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.

An Online Rail Track Fastener Classification System Based on YOLO Models.

In order to save manpower on rail track inspection, computer vision-based methodologies are developed. We propose utilizing the YOLOv4-Tiny neural network to identify track defects in real time. There are ten defects covering fasteners, rail surfaces, and sleepers from the upward and six defects about the rail waist from the sideward. The proposed real-time inspection system includes a high-performance notebook, two sports cameras, and three parallel processes. The hardware is mounted on a flat cart running at 30 km/h. The inspection results about the abnormal track components could be queried by defective type, time, and the rail hectometer stake. In the experiments, data augmentation by a Cycle Generative Adversarial Network (GAN) is used to increase the dataset. The number of images is 3800 on the upward and 967 on the sideward. Five object detection neural network models-YOLOv4, YOLOv4-Tiny, YOLOX-Tiny, SSD512, and SSD300-were tested. The YOLOv4-Tiny model with 150 FPS is selected as the recognition kernel, as it achieved 91.7%, 92%, and 91% for the mAP, precision, and recall of the defective track components from the upward, respectively. The mAP, precision, and recall of the defective track components from the sideward are 99.16%, 96%, and 94%, respectively.

Effectiveness of innovative instructional module for professional competence in health literacy in medical students.

BACKGROUND: Physicians should be equipped with professional competence in health literacy to communicate more effectively with patients with limited health literacy. However, the health literacy curriculum has not yet been refined globally, and is scarce in Taiwan's medical education. We implemented an innovative instructional module to attain professional competence in health literacy among medical students and investigated its effects. METHODS: We adopted a quasi-experimental design and recruited 204 fifth-year Taiwanese medical students between December 2019 and May 2020. Participants who worked as clerks at the Department of Family Medicine of three medical schools in northern Taiwan were assigned to the experimental group through convenience sampling. A total of 98 students received a three-hour innovative instruction, including medical simulation videos, role-playing, and board games. Both the experimental and control groups completed the online pre-test and mail-in post-test. A generalized estimating equation was applied to measure the effects of the intervention. RESULTS: There was a significant difference between the experimental and control groups in terms of professional competence in health literacy in all three aspects. In terms of knowledge, the experimental group improved 12% more than the control group (𝛽=0.12, 95% CI: 0.05 ~ 0.19, p = 0.001). In terms of attitude, the experimental group improved by an average of 0.27 more points per question than the control group (𝛽=0.27, 95% CI: 0.08 ~ 0.46, p = 0.007). As for skill, the experimental group improved by an average of 0.35 more points per question than the control group (𝛽=0.35, 95% CI: 0.14 ~ 0.55, p = 0.001). CONCLUSION: The proposed innovative instructional module significantly improved fifth-year medical students' professional competence in health literacy, which is expected to benefit their future medical practices.

Smoking Cessation Rate and Its Predictors among Heavy Smokers in a Smoking-Free Hospital in Taiwan.

Smoking poses critical risks for heart disease and cancers. Heavy smokers, defined as smoking more than 30 pack-year, are the most important target for smoking cessation. This study aimed to obtain the cessation rate and its predictors among heavy smokers. We collected data from heavy smokers who visited a smoking-free hospital in Taiwan during 2017. All patients were prescribed either varenicline or nicotine replacement therapy (NRT) for smoking cessation, and their smoking status was followed for six months. Successful smoking cessation was defined by self-reported no smoking over the preceding seven days (7-day point abstinence). In total, 280 participants with a mean aged of 53.5 years were enrolled, and 42.9% of participants successfully stopped smoking in 6 months. The results revealed that quitters were older, with hypertension, fewer daily cigarettes, and being prescribed with varenicline. Multiple logistic regressions analyses identified that fewer daily cigarettes and being prescribed with varenicline were predictors of successful smoking cessation. Therefore, we suggest that varenicline use may help heavy smokers in smoking cessation.

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.

Visceral adiposity index outperforms conventional anthropometric assessments as predictor of diabetes mellitus in elderly Chinese: a population-based study.

BACKGROUND: This study assessed the performance of visceral adiposity index and body shape index in predicting diabetes mellitus (DM) risk and compared their predictive ability to that of body mass index and waist circumference. METHODS: Among 8249 consecutive subjects who attended the Nationwide Health Check Up System for Senior Citizens (≥ 65 years) between 2008 and 2018, we examined the associations of several adiposity indices with DM risk and explored gender differences. RESULTS: Among all adiposity indicators, Chinese visceral adiposity index (CVAI) demonstrated the highest discriminatory ability for diabetes mellitus with area under receiver operating characteristic curves (AUC) of 0.65, 0.68, and 0.66 for men, women, and all participants, respectively, and optimal cut-offs set as 126.09 in men and 117.77 in women. Compared with body shape index (ABSI), both CVAI and VAI were strongly associated with baseline DM (adjusted OR: 4.85, 95% CI: 4.05-5.82 and 4.22, 95% CI: 3.53-5.05 for 4th vs 1st quartile groups by CVAI and VAI, P < 0.001), which was more pronounced in older adult women (Pinteraction < 0.05). Over a median of 5.25 years (IQR: 3.07-6.44 years) follow-up, Cox regression models showed higher predictive ability of CVAI and VAI compared to ABSI. Further, both CVAI and VAI independently predicted new-onset DM (adjusted HR: 1.29, 95% CI: 1.22-1.37 and 1.16, 95% CI: 1.11-1.21 by CVAI and VAI) and composite endpoint of new DM and death among those without baseline DM. CONCLUSIONS: Our population-based data demonstrated that Chinese visceral adiposity index may serve as a superior clinical indicator of diabetes when compared with conventional anthropometric indices among older adult Chinese, especially in women.

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.

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.

Burnout and metabolic syndrome among different departments of medical center nurses in Taiwan-Cross-sectional study and biomarker research.

OBJECTIVES: The cross-sectional study aimed to analyze the association between burnout, work-related factors, and metabolic syndrome (Mets) in nurses from several departments of a tertiary hospital in Taiwan. Exploring biomarkers could provide for prevention. METHODS: Demographic data were obtained through a written questionnaire and include the following information: gender, age, education level, psychosocial and work situations, such as departments, working hours, work shift, depression, and sleep time. Burnout was evaluated according to the Chinese Burnout inventory, Mets was evaluated according to the criteria of the National Cholesterol Education Program of Taiwan-Treatment Panel for Adults III (NCEP-ATP III). RESULTS: A total of 1758 nurses participated with a median age of 35.2 years. The prevalence of burnout and Mets was 6.4% and 13.84%, respectively. The results showed that burnout induced higher risk of Mets, odds ratio (OR) 1.70 (95% confidence interval, 1.04-3.05). Other factors, such as out-patient nurses, seniority (4-10 and >10 years), working hours (51-59 h/wk), nigh shift, Brief Symptom Rating Scale-5 (score 10-14 and ≧15), poor self-rated health status, and inadequate sleep time, led to higher risk of Mets. Biomarkers research showed that Glycated hemoglobin (Hba1c) was significantly associated with burnout nurses (OR = 24.72, P < .001), but thyroid-stimulating hormone and free thyroxin were not. CONCLUSIONS: Results suggested positive associations between burnout and Mets in nurses. For nurses with higher seniority, long hours of work, night shifts, poor physical and mental conditions, and poor lifestyle habits in different departments, strategies are needed to prevent burnout and Mets.

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.

Data on the acceptance of a tourism navigation system applying structuring equation modeling analysis.

The data presented in this article relate to the acceptance of an online tourism search technology by students from a Science and Technology University in Taiwan. The data were collected using quasi-experiment research design and a survey questionnaire. A structural equation modeling analysis was employed for data analysis using AMOS statistical software. For further study findings and interpretation, please refer to the research article entitled "Examining the Usability of an Online Virtual Tour-Guiding System for Cultural Tourism Education" (Chiao et al., 2018).

Factors Correlated with Success Rate of Outpatient Smoking Cessation Services in Taiwan.

Smoking is the leading cause of preventable death. The purpose of this study was to explore the patient’s and physician’s factors that are correlated with smoking cessation success rate. A total of 877 smokers who visited the outpatient smoking cessation services at a medical center in Northern Taiwan were recruited for the study. Phone interviews were carried out six months after the initial visit to evaluate the success rate of smoking cessation. The result showed that the abstinence rate at six-month was 37.7%. By the multivariate logistic regression model, the predictive factors of abstinence were smokers who had a lower Fagerström test for cigarette dependence (FTCD), lower exhaled carbon monoxide (CO) concentration, or who smoked less than 20 cigarettes per day at the first visit. Smokers who had more than one smoking cessation outpatient visit or seen by physicians who, on average, delivered more than one smoking cessation consultations per week also led to a higher success rate. Therefore, we suggest that physicians should put more efforts and encourage follow-up visits for some smokers by knowing their characteristics at the first visit. Furthermore, physicians with more experience in smoking cessation consultation seemed to be more likely to help patients to quit smoking successfully.

Positive Association of Metabolic Syndrome with a Single Nucleotide Polymorphism of Syndecan-3 (rs2282440) in the Taiwanese Population.

BACKGROUND/PURPOSE: Metabolic syndrome (MetS) poses a major public health burden on the general population worldwide. Syndecan-3 (SDC3), a heparin sulfate proteoglycan, had been found by previous studies to be linked with energy balance and obesity, but its association with MetS is not known. The objective of this study is to investigate whether SDC3 polymorphism (rs2282440) is associated with MetS in the Taiwanese population. METHODS: Genotypes of SDC3 polymorphism (rs2282440) were analyzed in 545 Taiwanese adult subjects, of which 154 subjects had MetS. RESULTS: Subjects with SDC3 rs2282440 TT homozygote had higher frequency of MetS than those with CC or CT genotype (p = 0.0217). SDC3 rs2282440 TT homozygote had a 1.96-fold risk of being obese and 1.8-fold risk of having MetS (with CC genotype as reference). As for the individual components of MetS, subjects with SDC3 rs2282440 TT homozygote were more likely to have large waist circumference and low high-density lipoprotein cholesterol (OR = 1.75 and OR = 1.84, resp.). CONCLUSION: SDC3 rs2282440 polymorphism is positively associated with MetS in the Taiwanese population. Further investigation is needed to see if this association is mediated by mere adiposity or SDC3 polymorphism is also linked with other components of MetS such as lipid metabolism.

Study of seven single-nucleotide polymorphisms identified in East Asians for association with obesity in a Taiwanese population.

OBJECTIVE: This study aimed to examine single-nucleotide polymorphisms (SNPs) of seven previously reported obesity genes in East Asians and to analyse their associations and synergistic effects on obesity in the Taiwanese population. DESIGN: Cross-sectional study. SETTING: One medical centre in northern Taiwan. PARTICIPANTS: A total of 323 non-obese and 264 obese participants were recruited. The threshold for obesity in this study was a body mass index of ≥27 kg/m(2), as defined by the Ministry of Health and Welfare in Taiwan. The study was performed with the approval of the institutional review board of MacKay Memorial Hospital, Taipei, Taiwan (application number 12MMHIS106). OUTCOME MEASURES: We analysed the genotype distributions of seven SNPs localising to the PPARγ2, GNB3, SDC3, ADRB2, FTO, PPARγ and ESR1 genes in obese and non-obese groups and then paired obesity-related SNPs to determine if they have synergistic effects on obesity. RESULTS: Analysis of the genotype distributions in obese and non-obese groups revealed only a significant positive correlation between an SNP in rs2282440-syndecan 3 (SDC3) and obesity in the Taiwanese population (p=0.006). In addition, the T/T genotype of SDC3 was significantly associated with a larger waist and hip circumference, higher body fat percentage and lower high-density lipoprotein cholesterol. Moreover, the combination of the rs2282440-SDC3T/T genotype with the rs1801282-peroxisome proliferator-activated receptor-gamma2 gene (PPARγ2) G carrier genotype was strongly associated with obesity (OR=6.77). CONCLUSIONS: We found that the rs2282440-SDC3T/T genotype is associated with obesity in the Taiwanese population. Furthermore, there is a synergistic effect of the high-risk alleles of the SDC3 and PPARγ2 genes on the obese phenotype in the Taiwanese population. TRIAL REGISTRATION NUMBER: 12MMHIS106; Results.

Neuro-fuzzy technology as a predictor of parathyroid hormone level in hemodialysis patients.

Measuring the plasma parathyroid hormone (PTH) concentration is crucial to evaluate renal bone disease in patients with renal failure. Although frequent measurement is needed to avoid inadequate prescription of phosphate binders and vitamin D preparations, artificial intelligence can repeatedly perform the forecasting tasks and may be a satisfactory substitute for laboratory tests. Neuro-fuzzy technology represents a promising forecasting application in clinical medicine. We therefore constructed a coactive neuro-fuzzy inference system (CANFIS) to predict plasma PTH concentrations in hemodialysis patients. The CANFIS was constructed with clinical parameters (patient age, plasma albumin, calcium, phosphorus, alkaline phosphatase, and calcium-phosphorus product) from a cohort of hemodialysis patients, and plasma PTH concentration measured by radioimmunoassay (RIA) was the supervised outcome. The accuracy of the CANFIS was prospectively compared with RIA in another hospital. Plasma PTH concentrations measured by RIA and predicted by CANFIS were 179.04 +/- 38.18 ng/l and 179.34 +/- 37.76 ng/l, respectively (p = 0.15). The CANFIS was able to precisely estimate plasma PTH concentrations in hemodialysis patients. These results suggest that the neuro-fuzzy technology, based on limited clinical parameters, is an excellent alternative to RIA for accurately predicting plasma PTH concentration in hemodialysis patients.

Prediction of target range of intact parathyroid hormone in hemodialysis patients with artificial neural network.

The application of artificial neural network (ANN) to predict outcome and explore potential relationships among clinical data is increasing being used in many clinical scenarios. The aim of this study was to validate whether an ANN is a useful tool for predicting the target range of plasma intact parathyroid hormone (iPTH) concentration in hemodialysis patients. An ANN was constructed with input variables collected retrospectively from an internal validation group (n = 129) of hemodialysis patients. Plasma iPTH was the dichotomous outcome variable, either target group (150 ng/L300 ng/L). After internal validation, the ANN was prospectively tested in an external validation group (n = 32) of hemodialysis patients. The final ANN was a multilayer perceptron network with six predictors including age, diabetes, hypertension, and blood biochemistries (hemoglobin, albumin, calcium). The externally validated ANN provided excellent discrimination as appraised by area under the receiver operating characteristic curve (0.83 +/- 0.11, p = 0.003). The Hosmer-Lemeshow statistic was 5.02 (p= 0.08 > 0.05) which represented a good-fit calibration. These results suggest that an ANN, which is based on limited clinical data, is able to accurately forecast the target range of plasma iPTH concentration in hemodialysis patients.

Acute hyperkalemic paralysis in a uremic patient.

Hyperkalemia is a less-recognized life-threatening cause of paralysis. We describe a 38-year-old uremic man on regular hemodialysis (HD) without interruption who suffered from muscle weakness progressing to ascending symmetric paralysis, and inability to masticate. Physical examination revealed flaccid paralysis with areflexia of the four limbs. Computed tomography of the brain and cervical spine did not demonstrate any organic lesions. Laboratory investigations revealed serum K+ 8.1 mmol/L, urea nitrogen 32 mmol/L, creatinine 919 micromol/L. Of note, electrocardiography (ECG) did not show typical features of hyperkalemia. Emergent HD with low K+ dialysate (1.0 mmol/L) rapidly normalized serum K+ (4.7 mmol/L) and reversed all neuromuscular symptoms within one hour. Upon reviewing his food and medication history, he admitted drinking 750 ml of raw coconut juice per day (K+ concentration 44.3 mmol/L) to quench his thirst for three consecutive days. Hyperkalemia should be born in mind in the differential diagnosis of acute paralysis despite no ECG changes. Hidden sources of K+ intake, such as coconut juice, should not be overlooked, especially in patients with impaired renal function.