Social network associated with depressed mood and sarcopenia among older adults in Taiwan.

BACKGROUND: Social isolation is increasing in aging societies; however, its relationship with depressed mood and sarcopenia is not well studied. This study aims to examine the influence of social network on depressed mood and sarcopenia among community-dwelling older adults in Taiwan. METHODS: We collected data from a sample of 981 older adults residing in the community. These individuals received government-subsidized preventive healthcare services for adults at a district hospital in Taipei in 2021. The social network of the older adults who participated was assessed using the Lubben Social Network Scale, while depressed mood was assessed using the Geriatric Depression Scale. The definition of sarcopenia used in this study was based on the 2019 Asian Working Group for Sarcopenia. RESULTS: According to this study, sarcopenia was present in approximately 15 % of older adults. Multiple logistic regression analysis showed that older adults who had poor social network and did not meet the recommended 150 min of regular physical activity per week were more likely to have depressed mood. Additionally, older adults who were older, underweight, did not engage in regular physical activity, and had poor social network were more likely to have sarcopenia. CONCLUSION: Poor social network was associated with increased risks of depressed mood and sarcopenia among older adults.

One-Year Medical Utilization and Mortality in Home Health and Nursing Home Care Recipients from Northern Taiwan.

OBJECTIVES: Home health care (HHC) and nursing home care (NHC) are mainstays of long-term service in the aged population. Therefore, we aimed to investigate the factors associated with 1-year medical utilization and mortality in HHC and NHC recipients in Northern Taiwan. DESIGN: This study employed a prospective cohort design. SETTING AND PARTICIPANTS: We enrolled 815 HHC and NHC participants who started receiving medical care services from the National Taiwan University Hospital, Beihu Branch between January 2015 and December 2017. METHODS: Multivariate Poisson regression modeling was used to quantify the relationship between care model (HHC vs NHC) and medical utilization. Cox proportional-hazards modeling was used to estimate hazard ratios and factors associated with mortality. RESULTS: Compared with NHC recipients, HHC recipients had higher 1-year utilization of emergency department services [incidence rate ratio (IRR) 2.04, 95% CI 1.16-3.59] and hospital admissions (IRR 1.49, 95% CI 1.14-1.93), as well as longer total hospital length of stay (LOS) (IRR 1.61, 95% CI 1.52-1.71) and LOS per hospital admission (IRR 1.31, 95% CI 1.22-1.41). Living at home or in a nursing home did not affect the 1-year mortality. CONCLUSIONS AND IMPLICATIONS: Compared with NHC recipients, HHC recipients had a higher number of emergency department services and hospital admissions, as well as longer hospital LOS. Policies should be developed to reduce emergency department and hospitalization utilization in HHC recipients.

Adiponectin-leptin ratio for the early detection of lean non-alcoholic fatty liver disease independent of insulin resistance.

BACKGROUND: Lean Non-alcoholic Fatty Liver Disease (NAFLD) shares a similar disease burden to those of their overweight counterparts and should be detected early. We hypothesized that the adiponectin-leptin ratio (AL ratio) could be a good marker for early detection of lean NAFLD independent of insulin resistance. MATERIALS AND METHODS: A total of 575 adults without diabetes were enrolled in a community-based study. The subjects were stratified into the lean controls, lean NAFLD, simple overweight/obesity and overweight/obesity NAFLD groups according to body mass index (BMI) and ultrasonographic fatty liver indicators. Serum adiponectin and leptin levels were measured by enzyme-linked immunosorbent assay. Multivariate logistic regression analyses were performed to estimate the odds ratio of having NAFLD in relation to the tertiles of serum AL concentration after adjustment. Receiver operating characteristic (ROC) analyses were applied to evaluate the diagnostic performance of the AL ratio for NAFLD. RESULTS: The mean age of the participants was 42.8 ± 11.5 years. Comparing with the lean controls, the odds of having lean NAFLD for the highest versus the lowest tertile of AL ratio was 0.28(95%CI: 0.12-0.69) after adjustment. Putting AL ratio, BMI, triglyceride, AST/ALT ratio to the diagnosis performance of NAFLD, the ROC was 0.85 (95% CI: 0.82-0.88), 0.83 (95% CI 0.78-0.87) and 0.86 (95% CI 081-0.91) for all NAFLD, NAFLD in women and NAFLD in men, respectively. (p < .001). CONCLUSIONS: The study revealed that the AL ratio could be a good biomarker to early distinguish lean NAFLD patients from lean controls independent of insulin resistance. [AQ3]Key messagesThe prevalence of non-alcoholic fatty liver disease (NAFLD) increases globally and is related to liver diseases and metabolic dysfunctions. Lean subset of NAFLD shares a similar disease burden to those of their overweight counterparts and should be detected early.Adiponectin-leptin ratio were associated with the severity of steatosis and was a predictor of obese NAFLD better than each single adipokine. To date, there is no investigation that explores specifically for the relationship between lean NAFLD and AL ratio.Our study found that adiponectin-leptin ratio is a sole independent marker regardless of insulin resistance in lean NAFLD. Having lean NAFLD for the highest versus the lowest tertile of adiponectin-leptin ratio was 0.28(95%CI: 0.12-0.69) after adjustment of age, sex, current smoking, exercise habits, HOMA-IR and AST/ALT. ROC for the NAFLD performance is good for the early detection (0.85; 95% CI: 0.82-0.88). Further rigorous investigation is necessary and should be promptly performed.

Dose-Dependent Association between Sarcopenia and Moderate-To-Severe Thoracic Vertebral Fragility Fracture in Older Adults.

INTRODUCTION: Sarcopenia and vertebral fracture affect a large number of older adults and can be debilitating. However, the correlation between sarcopenia and vertebral fracture has not been well studied. Thus, this study investigates the correlation between vertebral fragility fracture and the severity of sarcopenia. METHOD: This cross-sectional study included 300 community-dwelling older adults with risk higher than 10-year probability of 3% for a hip fracture and 20% for a major osteoporotic fracture by FRAX score. Sarcopenia was defined according to the Asian Working Group for Sarcopenia consensus. Bone mineral density (BMD) was classified into normal or abnormal groups (T score ≤ -1.0) according to WHO criteria. Vertebral fracture was graded mild, moderate, and severe by a standardized semi-quantitative method. The association between sarcopenia and vertebral fragility fracture was investigated using a logistic regression model adjusted for confounding factors. RESULTS: Compared with the normal BMD group, the abnormal BMD group had a significantly higher prevalence of sarcopenia (7.4 vs. 26.6%, p < 0.001), poorer muscle mass (p < 0.001), and poorer hand grip (p < 0.001). The prevalence of moderate-to-severe fracture was significantly different (p = 0.006) among severe sarcopenia (16.7%), sarcopenia (6.9%), and non-sarcopenia (3.7%) for thoracic vertebrae. In the logistical regression model adjusted for confounding factors, sarcopenia plus severe sarcopenia was identified as a risk factor for moderate-to-severe thoracic vertebral fragility fracture (odds ratio [OR] = 3.29, 95% CI: 1.23-8.78, p = 0.018). We further classified the participants into normal, sarcopenia, and severe sarcopenia and found that sarcopenia and severe sarcopenia had a dose-dependent association with prevalence of thoracic vertebral fragility fractures with ORs of 2.56 (95% CI: 0.66-9.91) and 4.04 (95% CI: 1.24-13.20), respectively; p for trend = 0.014. CONCLUSION: Sarcopenia is a potential risk factor for and has a dose-dependent association with moderate-to-severe thoracic fragility fracture in older adults at increased risk for fractures.

Quantitative imaging of ultrasound backscattered signals with information entropy for bone microstructure characterization.

Osteoporosis is a critical problem during aging. Ultrasound signals backscattered from bone contain information associated with microstructures. This study proposed using entropy imaging to collect the information in bone microstructures as a possible solution for ultrasound bone tissue characterization. Bone phantoms with different pounds per cubic foot (PCF) were used for ultrasound scanning by using single-element transducers of 1 (nonfocused) and 3.5 MHz (nonfocused and focused). Clinical measurements were also performed on lumbar vertebrae (L3 spinal segment) in participants with different ages (n = 34) and postmenopausal women with low or moderate-to-high risk of osteoporosis (n = 50; identified using the Osteoporosis Self-Assessment Tool for Taiwan). The signals backscattered from the bone phantoms and subjects were acquired for ultrasound entropy imaging by using sliding window processing. The independent t-test, one-way analysis of variance, Spearman correlation coefficient rs, and the receiver operating characteristic (ROC) curve were used for statistical analysis. The results indicated that ultrasound entropy imaging revealed changes in bone microstructures. Using the 3.5-MHz focused ultrasound, small-window entropy imaging (side length: one pulse length of the transducer) was found to have high performance and sensitivity in detecting variation among the PCFs (rs = - 0.83; p < 0.05). Small-window entropy imaging also performed well in discriminating young and old participants (p < 0.05) and postmenopausal women with low versus moderate-to-high osteoporosis risk (the area under the ROC curve = 0.80; cut-off value = 2.65; accuracy = 86.00%; sensitivity = 71.43%; specificity = 88.37%). Ultrasound small-window entropy imaging has great potential in bone tissue characterization and osteoporosis assessment.

Elevated serum S14 levels are associated with more severe liver steatosis by ultrasonography.

S14 has been identified as a potent stimulator of de novo hepatic lipogenesis (DNL) in rodents. However, it is unclear how S14 is regulated in humans with non-alcoholic fatty liver disease (NAFLD). The aim of this study was to investigate the relationship between serum S14 and liver steatosis in humans with NAFLD. A total of 614 participants were recruited from community. Liver steatosis were evaluated according to the Ultrasonographic Fatty Liver Indicator (US-FLI), which is a semi-quantitative liver ultrasound score. Anthropometric and biochemical indices were collected for further analysis. The risk of liver steatosis severity was estimated by a cumulative logistic regression model. NAFLD was found in 52.2% of the participants. The subjects with NAFLD showed higher levels of waist circumference, body mass index, insulin resistance, aspartate aminotransferase, dyslipidemia, visceral fat, serum S14 and risk of metabolic syndrome (MetS) than those of controls. Compared with the first tertile of serum S14, the odds ratios for the risk of more severe liver steatosis were 1.22 (95% confidence interval [CI]: 0.78-1.92) for those of the second tertile and 2.08 (95% CI: 1.28-3.39) for the third tertile (P for trend < 0.05) after adjusting for confounding factors. Higher serum S14 level was not only found in NAFLD subjects but also was positively correlated with the severity of liver steatosis. S14 may play an important role in the mechanism of DNL for NAFLD in humans.

Comparison of transient elastography and Model for End-Stage Liver Disease-sodium to Model for End-Stage Liver Disease-sodium alone to predict mortality and liver transplantation.

OBJECTIVES: Model for End-Stage Liver Disease (MELD) alone and with sodium (MELD-Na) have decreasing predictive capacity as trends in liver disease evolve. We sought to combine transient elastography (TE) with MELD-Na to improve its predictive ability. METHODS: This is a retrospective cohort study comparing the use of TE, MELD-Na, and composite MELD-Na-TE to predict liver transplantation and all-cause mortality, with hepatic decompensation as a secondary outcome. Cox proportional hazards regression was used to measure predictive ability and control for confounders. RESULTS: Of the 214 patients, the mean age was 53 years with 35% being female and 76% being Caucasian. Hepatitis C (59%) and nonalcoholic fatty liver disease (22%) were the most frequent liver disease etiologies. On univariable analysis, MELD-Na [hazard ratio (HR) 1.12, 95% confidence interval (CI) 1.06-1.2, P < 0.001], TE (HR 1.04, 95% CI 1.03-1.06, P < 0.001) and composite MELD-Na-TE (HR 1.13, 95% CI 1.08-1.19, P < 0.001) were associated with death or transplant. On multivariable analysis, MELD-Na was no longer significant (HR 1.08, 95% CI 0.95-1.22, P = 0.27) after adjusting for TE (HR 1.05, 95% CI 1.03-1.07, P < 0.001) while composite MELD-Na-TE remained significant (HR 1.16, 95% CI 1.09-1.24, P < 0.001). Composite MELD-Na-TE predicts mortality or liver transplant with the highest C-statistic of 0.81. Age (HR 1.05, 95% CI 1-1.09, P = 0.04), TE (HR 1.04, 95% CI 1.03-1.06, P < 0.001) and composite MELD-Na-TE (HR 1.11, 95% CI 1.06-1.15, P < 0.001) were significantly associated with hepatic decompensation. CONCLUSION: Composite MELD-Na-TE better predicts liver transplantation, death, and hepatic decompensation compared to MELD/MELD-Na or TE alone.

Estimating global burden of COVID-19 with disability-adjusted life years and value of statistical life metrics.

BACKGROUND: Global burden of COVID-19 has not been well studied, disability-adjusted life years (DALYs) and value of statistical life (VSL) metrics were therefore proposed to quantify its impacts on health and economic loss globally. METHODS: The life expectancy, cases, and death numbers of COVID-19 until 30th April 2021 were retrieved from open data to derive the epidemiological profiles and DALYs (including years of life lost (YLL) and years loss due to disability (YLD)) by four periods. The VSL estimates were estimated by using hedonic wage method (HWM) and contingent valuation method (CVM). The estimate of willingness to pay using CVM was based on the meta-regression mixed model. Machine learning method was used for classification. RESULTS: Globally, DALYs (in thousands) due to COVID-19 was tallied as 31,930 from Period I to IV. YLL dominated over YLD. The estimates of VSL were US$591 billion and US$5135 billion based on HWM and CVM, respectively. The estimate of VSL increased from US$579 billion in Period I to US$2160 billion in Period IV using CVM. The higher the human development index (HDI), the higher the value of DALYs and VSL. However, there exits the disparity even at the same level of HDI. Machine learning analysis categorized eight patterns of global burden of COVID-19 with a large variation from US$0.001 billion to US$691.4 billion. CONCLUSION: Global burden of COVID-19 pandemic resulted in substantial health and value of life loss particularly in developed economies. Classifications of such health and economic loss is informative to early preparation of adequate resource to reduce impacts.

Review of epidemic, containment strategies, clinical management, and economic evaluation of COVID-19 pandemic.

The spread of the emerging pathogen, named as SARS-CoV-2, has led to an unprecedented COVID-19 pandemic since 1918 influenza pandemic. This review first sheds light on the similarity on global transmission, surges of pandemics, and the disparity of prevention between two pandemics. Such a brief comparison also provides an insight into the potential sequelae of COVID-19 based on the inference drawn from the fact that a cascade of successive influenza pandemic occurred after 1918 and also the previous experience on the epidemic of SARS and MERS occurring in 2003 and 2015, respectively. We then propose a systematic framework for elucidating emerging infectious disease (EID) such as COVID-19 with a panorama viewpoint from natural infection and disease process, public health interventions (non-pharmaceutical interventions (NPIs) and vaccine), clinical treatments and therapies (antivirals), until global aspects of health and economic loss, and economic evaluation of interventions with emphasis on mass vaccination. This review not only concisely delves for evidence-based scientific literatures from the origin of outbreak, the spread of SARS-CoV-2 to three surges of pandemic, and NPIs and vaccine uptakes but also provides a new insight into how to apply big data analytics to identify unprecedented discoveries through COVID-19 pandemic scenario embracing from biomedical to economic viewpoints.

Metabolically healthy obesity and risk of non-alcoholic fatty liver disease severity independent of visceral fat.

BACKGROUND AND AIM: Obesity and metabolic conditions may be related to non-alcoholic fatty liver disease (NAFLD). The study assesses the risk of NAFLD according to obesity and metabolic health status in a community-based population. METHODS: A total of 1651 subjects were recruited from the community. Individuals were categorized into four groups according to obesity status (defined as a body mass index ≥ 25 kg/m2 ) and metabolically healthy status: metabolically healthy nonobesity (MHNO), metabolically healthy obesity (MHO), metabolically unhealthy nonobesity (MUHNO), and metabolically unhealthy obesity (MUHO). NAFLD was diagnosed based on a semiquantitative ultrasonography measurement. Visceral fat was assessed through bioelectrical impedance analysis and is shown by tertile (T1, T2, and T3). A proportional odds model was used to assess the cumulative risk of NAFLD. RESULTS: The NAFLD prevalence was 26.7%, 62.8%, 47.0%, and 76.7% in subjects with MHNO, MHO, MUHNO, and MUHO, respectively (P < 0.0001). After adjustment for age, sex, exercise habits, alcohol consumption, cigarette smoking, and visceral fat, the odds ratios for more severe NAFLD were 2.44 (95% confidence interval [CI]: 1.64-3.65), 2.75 (95% CI: 1.91-3.94), and 7.41 (95% CI: 4.94-11.12) in the MHO, MUHNO, and MUHO groups, respectively, compared with the MHNO group. In addition, the odds ratios for more severe NAFLD significantly increased with the increase in visceral fat level (T2 vs T1: 3.83, 95% CI: 2.65-5.53; T3 vs T1: 9.17, 95% CI: 5.33-15.79). CONCLUSION: Both obesity and metabolically unhealthy status were associated with a higher risk of NAFLD independent of visceral fat level.

The utility of visceral fat level measured by bioelectrical impedance analysis in predicting metabolic syndrome.

BACKGROUND: Visceral adipose tissue dysfunction contributes to metabolic syndrome (MetS) and cardiovascular diseases. This study aims to investigate the association between visceral fat level measured by bioelectric impedance analysis (BIA) and MetS. MATERIAL AND METHODS: This cross-sectional study recruited Taiwanese volunteers aged ≥20 years between 2012 and 2014. Anthropometric measurements and plasma concentrations of glucose, insulin, and lipid profiles were collected after at least 8 h of fasting. Insulin resistance was calculated by the Homeostatic Model Assessment for Insulin Resistance (HOMA-IR). Visceral fat level (VFL, ranges: 1-59) and trunk fat percentage were measured through by the Body Composition Analyzer TANITA AB 140 Viscan. RESULTS: A total of 1086 volunteers (mean age = 44.2 ± 13.2 years) were enrolled. Multiple regression analyses showed that triglycerides levels and blood pressure increased while high-density lipoprotein-cholesterol decreased with VFL in both genders (p < 0.05). Increased HOMA-IR and VFL had a synergistic effect on MetS. Higher VFL was independently associated with MetS in both men (OR = 1.33, 95% CI: 1.19-1.48) and women (OR = 1.28, 95% CI: 1.17-1.39). CONCLUSIONS: Higher VFL is associated with MetS and its components. The portable BIA machine is easily applicable and useful tool to measure visceral fat in the community setting.

Measles immunity gaps in an era of high vaccination coverage: A serology study from Taiwan.

BACKGROUND: Routine vaccination for children drastically reduces measles cases. Nonetheless, the global resurgence of measles since 2018 highlights the need for evaluating vaccine-induced immunity in an era of high vaccination coverage, especially in international travelers. This study aims to identify high-risk persons via analyzing the impact of age and different vaccination schedules on seroprevalence of measles in a country with high vaccination coverage, attempting to provide suggestions regarding pre-travel measles vaccination in highly immunized countries. METHOD: We retrospectively collected serological results of measles from Taiwanese travelers during 2008-2017 and middle-aged subjects from community during 2007-2009. Participants were classified by age groups and cohort based on the national immunization program: cohort I (pre-mass vaccination), cohort II (suboptimal measles vaccination), and cohort III (2-dose MMR in childhood). The effects of age group on seropositivity was shown by odds ratio (OR) with 95% confidence interval (CI) in a logistic regression model. RESULTS: The overall measles seroprevalence was 74.5% (N = 1096, mean age = 31.7 ± 12.3 years), with adolescents having the lowest seropositivity (65.9%) and participants ≥50 years having the highest (89.4%). Seropositivity was significantly higher in cohort I (pre-mass vaccination) compared with the other 2 cohorts (P < 0.0001). The effect of aging on seropositivity was only significant in cohort II (OR = 1.84, 95% CI = 1.13-2.99, P = 0.014 for 30-39 years vs. 20-29 years). CONCLUSIONS: Waning immunity to measles in adolescents and young adults is a dominant issue in highly vaccinated cohorts. Enhancing pre-travel vaccination against measles can effectively fill the immunity gaps in highly immunized countries.

The Quantitative Skeletal Muscle Ultrasonography in Elderly with Dynapenia but not Sarcopenia Using Texture Analysis.

(1) Background: Dynapenia is defined as lower muscle strength alone. Only a few studies have investigated muscle quality in subjects with dynapenia. (2) Methods: The muscle quality, characterized by texture parameters of biceps brachii, triceps brachii, rectus femoris, and medial gastrocnemius muscles, were collected using ultrasonography. The risk of dynapenia was assessed by the multiple logistic regression model. (3) Results: There were a total of 36 participants (72.7 ± 5.8 yrs, 1:1 case-control matched). The values of texture parameters of autocorrelation (AUT) and sum variance (SVAR) in all four muscles were higher in the dynapenia group significantly (p < 0.05). AUT and SVAR had the significant associations for dynapenia in biceps (dds ratio[OR]:2.51, 95% CI = 1.25-5.07 for AUT; OR = 1.45, 95% CI:1.1-1.91 for SVAR), triceps (OR: 2.48, 95% CI = 1.60-5.3 for AUT; OR: 1.57, 95% CI = 1.08-2.28 for SVAR), and rectus femoris (OR: 1.58, 95% CI = 1.01-2.46 for AUT; OR: 1.2, 95% CI = 1.0-1.44 for SVAR). The areas under the receiver-operating curves of all texture parameters was between 0.84-0.94 after adjusting confounding factors. (4) Conclusions: The muscle quality in the dynapenia can be detected by the texture-feature quantitative ultrasound. Ultrasound measurement in the aging muscle might be promising, and further studies should validate its application in the context of dynapenia.

Child Growth Curves in High-Altitude Ladakh: Results from a Cohort Study.

High prevalence of child underweight and stunting in high-altitude areas has often been reported. However, most previous studies on this topic were cross-sectional. Another critical concern is that using the World Health Organization (WHO) Child Growth Standards to evaluate child growth in high-altitude areas may lead to overestimations of underweight and stunting. Our study aimed to evaluate the long-term growth pattern of children (3 to 18 years) above the altitude of 3500 m in Ladakh, India. The participants' body weight (BW), body height (BH), and body mass index (BMI) were measured annually according to the WHO Child Growth Standards for children under 5 years old and the WHO reference data for children aged 5 to 19 years. The generalized estimating equation (GEE) was used to estimate the means and z-scores of BW, BH, and BMI at different ages. A total of 401 children were enrolled from 2012 to 2018. Their mean z-scores of BW, BH, and BMI were -1.47, -1.44, and -0.85 in 2012 and increased to -0.74, -0.92, and -0.63 in 2018. This population's specific growth curve was also depicted, which generally fell below the 85th percentile of the WHO standards. This is the first cohort study about long-term child growth patterns in a high-altitude area. The detailed underlying mechanisms of our findings need future research on more representative data of high-altitude populations.

Fully automated lesion segmentation and visualization in automated whole breast ultrasound (ABUS) images.

BACKGROUND: The number of breast cancer patients has increased each year, and the demand for breast cancer detection has become quite large. There are many common breast cancer diagnostic tools. The latest automated whole breast ultrasound (ABUS) technology can obtain a complete breast tissue structure, which improves breast cancer detection technology. However, due to the large amount of ABUS image data, manual interpretation is time-consuming and labor-intensive. If there are lesions in multiple images, there may be some omissions. In addition, if further volume information or the three-dimensional shape of the lesion is needed for therapy, it is necessary to manually segment each lesion, which is inefficient for diagnosis. Therefore, automatic lesion segmentation for ABUS is an important issue for guiding therapy. METHODS: Due to the amount of speckle noise in an ultrasonic image and the low contrast of the lesion boundary, it is quite difficult to automatically segment the lesion. To address the above challenges, this study proposes an automated lesion segmentation algorithm. The architecture of the proposed algorithm can be divided into four parts: (I) volume of interest selection, (II) preprocessing, (III) segmentation, and (IV) visualization. A volume of interest (VOI) is automatically selected first via a three-dimensional level-set, and then the method uses anisotropic diffusion to address the speckled noise and intensity inhomogeneity correction to eliminate shadowing artifacts before the adaptive distance regularization level set method (DRLSE) conducts segmentation. Finally, the two-dimensional segmented images are reconstructed for visualization in the three-dimensional space. RESULTS: The ground truth is delineated by two radiologists with more than 10 years of experience in breast sonography. In this study, three performance assessments are carried out to evaluate the effectiveness of the proposed algorithm. The first assessment is the similarity measurement. The second assessment is the comparison of the results of the proposed algorithm and the Chan-Vese level set method. The third assessment is the volume estimation of phantom cases. In this study, in the 2D validation of the first assessment, the area Dice similarity coefficients of the real cases named cases A, real cases B and phantoms are 0.84±0.02, 0.86±0.03 and 0.92±0.02, respectively. The overlap fraction (OF) and overlap value (OV) of the real cases A are 0.84±0.06 and 0.78±0.04, real case B are 0.91±0.04 and 0.82±0.05, respectively. The overlap fraction (OF) and overlap value (OV) of the phantoms are 0.95±0.02 and 0.92±0.03, respectively. In the 3D validation, the volume Dice similarity coefficients of the real cases A, real cases B and phantoms are 0.85±0.02, 0.89±0.04 and 0.94±0.02, respectively. The overlap fraction (OF) and overlap value (OV) of the real cases A are 0.82±0.06 and 0.79±0.04, real cases B are 0.92±0.04 and 0.85±0.07, respectively. The overlap fraction (OF) and overlap value (OV) of the phantoms are 0.95±0.01 and 0.93±0.04, respectively. Therefore, the proposed algorithm is highly reliable in most cases. In the second assessment, compared with Chan-Vese level set method, the Dice of the proposed algorithm in real cases A, real cases B and phantoms are 0.84±0.02, 0.86±0.03 and 0.92±0.02, respectively. The Dice of Chan-Vese level set in real cases A, real cases B and phantoms are 0.65±0.23, 0.69±0.14 and 0.76±0.14, respectively. The Dice performance of different methods on segmentation shows a highly significant impact (P<0.01). The results show that the proposed algorithm is more accurate than Chan-Vese level set method. In the third assessment, the Spearman's correlation coefficient between the segmented volumes and the corresponding ground truth volumes is ρ=0.929 (P=0.01). CONCLUSIONS: In summary, the proposed method can batch process ABUS images, segment lesions, calculate their volumes and visualize lesions to facilitate observation by radiologists and physicians.

Metabolic profiles and fibrosis of nonalcoholic fatty liver disease in the elderly: A community-based study.

BACKGROUND AND AIMS: There are sparse data on the epidemiology of fatty liver in the elderly Asian population. We evaluated for predictors of fatty liver and high risk of advanced fibrosis in a community-based elderly population. METHODS: A total of 1091 participants (mean age was 74.6 ± 6.3 years) were enrolled from 2017 to 2018. Subjects with age younger than 65 years, alcoholism, and history of hepatitis B and hepatitis C were excluded. Fatty liver was diagnosed with abdominal ultrasound by using ultrasonographic fatty liver indicator, a semi-quantitative measurement grading the severity (normal, mild, and moderate-to-severe). Fibrosis-4 score was used for the prediction of the high risk of advanced fibrosis. Using a multivariable logistic regression model, we identified predictors of fatty liver and high risk of advanced fibrosis. RESULTS: In this ambulatory elderly Asian population, the prevalence of fatty liver is 41.9% and of high risk of advanced fibrosis is 12.3%. The prevalence of fatty liver decreases (44.5% to 31.8%), and the high risk of advanced fibrosis increases (3.9% to 27.0%) with aging significantly (both P < 0.05). Metabolic syndrome is a risk factor for fatty liver (odds ratio [OR], 3.19; 95% CI, 2.41-4.22) but not for high risk of advanced fibrosis (OR, 0.67; 95% CI, 0.41-1.08). Hypertriglyceridemia decreases the risk for high risk of advanced fibrosis (OR, 0.53; 95% CI, 0.33-0.87). CONCLUSION: Fatty liver is prevalent in the ambulatory elderly Asian population, affecting over 40% of this population. Age is a risk factor for high risk of advanced fibrosis, with the disease likely progressing from a steatotic to a fibrotic picture with age.

Association between metabolic syndrome and limb muscle quantity and quality in older adults: a pilot ultrasound study.

PURPOSE: Limited imaging studies have investigated whether limb muscle quantity and quality change after metabolic syndrome (MetS) development. This pilot study examined MetS influence on limb muscle characteristics in older adults. METHODS: Participants were recruited from annual health examinations; their right biceps brachii, triceps brachii, rectus femoris, and gastrocnemius muscles were measured by ultrasound. Anthropometric parameters, blood biochemistry, and physical performance (handgrip strength and gait speed) were also examined. RESULTS: Overall, 129 participants were enrolled, including 26 with MetS. Although handgrip strength was lower in MetS patients, there were no significant between-group differences considering thickness and mean echogenicity of the four muscles. Handgrip strength was positively correlated with the thickness of biceps brachii, triceps brachii, and rectus femoris but was negatively associated with their echogenicity. On multivariate analysis, triceps muscle echogenicity was trivially associated (odds ratio, 0.93; 95% confidence interval, 0.86-0.99) with MetS, possibly due to multicollinearity with grip strength. CONCLUSION: No significant difference was recognized in limb muscle thickness and echogenicity in the geriatric population with MetS compared with healthy controls by ultrasound imaging. However, the finding might be caused by the small sample size of our participants. Future large-scale studies should explore the influence of separated risk factors of MetS on limb muscle echotexture and examine whether manifestation differs in different age populations.

Heterogeneity in Cost-Effectiveness Analysis of Vaccination for Mild and Moderate Alzheimer's Disease.

BACKGROUND: Immunotherapy for Alzheimer's disease(AD) has gained momentum in recent years. One of the concerns over its application pertains to Cost-Effectiveness Analysis (CEA) from population average and specific subgroup differences, as such a therapy is imperative for health decisionmakers to allocate limited resources. However, this sort of CEA model considering heterogeneous population with risk factors adjustment has been rarely addressed. METHODS: We aimed to show the heterogeneity of CEA in immunotherapy for AD in comparison with the comparator without intervention. Economic evaluation was performed via incremental Cost- Effectiveness Ratio (ICER) and Cost-Effectiveness Acceptability Curve (CEAC) in terms of the Quality- Adjusted Life Years (QALY). First, population-average CEA was performed with and without adjustment for age and gender. Secondly, sub-group CEA was performed with the stratification of gender and age based on Markov process. RESULTS: Given the threshold of $20,000 of willingness to pay, the results of ICER without and with adjustment for age and gender revealed similar results ($14,691/QALY and $17,604/QALY). The subgroup ICER results by different age groups and gender showed substantial differences. The CEAC showed that the probability of being cost-effective was only 48.8%-53.3% in terms of QALY at population level but varied from 83.5% in women aged 50-64 years, following women aged 65-74 years and decreased to 0.2% in men≥ 75 years. CONCLUSION: There were considerable heterogeneities observed in the CEA of vaccination for AD. As with the development of personalized medicine, the CEA results assessed by health decision-maker should not only be considered by population-average level but also specific sub-group levels.