Colorectal Cancer and Subsequent Diabetes Risk: A Population-based Cohort Study in Taiwan.

CONTEXT: The association between colorectal cancer (CRC) and new-onset diabetes mellitus remains unclear. OBJECTIVE: To examine the association between CRC and the risk of subsequent diabetes mellitus and to further investigate the impact of chemotherapy on diabetes mellitus risk in CRC. DESIGN: A nationwide cohort study. METHODS: Using the Taiwan Cancer Registry Database (2007-2018) linked with health databases, 86,268 patients with CRC and an equal propensity score-matched cohort from the general population were enrolled. Among them, 37,277 CRC patients from the Taiwan Cancer Registry (2007-2016) were analyzed for diabetes mellitus risk associated with chemotherapy. Chemotherapy exposure within 3 years of diagnosis was categorized as no chemotherapy, <90 days, 90-180 days, and >180 days. Differences in diabetes mellitus risk were assessed across these categories. RESULTS: Each group involved 86,268 participants after propensity score matching. The patients with CRC had a 14% higher risk of developing diabetes mellitus than the matched general population (hazard ratio [HR]: 1.14, 95% confidence interval [CI]: 1.09-1.20). The highest risk was observed within the first year after diagnosis followed by a sustained elevated risk. Long-term chemotherapy (>180 days within 3 years) was associated with a 60-70% increased risk of subsequent diabetes mellitus (HR: 1.64, 95% CI: 1.07-2.49). CONCLUSION: Patients with CRC are associated with an elevated risk of diabetes mellitus, and long-term chemotherapy, particularly involving capecitabine, increases diabetes mellitus risk. Thus, monitoring blood glucose levels is crucial for patients with CRC, especially during extended chemotherapy.

Diabetic severity and oncological outcomes of colorectal cancer following curative resection: A population-based cohort study in Taiwan.

BACKGROUND: Although diabetes is a poor prognostic factor for colorectal cancer (CRC), whether diabetes severity provides an additional predictive value for CRC prognosis remains unclear. The study aimed to investigate the prognostic differences after curative CRC resection among patients with different diabetic severities. METHODS: This population-based retrospective cohort study analyzed data registered between 2007 and 2015 in the Cancer Registry Database, which is linked to the National Health Insurance Research Database and National Death Registry. Patients with CRC who underwent curative radical resection for stage I-III disease were evaluated, with their diabetic status subdivided into no diabetes, diabetes without complication, and diabetes with complications. Cox regressions were applied to determine the association between diabetes severity and CRC survival, including overall survival (OS), disease-free survival (DFS), time to recurrence, and cancer-specific survival (CSS). RESULTS: A total of 59,202 patients with CRC were included. Compared with the no diabetes group, the diabetes without complication group has insignificantly worse OS (hazard ratio [HR], 1.05; 95% confidence interval [CI], 1.01-1.09), DFS (HR, 1.08; 95% CI, 1.04-1.12), and CSS (HR, 0.98; 95% CI, 0.93-1.03), whereas those with complicated diabetes had a significantly higher risk of poor survival (OS: HR, 1.85; 95% CI, 1.78-1.92; DFS: HR, 1.75; 95% CI, 1.69-1.82; CSS: HR, 1.41; 95% CI, 1.33-1.49). Patients with CRC and diabetes also had a higher risk of recurrence than did those without diabetes. Sex and TNM staging were important effect modifiers. CONCLUSIONS: Among patients with CRC who undergo curative resection, the severity of the diabetes is inversely correlated with long-term outcomes, especially in women and patients in the earlier stages of CRC. PLAIN LANGUAGE SUMMARY: The prognostic impact of diabetes severity in colorectal cancer (CRC) is yet to be clarified. In this cohort study of 59,202 patients with CRC, compared with patients with CRC and without diabetes, those with uncomplicated diabetes had an insignificantly worse CRC survival, whereas those with complicated diabetes had a significantly higher risk of poor survival. Multidisciplinary medical care to prevent progression into diabetes with complications is needed to improve survival among patients with CRC and diabetes.

Incidence of Metabolic Syndrome and Its Risk Factors in Elderly with Nonalcoholic Fatty Liver Disease.

Purpose: This study aimed to determine the incidence of metabolic syndrome (MetS) and its predictors in older patients with nonalcoholic fatty liver disease. Patients and Methods: This retrospective cohort study analyzed repeated health surveillance data collected between 2009 and 2018 at Mackay Memorial Hospital, Taiwan. MetS was defined based on the modified National Cholesterol Education Program Adult Treatment Panel III (Taiwan revision). Participants were diagnosed with fatty liver disease using abdominal ultrasonography. The exclusion criteria included age <65 years, having viral hepatitis, frequent alcohol consumption, and pre-existing MetS. Logistic regression analysis was conducted, adjusting for sex and age. Results: We enrolled 758 older participants; 457 (60.3%) with preexisting metabolic syndrome were excluded. We studied the remaining 301 participants (39.7%), with a mean age of 71.3 ± 5.4 years. The cumulative incidence of MetS was 43.5% after a mean follow-up period of 4.2 years; moreover, it was higher in women as well as in participants with diabetes and hypertriglyceridemia. After adjusting for age and sex, we identified the following risk factors for MetS: baseline high fasting plasma glucose levels (adjusted odds ratio [aOR] =1.75; 95% confidence interval [CI] 1.03-2.95), baseline hypertriglyceridemia (aOR = 2.26; 95% CI 1.15-4.47), and baseline large waist circumference (aOR =1.71; 95% CI 1.01-2.89). Furthermore, increased waist circumference and fasting plasma glucose levels at follow-up were significant risk factors. Conclusion: There is a high incidence of MetS among older individuals with nonalcoholic fatty liver disease; further, women and individuals with diabetes or hypertriglyceridemia are at risk of developing MetS. Moreover, waist circumference and fasting plasma glucose levels were positively associated with the risk of MetS.

Association between Serum Uric Acid Levels and Bone Mineral Density in Taiwanese Elderly Population.

Osteoporosis is a progressive metabolic bone disorder characterised by a decline in bone mineral density (BMD). Some previous studies have reported a controversial relationship between uric acid and osteoporosis. This cross-sectional study aimed to assess the association between serum uric acid levels and BMD in older adults from Taiwan. Data from participants aged ≥ 60 years were collected from 2008 to 2018. Furthermore, the participants were classified based on uric acid level quartiles. Regression models were used to assess the association between uric acid levels and bone health, including BMD values and risk of at least osteopenia. Crude and adjusted models of potential confounders, including age, sex and body mass index (BMI), were used. Compared with the first quartile of uric acid levels, the odds ratios for osteoporosis decreased in the higher uric acid level groups after adjustment for age, sex and BMI. The boxplot analysis showed that BMD values were higher in the groups with higher uric acid levels; moreover, the results of the multivariable linear regression model showed a consistent pattern. Notably, uric acid levels were positively correlated with BMD values. Higher uric acid levels in the elderly population might decrease the risk of at least osteopenia. As opposed to the anti-hyperuricemic policy for younger adults with a relatively lower risk of osteoporosis, BMD evaluation and urate-lowering therapy, goal adjustments should be considered for older adults with lower uric acid levels.

Association Between Premorbid Metabolic Syndrome and Coronary Arterial Stenosis: Results from One Medical Center in Taiwan.

Background: Although the relationship between metabolic syndrome (MetS) and cardiovascular disease is already well-established, there is limited evidence as to whether individuals are at risk for cardiovascular disease during the premorbid state of MetS. The aim of this study is to explore the relationship between coronary arterial stenosis and MetS in a nonhypertensive and nondiabetic population. Methods: In this cross-sectional study, we analyzed the data of participants who underwent annual health checkups in a medical center. These data were collected from physical examination, blood tests, cardiac computed tomography examinations, and medical charts. We excluded those with established hypertension or diabetes and age of <50 or >75 years. Results: This study recruited 700 participants with a mean age of 59.5 years. More than 31% had MetS, and the overall prevalence of coronary arterial stenosis was 48.0% (grade 1, 2, 3, 4: 16.3%, 20.9%, 8.4%, 2.4%, respectively). In univariate analysis, older age, male sex, smoking, body mass index, elevated fasting plasma glucose (FPG), elevated triglyceride, lower level of high-density lipoprotein cholesterol, and presence of MetS were all positively correlated with coronary arterial stenosis. After adjustment for confounding factors, MetS still showed strong association with high grades of coronary arterial stenosis [odds ratio (OR) 2.86, confidence interval (95% CI) 1.30-4.01]. Specific components of MetS, such as elevated triglyceride [OR 2.02, 95% CI 1.14-3.57] and elevated FPG [OR 2.25, 95% CI 1.31-3.88], were also associated with coronary arterial stenosis. Conclusion: Our study concluded that premorbid MetS was significantly associated with coronary arterial stenosis. As for the individual components, elevated triglyceride and elevated FPG were both correlated with coronary arterial stenosis. Early preventive measures would be suggested at this stage of MetS to prevent future cardiovascular events.

The role of smoking cessation programs in lowering blood pressure: A retrospective cohort study.

INTRODUCTION: Cigarette smoking affects blood pressure and is a major risk factor for cardiovascular diseases. The role of smoking cessation programs with respect to blood pressure remains inconclusive. Thus, this study aimed to investigate the effects of a smoking cessation program on blood pressure. METHODS: Participants who attended the smoking cessation program in an outpatient clinic of a tertiary medical center in Taiwan from 2017 to 2018 were enrolled in this retrospective cohort study. Their smoking cessation status was traced via phone calls during the third month, and the researchers collected participant characteristics and blood pressure before and after the program. Differences in the participants' blood pressure, based on those with and those without hypertension, were compared using analysis of covariance. Univariable logistic regression models were used to determine factors associated with success in smoking cessation. In total, there were 721 participants. The participants had a mean age of 55.8±11.4 years and 68.1% of the participants were hypertensive. RESULTS: During the program, the overall systolic blood pressure decreased by 4.0±17.9 mmHg and diastolic blood pressure decreased by 2.5±12.0 mmHg, from the baseline. Hypertensive participants showed a more prominent blood pressure lowering effect compared to non-hypertensive participants in terms of the subtraction difference of systolic blood pressure (-5.0±19.0 vs -1.9±15.2 mmHg, p=0.018) and diastolic blood pressure (-3.1±12.9 vs -1.1±9.6 mmHg, p=0.016). After multivariate control, the results showed that the adjusted subtraction difference of diastolic blood pressure was still more significant in the hypertensive group than in the non-hypertensive group. CONCLUSIONS: The smoking cessation program significantly reduced both systolic blood pressure and diastolic blood pressure in the entire cohort. The results were more significant in the hypertensive group compared to the non-hypertensive group.

Obesity phenotypes and their relationships with atrial fibrillation.

BACKGROUND: This study assessed the associations of metabolic obesity phenotypes with the risk of atrial fibrillation (Afib). METHODS: This prospective cohort study categorized Taiwanese adults according to their body mass index (BMI) and metabolic health status at baseline. We assigned the participants to the underweight (BMI < 18.5 kg/m2), normal weight (BMI = 18.5-23.9 kg/m2), and overweight/obesity groups (BMI ≥ 24 kg/m2). Metabolically healthy was defined as absence of hypertension, diabetes, and hyperlipidemia and the presence of healthy metabolic profiles. RESULTS: In total, 5,742 adults were included. During a median follow-up of 13.7 years, 148 patients developed Afib. Compared to the metabolically healthy normal weight group, the risk of Afib was significantly higher than those in the metabolically unhealthy overweight/obesity (hazard ratio = 2.20, 95% confidence interval [1.12-4.33]) and metabolically unhealthy normal weight groups (HR = 2.64, 95% CI [1.34-5.17]). Additionally, the point estimate suggested a 1.97-fold greater risk among the metabolically healthy overweight/obesity group, although this difference was not significant given the wide confidence interval (HR = 1.97, 95% CI [0.80-4.86]). CONCLUSION: Our results demonstrated the relationships of metabolic health and weight regarding the risk of Afib in Taiwanese adults. The Afib risk among metabolic and obesity phenotypes is associated with a metabolically unhealthy status. A trend toward a higher Afib risk with obesity among metabolically healthy subjects was observed. However, the result was not robust and it still suggested further study.

Metabolically healthy overweight/obesity and cancer risk: A representative cohort study in Taiwan.

OBJECTIVE: Many cancers are caused by overweight; however, cancer risk varies among individuals with obesity. Few studies are addressing the relationship between metabolic obesity phenotypes and cancer. This study investigates the association between metabolically healthy overweight (MHOW) or metabolically healthy obesity (MHO) and cancer incidence. METHODS: In a nationwide, representative community-based prospective cohort study, 5734 Taiwanese adults were classified into eight phenotypes according to body mass index (underweight <18.5; normal weight 18.5-23.9; overweight 24-26.9; and obese ≥27 kg/m2) and metabolic status (healthy/unhealthy). Participants with healthy cardiometabolic blood profiles included in the metabolic syndrome criteria and an absence of hypertension, diabetes, and hyperlipidemia were considered metabolically healthy. We used the Cox proportional hazards models to estimate the adjusted hazard ratio (HR) and 95% confidence intervals (95% CI). RESULTS: During 73,389 person-years of follow-up, 428 incident cancers were identified. Compared to the participants with metabolically healthy normal weight, participants with MHOW (adjusted HR 1.39, 95% CI, 0.90-2.13) or MHO (adjusted HR 1.07, 95% CI, 0.51-2.22) had a tendency toward a higher risk of cancer. These associations were stronger in MHOW (adjusted HR 1.77, 95% CI, 1.09-2.86) or MHO (adjusted HR 1.39, 95% CI, 0.66-2.93) participants younger than 65 years. CONCLUSIONS: This study was the first to investigate the impact of metabolic obesity phenotype on the incidence of cancer in the Taiwanese population. Even in the absence of metabolic abnormalities, overweight, and obesity may cause a modest increase in the risk of developing cancer.

Development of Machine Learning Models for Prediction of Osteoporosis from Clinical Health Examination Data.

Osteoporosis is treatable but often overlooked in clinical practice. We aimed to construct prediction models with machine learning algorithms to serve as screening tools for osteoporosis in adults over fifty years old. Additionally, we also compared the performance of newly developed models with traditional prediction models. Data were acquired from community-dwelling participants enrolled in health checkup programs at a medical center in Taiwan. A total of 3053 men and 2929 women were included. Models were constructed for men and women separately with artificial neural network (ANN), support vector machine (SVM), random forest (RF), k-nearest neighbor (KNN), and logistic regression (LoR) to predict the presence of osteoporosis. Area under receiver operating characteristic curve (AUROC) was used to compare the performance of the models. We achieved AUROC of 0.837, 0.840, 0.843, 0.821, 0.827 in men, and 0.781, 0.807, 0.811, 0.767, 0.772 in women, for ANN, SVM, RF, KNN, and LoR models, respectively. The ANN, SVM, RF, and LoR models in men, and the ANN, SVM, and RF models in women performed significantly better than the traditional Osteoporosis Self-Assessment Tool for Asians (OSTA) model. We have demonstrated that machine learning algorithms improve the performance of screening for osteoporosis. By incorporating the models in clinical practice, patients could potentially benefit from earlier diagnosis and treatment of osteoporosis.

Development of Machine Learning Models for Prediction of Smoking Cessation Outcome.

Predictors for success in smoking cessation have been studied, but a prediction model capable of providing a success rate for each patient attempting to quit smoking is still lacking. The aim of this study is to develop prediction models using machine learning algorithms to predict the outcome of smoking cessation. Data was acquired from patients underwent smoking cessation program at one medical center in Northern Taiwan. A total of 4875 enrollments fulfilled our inclusion criteria. Models with artificial neural network (ANN), support vector machine (SVM), random forest (RF), logistic regression (LoR), k-nearest neighbor (KNN), classification and regression tree (CART), and naïve Bayes (NB) were trained to predict the final smoking status of the patients in a six-month period. Sensitivity, specificity, accuracy, and area under receiver operating characteristic (ROC) curve (AUC or ROC value) were used to determine the performance of the models. We adopted the ANN model which reached a slightly better performance, with a sensitivity of 0.704, a specificity of 0.567, an accuracy of 0.640, and an ROC value of 0.660 (95% confidence interval (CI): 0.617-0.702) for prediction in smoking cessation outcome. A predictive model for smoking cessation was constructed. The model could aid in providing the predicted success rate for all smokers. It also had the potential to achieve personalized and precision medicine for treatment of smoking cessation.

Association of baseline as well as change in lipid levels with the risk of cardiovascular diseases and all-cause deaths.

High baseline atherogenic lipid level has been an established risk factor for the risk of cardiovascular events. Evidence concerning the role of lipid changes in cardiovascular and death risks are inconclusive. A cohort study was conducted based on the Taiwanese Survey on Hypertension, Hyperglycemia, and Hyperlipidemia (n = 4072, mean 44.8 years, 53.5% women) assessing lipid levels of the participants repeatedly measured in 2002 and 2007. Combined baseline and changes in lipid levels were classified into four groups-stable or decreasing lipid changes and increasing lipid changes with low- and high-risk baseline lipid levels. Developing cardiovascular events (n = 225) and all-cause deaths (n = 345) were ascertained during a median follow-up of 13.3 years. Participants with increasing and higher total cholesterol level were more likely to develop cardiovascular risks. Similar patterns for cardiovascular events were observed across other lipid profile changes. However, participants with increasing total cholesterol, LDL-C, and non-high-density lipoprotein cholesterol (non-HDL-C) levels were more likely to be at a lower risk for all-cause deaths. Baseline and changes in total cholesterol, triglycerides, and LDL-C levels were positively associated with the risk of cardiovascular diseases, whereas baseline and changes in total cholesterol and LDL-C and non-HDL-C levels were inversely associated with all-cause deaths.

Improvement in Cardiometabolic Risk Factors During Smoking Cessation Treatment in Patients with Type 2 Diabetes: A Retrospective Cohort Study.

PURPOSE: Smoking cessation reduces morbidity and mortality of cardiovascular diseases. The purpose of this study was to evaluate the effect during smoking cessation treatment on glycemic control and cardiometabolic risk factors, including blood pressure and lipid levels, in patients with type 2 diabetes. PATIENTS AND METHODS: This retrospective cohort study included patients with type 2 diabetes who participated in a smoking cessation program, which comprised health education and medication prescription at an outpatient clinic in combination with a 3-month follow-up by phone. Data on patient background characteristics, cardiometabolic factors, smoking status, body weight, and body mass index before and after the program were collected for analysis. RESULTS: The analysis included 241 participants with an average age of 58.6 ± 10.6 years. The rate of successful cessation at three months was 34.0%. Compared with the baseline levels, there were significant decreases in the levels of fasting plasma glucose (10.0 ± 46.8 mg/dL, P = 0.001), HbA1c (0.3 ± 1.4%, P = 0.004), systolic blood pressure (4.6 ± 17.5 mmHg, P < 0.001), diastolic blood pressure (2.9 ± 11.3 mmHg, P < 0.001), and total cholesterol (7.9 ± 42.8 mg/dL, P = 0.020) after participation in the smoking cessation program while there was no significant difference in body weight (0.1 ± 1.2 kg, P = 0.444). After adjustment for covariates, the decreases in HbA1c and total cholesterol levels were significantly better in younger participants and higher baseline nicotine dependence scores were associated with decreases in the levels of blood pressure, fasting plasma glucose, and triglycerides. However, the decrease in smoking amount was not associated with the changes in cardiometabolic factors. CONCLUSION: Participation in a smoking cessation program was associated with improvements in glycemic control and cardiometabolic risk factors in patients with type 2 diabetes. The observed improvements were associated with participation in the program but not with the decrease in smoking amount.

The Association Between Different Obesity Phenotypes and Liver Fibrosis Scores in Elderly Individuals with Fatty Liver in Taiwan.

PURPOSE: To examine the association between different phenotypes of obesity or metabolic syndromes and liver fibrosis score in a Taiwanese elderly population with fatty liver. PATIENTS AND METHODS: This cross-sectional study included 1817 participants aged ≥65 years with fatty liver diagnosed by sonography. We used ethnicity-specific criteria for body mass index and metabolic syndrome, and to define obesity phenotypes as metabolically healthy non-obese (MHNO), metabolically unhealthy non-obese (MUNO), metabolically healthy obese (MHO), and metabolically unhealthy obese (MUO). Correlated fibrosis severity was calculated using the nonalcoholic fatty liver disease (NAFLD) fibrosis score (NFS) and Fibrosis-4 (FIB-4). Fibrosis severity was divided into two categories according to NFS (no-to-mild fibrosis and advanced fibrosis, defined as NFS ≤ 0.676 and >0.676, respectively) and FIB-4 score (no-to-mild fibrosis and advanced fibrosis, defined as FIB-4 score ≤2.67 and >2.67, respectively). RESULTS: Compared with that in the MHNO group, the associated risk (odds ratio [OR], 95% confidence interval [CI]) of advanced fibrosis by NFS was 2.43 (1.50-3.93), 2.35 (1.25-4.41), and 6.11 (3.90-9.59), whereas that of advanced fibrosis by FIB-4 score was 1.34 (0.83-2.18), 2.37 (1.36-4.13), and 1.38 (0.82-2.31) in the MUNO, MHO, and MUO groups, respectively. CONCLUSION: Both metabolic syndrome and obesity were positively associated with more advanced fibrosis according to NFS. The detrimental effect of obesity appears to be more than metabolic abnormalities per se in the elderly with more advanced fibrosis severity according to the FIB-4 score.

Prevalence of Postpartum Depression and Associated Predictors Among Taiwanese Women in a Mother-Child Friendly Hospital.

Postpartum depression (PPD) is a highly prevalent disorder characterized by increased vulnerability to morbidity and mortality. This study explores the predictors and prevalence of PPD among Taiwanese women. A total of 914 postpartum women was recruited from a mother-child-friendly hospital. These participants completed self-report questionnaires at 1 month postpartum, and their medical records were also examined for relevant information. Multivariate analyses were used to identify independent predictors of PPD. At 1 month postpartum, 18.8% had developed PPD. Multivariate analysis showed that the odds ratios for PPD were significantly lower among women who were breastfeeding, had more family support, and attended a postpartum care center, while those who were younger, primiparous, and who experienced gestational complications had a higher prevalence of PPD. Meanwhile, structural equation modeling showed that family support from partners, parents, and parents-in-law diminished depression scores through direct effects.

Association between metabolically healthy obesity/overweight and cardiovascular disease risk: A representative cohort study in Taiwan.

OBJECTIVES: To investigate the relationship between metabolically healthy obesity and cardiovascular disease risk in Taiwanese individuals. METHODS: Taiwanese individuals were recruited from a nationwide, representative community-based prospective cohort study and classified according to body mass index as follows: normal weight (18.5-23.9 kilogram (kg)/meter(m)2) and obesity/overweight (≥24 kg/m2). Participants without diabetes, hypertension, and hyperlipidemia and who did not meet the metabolic syndrome without waist circumference criteria were considered metabolically healthy. The study end points were cardiovascular disease morbidity and mortality. Multivariable adjusted hazard ratios and 95% confidence intervals were obtained from a Cox regression analysis. RESULTS: Among 5 358 subjects (mean [standard deviation] age, 44.5 [15.3] years; women, 48.2%), 1 479 were metabolically healthy with normal weight and 491 were metabolically healthy with obesity. The prevalence of metabolically healthy obesity/overweight was 8.6% in the Taiwanese general population, which included individuals who were >20 years old, not pregnant, and did not have CVD (n = 5,719). In the median follow-up period of 13.7 years, 439 cardiovascular disease events occurred overall and 24 in the metabolically healthy obesity group. Compared with the reference group, the metabolically healthy obesity group had a significantly higher cardiovascular disease risk (adjusted hazard ratio: 1.74, 95% confidence interval: 1.02, 2.99). CONCLUSIONS: Individuals with metabolically healthy obesity have a higher risk of cardiovascular disease and require aggressive body weight control for cardiovascular disease control.

Relationship Between Gallstone Disease and Cardiometabolic Risk Factors in Elderly People with Non-Alcoholic Fatty Liver Disease.

BACKGROUND: The prevalence of gallstone disease (GSD) increases with age, and the elderly have a much higher mortality risk and incidence of surgical comorbidities. The aim of this study was to explore the relationship between GSD and cardiometabolic risk factors in elderly people with non-alcoholic fatty liver disease (NAFLD). METHODS: In this cross-sectional study, we analyzed the data of elderly people who underwent annual health check-ups at a Northern Taiwan health examination center. These data were collected from physical examination, blood tests, abdominal ultrasonography, and medical histories. We excluded those with hepatitis B or C infections, heavy alcohol consumption, or cholecystectomy. RESULTS: The analysis included 3,037 participants with a mean age of 73.6±6.0 years. Over 70% were overweight or obese, and the overall prevalence of GSD was 17.7%. In our univariate analysis, GSD was positively correlated with age, body mass index, metabolic syndrome, diabetes mellitus (DM), hypertension (HTN), and various metabolic factors (fasting plasma glucose [FPG], triglyceride, uric acid, and high-density lipoprotein cholesterol [HDL-C] levels). After adjustment for age, gender, and body mass index, metabolic syndrome showed a positive association with GSD (odds ratio [OR] 1.31 [95% confidence interval [CI], 1.05-1.64]; P=0.020). Specific components of metabolic syndrome that increased the risk for GSD in NAFLD elderly include lower levels of HDL-C (OR 1.35 [95% CI, 1.10-1.66]; P<0.001) and elevated FPG (OR 1.36 [95% CI, 1.10-1.69]; P<0.001). CONCLUSION: Our study concluded that GSD is significantly associated with metabolic syndrome in elderly people with NAFLD. Reduced HDL-C and elevated FPG both heighten the risk of developing GSD. Therefore, to lower the risk of GSD in NAFLD patients, their FPG levels and HDL-C levels must be regularly followed-up, and these patients should be educated about the symptoms of GSD if they meet the criteria for metabolic syndrome.

Nasogastric tube feeding versus assisted hand feeding in-home healthcare older adults with severe dementia in Taiwan: a prognosis comparison.

BACKGROUND: All individuals with severe dementia should be offered careful hand feeding. However, under certain circumstances, people with severe dementia have a feeding tube placed. In Taiwan, tube feeding rate in demented older home care residents is increasing; however, the benefits of tube feeding in this population remain unknown. We compared the clinical prognosis and mortality of older patients with severe dementia receiving nasogastric tube feeding (NGF) or assisted hand feeding (AHF). METHODS: Data from the in-home healthcare system between January 1 and December 31, 2017 were analyzed to identify 169 participants over 60 years of age in this retrospective longitudinal study. All subjects with severe dementia and complete functional dependence suffered from difficulty in oral intake and required either AHF or NGF. Data were collected from both groups to analyze pneumonia, hospitalization, and mortality rates. RESULTS: A total of 169 subjects (56 males and 113 females, aged 85.9 ± 7.5 years) were analyzed. 39 required AHF and 130 NGF. All subjects were bedridden; 129 (76%) showed Barthel index < 10. Pneumonia risk was higher in the NGF group (48%) than in the AHF group (26%, p = 0.015). After adjusting for multiple factors in the regression model, the risk of pneumonia was not significantly higher in the NGF group compared with the AHF group. One-year mortality rates in the AHF and NGF groups were 8 and 15%, respectively, and no significant difference was observed after adjustment with logistic regression (aOR = 2.38; 95% CI, 0.58-9.70). There were no significant differences in hospitalization rate and duration. CONCLUSIONS: For older patients with dementia requiring in-home healthcare, NGF is not associated with a significantly lower risk of pneumonia than AHF. Additionally, neither mortality nor hospitalization rates decreased with NGF. On the contrary, a nonsignificant trend of increased risk of pneumonia was observed in NGF group. Therefore, the benefits of NGF are debatable in older patients with severe dementia requiring in-home healthcare. Continued careful hand feeding could be an alternative to NG feeding in patients with severe dementia. Furthermore, large-scale studies on in-home healthcare would be required to support these results.

Factors associated with hospitalization for community-acquired pneumonia in home health care patients in Taiwan.

BACKGROUND: Pneumonia is a leading cause of hospitalization and death worldwide. However, studies focusing on risk factors of community-acquired pneumonia (CAP) in the home health care (HHC) population remain scarce. AIMS: This study aimed to evaluate risk factors associated with hospitalization for CAP among HHC patients in Taiwan. METHODS: This retrospective cross-sectional study extracted data from patients' electronic medical records between 1 January 2017 and 31 December 2017. Multiple logistic regression analyses were performed to explore factors associated with hospitalization for CAP. RESULTS: In total, 598 patients (men/women: 236/362) were included. One hundred ninety-nine patients (33.28%) were hospitalized for pneumonia. Inpatients showed a higher proportion of the following: male sex, functional impairment, hypoalbuminemia, anemia, nasogastric tube use, excessive polypharmacy, stroke, dementia, heart failure, chronic respiratory disease, and chronic liver disease. Furthermore, nasogastric tube use (odds ratio [OR] 3.01, 95% confidence interval [CI] 1.88-4.82), anemia (OR 2.37, 95% CI 1.48-3.80), male sex (OR 2.14, 95% CI 1.43-3.20), chronic respiratory disease (OR 2.09, 95% CI 1.33-3.30), dementia (OR 1.94, 95% CI 1.27-2.97), heart failure (OR 1.69, 95% CI 1.11-2.56), and hypoalbuminemia (OR 1.57, 95% CI 1.03-2.40) significantly increased the risk of hospitalization for CAP. CONCLUSIONS: Our results revealed risk factors associated with hospitalization for CAP in HHC patients. In addition to chronic diseases, malnutrition is an important risk factor. Caregivers should make prompt assessments and take preventive measures for such patients.

Factors Correlated with Smoking Cessation Success in Older Adults: A Retrospective Cohort Study in Taiwan.

Smoking cessation in the elderly is very important. This study aims to explore the success rate of smoking cessation in the elderly and the factors that predict the success of smoking cessation. We collected data from smokers ≥60 years who visited a medical center in Taiwan during 2017. All patients were prescribed either varenicline or nicotine replacement therapy (NRT) for smoking cessation. The participants were asked about their smoking status after treatment. In total, 129 participants were enrolled. The three- or six-month point abstinence rate was 48.1%. No significant difference was found among baseline characteristics (including age, gender, underlying diseases, smoking duration, daily consumption amount of cigarette, carbon monoxide concentration, Fagerström test for nicotine dependence scores, and treatment method) between quitters and non-quitters, except for the type of medication used. The proportion of quitters using varenicline was significantly higher than that of non-quitters. Multivariate regression analyses showed that the patients who received varenicline were 3.22 times more likely to quit smoking than those who received NRT. Therefore, we suggest that varenicline use may help in smoking cessation in older adults, compared to NRT. Other baseline characteristics may not affect the success rate of smoking cessation in this population.

Comparisons of early and delayed abstainers and its effects on long-term smoking cessation in Taiwan.

BACKGROUND: Different quitting trajectories may reflect the stages of behavior change among smokers. The nature of quitting patterns could help the public health sector to design appropriate cessation plans. This study compared demographic, health, and behavioral characteristics and the effects of long-term abstinence between early and delayed abstainers. METHODS: We retrospectively sampled 142 abstainers from smoking cessation clinic participants for a study conducted from January 1 to December 31, 2017. Baseline information was obtained at the first clinic visit, and phone interviews were conducted 2 weeks, 3 months, and 6 months later. The 7-day point prevalence abstinence was employed for measuring their quitting status. We defined early abstainers as those who attained abstinence by second week and delayed abstainers as those who had done so by the third month. We compared their characteristics and 6-month quit rates and examined potential predictors between the two quitting patterns. RESULTS: One hundred forty-two participants were included with 87 (61.3%) early abstainers and 55 (38.7%) delayed abstainers. Early abstainers were older with more comorbidities, presenting longer smoking duration, higher exhaled carbon monoxide (CO) concentration and Fagerstrom Test of Cigarette Dependence (FTCD) scores. The 6-month abstinence rate was high for both quitting patterns with no significant difference (83.9% versus 81.8%, p = 0.7462). Higher FTCD scores and exhaled CO concentration were potential predictors for early abstainers with adjusted odds ratio 1.16 (95% confidence interval [CI], 1.01-1.33) and 1.04 (95% CI, 1.00-1.08) respectively. CONCLUSIONS: Our results associated early abstainers with older age, more comorbidities and higher nicotine dependence. Both groups achieved good long-term abstinence maintenance. Although early abstainers may achieve earlier reduction of health risks, smokers could still benefit from long-term abstinence if they can manage to quit smoking even at later phases of cessation courses.