Factors Contributing to Non-Concordance Between End-of-Life Care and Advance Care Planning.

CONTEXT: Despite making do-not-resuscitate or comfort care decisions during advance care planning, terminally ill patients sometimes receive life-sustaining treatments as they approach end of life. OBJECTIVES: To examine factors contributing to nonconcordance between end-of-life care and advance care planning. METHODS: In this longitudinal retrospective cohort study, terminally ill patients with a life expectancy shorter than six months, who had previously expressed a preference for do-not-resuscitate or comfort care, were followed up after palliative shared care intervention. An instrument with eight items contributing to non-concordant care, developed through literature review and experts' consensus, was employed. An expert panel reviewed electronic medical records to determine factors associated with non-concordant care for each patient. Statistical analysis, including descriptive statistics and the chi-square test, examines demographic characteristics, and associations. RESULTS: Among the enrolled 7871 patients, 97 (1.2%) received non-concordant care. The most prevalent factor was "families being too distressed about the patient's deteriorating condition and therefore being unable to let go" (84.5%) followed by "limited understanding of medical interventions among patients and surrogates" (38.1%), and "lack of patient participation in the decision-making process" (25.8%). CONCLUSIONS: This study reveals that factors related to relational autonomy, emotional support, and health literacy may contribute to non-concordance between advance care planning and end-of-life care. In the future, developing an advance care planning model emphasizes respecting relational autonomy, providing emotional support, and enhancing health literacy could help patients receiving a goal concordant and holistic end-of-life care.

Improved Symptom Change Enhances Quality of Dying in Patients With Advanced Cancer: An East Asian Cross-Cultural Study.

BACKGROUND: Symptom burdens tend to increase for patients with cancer and their families over the disease trajectory. There is still a lack of evidence on the associations between symptom changes and the quality of dying and death. In this context, this research investigated how symptom changes influence the quality of dying and death. METHODS: This international prospective cohort study (the East Asian Collaborative Cross-Cultural Study to Elucidate the Dying Process (EASED), 2017-2019) included 22, 11, and 4 palliative care units across Japan, South Korea, and Taiwan. Eligible participants were adults (Japan and Korea, ≥18 years; Taiwan, ≥20 years) with locally advanced or metastatic cancer. Physical and psychological symptoms were assessed by physicians upon admission and within 3 days before death. Death quality was assessed using the Good Death Scale (GDS), developed in Taiwan. Univariate and multivariate regression analyses were used to identify correlations between symptom severity changes and GDS scores. RESULTS: Among 998 patients (542 [54.3%] men and 456 [45.7%] women; mean [SD] age = 70.1 [± 12.5] years), persistent dyspnea was associated with lower GDS scores when compared to stable dyspnea (ß = -0.427, 95% CI = -0.783 to -0.071). Worsened (-1.381, -1.932 to -0.831) and persistent (-1.680, -2.701 to -0.659) delirium were also significantly associated with lower GDS scores. CONCLUSIONS: Better quality of dying and death was associated with improved symptom control, especially for dyspnea and delirium. Integrating an outcome measurement for the quality of dying and death is important in the management of symptoms across the disease trajectory in a goal-concordant manner.

Nanocurcumin Reduces High Glucose and Particulate Matter-Induced Endothelial Inflammation: Mitochondrial Function and Involvement of miR-221/222.

Purpose: Particulate matter (PM) 2.5, harmful air pollutants, and diabetes are associated with high morbidity and mortality from cardiovascular disease (CVD). However, the molecular mechanisms underlying the combined effects of PM and diabetes on CVD remain unclear. Methods: Endothelial cells (ECs) treated with high glucose (HG) and PM mimic hyperglycemia and air pollutant exposure in CVD. Endothelial inflammation was evaluated by Western blot and immunofluorescence of ICAM-1 expression and monocyte adhesion. The mechanisms underlying endothelial inflammation were elucidated through MitoSOX Red analysis, JC-1 staining, MitoTracker analysis, and Western blot analysis of mitochondrial fission-related, autophagy-related, and mitophagy-related proteins. Furthermore. nanocurcumin (NCur) pretreatment was used to test if it has a protective effect. Results: ECs under co-exposure to HG and PM increased ICAM-1 expression and monocyte adhesion, whereas NCur pretreatment attenuated these changes and improved endothelial inflammation. PM exposure increased mitochondrial ROS levels, worsened mitochondrial membrane potential, promoted mitochondrial fission, induced mitophagy, and aggravated inflammation in HG-treated ECs, while NCur reversed these changes. Also, HG and PM-induced endothelial inflammation is through the JNK signaling pathway and miR-221/222 specifically targeting ICAM-1 and BNIP3. PM exposure also aggravated mitochondrial ROS levels, mitochondrial fission, mitophagy, and endothelial inflammation in STZ-induced hyperglycemic mice, whereas NCur attenuated these changes. Conclusion: This study elucidated the mechanisms underlying HG and PM-induced endothelial inflammation in vitro and in vivo. HG and PM treatment increased mitochondrial ROS, mitochondrial fission, and mitophagy in ECs, whereas NCur reversed these conditions. In addition, miR-221/222 plays a role in the amelioration of endothelial inflammation through targeting Bnip3 and ICAM-1, and NCur pretreatment can modulate miR-221/222 levels. Therefore, NCur may be a promising approach to intervene in diabetes and air pollution-induced CVD.

[Utilization of Hospice Resources in Adult Intensive Care Units: A Comparison Between Users and Non-Users].

BACKGROUND: The application of palliative care is limited and challenging in intensive care units (ICUs) because of complex factors such as time constraints and unpredictable disease progression. Although research results and international consensus stress the early use of palliative care, utilization remains low, resulting in increased risks of ineffective medical care and poor quality of death. Improving this situation requires a comprehensive understanding of the palliative condition in ICUs. PURPOSE: This study was designed to investigate the utilization of hospice resources in adult ICUs and to compare this utilization between users and non-users. METHODS: This retrospective correlation study recruited cases from the adult ICU database of a medical center in northern Taiwan between June and July 2022. Descriptive statistics, independent t-test and chi-square were used to analyze the data. RESULTS: A total of 1,181 records were analyzed, including 458 (38.8%) females and 723 (61.2%) males. Two hundred and seventeen cases (18.4%) used hospice resources. Although 124 (10.4%) of the 1181 cases were identified as "in urgent need of hospice resources" (i.e., died within 30 days of ICU admission), 25 (20.2%) did not use these resources. Significant differences between the urgent-need cases who did and did not use hospice resources were found in terms of age, disease type, degree of frailty, cardiac arrest, infection, state of consciousness, intubation and tracheostomy status, inotropic and vasopressor medication, renal replacement, ECMO placement, delirium, and Acute Physiology and Chronic Health Evaluation III and Sequential Organ Failure Assessment Scores. CONCLUSIONS / IMPLICATIONS FOR PRACTICE: The roughly 20% of ICU patients in urgent needs of palliative care who did not utilize palliative care resources highlight the needs for continued discussion to better assist patients on palliative care decision-making. The findings show multifaceted differences between those who did and did not access palliative care. Future studies should design and test strategies to facilitate the identification of palliative care needs and ensure the effective allocation of palliative care resources in ICUs.

Shared decision making with Oncologists and Palliative care specialists (SOP) model help advanced pancreatic cancer patients reaching goal concordant care: A prospective cohort study.

BACKGROUND: Pancreatic cancer is often diagnosed at a late stage with a poor prognosis due to insidious symptoms and lack of evidence-based screening in general population. Palliative care's acceptance in Asian cultures is hindered by misconceptions and ineffective communication about management that improve quality of life other than cancer directed treatment. Our study aimed to determine the effect of the Shared decision-making with Oncologists and Palliative care specialists (SOP) model developed from the traditional shared decision-making (SDM) model on the palliative care acceptance rate and medical resource utilization. METHODS: This is a prospective cohort study implementing the SOP model at the National Taiwan University Hospital from January 2018 to December 2019 for patients with advanced pancreatic cancer. Medical resource utilization was defined and recorded as the rate of hospitalization, emergency room (ER), and intensive care unit admissions. We compared the results between two groups: patients who received the SOP model in 2019 and patients who did not receive it in 2018. RESULTS: 137 patients with advanced pancreatic cancer were included in our study. The result showed that the acceptance rate of palliative care significantly increased from 50% to 78.69% after the SOP model (p = 0.01). The hospitalization rate did not show a significant difference between 2018 (93.42%, 95% CI: 0.88-0.99) and 2019 (93.44%, 95% CI: 0.87-1.00). 83.61% (95% CI: 0.74-0.93) of our patients in 2019 had at least one ER visit; the rate was 81.5% (95% CI: 0.73-0.91) in 2018 (p = 0.28). The percentage of patients admitted to the ICU increased from 3.95% in 2018 to 8.2% (95% CI: -0.05-0.08) in 2019 (95% CI: 0.11-0.15) (p = 0.00). The hospitalization and ER visit showed no statistically difference between 2 years. CONCLUSIONS: The modified SOP model markedly augmented palliative care's acceptance of patients with advanced pancreatic cancer. Adoption of the SOP model would provide these patients a more proactive and systematic approach to deliver needed healthcare.

Evaluating the Potential of Machine Learning and Wearable Devices in End-of-Life Care in Predicting 7-Day Death Events Among Patients With Terminal Cancer: Cohort Study.

BACKGROUND: An accurate prediction of mortality in end-of-life care is crucial but presents challenges. Existing prognostic tools demonstrate moderate performance in predicting survival across various time frames, primarily in in-hospital settings and single-time evaluations. However, these tools may fail to capture the individualized and diverse trajectories of patients. Limited evidence exists regarding the use of artificial intelligence (AI) and wearable devices, specifically among patients with cancer at the end of life. OBJECTIVE: This study aimed to investigate the potential of using wearable devices and AI to predict death events among patients with cancer at the end of life. Our hypothesis was that continuous monitoring through smartwatches can offer valuable insights into the progression of patients at the end of life and enable the prediction of changes in their condition, which could ultimately enhance personalized care, particularly in outpatient or home care settings. METHODS: This prospective study was conducted at the National Taiwan University Hospital. Patients diagnosed with cancer and receiving end-of-life care were invited to enroll in wards, outpatient clinics, and home-based care settings. Each participant was given a smartwatch to collect physiological data, including steps taken, heart rate, sleep time, and blood oxygen saturation. Clinical assessments were conducted weekly. The participants were followed until the end of life or up to 52 weeks. With these input features, we evaluated the prediction performance of several machine learning-based classifiers and a deep neural network in 7-day death events. We used area under the receiver operating characteristic curve (AUROC), F1-score, accuracy, and specificity as evaluation metrics. A Shapley additive explanations value analysis was performed to further explore the models with good performance. RESULTS: From September 2021 to August 2022, overall, 1657 data points were collected from 40 patients with a median survival time of 34 days, with the detection of 28 death events. Among the proposed models, extreme gradient boost (XGBoost) yielded the best result, with an AUROC of 96%, F1-score of 78.5%, accuracy of 93%, and specificity of 97% on the testing set. The Shapley additive explanations value analysis identified the average heart rate as the most important feature. Other important features included steps taken, appetite, urination status, and clinical care phase. CONCLUSIONS: We demonstrated the successful prediction of patient deaths within the next 7 days using a combination of wearable devices and AI. Our findings highlight the potential of integrating AI and wearable technology into clinical end-of-life care, offering valuable insights and supporting clinical decision-making for personalized patient care. It is important to acknowledge that our study was conducted in a relatively small cohort; thus, further research is needed to validate our approach and assess its impact on clinical care. TRIAL REGISTRATION: ClinicalTrials.gov NCT05054907; https://classic.clinicaltrials.gov/ct2/show/NCT05054907.

Cross-Sectional Study: New Approach for Diagnostic Identification of Non-Robust Older Adult.

SCOPE: The aging biomarkers are alternatives and none of them can act as a strong predictor of frailty during the progression of aging. Several studies reveal the relationship between metabolites and frailty or gut microbiota and frailty. However, the connection between metabolites and gut microbiota in non-robust older adults has not been discussed yet. The study aims to combine the findings of serum metabolites and gut microbiota in non-robust subjects as a possible diagnostic biomarker. METHODS AND RESULTS: Frailty-related assessments are conducted to ensure the discrimination of non-robustness. The serum and fecal are collected for serum metabolomics and gut microbiota analysis. Robust and non-robust subjects show very different gut microbial compositions. Among the gut microbial differences, Escherichia/Shigella and its higher taxonomic ranks are found to have the most discriminative abundance among compared groups. More importantly, the abundance of Escherichia/Shigella is found to be positively correlated (p < 0.05) with the level of discriminant metabolites, such as serum oxoglutarate, glutamic acid, and 1-methyladenosine. CONCLUSION: These results indicate the obvious interrelation between gut microbiota and serum metabolites in non-robust older adults. Besides, the findings suggest that Escherichia/Shigella can be a potential biomarker candidate for robustness sub-phenotypic identification.

Conceptualizing Health Communication and its Impact on Patient Outcomes in Oncology Outpatient Settings: A Mixed-Methods Study.

OBJECTIVES: Informed by the dual process theory of supportive message, the aim of this study is to systematically describe symptom communication, including its relationship with patient outcomes. DATA SOURCES: This is a mixed-methods study with an exploratory design. By examining symptom communication that occurred in oncology and hospice outpatient clinics, the qualitative phase employed conversation analysis to validate a typology of interaction patterns. The subsequent quantitative phase examined the relationship between interaction patterns and patient outcomes. CONCLUSION: A total of 52 cancer patients' outpatient communications with their health care providers were included in the analysis. Ten unique interaction patterns were identified and defined. Among the 10 interaction patterns, some patterns are significantly associated with critical patient outcomes, including satisfaction, health communication self-efficacy, and symptom agreement between patients and their health care providers. This study represents one of the few mixed-methods studies to examine the patterns of real outpatient symptom communications and link them to concrete patient outcomes. IMPLICATIONS FOR NURSING PRACTICE: Our results present various interaction patterns that are commonly used in medical encounters and suggest that using some patterns affects critical patient outcomes.

Natural language processing and network analysis in patients withdrawing from life-sustaining treatments: a retrospective cohort study.

BACKGROUND: Providing palliative care to patients who withdraw from life-sustaining treatments is crucial; however, delays or the absence of such services are prevalent. This study used natural language processing and network analysis to identify the role of medications as early palliative care referral triggers. METHODS: We conducted a retrospective observational study of 119 adult patients receiving specialized palliative care after endotracheal tube withdrawal in intensive care units of a Taiwan-based medical center between July 2016 and June 2018. Patients were categorized into early integration and late referral groups based on the median survival time. Using natural language processing, we analyzed free texts from electronic health records. The Palliative trigger index was also calculated for comparison, and network analysis was performed to determine the co-occurrence of terms between the two groups. RESULTS: Broad-spectrum antibiotics, antifungal agents, diuretics, and opioids had high Palliative trigger index. The most common co-occurrences in the early integration group were micafungin and voriconazole (co-correlation = 0.75). However, in the late referral group, piperacillin and penicillin were the most common co-occurrences (co-correlation = 0.843). CONCLUSION: Treatments for severe infections, chronic illnesses, and analgesics are possible triggers for specialized palliative care consultations. The Palliative trigger index and network analysis indicated the need for palliative care in patients withdrawing from life-sustaining treatments. This study recommends establishing a therapeutic control system based on computerized order entry and integrating it into a shared-decision model.

Pretravel preparation and factors associated with willingness to seek pretravel consultation among Taiwanese travelers.

BACKGROUND: Although globalization promotes economic development, cross-border infectious disease transmission is still a serious threat to health. Taiwan is geographically close to Southeast and South Asia, but the needs and expectations of Taiwanese travelers with regard to travel medicine are still largely unknown. This study aimed to clarify the pretravel preparations, needs, willingness to seek pretravel consultation, and factors associated with willingness, in order to provide valuable information for improvement of healthcare service. METHODS: Data were collected with anonymous structured questionnaires distributed to 477 visitors who tried to get travel health information from New Southbound Health Center between June and November 2019. A multivariate stepwise logistic regression analysis was applied to identify factors associated with the visitors' willingness to seek pretravel consultation. RESULTS: A total of 304 questionnaires (64%) were collected. Eighty-three percent of the respondents were willing to seek pretravel consultation. A higher level of education (odds ratio 3.6 [95% CI 1.58-8.22]), having a plan to obtain travel medical insurance (2.5 [1.18-5.28]), concern with gastrointestinal diseases (2.0 [1.04-3.94]), concern with mosquito-borne diseases (2.0 [2.07-3.95]), and concern with noncommunicable diseases (2.2 [1.02-4.96]) were independent factors associated with willingness to seek pretravel consultation.: CONCLUSIONS: We found that most of the travelers were willing to seek pretravel consultation. Our study highlighted the need to enhance awareness about travel-related illness among these travelers. Strategies should be tailored according to these findings to help prevent epidemics and improve healthcare service in the future.

Double Nutri (Liposomal Encapsulation) Enhances Bioavailability of Vitamin C and Extends Its Half-Life in Plasma.

Vitamin C is an important antioxidant in the human body that plays a role in many body functions. Liposomal encapsulation is a technology commonly used in food processing and medicine. This study determines whether Double Nutri (liposomal encapsulation) increases the absorption rate for vitamin C supplementation. Subjects enrolled in this study took vitamin C without liposome; then, 14 d washout was given with liposomal process A vitamin C. After 14 d washout, the subjects took liposomal process B vitamin C (Double Nutri) was given. After taking the test sample, the vitamin C concentration in venous blood was measured from the baseline (0 h), 0.5, 1, 2, 3, 4, and 8 h. Eleven healthy subjects were recruited for three tests. The vitamin C concentration for liposomal process B vitamin C (Double Nutri) group is higher (7.26±3.52, p<0.01) than that for the liposomal process A vitamin C group (6.41±3.80, p<0.05) and for vitamin C without liposome (2.21±4.07). This shows that Double Nutri has better bioavailability and can last up in the body to 8 hours. In addition, this study shows that Double Nutri increases the half-life of vitamin C in plasma and has higher bioavailability.

Upregulation of cluster of differentiation 36 mRNA expression in peripheral blood mononuclear cells correlates with frailty severity in older adults.

BACKGROUND: Aging-associated frailty has been connected to low-grade chronic inflammation and also to progressive monocytic activation. CD36 (cluster of differentiation 36, platelet glycoprotein 4 or fatty acid translocase) has been shown to induce the expression of pro-inflammatory cytokines and to activate macrophage connected inflammation. This study aims to examine whether the expression of CD36 is up-regulated among frail older adults. METHODS: The demographic data, Fried Frailty Index, metabolic and inflammatory parameters of our observational study were obtained from the comprehensive geriatric assessment programme of a hospital-based outpatient department. The mRNA isolated from the peripheral blood mononuclear cells (PBMCs) was used to determine the levels of CD36, tumour necrosis factor alpha (TNF-α), and CXC chemokine ligand-10 (CXCL10) mRNAs with real-time polymerase chain reaction (PCR). RESULTS: A total of 189 older adults (58% female) were included in the analysis, and the mean age was 77.19 ± 6.12 years. The numbers of participants who fitted in the groups of robust, pre-frail, and frail were 46, 106, and 37, respectively. Our data showed that CD36 mRNA expression levels in PBMCs were the highest in the frail group (1.25 ± 0.53 in robust, 2.13 ± 1.02 in pre-frail, and 2.78 ± 1.15 in frail group, P < 0.001). Further regression analyses revealed that CD36 mRNA levels were positively correlated with both the pre-frail and frailty status in the univariate analysis (both P's < 0.001). What might suggest something worthy of further investigation is that, with potential confounders being adjusted for, CD36 remained as an independent factor that positively correlated with the pre-frail and frailty status in the multivariable analysis (P < 0.001). CONCLUSIONS: CD36 mRNA levels in PBMCs in robust older adults are significantly lower than in pre-frail and in frail. Our findings suggest that CD36 mRNA levels in PBMCs may be considered a potential biomarker for frail severity.

The potential prolonged effect at one-year follow-up after 18-month randomized controlled trial of a 90 g/day low-carbohydrate diet in patients with type 2 diabetes.

OBJECTIVES: To evaluate the effect at a one-year follow-up after an 18-month randomized controlled trial (RCT) of 90 gm/day low-carbohydrate diet (LCD) in type 2 diabetes. RESEARCH DESIGN AND METHODS: Eighty-five poorly controlled type 2 diabetic patients with an initial HbA1c ≥ 7.5% who have completed an 18-month randomized controlled trial (RCT) on 90 g/day low-carbohydrate diet (LCD) were recruited and followed for one year. A three-day weighted food record, relevant laboratory tests, and medication effect score (MES) were obtained at the end of the previous trial and one year after for a total of 30 months period on specific diet. RESULTS: 71 (83.5%) patients completed the study, 35 were in TDD group and 36 were in LCD group. Although the mean of percentage changes in daily carbohydrate intake was significantly lower for those in TDD group than those in LCD group (30.51 ± 11.06% vs. 55.16 ± 21.79%, p = 0.0455) in the period between 18 months and 30 months, patients in LCD group consumed significantly less amount of daily carbohydrate than patients in TDD group (131.8 ± 53.9 g vs. 195.1 ± 50.2 g, p < 0.001). The serum HbA1C, two-hour serum glucose, serum alanine aminotransferase (ALT), and MES were also significantly lower for the LCD group patients than those in the TDD group (p = 0.017, p < 0.001, p = 0.017, and p = 0.008 respectively). The mean of percentage changes of HbA1C, fasting serum glucose, 2 h serum glucose, as well as serum cholesterol, triglyceride, low-density lipoprotein, ALT, creatinine, and urine microalbumin, however, were not significantly different between the two groups (p > 0.05). CONCLUSIONS: The one-year follow-up for patients on 90 g/d LCD showed potential prolonged and better outcome on glycaemic control, liver function and MES than those on TDD for poorly controlled diabetic patients.

Combined exposure to fine particulate matter and high glucose aggravates endothelial damage by increasing inflammation and mitophagy: the involvement of vitamin D.

BACKGROUND: Cardiovascular diseases (CVDs) are related to particulate matter (PM2.5) exposure. Researchers have not clearly determined whether hyperglycemia, a hallmark of diabetes, exacerbates PM2.5-induced endothelial damage. Thus, this study aimed to investigate the combined effects of PM2.5 and high glucose on endothelial damage. RESULTS: Here, we treated human umbilical vein endothelial cells (HUVECs) with 30 mM high glucose and 50 µg/mL PM (HG + PM) to simulate endothelial cells exposed to hyperglycemia and air pollution. First, we showed that HUVECs exposed to PM under high glucose conditions exhibited significant increases in cell damage and apoptosis compared with HUVECs exposed to PM or HG alone. In addition, PM significantly increased the production of reactive oxygen species (ROS) in HUVECs and mitochondria treated with HG and decreased the expression of superoxide dismutase 1 (SOD1), a free radical scavenging enzyme. The coexposure group exhibited significantly increased ROS production in cells and mitochondria, a lower mitochondrial membrane potential, and increased levels of the autophagy-related proteins p62, microtubule-associated protein 1 light chain 3ß (LC3B), and mitophagy-related protein BCL2 interacting protein 3 (Bnip3). Moreover, autophagosome-like structures were observed in the HG + PM group using transmission electron microscopy. The expression of intercellular adhesion molecule-1 (ICAM-1) and vascular cell adhesion molecule-1 (VCAM-1) were also increased through the JNK/p38 signaling pathway in the HG + PM group. As a ROS scavenger, vitamin D treatment effectively protected cells under HG and PM conditions by increasing cell viability, reducing mitochondrial ROS production, and suppressing the formation of mitophagy and inflammation. Furthermore, diabetes was induced in mice by administering streptozotocin (STZ). Mice were treated with PM by intratracheal injection. Vitamin D effectively alleviated oxidative stress, mitophagy, and inflammation in the aortas of mice treated with STZ and PM. CONCLUSION: Taken together, simultaneous exposure to PM and high glucose exerts significant harmful effects on endothelial cells by inducing ROS production, mitophagy, and inflammation, while vitamin D reverses these effects.

Identification of traumatic acid as a potential plasma biomarker for sarcopenia using a metabolomics-based approach.

BACKGROUND: The pathogenesis of sarcopenia is complex and has not been well explored. Identifying biomarkers is a promising strategy for exploring the mechanism of sarcopenia. This study aimed to identify potential biomarkers of sarcopenia through a metabolomic analysis of plasma metabolites in elderly subjects (≥65 years of age) vs. younger adults (<65 years of age). METHODS: Of the 168 candidates in the Comprehensive Geriatric Assessment and Frailty Study of Elderly Outpatients, 24 elderly subjects (≥65 years of age) with sarcopenia were age and sex matched with 24 elderly subjects without sarcopenia. In addition, 24 younger adults were recruited for comparison. Muscle strength, gait speed, and metabolic and inflammatory parameters, including plasma tumour necrosis factor-α, C-reactive protein, irisin, and growth differentiation factor 15 (GDF-15) levels were assessed. Metabolomic analysis was carried out using the plasma metabolites. RESULTS: Seventy-two participants were enrolled, including 10 (41.6%) men and 14 (58.3%) women in both groups of elderly subjects. The median ages of elderly subjects with and without sarcopenia were 82 (range: 67-88) and 81.5 (range: 67-87) years, respectively. Among the 242 plasma metabolic peaks analysed among these three groups, traumatic acid was considered as a sarcopenia-related metabolite. The plasma traumatic acid signal intensity level was significantly higher in elderly subjects with sarcopenia than in elderly subjects without sarcopenia [591.5 (inter-quartile range, IQR: 491.5-664.5) vs. 430.0 (IQR: 261.0-599.5), P = 0.0063]. The plasma concentrations of traumatic acid were 15.8 (IQR: 11.5-21.7), 21.1 (IQR: 16.0-25.8), and 24.3 (IQR: 18.0-29.5) ppb in younger adults [age range: 23-37 years, 12 (50%) men], elderly subjects without sarcopenia, and elderly subjects with sarcopenia, respectively, thereby depicting an increasing tendency (P for trend = 0.034). This pattern was similar to that of GDF-15, a recognized sarcopenia-related factor. Plasma traumatic acid concentrations were also positively correlated with the presence of hypertension (r = 0.25, P = 0.034), glucose AC (r = 0.34, P = 0.0035), creatinine (r = 0.40, P = 0.0006), and GDF-15 levels (r = 0.25, P = 0.0376), but negatively correlated with the Modification of Diet in Renal Disease-simplify-glomerular filtration rate (r = -0.50, P < 0.0001). Similarly, plasma GDF-15 concentrations were associated with these factors. CONCLUSIONS: Traumatic acid might represent a potential plasma biomarker of sarcopenia. However, further studies are needed to validate the results and investigate the underlying mechanisms.

Telehealth-Based Family Conferences with Implementation of Shared Decision Making Concepts and Humanistic Communication Approach: A Mixed-Methods Prospective Cohort Study.

Smartphone-enabled, telehealth-based family conferences represent an attractive and safe alternative to deliver communication during the COVID-19 pandemic. However, some may fear that the therapeutic relationship might be filtered due to a lack of direct human contact. The study aims to explore whether shared decision-making model combining VALUE (Value family statements, Acknowledge emotions, Listen, Understand the patient as a person, Elicit questions) and PLACE (Prepare with intention, Listen intently and completely, Agree on what matters most, Connect with the patient's story, Explore emotional cues) framework can help physicians respond empathetically to emotional cues and foster human connectedness in a virtual context. Twenty-five virtual family conferences were conducted in a national medical center in Taiwan. The expression of verbal emotional distress was noted in 20% of patients and 20% of family members, while nonverbal distress was observed in 24% and 28%, respectively. On 10-point Likert scale, the satisfaction score was 8.7 ± 1.5 toward overall communication and 9.0 ± 1.1 on meeting the family's needs. Adopting SDM concepts with VALUE and PLACE approaches helps physicians foster connectedness in telehealth family conferences. The model has high participant satisfaction scores and may improve healthcare quality among the pandemic.

Shared Decision-Making Model for Adolescent Smoking Cessation: Pilot Cohort Study.

The control of tobacco use in adolescents is a critical public health issue that has long been studied, yet has received less attention than adult smoking cessation. Shared decision making (SDM) is a method that highlights a patient's preference-based medical decision. This study aimed to investigate the effects of a novel SDM-integrated cessation model and early intervention on the control of tobacco use in adolescents. The SDM-integrated model provides psychological support and motivational enhancement by involving the participants in making decisions and plans through the three-talk model of the SDM principle. The primary outcome shows positive effects by both increasing the cessation rate (a 25% point abstinence rate at 3 month follow up) and decreasing the number of cigarettes smoked per day (60% of the participants at 3 month follow up) among 20 senior high school participants (mean age, 17.5 years; 95% male). The results also show that the model can achieve the goal of SDM and optimal informed decision making, based on the positive SURE test and the satisfaction survey regarding the cessation model. The SDM cessation model can be further applied to different fields of adolescent substance cessation, yielding beneficial effects regarding reducing potential health hazards. The dissemination of the model may help more adolescent smokers to cease smoking worldwide.

Correlation between plasma ZAG and adiponectin in older adults: gender modification and frailty specificity.

BACKGROUND: Adiponectin and zinc alpha2-glycoprotein (ZAG) are associated with frailty. This study aims to further examine the association of adiponectin with ZAG. METHODS: Outpatients aged 65 years or older with chronic disease followed up in a hospital-based program were recruited for a comprehensive geriatric assessment. We excluded outpatients who were bedridden, residing in a nursing home, with expected life expectancy less than 6 months, or with severe hearing or communication impairment. Plasma ZAG and adiponectin levels were measured. Association between plasma ZAG and adiponectin levels was analyzed by univariate and multivariable linear regression analyses. RESULTS: A total of 189 older adults were enrolled (91 men and 98 women, mean age: 77.2 ± 6.1 years). Log-transformed plasma ZAG level was 1.82 ± 0.11 µg/mL, and it was significantly higher in men than that in women (1.85 ± 0.12 vs 1.79 ± 0.10 µg/mL, P = .0006). Log-transformed plasma adiponectin level was 1.00 ± 0.26 µg/mL, and there was no significant gender difference (P = .195). Overall, plasma ZAG level positively correlated with plasma adiponectin level in the multivariable linear regression analysis (P = .0085). The gender-specific significance, however, was less clear: this relationship was significant in men (P = .0049) but not in women (P = .2072). To be more specific by frailty phenotype components, plasma adiponectin was positively correlated with weight loss (P = .0454) and weakness (P = .0451). CONCLUSIONS: Both of ZAG and adiponectin may be potential frailty biomarkers. Plasma ZAG is an independent factor of plasma adiponectin, especially in older male adults.

The Expression of Toll-Like Receptor 4 mRNA in PBMCs Is Upregulated in Smokers and Decreases Upon Smoking Cessation.

Background: Studies have shown in vitro that cigarette smoke condensate stimulates monocytes to express toll-like receptor 4 (TLR4), tumor necrosis factor-α (TNF-α), and intercellular adhesion molecule 1 (ICAM-1), and enhances their adhesion to the endothelium. However, the same effects of cigarette smoking have not been explored in vivo. This study is to investigate the effect of cigarette smoking and smoking cessation on their mRNA expression in human peripheral blood mononuclear cells (PBMCs). Methods: A group of 97 smokers and 62 nonsmokers were enrolled. The RNA from PBMCs was assessed with real-time polymerase chain reaction (PCR) to determine the levels of ICAM-1, TNF-α, and TLR4. The same markers in PBMCs of 87 quitters were examined before and at one week, one month, and two months after smoking cessation. Results: Of the 97 smokers, 85 (87.6%) were males, and 30 (48.4%) of the nonsmokers were males (p < 0.0001). The mean (SD) age of the smokers was 43.24 (10.89) years, which was younger than 43.45 (11.41) years of nonsmokers (p < 0.0001). The incidence of cardiovascular diseases was 13.4% in smokers, which was higher than 1.6% in nonsmokers (p < 0.05). Both ICAM-1 and TNF-α mRNA levels in PBMCs were higher among the smokers (p < 0.0001). In addition, TLR4 mRNA levels in PBMCs were statistically elevated in the smokers (p < 0.0001) comparing with those in the nonsmokers. The mRNA levels of TLR4 and TNF-α in PBMCs decreased in those who had quit smoking for 2 months (p < 0.0001). Conclusions: ICAM-1, TNF-α, and TLR4 mRNA expression levels in PBMCs increased in smokers and decreased after being on a smoking cessation program for 2 months. This finding suggested that TLR4 expression may mediate the atherogenic inflammatory process induced by smoking.