Heart failure (HF) is a major cause of mortality and morbidity in South Korea, imposing substantial physical, emotional, and financial burdens on patients and society. Despite the high burden of symptom and complex care needs of HF patients, palliative care and hospice services remain underutilized in South Korea due to cultural, institutional, and knowledge-related barriers. This position statement from the Korean Society of Heart Failure emphasizes the need for integrating palliative and hospice care into HF management to improve quality of life and support holistic care for patients and their families. By clarifying the role of palliative care in HF and proposing practical referral criteria, this position statement aims to bridge the gap between HF and palliative care services in South Korea, ultimately improving patient-centered outcomes and aligning treatment with the goals and values of HF patients.

The common data model (CDM) has found widespread application in healthcare studies, but its utilization in cancer research has been limited. This article describes the development and implementation strategy for Cancer Clinical Library Databases (CCLDs), which are standardized cancer-specific databases established under the Korea-Clinical Data Utilization Network for Research Excellence (K-CURE) project by the Korean Ministry of Health and Welfare. Fifteen leading hospitals and fourteen academic associations in Korea are engaged in constructing CCLDs for 10 primary cancer types. For each cancer type-specific CCLD, cancer data experts determine key clinical data items essential for cancer research, standardize these items across cancer types, and create a standardized schema. Comprehensive clinical records covering diagnosis, treatment, and outcomes, with annual updates, are collected for each cancer patient in the target population, and quality control is based on six-sigma standards. To protect patient privacy, CCLDs follow stringent data security guidelines by pseudonymizing personal identification information and operating within a closed analysis environment. Researchers can apply for access to CCLD data through the K-CURE portal, which is subject to Institutional Review Board and Data Review Board approval. The CCLD is considered a pioneering standardized cancer-specific database, significantly representing Korea’s cancer data. It is expected to overcome limitations of previous CDMs and provide a valuable resource for multicenter cancer research in Korea.

The common data model (CDM) has found widespread application in healthcare studies, but its utilization in cancer research has been limited. This article describes the development and implementation strategy for Cancer Clinical Library Databases (CCLDs), which are standardized cancer-specific databases established under the Korea-Clinical Data Utilization Network for Research Excellence (K-CURE) project by the Korean Ministry of Health and Welfare. Fifteen leading hospitals and fourteen academic associations in Korea are engaged in constructing CCLDs for 10 primary cancer types. For each cancer type-specific CCLD, cancer data experts determine key clinical data items essential for cancer research, standardize these items across cancer types, and create a standardized schema. Comprehensive clinical records covering diagnosis, treatment, and outcomes, with annual updates, are collected for each cancer patient in the target population, and quality control is based on six-sigma standards. To protect patient privacy, CCLDs follow stringent data security guidelines by pseudonymizing personal identification information and operating within a closed analysis environment. Researchers can apply for access to CCLD data through the K-CURE portal, which is subject to Institutional Review Board and Data Review Board approval. The CCLD is considered a pioneering standardized cancer-specific database, significantly representing Korea’s cancer data. It is expected to overcome limitations of previous CDMs and provide a valuable resource for multicenter cancer research in Korea.

The common data model (CDM) has found widespread application in healthcare studies, but its utilization in cancer research has been limited. This article describes the development and implementation strategy for Cancer Clinical Library Databases (CCLDs), which are standardized cancer-specific databases established under the Korea-Clinical Data Utilization Network for Research Excellence (K-CURE) project by the Korean Ministry of Health and Welfare. Fifteen leading hospitals and fourteen academic associations in Korea are engaged in constructing CCLDs for 10 primary cancer types. For each cancer type-specific CCLD, cancer data experts determine key clinical data items essential for cancer research, standardize these items across cancer types, and create a standardized schema. Comprehensive clinical records covering diagnosis, treatment, and outcomes, with annual updates, are collected for each cancer patient in the target population, and quality control is based on six-sigma standards. To protect patient privacy, CCLDs follow stringent data security guidelines by pseudonymizing personal identification information and operating within a closed analysis environment. Researchers can apply for access to CCLD data through the K-CURE portal, which is subject to Institutional Review Board and Data Review Board approval. The CCLD is considered a pioneering standardized cancer-specific database, significantly representing Korea’s cancer data. It is expected to overcome limitations of previous CDMs and provide a valuable resource for multicenter cancer research in Korea.

Background: Despite advances in systemic targeted therapies, topical agents remain the primary treatment for localized psoriasis. However, their therapeutic effects are often delayed and unsatisfactory. The dissolving microneedle (DMN) patch, a novel transdermal drug delivery system, enhances the absorption of topical agents through micro-channels. Objective: To evaluate the efficacy of DMN patches in enhancing drug delivery and improving clinical outcomes in psoriatic plaques. Methods: A prospective, randomized, split-body study was conducted to verify the efficacy of additional use of DMN patches after topical agent application in psoriasis treatment. Patients with mild psoriasis were enrolled and 6 paired lesions per patient were randomized into 3 groups: ointment-only, ointment-with-no needle patch, and ointment-with-DMN patch. Lesions were treated with a topical agent (betamethasone and calcipotriol) once daily for 2 weeks. Modified psoriasis area and severity index (mPASI) scores were measured weekly. In vitro and ex vivo experiments were performed to confirm micro-channel formation, microneedle dissolution, and drug penetration enhancement. Results: A total of 132 paired lesions from 22 patients were analyzed. The ointment-with-DMN patch group showed significantly improved mPASI scores (80.4%±20.5%; 5.42→1.06) compared to the ointment-with-no needle patch (64.6%±33.0%; 4.94→1.68) (p<0.05) and ointment-only groups (55.5%±31.4%; 5.00→2.15) (p<0.001). In vitro studies demonstrated 2.1-fold enhanced drug delivery with DMN patches, while ex vivo histological analysis confirmed micro-channel formation. No adverse events, including infection or psoriasis exacerbation, were observed. Conclusion The DMN patch is an effective adjunctive tool that enhances transdermal drug delivery and improves therapeutic outcomes in psoriatic plaques, particularly those refractory to topical agents.

Background: Suicide remains a significant global public health challenge, with hanging as the most prevalent suicide method in South Korea. This study aimed to determine diagnostic markers confirming suicidal hanging-associated deaths. Methods: In this prospective study, hemorrhages at the periosteal-clavicular origin of the sternocleidomastoid (SCM) muscles were compared among suicidal hanging, manual strangulation, and ligature strangulation cases. This study included 211 cases of suicide by hanging, and a control group of 50 individuals who underwent cardiopulmonary resuscitation but died of other causes. Additionally, nine cases of ligature strangulation and six cases of manual strangulation were analyzed. Postmortem examinations were conducted, and clavicular hemorrhages were histologically evaluated. Statistical analyses were performed using the χ2 test. Results: Hemorrhages at the periosteal-clavicular origin of the SCM were observed in 178 of the 211 hanging cases (84.4%). The highest frequency of clavicular hemorrhage was found in typical hanging cases with complete suspension. Among the 50 control cases, only three showed hemorrhages in the clavicular region, but these were extravasations in the adjoining soft tissue, not in the periosteum. In cases of manual and ligature strangulation, SCM hemorrhages were found within the muscle tissue and were not of periosteal-clavicular origin. Conclusion Hemorrhage at the periosteal-clavicular origin of the SCM is a significant finding in suicidal hanging and serves as a potential pathognomonic marker for confirming cases of suicidal hanging. The study revealed a statistically significant association between the type of hanging, completeness of body suspension, and the occurrence of these hemorrhages.Cardiopulmonary resuscitation does not cause a hemorrhage at this location.

Background: Suicide remains a significant global public health challenge, with hanging as the most prevalent suicide method in South Korea. This study aimed to determine diagnostic markers confirming suicidal hanging-associated deaths. Methods: In this prospective study, hemorrhages at the periosteal-clavicular origin of the sternocleidomastoid (SCM) muscles were compared among suicidal hanging, manual strangulation, and ligature strangulation cases. This study included 211 cases of suicide by hanging, and a control group of 50 individuals who underwent cardiopulmonary resuscitation but died of other causes. Additionally, nine cases of ligature strangulation and six cases of manual strangulation were analyzed. Postmortem examinations were conducted, and clavicular hemorrhages were histologically evaluated. Statistical analyses were performed using the χ2 test. Results: Hemorrhages at the periosteal-clavicular origin of the SCM were observed in 178 of the 211 hanging cases (84.4%). The highest frequency of clavicular hemorrhage was found in typical hanging cases with complete suspension. Among the 50 control cases, only three showed hemorrhages in the clavicular region, but these were extravasations in the adjoining soft tissue, not in the periosteum. In cases of manual and ligature strangulation, SCM hemorrhages were found within the muscle tissue and were not of periosteal-clavicular origin. Conclusion Hemorrhage at the periosteal-clavicular origin of the SCM is a significant finding in suicidal hanging and serves as a potential pathognomonic marker for confirming cases of suicidal hanging. The study revealed a statistically significant association between the type of hanging, completeness of body suspension, and the occurrence of these hemorrhages.Cardiopulmonary resuscitation does not cause a hemorrhage at this location.

Background and Objectives: This retrospective study, conducted at a single tertiary medical center, aimed to investigate the correlation between the severity of allergic rhinitis (AR) based on subjective symptoms and the severity assessed through laboratory data. Methods: In total, 584 patients who were diagnosed with AR by a multiple-allergen simultaneous test were included. Patients were classified into four groups according to the Allergic Rhinitis and its Impact on Asthma (ARIA) classification guideline. The visual analog scale (VAS) score for overall discomfort and laboratory parameters, including the serum total immunoglobulin E (IgE) level and peripheral blood eosinophil count, were evaluated in all patients. An analysis was conducted to examine the differences in VAS scores and laboratory findings among the four groups. Additionally, the correlations between the laboratory findings and VAS score were analyzed. Results: The serum total IgE level and the percentage and count of peripheral blood eosinophils showed no significant differences among the groups. However, the VAS score for overall discomfort exhibited notable between-group differences. The average VAS score was 6.14 (95% confidence interval 5.94–6.34) in the overall group. The mean scores of each group showed a noticeable increasing trend from the mild intermittent group to the mild persistent, moderate to severe intermittent, and moderate to severe persistent groups (p<0.001), although there was no clear correlation between the increase in VAS scores and laboratory parameters. Conclusion Neither the symptom-based ARIA guideline nor the VAS score correlated with the AR laboratory test measurements. The current laboratory data alone may not be sufficient to reflect the severity of AR based on subjective symptoms.

OBJECTIVES: This study investigated the associations between several obesity-related anthropometric indices and mortality in middle-aged and elderly populations to compare the indices’ predictive ability with that of the body mass index (BMI). METHODS: We analyzed data on 12 indices calculated from 19,805 community-based cohort participants (average age, 63.27 years; median follow-up, 13.49 years). Each index was calculated using directly measured values of height, weight, waist circumference (WC), and hip circumference (HC). We calculated hazard ratios (HRs) and 95% confidence intervals (CIs) for each index using Cox regression and evaluated mortality prediction with the Harrell concordance index (c-index). RESULTS: Adding anthropometric indices to the basic mortality model (c-index, 0.7723; 95% CI, 0.7647 to 0.7799) significantly increased the predictive power of BMI (c-index, 0.7735; 95% CI, 0.7659 to 0.7811), a body shape index (ABSI; c-index, 0.7735; 95% CI, 0.7659 to 0.7810), weight-adjusted waist index (WWI; c-index, 0.7731; 95% CI, 0.7656 to 0.7807), and waist to hip index (WHI; c-index, 0.7733; 95% CI, 0.7657 to 0.7809). The differences between the BMI model and the other 3 models were not statistically significant. CONCLUSIONS In predicting all-cause mortality, the ABSI, WWI, and WHI models based on WC or HC had stronger predictive power than conventional risk factors but were not significantly different from the BMI model.