frailty index
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Author(s):  
Benjamin Seligman ◽  
Sarah D Berry ◽  
Lewis A Lipsitz ◽  
Thomas G Travison ◽  
Douglas P Kiel

Abstract Age-associated changes in DNA methylation have been implicated as one mechanism to explain the development of frailty, however previous cross-sectional studies of epigenetic age acceleration (eAA) and frailty have had inconsistent findings. Few longitudinal studies have considered the association of eAA with change in frailty. We sought to determine the association between eAA and change in frailty in the MOBILIZE Boston cohort. Participants were assessed at two visits 12-18 months apart. Intrinsic, extrinsic, GrimAge, and PhenoAge eAA were assessed from whole blood DNA methylation at baseline using the Infinium 450k array. Frailty was assessed by a continuous frailty score based on the frailty phenotype and by frailty index (FI). Analysis was by correlation and linear regression with adjustment for age, sex, smoking status, and BMI. 395 participants with a frailty score and 431 with a FI had epigenetic and follow-up frailty measures. For the frailty score and FI cohorts, respectively, mean (SD) ages were 77.8 (5.49) and 77.9 (5.47), 232 (58.7%) and 257 (59.6%) were female. All participants with epigenetic data identified as white. Baseline frailty score was not correlated with intrinsic or extrinsic eAA, but was correlated with PhenoAge and, even after adjustment for covariates, GrimAge. Baseline FI was correlated with extrinsic, GrimAge, and PhenoAge eAA with and without adjustment. No eAA measure was associated with change in frailty, with or without adjustment. Our results suggest that no eAA measure was associated with change in frailty. Further studies should consider longer periods of follow-up and repeated eAA measurement.


2022 ◽  
Vol 22 (1) ◽  
Author(s):  
Dai Zhang ◽  
Wen Tang ◽  
Li-Yang Dou ◽  
Jia Luo ◽  
Ying Sun

Abstract Background Frail patients with chronic obstructive pulmonary disease (COPD) face a higher risk of adverse outcomes, but there is no clear consensus on which frailty measures are most suitable for COPD patients. Herein we evaluated the ability of frailty measurements in predicting 1-year acute exacerbation, hospitalization, and mortality in older patients with COPD. Methods A total of 302 patients [median age: 86 years (IQR: 80–90), 22.2% female] were admitted to the Department of Geriatric Medicine were prospectively enrolled in this study. Frailty status was assessed using the Fried Frailty Phenotype (FFP), Clinical Frailty Scale (CFS), Frailty Index of Accumulative Deficits (FI-CD), and Short Physical Performance Battery (SPPB). Cox proportional hazard regression and Poisson regression were used to evaluating the association of the adverse outcomes with frailty as assessed using the four instruments. The discrimination accuracy of these tools in predicting the 1-year all-cause mortality was also compared. Results Prevalence of frailty ranged from 51% (using FFP) to 64.2% (using CFS). The four frail instruments were associated with 1-year mortality. After an average follow-up time of 2.18 years (IQR: 1.56–2.62 years), frailty as defined by four instruments (except for FI-CD), was associated with death [FFP: Hazard ratio (HR) = 3.11, 95% confidence interval (CI) 1.30–7.44; CFS: HR = 3.68, 95% CI 1.03–13.16; SPPB: HR = 3.74, 95% CI 1.39–10.06). Frailty was also associated with acute exacerbation (using FFP) and hospitalization (using FFP, CFS, and FI-CD). Frail showed a moderate predictive ability [area under the curve ranging (AUC) 0.70–0.80] and a high negative predictive value (0.98–0.99) for 1-year mortality. Conclusions With the four different frailty assessment tools, frailty was associated with poor prognosis in older patients with stable COPD. The FFP, CFS, FI-CD, and SPPB instruments showed similar performance in predicting 1-year mortality.


2022 ◽  
Author(s):  
Natalie D Jenkins ◽  
Emiel O Hoogendijk ◽  
Joshua J Armstrong ◽  
Nathan A Lewis ◽  
Janice M Ranson ◽  
...  

Abstract Background and Objectives There is an urgent need to better understand frailty and it’s predisposing factors. Although numerous cross-sectional studies have identified various risk and protective factors of frailty, there is a limited understanding of longitudinal frailty progression. Furthermore, discrepancies in the methodologies of these studies hamper comparability of results. Here, we use a coordinated analytical approach in five independent cohorts to evaluate longitudinal trajectories of frailty and the effect of three previously identified critical risk factors: sex, age, and education. Research Design and Methods We derived a frailty index (FI) for five cohorts based on the accumulation of deficits approach. Four linear and quadratic growth curve models were fit in each cohort independently. Models were adjusted for sex/gender, age, years of education, and a sex/gender-by-age interaction term. Results Models describing linear progression of frailty best fit the data. Annual increases in FI ranged from 0.002 in the InCHIANTI cohort to 0.009 in the LASA. Women had consistently higher levels of frailty than men in all cohorts, ranging from an increase in the mean FI in women from 0.014 in the HRS cohort to 0.046 in the LASA cohort. However, the associations between sex/gender and rate of frailty progression were mixed. There was significant heterogeneity in within-person trajectories of frailty about the mean curves. Discussion and Implications Our findings of linear longitudinal increases in frailty highlight important avenues for future research. Specifically, we encourage further research to identify potential effect modifiers or groups that would benefit from targeted or personalized interventions.


Author(s):  
Wenjian Zhou ◽  
Jianming Hou ◽  
Meng Sun ◽  
Chang Wang

China is about to enter a moderate aging society. In the process of social and economic development, the family socioeconomic status and health status of the elderly have also changed significantly. Learning the impact of family socioeconomic status on elderly health can help them improve family socioeconomic status and better achieve healthy and active aging. Using the data of the Chinese Longitudinal Healthy Longevity Survey in 2018, this study firstly analyzed the impact of family socioeconomic status on elderly health using the multivariate linear regression model and quantile regression model, the heterogeneity of different elderly groups using subsample regression, and the mediation effects of three conditions associated with the family socioeconomic status of the elderly. The results show that family socioeconomic status has a negative effect on the frailty index, that is, it has a positive impact on elderly health. Family socioeconomic status has a higher positive impact on the health status of the middle and lower age elderly and rural elderly. Overall living status and leisure and recreation status both have mediation effects, while health-care status has no mediation effect.


Author(s):  
Jorge L. Aguilar-Frasco ◽  
Francisco Armillas-Canseco ◽  
Fernanda Rivera-Sánchez ◽  
Paulina Moctezuma-Velázquez ◽  
Carlos Moctezuma-Velázquez ◽  
...  

Author(s):  
Salvatore Paiella ◽  
Matteo De Pastena ◽  
Alessandro Esposito ◽  
Erica Secchettin ◽  
Luca Casetti ◽  
...  

Abstract Background To compare the postoperative course of elderly patients (≥70 years) submitted to minimally invasive (MIDP) versus open distal pancreatectomy (ODP) and to evaluate if the modified Frailty Index (mFI) predicts the surgical course of elderly patients submitted to DP. Methods Data of patients aged ≥70 who underwent DP at a single institution between March 2011 and December 2019 were retrospectively retrieved. A 2:1 propensity score matching (PSM) was used to correct for differences in baseline characteristics. Then, postoperative complications were compared between the two groups (MIDP vs. ODP). Additionally, the entire cohort of DP elderly patients was stratified according to the mFI into three groups: non-frail (mFI = 0), mildly frail (mFI = 1/2), or severely frail (mFI = 3) and then compared. Results A total of 204 patients were analyzed. After PSM, 40 MIDP and 80 ODP patients were identified. The complications considered stratified homogenously between the two groups, with no statistically significant differences. The severity of the postoperative course increased as mFI did among the three groups regarding any complication (p = 0.022), abdominal collection (p = 0.014), pulmonary complication (p = 0.001), postoperative confusion (p = 0.047), Clavien-Dindo severity ≥3 events (p = 0.036), and length of stay (p = 0.018). Conclusions Elderly patients can be safely submitted to MIDP. The mFI identifies frail elderly patients more prone to develop surgical and non-surgical complications after DP.


Author(s):  
Markus J Haapanen ◽  
Juulia Jylhävä ◽  
Lauri Kortelainen ◽  
Tuija M Mikkola ◽  
Minna Salonen ◽  
...  

Abstract Background Early life exposures have been associated with the risk of frailty in old age. We investigated whether early life exposures predict the level and rate of change in a frailty index (FI) from midlife into old age. Methods A linear mixed model analysis was performed using data from three measurement occasions over 17 years in participants from the Helsinki Birth Cohort Study (n=2000) aged 57-84 years. A 41-item FI was calculated on each occasion. Information on birth size, maternal body mass index (BMI), growth in infancy and childhood, childhood socioeconomic status (SES), and early life stress (wartime separation from both parents), was obtained from registers and healthcare records. Results At age 57 years the mean FI level was 0.186 and the FI levels increased by 0.34 percent/year from midlife into old age. Larger body size at birth associated with a slower increase in FI levels from midlife into old age. Per 1kg greater birth weight the increase in FI levels per year was -0.087 percentage points slower (95% CI=-0.163, -0.011; p=0.026). Higher maternal BMI was associated with a higher offspring FI level in midlife and a slower increase in FI levels into old age. Larger size, faster growth from infancy to childhood, and low SES in childhood were all associated with a lower FI level in midlife but not with its rate of change. Conclusions Early life factors seem to contribute to disparities in frailty from midlife into old age. Early life factors may identify groups that could benefit from frailty prevention, optimally initiated early in life.


Author(s):  
Ariela R Orkaby ◽  
Rachel Ward ◽  
Jiaying Chen ◽  
Akshay Shanbhag ◽  
Howard D Sesso ◽  
...  

Abstract Background Inflammation is a central pathway leading to frailty but whether commonly used non-aspirin non-steroidal anti-inflammatory drugs (NSAIDs) can prevent frailty is unknown. Methods Prospective cohort study of male physicians ≥60 who participated in the Physicians’ Health Study. Annual questionnaires collected data on NSAID use, lifestyle and morbidity. Average annual NSAID use was categorized as 0 days/year, 1-12 days/year, 13-60 days/year, and >60 days/year. Frailty was assessed using a validated 33-item frailty index. Propensity score inverse probability of treatment weighting was used to address confounding by indication and logistic regression models estimated odds ratios (ORs) of prevalent frailty according to non-aspirin NSAID use. Results 12,101 male physicians were included (mean age 70±7 years, mean follow-up 11 years). Reported NSAID use was 0 days/year for 2,234, 1-12 days/year for 5,812, 13-60 days/year for 2,833, and >60 days/year for 1,222 participants. 2,413 participants (20%) were frail. Higher self-reported NSAID use was associated with greater alcohol use, smoking, arthritis, hypertension, and heart disease, while less NSAID use was associated with coumadin use and prior bleeding. After propensity score adjustment, all characteristics were balanced. ORs (95% CIs) of prevalent frailty were 0.90 (0.80-1.02), 1.02 (0.89-1.17), and 1.26 (1.07-1.49) for average NSAID use of 1-12 days/year, 13-60 days/year, and >60 days/year, compared to 0 days/year (p-trend<0.001). Conclusions Long term use of NSAIDs at high frequency is associated with increased risk of frailty among older men. Additional study is needed to understand the role of anti-inflammatory medication in older adults and its implication for overall health.


2022 ◽  
Vol 22 (1) ◽  
Author(s):  
Carole Fogg ◽  
Simon D. S. Fraser ◽  
Paul Roderick ◽  
Simon de Lusignan ◽  
Andrew Clegg ◽  
...  

Abstract Background Frailty is a common condition in older adults and has a major impact on patient outcomes and service use. Information on the prevalence in middle-aged adults and the patterns of progression of frailty at an individual and population level is scarce. To address this, a cohort was defined from a large primary care database in England to describe the epidemiology of frailty and understand the dynamics of frailty within individuals and across the population. This article describes the structure of the dataset, cohort characteristics and planned analyses. Methods Retrospective cohort study using electronic health records. Participants were aged ≥50 years registered in practices contributing to the Oxford Royal College of General Practitioners Research and Surveillance Centre between 2006 to 2017. Data include GP practice details, patient sociodemographic and clinical characteristics, twice-yearly electronic Frailty Index (eFI), deaths, medication use and primary and secondary care health service use. Participants in each cohort year by age group, GP and patient characteristics at cohort entry are described. Results The cohort includes 2,177,656 patients, contributing 15,552,946 person-years, registered at 419 primary care practices in England. The mean age was 61 years, 52.1% of the cohort was female, and 77.6% lived in urban environments. Frailty increased with age, affecting 10% of adults aged 50–64 and 43.7% of adults aged ≥65. The prevalence of long-term conditions and specific frailty deficits increased with age, as did the eFI and the severity of frailty categories. Conclusion A comprehensive understanding of frailty dynamics will inform predictions of current and future care needs to facilitate timely planning of appropriate interventions, service configurations and workforce requirements. Analysis of this large, nationally representative cohort including participants aged ≥50 will capture earlier transitions to frailty and enable a detailed understanding of progression and impact. These results will inform novel simulation models which predict future health and service needs of older people living with frailty. Study registration Registered on www.clinicaltrials.gov October 25th 2019, NCT04139278.


Cancers ◽  
2022 ◽  
Vol 14 (1) ◽  
pp. 244
Author(s):  
Claudia Martinez-Tapia ◽  
Marie Laurent ◽  
Elena Paillaud ◽  
Philippe Caillet ◽  
Emilie Ferrat ◽  
...  

Screening tools have been developed to identify patients warranting a complete geriatric assessment (GA). However, GA lacks standardization and does not capture important aspects of geriatric oncology practice. We measured and compared the diagnostic performance of screening tools G8 and modified G8 according to multiple clinically relevant reference standards. We included 1136 cancer patients ≥ 70 years old referred for GA (ELCAPA cohort; median age, 80 years; males, 52%; main locations: digestive (36.3%), breast (16%), and urinary tract (14.8%); metastases, 43.5%). Area under the receiver operating characteristic curve (AUROC) estimates were compared between both tools against: (1) the detection of ≥1 or (2) ≥2 GA impairments, (3) the prescription of ≥1 geriatric intervention and the identification of an unfit profile according to (4) a latent class typology, expert-based classifications from (5) Balducci, (6) the International Society of Geriatric Oncology task force (SIOG), or using (7) a GA frailty index according to the Rockwood accumulation of deficits principle. AUROC values were ≥0.80 for both tools under all tested definitions. They were statistically significantly higher for the modified G8 for six reference standards: ≥1 GA impairment (0.93 vs. 0.89), ≥2 GA impairments (0.90 vs. 0.87), ≥1 geriatric intervention (0.85 vs. 0.81), unfit according to Balducci (0.86 vs. 0.80) and SIOG classifications (0.88 vs. 0.83), and according to the GA frailty index (0.86 vs. 0.84). Our findings demonstrate the robustness of both screening tools against different reference standards, with evidence of better diagnostic performance of the modified G8.


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