BACKGROUND: Although renin-angiotensin system (RAS) blockade is recommended for hypertensive patients with proteinuria, the effect of RAS blockade on Korean hypertensive patients has not been investigated. METHODS: Among individuals who underwent a National Health Examination between 2002 and 2003 in Korea, hypertensive patients with proteinuria (defined as a dipstick test result ≥2+) were enrolled in this study. We investigated the outcomes of two groups stratified by RAS blockade prescription (with RAS blockade vs. without RAS blockade). Moreover, Cox proportional hazard regression and Kaplan-Meier analyses were performed to examine the effects of RAS blockade on mortality and end-stage renal disease (ESRD). RESULTS: A total of 8,460 patients were enrolled in this study, of whom 6,236 (73.7%) were prescribed with RAS blockade. The mean follow-up period was 129 months. A total of 1,003 (11.9%) patients died, of whom 273 (3.2%) died of cardiovascular (CV) events. The Kaplan-Meier curves for all-cause or CV mortality showed that the survival probability was significantly higher in the RAS blockade group than in the non-RAS blockade group. Multivariate Cox analysis also revealed RAS blockade significantly reduced the all-cause and CV mortality rates by 39.1% and 33.7%, respectively, compared with non-RAS blockade, even after adjusting for age, sex, and comorbid diseases; however, ESRD was not affected. CONCLUSION In this study, we found that RAS blockade was significantly associated with a reduction in mortality but not in the incidence of ESRD. However, 26.3% of the enrolled patients did not use RAS blockade. Physicians need to consider the usefulness of RAS blockade in hypertensive patients with proteinuria.

Growing evidence suggests that environmental air pollution adversely affects kidney health. To date, the association between carbon monoxide (CO) and mortality in patients with end-stage renal disease (ESRD) has not been examined. Methods: Among 134,478 dialysis patients in the Korean ESRD cohort between 2001 and 2014, 8,130 deceased hemodialysis patients were enrolled, and data were analyzed using bidirectional, unidirectional, and time-stratified case-crossover design. We examined the association between short-term CO concentration and mortality in patients with ESRD. We used a two-pollutant model, adjusted for temperature as a climate factor and for nitrogen dioxide (NO2), sulfur dioxide (SO2), ozone (O3), and particulate matter less than 10 μm in diameter as air pollution variables other than CO. Results: Characteristics of the study population included age (66.2 ± 12.1 years), sex (male, 59.1%; female, 40.9%), and comorbidities (diabetes, 55.6%; hypertension, 14.4%). Concentration of CO was significantly associated with all-cause mortality in the three case-crossover designs using the two-pollutant model adjusted for SO2. Patients with diabetes or age older than 75 years had a higher risk of mortality than patients without diabetes or those younger than 75 years. Conclusion: Findings presented here suggest that higher CO concentration is correlated with increased all-cause mortality in hemodialysis patients, especially in older high-risk patients.

Objective: Comprehensive understanding of polyenvironmental risk factors for the development of psychosis is important. Based on a review of related evidence, we developed the Korea Polyenvironmental Risk Score (K-PERS) for psychosis. We investigated whether the K-PERS can differentiate patients with schizophrenia spectrum disorders (SSDs) from healthy controls (HCs). Methods: We reviewed existing tools for measuring polyenvironmental risk factors for psychosis, including the Maudsley Environmental Risk Score (ERS), polyenviromic risk score (PERS), and Psychosis Polyrisk Score (PPS). Using odds ratios and relative risks for Western studies and the “population proportion” (PP) of risk factors for Korean data, we developed the K-PERS, and compared the scores thereon between patients with SSDs and HCs. In addition, correlation was performed between the K-PERS and Positive and Negative Syndrome Scale (PANSS). Results: We first constructed the “K-PERS-I,” comprising five factors based on the PPS, and then the “K-PERS-II” comprising six factors based on the ERS. The instruments accurately predicted participants’ status (case vs. control). In addition, the K-PERS-I and -II scores exhibited significant negative correlations with the negative symptom factor score of the PANSS. Conclusion The K-PERS is the first comprehensive tool developed based on PP data obtained from Korean studies that measures polyenvironmental risk factors for psychosis. Using pilot data, the K-PERS predicted patient status (SSD vs. HC). Further research is warranted to examine the relationship of K-PERS scores with clinical outcomes of psychosis and schizophrenia.