma and predicts mortality. Whether the FI might help with decisions about who might best be served by more aggressive treatment, such as bone marrow transplantation, needs to be evaluated.


Kidney360 ◽  
2021 ◽  
pp. 10.34067/KID.0001892021
Author(s):  
George Worthen ◽  
Amanda Vinson ◽  
Héloise Cardinal ◽  
Steve Doucette ◽  
Nessa Gogan ◽  
...  

Background: Comparisons between frailty assessment tools for waitlist candidates are a recognized priority area for kidney transplantation. We compared the prevalence of frailty using three established tools in a cohort of waitlist candidates. Methods: Waitlist candidates were prospectively enrolled from 2016-2020 across five centers. Frailty was measured using the Frailty Phenotype (FP, as well as a 37 variable Frailty Index (FI), and the Clinical Frailty Scale (CFS). The FI and CFS were dichotomized using established cut-offs. Agreement was compared using kappa coefficients. Area under the receiver operator characteristic curves were generated to compare the FI and CFS (treated as continuous measures) to the FP. Unadjusted associations between each frailty measure and time to death or waitlist withdrawal were determined using an unadjusted Cox proportional hazards model. Results: Of 542 enrolled patients, 64% were male, 80% were white, and the mean age was 54+/-14. The prevalence of frailty by the FP was 16%. The mean FI score was 0.23+/-0.14 and the prevalence of frailty was 38% (score of >0.25). The median CFS score was 3 (IQR 2,3), and the prevalence was 15% (score of ≥4). Kappa values comparing the FP to the FI (0.438) and CFS (0.272) showed fair to moderate agreement. Area under the ROC curve for the FP and FI/CFS were 0.86 (good) and 0.69 (poor) respectively. Frailty by the CFS (HR 2.10; 95% CI (1.04, 4.24) and FI (HR 1.79; 95% CI 1.00,3.21) was associated with death or permanent withdrawal. The association between frailty by the FP and death/withdrawal was not statistically significant (HR 1.78; CI 0.786, 3.71). Conclusion: Frailty prevalence varies by measurement tool used, and agreement between these measurements is fair to moderate. This has implications for determining the optimal frailty screening tool for use in those being evaluated for kidney transplant.


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