Gerontology最新文献

Introduction: The data are limited for the association between osteoarthritis (OA) and cardiovascular disease (CVD) in community-based older populations and whether there is sex difference. This study aimed to examine the relationship between OA and prevalence and incidence of CVD over 10 years in community-dwelling older adults.

Methods: Data on self-reported OA, high cholesterol, hypertension, and type 2 diabetes were collected from 1,025 community-dwelling participants aged 70-90 years in the Sydney Memory and Ageing Study. The presence of CVD at baseline was defined as self-reported presence of stroke, heart attack, transient ischaemic attack, angina, aortic aneurysm, or claudication. The incidence of CVD was defined by a combination of incident self-reported CVD or CVD mortality at different follow-up timepoints over 10 years.

Results: At baseline, 395 (38.5%) participants self-reported OA (252 [44.6%] women, 143 [31.1%] men). Self-reported OA was associated with increased prevalence of CVD in women (OR 1.67, 95% CI 1.12-2.47) but not men (1.26, 0.80-1.98). In the total population, self-reported OA at baseline was associated with increased incidence of CVD at 4 years (OR 1.77, 95% CI 1.10-2.83), 6 years (1.59, 1.03-2.46), 8 years (1.56, 1.02-2.38), and 10 years (1.66, 1.10-2.50), but not at 2 years (1.43, 0.79-2.57). Significant associations were observed in female participants at 4, 8, and 10 years, with no significant associations seen in male participants.

Conclusion: OA was associated with increased prevalence at baseline and incidence of CVD over 10 years in community-based older adults, especially women. Identifying those with OA to target their cardiovascular risk factors while managing their OA has the potential to reduce the burden of CVD in older people, particularly women.

Introduction: The aim of this study was to examine the incidence and progression of foot osteoarthritis (OA), as well as associated factors, in a community-based cohort.

Methods: Baseline (2013-2015) and follow-up (2016-2018) foot radiographs were available for 541 participants (71% women, mean age 69 years; 35% black, 53% with obesity). The LaTrobe Foot Atlas was used to examine osteophytes (OPs, score 0-3) and joint space narrowing (JSN, score 0-3) at 5 joint sites. Incident foot radiographic OA (rOA) was a baseline score <2 OP and JSN in all 5 joints with ≥2 OP or JSN at follow-up in any of the joints. Progression was a worsening OP or JSN score in a joint with baseline foot rOA. At baseline and follow-up, participants reported the presence/absence of foot symptoms and completed the Foot and Ankle Outcome Score (FAOS) for each foot. Joint-based logistic regression models with generalized estimating equations were used to examine associations (adjusted odds ratio [aOR], 95% confidence interval [CI]) of foot rOA incidence and progression and with covariates.

Results: Among 928 feet without baseline rOA, 4% developed incident foot rOA (2% of those developed symptoms). Among 154 feet with baseline foot rOA, 55% had radiographic progression (16% of those had symptoms). Women and those with higher body mass index (BMI) were more likely to have incident foot rOA (aOR [95% CI] = 4.10 [1.22, 13.8] and 1.60 [1.31, 1.97], respectively); history of gout was associated with incidence or progression of foot rOA (2.75 [1.24, 6.07]). BMI was associated with worse scores on all FAOS subscales (aORs range 1.21-1.40).

Conclusion: Progression of foot rOA is common but not necessarily related to worsening symptoms. BMI may be a modifiable risk factor for foot OA.

Introduction: Current cognitive assessments suffer from floor/ceiling and practice effects, poor psychometric performance in mild cases, and repeated assessment effects. This study explores the use of digital speech analysis as an alternative tool for determining cognitive impairment. The study specifically focuses on identifying the digital speech biomarkers associated with cognitive impairment and its severity.

Methods: We recruited older adults with varying cognitive health. Their speech data, recorded via a wearable microphone during the reading aloud of a standard passage, were processed to derive digital biomarkers such as timing, pitch, and loudness. Cohen's d effect size highlighted group differences, and correlations were drawn to the Montreal Cognitive Assessment (MoCA). A stepwise approach using a Random Forest model was implemented to distinguish cognitive states using speech data and predict MoCA scores based on highly correlated features.

Results: The study comprised 59 participants, with 36 demonstrating cognitive impairment and 23 serving as cognitively intact controls. Among all assessed parameters, similarity, as determined by Dynamic Time Warping (DTW), exhibited the most substantial positive correlation (rho = 0.529, p < 0.001), while timing parameters, specifically the ratio of extra words, revealed the strongest negative correlation (rho = -0.441, p < 0.001) with MoCA scores. Optimal discriminative performance was achieved with a combination of four speech parameters: total pause time, speech-to-pause ratio, similarity via DTW, and intelligibility via DTW. Precision and balanced accuracy scores were found to be 88.1 ± 1.2% and 76.3 ± 1.3%, respectively.

Discussion: Our research proposes that reading-derived speech data facilitates the differentiation between cognitively impaired individuals and cognitively intact, age-matched older adults. Specifically, parameters based on timing and similarity within speech data provide an effective gauge of cognitive impairment severity. These results suggest speech analysis as a viable digital biomarker for early detection and monitoring of cognitive impairment, offering novel approaches in dementia care.

Introduction: Recent research on the gut deepens people's understanding of the role of gut microbe-metabolites in longevity. However, most of the longevity population is female, and the gut microbe-metabolites associated with longevity in women remain unknown. Here, we hypothesize that the gut microbe-metabolite levels differed between the longevity women (LW, age ≥90) and the elderly women (EW, 60 < age <90).

Methods: We performed a cross-sectional study of 22 women in Guangxi longevity areas. 16S rRNA full-length sequencing, bioinformatic analysis, and nuclear magnetic resonance hydrogen spectra were determined to analyze the gut microbiota, microbial pathways, and fecal metabolites. We evaluated significant differences and relationships in gut microbe-metabolites and microbial pathways using the Mann-Whitney test and Spearman correlation, respectively.

Results: The EW experienced gut dysbiosis characterized by a higher Firmicutes/Bacteroidetes (F/B) value. The LW showed a higher abundance of Bacteroides and Alistipes, which might support health maintenance. Moreover, LW enriched alanine, aspartate, and glutamate metabolism, histidine metabolism, and pyruvate metabolism, leading to major changes in histidine, fumaric acid, acetate, valine, and aspartate. Interestingly, the most valuable metabolic pathway based on differential fecal metabolites confirmed the KEGG microbial pathway "alanine, aspartate, and glutamate metabolism" enriched in LW. Impressively, Bacteroides and Alistipes were positively correlated with alanine, aspartate, and glutamate metabolism, thus improving the level of aspartate, which could be a particular pathway related to longevity.

Conclusion: The enriched gut genus and microbial pathways in LW showed a significant correlation, which might mediate the production of metabolites related to longevity.

Introduction: The objective of this study was to examine the potential induction of senescence in vascular endothelial cells (VECs) by chronic intermittent hypoxia (CIH), a defining characteristic of obstructive sleep apnea (OSA). This investigation seeks to elucidate the underlying mechanisms that contribute to the development of cardiovascular diseases in patients with OSA, with a particular focus on CIH-induced vascular aging.

Methods: The BioSpherix-OxyCycler system was used to establish models of CIH in both rats and human umbilical vein endothelial cells (HUVECs). To assess VECs' senescence, various methods were employed including EdU incorporation assay, cell cycle analysis, senescence-associated β-galactosidase (SA-β-gal) staining, and senescence protein testing. Vascular aging was evaluated through measurements of carotid-femoral pulse wave velocity, intima-media thickness, and Ki67 immunohistochemical staining. In order to identify the molecular mechanisms associated with CIH-induced senescence in VECs, a bioinformatics study was conducted utilizing the Gene Expression Omnibus database.

Results: Under conditions of CIH, HUVECs exhibited inhibited proliferation, arrested cell cycle, increased activity of SA-β-gal, and elevated expression levels of p53 and p21 compared to HUVECs under normoxic conditions. Similarly, rats exposed to CIH displayed increased carotid-femoral pulse wave velocity, intima-media thickness, vascular permeability, and SA-β-gal activity in VECs, along with decreased expression of arterial Ki67. BTG3-associated protein (BANP) was found to be highly expressed in CIH-induced VECs. Furthermore, the overexpression of BANP resulted in the senescence of VECs, along with elevated levels of p53 phosphorylation and nuclear localization.

Conclusions: These findings demonstrate that CIH can induce VECs senescence and contribute to vascular aging. Additionally, BANP can induce VECs senescence by promoting p53 phosphorylation and nuclear retention. These discoveries offer novel insights into the increased cardiovascular risk associated with OSA, thereby presenting new possibilities for therapeutic intervention.

Introduction: Frailty is a crucial health issue among older adults. Growth differentiation factor 15 (GDF15) is associated with inflammation, oxidative stress, insulin resistance, and mitochondrial dysfunction, which are possible pathogeneses of frailty. However, few longitudinal studies have investigated the association between GDF15 and the incidence of frailty. Therefore, we investigated whether high serum GDF15 levels are associated with the incidence of frailty.

Methods: A total of 175 older adults (mean age: 77 ± 6 years; 63% women) with cardiometabolic diseases and no frailty out of the two criteria at baseline participated. Individuals with severe renal impairment or severe cognitive impairment were excluded. Serum GDF15 levels were measured at baseline. Patients were asked to assess frailty status at baseline and annually during follow-up using the modified version of the Cardiovascular Health Study (mCHS) and the Kihon Checklist (KCL). We examined the association between GDF15 tertiles and each frailty measure during follow-up (median 38-39 months). In the multivariate Cox regression analysis, with the GDF15 tertile groups as the explanatory variables, hazard ratios (HRs) and 95% confidence intervals (CIs) for incident frailty were calculated after adjusting for covariates and using the lowest tertile group as the reference.

Results: During the follow-up period, 25.6% and 34.0% of patients developed frailty, as defined by the mCHS and KCL, respectively. The highest GDF15 tertile group had a significantly higher incidence of mCHS- or KCL-defined frailty than the lowest GDF15 tertile group. Multivariate Cox regression analysis revealed that the adjusted HRs for incident mCHS- and KCL-defined frailty in the highest GDF15 tertile group were 3.9 (95% CI: 1.3-12.0) and 2.7 (95% CI: 1.1-6.9), respectively.

Conclusion: High serum GDF15 levels predicted the incidence of frailty among older adults with cardiometabolic diseases and could be an effective marker of the risk for frailty in interventions aimed at preventing frailty, such as exercise and nutrition.

Introduction: Hip fracture in older adults results in significant mortality and is one of the costliest fall-related injuries. The Australian Commission for Quality and Safety in Health Care hip fracture clinical care standards consolidate the best available evidence for managing this patient group; however, uptake is variable. The aim of this study was to evaluate the implementation and effectiveness of a multidisciplinary early activation mechanism and bundle of care (eHIP) on patient and health service outcomes.

Methods: This controlled pre- and post-test study was conducted from June 2019-June 2021 at a large regional hospital in Australia. We hypothesised that eHIP would result in at least 50% of hip fracture patients receiving six or more components of the ACSQHC Hip Fracture Clinical Care Standard. Secondary outcomes include hospital-acquired complication rates and acute treatment costs.

Results: There were 565 cases included for analysis. After implementation of eHIP (the post-period), 88% of patients received a correct activation of the eHIP pathway, sustained over 12 months. The proportion of patients receiving the primary outcome of six or more components increased from 36% to 49%. Care at presentation (pain and cognitive assessment) increased by 23%, and unrestricted mobilisation within 24 h improved by 10%. Prescription of appropriate analgesia improved 10-fold (5.2-57%), and patients receiving the gold standard fascia iliaca block increased from 68% to 88%. Acute treatment costs did not significantly change.

Discussion/conclusion: eHIP, a hip fracture care program incorporating evidence-based behaviour change theory, resulted in sustained improvements to patient care as recommended by the ACSQHC Hip Fracture Clinical Care Standard.

Introduction: Pneumonia is a common and devastating complication following hip fracture surgery in older patients. Time to surgery is a potentially modifiable factor associated with improved prognosis, and we aim to quantify the time-effect relationship between time to surgery and in-hospital postoperative pneumonia (IHPOP) and identify the effect of delayed surgery on the risk of IHPOP.

Methods: We analyzed clinical data of older hip fracture patients (≥60 years) undergoing surgical treatments at a tertiary referral trauma center between 2015 and 2020. Restricted cubic spline (RCS) was used to fit the time-effect relationship between time to surgery and IHPOP. Based on the results of RCS, we divided patients into two groups of "early surgery" and "delayed surgery." A 1:1 propensity score matching (PSM) analysis and multivariate conditional logistic regression analysis were performed to minimize the selection bias and determine the association magnitude. Subgroup analysis was conducted to assess potential interaction effects between delayed surgery and common risk factors for IHPOP.

Results: 3,118 eligible patients were included. The RCS curve showed an inverse S-shape trend and the relative risk of IHPOP decreased in the range of days 2-3 and increased on day 1 and day 3 or more post-injury, with the lowest point on day 3. PSM yielded 1,870 matched patients and delayed surgery (>3 days) was identified to be independently associated with IHPOP (relative ratio, 1.66; 95% confidence interval, 1.12-2.46; p value, 0.011). We observed positive interaction effects between delayed surgery and age of 80 years or more, female gender, COPD, heart disease, ASA score ≥3, anemia, and hypoproteinemia.

Conclusion: The relative risk of IHPOP decreased in the range of 2-3 days and increased on day 1 and day 3 or more post-injury. Delayed surgery (>3 days) was identified to be independently associated with a 1.66-fold increased risk of IHPOP.

Introduction: Frailty is conventionally diagnosed using clinical tests and self-reported assessments. However, digital health technologies (DHTs), such as wearable accelerometers, can capture physical activity and gait during daily life, enabling more objective assessments. In this study, we assess the feasibility of deploying DHTs in community-dwelling older individuals, and investigate the relationship between digital measurements of physical activity and gait in naturalistic environments and participants' frailty status, as measured by conventional assessments.

Methods: Fried Frailty Score (FFS) was used to classify fifty healthy individuals as non-frail (FFS = 0, n/female = 21/11, mean ± SD age: 71.10 ± 3.59 years), pre-frail (FFS = 1-2, n/female = 23/9, age: 73.74 ± 5.52 years), or frail (FFS = 3+, n/female = 6/6, age: 70.70 ± 6.53 years). Participants wore wrist-worn and lumbar-worn GENEActiv accelerometers (Activinsights Ltd., Kimbolton, UK) during three in-laboratory visits, and at-home for 2 weeks, to measure physical activity and gait. After this period, they completed a comfort and usability questionnaire. Compliant days at-home were defined as follows: those with ≥18 h of wear time, for the wrist-worn accelerometer, and those with ≥1 detected walking bout, for the lumbar-worn accelerometer. For each at-home measurement, a group analysis was performed using a linear regression model followed by ANOVA, to investigate the effect of frailty on physical activity and gait. Correlation between at-home digital measurements and conventional in-laboratory assessments was also investigated.

Results: Participants were highly compliant in wearing the accelerometers, as 94% indicated willingness to wear the wrist device, and 66% the lumbar device, for at least 1 week. Time spent in sedentary activity and time spent in moderate activity as measured from the wrist device, as well as average gait speed and its 95th percentile from the lumbar device were significantly different between frailty groups. Moderate correlations between digital measurements and self-reported physical activity were found.

Conclusions: This work highlights the feasibility of deploying DHTs in studies involving older individuals. The potential of digital measurements in distinguishing frailty phenotypes, while unobtrusively collecting unbiased data, thus minimizing participants' travels to sites, will be further assessed in a follow-up study.

Introduction: Few studies have investigated the association between frailty and subsequent body composition.

Methods: We performed separate linear mixed model analyses to study the associations between changes in the participant frailty status assessed by a frailty index (FI) and subsequent body mass index (BMI), lean mass index (LMI), fat mass index (FMI), and FMI to LMI ratio values assessed on three occasions over 17 years. The analyses were carried out among 996 participants spanning from age 57 to 84 years.

Results: With advancing age, LMI and BMI decreased, whereas FMI and FMI to LMI ratio increased. Participants with "stable frailty," followed by those with "increasing frailty" experienced faster decreases in LMI and faster increases in FMI and FMI to LMI ratio values from midlife into old age relative to those in the group "stable not frail." Contrastingly, those in the highest third of absolute annual increase in FMI and FMI to LMI ratio became more frail faster from midlife into old age relative to those in the lowest third.

Conclusions: We found evidence of an adverse health outcome of frailty where lean indices declined faster and fat indices and fat-to-lean ratios increased faster from midlife into old age. The changes resembled those that occurred with aging, but at a faster pace. The relationship between body composition and frailty is likely bidirectional, where high or increasing levels of fat are associated with the risk of becoming more frail earlier, but where a longer duration of frailty may increase the risk of faster age-related changes to body composition.