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Dietary patterns contribute to overall health and diseases of ageing but are understudied in older adults. As such, we first aimed to develop dietary indices to quantify Mediterranean Diet Score (MDS) utilisation and Ultra-processed Food (UPF) intake in a well-characterised cohort of relatively healthy community-dwelling older Australian adults. Second, we aimed to understand the relationship between these scores and the association of these scores with prevalent cardiometabolic disease and frailty. Our major findings are that in this population of older adults, (a) pre-frailty and frailty are associated with reduced MDS and increased UPF intake; (b) adherence to MDS eating patterns does not preclude relatively high intake of UPF (and vice versa); and (c) high utilisation of an MDS eating pattern does not prevent an increased risk of frailty with higher UPF intakes. As such, the Mediterranean Diet pattern should be encouraged in older adults to potentially reduce the risk of frailty, while the impact of UPF intake should be further explored given the convenience these foods provide to a population whose access to unprocessed food may be limited due to socioeconomic, health, and lifestyle factors. [ABSTRACT FROM AUTHOR]

Background: In randomized clinical trials, treatment effects may vary, and this possibility is referred to as heterogeneity of treatment effect (HTE). One way to quantify HTE is to partition participants into subgroups based on individual's risk of experiencing an outcome, then measuring treatment effect by subgroup. Given the limited availability of externally validated outcome risk prediction models, internal models (created using the same dataset in which heterogeneity of treatment analyses also will be performed) are commonly developed for subgroup identification. We aim to compare different methods for generating internally developed outcome risk prediction models for subject partitioning in HTE analysis. Methods: Three approaches were selected for generating subgroups for the 2,441 participants from the United States enrolled in the ASPirin in Reducing Events in the Elderly (ASPREE) randomized controlled trial. An extant proportional hazards-based outcomes predictive risk model developed on the overall ASPREE cohort of 19,114 participants was identified and was used to partition United States' participants by risk of experiencing a composite outcome of death, dementia, or persistent physical disability. Next, two supervised non-parametric machine learning outcome classifiers, decision trees and random forests, were used to develop multivariable risk prediction models and partition participants into subgroups with varied risks of experiencing the composite outcome. Then, we assessed how the partitioning from the proportional hazard model compared to those generated by the machine learning models in an HTE analysis of the 5-year absolute risk reduction (ARR) and hazard ratio for aspirin vs. placebo in each subgroup. Cochran's Q test was used to detect if ARR varied significantly by subgroup. Results: The proportional hazard model was used to generate 5 subgroups using the quintiles of the estimated risk scores; the decision tree model was used to generate 6 subgroups (6 automatically determined tree leaves); and the random forest model was used to generate 5 subgroups using the quintiles of the prediction probability as risk scores. Using the semi-parametric proportional hazards model, the ARR at 5 years was 15.1% (95% CI 4.0–26.3%) for participants with the highest 20% of predicted risk. Using the random forest model, the ARR at 5 years was 13.7% (95% CI 3.1–24.4%) for participants with the highest 20% of predicted risk. The highest outcome risk group in the decision tree model also exhibited a risk reduction, but the confidence interval was wider (5-year ARR = 17.0%, 95% CI= -5.4–39.4%). Cochran's Q test indicated ARR varied significantly only by subgroups created using the proportional hazards model. The hazard ratio for aspirin vs. placebo therapy did not significantly vary by subgroup in any of the models. The highest risk groups for the proportional hazards model and random forest model contained 230 participants each, while the highest risk group in the decision tree model contained 41 participants. Conclusions: The choice of technique for internally developed models for outcome risk subgroups influences HTE analyses. The rationale for the use of a particular subgroup determination model in HTE analyses needs to be explicitly defined based on desired levels of explainability (with features importance), uncertainty of prediction, chances of overfitting, and assumptions regarding the underlying data structure. Replication of these analyses using data from other mid-size clinical trials may help to establish guidance for selecting an outcomes risk prediction modelling technique for HTE analyses. [ABSTRACT FROM AUTHOR]

Background Blood concentrations of testosterone and estrone tend to increase in women aged ≥70 years, whereas concentrations of their precursor hormone dehydroepiandrosterone decline. It is unknown whether these changes influence physical function. We investigated whether concentrations of these hormones were associated with grip strength and self-reported physical function in community-dwelling older women. Methods A total of 9 179 Australian women, aged ≥70 years, were recruited to the ASPirin in Reducing Events in the Elderly (ASPREE) trial. Sex hormones were measured in Sex Hormones in Older Women, an ASPREE substudy, by liquid chromatography–tandem mass spectrometry in 6 358 women. The associations between hormone concentrations and physical function (handgrip strength and self-reported physical function assessed by SF-12v2 physical component summary [PCS]) were examined using multiple linear regression. Results The median age of the 5,447 participants was 74.0 (interquartile range 71.7–77.6) years. Testosterone concentrations above the lowest quartile were associated with less decline in grip strength (mean –1.39 [95% CI –1.54 to –1.24] vs –1.75 [–2.00 to –1.50] kg, p  = .02), and dehydroepiandrosterone concentrations above the lowest quartile were associated with less decline in grip strength (–1.39 [–1.54 to –1.25] vs –1.82 [–2.11 to –1.55] kg, p  = .007) and PCS scores (–1.49 [–1.80 to –1.17] vs –2.33 [–2.93 to –1.72], p  = .02) over 4 years, compared with those in the respective lowest quartile. Conclusions Low endogenous concentrations of testosterone and dehydroepiandrosterone were associated the greatest likelihood of physical function decline in community-based women aged ≥70 years. Further studies are warranted to determine whether testosterone and dehydroepiandrosterone therapy prevent functional decline in this at-risk group using sensitive measures of muscle strength and performance. [ABSTRACT FROM AUTHOR]

Background The prognostic implication of cholesterol levels in older adults remains uncertain. This study aimed to examine the relationship between low-density-lipoprotein cholesterol (LDL-c) and mortality outcomes in older individuals. Methods This post hoc analysis examined the associations of LDL-c levels with mortality risks from all-cause, cardiovascular disease (CVD), cancer, and combined non-CVD/noncancer conditions in a cohort of individuals aged ≥65 years from the ASPirin in Reducing Events in the Elderly trial (NCT01038583). At baseline, participants had no diagnosed dementia, physical disability, or CVD, and were not taking lipid-lowering agents. Outcome analyses were performed using multivariable Cox models. Results We analyzed 12 334 participants (mean age: 75.2 years). Over a median 7-year follow-up, 1 250 died. Restricted cubic splines found a U-shaped relation for LDL-c and all-cause mortality, cancer mortality, and noncancer/non-CVE mortality (nadir: 3.3–3.4 mmol/L); the risk of CVD mortality was similar at LDL-c below 3.3 mmol/L and increased above 3.3 mmol/L. Similar trends were observed in analyses modeling LDL-c by quartiles. When modeling LDL-c as a continuous variable, the risk of all-cause mortality, cancer mortality, and noncancer/non-CVD mortality was decreased by 9%, 16%, and 18%, respectively, per 1-mmol/L higher LDL-c, and the risk of CVD mortality was increased by 19% per 1-mmol/L higher LDL-c. Reduced all-cause and non-CVD/noncancer mortality risks were only significant in males but not females (p interaction < .05). Conclusions There were U-shaped relationships between LDL-c and all-cause mortality, cancer mortality, and noncancer/non-CVD mortality in healthy older adults. Higher LDL-c levels were associated with an increased risk of CVD mortality. Future studies are warranted to confirm our results. [ABSTRACT FROM AUTHOR]

Background & Aims: The burden of metabolic dysfunction‐associated steatotic liver disease (MASLD) is growing rapidly, as is the number of older adults globally. However, relatively few studies have been performed evaluating the prevalence and risk factors for MASLD in older adults. As such, we aimed to identify the prevalence of MASLD in older adults, as well as sociodemographic, clinical, functional and biochemical associations. Methods: The study population included older adults without a history of cardiovascular disease, dementia or independence‐limiting functional impairment who had participated in the ASPirin in Reducing Events in the Elderly (ASPREE) randomised trial. MASLD was defined using the Fatty Liver Index (FLI). Associations were identified using Poisson regression with robust variance for FLI ≥ 60 vs FLI < 30. Results: 9097 Australian participants aged ≥70 years had complete biochemical and anthropometric data to identify MASLD. The study population had a mean age of 75.1 ± 4.3 years and was 45.0% male. Almost one‐third (33.0%) had prevalent MASLD, and the prevalence decreased with increasing age (adjusted RR [aRR] 0.96, 95% CI: 0.96–0.97). MASLD was also negatively associated with social advantage (aRR 0.94, 95% CI: 0.90–0.99) and exercise tolerance and was positively associated with diabetes mellitus (aRR: 1.22, 95% CI: 1.16–1.29), hypertension (aRR: 1.31, 95% CI: 1.22–1.41), male sex (aRR: 1.66, 95% CI: 1.57–1.74), pre‐frailty (aRR: 1.99, 95% CI: 1.82–2.12) and frailty (aRR: 2.36, 95% CI: 2.16–2.56). MASLD and nonalcoholic fatty liver disease (NAFLD) results were 100% concordant. Conclusion: This study in a large cohort of relatively healthy community‐dwelling older adults shows that MASLD is common, decreases with age and is associated with poorer metabolic health, social disadvantage and frailty. [ABSTRACT FROM AUTHOR]

As thyroid disorders are common amongst the elderly, this study aims to evaluate the reference interval (RI) for thyroid stimulating hormone (TSH) in healthy adults aged 70 years and over.A proposed RI was determined from the Australian participants of the ASPirin in Reducing Events in the Elderly (ASPREE) randomised trial. Participants had no history of cardiovascular disease, thyroid cancer, dementia, or life-threatening illnesses. Participants prescribed with any thyroid-related medication at baseline were excluded. TSH levels were measured using a commercial chemiluminescence microparticle immunoassay. The RI was determined using the middle 95th percentile of the logarithmic transformed data of baseline TSH. Cox proportional hazard regression models were used to validate the RI by assessing disease incidence over time.A total of 10,995 participants had baseline TSH measures. Median (IQR) age was 73.9 (71.8–77.3) years. We propose a RI of 0.34–3.75 mU/L. TSH levels did not differ by age or sex. At baseline, there was no association between symptoms associated with thyroid disease and levels of TSH. Over the follow-up period of up to 11 years, no association was seen between baseline TSH levels and relevant disease outcomes for participants within the RI.From a group of initially healthy, community-dwelling adults aged >=70 years, we propose a RI of TSH to best represent euthyroidism. This concentration was not associated with an increased risk of thyroid related symptoms or outcomes, confirming its appropriateness for clinical use. [ABSTRACT FROM AUTHOR]

Objective: This study investigated the association between gait speed, handgrip strength, and their combination, and the risk for developing clinically relevant depressive symptoms in community-dwelling older adults., Methods: A secondary analysis was conducted using data from the ASPirin in Reducing Events in the Elderly study. Participants were community-dwelling older adults in Australia and the United States of America followed for a median (interquartile range) of 3.97 (2.26) years. Baseline handgrip strength and gait speed were used as exposure variables, and their combination categories were also explored. Depression was measured using the modified Center for Epidemiological Studies Depression 10-item scale (CES-D 10). Cox regression was used to estimate Adjusted Hazard Ratios (AHR) with 95 % Confidence Intervals (CI) after adjusting for a range of potential confounders., Result: A total of 17,231 participants (55.3 % women) were included in the analysis. Slow gait and weak grip at baseline were associated with the risk of depression (AHR: 1.20; CI: 1.11-1.29 and 1.14; 1.06-1.23, respectively). The combination of the two physical performance measures was associated with a 31 % increase in the risk of depression (1.31; 1.16-1.47) and a significant dose-response association was observed for quintiles of gait and grip with depression., Limitations: Although the CES-D 10 is a validated scale, it is a self-reported tool rather than a clinical diagnosis of depression., Conclusion: Low physical function may be a risk factor for depression in older adults. This highlights the inextricable link between the physical and mental health of older adults, which can inform potential clinical and public health prevention strategies for depression in later life., Competing Interests: Declaration of competing interest TC has received honoraria for lectures from Roche. The authors declare no conflicts of interest., (Crown Copyright © 2024. Published by Elsevier B.V. All rights reserved.)

Purpose of Review: Lower testosterone concentrations have been associated with poorer health outcomes in ageing men, but proving causality and demonstrating potential for therapeutic benefit requires randomized clinical trials (RCTs). This review discusses recent observational findings and results of major testosterone RCTs, to explore the need for another, larger trial., Recent Findings: Evidence of Leydig cell impairment emerges in men above the age of 70 years. Lower testosterone is associated with diabetes risk, and also risk of incident dementia. An individual participant data meta-analysis found that below thresholds of testosterone of 7.4 nmol/L and 5.3 nmol/l respectively, risks of all-cause mortality and cardiovascular deaths in men increased. Testosterone for the Prevention of Type 2 Diabetes Mellitus (T4DM), a multicentre RCT, showed that testosterone treatment prevented or reverted type 2 diabetes in men at high risk. Testosterone Replacement Therapy for Assessment of Long-term Vascular Events and Efficacy Response in Hypogonadal Men (TRAVERSE), a cardiovascular safety trial, demonstrated cardiovascular and prostate safety of testosterone treatment in men with or at risk of cardiovascular disease. T4DM confirmed findings from the Testosterone Trials (T-Trials) that testosterone improved sexual function, and bone microarchitecture and density. However, in TRAVERSE, testosterone-treated men had a higher risk of clinical bone fractures, but not major osteoporotic fractures., Summary: Men with disorders of the hypothalamic-pituitary-testicular (HPT) axis causing androgen deficiency warrant consideration for testosterone therapy. In men with an intact HPT axis, testosterone treatment is a pharmacological intervention which requires justification from high quality RCT data. Currently, there is insufficient evidence to justify wider use of testosterone for prevention of cardiometabolic disease. However, there is scope for another large testosterone RCT to investigate whether testosterone treatment might, in older men, extend disability-free survival., (Copyright © 2024 Wolters Kluwer Health, Inc. All rights reserved.)

Background: Alanine aminotransferase (ALT) and aspartate aminotransferase (AST) are commonly ordered tests in general medical practice. However, their distribution and significance in older adults is understudied. As such, we aimed to evaluate sex-stratified distribution of both ALT and AST in older adults (≥ 70 years) and assess for associations with mortality., Methods: Post-hoc analysis of the ASPirin in Reducing Events in the Elderly (ASPREE) randomised, placebo-controlled trial of daily low-dose aspirin for initially relatively healthy older persons. Univariate analysis and multiple logistic regression were used to explore baseline characteristics. Cox regression and restricted cubic splines were used to examine links between transaminase levels and mortality., Results: Of the 11853 participants with ALT and AST levels, 1054 (8.9%) deaths were recorded over median 6.4 (IQR 5.4-7.6) years. For ALT, the lowest quintiles for males and females were 6-15 U/L and 5-13 U/L respectively; for AST, the lowest quintiles were 8-18 U/L and 7-17 U/L. On both univariate and models adjusted for covariates including age, BMI, frailty, diabetes, and kidney disease, males and females in the lowest quintile of ALT had an increased hazard of mortality (aHR 1.51 [95% CI 1.14-1.99] and aHR 1.39 [95% CI 1.03-1.88] respectively). For the lowest quintile of AST, only males were at increased risk (aHR 1.33 [95% CI 1.04-1.70]). Associations remained significant when removing outliers., Conclusion: Low ALT levels independently confer an increased hazard of mortality for older males and females; low AST only impacted older male survival. Further evaluation of mechanisms would be worthwhile, and re-evaluating the lower limit of normal for ALT in older adults should be considered., (© The Author(s) 2024. Published by Oxford University Press on behalf of The Gerontological Society of America.)