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Palliative care has improved quality of end-of-life (EOL) care for patients with cancer, and these benefits may be extended to patients with other serious illnesses. EOL care quality for patients with home-based care is a critical problem for health care providers. We compare EOL quality care between patients with advanced illnesses receiving home-based care with and without palliative services. The medical records of deceased patients who received home-based care at a community teaching hospital in south Taiwan from January to December 2019 were collected retrospectively. We analyzed EOL care quality indicators during the last month of life. A total of 164 patients were included for analysis. Fifty-two (31.7%) received palliative services (HP group), and 112 (68.3%) did not receive palliative services (non-HP group). Regarding the quality indicators of EOL care, we discovered that a lower percentage of the HP group died in a hospital than did that of the non-HP group (34.6% vs 62.5%, P = .001) through univariate analysis. We found that the HP group had lower scores on the aggressiveness of EOL care than did the non-HP group (0.5 ± 0.9 vs 1.0 ± 1.0, P

The quality of end-of-life (EOL) care for patients receiving home-based care is a critical issue for health care providers. Dying in a preferred place is recognized as a key EOL care quality indicator. We explore the factors associated with death at home or nursing facilities among elderly patients receiving home-based care. This retrospective study was based on a medical chart review between January 2018 and December 2019 of elderly patients. Multivariate analysis was conducted by fitting multiple logistic regression models with the stepwise variable selection procedure to explore the associated factors. The 205 elderly patients receiving home-based care were enrolled for analysis. The mean participant age was 84.2 ± 7.8 years. Multiple logistic regression indicated that significant factors for elderly home-based patients who died at home or nursing facilities were receiving palliative service (odds ratio [OR], 3.21; 95% confidence interval [CI], 1.37-7.51; P = .007), symptoms of nausea or vomiting (OR, 5.38; 95% CI, 1.12-25.84; P = .036), fewer emergency department visits (OR, 0.07; 95% CI, 0.03-0.16; P.001), and less intravenous third-generation cephalosporin use (OR, 0.15; 95% CI, 0.03-0.75; P = .021) in the last month of life. Patients with dementia had a lower probability of dying at home or nursing facilities than patients with other diagnosis (OR, 0.34, 95% CI, 0.13-0.90; P = .030). Among elderly home-based patients, receiving palliative service, with nausea or vomiting, and fewer emergency department visits in the last month of life favored home or nursing facilities deaths. Practitioners should be aware of the factors with higher probabilities of dying at home and in nursing facilities. We suggested that palliative services need to be further developed and extended to ensure that patients with dementia can receive adequate EOL care at home and in nursing facilities.

Background For patients receiving palliative home care, the need to visit the emergency department is considered to be an indicator of poor quality care. The situation can be particularly distressing when it occurs outside of normal hours of palliative home care service. The aim of this study was to investigate the factors for emergency department use during out-of-hours periods of palliative home care service among advanced cancer patients in Taiwan. Methods This case-control study was based on a retrospective medical chart review (January 2010 to December 2012) of advanced cancer patients who were receiving palliative home care in a community hospital in south Taiwan. The use of emergency medical services by these patients was dichotomized into either normal hours (8 a.m. to midnight, Monday to Friday, excluding public holidays) of palliative home care or outside normal hours. Logistic regression analyses were performed to evaluate factors associated with emergency services use during out-of-hours period of palliative home care. Results: Of the 94 patients receiving palliative home care, 65 had used emergency services at least once during the 3-year study period. Of these 65 patients, 40% used emergency services during out-of-hours of palliative home care. Patients with distressing conditions (defined as the occurrence of any two conditions of dyspnea, change of consciousness, or gastrointestinal bleeding) were significantly more likely to use emergency services during out-of-hours of palliative home care. Conclusions Patients at risk of developing dyspnea, change of consciousness, or gastrointestinal bleeding should be provided with relevant information regarding these symptoms and signs.

Background Studies have indicated a pervasive pattern of decreasing healthcare costs during elderly patients’ last year of life. The aim of this study was to explore the predictors of high healthcare costs (HC) in elderly liver cancer patients in Taiwan during their last month of life (LML). Methods Costs of hospitalization, outpatient visits, aggressiveness of care, and associated costs for elderly (age ≥ 65 y) patients with liver cancer in the LML were analyzed using a national insurance database. An HC was defined as being greater than the 90th percentile (US $5093) in the LML, amounting to 38.95% of total healthcare costs. Results We enrolled 2121 subjects who died during 1997–2011. Mean healthcare costs per person in their LML were US $8042 ± 3477 in the HC group and US $1407 ± 1464 in the non-HC group (p

To date, few studies have examined the end-of-life (EOL) care for patients with hematological malignancies (HMs). We evaluated the effects of palliative care on the quality of EOL care and health care costs for adult patients with HMs in the final month of life. We conducted a population-based study and analyzed data from Taiwan's Longitudinal Health Insurance Database, which contains claims information for patient medical records, health care costs, and insurance system exit dates (our proxy for death) between 2000 and 2011. A total of 724 adult patients who died of HMs were investigated. Of these patients, 43 (5.9%) had received only inpatient palliative care (i-Pal group), and 19 (2.6%) received home palliative care (h-Pal group). The mean health care costs during the final month of life were not significantly different between the non-Pal and Pal groups (p=0.315) and between the non-Pal, i-Pal, and h-Pal groups (p=0.293) either. By the multivariate regression model, the i-Pal group had lower risks of chemotherapy, ICU admission, and receipt of CPR, but higher risks of at least two hospitalizations and dying in hospital after adjustments. The h-Pal group had the similar trends as the i-Pal group but lower risk of dying in hospital after adjustments. Patients with HMs who had received palliative care could benefit from less aggressive EOL cancer care in the final month of life. However, 8.6% patients with HMs received palliative care. The related factors of more hospitalizations and dying in hospital warrant further investigation.

Background Palliative care has improved the quality of end-of-life (EOL) care and lowered the health care cost of cancer, and these benefits should be extended to patients with other serious illnesses including end-stage kidney disease. We evaluated the quality of EOL care, survival probabilities, and health care costs for dialysis patients in their last month of life. Methods We conducted a population-based study and analyzed data from Taiwan’s Longitudinal Health Insurance Database, which contains claims information of patient medical records, health care costs, and insurance system exit dates (our proxy for death between 2006 and 2011). Results Data of 1177 adult patients who died of chronic hemodialysis or peritoneal dialysis were investigated. The mean age of these patients was 69.7 ± 11.9 years, and 585 (49.7%) were women. Some patients with dialysis received cardiopulmonary resuscitation (66.9%), died in a hospital (65.0%), or were admitted to an intensive care unit (51.0%) in the last month of life. We further classified these patients into two groups, namely dialysis with cancer (DC) (n = 149) and dialysis without cancer (D) (n = 1028). Only 19 dialysis patients received palliative care, and the proportion of patients receiving palliative care was higher in the DC group than in the D group (11.4% vs. 0.2%). The mean health care costs per person during the final month of life was similar between the DC and D groups (USD 2755 ± 259 vs. USD 2827 ± 88). Multivariate logistic regression showed that the DC group had lower odds of receiving cardiopulmonary resuscitation (CPR) (OR: 0.39, CI = 0.26–0.56, p 25 days) (OR: 1.52, CI = 1.01–2.29, p = 0.0046), and higher odds of being hospitalized more than once (OR: 2.26, CI = 1.42–3.59, p = 0.001) than the D group in the last month of life after adjustments. Conclusions DC patients received hospice care more frequently, received CPR less frequently, and had similar health care costs. DC patients also had a higher risk of a hospital stay that lasted more than 25 days and more than one hospitalization compared with D patients in the final month of life. Electronic supplementary material The online version of this article (10.1186/s12882-019-1440-9) contains supplementary material, which is available to authorized users.

Supplemental Digital Content is available in the text, The aim of the study is to examine the effect of hospice care on quality of end-of-life (EOL) care for patients with advanced cancer in Taiwan between 2002 and 2011. It is a population-based longitudinal study following National Health Insurance medical care claims of hospice and nonhospice patients with advanced cancer in their last month of life. Utilization of hospice service doubled from 10.5% to 21.5% over the study period. Of 12,682 patients identified as having advanced cancer, 7975 (62.88%) were found to have 1 or more quality indicators (QIs) of poor EOL cancer care. After adjustments, those receiving hospice cares had a significant reduction in incidence of chemotherapy in the last 14 days of life as well as intensive care unit (ICU) admission and cardiopulmonary resuscitation (CPR) in the last month of life. The hospice care group also had significant increases in having more than 1 hospitalization and dying under hospital care, but no change in having more than 1 emergency room (ER) visit. The hospice group curve of estimated incidence rates of each QI was consistently below that of the nonhospice group in chemotherapy—with the difference between the 2 curves increasing over time—ICU admission, and CPR, and above that of the nonhospice group for dying in a hospital and having more than 1 hospitalization over the study period. The 2 groups overlapped on ER visits. Overall, hospice care was associated with less chance to have 1 or more QIs of EOL care for advanced cancer patients (RR = 0.56, 95% CI: 0.52–0.60, P

Objective Liver cancer is a growing global public health problem. Ultrasonography is an imaging tool widely used for the early diagnosis of liver cancer. However, the effect of ultrasonography surveillance (US) on the survival of patients with liver cancer is unknown. Therefore, this study examined the association between survival and US frequency during the 2 years preceding patients’ liver cancer diagnosis. Methods This population-based longitudinal study was conducted in Taiwan, a region with high liver cancer incidence, by using the National Health Insurance Research Database. We compared survival between patients who received US three times or more (≥3 group) and less than three times (

Context A better time-to-death (TTD) prediction can facilitate decision-making processes related to plans for providing effective end-of-life care for patients in hospice wards. Objective To explore the association of cardiovascular autonomic functions with TTD in patients with terminal hepatocellular carcinoma. Methods A prospective study was conducted with 33 patients with hepatocellular carcinoma recruited from the hospice ward of a regional hospital in Chiayi county, Taiwan. Serum creatinine, serum glutamate oxaloacetate transaminase, serum glutamate pyruvate transaminase, blood urea nitrogen (BUN), and serum albumin were measured on the admission day. Cardiovascular autonomic functions were evaluated by frequency-domain measures of heart rate variability (HRV) on admission. Results TTD was significantly associated with total spectrum power (TP) (r=0.55, P=0.001) and high frequency (HF power) (r=0.44, P=0.010) of HRV measurement. The accuracy of within-one-week TTD prediction was 67% for TP and HF power. The accuracy of within-two-week TTD prediction was 82% for TP and 73% for HF. In addition, TTD of the patients was also significantly associated with serum creatinine (r=−0.42, P=0.015), serum albumin (r=−0.46, P=0.007), and BUN (r=−0.44, P=0.010). Conclusion This is the first study to evaluate the association between cardiovascular autonomic functions and TTD in patients with terminal hepatocellular carcinoma. The inclusion of HRV measurement in prognostic models may improve accuracy in TTD prediction and, hence, facilitate medical decision making in hospice care.

Objective The aim of the present study is to compare the accuracy in using laboratory data or clinical factors, or both, in predicting probability of dying within 7 days of hospice admission in terminal cancer patients. Methods We conducted a prospective cohort study of 727 patients with terminal cancer. Three models for predicting the probability of dying within 7 days of hospice admission were developed: (i) demographic data and laboratory data (Model 1); (ii) demographic data and clinical symptoms (Model 2); and (iii) combination of demographic data, laboratory data and clinical symptoms (Model 3). We compared the models by using the area under the receiver operator curve using stepwise multiple logistic regression. Results We estimated the probability dying within 7 days of hospice admission using the logistic function, P = Exp(βx)/[1 + Exp(βx)]. The highest prediction accuracy was observed in Model 3 (82.3%), followed by Model 2 (77.8%) and Model 1 (75.5%). The log[probability of dying within 7 days/(1 − probability of dying within 7 days)] = −6.52 + 0.77 × (male = 1, female = 0) + 0.59 × (cancer, liver = 1, others = 0) + 0.82 × (ECOG score) + 0.59 × (jaundice, yes = 1, no = 0) + 0.54 × (Grade 3 edema = 1, others = 0) + 0.95 × (fever, yes = 1, no = 0) + 0.07 × (respiratory rate, as per minute) + 0.01 × (heart rate, as per minute) − 0.92 × (intervention tube = 1, no = 0) − 0.37 × (mean muscle power). Conclusions We proposed a computer-assisted estimated probability formula for predicting dying within 7 days of hospice admission in terminal cancer patients.

The gross appearance and histological features of the medial plicae removed from 48 consecutive patients who had received total knee replacement for severe medial compartment osteoarthritis of their knees were investigated prospectively. The prevalence of the medial plica was 100%. A small branch of skeletal muscle originating from articularis genu inserting into the proximal synovial stroma of the medial plica was found in all knees. The synovial fold of the distal part of the medial plica was disclosed to have a close relationship with the gracilis tendon sheath. Histologically, the majority of advanced pathologic presentation was found at the middle and distal portion of the medial plica that might abrade on the articular cartilage of the medial femoral condyle. Noticeable cartilaginous lesion was found on the facing medial femoral condyle in all knees. The histomorphological findings of the medial plica imply the close interplay between this structure and the medial femoral condyle that might play a role in the pathogenesis of medial compartment osteoarthritis of the knee. Clinical relevance: The findings of this study support the beneficial effect of some surgical procedure that would remove the pathologic medial plica for the treatment of medial compartment OA knee.

Objective To test a fluid flow system for the investigation of the influence of shear stress on expression of plasminogen activator inhibitor 1 (PAI-1) in human osteoarthritic (OA) articular chondrocytes (from lesional and nonlesional sites) and human SW-1353 chondrocytes. Methods Human SW-1353 chondrocytes and OA and normal human articular chondrocytes were cultured on type II collagen–coated glass plates under static conditions or placed in a flow chamber to form a closed fluid-circulation system for exposure to different levels of shear stress (2–20 dyn/cm2). Real-time polymerase chain reaction was used to analyze PAI-1 gene expression, and protein kinase C (PKC) inhibitors and small interfering RNA were used to investigate the mechanism of shear stress–induced signal transduction in SW-1353 and OA (lesional and nonlesional) articular chondrocytes. Results There was a significant reduction in PAI-1 expression in OA chondrocytes obtained from lesional sites compared with those obtained from nonlesional sites. In SW-1353 chondrocytes subjected to 2 hours of shear flow, moderate shear stresses (5 and 10 dyn/cm2) generated significant PAI-1 expression, which was regulated through PKCα phosphorylation and Sp-1 activation. These levels of shear stress also increased PAI-1 expression in articular chondrocytes from nonlesional sites and from normal healthy cartilage through the activation of PKCα and Sp-1 signal transduction, but no effect of these levels of fluid shear stress was observed on OA chondrocytes from lesional sites. Conclusion OA chondrocytes from lesional sites and those from nonlesional sites of human cartilage have differential responses to shear stress with regard to PAI-1 gene expression, and therefore diverse functional consequences can be observed.

The effectiveness of home hospice care was helping patients to die at home, and reducing symptom burden.The study objective was to explore the impact of home hospice care on death at home, end-of-life (EOL) care, and health care costs among patients with advanced lung cancer in their last month of life.Using Taiwan's National Health Insurance Claims Database, we analyzed factors associated with home hospice care using logistic regression analysis.We enrolled 568 patients with advanced lung cancer under hospice care who died during 1997-2011, of which 238 (41.9%) received home hospice care. Compared with the inpatient hospice (IH) group, the home hospice (HH) group had a larger portion die at home (55.5% versus 22.1%, p 0.001), but a smaller portion stayed in hospital more than 14 days in their last month of life (67.3% versus 40.8%, p 0.001). The mean health care cost was less in the HH group than in the IH group (US $1,385.00 ± $1,370.00 and US $2,155.00 ± $1,739.00 [p 0.001], respectively). Female patients' (p = 0.001) decreased hospital stay in the last month of life (p 0.001) and longer hospice care duration (p = 0.003) were predictors of receiving home hospice care in advanced lung patients.Home hospice care enables patients with advanced lung cancer to increase the 33.4% chance of dying at home, to spend an average of eight-days less in hospital stay, and to save 35.7% health care costs in the last month of life, compared with their counterparts with only inpatient hospice care. Female patients' decreased hospital stay and longer hospice care duration were the predictors of receiving home hospice care.

The aim of this study was to compare health-care expenditures and survival of these terminally ill patients receiving or not receiving hospice care in their last month of life. Using Taiwan’s National Health Insurance Claims Database, we analyzed hospitalizations, OPD visits, associated costs, and survival. Logistic regression was used to identify predictors of high cost. We identified 3850 liver cancer patients who died during the 1997–2011 study period, 644 (16.6 %) of whom were hospice care patients. No significant difference was found in mean survival time between the hospice and non-hospice groups (1.77 ± 2.44 vs. 1.84 ± 2.37 years, p = 0.217). The mean health-care expenditures per person were US$2370 ± 3421 and US$2072 ± 1900 (p = 0.130). A total of 385 patients (10 %) received high-cost care (above US$5422) using 38.6 % of the total health-care expenditures spent on the entire population. The significant predictors of high costs were non-hospice care [odds ratio (OR) = 3.06, 95 % confidence interval (CI) 2.09–4.60], days of admission [risk increase per admission day being (OR = 1.19, 95 % CI 1.17–1.21)], admission into an intensive care unit (OR = 3.17, 95 % CI 1.94 to 5.15), use of ventilator (OR = 3.54, 95 % CI 1.91–6.52), cancer therapy (OR = 1.82, 95 % CI 1.33–2.48), hemodialysis (OR = 2.62, 95 % CI 1.07–6.02), and higher socioeconomic status (OR = 1.65, 95 % CI 1.10–2.45). Hospice care did not significantly affect survival, and hospice patients had lower per-patient expenditures and were less likely to require high-cost medical care than their non-hospice counterparts.

Introduction The association of vegetarian status with the risk of metabolic syndrome (MetS) is not clear. In Asia, Buddhists often have vegetarian behavior for religious rather than for health reasons. We hypothesize that the vegetarian in Buddhism is associated with better metabolic profiles, lower risk for the MetS and insulin resistance (IR). Methods We enrolled 391 female vegetarians (∼80% lacto-ovo-vegetarians) and 315 non-vegetarians from health-checkup clinics at a Buddhist hospital in Taiwan. Results The vegetarian status was associated with lower body mass index, smaller waist circumference, lower total cholesterol, lower low density lipoprotein-cholesterol (LDL-C), and lower HDL-C in multivariate linear regression analyses. Despite having lower HDL-C level, the vegetarians had significantly lower total cholesterol/HDL-C and LDL-C/HDL-C ratios. After adjusting the other covariates, the risks for the MetS were lower for ovo-lacto-vegetarians of 1–11 years and >11 years respectively by 54% (odds ratio [OR] = 0.46, 95%C.I.:0.26–0.79) and 57% (OR = 0.43, 95%C.I.:0.23–0.76) compared to non-vegetarians by the IDF criteria. Likewise, they were lower respectively by 45% (OR = 0.55, 95%C.I.:0.32–0.92) and 42% (OR = 0.58, 95%C.I.:0.33–0.997), for the MetS by the modified NCEP criteria. In the subgroup of non-diabetic subjects, the vegetarians also had lower risk for IR by HOMA compared to the non-vegetarians (OR = 0.71, 95%C.I.:0.48–1.06). Conclusion The vegetarian behavior, mainly lacto-ovo-vegetarian, related to Buddhism, although not meant for its health effects, is associated with reduced risk for the MetS and IR and may potentially provide metabolic and cardiovascular protective effects in women.

BACKGROUND: A simple and accurate survival prediction tool can facilitate decision making processes for hospice patients with advanced cancers. The objectives of this study were to explore the association of cardiac autonomic functions and survival in patients with advanced cancer and to evaluate the prognostic value of heart rate variability (HRV) in 7-day survival prediction. METHODS: A prospective study was conducted on 138 patients with advanced cancer recruited from the hospice ward of a regional hospital in southern Taiwan. Information on functional status and symptom burden of the patients was recorded. Frequency-domain HRV was obtained for the evaluation of cardiac autonomic functions at admission. The end point of the study was defined as the survival status at day 7 after admission to the hospice ward. Multivariate logistic regression analyses were performed to evaluate the independent associations between HRV indices and survival of 7 days or less. RESULTS: The median survival time of the patients was 20 days (95% CI, 17-28 days). Results from the multivariate logistic regression analysis indicated that the natural logarithm-transformed high-frequency power (lnHFP) of a value less than 2 (OR = 3.8, p = 0.008) and ECOG performance status of 3 or 4 (OR = 3.4, p = 0.023) were significantly associated with a higher risk of survival of 7 days or less. Receiver operating characteristic (ROC) curve analysis revealed that the area under the curve was 0.71 (95% CI, 0.61-0.81). CONCLUSIONS: In hospice patients with non-lung cancers, an lnHPF value below 2 at hospice admission was significantly associated with survival of 7 days or less. HRV might be used as a non-invasive and objective tool to facilitate medical decision making by improving the accuracy in survival prediction.

Background Short sleep duration has been reported to associate with increased insulin resistance. However, no studies have investigated whether such association exists in vegetarians. The aim of this study was to investigate the association between sleep duration and insulin resistance in Taiwanese vegetarians. Methods A total of 1290 individuals were recruited from a regional hospital in south Taiwan during their regular routine physical examination. Only individuals who described themselves as Buddhist vegetarians were included in the study. Demographic information and clinical characteristics were collected and multiple logistic regression analysis was used to evaluate the association between sleep duration and insulin resistance. Results A total of 433 vegetarians were included in the study. Results from univariate logistic regression indicated that insulin resistance was significantly associated with male sex, greater waist circumference, higher triglyceride levels, lower high-density lipoprotein cholesterol levels, higher plasma creatinine levels, higher alanine transaminase levels, greater energy expenditure, and sleep duration of more than 8 hours per night. Multiple logistic regression revealed that insulin resistance was significantly and independently associated with sleep duration of more than 8 hours per night (odd ratios = 2.27, 95% confidence interval = 1.24, 4.11) after adjusting for waist circumference and levels of alanine transaminase. Conclusions Sleep duration of more than 8 hours per night is an independent risk factor associated with increased insulin resistance in vegetarians.

Background Lipid accumulation product (LAP) has been advocated as a simple clinical indicator of metabolic syndrome (MS). However, no studies have evaluated the accuracy of LAP in predicting MS in Taiwanese adults. The aim of our investigation was to use LAP to predict MS in Taiwanese adults. Methods Taiwanese adults aged 50 years and over (n = 513) were recruited from a physical examination center at a regional hospital in southern Taiwan. MS was defined according to the MS criteria for Taiwanese people. LAP was calculated as (waist circumference [cm] − 65) × (triglyceride concentration [mM]) for men, and (waist circumference [cm] − 58) × (triglyceride concentration [mM]) for women. Simple logistic regression and receiver-operating characteristic (ROC) analyses were conducted. Results The prevalence of MS was 19.5 and 21.5% for males and females, respectively. LAP showed the highest prediction accuracy among adiposity measures with an area under the ROC curve (AUC) of 0.901. This was significantly higher than the adiposity measure of waist-to-height ratio (AUC = 0.813). Conclusions LAP was a simple and accurate predictor of MS in Taiwanese people aged 50 years and over. LAP had significantly higher predictability than other adiposity measures tested.

Background The triglyceride to high-density lipoprotein cholesterol ratio (TG/HDL-C) has been advocated as a simple clinical indicator of insulin resistance. Thresholds of TG/HDL-C appeared to depend on ethnicity. However, no studies have specifically compared the accuracy of TG/HDL-C with and without other clinical and demographic factors in predicting insulin resistance in Taiwanese adults. The aim of the present investigation was to use TG/HDL-C and other clinical available factors to predict insulin resistance in Taiwanese adults. Methods A total of 812 subjects were recruited from at the time of their general health examination at the Buddhist Dalin Tzu Chi General Hospital, Taiwan. Demographic information and clinical characteristics were obtained. Insulin resistance was defined by the homeostasis model assessment for insulin resistance (HOMA-IR). Simple and multiple logistic regression analyses were used to obtain probabilities of insulin resistance (HOMA-IR > 2) using TG/HDL-C with (Model 2) and without (Model 1) other clinical variables. A receiver operating characteristic (ROC) analysis was conducted to evaluate the ability of the two models to correctly discriminate between subjects of low and elevated HOMA-IR. Results Female sex, greater waist circumferences, and higher ALT levels were significantly associated with the risk of elevated HOMA-IR in addition to TG/HDL-C in the multiple logistic regression (Model 2). The area under the ROC curve (AUC) of Model 2 was 0.71 [95% CI = 0.67-0.75] and was significantly higher (P = 0.007) than the AUC 0.66 [95% CI = 0.62-0.71] of Model 1. Conclusions The diagnostic accuracy of insulin resistance, defined by HOMA-IR, using TG/HDL-C can be significantly enhanced by including three additional clinically available factors - sex, waist circumferences, and ALT levels.

A gastric carcinoid tumor concomitant with gastrointestinal stromal tumor (GIST) is rarely encountered in clinical practice. We report a 65-year-old female who had a 0.8 cm gastric carcinoid tumor on the posterior wall of the upper gastric corpus detected during an esophagogastroduodenoscopy at a routine physical examination, and a concomitant 1.1 cm GIST on the anterior wall of the upper gastric corpus incidentally found during surgery of the gastric carcinoid tumor. Normal serum gastrin level and histological findings suggested that she had a type III gastric carcinoid tumor and a GIST which were categorized a very low risk of malignancy, based on their small size and lack of mitosis. Both tumors were treated successfully by surgical excision. The patient had an uneventful recovery. Neither recurrence nor metastasis was found after a 28-mo follow-up.

Background An accurate prediction of unplanned readmission (UR) after discharge from hospital can facilitate physician's decision making processes for providing better quality of care in geriatric patients. The objective of this study was to explore the association of cardiac autonomic functions as measured by frequency domain heart rate variability (HRV) and 14-day UR in geriatric patients. Methods Patients admitted to the geriatric ward of a regional hospital in Chiayi county in Taiwan were followed prospectively from July 2006 to June 2007. Those with invasive tubes and those who were heavy smokers, heavy alcohol drinkers, on medications that might influence HRV, or previously admitted to the hospital within 30 days were excluded. Cardiac autonomic functions were evaluated by frequency domain indices of HRV. Multiple logistic regression was used to assess the association between UR and HRV indices adjusted for age and length of hospitalization. Results A total of 78 patients met the inclusion criteria and 15 of them were readmitted within 14 days after discharge. The risk of UR was significantly higher in patients with lower levels of total power (OR = 1.39; 95% CI = 1.04-2.00), low frequency power (LF) (OR = 1.22; 95% CI = 1.03-1.49), high frequency power (HF) (OR = 1.27; 95% CI = 1.02-1.64), and lower ratios of low frequency power to high frequency power (LF/HF ratio) (OR = 1.96; 95% CI = 1.07-3.84). Conclusion This is the first study to evaluate the association between frequency domain heart rate variability and the risk of UR in geriatric patients. Frequency domain heart rate variability indices measured on admission were significantly associated with increased risk of UR in geriatric patients. Additional studies are required to confirm the value and feasibility of using HRV indices on admission as a non-invasive tool to assist the prediction of UR in geriatric patients.

Background The ability to identify patients for hospice care results in better end-of-life care. To develop a validated prognostic scale for 7-day survival prediction, a prospective observational cohort study was made of patients with terminal cancer. Methods Patient data gathered within 24 hours of hospital admission included demographics, clinical signs and symptoms and their severity, laboratory test results, and subsequent survival data. Of 727 patients enrolled, data from 374 (training group) was used to develop a prognostic tool, with the other 353 serving as the validation group. Results Five predictors identified by multivariate logistic regression analysis included patient's cognitive status, edema, ECOG performance status, BUN and respiratory rate. A formula of the predictor model based on those five predictors was constructed. When probability was >0.2, death within 7 days was predicted in the training group and validation group, with sensitivity of 80.9% and 71.0%, specificity of 65.9% and 57.7%, positive predictive value of 42.6% and 26.8%, and negative predictive value (NPV) of 91.7% and 90.1%, respectively. Conclusion This predictor model showed a relatively high sensitivity and NPV for predicting 7-day survival among terminal cancer patients, and could increase patient satisfaction by improving end-of-life care.

Background Quality of near end-of-life (EOL) care is typically evaluated using six accepted quality indicators (QIs). Research has yet to evaluate the quality of EOL care for liver cancer patients in Taiwan. We evaluated the effect of hospice care on the quality of EOL care for patients with advanced liver cancer. Methods Using claims data obtained from the Taiwan National Health Insurance Research Database, we analyzed the QIs of EOL care for patients who died between 2000 and 2011. Logistic regression was performed to identify predictors for QIs of EOL care. Results A total of 3092 adult patients died of liver cancer during the study period. The patients were divided into those who received hospice care for a period longer than 1 month (long-H group), shorter than 1 month (short-H group), and not at all (non-H group). There was no significant difference in survival probability among the three groups (p = 0.212). Compared with the non-H group, the long- and short-H groups exhibited a significantly lower risk of being admitted to an intensive care unit (ICU) (odds ratios [ORs] = 0.25 and 0.26, respectively, p