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Inflammation alters the neural stem cell (NSC) lineage from neuronal to astrogliogenesis. However, the underlying mechanism is elusive. Autophagy contributes to the decline in adult hippocampal neurogenesis under

While certain drug-use indicators are known to be associated with clinical outcomes, the relationship is unclear for some highly prevalent conditions in in patients aged ≥65 years. We examine correlations between 3 drug-use indicators and postdischarge healthcare services use by older patients according to the presence of dementia, advanced age and frailty.This retrospective cohort study analysed data collected from hospital electronic health records between April and December 2017. Potentially inappropriate medications (PIMs) and anticholinergic burden were assessed using the 2015 Beers Criteria and anticholinergic cognitive burden scale (ACBS) score. Minor and major polypharmacy were defined as the use of 5-9 and ≥10 drugs, respectively. Outcomes were set as emergency room revisits and readmissions at 1, 3 and 6 months postdischarge. The correlation between drug-use indicators and outcomes was analysed by multivariable logistic regression.The final cohort included 3061 patients for the analysis, and 2930, 2671 and 2560 patients were followed up to 1, 3 and 6 months after discharge. After controlling for confounders, all 3 drug-use indicators were significantly associated with readmission and emergency room revisits except for the relationship between PIMs and readmission within 6 months. These associations were significantly observed among patients without dementia, aged80 years and with frailty.PIMs, polypharmacy and anticholinergic burden are common at discharge and correlate with future use of healthcare services. In older patients, the absence of dementia, advanced age and frailty should be given extra consideration with regard to medication safety.

Objectives: This study aims to assess the effectiveness of a multidomain intervention program on the change in functional status of hospitalized older adults. Design: This single-arm, prospective, non-randomized interventional study investigates the efficacy of a multidomain interventional program including cognitive stimulation activity, simple exercises, frailty education, and nutrition counseling. Setting and participants: At a tertiary hospital in southern Taiwan, 352 eligible patients were sequentially enrolled. Included patients were aged ≥65 years (mean age, 79.6 ± 9.0 years; 62% male), scored 3–7 on the Clinical Frailty Scale (CFS), and were hospitalized in the geriatric acute ward. Intervention: Those receiving standard care (physical rehabilitation and nutrition counseling) during January–July 2019 composed the historical control group. Those receiving the multidomain intervention during August–December 2019 composed the intervention group. Measurements: The primary outcome was the change in activities of daily life (ADL), as assessed using the Katz Index and a generalized estimating equation model. The length of hospital stay, medical costs, and re-admission rates were secondary outcomes. Results: Participants undergoing intervention (n = 102; 27.9%) showed greater improvements in the ADL and CFS during hospitalization (ADL adjusted estimate, 0.61; 95% CI, 0.11–1.11; p = 0.02; CFS adjusted estimate, −1.11; 95% CI, −1.42– −0.80; p < 0.01), shorter length of hospital stay (adjusted estimate, −5.00; 95% CI, −7.99– −2.47; p < 0.01), lower medical costs (adjusted estimate, 0.58; 95% CI, 0.49–0.69; p < 0.01), and lower 30- and 90-day readmission rates (30-day adjusted OR [aOR], 0.12; 95% CI, 0.27–0.50; p < 0.01; 60-day aOR, 0.04; 95% CI, 0.01–0.33; p < 0.01) than did controls. Conclusions: Participation in the multidomain intervention program during hospitalization improved the functional status and decreased the hospital stay length, medical costs, and readmission rates of frail older people.

Background Sarcopenic obesity aims to capture the risk of functional decline and cardiometabolic diseases, but its operational definition and associated clinical outcomes remain unclear. Using data from the Longitudinal Aging Study of Taipei, this study explored the roles of the muscle‐to‐fat ratio (MFR) with different definitions and its associations with clinical characteristics, functional performance, cardiometabolic risk and outcomes. Methods (1) Appendicular muscle mass divided by total body fat mass (aMFR), (2) total body muscle mass divided by total body fat mass (tMFR) and (3) relative appendicular skeletal muscle mass (RASM) were measured. Each measurement was categorized by the sex‐specific lowest quintiles for all study participants. Clinical outcomes included all‐cause mortality and fracture. Results Data from 1060 community‐dwelling older adults (mean age: 71.0 ± 4.8 years) were retrieved for the study. Overall, 196 (34.2% male participants) participants had low RASM, but none was sarcopenic. Compared with those with high aMFR, participants with low aMFR were older (72 ± 5.6 vs. 70.7 ± 4.6 years, P = 0.005); used more medications (2.9 ± 3.3 vs. 2.1 ± 2.5, P = 0.002); had a higher body fat percentage (38 ± 4.8% vs. 28 ± 6.4%, P

To investigate the relationships between insomnia and metabolic syndrome among Taiwanese older adults. Participants with metabolic syndrome had higher rates of insomnia. The significant associations between insomnia and metabolic syndrome disappeared after adjusting for all covariates. However, insomnia was independently associated with metabolic syndrome in older females after adjusting for all covariates. Older adult participants with metabolic syndrome have higher prevalence of insomnia. Insomnia has higher independent odds for metabolic syndrome in older females, but not in older males. The aim of this study is to investigate the relationships between insomnia and metabolic syndrome among Taiwanese older adults. This cross-sectional study enrolled participants aged over 60 years from outpatient clinics between July and September 2018. Demographic characteristics of all participants and questionnaire data for sleep duration, use of hypnotic agents, baseline activities of daily living, 5 items of the geriatric depression scale, comorbidities, medications, and risk of obstructive sleep apnea were obtained. Insomnia was defined by scores of questionnaires of the Chinese version of the Athens Insomnia Scale higher or equal to 6 points. Metabolic syndrome was diagnosed according to criteria of the National Cholesterol Education Program Adult Treatment Panel III. Multivariable forward stepwise logistic regression analysis was applied to investigate independent associations between insomnia and metabolic syndrome before and after stratifying by gender. Among the 336 participants (mean age 74.9 ± 8.5 years, female 49.1%), 63.1% participants had metabolic syndrome, with significantly higher prevalence among females than males (males 56.7%; females 69.7%). Participants with metabolic syndrome had higher rates of insomnia (34.0% vs. 21.8%, P = 0.018). The significant associations between insomnia and metabolic syndrome disappeared after adjusting for all covariates. However, insomnia was independently associated with metabolic syndrome in older females (adjusted OR 2.614, 95% CI 1.011–6.763, P = 0.048) after adjusting for all covariates. Insomnia is significantly associated with metabolic syndrome among older female adults. These findings suggest that gender may play a role in the pathogenesis of insomnia and metabolic syndrome in older adults.

The coronavirus disease 2019 (COVID-19) pandemic has casted a huge impact on global public health and the economy. In this challenging situation, older people are vulnerable to the infection and the secondary effects of the pandemic and need special attention. To evaluate the impacts of COVID-19 on older people, it is important to balance the successful pandemic control and active management of secondary consequences. These considerations are particularly salient in the Asian context, with its diversity among countries in terms of sociocultural heritage, healthcare setup and availability of resources. Thus, the Asian Working Group for Sarcopenia summarized the considerations of Asian countries focusing on responses and difficulties in each country, impacts of health inequity related to the COVID-19 pandemic and proposed recommendations for older people, which are germane to the Asian context. More innovative services should be developed to address the increasing demands for new approaches to deliver healthcare in these difficult times and to establish resilient healthcare systems for older people. Geriatr Gerontol Int 2020; 9999: n/a-n/a.

Objective The combined effects of individual and neighborhood socioeconomic status (SES) on survival rates of patients with Alzheimer's disease (AD) remain unclear. Design Retrospective cohort study. Setting National Health Insurance Bureau of Taiwan data (2003–2012). Participants Patients with AD. Measurements The authors aimed to analyze the effects of neighborhood and individual SES on the 5-year survival rates of patients with AD. The author defined individual and neighborhood SES based on income-related insurance payment amounts and residence in advantaged versus disadvantaged areas and compared survival rates using the Cox proportional hazards model after adjusting for risk factors. Results A total of 1,754 patients with AD were identified. Each patient was followed for 5 years or censored. The 5-year overall survival rates were worst for those with a low individual SES in a disadvantaged area. After adjustment for sex, age, and comorbidities, patients with a low individual SES living in disadvantaged areas had the worse survival rate than those with a high SES (hazard ratio: 2.19; 95% confidence interval [CI]: 1.53–3.13). In contrast, after the adjustment for characteristics, patients with a high individual SES in disadvantaged areas had a similar mortality rate to those with a high individual SES in advantaged areas (hazard ratio: 0.93; 95% CI: 0.64–1.35). Conclusion Despite universal health coverage, patients with AD and a low individual SES in disadvantaged areas exhibited the worst survival rate. The socioeconomic survival gradient among patients with AD in Taiwan may result from differences in major attributes of individual and neighborhood SES.

Digitalized hand-drawn pattern is a noninvasive and reproducible assistive manner to obtain hand actions and motions for evaluating functional tremors and upper-limb movement disorders. In this study, spirals and straight lines in polar coordinates are used to extract polar expression features such as the key parameters deviation (cm) and accumulation angle (rad). These parameters are quantitative manner to scale the variations of functional tremors in normal control subjects and patients with Parkinson's disease (PD) and essential tremor (ET). However, difficulty arises in using nonlinear polar expression features in the two-dimensional feature space to separate normal control subjects from those with PD and ET. To solve the nonlinear separable classification problem, hash transformation is used to map polar expression features to a high-dimensional space using hash weighing function and modulo operation. Then, a machine learning method, such as the generalized regression neural network (GRNN), is implemented to train a decision-making classifier using the particle swarm optimization (PSO) algorithm for possible class assessment. With the enrolled data from 50 subjects, the fivefold cross validation, mean true positive, mean true negative, and mean hit rates of 98.93%, 98.96%, and 98.93%, respectively, are obtained to quantify the performance of the proposed decision-making classifier to identify normal controls and subjects with PD or ET. The experimental results indicate that the proposed screening model can improve the accuracy rate compared with the conventional machine learning classifier.

Background: Early identification of different stages of cognitive impairment is important to provide available intervention and timely care for the elderly. Objective: This study aimed to examine the ability of the artificial intelligence (AI) technology to distinguish participants with mild cognitive impairment (MCI) from those with mild to moderate dementia based on automated video analysis. Methods: A total of 95 participants were recruited (MCI, 41; mild to moderate dementia, 54). The videos were captured during the Short Portable Mental Status Questionnaire process; the visual and aural features were extracted using these videos. Deep learning models were subsequently constructed for the binary differentiation of MCI and mild to moderate dementia. Correlation analysis of the predicted Mini-Mental State Examination, Cognitive Abilities Screening Instrument scores, and ground truth was also performed. Results: Deep learning models combining both the visual and aural features discriminated MCI from mild to moderate dementia with an area under the curve (AUC) of 77.0% and accuracy of 76.0%. The AUC and accuracy increased to 93.0% and 88.0%, respectively, when depression and anxiety were excluded. Significant moderate correlations were observed between the predicted cognitive function and ground truth, and the correlation was strong excluding depression and anxiety. Interestingly, female, but not male, exhibited a correlation. Conclusion: The study showed that video-based deep learning models can differentiate participants with MCI from those with mild to moderate dementia and can predict cognitive function. This approach may offer a cost-effective and easily applicable method for early detection of cognitive impairment.

To evaluate the negative effect of physical restraint use on the hospital outcomes of older patients. A retrospective cohort study. Internal medicine wards of a tertiary medical center in Taiwan. Subjects aged 65 years and over who were admitted during April to Dec 2017 were recruited for study. Demographic data, geriatric assessments (polypharmacy, visual impairment, hearing impairment, activities of daily living before and after admission, risk of pressure sores, change in consciousness level, mood condition, history of falls in the previous year, risk of malnutrition and pain) and hospital conditions (admission route, department of admission, length of hospital stay and mortality) were collected for analysis. Overall, 4,352 participants (mean age 78.7±8.7 years, 60.2% = male) were enrolled and 8.3% had physical restraint. Results of multivariate logistic regression showed that subjects with physical restraints were at greater risk of functional decline (adjusted odds ratio 2.136, 95% confidence interval 1.322–3.451, p=0.002), longer hospital stays (adjusted odds ratio 5.360, 95% confidence interval 3.627–7.923, p

Background: Insomnia is a common sleep disturbance in older adults and is associated with many poor health outcomes. This study aimed to investigate the relevance of insomnia in older adult outpatients and to analyze differences between genders in factors associated with insomnia.Methods: This cross-sectional study was conducted in the outpatient clinics of a tertiary hospital in Southern Taiwan from July to September 2018. A total of 400 consecutive subjects aged 60 years or older were recruited. Insomnia was defined as a score of > 6 points on the Athens Insomnia Scale (AIS). Socio-demographics, health behaviors and clinical data were collected by face-to-face interview. Multivariable logistic regression was adopted for statistical analysis of the entire sample and stratified by gender.Results: Participants’ mean age was 74.74 ± 8.54 years, and the majority (93%) had more than one chronic disease. The prevalence of insomnia accounted for 30% (120/400) of all subjects, with males 22.9% (46/201) and females 37.2% (74/199). Gender, appetite, exercise, depressive symptoms, and sleep-related conditions such as short sleep duration, sleeping pills usage, medium-high risk of obstructive sleep apnea(OSA) and restless leg syndrome(RLS) were factors associated with insomnia in older adults. Exercise, sleeping pills usage, and RLS had an independent association with insomnia only in men, while appetite was associated with insomnia in women only.Conclusions: Insomnia is highly prevalent among older adults, predominantly females. Significant differences are found between genders in factors associated with insomnia. Understanding gender differences may help clinicians to modify associated factors when managing older adults with insomnia.

Aging is a dynamic complex process involving social vulnerability over time. The social vulnerability index (SVI) was developed that predicted adverse health outcomes. This study examined effects between SVI status and two genotypes, apolipoprotein E (ApoE) and Serotonin transporter genotyping (5-HTTLPR), on all-cause mortality. Data from the Social Environment and Biomarkers of Aging Study (SEBAS) were obtained, and SVI was constructed using 32 self-reported items of social determinants. Data from 985 participants (age: 65.73 ± 9.47 years, 54.62% males) were obtained for analysis, and the median SVI was 0.35 (IQR 0.29-0.42) with a near normal distribution. Participants with a higher SVI were more likely to be women and have poor cognitive function, more depressive symptoms and poor physical function. Adjusted for age and sex, each incremental deficit in SVI was associated with a 12% increase in mortality risk (HR: 1.12, 95% CI: 1.04-1.20, p = 0.002). An interaction was found between ApoE and SVI but not 5-HTTLPR. The strata-specific hazard ratio confirmed that associations between SVI and mortality was only in non-e4 carriers (HR: 1.15, 95% CI: 1.07-1.24, p < 0.001), and SVI did not significantly predict mortality among e4 carriers (HR: 0.84, 95% CI: 0.65-1.10). Differential SVI effects on mortality among middle-age and older adults were identified. In conclusion, a higher SVI was associated with all-cause mortality among middle-aged and older adults, and the association was moderated by ApoE genotypes but not 5-HTTLPR. Further study is needed to evaluate the clinical efficacy of healthy aging intervention programs considering gene-environment interactions and social vulnerability.

To determine whether nutritional status can predict 3-year cognitive and functional decline, as well as 4-year all-cause mortality in older adults. Prospectively longitudinal cohort study. The study recruited 354 men aged 65 years and older in the veteran’s retirement community. Baseline nutritional status was evaluated using the Mini-Nutritional Assessment-Short Form (MNA-SF). Cognitive function and Activities of Daily Living (ADL) function were determined by the Mini-Mental State Examination (MMSE) and the Barthel Index, respectively. Three-year cognitive and functional decline were respectively defined as a >3 point decrease in the MMSE scores and lower ADL scores than at baseline. Univariate and multivariable logistic regression analyses were conducted to identify nutritional status as a risk factor in poor outcome. The Kaplan-Meier method and Cox proportional regression models were used to estimate the effect of malnutrition risk on the mortality. According to MNS-SF, the prevalence of risk of malnutrition was 53.1% (188/354). Multivariate logistic regression found risk of malnutrition significantly associated with 3-year cognitive decline (Adjusted odds ratio [OR] 2.07, 95% Confidence Interval [CI] 1.05–4.08, P =0.036) and functional decline (Adjusted OR 1.83, 95% CI 1.01–3.34, P =0.047) compared with normal nutritional status. The hazard ratio (HR) for all-cause mortality was 1.8 times higher in residents at risk of malnutrition (Adjusted HR 1.82, 95% CI 1.19–2.79, P =0.006). Our results provide strong evidence that risk of malnutrition can predict not only cognitive and functional decline but also risk of all-cause mortality in older men living in a veteran retirement’s community. Further longitudinal studies are needed to explore the causal relationship among nutrition, clinical outcomes, and the effect of an intervention for malnutrition.

Older adults often experience functional decline following acute medical care. This functional decline may lead to permanent disability, which will increase the burden on the medical and long-term care systems, families, and society as a whole. Post-acute care aims to promote the functional recovery of older adults, prevent unnecessary hospital readmission, and avoid premature admission to a long-term care facility. Research has shown that post-acute care is a cost-effective service model, with both the hospital-at-home and community hospital post-acute care models being highly effective. This paper describes the post-acute care models of the United States and the United Kingdom and uses the example of Taiwan’s highly effective post-acute care system to explain the benefits and importance of post-acute care. In the face of rapid demographic aging and smaller household size, a post-acute care system can lower medical costs and improve the health of older adults after hospitalization.

Excessive maternal high-fructose diet (HFD) during pregnancy and lactation has been reported to cause metabolic disorders in the offspring. Whether the infant’s brain metabolism is disturbed by maternal HFD is largely unknown. Brain energy metabolism is elevated dramatically during fetal and postnatal development, whereby maternal nutrition is a key factor that determines cellular metabolism. Astrocytes, a nonneuronal cell type in the brain, are considered to support the high-energy demands of neurons by supplying lactate. In this study, the effects of maternal HFD on astrocytic glucose metabolism were investigated using hippocampal primary cultures of female infants. We found that glycolytic capacity and mitochondrial respiration and electron transport chain were suppressed by maternal HFD. Mitochondrial DNA copy number and mitochondrial transcription factor A expression were suppressed by maternal HFD. Western blots and immunofluorescent images further indicated that the glucose transporter 1 was downregulated whereas the insulin receptor-α, phospho-insulin receptor substrate-1 (Y612) and the p85 subunit of phosphatidylinositide 3-kinase were upregulated in the HFD group. Pioglitazone, which is known to increase astrocytic glucose metabolism, effectively reversed the suppressed glycolysis, and lactate release was restored. Moreover, pioglitazone also normalized oxidative phosphorylation with an increase of cytosolic ATP. Together, these results suggest that maternal HFD impairs astrocytic energy metabolic pathways that were reversed by pioglitazone.

Functional tremors are clear symptoms of neurodegenerative diseases; as such, they indicate the progression of Parkinson's disease (PD). Digitized handwritten pattern analysis of Archimedes' spirals, words, and sentences can help evaluate movement discords in the upper limbs. It offers a simple, comfortable, and repeatable method of examination for clinical applications and at-home monitoring usages. Upper limb tremors can be found in PD, essential tremor (ET), and cerebellar disorders. This paper proposes a quantitative method to scale the variations of functional tremors. The deviation (in cm) and the accumulation angle (in rad) of the feature pattern in polar expression were extracted to scale the variability at different tremor levels. Then, the proposed intelligent classifier, which is used as a perceptual color representation-based classifier (PCRC) and comprises a radial Bayesian network and a color relation analysis method, was employed to screen PD or ET with perceptual color representation. An assistant tool can integrate a smart mobile device (iPad/smartphone) and PCRC into the decision support system for individualized functions to evaluate the progression of the tremor level. The proposed decision support system was validated using data collected from 50 subjects. With fivefold cross-validation, average true positive, average true negative, and hit rates of 92.02%, 88.17% and 90.44%, respectively, were obtained to quantify the performance of the proposed classifier for identifying normal controls and PD or ET.

Summary Background Integrating primary prevention into care pathways for older adults is a core strategy of healthy ageing, but evidence remains limited. We aimed to determine whether incorporating a multidomain intervention into primary health care could improve standard value-based health outcomes and quality of life. Methods For this Taiwan Integrated Geriatric Care (TIGER) study, a pragmatic randomised controlled trial, we recruited community-dwelling outpatients aged 65 years or older with at least three chronic medical conditions. We excluded people with malignancies undergoing chemotherapy, people with a life expectancy of less than 12 months, or people who were insufficiently able to communicate with study staff. Participants were randomly assigned (1:1) to usual care or to the integrated multidomain intervention using block randomisation. The integrated multidomain intervention entailed 16 2-h sessions per year, comprising communal physical exercise, cognitive training, nutrition and disease education, plus individualised treatment by specialists in integrated geriatric care. The primary outcome was changes from baseline quality of life, based on 36-item Short Form Health Survey (SF-36) scores, at 3, 6, 9, and 12 months. Intervention effects were analysed per protocol using a generalised linear mixed model. This trial is registered with ClinicalTrials.gov , NCT03528005 . Findings Between June 25, 2018, and Feb 15, 2019, 628 participants were screened, of whom 398 were assigned to the integrated multidomain intervention (n=199) or to usual care (n=199). 335 (84%) participants completed the 12-month follow-up. Compared with the usual care group, the integrated multidomain intervention group had significantly higher mean SF-36 physical component scores across all timepoints (overall difference 0·8, 95% CI 0·2–1·5; p=0·010), but differences at 3, 6, 9, and 12 months did not reach statistical significance. The SF-36 mental component scores did not differ significantly overall, but were significantly higher in the integrated multidomain intervention group at the 12-month follow-up (55·3 [SD 7·6] vs 57·2 [7·0]; p=0·019). No serious adverse events occurred. Interpretation Incorporating multidomain interventions into integrated health care improved quality of life. Our standardised protocol is amenable to inclusion in policies to promote value-based care and healthy ageing. Funding National Health Research Institutes, Taiwan, and Ministry of Science and Technology, Taiwan.

Backgrounds To investigate the efficacy of a community group-based intervention among community-dwelling older adults with physio-cognitive decline syndrome (PCDS). Methods A prospective cluster randomized controlled trial included 733 community-dwelling older adults with adjusted Montreal Cognitive Assessment (MoCA adj) scores >18 from 40 community-based sites across Taiwan. PCDS was defined as the concomitant presence of physical declines, i.e., slowness and/or weakness plus dysfunction in any cognitive domain. The multidomain intervention integrated physical exercise, cognitive training, nutritional advices and health education lessons. Conventional health education in control group entailed periodic telephone calls to offer participants health education and advice. The primary outcome was the mean differences of MoCA adj total scores and all domains of MoCA adj between baseline and 6- and 12-month follow-up in each group of PCDS, cognitive dysfunction, mobility-type frailty and normal functioning, and the secondary outcomes included the changes of frailty score, handgrip strength, gait speed and physical activity. Intervention effects were analysed using a generalized linear mixed model. Results Overall, 18.9% of the study sample had PCDS. Multidomain intervention for 12 months significantly improved cognitive performance in people with PCDS, and those with cognitive dysfunction only. An early benefit on visuo-spatial executive function was seen in older adults with mobility-type frailty. Intervention also improved frailty scores among participants with mobility-type frailty, handgrip strength for participants with PCDS, and gait speed in the normal group. Conclusions PCDS is a potentially reversible condition that may prevent subsequent disability and dementia, which deserves further investigation to confirm the long-term effects.

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 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.

To develop a predictive model to identify hospitalized older patients at risk of functional decline. Older age, hearing impairment, history of falls within one year, risk of malnutrition, physical restraint, admission via emergency department and hospital stay ≥5 days were independent predictive factors for decline. A scoring system constructed from the above predictive factors ranged from 0-18 points and ≥6 points was chosen as the cut-off point. A scoring system, HAD-FREE Score developed from seven independent factors could predict functional decline with moderate discriminative ability and good validation. To develop a predictive model to identify hospitalized older patients at risk of functional decline. This retrospective cohort study recruited participants aged 65 years and over admitted to internal medicine wards of a tertiary medical center in Taiwan during May to October 2017 for developing predictive model (n = 1698) and those admitted during November to December 2017 for validation study (n = 530) of the model. Demographic data, geriatric assessments and hospital conditions (admission route and length of hospital stay) were collected for analysis. Overall, of the 1698 participants (mean age 75.8 ± 7.9 years, 60.9% male) enrolled in the development study, 20.1% had functional decline. Results of multivariate logistic regression showed that older age, hearing impairment, history of falls within one year, risk of malnutrition, physical restraint, admission via emergency department and hospital stay ≥ 5 days were independent predictive factors for decline. A scoring system, HAD-FREE Score, constructed from the above predictive factors ranged from 0 to 18 points and ≥ 6 points was chosen as the cut-off point. The area under the receiver operating characteristic analysis was 0.748 (95% confidence interval: 0.720–0.776), the sensitivity was 65.3% and the specificity was 71.3%. Validation of the HAD-FREE Score showed moderate discriminative ability in the validation study. A HAD-FREE Score developed from seven independent factors could predict functional decline with moderate discriminative ability and good validation. This scoring system can be the basis of an automatic dynamic tracking within the electronic medical record to identify those older patients at risk of functional decline during hospitalization.

Introduction As populations age, sarcopenia becomes a major health problem among adults aged 65 years and older. However, little information is available about the relationship between sarcopenia and brain structure abnormalities. The objective of this study was to investigate associations between sarcopenia and brain atrophy in older adults and relationships with regional brain areas. Methods This prospective cohort study recruited 102 retirement community residents aged 65 years and older. All participants underwent gait speed measurement, handgrip strength measurement and muscle mass measurement by dual X-ray absorptiometry. Diagnosis of sarcopenia was made according to criteria of the Asian Working Group for Sarcopenia (AWGSOP). All patients underwent magnetic resonance imaging (MRI), and images were analysed for global cortical atrophy (GCA) (range 0–3), parietal atrophy (PA) (range 0–3) and medial temporal atrophy (MTA) (range 0–4). Results Among 102 older adult participants (81.4 ± 8.2 years), 47 (46.1%) were diagnosed with sarcopenia according to AWGSOP criteria. The sarcopenia group had more moderate to severe PA (Grade 2: 19.1% vs. 5.5%; grade 3:6.4% vs. 0%, P = 0.016) and GCA (Grade 2: 40.4% vs. 18.2%, P = 0.003) and a trend of more moderate to severe MTA (Grade 2: 46.8% vs. 30.9%; grade 3: 8.5% vs. 1.8%, P = 0.098) than the non-sarcopenia group. In univariate logistic regression, sarcopenia was significantly associated with PA (OR 5.94, 95% CI 1.56–22.60, P = 0.009), GCA (OR 3.05, 95% CI 1.24–7.51, P = 0.015), and MTA (OR 2.55, 95% CI 1.14–5.69, P = 0.023). In multivariable logistic regression analysis, sarcopenia was an independent risk factor for PA (adjusted OR 6.90, 95% CI 1.30–36.47, P = 0.023). After adjusting for all covariates, only age had a significant relationship with GCA (Adjusted OR 1.09, 95% CI 1.00–1.19, P = 0.044) and MTA (Adjusted OR 1.09, 95% CI 1.01–1.17, P = 0.022). Conclusions This is the first study to explore associations between sarcopenia and global as well as regional brain atrophy in older adults. The sarcopenia group had higher rates of moderate to severe PA, GCA and MTA than the non-sarcopenia group. PA was significantly associated with sarcopenia in older adults. Further longitudinal studies are needed to address the mechanism and pathogenesis of brain atrophy and sarcopenia.

Background Chronic kidney disease (CKD), low serum albumin, and anemia are known risk factors for cognitive decline in older people. We investigated the association between kidney function and cognitive impairment severity in oldest-old people with a diagnosis of Alzheimer’s disease (AD). Methods A cross-sectional study of patients aged 80 years and older was conducted at a veterans’ home in Taiwan between 2012 and 2016. Their estimated glomerular filtration rate (eGFR) was determined using the Modification of Diet in Renal Diseases (MDRD) equation. Cognitive function was evaluated with the Mini-Mental State Examination (MMSE) and Clinical Dementia Rating (CDR). Results A total of 84 patients (age mean ± SD, 86.6 ± 3.9 years) had MMSE scores of 10.1 ± 6.7, and CDR scores of 1.6 ± 0.7. The average eGFR was 61.7 ± 21.5 mL/min/1.73m2. The mean hemoglobin concentration was 12.7 ± 1.7 g/dl, and the mean albumin concentration was 4.5 ± 4.8 g/dl. Multivariate regression analyses showed that scores of CDR were significantly correlated with eGFR after adjustment for potential confounders. The scores of MMSE were significantly correlated with serum albumin and hemoglobin after adjustment for potential confounders. Conclusions We found dementia severity was significantly associated with kidney function, serum albumin, and hemoglobin in the oldest-old with AD. We recommend that oldest-old people with a diagnosis of AD be evaluated to determine kidney function, as well as nutritional and hematological status. Further study is needed to establish whether prevention of CKD deterioration, and correction of malnutrition and anemia may help to slow cognitive decline in oldest-old people with dementia.

Maternal high-fructose diets (HFD) impair the learning and memory capacity of adult female offspring via histone deacetylase 4 (HDAC4). Hippocampal adult neurogenesis is important for supporting the function of existing neural circuits. In this study, we investigated the effects of maternal HFD on hippocampal neural stem cell (NSC) proliferation and neuronal differentiation in adult offspring. Increased nuclear HDAC4 enzyme activity was detected in the hippocampus of HFD female offspring. The Western blot analyses indicated that the expressions of sex-determining region Y box2 (SOX2) and the transcription factor Paired Box 6 (PAX6), which are critical for the progression of NSC proliferation and differentiation, were downregulated. Concurrently, the expression of Ki67 (a cellular marker for proliferation) and doublecortin (DCX), which are related to NSC division and neuronal differentiation, was suppressed. Intracerebroventricular infusion with class II HDAC inhibitor (Mc1568, 4 weeks) led to the upregulation of these proteins. Environmental stimulation reversed the expression of Ki67 and DCX and the counts of Ki67- and DCX-positive cells in the hippocampi of HFD offspring as a result of providing the enriched housing for 4 weeks. Together, these results demonstrate that the suppressive effects of maternal HFD on hippocampal NSC proliferation and neuronal differentiation are reversibly mediated through HDAC4 and can be effectively reversed by environmental stimulation. The advantageous effects of environmental enrichment were possibly mediated by HDAC4 suppression.

To assess the prevalence of sarcopenia and its related factors using the 2019 diagnostic criteria of sarcopenia recommended by the Asian Working Group for Sarcopenia (AWGS) among residents who lived in a veterans’ home. The prevalence of sarcopenia was high (66.9%, n = 93). After adjusting for age, low body mass index (BMI) and low Barthel Index (BI) scale score were significantly predictive of sarcopenia, but the mini-mental state examination (MMSE) scales and Lawton and Brody Instrumental Activities of Daily Living scales (IADL) scores not. Sarcopenia is highly prevalent in the present sample. Health providers should pay more attention to residents who have low BMI and impaired basic activities, because they tend to suffer from sarcopenia. Older adults are more likely to experience the disorder of skeletal muscles. This study aimed to examine the prevalence of sarcopenia using the diagnostic procedures of sarcopenia recommended by the Asian Working Group for Sarcopenia in 2019. The association of sarcopenia with physical activity and other factors was also explored. A cross-sectional study was designed. The sample came from a veterans’ home in southern Taiwan during the months of July–September 2018. Sarcopenia was diagnosed according to the Asian Working Group for Sarcopenia (AWGS) criteria in 2019. Skeletal muscle mass and grip strength were determined using bioelectrical impedance analysis and a digital dynamometer, respectively. The walking speed for a 6-m distance was also measured. Furthermore, the Barthel Index (BI), Lawton and Brody Instrumental Activities of Daily Living scales (IADL), mini-mental state examination (MMSE), and body mass index (BMI) were also collected. Overall, 139 men with a mean age of 84.3 years (± 10.3 years) were analyzed. According to the recommendation of the AWGS in 2019, the prevalence of sarcopenia was 66.9% (n = 93), whereas 55.4% (n = 77) of men were determined to have severe sarcopenia. After adjusting for age, BMI (OR 0.63, 95% CI 0.53–0.75, p

OBJECTIVES The dopaminergic pathway plays a vital role in pain expression. Here, our aim was to investigate the effects of polymorphisms in genes encoding the dopamine active transporter (SLC6A3) and dopamine receptor D2 (DRD2) on preoperative pain expression among patients preparing for orthopedic surgery. METHODS Chinese elderly patients scheduled for orthopedic surgery were enrolled. The VAS was used to evaluate pain intensity (score range 0 to 10; 0 = no pain; 10 = worst pain possible). Depressive symptoms were evaluated via the 15-item Geriatric Depression Scale. DNA was isolated from venous blood samples, and single-nucleotide polymorphisms of SLC6A3 and DRD2 were genotyped. Multiple linear regressions analyses were carried out to adjust the results for confounders. RESULTS A total of 294 patients with a mean age of 73.82 ± 8.03 years were enrolled in this study. After adjustment for confounders, rs393795 in SLC6A3 showed a significant association with preoperative VAS scores. Patients with the A/A genotype reported lower mean pain scores than did those with the A/C genotype (P = 0.026). Subsequent depression-stratified analysis of rs6276 in DRD2 revealed that patients with the A/A genotype had higher pain scores than did those with the G/G genotype (P = 0.043). No associations were found for DRD2 rs6277 in the whole study population or depression-stratified groups. CONCLUSION Genetic variations in SLC6A3 and DRD2 may play an important role in pain expression among the elderly prior to orthopedic surgery.

Background Effectively utilizing disease-relevant text information from unstructured clinical notes for medical research presents many challenges. BERT (Bidirectional Encoder Representation from Transformers) related models such as BioBERT and ClinicalBERT, pre-trained on biomedical corpora and general clinical information, have shown promising performance in various biomedical language processing tasks. Objectives This study aims to explore whether a BERT-based model pre-trained on disease-related clinical information can be more effective for cerebrovascular disease-relevant research. Methods This study proposed the StrokeBERT which was initialized from BioBERT and pre-trained on large-scale cerebrovascular disease related clinical text information. The pre-trained corpora contained 113,590 discharge notes, 105,743 radiology reports, and 38,199 neurological reports. Two real-world empirical clinical tasks were conducted to validate StrokeBERT's performance. The first task identified extracranial and intracranial artery stenosis from two independent sets of radiology angiography reports. The second task predicted the risk of recurrent ischemic stroke based on patients’ first discharge information. Results In stenosis detection, StrokeBERT showed improved performance on targeted carotid arteries, with an average AUC compared to that of ClinicalBERT of 0.968 ± 0.021 and 0.956 ± 0.018, respectively. In recurrent ischemic stroke prediction, after 10-fold cross-validation on 1,700 discharge information, StrokeBERT presented better prediction ability (AUC±SD = 0.838 ± 0.017) than ClinicalBERT (AUC±SD = 0.808 ± 0.045). The attention scores of StrokeBERT showed better ability to detect and associate cerebrovascular disease related terms than current BERT based models. Conclusions This study shows that a disease-specific BERT model improved the performance and accuracy of various disease-specific language processing tasks and can readily be fine-tuned to advance cerebrovascular disease research and further developed for clinical applications.

Little is known about the effects of seamless hospital discharge planning on long-term care (LTC) costs and effectiveness. This study evaluates the cost and effectiveness of the recently implemented policy from hospital to LTC between patients discharged under seamless transition and standard transition. A total of 49 elderly patients in the standard transition cohort and 119 in the seamless transition cohort were recruited from November 2016 to February 2018. Data collected from medical records included the Multimorbidity Frailty Index, Activities of Daily Living Scale, and Malnutrition Universal Screening Tool during hospitalization. Multiple linear regression and Cox regression models were used to explore risk factors for medical resource utilization and medical outcomes. After adjustment for effective predictors, the seamless cohort had lower direct medical costs, a shorter length of stay, a higher survival rate, and a lower unplanned readmission rate compared to the standard cohort. However, only mean total direct medical costs during hospitalization and 6 months after discharge were significantly (p &lt, 0.001) lower in the seamless cohort (USD 6192) compared to the standard cohort (USD 8361). Additionally, the annual per-patient economic burden in the seamless cohort approximated USD 2.9–3.3 billion. Analysis of the economic burden of disability in the elderly population in Taiwan indicates that seamless transition planning can save approximately USD 3 billion in annual healthcare costs. Implementing this policy would achieve continuous improvement in LTC quality and reduce the financial burden of healthcare on the Taiwanese government.

Aim The present study aimed to determine whether the Mini-Nutritional Assessment Short-Form (MNA-SF) can predict the 1-year outcome of orthopedic fracture surgery in elderly patients. Methods This 1-year prospective study assessed nutrition using the MNA-SF at baseline, and postoperatively at 6 and 12 months. Repeated measures analysis of covariance was used to examine functional change over time for two MNA-SF categories. Multivariable logistic regression analysis with forward stepwise modeling was carried out to identify risk factors of functional decline, emergency department visit, hospital readmission and mortality at follow up. Results There were 312 participants, 11 of whom died (3.53%) during 1-year follow up. The mean age was 74.04 ± 7.65 years. A total of 88.1% and 11.9% of the participants were well nourished (MNA-SF 12–14 points) or at risk of undernutrition (0–11 points), respectively. For MNA-SF as a continuous variable, lower MNA-SF scores were associated with a significantly higher risk of emergency department visit at 6-month follow up, and mortality at 12-month follow up (emergency room visit, adjusted odds ratio 0.78, 95% CI 0.63–0.96, P