Pro-Inflammatory Proteins Associated with Frailty and Its Progression-A Longitudinal Study in Community-Dwelling Women.

The complex pathophysiology underlying biological aging creates challenges for identifying biomarkers associated with frailty. This longitudinal, nontargeted proteomics study aimed to identify proteins associated with frailty, particularly the change from nonfrail to frail. The population-based Osteoporosis Prospective Risk Assessment cohort includes women all of whom are 75 years old at inclusion (n = 1044) and reassessed at 80 years (n = 715) and 85 years (n = 382). A deficits in health frailty index (FI) and 92 plasma proteins (Olink CVD-II panel) were available at all ages. The identical age facilitated differentiating chronological and biological aging. Bidirectional analyses, performed cross-sectionally and longitudinally, used regression models controlled for false discovery rate (FDR), across 5- and 10-year time windows and longitudinal mixed models. Frailty outcomes were frailty index, frailty status (frail defined as FI ≥ 0.25), change in frailty index, and change in frailty status, together with protein expression or change in protein expression. Elevated levels of 32 proteins were positively associated with the FI, cross-sectionally at all ages (range: ß-coefficients 0.22-2.06; FDR 0.021-0.024), of which 18 were also associated with frailty status (range: odds ratios 1.40-5.77; FDR 0.022-0.016). Based on the accrued data, eight core proteins (CD4, FGF23, Gal-9, PAR-1, REN, TNFRSF10A TNFRSF11A, and TNFRSF10B) are proposed. A one-unit change in the FI was additively associated with increased protein expression over 5 and 10 years (range: ß-coefficients 0.52-1.59; p < 0.001). Increments in baseline FI consistently associated with a change in protein expression over time (5 years, ß-range 0.05-1.35; 10 years, ß-range 0.51-1.48; all p < 0.001). A one-unit increase in protein expression was also associated with an increased probability of being frail (FI ≥ 0.25) (ß-range: 0.14-0.61). Mirroring the multisystem deterioration that typifies frailty, the proteins and their associated biological pathways reflect pathologies, including the renal system, skeletal homeostasis, and TRAIL-activated apoptotic signaling. The core proteins are compelling candidates for understanding the development and progression of frailty with advancing age, including the intrinsic musculoskeletal component. © 2023 The Authors. Journal of Bone and Mineral Research published by Wiley Periodicals LLC on behalf of American Society for Bone and Mineral Research (ASBMR).

Can frailty in conjunction with FRAX identify additional women at risk of fracture - a longitudinal cohort study of community dwelling older women.

BACKGROUND: Fracture risk assessment is still far from perfect within the geriatric population. The overall aim of this study is to better identify older women at risk for fractures, using a quantitative measure of frailty in conjunction with the web-based Fracture Risk Assessment Tool (FRAX®). METHODS: This study was performed in the Osteoporosis Risk Assessment (OPRA) cohort of n = 1023, 75-year-old women followed for 10-years. A frailty index (FI) of 'deficits in health' was created, and FRAX 10-year probability for major osteoporotic and hip fractures was calculated and bone mineral density measured. Incident fractures were continuously registered for 10-years. Receiver Operating Characteristic (ROC) curves were used to compare FI, FRAX and the combination FI + FRAX as instruments for risk prediction. Discriminative ability was estimated by comparing Area Under the Curve (AUC). In addition, using guidelines from the Swedish Osteoporosis Foundation, a category of low risk women who would not have been recommended for pharmacological treatment (non-treatment group) was identified, categorized by frailty status and for relative risk analysis, hazard ratios (HR) and 95% confidence intervals were calculated using Cox proportional hazard regressions. RESULTS: For hip fracture, FRAX and frailty performed almost equally (HIP AUC 10y: 0.566 vs. 0.567, p = 0.015 and p = 0.013). Next, FI was used in conjunction with FRAX; proving marginally better than either score alone (AUC 10y: 0.584, p = 0.002). Comparable results were observed for osteoporotic fracture. In the non-treatment group (564 women), being frail was associated with higher 10y hip fracture risk (HR 2.01 (1.13-3.57)), although failing to reach statistical significance for osteoporotic fracture (HR 1.40 (0.97-2.01). The utility of measuring frailty was also demonstrated when using T-score as an index of bone density to define fracture risk. Among n = 678 non-osteoporotic women, frailty added to the 10-year fracture risk (Hip; HR 2.22 (1.35-3.71); Osteoporotic fracture; HR 1.57 (1.15-2.14)). CONCLUSIONS: While the addition of frailty to FRAX marginally improved fracture prediction, applying a frailty measurement to a group of 'low risk' women, identified a set of individuals with high actual hip fracture risk that would not be prioritized for pharmacological treatment. Further cost-benefit analysis studies are needed to formally test potential benefit.

A "snap-shot" visual estimation of health and objectively measured frailty: capturing general health in aging older women.

BACKGROUND: In clinic, a subjective visual estimation of a patient's general health often guides interventions, yet little is known of how this assessment relates to objectively measured frailty. AIMS: To characterize the relationship between these two assessments and explore the implication of discordance. METHODS: The study was performed in the OPRA cohort of 75-year old community-dwelling women (n = 1044). Visual perception of health (VPH) was estimated within 15 s from first sight and stratified into tertiles (poor/intermediate/good health). Frailty was measured using a frailty index (FI) (scored 0.0-1.0) and stratified into tertiles: 'frail' (≥ 0.22), 'pre-frail' (0.13-0-21) and 'non-frail' (≤ 0.12). Association between VPH and FI and with 10-year mortality was evaluated using Kaplan Meier curves and Cox proportional hazard models. RESULTS: VPH and FI correlated, but was strongest in those perceived to be in poor health (rs = 0.424, p < 0.001). Approximately half of these women were also objectively frail (53.7%). Similarly, 50.7% perceived to be in good health were also objectively non-frail. However, for one in ten, perceived health was discordant with measured frailty. Subjective and objective measures were associated with mortality, but VPH lacked discrimination in healthier looking women (p = 0.372) compared to FI (p = 0.002). DISCUSSION: Detecting pre-frailty is important to prevent or slow the transition into a frail state. The frailest can be identified with a visual estimation, but only objective frailty assessments can reliably identity pre-frailty. CONCLUSIONS: A visual estimation of health provides valuable complementary information on health, whereas objective assessment of frailty has a broader applicability for health in aging.

Frailty and prediction of recurrent falls over 10 years in a community cohort of 75-year-old women.

BACKGROUND: Frailty captures the age-related declines in health leading to increased vulnerability, including falls which are commonplace in older women. The relationship between frailty and falls is complex, with one leading to the other in a vicious cycle. AIMS: This study addresses the gap in understanding how patterns of frailty and falls propensity interact, particularly in those who have not yet entered the falls-frailty cycle. METHODS: The Osteoporosis Risk Assessment cohort consists of 1044 community-dwelling women aged 75, with 10 years of follow-up. Investigations were performed and a frailty index constructed at baseline, 5 and 10 years. Falls were self-reported for each previous 12 months. Analysis was two-directional, firstly based on frailty status and second, based on falls status. Recurrent falls was the primary outcome. RESULTS: Baseline frailty was a significant predictor of recurrent falls after 5 and 10 years [(OR 2.55 (1.62-3.99); 3.04 (1.63-5.67)]. Among women who had no history of falls at age 75, frailty was a stronger predictor of falls at 5 years [OR 3.06 (1.59-5.89)] than among women who had previously fallen. DISCUSSION: Frailty is significantly associated with recurrent falls and most pronounced in those who are frail but have not yet fallen. CONCLUSIONS: This suggests that frailty should be an integral part of falls-risk assessment to improve identification of those at risk of becoming fallers.

Association Between Vitamin D, Frailty, and Progression of Frailty in Community-Dwelling Older Women.

CONTEXT: Vitamin D (25OHD) is involved in many physiological functions that decline with age, contributing to frailty and increased risk for negative health outcomes. Whether 25OHD is a long-term risk marker for frailty over a longer time and whether it is consistent with advancing age is unclear. OBJECTIVE: To investigate the association between 25OHD and frailty in older women followed for 10 years. DESIGN AND SETTING: Prospective, population-based, cohort study in Malmö, Sweden. PARTICIPANTS: Community-dwelling women, age 75 years (N = 1044) with reassessments at ages 80 (n = 715) and 85 (n = 382) years. METHODS: Frailty was quantified using a 10-variable frailty index. Women were categorized as 25OHD insufficient (<50 nmol/L) or sufficient (≥50 nmol/L). RESULTS: At ages 75 and 80 years, women with insufficient 25OHD were frailer than women with sufficient 25OHD (0.23 vs 0.18, P < 0.001; and 0.32 vs 0.25, P = 0.001, respectively). At age 80 years, 25OHD insufficiency was associated with subsequent frailty 5 years later (0.41 vs 0.32; P = 0.011). Accelerated progression of frailty was not associated with lower 25OHD levels, and 25OHD level >75 nmol/L was not additionally beneficial with regard to frailty. No association between 25OHD and frailty was observed at age 85 years. Within the frailty index, variables associated with 25OHD were related to muscle strength and function. CONCLUSION: In this study, 25OHD insufficiency was associated with increased frailty in all but the oldest old. This study supports the value of maintaining sufficient 25OHD levels for healthy aging.

Musculoskeletal health and frailty.

Frailty is a consequence of advanced aging, where the frailty phenotype tries to capture overall decline in health. Frailty involves multiple physiological systems that are intrinsically inter-related and with highly complex interactions. Frailty is closely linked to musculoskeletal health; musculoskeletal functioning is a key component in quantifying frailty, while at the same time, frailty is associated with the most common age-related musculoskeletal conditions: osteoporosis, fractures, falls, osteoarthritis, and spinal conditions. Beyond that, frailty includes additional physical domains such as nutrition and energy, psychological, and social factors. Despite its recognized role in aging health, there is still a lack of consensus on a core set of variables and how to best define clinically relevant thresholds. This would be of utmost importance for additional use to evaluate many aspects associated with musculoskeletal health, progression and personalized interventions, and rehabilitation.