Risk of Viral Infection in Patients Using Either Angiotensin-converting Enzyme Inhibitors or Angiotensin Receptor Blockers: A Nationwide Population-based Propensity Score Matching Study.

BACKGROUND: We hypothesized that renin-angiotensin system (RAS) blockers have systemic protective effects beyond the respiratory tract and could reduce the risk of viral infections. METHODS: We used the National Health Insurance Research Database and identified 2 study cohorts: the angiotensin receptor blocker (ARB) cohort and angiotensin-converting enzyme inhibitor (ACEI) cohort. Propensity score matching was applied at a 1:1 ratio by all associated variables to select 2 independent control cohorts for the ARB and ACEI cohorts. A Cox proportional hazards model was applied to assess the end outcome of viral infection. RESULTS: The number of ARB and ACEI users was 20 207 and 18 029, respectively. The median age of ARB users and nonusers was 53.7 and 53.8 years, respectively. The median follow-up duration of ARB users and nonusers was 7.96 and 7.08 years; the median follow-up duration of ACEI users and nonusers was 8.70 and 8.98 years, respectively. The incidence rates of viral infections in ARB users and nonusers were 4.95 and 8.59 per 1000 person-years, respectively, and ARB users had a lower risk of viral infection than nonusers (adjusted hazard ratio [aHR], 0.53 [95% confidence interval {CI}, .48-.58]). The incidence rates of viral infections in ACEI users and nonusers were 6.10 per 1000 person-years and 7.72 per 1000 person-years, respectively, and ACEI users had a lower risk of viral infection than nonusers (aHR, 0.81 [95% CI, .74-.88]). CONCLUSIONS: Hypertensive patients using either ARBs or ACEIs exhibit a lower risk of viral infection than nonusers.

Air pollutants and subsequent risk of chronic kidney disease and end-stage renal disease: A population-based cohort study.

Air pollutants have been reported to be a possible risk factor of chronic kidney disease (CKD). However, epidemiologic results regarding acidic gases and CKD have yet to be elucidated. We linked the Taiwan Air Quality Monitoring Database (TAQMD) to the Longitudinal Health Insurance Database. An observational cohort of 161,970 Taiwan citizens who had not been diagnosed with CKD was formed. The concentrations of air pollutant were classified into four levels based on quartile. Multivariable and univariable Cox proportional hazard regression models were used to assess the risk of developing CKD and end-stage renal disease (ESRD). Compared with Q1-level SO2, exposure to the Q4 level was at a 1.46-fold risk of developing CKD (95% confidence interval [CI] = 1.28-1.65) and 1.32-fold risk of ESRD (95% CI = 1.03-1.70). Compared with Q1-level NOx, exposure to the Q4 level was at a 1.39-fold higher risk of developing CKD (95% CI = 1.22-1.58) and 1.70-fold risk of ESRD (95% CI = 1.33-2.18). Compared with Q1-level NO, exposure to the Q4 level was at a 1.48-fold risk of CKD (95% CI = 1.30-1.68) and 1.54-fold risk of ESRD (95% CI = 1.20-1.98). Compared with Q1-level particles <2.5 µm (PM2.5), exposure to the Q4 level were at a 1.74-fold risk of CKD (95% CI = 1.53-1.98) and 1.69-fold risk of ESRD (95% CI = 1.32-2.16). Exposure to particulate and acidic gas air pollution was observed to be associated with an increased risk of CKD and ESRD.

Risk of Polycystic Ovary Syndrome in Women Exposed to Fine Air Pollutants and Acidic Gases: A Nationwide Cohort Analysis.

BACKGROUND: Air pollutants cause endocrine disorders and hormone disruption. The relationship between air pollutants and polycystic ovary syndrome (PCOS) must be carefully investigated using a nationwide cohort. METHODS: Data were extracted from two nationwide databases, namely Longitudinal Health Insurance Database and Taiwan Air Quality Monitoring Database, and analyzed. The study considered a range of data that began on 1 January 2000 and ended on 31 December 2013. Women diagnosed with PCOS were excluded. From the residential data, the study assessed the daily concentrations of sulfur dioxide (SO2), nitrogen oxides (NOx), nitrogen monoxide (NO), nitrogen dioxide (NO2), and PM2.5 the women were exposed to. A Cox proportional hazard regression model was applied to assess PCOS risk. RESULTS: In total, 91,803 women were enrolled in this study; of those women, 2072 developed PCOS after 12 years of follow-up. The mean daily concentrations of SO2, NOx, NO, NO2, and PM2.5 women were exposed to were 4.25 (±1.44) ppb, 20.41 (±6.65) ppb, 9.25 (±4.36) ppb, 20.99 (±3.33) ppb, and 30.85 (±6.16) µg/m3, respectively. Compared with the first-quartile levels of exposure, the fourth-quartile levels of exposure to SO2, NOx, NO, NO2, and PM2.5 increased PCOS risk by 10.31 times (95% CI = 8.35-12.7), 3.37 times (95% CI = 2.86-3.96), 4.18 times (95% CI = 3.57-4.89), 7.46 times (95% CI = 6.38-8.71), and 3.56 times (95% CI = 3.05-4.15), respectively. CONCLUSION: Women exposed to a high concentrations of air pollutants, namely SO2, NO, NO2, NOx, and PM2.5, had a high PCOS risk.

A fitting machine learning prediction model for short-term mortality following percutaneous catheterization intervention: a nationwide population-based study.

BACKGROUND: A suitable multivariate predictor for predicting mortality following percutaneous coronary intervention (PCI) remains undetermined. We used a nationwide database to construct mortality prediction models to find the appropriate model. METHODS: Data were analyzed from the Taiwan National Health Insurance Research Database (NHIRD) covering the period from 2004 to 2013. The study cohort was composed of 3,421 patients with acute myocardial infarction (AMI) diagnosis undergoing PCI. The dataset of enrolled patients was used to construct multivariate prediction models. Of these, 3,079 and 342 patients were included in the training and test groups, respectively. Each patient had 22 input features and 2 output features that represented mortality. This study implemented an artificial neural network model (ANN), a decision tree (DT), a linear discriminant analysis classifier (LDA), a logistic regression model (LR), a naïve Bayes classifier (NB), and a support vector machine (SVM) to predict post-PCI patient mortality. RESULTS: The DT model was found to be the most suitable in terms of performance and real-world applicability. The DT model achieved an area under receiving operating characteristic of 0.895 (95% confidence interval: 0.865-0.925), F1 of 0.969, precision of 0.971, and recall of 0.974. CONCLUSIONS: The DT model constructed using data from the NHIRD exhibited effective 30-day mortality prediction for patients with AMI following PCI.

Increasing risk of cataract in HCV patients receiving anti-HCV therapy: A nationwide cohort study.

PURPOSE: Hepatitis C virus (HCV) infection is associated with increased systemic oxidative stress, which leads to cardiovascular events, diabetes, and chronic kidney disease. Similarly, cataract is also associated with increased oxidative stress. The association between HCV infection and increased risk of cataract remains unclear. METHODS: A total of 11,652 HCV-infected patients and 46,608 age- and sex-matched non-HCV infected patients were identified during 2003-2011. All patient data were tracked until a diagnosis of cataract, death, or the end of 2011. Cumulative incidences and hazard ratios (HRs) were calculated. RESULTS: The mean follow-up durations were 5.29 and 5.86 years for the HCV and non-HCV cohorts, respectively. The overall incidence density rate for cataract was 1.36 times higher in the HCV cohort than in the non-HCV cohort (1.86 and 1.37 per 100 person-y, respectively). After adjusting for age, sex, comorbidities of diabetes, hypertension, hyperlipidemia, asthma, chronic obstructive pulmonary disease, coronary artery disease, and anxiety, patients with HCV infection had an increased risk of cataract compared with those without HCV infection [adjusted HR = 1.23, 95% confidence interval (CI) = 1.14-1.32]. HCV-infected patients receiving interferon-ribavirin therapy had a 1.83 times higher (95% CI = 1.40-2.38) risk of cataract than non-HCV infected patients did. CONCLUSION: HCV infection, even without the complication of cirrhosis, is associated with an increased risk of cataract, and this risk is higher in HCV-infected patients undergoing interferon-ribavirin therapy.

Association of inflammatory cytokines with mortality in peritoneal dialysis patients.

AIMS: Previous study on association between pro-inflammatory cytokines and mortality in PD population is limited. We aimed to investigate here. METHODS: Total 50 patients who underwent incident PD were enrolled in this study. We measured the titers of pro-inflammatory cytokines Interleukin-18(IL-18), Interleukin-6 (IL-6), and Interleukin-1ß (IL-1ß). Study outcomes were all-cause mortality, cardiovascular-related mortality, and infection-caused mortality. Cox-regression model was used. RESULTS: In this 7 year prospective study, IL-18 ≥ 804.3pg/ml, IL-6 ≥ 3.92 pg/ml, IL-1ß ≥ 0.86pg/ml, age ≥ 50 years-old, and existence of diabetes could be used as individual significant predictors for mortality in PD patients. Higher titers of IL-6 were associated with lower averaging albumin levels within 1st year of PD. Increasing numbers of these risk markers of mortality was associated with decreasing survival advantages (P = 0.001). CONCLUSION: Age ≥ 50 years-old, diabetes, and inflammatory cytokines profiles at the start of PD therapy could predict for 7-year mortality in PD population.