Altered cerebellar and caudate gray-matter volumes and structural covariance networks preceding dual cognitive and mobility impairments in older people.

INTRODUCTION: The neuroanatomical changes driving both cognitive and mobility impairments, an emerging preclinical dementia syndrome, are not fully understood. We examined gray-matter volumes (GMVs) and structural covariance networks (SCNs) abnormalities in community-based older people preceding the conversion to physio-cognitive decline syndrome (PCDS). METHODS: Voxel-wise brain GMV and established SCNs were compared between PCDS and non-PCDS converters. RESULTS: The study included 343 individuals (60.2 ± 6.9 years, 49.6% men) with intact cognitive and mobility functions. Over an average 5.6-year follow-up, 116 transitioned to PCDS. Identified regions with abnormal GMVs in PCDS converters were over cerebellum and caudate, which served as seeds for SCNs establishment. Significant differences in cerebellum-based (to right frontal pole and left middle frontal gyrus) and caudate-based SCNs (to right caudate putamen, right planum temporale, left precentral gyrus, right postcentral gyrus, and left parietal operculum) between converters and nonconverters were observed. DISCUSSION: This study reveals early neuroanatomic changes, emphasizing the cerebellum's role, in dual cognitive and mobility impairments. HIGHLIGHTS: Neuroanatomic precursors of dual cognitive and mobility impairments are identified. Cerebellar GMV reductions and increased right caudate GMV precede the onset of PCDS. Altered cerebellum- and caudate-based SCNs drive PCDS transformation. This research establishes a foundation for understanding PCDS as a specific dementia syndrome.

Using Hypothesis-Led Machine Learning and Hierarchical Cluster Analysis to Identify Disease Pathways Prior to Dementia: Longitudinal Cohort Study.

BACKGROUND: Dementia development is a complex process in which the occurrence and sequential relationships of different diseases or conditions may construct specific patterns leading to incident dementia. OBJECTIVE: This study aimed to identify patterns of disease or symptom clusters and their sequences prior to incident dementia using a novel approach incorporating machine learning methods. METHODS: Using Taiwan's National Health Insurance Research Database, data from 15,700 older people with dementia and 15,700 nondementia controls matched on age, sex, and index year (n=10,466, 67% for the training data set and n=5234, 33% for the testing data set) were retrieved for analysis. Using machine learning methods to capture specific hierarchical disease triplet clusters prior to dementia, we designed a study algorithm with four steps: (1) data preprocessing, (2) disease or symptom pathway selection, (3) model construction and optimization, and (4) data visualization. RESULTS: Among 15,700 identified older people with dementia, 10,466 and 5234 subjects were randomly assigned to the training and testing data sets, and 6215 hierarchical disease triplet clusters with positive correlations with dementia onset were identified. We subsequently generated 19,438 features to construct prediction models, and the model with the best performance was support vector machine (SVM) with the by-group LASSO (least absolute shrinkage and selection operator) regression method (total corresponding features=2513; accuracy=0.615; sensitivity=0.607; specificity=0.622; positive predictive value=0.612; negative predictive value=0.619; area under the curve=0.639). In total, this study captured 49 hierarchical disease triplet clusters related to dementia development, and the most characteristic patterns leading to incident dementia started with cardiovascular conditions (mainly hypertension), cerebrovascular disease, mobility disorders, or infections, followed by neuropsychiatric conditions. CONCLUSIONS: Dementia development in the real world is an intricate process involving various diseases or conditions, their co-occurrence, and sequential relationships. Using a machine learning approach, we identified 49 hierarchical disease triplet clusters with leading roles (cardio- or cerebrovascular disease) and supporting roles (mental conditions, locomotion difficulties, infections, and nonspecific neurological conditions) in dementia development. Further studies using data from other countries are needed to validate the prediction algorithms for dementia development, allowing the development of comprehensive strategies to prevent or care for dementia in the real world.

Cognitive Screening via Comprehensive Geriatric Assessment of Older Patients for the Risk Factors of Hospital Revisit/Readmission after Emergency Department Visit at 3-Month Follow-Up.

INTRODUCTION: Cognitive impairment (COIM) is a major challenge for healthcare systems and is associated with an increased risk of adverse outcomes in older people visiting emergency departments (EDs). Owing to global aging, both cognitive screening and comprehensive geriatric assessment (CGA) application in ED settings are developing areas of geriatric emergency medicine. Meanwhile, the association between clinical outcomes of COIM; cognitive impairment, no dementia (CIND); and dementia in the ED could be better investigated. Our study aims to identify individuals with COIM from older patients in the ED via CGA and to describe the association of CIND and dementia with prognosis in ED visits. METHODS: A prospective cross-sectional study was conducted in the ED of the Taipei Veterans General Hospital, a medical center located in Taipei, Taiwan, from August 2018 to November 2020. Patients aged ≥75 years with and without COIM were compared using data obtained from the CGAs conducted by trained nurses. RESULTS: A total of 823 older patients were enrolled in the study and underwent CGA. Of these, 463 (56.3%) were diagnosed with COIM, of which 292 (35.5%) were diagnosed with dementia; and 171 (20.8%), CIND. Between the no-COIM and COIM groups, the COIM group had a higher rate of hospital admission (p = 0.002) and mortality at 3 months (p < 0.05). Among the no-COIM, CIND, and dementia groups, ED disposition (p = 0.001) and the rate of revisit/readmission (p < 0.05) showed significant differences. In particular, the dementia group had a significantly higher rate of revisit/readmission as compared to the CIND group among the three groups. DISCUSSION/CONCLUSION: Older patients with COIM had a higher rate of hospital admission and mortality at the 3-month follow-up than older patients without COIM. Among the no-COIM, CIND, and dementia groups, patients with dementia had significantly increased risks of hospital admission and revisit/readmission. The early detection of COIM, and even dementia, could help ED physicians formulate strategies with geriatric specialists to improve mortality outcomes and revisit/readmission.

All-cause mortality, cardiovascular mortality, major cardiovascular events and hypoglycaemia of patients with diabetes onset at an older age: results from the 10-year nationwide cohort study.

BACKGROUND: Longitudinal adverse outcomes are unclear among adults with diabetes according to the age of onset. OBJECTIVE: To investigate the longitudinal diabetes-related outcomes in adults with new-onset diabetes stratified by age. DESIGN: Retrospective cohort study. SETTING: Taiwan National Health Insurance Research Database claims data from 2000 to 2015. SUBJECTS: In total, 115,751 participants aged ≥40 years with new-onset diabetes in 2003 were recruited and stratified by the ages 40-64 (64.3%), 65-74 (21.2%), 75-84 (11.8%) and ≥85 years (2.7%) at the time of diagnosis. METHODS: Time-varying multivariate Cox proportional hazards model adjusted for covariates was used to examine the associations between the ages of the patients at diabetes onset and the outcomes of interest [all-cause mortality, cardiovascular (CV) mortality, major cardiovascular events (MACE) and hypoglycaemia] during a 10-year follow-up period. RESULTS: The results showed that compared with those patients aged 40-64 at diagnosis, patients with older-onset diabetes had significantly higher comorbidities (P < 0.01) and a higher diabetes severity (P < 0.01). Patients with older-onset diabetes had a higher risk of all-cause mortality [adjusted hazard ratio (aHR) 2.28, 4.48 and 10.07 in 65-74, 75-84 and ≥85 years old, respectively], CV mortality (aHR = 2.82, 6.06 and 15.91), MACE (aHR = 2.19, 3.01 and 4.15) and hypoglycaemia (aHR = 2.41, 3.59 and 4.62) than patients aged 40-64 during a 10-year follow-up period. CONCLUSIONS: Patients with diabetes onset at an older age was associated with increased risks of all-cause mortality, CV mortality, MACE and hypoglycaemia after adjusting for the severity of diabetes and anti-diabetic treatment.

Longitudinal changes of frailty in 8 years: comparisons between physical frailty and frailty index.

BACKGROUND: Few studies have made longitudinal comparisons between frailty phenotype (FP) and frailty index (FI) changes. We aimed to investigate frailty status changes defined by FP and FI concurrently, and to compare the associated factors and incident disability among different combination of FI and FP trajectory groups. METHODS: Data on respondents aged over 50 who completed the 1999, 2003 and 2007 Taiwan Longitudinal Study on Aging (TLSA) surveys (n = 2807) were excerpted. Changes of FI, FP and major time-dependent variables were constructed by group-based trajectory modeling. Logistic regression was used to investigate the associated factors and relationships with incident disability among different frailty trajectories. RESULTS: We identified four FP trajectories - stably robust, worsened frailty, improved frailty, and stably frail and three FI trajectories - stable FI, moderate increase FI and rapid increase FI. Lower self-rated health, mobility impairment, and depressed mood were associated with unfavorable FP and FI changes (all p < 0.001). Regardless of FP trajectory groups, the moderate and rapid increase FI group had significantly more comorbidities than the stable FI group, and more visual, hearing, oral intake impairment, more difficulty in meeting living expenses, and poorer cognitive function in ≥65-year-olds (all p < 0.05). In addition, the worsened frailty, improved frailty, and stably frail groups had ORs for incident disability of 10.5, 3.0, and 13.4, respectively, compared with the stably robust group (all p < 0.01); the moderate and rapid increase FI groups had 8.4-fold and 77.5-fold higher risk than the stable FI group (both p < 0.001). When combining FI and FP trajectories, risk increased with FI trajectory steepness, independent of FP change (all p < 0.01 in rapid increase FI vs stable FI). CONCLUSIONS: Four FP trajectories (stably robust, worsened frailty, improved frailty, and stably frail) and three FI trajectories (stable FI, moderate increase FI and rapid increase FI) were identified. Lower self-rated health, mobility impairment, and depressed mood were associated with both unfavorable FP and FI trajectories. Nevertheless, even for individuals in stably robust or improved frailty FP groups, moderate or rapid increase in FI, either due to comorbidities, sensory impairment, cognitive deficits, or financial challenges, may still increase the risk of incident disability.

Malnutrition, Family Support, and Possible Sarcopenia in Patients Undergoing Transcatheter Aortic Valve Implantation.

BACKGROUND: Possible sarcopenia, aortic valve stenosis, and malnutrition are important issues that afflict older adults. OBJECTIVE: The aims of this study were to compare the differences in nutritional status and family support in older adults with possible sarcopenia and those without sarcopenia after undergoing transcatheter aortic valve implantation (TAVI) and to identify the predictors of malnutrition and demonstrate changes in heart function over time after undergoing TAVI. METHODS: A case-control design was conducted. Possible sarcopenia was identified by measuring calf circumference, grip strength, and gait speed. The Mini Nutritional Assessment-Short Form and numerical family support rating scale were used to collect data. Left ventricular ejection fraction and New York Heart Association (NYHA) functional class were assessed at 5 time points to evaluate heart function. RESULTS: Eighty-one participants were categorized into those without sarcopenia (34) and those with possible sarcopenia (47). Logistic linear regression showed albumin and possible sarcopenia to be predictors of malnutrition (odds ratio, 5.5; 95% confidence interval, 1.02-30.19). Family support was associated with nutrition status (P = .019). For patient heart function, the results of NYHA functional class and left ventricular ejection fraction improved over time after TAVI. The improvement in NYHA functional class at T2 was significantly different between the 2 groups compared with that at T0. CONCLUSIONS: The nutrition level was higher among participants without sarcopenia than those with possible sarcopenia. Approximately 90% of the participants indicated that they had high family support. Demographic factors and albumin levels could be used to evaluate risk of malnutrition. Patients without possible sarcopenia showed greater improvement in NYHA class.

First insights on value-based healthcare of elders using ICHOM older person standard set reporting.

BACKGROUND: Clinical guidelines for specific conditions fragment care provision for elders. The International Consortium for Health Outcomes Measurement (ICHOM) has developed a global standard set of outcome measures for comprehensive assessment of older persons. The goal of this study was to report value-based health metrics in Taiwan using this ICHOM toolset. METHODS: The cross-sectional study of baseline data excerpted from a prospective longitudinal cohort, which recruited people ≥65 years old with ≥3 chronic medical conditions between July and December 2018. All participants received measurements of physical performance, anthropometric characteristics, health-related behaviors, Charlson Comorbidity Index, and Montreal Cognitive Assessment. The ICHOM toolset comprises three tiers: 1 includes frailty and having chosen a preferred place of death; 2 includes polypharmacy, falls, and participation in decision-making; and 3 includes loneliness, activities of daily living, pain, depression, and walking speed. These items were converted into a 0-10 point value-based healthcare score, with high value-based health status defined as ≥8/10 points. RESULTS: Frequencies of individual ICHOM indicators were: frail 11.7%, chose preferred place of death 14.4%, polypharmacy 31.5%, fell 17.1%, participated in decision-making 81.6%, loneliness 26.8%, limited activities of daily living 22.4%, pain 10.4%, depressed mood 13.0%, and slowness 38.5%. People with high disease burden (OR 0.40, 95% CI 0.21-0.76, p = 0.005) or cognitive impairment (OR 0.49, 95%CI 0.27-0.87, p = 0.014) were less likely to have high value-based healthcare status. CONCLUSIONS: The ICHOM Standard Set Older Person health outcome measures provide an opportunity to shift from a disease-centric medical paradigm to whole person-focused goals. This study identified advanced age, chronic disease burden and cognitive impairment as important barriers to achieving high value-based healthcare status.

Comparisons Between Hypothesis- and Data-Driven Approaches for Multimorbidity Frailty Index: A Machine Learning Approach.

BACKGROUND: Using big data and the theory of cumulative deficits to develop the multimorbidity frailty index (mFI) has become a widely accepted approach in public health and health care services. However, constructing the mFI using the most critical determinants and stratifying different risk groups with dose-response relationships remain major challenges in clinical practice. OBJECTIVE: This study aimed to develop the mFI by using machine learning methods that select variables based on the optimal fitness of the model. In addition, we aimed to further establish 4 entities of risk using a machine learning approach that would achieve the best distinction between groups and demonstrate the dose-response relationship. METHODS: In this study, we used Taiwan's National Health Insurance Research Database to develop a machine learning multimorbidity frailty index (ML-mFI) using the theory of cumulative diseases/deficits of an individual older person. Compared to the conventional mFI, in which the selection of diseases/deficits is based on expert opinion, we adopted the random forest method to select the most influential diseases/deficits that predict adverse outcomes for older people. To ensure that the survival curves showed a dose-response relationship with overlap during the follow-up, we developed the distance index and coverage index, which can be used at any time point to classify the ML-mFI of all subjects into the categories of fit, mild frailty, moderate frailty, and severe frailty. Survival analysis was conducted to evaluate the ability of the ML-mFI to predict adverse outcomes, such as unplanned hospitalizations, intensive care unit (ICU) admissions, and mortality. RESULTS: The final ML-mFI model contained 38 diseases/deficits. Compared with conventional mFI, both indices had similar distribution patterns by age and sex; however, among people aged 65 to 69 years, the mean mFI and ML-mFI were 0.037 (SD 0.048) and 0.0070 (SD 0.0254), respectively. The difference may result from discrepancies in the diseases/deficits selected in the mFI and the ML-mFI. A total of 86,133 subjects aged 65 to 100 years were included in this study and were categorized into 4 groups according to the ML-mFI. Both the Kaplan-Meier survival curves and Cox models showed that the ML-mFI significantly predicted all outcomes of interest, including all-cause mortality, unplanned hospitalizations, and all-cause ICU admissions at 1, 5, and 8 years of follow-up (P<.01). In particular, a dose-response relationship was revealed between the 4 ML-mFI groups and adverse outcomes. CONCLUSIONS: The ML-mFI consists of 38 diseases/deficits that can successfully stratify risk groups associated with all-cause mortality, unplanned hospitalizations, and all-cause ICU admissions in older people, which indicates that precise, patient-centered medical care can be a reality in an aging society.

Intraoperative blood transfusion predicts postoperative delirium among older patients undergoing elective orthopedic surgery: A prospective cohort study.

OBJECTIVES: To evaluate the roles of preoperative anemia and intraoperative blood transfusion in the development of postoperative delirium among older patients undergoing elective orthopedic surgery. METHODS: This prospective cohort study recruited subjects aged 60 years old and above who were admitted for elective orthopedic surgery in a tertiary medical center during April 2011 to December 2013. Demographic data (age, gender, body mass index [BMI], and educational level), surgery-related factors (American Society of Anesthesiology [ASA] class, type of anesthesia and surgery, and intraoperative blood transfusion), results of geriatric assessment (hearing/visual impairment, cognition, depressive mood, comorbidity, malnutrition, polypharmacy, activities of daily living [ADL], and instrumental activities of daily living [IADL]), laboratory data, length of hospital stay, and the development of postoperative delirium were collected for analysis. RESULTS: Overall, 461 patients (mean age: 73.5 ± 7.5 years, 42.1% males) were enrolled for study, and 37 (8.0%) of them developed postoperative delirium. We categorized all subjects into four groups based on anemia on admission and blood transfusion during operation or not. Multivariate logistic regression showed that subjects with anemia on admission and received intraoperative blood transfusion were at higher risk of developing postoperative delirium (adjusted odds ratio 3.090; 95% confidence interval [CI], 1.070-8.926) and those without anemia on admission but received intraoperative blood transfusion were at marginal risk (adjusted odds ratio 2.906; 95% CI, 0.912-9.259) after adjustment for covariates. CONCLUSIONS: Anemic older patients receiving intraoperative blood transfusion during operation were at the greatest risk for postoperative delirium when they underwent elective orthopedic surgery. Further intervention study is needed to reduce the risk of postoperative delirium for these patients.

Associations between low circulatory low-density lipoprotein cholesterol level and brain health in non-stroke non-demented subjects.

Low-density lipoprotein cholesterol (LDL-C) and hypertension have independent and synergistic effects on atherosclerotic cardiovascular disease. However, the role of circulatory LDL-C and its possible interactions with hypertension in brain health have been poorly investigated. The study aimed to investigate the relationship between the circulatory LDL-C level and (1) brain structures, grey-matter volume (GMV) and white matter hyperintensity (WMH) and (2) cognitive functions, and whether hypertension plays a role in these relationships. Subjects who were non-stroke and non-demented were prospectively recruited from the community-based I-Lan Longitudinal Aging Study. High-resolution 3T MRI was performed with GM and WMH segmentation. GMVs, total and regional including Alzheimer's disease-susceptible area, and WMH volumes were measured. Neurological tests including verbal memory, visuospatial, and verbal executive functions were assessed. Eight-hundred-and-two participants (59.2 ±â€¯5.7 years; 44% men) were included. Multivariate linear regression analyses showed that low circulatory LDL-C levels (<98 mg/dL) were significantly associated with reduced GMVs in frontal (standardized ß = -0.130; p = 0.003) and posterior cingulate (ß = -0.113; p = 0.032) regions in hypertensive but not normotensive subjects. In addition, low circulatory LDL-C levels, combined with hypertension, had the lowest posterior cingulate GMV (ß = -0.073; p = 0.021), highest periventricular WMH (ß = 0.089; p = 0.011) and lowest verbal memory test scores (ß = -0.088; p = 0.035) compared with neither low circulatory LDL-C level nor hypertension, and either hypertension or low circulatory LDL-C level. Age, sex, total intracranial volume, vascular risk factors, level of other circulatory lipids, and the taking of anti-hypertensive and lipid-lowering medications were adjusted. In conclusion, the role of circulatory LDL-C level and its interactive effect with hypertension on brain health are firstly demonstrated. A low circulatory LDL-C level was associated with reduced regional brain GMVs in hypertensive but not normotensive subjects. In addition, there seems a combined detrimental-effect of low circulatory LDL-C levels with hypertension on posterior cingulate GMV, WMH, and verbal memory.

Looking back to move forward: a twenty-year audit of herpes zoster in Asia-Pacific.

BACKGROUND: Herpes zoster (HZ) is a prevalent viral disease that inflicts substantial morbidity and associated healthcare and socioeconomic burdens. Current treatments are not fully effective, especially among the most vulnerable patients. Although widely recommended, vaccination against HZ is not routine; barriers in Asia-Pacific include long-standing neglect of adult immunisation and sparse local data. To address knowledge gaps, raise awareness, and disseminate best practice, we reviewed recent data and guidelines on HZ from the Asia-Pacific region. METHODS: We searched PubMed, Scopus, and World Health Organization databases for articles about HZ published from 1994 to 2014 by authors from Australia, China, Hong Kong, India, Indonesia, Japan, Korea, Malaysia, New Zealand, the Philippines, Singapore, Taiwan, Thailand, and Vietnam. We selected articles about epidemiology, burden, complications, comorbidities, management, prevention, and recommendations/guidelines. Internet searches retrieved additional HZ immunisation guidelines. RESULTS: From 4007 retrieved articles, we screened-out 1501 duplicates and excluded 1264 extraneous articles, leaving 1242 unique articles. We found guidelines on adult immunisation from Australia, India, Indonesia, Malaysia, New Zealand, the Philippines, South Korea, and Thailand. HZ epidemiology in Asia-Pacific is similar to elsewhere; incidence rises with age and peaks at around 70 years - lifetime risk is approximately one-third. Average incidence of 3-10/1000 person-years is rising at around 5% per year. The principal risk factors are immunosenescence and immunosuppression. HZ almost always causes pain, and post-herpetic neuralgia is its most common complication. Half or more of hospitalised HZ patients have post-herpetic neuralgia, secondary infections, or inflammatory sequelae that are occasionally fatal. These disease burdens severely diminish patients' quality of life and incur heavy healthcare utilisation. CONCLUSIONS: Several countries have abundant data on HZ, but others, especially in South-East Asia, very few. However, Asia-Pacific countries generally lack data on HZ vaccine safety, efficacy and cost-effectiveness. Physicians treating HZ and its complications in Asia-Pacific face familiar challenges but, with a vast aged population, Asia bears a unique and growing burden of disease. Given the strong rationale for prevention, most adult immunisation guidelines include HZ vaccine, yet it remains underused. We urge all stakeholders to give higher priority to adult immunisation in general and HZ in particular.

The distinct impacts of sarcopenic and dynapenic obesity on mortality in middle-aged and older adults based on different adiposity metrics: Results from I-Lan Longitudinal Aging Study.

BACKGROUND & AIMS: Sarcopenic obesity (SO) and dynapenic obesity (DO) represent two manifestations of excessive fat accumulation concurrent with compromised muscle mass and function, thereby necessitating an examination of their implications for health. This study aims to investigate the relationship between SO/DO and mortality, taking into account various adiposity measures and existing sarcopenia criteria, with further stratified analyses based on age and gender. METHODS: The study sample comprised 1779 older adults residing in the community from the I-Lan Longitudinal Aging Study (ILAS). Body composition was assessed via dual-energy X-ray absorptiometry. The diagnosis of sarcopenia was adhered to the 2019 consensus of the Asian Working Group for Sarcopenia, while adiposity was measured by waist circumference (WC), body mass index (BMI), and fat percentage. SO/DO was defined as the coexistence of sarcopenia/dynapenia and obesity. Multivariate Cox proportional hazard regression models were adopted to examine the association between SO or DO, defined by WC, BMI, fat percentage, and mortality. RESULTS: This 11-year follow-up study of 1779 participants aged 63.9 ± 9.2 years involved 15,068 person-years and 229 deaths. WC-defined SO (HR 1.9, 95% CI 1.1-3.3, p = 0.021) and WC-defined DO (HR 1.4, 95% CI 1.1-1.9, p = 0.022) significantly increased mortality risk, whereas definitions employing alternative adiposity metrics exhibited no statistical significance. WC-defined SO was associated with increased risk of mortality among middle-aged adults, while WC-defined DO was associated with increased risk of mortality among older adults. In sex-specific analysis, WC-defined DO was also associated with increased risk of mortality in men (HR 1.6, 95% CI 1.1-2.4, p = 0.019), while defined by other measurements showed no associations in both sexes. CONCLUSIONS: The study identified a significant link between SO/DO, defined by WC, and an 11-year mortality risk, advocating for WC-defined adiposity as an obesity measure and personalized interventions considering SO and DO's distinct impacts on mortality in middle-aged and older adults.

Safeguarding vitality and cognition: The role of sarcopenia in intrinsic capacity decline among octogenarians from multiple cohorts.

BACKGROUND: Sarcopenia and intrinsic capacity (IC) declines pose significant challenges to healthy aging, particularly in the rapidly growing octogenarian population. This study aimed to elucidate the relationship between sarcopenia and declines in IC across multiple cohorts of community-dwelling older adults. METHODS: Data from four Taiwanese cohorts were analyzed. Sarcopenia was diagnosed based on the Asian Working Group for Sarcopenia (AWGS) 2019 criteria (algorithm 1: categorized as either having possible sarcopenia or not (robust); algorithm 2: categorized as robust, possible sarcopenia or sarcopenia). IC was operationalized using the World Health Organization's Integrated Care for Older People (ICOPE) framework (step 1 and step 2), encompassing six domains: locomotion, vitality, vision, hearing, cognition, and psychological well-being. Multivariable logistic regression models were adopted to assess the association between sarcopenia and IC decline. RESULTS: Among 599 octogenarians (median age 82.2 years, 54.8% male), the prevalence of possible sarcopenia (algorithm 1) was 64.6%. When adopting algorithm 2, the prevalence of possible sarcopenia and sarcopenia was 46,2% and 32.1%, respectively. After adjusting for covariates, participants with possible sarcopenia or sarcopenia (algorithm 2) were more likely to exhibit declines in vitality (ICOPE Step 1: possible sarcopenia aOR 3.65, sarcopenia aOR 4.74; ICOPE Step 2: possible sarcopenia aOR 5.11, sarcopenia aOR 14.77) and cognition (ICOPE Step 1: possible sarcopenia aOR 2.40, sarcopenia aOR 2.12; ICOPE Step 2: possible sarcopenia aOR 2.02, sarcopenia aOR 2.51) compared to robust individuals. CONCLUSIONS: This study underscores the robust association between sarcopenia and declines in vitality and cognition among octogenarians, highlighting the importance of sarcopenia screening and management in promoting healthy longevity in this vulnerable population.

The Impact of Social Vulnerability on Alcohol Consumption and Mortality: A 20-year Age, Sex-stratified Analysis from the Taiwan Longitudinal Study of Aging.

OBJECTIVE: This study aimed to use the Social Vulnerability Index (SVI) to encapsulate the complex and multidimensional nature of social determinants and their influence on alcohol intake and mortality in middle-aged and older individuals. DESIGN: Cohort study. SETTING AND PARTICIPANTS: Data were obtained from the Taiwan Longitudinal Study on Aging (TLSA), with 3945 study participants aged 50 years and older. METHODS: The TLSA questionnaire defined SVI (51 items including living conditions, social support, socially oriented activities of daily living, social engagement and leisure, empowerment of life, satisfaction about life, and socioeconomic status) and alcohol intake (behavior as well as type and frequency of alcohol intake). Multivariate Cox proportional hazard models were used to estimate the association between alcohol intake and mortality, stratified by sex and SVI groups. RESULTS: Men with high social vulnerability and high alcohol intake exhibit an elevated mortality risk [adjusted hazard ratio (aHR), 1.51; 95% CI, 1.01-2.24], whereas notably, women in similar social circumstances but with moderate alcohol intake face a quintupled mortality risk (>35 g/wk; aHR, 5.67; 95% CI, 2.37-13.61). The impact of alcohol and social vulnerability on mortality was more pronounced in men younger than 65. Among them, those with high social vulnerability and moderate (35-140 g/wk; aHR, 2.83; 95% CI, 1.50-5.36) to high (>140 g/wk; aHR, 2.24; 95% CI, 1.15-4.35) alcohol intake was associated with an increased risk of mortality. CONCLUSIONS AND IMPLICATIONS: Various factors throughout the life course of both men and women significantly impact the risk of all-cause mortality due to alcohol intake, underscoring the importance of social vulnerability as a determinant of both alcohol intake behavior and mortality risk.

Intrinsic capacity and multimorbidity predicting incident disability-Insights from the I-Lan Longitudinal Aging Study.

OBJECTIVES: This longitudinal cohort study aimed to examine the effect of intrinsic capacity (IC) and multimorbidity on the development of new disabilities. METHODS: The study utilized data from 1,009 participants without disabilities from the I-Lan Longitudinal Aging Study. Multivariable logistic regressions were employed to assess the predictive capability of IC (ranging from 0 to 100) and multimorbidity for incident disability over a 7-year follow-up period. RESULTS: Both low IC (OR 4.9, 95 % CI 2.1-11.1, p < 0.001) and multimorbidity (OR 4.5, 95 % CI 2.2-9.2, p < 0.001) significantly predicted incident disability over the 7-year period. A one-point increase in IC reduced the risk of incident disability by 10 % (OR 0.9, 95 % CI 0.8-0.9, p < 0.001). Among IC subdomains, both better locomotion (OR 0.96, 95 % CI 0.94-0.99, p = 0.014) and psychology (OR 0.97, 95 %CI 0.94-1.00, p = 0.049) significantly reduced the risk of incident disability. Rapid declines in IC significantly predicted incident disability (OR 4.1, 95 % CI 1.8-9.3, p = 0.001), whereas the onset of new multimorbidity or changes in the number of chronic conditions did not demonstrate a significant association with incident disability. The interaction terms between IC and multimorbidity, both categorically (low IC * multimorbidity, p = 0.959) and numerically (IC (per point) * multimorbidity, p = 0.660) were all statistically insignificant. CONCLUSIONS: IC exhibited better predictive capacity for 7-year incident disability compared to multimorbidity, so health care services targeting older adults should adopt an integrated care approach that combines both function- and disease-centric strategies.

Protein-enriched soup and weekly exercise improve muscle health: A randomized trial in mid-to-old age with inadequate protein intake.

BACKGROUND: Prior research has highlighted the synergistic impact of protein supplementation on muscle function post-exercise in adults; however, evidence supporting the combined effects were less robust and inconsistent on those with protein insufficiency. This investigation aims to explore efficacy of protein-enriched soup coupled with exercise on muscle health and metabolism in middle-aged and older adults with suboptimal protein intake. METHODS: An open-label, 12-week, randomized controlled trial involving participants with insufficient protein intake (<1.0 g/kg/day) was done. The intervention group consumed protein-enriched soup (24-30 g protein daily) and 1-h weekly exercise, while controls received health education. Assessments included laboratory tests, functional assessments, and body composition. RESULTS: In this trial, 97 out of 100 randomized participants (mean age: 64.65 ± 4.84 years, 81.8% female) completed the study (47 in intervention group and 50 in control group). Compared results of baselines, at 1 and 3 months of intervention, significant improvements in waist circumference (83.48 ± 10.22 vs. 82.5 ± 9.88 vs. 82.37 ± 9.42 cm, P for trend = 0.046), 6-min walking distance (525.65 ± 58.46 vs. 534.47 ± 51.87 vs. 552.02 ± 57.66 m, P for trend = 0.001), five-time sit-to-stand time (7.63 ± 1.63 vs. 6.81 ± 1.8 vs. 6.4 ± 1.42 s, P for trend <0.001), grip strength (26.74 ± 6.54 vs. 27.53 ± 6.99 vs. 28.52 ± 7.09 kg, P for trend <0.001), and MNA score (26.8 ± 2.14 vs. 27.73 ± 1.74 vs. 27.55 ± 1.72, P for trend <0.001) were discerned within the intervention group. The intervention demonstrated a significant reduction in serum triglyceride (105.32 ± 49.84 vs. 101.36 ± 42.58 vs. 93.43 ± 41.49 mg/dL, P for trend = 0.023), increased HDL-C (60.04 ± 16.21 vs. 60 ± 17.37 vs. 62.55 ± 18.27 mg/dL, P for trend = 0.02), and DHEA-S levels (97.11 ± 54.39 vs. 103.39 ± 56.75 vs. 106.83 ± 60.56 µg/dL, P for trend = 0.002). Serum myostatin did not differ in both groups, but serum leptin levels significantly increased (9118.88 ± 5811.68 vs. 11508.97 ± 7151.08 vs. 11220.80 ± 7190.71 pg/mL, P for trend = 0.016) in controls. The intervention group showed greater improvements in 6 min walking distance (ß = 0.71, 95% CI: 6.88 to 40.79, P = 0.006), five-time sit-to-stand test (ß = -0.87, 95% CI: -1.59 to -0.15, P = 0.017), MNA score (ß = 0.96, 95% CI: 0.20 to 1.71, P = 0.013), serum triglycerides (ß = -15.01, 95% CI: -27.83 to -2.20, P = 0.022), LDL-C (ß = -9.23, 95% CI: -16.98 to -1.47, P = 0.020), and DHEA-S levels (ß = 9.98, 95% CI: 0.45 to 19.51, P = 0.04) than controls. CONCLUSIONS: Protein-enriched soup with weekly exercise over 12 weeks significantly improved physical performance, lipid profile, and DHEA-S levels among middle-aged and older adults with inadequate protein intake, while studies assessing long-term benefits of the intervention are needed.

Dissecting the vascular-cognitive nexus: energetic vs. conventional hemodynamic parameters.

Blood pressure or flow measurements have been associated with vascular health and cognitive function. We proposed that energetic hemodynamic parameters may provide a more nuanced understanding and stronger correlation with cognitive function, in comparisons with conventional aortic and carotid pressure and flow parameters. The study comprised 1858 participants, in whom we assessed cognitive function via MoCA method, and measured central aortic and carotid pressure and flow waveforms. In addition to various pressure and flow parameters, we calculated energetic hemodynamic parameters through integration of pressure multiplying flow with respect to time. Energetic hemodynamic parameters, particularly aortic and carotid mean and pulsatile energy and pulsatility index (PI), were significantly associated with MoCA score more than any aortic and carotid pressure and flow parameters, after adjusting for age, sex, education, depression score, heart rate, BMI, HDL-cholesterol, and glucose levels. MoCA exhibited a strong positive relationship with carotid mean energy (standardized beta = 0.053, P = 0.0253) and a negative relationship with carotid energy PI (standardized beta = -0.093, P = 0.0002), exceeding the association with all traditional pressure- or flow-based parameters. Aortic pressure reflection coefficient at the aorto-carotid junction was positively correlated with mean carotid energy and negatively correlated with PI. Aortic characteristic impedance positively correlated with carotid energy PI but not mean energy. Our research indicates that energetic hemodynamic parameters, particularly carotid mean energy and carotid energy PI, have a stronger association with MoCA scores than traditional pressure- or flow-based metrics. This correlation with cognitive function is notably influenced by the properties of the aorto-carotid interface.

Sex-specific impacts of social isolation on loneliness, depressive symptoms, cognitive impairment, and biomarkers: Results from the social environment and biomarker of aging study.

OBJECTIVES: To investigate sex-specific associations between social isolation and psychological outcomes and biomarkers among community-dwelling middle-aged and older adults using a nationally representative population-based cohort study. METHODS: Data from 757 participants from the Social Environment and Biomarkers of Aging Study (SEBAS) were retrieved for analysis, and all participants were stratified by sex. The associations between social isolation and psychological outcomes (loneliness, depressive symptoms, and cognitive impairment) at the 4-year follow-up were examined by multivariate logistic regression models, and associations between social isolation and biomarkers at the 4-year follow-up were examined by multivariate generalized linear models (GLMs). RESULTS: For men, social isolation was not associated with the development of loneliness. However, being married (adjusted odds ratio (aOR) 0.32 [95% confidence interval (CI) 0.13-0.74], p<0.001) was associated with a lower risk of loneliness, indicating potential protective effects of marriage for men. On the other hand, social isolation was associated with a 2-fold higher risk of loneliness in women (aOR 2.26 [1.01-5.09], p<0.001). Social isolation was not associated with depressive symptoms after adjusting for other demographics. For men, being married (aOR 0.51 [0.26-0.99], p<0.05) or having good self-reported health (aOR 0.44 [0.21-0.92], p<0.05) was protective against depressive symptoms. For women, only good self-reported health (aOR 0.30 [0.13-0.70], p<0.01) provided protective effects against depressive symptoms. Similarly, other demographic factors (being married and having a higher educational level) but not social isolation were associated with lower risks of cognitive impairment. No significant associations were noted between social isolation and selected biomarkers. CONCLUSIONS: Sex-different associations between social isolation and loneliness were noted; the effects of demographic factors, such as being married, self-reported health status, and high education levels, on subsequent loneliness, depression, and cognitive function were also sex-different. Further intervention studies are needed to explore sex-specific approaches to deal with the interplay of social isolation, loneliness, psychological outcomes and other demographic factors.

Timed Up and Go test and gastrointestinal disorders among hospitalized older adults with fall risk.

PURPOSE OF THE RESEARCH: The study aimed to examine the correlation between underlying medical conditions and gait analysis parameters as well as determine the key determiners of fall risk. MATERIALS AND METHODS: This was a cross-sectional study. A total of 120 hospitalized older adults, recruited from a medical center in northern Taiwan, completed three instruments: the Timed Up and Go (TUG) test, a demographic questionnaire, and the Morse Fall Scale. The inferential statistics were subjected to the chi-square test, Mann-Whitney U test, Kruskal-Wallis test, and Spearman's rank correlation coefficient analysis to determine the correlations among the demographic variables, gait analysis parameters, and fall risk in elderly inpatients. Logistic regression was used to analyze the predictors of elderly inpatients' fall risk. RESULTS: The results showed that longer TUG test times, slower walking speeds, or shorter stride lengths are related to higher fall risk. The new finding was that longer TUG test times and slow gait speeds were correlated with lower gastrointestinal as well as hepatobiliary and pancreatic diseases. CONCLUSIONS: This study confirms that gait analysis parameters are significantly correlated with fall risk among older inpatients and that TUG is an important indicator of frailty, prefrailty, or metabolic state. Early detection of the symptoms of gastrointestinal disorders and the provision of adequate nutrition could potentially improve inpatients' gait and prevent falls.

Intrinsic capacity differs from functional ability in predicting 10-year mortality and biological features in healthy aging: results from the I-Lan longitudinal aging study.

This study aimed to explore the biological features and mortality risk of intrinsic capacity (IC) and functional ability (FA). Based on data from 1839 participants from the I-Lan Longitudinal Aging Study, multivariable Cox proportional hazard models were used to evaluate the predictive ability of IC (range 0-100) and FA (range 0-100) on 10-year mortality. Of 2038 repeated measurements for IC within a 7-year observational period, multivariable logistic regression was used to compare biological features of participants with maintained, improved and rapidly deteriorated IC. A 1-point increased IC value was associated with a 5% (HR 0.95, 95% CI 0.93-0.97, p < 0.001) decrease in mortality risk. Low IC (HR 1.94, 95% CI 1.39-2.70, p < 0.001) was associated with higher mortality risk. Hyperglycemia (OR 1.40, 95% CI 1.09-1.81, p = 0.010), low serum levels of DHEA-S (OR 3.33, 95% CI 1.32-8.41, p = 0.011), and high serum levels of C-reactive protein (OR 1.45, 95% CI 1.05-2.00, p = 0.023) were associated with low IC at baseline. Low serum levels of DHEA-S (middle tertile OR 1.84, 95% CI 1.15-2.95, p = 0.012; lowest tertile OR 2.25, 95% CI 1.34-3.77, p = 0.002) and vitamin D deficiency (OR 1.82, 95% CI 1.02-3.27, p = 0.044) were associated with rapid deterioration of IC. IC and FA predicted 10-year mortality, whereas chronic inflammation, hyperglycemia, and low DHEA-S were associated with low IC status. Low DHEA-S and vitamin D deficiency may be considered as potential biomarkers of rapid IC declines, which implies underlying biological mechanisms of healthy aging.