Heat-related illness and dementia: a study integrating epidemiological and experimental evidence.

BACKGROUND: Heat-related illness (HRI) is commonly considered an acute condition, and its potential long-term consequences are not well understood. We conducted a population-based cohort study and an animal experiment to evaluate whether HRI is associated with dementia later in life. METHODS: The Taiwan National Health Insurance Research Database was used in the epidemiological study. We identified newly diagnosed HRI patients between 2001 and 2015, but excluded those with any pre-existing dementia, as the study cohort. Through matching by age, sex, and the index date with the study cohort, we selected individuals without HRI and without any pre-existing dementia as a comparison cohort at a 1:4 ratio. We followed each cohort member until the end of 2018 and compared the risk between the two cohorts using Cox proportional hazards regression models. In the animal experiment, we used a rat model to assess cognitive functions and the histopathological changes in the hippocampus after a heat stroke event. RESULTS: In the epidemiological study, the study cohort consisted of 70,721 HRI patients and the comparison cohort consisted of 282,884 individuals without HRI. After adjusting for potential confounders, the HRI patients had a higher risk of dementia (adjusted hazard ratio [AHR] = 1.24; 95% confidence interval [CI]: 1.19-1.29). Patients with heat stroke had a higher risk of dementia compared with individuals without HRI (AHR = 1.26; 95% CI: 1.18-1.34). In the animal experiment, we found cognitive dysfunction evidenced by animal behavioral tests and observed remarkable neuronal damage, degeneration, apoptosis, and amyloid plaque deposition in the hippocampus after a heat stroke event. CONCLUSIONS: Our epidemiological study indicated that HRI elevated the risk of dementia. This finding was substantiated by the histopathological features observed in the hippocampus, along with the cognitive impairments detected, in the experimental heat stroke rat model.

Personalized prediction of intradialytic hypotension in clinical practice: Development and evaluation of a novel AI dashboard incorporating risk factors from previous and current dialysis sessions.

BACKGROUND: Intradialytic hypotension (IDH) is one of the most common and critical complications of hemodialysis. Despite many proven factors associated with IDH, accurately predicting it before it occurs for individual patients during dialysis sessions remains a challenge. PURPOSE: To establish artificial intelligence (AI) predictive models for IDH, which consider risk factors from previous and ongoing dialysis to optimize model performance. We then implement a novel digital dashboard with the best model for continuous monitoring of patients' status undergoing hemodialysis. The AI dashboard can display the real-time probability of IDH for each patient in the hemodialysis center providing an objective reference for care members for monitoring IDH and treating it in advance. METHODS: Eight machine learning (ML) algorithms, including Logistic Regression (LR), Random Forest (RF), Support Vector Machine (SVM), K Nearest Neighbor (KNN), Light Gradient Boosting Machine (LightGBM), Multilayer Perception (MLP), eXtreme Gradient Boosting (XGBoost), and NaiveBayes, were used to establish the predictive model of IDH to determine if the patient will acquire IDH within 60 min. In addition to real-time features, we incorporated several features sourced from previous dialysis sessions to improve the model's performance. The electronic medical records of patients who had undergone hemodialysis at Chi Mei Medical Center between September 1, 2020 and December 31, 2020 were included in this research. Impact evaluation of AI assistance was conducted by IDH rate. RESULTS: The results showed that the XGBoost model had the best performance (accuracy: 0.858, sensitivity: 0.858, specificity: 0.858, area under the curve: 0.936) and was chosen for AI dashboard implementation. The care members were delighted with the dashboard providing real-time scientific probabilities for IDH risk and historic predictive records in a graphic style. Other valuable functions were appended in the dashboard as well. Impact evaluation indicated a significant decrease in IDH rate after the application of AI assistance. CONCLUSION: This AI dashboard provides high-quality results in IDH risk prediction during hemodialysis. High-risk patients for IDH will be recognized 60 min earlier, promoting individualized preventive interventions as part of the treatment plan. Our approachis believed to promise an excellent way for IDH management.

Health-related quality of life by veterans RAND 12 and healthcare resource utilization in cancer patients with sleep disorders: insights from the Medical Expenditure Panel Survey.

PURPOSE: This study aims to investigate the joint effects of cancer and sleep disorders on the health-related quality of life (HRQoL), healthcare resource utilization, and expenditures among US adults. METHODS: Utilizing the 2018-2019 Medical Expenditure Panel Survey (MEPS) database, a sample of 25,274 participants was categorized into four groups based on cancer and sleep disorder status. HRQoL was assessed using the VR-12 questionnaire. Generalized linear model (GLM) with a log-linear regression model combined gamma distribution was applied for the analysis of healthcare expenditure data. RESULTS: Individuals with both cancer and sleep disorders (C+/S+) exhibited notably lower physical health (PCS) and mental health (MCS) scores-1.45 and 1.87 points lower, respectively. They also showed significantly increased clinic visits (2.12 times), outpatient visits (3.59 times), emergency visits (1.69 times), and total medical expenditures (2.08 times) compared to those without cancer or sleep disorders (C-/S-). In contrast, individuals with sleep disorders alone (C-/S+) had the highest number of prescription drug usage (2.26 times) and home health care days (1.76 times) compared to the reference group (C-/S-). CONCLUSIONS: Regardless of cancer presence, individuals with sleep disorders consistently reported compromised HRQoL. Furthermore, those with cancer and sleep disorders experienced heightened healthcare resource utilization, underscoring the considerable impact of sleep disorders on overall quality of life. IMPLICATIONS FOR CANCER SURVIVORS: The findings of this study address the importance of sleep disorders among cancer patients and their potential implications for cancer care. Healthcare professionals should prioritize screening, education, and tailored interventions to support sleep health in this population.

Risk of Atrial Fibrillation in Patients with Different Cancer Types in Taiwan.

Atrial fibrillation (AF) commonly occurs in approximately 2% of cancer patients, and the incidence of AF among cancer patients is greater than in the general population. This observational study presented the incidence risk of AF among cancer patients, including specific cancer types, using a population database. The Taiwan Cancer Registry was used to identify cancer patients between 2008 and 2017. The diagnosis of AF was based on the International Classification of Diseases codes (ICD-9-CM: 427.31 or ICD-10-CM: I48.0, I48.1, I48.2, and I48.91) in Taiwan national health insurance research datasets. The incidence of developing AF in the cancer population was calculated as the number of new-onset AF cases per person-year of follow-up during the study period. The overall incidence of AF among cancer patients was 50.99 per 100,000 person-years. Patients aged older than 65 years and males had higher AF incidence rates. Lung cancer males and esophageal cancer females showed the highest AF incidence risk (185.02 and 150.30 per 100,000 person-years, respectively). Our findings identified esophageal, lung, and gallbladder cancers as the top three cancers associated with a higher incidence of AF. Careful monitoring and management of patients with these cancers are crucial for early detection and intervention of AF.

Synergistic interaction of guanfacine or dexmedetomidine coadministered with lidocaine for cutaneous analgesia in rats.

BACKGROUND: This study examined the cutaneous analgesic effects of lidocaine co-injected with guanfacine and its comparison with dexmedetomidine. METHODS: Cutaneous analgesic effects are quantified through the blocking effects of the cutaneous trunci muscle reflex against skin pinpricks in rats. The dose-response curves of guanfacine, dexmedetomidine, and lidocaine were constructed and drug-drug interactions were analyzed by the ED50 isobologram. RESULTS: Subcutaneous injections of guanfacine, dexmedetomidine, and lidocaine produced dose-dependently nociceptive/sensory blockade. On the ED50 (50% effective dose) basis, the potency rankings of the drug are dexmedetomidine (0.09 [0.08-0.11] µmol/kg) > guanfacine (3.98 [2.96-5.34] µmol/kg) > lidocaine (25.40 [23.51-27.44] µmol/kg) (p < 0.01). On their equipotent doses (ED25, ED50, and ED75), the duration of sensory blockade induced by guanfacine or dexmedetomidine was longer than lidocaine's (p < 0.01). Both guanfacine and dexmedetomidine showed synergistic effects with lidocaine. CONCLUSIONS: We showed that guanfacine elicits dose-dependent cutaneous analgesia when administered subcutaneously. Lidocaine is less potent than guanfacine or dexmedetomidine. Both guanfacine and dexmedetomidine enhance the potency and duration of lidocaine. Better synergistic responses we are getting with guanfacine plus lidocaine.

Healthcare Utilization and Its Correlates in Comorbid Type 2 Diabetes Mellitus and Generalized Anxiety Disorder.

This study investigated the healthcare utilization and medical expenditure of type 2 diabetes mellitus (T2DM) patients with generalized anxiety disorder (GAD) and identified the associated factors. The healthcare utilization and expenditure of T2DM patients with (case group) and without (control group) GAD between 2002 and 2013 were examined using the population-based Taiwan National Health Insurance Research Database. Healthcare utilization included outpatient visits and hospitalization; health expenditure included outpatient, inpatient, and total medical expenditure. Moreover, nonpsychiatric healthcare utilization and medical expenditure were distinguished from total healthcare utilization and medical expenditure. The average healthcare utilization, including outpatient visits and hospitalization, was significantly higher for the case group than for the control group (total and nonpsychiatric). The results regarding differences in average outpatient expenditure (total and nonpsychiatric), inpatient expenditure (total and nonpsychiatric), and total expenditure (total and nonpsychiatric) between the case and control groups are inconsistent. Sex, age, income, comorbidities/complications, and the diabetes mellitus complication severity index were significantly associated with outpatient visits, medical expenditure, and hospitalization in the case group (total and nonpsychiatric). Greater knowledge of factors affecting healthcare utilization and expenditure in comorbid individuals may help healthcare providers intervene to improve patient management and possibly reduce the healthcare burden in the future.

Association between Sjögren syndrome, sociodemographic factors, comorbid conditions, and optic neuritis: a Taiwanese population-based study.

Purpose: Our study aimed to explore the correlation between Sjögren syndrome, sociodemographic factors, comorbid conditions, and optic neuritis. Methods: This retrospective, nationwide, population-based, matched case-control investigation involved 33,190 individuals diagnosed with optic neuritis, identified using the International Classification of Diseases, Ninth Revision, Clinical Modification codes 377.30 for optic neuritis or 377.32 for retrobulbar neuritis. Patient data were extracted from the Taiwan National Health Insurance Research Database. Demographic characteristics, the presence of Sjögren syndrome, and pre-existing comorbid conditions were analyzed using univariate logistic regression. Continuous variables were assessed with a paired t-test. Adjusted logistic regression was employed to compare the prognosis odds ratio (OR) of patients with optic neuritis to controls. Results: After adjusting for confounding variables, individuals with Sjögren syndrome exhibited a significantly higher likelihood of developing optic neuritis compared to controls (adjusted OR, 9.79; 95% confidence interval [CI], 7.28-12.98; p < 0.0001). Other conditions associated with increased odds of optic neuritis included rheumatoid arthritis, ankylosing spondylitis, multiple sclerosis, systemic lupus erythematosus, and granulomatous vasculitis (adjusted OR: 1.57, 95% CI: 1.33-1.86; adjusted OR: 2.02, 95% CI: 1.65-2.48; adjusted OR: 140.77, 95% CI: 35.02-565.85; adjusted OR: 2.38, 95% CI: 1.71-3.30; adjusted OR: 18.28, 95% CI: 2.21-151.45, respectively), as well as systemic infections such as human herpes viral infection and tuberculosis infection (adjusted OR: 1.50, 95% CI: 1.35-1.66; adjusted OR: 4.60, 95% CI: 3.81-5.56, respectively). Discussion: Our findings strongly support the existence of an association between Sjögren syndrome, rheumatoid arthritis, ankylosing spondylitis, multiple sclerosis, systemic lupus erythematosus, granulomatous vasculitis, human herpes viral infection, tuberculosis, and optic neuritis.

Determinants of cancer incidence and mortality among people with vitamin D deficiency: an epidemiology study using a real-world population database.

Introduction: This study aimed to investigate the determinants of cancer incidence and mortality in patients with vitamin D deficiency using a real-world population database. Methods: We utilized the International Diagnostic Classification Code (ICD9:268 / ICD10: E55) to define patients with vitamin D deficiency. Additionally, the Cox regression model was used to estimate overall mortality and identify potential factors contributing to mortality in cancer patients. Results: In 5242 patients with vitamin D deficiency, the development of new-onset cancer was 229 (4.37%) patients. Colon cancer was the most prevalent cancer type. After considering confounding factors, patients aged 50-65 and more than 65 indicated a 3.10-fold (95% C.I.: 2.12-4.51) and 4.55-fold (95% C.I.: 3.03-6.82) cancer incidence, respectively compared with those aged <50. Moreover, patients with comorbidities of diabetes mellitus (DM) (HR: 1.56; 95% C.I.: 1.01-2.41) and liver disease (HR: 1.62; 95% C.I.: 1.03-2.54) presented a higher cancer incidence rate than those without DM/ liver disease. In addition, vitamin D deficiency patients with cancer and dementia histories indicated a significantly higher mortality risk (HR: 4.04; 95% C.I.: 1.05- 15.56) than those without dementia. Conclusion: In conclusion, our study revealed that vitamin D deficiency patients with liver disease had an increased incidence of cancer, while those with dementia had an increased mortality rate among cancer patients.