Purpose: This study elucidates the mechanism of the physiological effect of cannabidiol (CBD) by assessing its impact on lipopolysaccharide (LPS)-induced inflammation in RWPE-1 cells and prostatitis-induced by 17β-estradiol and dihydrotestosterone in a rat model, focusing on its therapeutic potential for chronic prostatitis/chronic pelvic pain syndrome (CP/CPPS). Materials and Methods: RWPE-1 cells were stratified in vitro into three groups: (1) controls, (2) cells with LPS-induced inflammation, and (3) cells with LPS-induced inflammation and treated with CBD. Enzyme-linked immunosorbent assays and western blots were performed on cellular components and supernatants after administration of CBD. Five groups of six Sprague–Dawley male rats were assigned: (1) control, (2) CP/CPPS, (3) CP/CPPS and treated with 50 mg/kg CBD, (4) CP/CPPS and treated with 100 mg/kg CBD, and (5) CP/CPPS and treated with 150 mg/kg CBD. Prostatitis was induced through administration of 17β-estradiol and dihydrotestosterone. After four weeks of CBD treatment, a pain index was evaluated, and prostate tissue was collected for subsequent histologic examination and western blot analysis. Results: CBD demonstrated efficacy in vivo for CP/CPPS and in vitro for inflammation. It inhibited the toll-like receptor 4 (TLR4)uclear factor-kappa B (NF-κB) pathway by activating the CB2 receptor, reducing expression of interleukin-6, tumor necrosis factor-alpha, and cyclooxygenase-2 (COX2) (p<0.01). CBD exhibited analgesic effects by activating and desensitizing the TRPV1 receptor. Conclusions CBD inhibits the TLR4/NF-κB pathway by activating the CB2 receptor, desensitizes the TRPV1 receptor, and decreases the release of COX2. This results in relief of inflammation and pain in patients with CP/CPPS, indicating CBD as a potential treatment for CP/CPPS.

Purpose: This study assessed the validity of the hospital standardized mortality ratio (HSMR) risk-adjusted model by comparing models that include clinical information and the current model based on administrative information in South Korea. Materials and Methods: The data of 53976 inpatients were analyzed. The current HSMR risk-adjusted model (Model 1) adjusts for sex, age, health coverage, emergency hospitalization status, main diagnosis, surgery status, and Charlson Comorbidity Index (CCI) using administrative data. As candidate variables, among clinical information, the American Society of Anesthesiologists score, Acute Physiology and Chronic Health Evaluation (APACHE) II, Simplified Acute Physiology Score (SAPS) 3, present on admission CCI, and cancer stage were collected. Surgery status, intensive care in the intensive care unit, and CCI were selected as proxy variables among administrative data. In-hospital death was defined as the dependent variable, and a logistic regression analysis was performed. The statistical performance of each model was compared using C-index values. Results: There was a strong correlation between variables in the administrative data and those in the medical records. The C-index of the existing model (Model 1) was 0.785; Model 2, which included all clinical data, had a higher C-index of 0.857. In Model 4, in which APACHE II and SAPS 3 were replaced with variables recorded in the administrative data from Model 2, the C-index further increased to 0.863. Conclusion The HSMR assessment model improved when clinical data were adjusted. Simultaneously, the validity of the evaluation method could be secured even if some of the clinical information was replaced with the information in the administrative data.

Objectives: This study examined the potential of a new analytical framework for the Korea Community Health Survey (KCHS) with classification criteria for the sub-national governmental level, the degree of urbanization including an urban-rural multimodal category, and population size as a more effective tool to address local health problems and deduce practical implications. Methods: Retrospective survey data from 2023 KCHS were obtained. Frequency analyses were performed for self-rated good health status, current smoking status, and unmet medical needs as proxies for health status, as well as health behavior and healthcare utilization, utilizing individual weights to represent national community residents. Results: We established a new classification of local governments into 7 types to facilitate regional comparisons. These local government types are presumably composed of populations showing statistically significant differences in demographic characteristics. There were evident differences in health status, health behavior, and healthcare utilization in comparisons of groups categorized by local government types. Conclusions This study suggests that regional disparities can be analyzed using a new typology of local governments. This practically effective approach could be used in decision-making for community-centered health projects in terms of community health planning. Future research should conduct analyses of KCHS data that use these 7 local government types to comprehensively reflect regional characteristics.

Purpose: Given the notable increase in the incidence of multiple myeloma (MM) in Asia and advent of innovative treatments, this study aims to provide a comprehensive understanding of the treatment patterns, outcomes, and eco‑ nomic burden of MM across the lines of therapy (LOTs) in South Korea. Methods: This retrospective cohort study was conducted using data from the National Health Insurance claims data provided by the Health Insurance Review and Assessment Database. An identification algorithm was developed to detect the regimens and LOTs. Treatment patterns and outcomes were assessed as real-world treatment sequence, treatment duration (rwTD), time to next-line treatment (rwTTNT), and overall survival (rwOS). Economic burden was assessed as healthcare resource utilization (HCRU) and the cost incurred per person per month. Results: This study included 11,450 patients who were newly diagnosed with MM between January 2010 and December 2019. The observed real-world LOT patterns reflect the changes in South Korea’s reimburse‑ ment scheme. Mean treatment-free intervals decreased from 11.59 months (SD 16.23) to 2.77 months (SD 6.14) from the first LOT (LOT 1) to LOT 5. Median rwTTNT decreased from 26.61 months (95% CI: 25.69-27.57) to 12.40 months (95% CI: 11.55-13.49), and median rwOS decreased from 61.88 months (95% CI: 59.11-65.46) to 13.65 months (95% CI: 11.88-16.22). The HCRU and associated costs increased substantially with the LOT advancement. Conclusion This large-scale observational study offers comprehensive insights into the real-world treatment of MM in South Korea. The study findings highlight the progressive nature of MM and increasing economic burden of advanced lines of treatment, underscoring the necessity for optimized treatment strategies.

Purpose: This study elucidates the mechanism of the physiological effect of cannabidiol (CBD) by assessing its impact on lipopolysaccharide (LPS)-induced inflammation in RWPE-1 cells and prostatitis-induced by 17β-estradiol and dihydrotestosterone in a rat model, focusing on its therapeutic potential for chronic prostatitis/chronic pelvic pain syndrome (CP/CPPS). Materials and Methods: RWPE-1 cells were stratified in vitro into three groups: (1) controls, (2) cells with LPS-induced inflammation, and (3) cells with LPS-induced inflammation and treated with CBD. Enzyme-linked immunosorbent assays and western blots were performed on cellular components and supernatants after administration of CBD. Five groups of six Sprague–Dawley male rats were assigned: (1) control, (2) CP/CPPS, (3) CP/CPPS and treated with 50 mg/kg CBD, (4) CP/CPPS and treated with 100 mg/kg CBD, and (5) CP/CPPS and treated with 150 mg/kg CBD. Prostatitis was induced through administration of 17β-estradiol and dihydrotestosterone. After four weeks of CBD treatment, a pain index was evaluated, and prostate tissue was collected for subsequent histologic examination and western blot analysis. Results: CBD demonstrated efficacy in vivo for CP/CPPS and in vitro for inflammation. It inhibited the toll-like receptor 4 (TLR4)uclear factor-kappa B (NF-κB) pathway by activating the CB2 receptor, reducing expression of interleukin-6, tumor necrosis factor-alpha, and cyclooxygenase-2 (COX2) (p<0.01). CBD exhibited analgesic effects by activating and desensitizing the TRPV1 receptor. Conclusions CBD inhibits the TLR4/NF-κB pathway by activating the CB2 receptor, desensitizes the TRPV1 receptor, and decreases the release of COX2. This results in relief of inflammation and pain in patients with CP/CPPS, indicating CBD as a potential treatment for CP/CPPS.

Purpose: This study assessed the validity of the hospital standardized mortality ratio (HSMR) risk-adjusted model by comparing models that include clinical information and the current model based on administrative information in South Korea. Materials and Methods: The data of 53976 inpatients were analyzed. The current HSMR risk-adjusted model (Model 1) adjusts for sex, age, health coverage, emergency hospitalization status, main diagnosis, surgery status, and Charlson Comorbidity Index (CCI) using administrative data. As candidate variables, among clinical information, the American Society of Anesthesiologists score, Acute Physiology and Chronic Health Evaluation (APACHE) II, Simplified Acute Physiology Score (SAPS) 3, present on admission CCI, and cancer stage were collected. Surgery status, intensive care in the intensive care unit, and CCI were selected as proxy variables among administrative data. In-hospital death was defined as the dependent variable, and a logistic regression analysis was performed. The statistical performance of each model was compared using C-index values. Results: There was a strong correlation between variables in the administrative data and those in the medical records. The C-index of the existing model (Model 1) was 0.785; Model 2, which included all clinical data, had a higher C-index of 0.857. In Model 4, in which APACHE II and SAPS 3 were replaced with variables recorded in the administrative data from Model 2, the C-index further increased to 0.863. Conclusion The HSMR assessment model improved when clinical data were adjusted. Simultaneously, the validity of the evaluation method could be secured even if some of the clinical information was replaced with the information in the administrative data.

Purpose: This study elucidates the mechanism of the physiological effect of cannabidiol (CBD) by assessing its impact on lipopolysaccharide (LPS)-induced inflammation in RWPE-1 cells and prostatitis-induced by 17β-estradiol and dihydrotestosterone in a rat model, focusing on its therapeutic potential for chronic prostatitis/chronic pelvic pain syndrome (CP/CPPS). Materials and Methods: RWPE-1 cells were stratified in vitro into three groups: (1) controls, (2) cells with LPS-induced inflammation, and (3) cells with LPS-induced inflammation and treated with CBD. Enzyme-linked immunosorbent assays and western blots were performed on cellular components and supernatants after administration of CBD. Five groups of six Sprague–Dawley male rats were assigned: (1) control, (2) CP/CPPS, (3) CP/CPPS and treated with 50 mg/kg CBD, (4) CP/CPPS and treated with 100 mg/kg CBD, and (5) CP/CPPS and treated with 150 mg/kg CBD. Prostatitis was induced through administration of 17β-estradiol and dihydrotestosterone. After four weeks of CBD treatment, a pain index was evaluated, and prostate tissue was collected for subsequent histologic examination and western blot analysis. Results: CBD demonstrated efficacy in vivo for CP/CPPS and in vitro for inflammation. It inhibited the toll-like receptor 4 (TLR4)uclear factor-kappa B (NF-κB) pathway by activating the CB2 receptor, reducing expression of interleukin-6, tumor necrosis factor-alpha, and cyclooxygenase-2 (COX2) (p<0.01). CBD exhibited analgesic effects by activating and desensitizing the TRPV1 receptor. Conclusions CBD inhibits the TLR4/NF-κB pathway by activating the CB2 receptor, desensitizes the TRPV1 receptor, and decreases the release of COX2. This results in relief of inflammation and pain in patients with CP/CPPS, indicating CBD as a potential treatment for CP/CPPS.

Purpose: This study assessed the validity of the hospital standardized mortality ratio (HSMR) risk-adjusted model by comparing models that include clinical information and the current model based on administrative information in South Korea. Materials and Methods: The data of 53976 inpatients were analyzed. The current HSMR risk-adjusted model (Model 1) adjusts for sex, age, health coverage, emergency hospitalization status, main diagnosis, surgery status, and Charlson Comorbidity Index (CCI) using administrative data. As candidate variables, among clinical information, the American Society of Anesthesiologists score, Acute Physiology and Chronic Health Evaluation (APACHE) II, Simplified Acute Physiology Score (SAPS) 3, present on admission CCI, and cancer stage were collected. Surgery status, intensive care in the intensive care unit, and CCI were selected as proxy variables among administrative data. In-hospital death was defined as the dependent variable, and a logistic regression analysis was performed. The statistical performance of each model was compared using C-index values. Results: There was a strong correlation between variables in the administrative data and those in the medical records. The C-index of the existing model (Model 1) was 0.785; Model 2, which included all clinical data, had a higher C-index of 0.857. In Model 4, in which APACHE II and SAPS 3 were replaced with variables recorded in the administrative data from Model 2, the C-index further increased to 0.863. Conclusion The HSMR assessment model improved when clinical data were adjusted. Simultaneously, the validity of the evaluation method could be secured even if some of the clinical information was replaced with the information in the administrative data.

Purpose: Given the notable increase in the incidence of multiple myeloma (MM) in Asia and advent of innovative treatments, this study aims to provide a comprehensive understanding of the treatment patterns, outcomes, and eco‑ nomic burden of MM across the lines of therapy (LOTs) in South Korea. Methods: This retrospective cohort study was conducted using data from the National Health Insurance claims data provided by the Health Insurance Review and Assessment Database. An identification algorithm was developed to detect the regimens and LOTs. Treatment patterns and outcomes were assessed as real-world treatment sequence, treatment duration (rwTD), time to next-line treatment (rwTTNT), and overall survival (rwOS). Economic burden was assessed as healthcare resource utilization (HCRU) and the cost incurred per person per month. Results: This study included 11,450 patients who were newly diagnosed with MM between January 2010 and December 2019. The observed real-world LOT patterns reflect the changes in South Korea’s reimburse‑ ment scheme. Mean treatment-free intervals decreased from 11.59 months (SD 16.23) to 2.77 months (SD 6.14) from the first LOT (LOT 1) to LOT 5. Median rwTTNT decreased from 26.61 months (95% CI: 25.69-27.57) to 12.40 months (95% CI: 11.55-13.49), and median rwOS decreased from 61.88 months (95% CI: 59.11-65.46) to 13.65 months (95% CI: 11.88-16.22). The HCRU and associated costs increased substantially with the LOT advancement. Conclusion This large-scale observational study offers comprehensive insights into the real-world treatment of MM in South Korea. The study findings highlight the progressive nature of MM and increasing economic burden of advanced lines of treatment, underscoring the necessity for optimized treatment strategies.

Objectives: This study examined the potential of a new analytical framework for the Korea Community Health Survey (KCHS) with classification criteria for the sub-national governmental level, the degree of urbanization including an urban-rural multimodal category, and population size as a more effective tool to address local health problems and deduce practical implications. Methods: Retrospective survey data from 2023 KCHS were obtained. Frequency analyses were performed for self-rated good health status, current smoking status, and unmet medical needs as proxies for health status, as well as health behavior and healthcare utilization, utilizing individual weights to represent national community residents. Results: We established a new classification of local governments into 7 types to facilitate regional comparisons. These local government types are presumably composed of populations showing statistically significant differences in demographic characteristics. There were evident differences in health status, health behavior, and healthcare utilization in comparisons of groups categorized by local government types. Conclusions This study suggests that regional disparities can be analyzed using a new typology of local governments. This practically effective approach could be used in decision-making for community-centered health projects in terms of community health planning. Future research should conduct analyses of KCHS data that use these 7 local government types to comprehensively reflect regional characteristics.