The usefulness of the living kidney donor profile index (LKDPI) has not been widely demonstrated; therefore, it requires verification before clinical application. We analyzed the LKDPI using data from the Korean Organ Transplantation Registry (KOTRY) to confirm whether the LKDPI can be used to predict the survival of allografts in living donor kidney transplantation (LDKT) patients in Korea. Methods: The study population was obtained from the KOTRY database. A total of 2,598 kidney recipients registered in the KOTRY database were enrolled between May 2014 and December 2020. Donor and recipient information was observed, and the LKDPI was measured. Results: Median LKDPI score was 15.5 with a follow-up duration of 33.7 ± 16.1 months. According to LKDPI scores (group 1, <0; group 2, 0–20; group 3, 20–40; and group 4, >40), LKDPI group 4 had significantly higher death-censored graft loss than LKDPI group 1 (hazard ratio [HR], 1.89; 95% confidence interval [CI], 1.06– 3.40; p = 0.03). When divided based on the cutoff value (LKDPI, 36.6), the high LKDPI group had higher graft loss than the low LKDPI group (HR, 2.14; 95% CI, 1.37–3.34; p < 0.001). When follow-up was repeated after transplantation, it was confirmed that the higher the LKDPI value was, the lower the average estimated glomerular filtration rate (p < 0.001). Conclusion: This study confirmed that LKDPI can serve as an independent predictor for assessing the risk of allograft failure and transplant outcomes in Korean LDKT patients.

Chronic kidney disease (CKD) patients are hospitalized for various conditions. Hospitalization increases the readmission rate and mortality rate, seriously deteriorating patients’ quality of life. Consequently, it is crucial to analyze the reasons for hospitalization in CKD patients from a broader perspective according to CKD grade. Methods: This is a prospective cohort study of CKD patients entitled the KoreaN cohort study for Outcomes in patients With Chronic Kidney Disease (KNOW-CKD). A total of 2,238 patients were examined, and the reasons for hospitalization were classified into 16 disease categories. The incidence rate ratio (IRR) according to CKD stage was compared using negative bimodal regression analysis. Results: The all-cause hospitalization incidence was 184.96 per 1,000 person-years. The most common reason for hospitalization was circulatory system disease, followed by infection and digestive system disease. Among hospitalizations for acute kidney injury, endocrine-nutrition-metabolic–related illness, blood-related disease, and diseases of the nervous system and sensory organs, IRR increased as CKD grade advanced. The incidence of ophthalmologic surgery during hospitalization increased according to the CKD stage. The IRR of KNOW-CKD patients was 6.19 (95% confidence interval, 5.92–6.48; p < 0.001) compared with the general population. Conclusion: This in-depth analysis of hospitalizations among CKD patients confirmed that CKD patients were hospitalized for various reasons, such as metabolic, ophthalmic, and hematologic diseases. Early detection and intervention regarding causative diseases of CKD are important to reduce the hospitalization burden and improve patients’ quality of life.

Purpose: This study aimed to determine the clinicopathologic factors, including tumor elasticity, affecting neoadjuvant chemotherapy response in breast cancer. Methods: Among 95 patients who received neoadjuvant chemotherapy for clinical stage IIa-IIIc primary breast cancer, 75 underwent strain elastography assessments. The patients were divided into soft and hard tumor groups based on the Tsukuba elasticity scoring system. Pathologic factors, including tumor cellularity and stromal characteristics, were evaluated using core needle biopsy specimens collected before neoadjuvant chemotherapy. Pathologic complete response (pCR) was defined as the absence of invasive carcinoma in the breast and axillary lymph nodes. Residual cancer burden (RCB) was also calculated in 79 cases. Results: Twenty-two patients achieved pCR (23.2%). The rates of estrogen receptor (ER) negativity (p=0.04), progesterone receptor (PR) negativity (p=0.03), and nuclear grade 3 (p=0.03) were higher in patients with pCR than those in patients without pCR. The rates of PR negativity (p=0.03), nuclear grade 3 (p=0.01), and high tumor-infiltrating lymphocyte (TIL) levels (p=0.04) were significantly higher in the favorable RCB group (RCB-0 and I) than those in the unfavorable RCB group (RCB-II and III). No significant difference in tumor elasticity was observed between the groups (p=0.30). Hormone receptor (HR) negativity was an independent predictor of favorable RCB in the multivariate analysis (p=0.04). Conclusion Tumor elasticity was not associated with pCR or RCB. HR negativity was an independent predictor of favorable RCB.

Purpose: This study aimed to determine the clinicopathologic factors, including tumor elasticity, affecting neoadjuvant chemotherapy response in breast cancer. Methods: Among 95 patients who received neoadjuvant chemotherapy for clinical stage IIa-IIIc primary breast cancer, 75 underwent strain elastography assessments. The patients were divided into soft and hard tumor groups based on the Tsukuba elasticity scoring system. Pathologic factors, including tumor cellularity and stromal characteristics, were evaluated using core needle biopsy specimens collected before neoadjuvant chemotherapy. Pathologic complete response (pCR) was defined as the absence of invasive carcinoma in the breast and axillary lymph nodes. Residual cancer burden (RCB) was also calculated in 79 cases. Results: Twenty-two patients achieved pCR (23.2%). The rates of estrogen receptor (ER) negativity (p=0.04), progesterone receptor (PR) negativity (p=0.03), and nuclear grade 3 (p=0.03) were higher in patients with pCR than those in patients without pCR. The rates of PR negativity (p=0.03), nuclear grade 3 (p=0.01), and high tumor-infiltrating lymphocyte (TIL) levels (p=0.04) were significantly higher in the favorable RCB group (RCB-0 and I) than those in the unfavorable RCB group (RCB-II and III). No significant difference in tumor elasticity was observed between the groups (p=0.30). Hormone receptor (HR) negativity was an independent predictor of favorable RCB in the multivariate analysis (p=0.04). Conclusion Tumor elasticity was not associated with pCR or RCB. HR negativity was an independent predictor of favorable RCB.

Background: Multiple system atrophy (MSA) is a sporadic neurodegenerative disease characterized by various combinations of parkinsonism, cerebellar ataxia, autonomic dysfunction and pyramidal signs. Two clinical subtypes are recognized: MSA with predominant cerebellar ataxia (MSA-C) and MSA with predominant parkinsonism (MSA-P). The aim of this study was to compare pathological features between MSA-C and MSA-P. Methods: Two autopsy confirmed cases with MSA were included from the Pusan National University Hospital Brain Bank. Case 1 had been clinically diagnosed as MSA-C and case 2 as MSA-P. The severity of neuronal loss and gliosis as well as the glial and neuronal cytoplasmic inclusions were semiquantitatively assessed in both striatonigral and olivopontocerebellar regions. Based on the grading system, pathological phenotypes of MSA were classified as striatonigral degeneration (SND) predominant (SND type), olivopontocerebellar degeneration (OPC) predominant (OPC type), or equivalent SND and OPC pathology (SND=OPC type). Results: Both cases showed widespread and abundant α-synuclein positive glial cytoplasmic inclusions in association with neurodegenerative changes in striatonigral or olivopontocerebellar structures, leading to the primary pathological diagnosis of MSA. Primary age-related tauopathy was incidentally found but Lewy bodies were not in both cases. The pathological phenotypes of MSA were MSA-OPC type in case 1 and MSA-SND=OPC type in case 2. Conclusions Our data suggest that clinical phenotypes of MSA reflect the pathological characteristics.

Purpose: To identify the incidence and characteristics of immediate substitutions of injured players that occurred during Korean professional football league matches. Methods: This study included injuries that resulted in immediate substitutions of injured players during Korean professional football league matches. The match broadcasting records were used to check the date of the match, home-away matches, the team to which players belong, the position on the field of play, and the time of injury.The match recording videos were used to evaluate the injury mechanism and the injured area. Results: In 228 matches, 66 immediate substitutions of injured players occurred, with an incidence rate of 0.3 per match. Total number of substitutions due to injuries most frequently occurred in May, with 15 substitutions in 30 matches; however, after considering the number of substitutions per match in each month, November was the most severe month with 0.53 substitutions after injuries per match. Most frequently injured players were defenders (36.4%), followed by midfielders, forwards, and goalkeepers. Immediate substitutions of injured players took place 32 times in the first half and 34 times in the second half. 51.5% of all injuries were related to collisions, and injuries to the knee and thigh accounted for 45.5% of all injuries. Conclusion There were 66 immediate substitutions of injured players during a single season of the Korean professional football league, with 0.3 substitutions after injuries per match. To prevent and manage serious injuries that can occur during a football match, a thorough analysis of risk factors of injuries that lead to immediate substitution is required.

Background: Intrarenal renin-angiotensin system (RAS) is known to play the major role in the development of hypertension and renal progression in autosomal dominant polycystic kidney disease (ADPKD). Urinary angiotensinogen to creatinine ratio (AGT/Cr) was suggested as a novel biomarker to reflect intrarenal RAS activity. This study was performed to evaluate urinary AGT/Cr as a predictive biomarker for renal function decline in addition to imaging classification in a prospective ADPKD cohort. Methods: From 2011 to 2016, a total of 364 ADPKD patients were enrolled in the prospective cohort called the KoreaN Cohort Study for Outcomes in Patients With Chronic Kidney Disease (KNOW-CKD). Among them, a total of 207 subjects in chronic kidney disease stage 1–4 with baseline urinary AGT and total kidney volume and subsequent renal function follow-up data over more than 1 year were included in the analysis. Patients were defined as slow progressors (SP) if they are classified as 1A or 1B by imaging classification whereas rapid progressors (RP) if they are classified as 1C–1E. Patients were divided according to AGT/Cr quartiles and annual estimated glomerular filtration rate (eGFR) slope was compared among highest quartile (hAGT group) and the rest of quartiles (lAGT group). Patients were divided into 4 groups to evaluate the predictive value of urinary AGT/Cr in addition to imaging classification: SP/lAGT, SP/hAGT, RP/lAGT, and RP/hAGT. The Cox regression model was used to evaluate the hazard ratio (HR) between groups. Results: The mean age was 45.9 years and 88.9% had hypertension. Baseline eGFR was 79.0 ± 28.4 mL/min/1.73 m2 and median height-adjusted total kidney volume was 788.2 (471.2;1,205.2) mL/m. The patients in the hAGT group showed lower eGFR (72.4 ± 24.8 vs. 81.1 ± 29.2 mL/min/1.73 m2, P = 0.039), lower plasma hemoglobin (13.0 ± 1.4 vs. 13.7 ± 1.6 g/dL, P = 0.007), higher urinary protein to creatinine ratio (0.14 [0.09, 0.38] vs. 0.07 [0.04, 0.12] g/g, P = 0.007) compared to the lAGT group. The hAGT group was an independent risk factor for faster eGFR decline after adjusting for gender, RP, baseline eGFR, and other known risk factors. During median follow-up duration of 4.6 years, a total of 29 renal events (14.0%) occurred. The SP/hAGT group showed significantly higher risk of developing renal outcome compared to SP/lAGT group (HR, 13.4; 95% confidence interval, 1.282–139.324; P = 0.03). Conclusion Urinary AGT/Cr can be a useful predictive marker in the patients with relatively small ADPKD. Various biomarkers should be considered to define RP when implementing novel treatment in the patients with ADPKD.