Factors related to accurate clinicians' prediction of survival: an international multicenter study in East Asia.

PURPOSE: Recent guidelines for prognostic evaluation recommend clinicians' prediction of survival (CPS) for survival prediction in patients with advanced cancer. However, CPS is often inaccurate and optimistic. Studies on factors associated with overestimation or underestimation of CPS are limited. We aimed to investigate the factors associated with the overestimation and underestimation of CPS in patients with far-advanced cancer. METHODS: The current study was a secondary analysis of an international multicenter prospective cohort study, which enrolled newly admitted patients with advanced cancer in palliative care units (PCUs) in Japan, Korea, and Taiwan from 2017 to 2018. We obtained the temporal CPS at enrollment and performed multivariate logistic regression analysis to identify the factors associated with "underestimation (less than 33% of actual survival)" and "overestimation (more than 33% of actual survival)." RESULTS: A total of 2571 patients were assessed and admitted in 37 PCUs between January 2017 and September 2018. Older age (adjusted odds ratio [aOR] 1.01; 95% confidence interval [CI] 1.01-1.02; P < 0.01) and reduced oral intake (aOR 0.68; 95% CI 0.51-0.89; P < 0.01) were identified as significant factors associated with underestimation. Dyspnea (aOR 1.28; 95% CI 1.06-1.54; P = 0.01) and hyperactive delirium (aOR 1.34; 95% CI 1.05-1.72; P = 0.02) were identified as significant factors associated with overestimation. CONCLUSION: Older age was related to underestimation, while dyspnea and hyperactive delirium were related to overestimation of CPS for patients with weeks of survival. However, reduced oral intake was less likely to lead to underestimation.

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.

How different are accuracies of clinicians' prediction of survival by assessment methods?

BACKGROUND: No standardized method has been established for evaluating the accuracy of a clinicians' prediction of survival (CPS). Till now, no study has compared the accuracy of CPS according to the evaluation methods using the same dataset. We aimed to examine the accuracy of CPS by different statistical approaches in patients with far-advanced cancer. METHODS: The current study was a secondary analysis of an international multicenter prospective cohort study. Newly admitted patients with advanced cancer were enrolled in palliative care units (PCUs) in Japan, Korea, and Taiwan. We obtained the temporal CPS at enrollment. The patients were classified into groups of days (≤7 days) and weeks (≤30 days) based on CPS and actual survival (AS). We evaluated the accuracy of CPS by the distribution, area under the receiver operating characteristics curve (AUROCs), and an estimate ±33% of AS. RESULTS: A total of 2,571 patients were assessed and admitted in 37 PCUs between January 2017 and September 2018. As for the "days" category, the distribution of AS is larger than that of CPS, however, the results are reversed in the "weeks" category. The AUROCs showed over 80% discrimination for both the "days" and "weeks" categories. Accurate CPS within ±33% of AS was approximately 30% in both "days" and "weeks" categories. CONCLUSIONS: We showed a discrepancy of approximately 30-80% in the accuracy of CPS among three different analysis methods: distribution, AUROC, and AS comparison. Considering the low accuracy of AS comparisons, clinicians should provide a wide range of survival time. CPS was able to effectively discriminate and may be useful for risk stratification.

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.

Fat mass as an important predictor of persistent hypertension in patients with primary aldosteronism after adrenalectomy.

Aldosterone excess is present in obesity and is associated with involvement in the pathogenesis of obesity. We evaluate the impact of body obesity as measured by body composition monitor (BCM) on clinical outcomes in patients with unilateral primary aldosteronism (uPA) after adrenalectomy. The BCM device was used to assess body composition before and after adrenalectomy. We used fat mass (FM) and body mass index (BMI) to classify obesity and divided obesity into three groups: clinical overweight (BMI (kg/m2) ≥25); normal weight obesity (NWO, FM (%) ≥ 35 for women, >25 for men & BMI < 25); and no obesity (FM < 35 for women, <25 for men & BMI < 25). A total of 130 unilateral PA (uPA) patients received adrenalectomy, and 27 EH patients were identified; uPA patients with hypertension remission were found to have lower FM (p = 0.046), BMI (p < 0.001), and lower prevalence of overweight (p = 0.001). In the logistic regression model, patients with clinical overweight (OR = 2.9, p = 0.007), NWO (OR = 3.04, p = 0.041) and longer HTN duration (years, OR = 1.065, p = 0.013) were at the risk of persistent hypertension after adrenalectomy. Obesity status was strongly associated with persistent hypertension in uPA patients after adrenalectomy. However, patients in the NWO group also carried higher risk of persistent hypertension. Therefore, assessment of pre-obesity and overweight in uPA patients are extremely important, especially in those who have normal BMI.

Prediction Accuracy Between Terminally Ill Patients' Survival Length and the Estimations Made From Different Medical Staff, a Prospective Cohort Study.

Background: Previous reports suggested the clinical predictions of survival (CPS) and prognostic scores had similar accuracy in patients with days to weeks of life. Objective: We aimed to evaluate and compare the accuracy of CPS by attending physicians, residents, and nurses in an acute palliative care unit at a medical center. Methods: This was a 1-year prospective cohort study. Survival prediction was made within 3 days after patients' admission and re-evaluated every week until patients' discharge or death. Associated factors of accurate survival predictions were also explored by multivariate logistic regression. Results: A total of 179 inpatients were recruited and 115 of them were included in this analysis. The mean age of participants was 72.9 years and the average length of actual survival was 11.5 ± 12.0 days. For patients with survival within 30 days, the medical staff tended to overestimate their life span. The predictions made by physicians and nurses showed much closer to actual survival length through repeated estimations. Patients with metastatic cancer (odds ratio: OR 2.77, 95% CI 1.23-6.22) or cognitive impairment (OR 2.39, 95% CI 1.12-5.11) had higher associations with accurate CPS. Poor performance status of ECOG (OR 1.82, 95% CI 1.09-3.02) and dysphagia (OR 2.01, 95% CI 1.07-3.77) were significant predictors for accurate CPS in patients with the survival of less than 2 weeks. Conclusions: The accuracy of CPS between different medical staff did not reveal significant differences in the study. The importance of re-evaluation for patients' survival length in clinical practice is worthy of attention.

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.

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.

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.

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.

Age-dependent messenger RNA expression of toll-like receptor 4 and intercellular adhesion molecule-1 in peripheral blood mononuclear cells.

BACKGROUND: Inflammation plays an important role in the ageing process in which monocytes/macrophages are important players. Intercellular adhesion molecule-1 (ICAM-1), tumour necrosis factor-α (TNF-α) and Toll-like receptor 4 (TLR4) are well-known inflammatory markers. This study aimed to investigate the relationship between age and the expression and correlation of ICAM-1, TNF-α and TLR4 mRNA in peripheral blood mononuclear cells (PBMCs). METHODS: A total of 239 participants were recruited in a medical centre in Taiwan. The mRNA isolated from the PBMCs was used to determine the levels of ICAM-1, TNF-α and TLR4 mRNAs with real-time polymerase chain reaction (PCR). The propensity-matched analysis was also applied for subgroup analysis. RESULTS: When compared 189 older adults (≧65 years) to 50 younger adults (<65 years), the ICAM-1, TNF-α and TLR4 mRNA levels in PBMCs were significantly higher in older adults (2.00 ± 0.72 vs 0.87 ± 0.34 for ICAM-1, 2.32 ± 0.69 vs 1.15 ± 0.44 for TNF-α and 1.56 ± 0.47 vs 1.05 ± 0.51 for TLR4, and all P < .0001). Also, both age and TLR4 were independent factors affecting mononuclear cell ICAM-1 in the multiple linear regression analysis (P < .0001). CONCLUSION: The mRNA levels of ICAM-1 and TLR4 in PBMCs are higher in older adults than those in younger adults. TLR4 is an independent factor affecting ICAM-1 expression in PBMCs, especially in older adults. This may suggest that ICAM-1 and TLR4 in PBMCs are potential biomarkers and their relationship may shed some light on the ageing process.

Preferences on the Timing of Initiating Advance Care Planning and Withdrawing Life-Sustaining Treatment between Terminally-Ill Cancer Patients and Their Main Family Caregivers: A Prospective Study.

Background: The Western individualistic understanding of autonomy for advance care planning is considered not to reflect the Asian family-centered approach in medical decision-making. The study aim is to compare preferences on timing for advance care planning initiatives and life-sustaining treatment withdrawal between terminally-ill cancer patients and their family caregivers in Taiwan. Methods: A prospective study using questionnaire survey was conducted with both terminally-ill cancer patient and their family caregiver dyads independently in inpatient and outpatient palliative care settings in a tertiary hospital in Northern Taiwan. Self-reported questionnaire using clinical scenario of incurable lung cancer was employed. Descriptive analysis was used for data analysis. Results: Fifty-four patients and family dyads were recruited from 1 August 2019 to 15 January 2020. Nearly 80% of patients and caregivers agreed that advance care planning should be conducted when the patient was at a non-frail stage of disease. Patients' frail stage of disease was considered the indicator for life-sustaining treatments withdrawal except for nutrition and fluid supplements, antibiotics or blood transfusions. Patient dyads considered that advance care planning discussions were meaningful without arousing emotional distress. Conclusion: Patient dyads' preferences on the timing of initiating advance care planning and life-sustaining treatments withdrawal were found to be consistent. Taiwanese people's medical decision-making is heavily influenced by cultural characteristics including relational autonomy and filial piety. The findings could inform the clinical practice and policy in the wider Asia-Pacific region.

Smartphone-Enabled, Telehealth-Based Family Conferences in Palliative Care During the COVID-19 Pandemic: Pilot Observational Study.

BACKGROUND: In the palliative care setting, infection control measures implemented due to COVID-19 have become barriers to end-of-life care discussions (eg, discharge planning and withdrawal of life-sustaining treatments) between patients, their families, and multidisciplinary medical teams. Strict restrictions in terms of visiting hours and the number of visitors have made it difficult to arrange in-person family conferences. Phone-based telehealth consultations may be a solution, but the lack of nonverbal cues may diminish the clinician-patient relationship. In this context, video-based, smartphone-enabled family conferences have become important. OBJECTIVE: We aimed to establish a smartphone-enabled telehealth model for palliative care family conferences. Our model integrates principles from the concept of shared decision making (SDM) and the value, acknowledge, listen, understand, and elicit (VALUE) approach. METHODS: Family conferences comprised three phases designed according to telehealth implementation guidelines-the previsit, during-visit, and postvisit phases. We incorporated the following SDM elements into the model: "team talk," "option talk," and "decision talk." The model has been implemented at a national cancer treatment center in Taiwan since February 2020. RESULTS: From February to April 2020, 14 telehealth family conferences in the palliative care unit were analyzed. The patients' mean age was 73 (SD 10.1) years; 6 out of 14 patients (43%) were female and 12 (86%) were married. The primary caregiver joining the conference virtually comprised mostly of spouses and children (n=10, 71%). The majority of participants were terminally ill patients with cancer (n=13, 93%), with the exception of 1 patient with stroke. Consensus on care goals related to discharge planning and withdrawal of life-sustaining treatments was reached in 93% (n=13) of cases during the family conferences. In total, 5 families rated the family conferences as good or very good (36%), whereas 9 were neutral (64%). CONCLUSIONS: Smartphone-enabled telehealth for palliative care family conferences with SDM and VALUE integration demonstrated high satisfaction for families. In most cases, it was effective in reaching consensus on care decisions. The model may be applied to other countries to promote quality in end-of-life care in the midst of the COVID-19 pandemic.

Plasma vascular adhesion protein-1 levels correlate positively with frailty severity in older adults.

Geriatric frailty is associated with increased mortality and links to increased inflammatory activity. Vascular adhesion protein-1 (VAP-1) is important in inflammatory process. This study investigates the relationship between plasma VAP-1 level and frailty in older adults.The cross-sectional study recruited community dwelling older adults from a hospital-based comprehensive geriatric assessment program. The demographic data, Fried Frailty Index, metabolic and inflammatory parameters were assessed.A total of 151 participants (76 women, 50.3%) were included in the analysis, and the age (mean ±â€Š standard deviation) was 77.1 ±â€Š6.1 years. The mean plasma VAP-1 level (ng/mL) was significantly different (P = .029) among different frailty groups (346.3 ±â€Š86.5 in the robust older adults, 371.6 ±â€Š107.9 in the pre-frail older adults, and 416.6 ±â€Š141.1 in the frail older adults). Multivariate ordered logistic regression analysis also demonstrated that plasma VAP-1 levels were positively associated with frailty severity (P = .039). Analysis of the frailty components with plasma VAP-1 levels showed that the elderly who had "exhaustion" (P = .016) or "weakness" (P = .025) tended to have higher plasma VAP-1 levels.The data support that VAP-1 might represent a potential plasma biomarker of frailty.

Intensive care utilization in patients with end-stage liver disease: A population-based comparative study of cohorts with and without comorbid hepatocellular carcinoma in taiwan.

BACKGROUND: End-of-life intensive care may be futile and can be a cause of distress to both patients and their families. This study aimed to understand the utilization of intensive care and its associated factors in patients with End-stage liver disease (ESLD) during terminal hospitalization. METHODS: Population-based retrospective cohort study using the National Health Institute Research Database of Taiwan. All adult patients with ESLD who died during their hospitalization in 2010-2013 were included. FINDINGS: Of the 14,247 patients with ESLD, the majority (60·8%) was comorbid with hepatocellular carcinoma (HCC). Patients with ESLD only were younger, more deprived, more alcohol-related, and less likely to receive palliative care prior to terminal hospitalization (6·0% vs 29·2% with HCC). Compared to patients with comorbid HCC, relatively more patients without HCC were admitted to ICU (59·6% vs 22·3%), receiving CPR (11·1% vs 4·3%) and mechanical ventilation (36·3% vs 12·5%) during terminal hospitalization. Etiology of alcoholic hepatitis, esophageal varices, septicemia, pneumonia and respiratory failure, and renal failure were associated with a higher probability of ICU admission (adjusted rate ratio (aRR) range: 1·09-2·09). Prior palliative care was associated with lower probability of ICU admission (aRR range: 0·24-0·38). INTERPRETATION: The intensive care utilization by patients with ESLD in their terminal hospitalization was substantial in Taiwan. Those who are not comorbid with HCC need more attention, especially in terms of their palliative care needs, choices regarding intensive care, and their healthcare utilization. FUNDING: National Institute of Health Research Health Applied Research Collaboration (ARC) South London.

Fracture types affect clinical outcomes of patients managed within the fracture liaison and osteoporosis medication management services.

Osteoporosis medication in fragility fracture patients is associated with better outcomes. However, limited studies have investigated whether fracture types affect outcomes among patients undergoing treatment. We performed a secondary data analysis on participants from a fracture liaison service and an osteoporosis medication management service. Participants (n = 974) were regrouped into hip fracture (HF), vertebral fracture (VF), HF + VF, and NO HF/VF groups at baseline. Bivariate and multivariate logistic regressions were performed to identify baseline correlates on one-year mortality, incident refractures, and falls. Baseline characteristics were different among fracture groups. The HF group was oldest, with the lowest body mass index (BMI), lowest FRAX® T-score and had the highest 10-year fracture risk. After intervention, the HF group still had the highest mortality, but the HF + VF group had the highest refracture and incident fall rates. In the multivariate regression analysis, prevalent HF and VF, lower BMI and albumin level, and having chronic kidney disease or cancer were associated with higher mortality rates. HF + VF patients had the highest refracture risk. Prevalent HF and VF, older age and higher BMI, and having cancer or osteoarthritis were associated with a greater fall risk. HF and VF are associated with adverse outcomes, even under an optimal fracture care.