Immunoglobulin A nephropathy (IgAN) is a major cause of end-stage kidney disease (ESKD). The International IgA Nephropathy Prediction Tool (IIgAN-PT) predicts IgAN prognosis, but improvement in the prediction performance using machine learning (ML)-based methods is needed. Methods: We analyzed 4,425 biopsy-confirmed patients with IgAN and ≥6 months of follow-up from nine tertiary university hospitals in Korea. The study population was divided into development and validation cohorts. Using the collected 87 clinicodemographic and pathological variables, ML-based prediction models for ESKD or estimated glomerular filtration rate decline (50% reduction or <15 mL/min/1.73 m2 ) were constructed: 1) the conventional CatBoost model, 2) the optimized CatBoost model with Cox proportional hazards, 3) the deep Cox proportional hazards model, and 4) the deep Cox mixture model. The area under the curve (AUC) and calibration plots were used to investigate the discriminative and calibration performance of the models, which were then compared with those of the IIgAN-PT full model. Results: The full model showed excellent performance (AUC [95% confidence interval] for 5-year outcome, 0.896 [0.853–0.940]), with acceptable calibration results. The ML-based models showed good performance in predicting adverse kidney outcomes and revealed acceptable discrimination performance in the external validation (AUC [95% confidence interval] for the 5-year outcome: 1) 0.829 [0.791–0.866]; 2) 0.847 [0.804–0.890]; 3) 0.823 [0.784–0.862]; and 4) 0.832 [0.794–0.870]), although the models showed underestimation in calibration analysis of the external validation cohort. With the validation data, the overall performance of the IIgAN-PT was non-inferior to that of the ML-based model. Conclusions: Our ML-based models showed good performance in predicting adverse kidney outcomes in patients with IgAN but they did not outperform the IIgAN-PT.

Background: Cutaneous manifestations are frequently observed in end-stage kidney disease (ESKD) and affect the quality of life (QoL) of patients undergoing maintenance hemodialysis (HD). Even patients undergoing HD who frequently visit hospitals do not receive active dermatological care. The aims of this study were to assess the cutaneous manifestations of patients undergoing HD and investigate changes in their QoL before and after active treatment by dermatologists. Methods: A 12-week prospective study was conducted in two HD centers. Patients in one center received dermatological intervention, while patients in the other center received conservative management by a nephrologist. Patients scored their QoL using the Dermatology Life Quality Index (DLQI) and the Skindex-29 at the start of the study and 12 weeks later. Two matched groups were formed using propensity score matching.Simple and multiple linear regression analyses were used to identify associations between dermatological treatment and the improvement in QoL. Results: In total, 120 patients were included, of whom 65 and 55 were in the intervention and control groups, respectively. Approximately 93.8% of the patients had dermatological manifestations, with pallor and xerosis being the most common. Improvement in QoL, as assessed using the DLQI, was confirmed after 12 weeks in the overall population. However, active intervention by a dermatologist did not significantly improve QoL. Conclusion Patients treated with dermatological intervention by a dermatologist did not achieve greater improvements in QoL than control patients. Therefore, careful assessment of skin issues in patients with ESKD should be undertaken by nephrologists, and the best possible treatment should be administered.

Background: Cutaneous manifestations are frequently observed in end-stage kidney disease (ESKD) and affect the quality of life (QoL) of patients undergoing maintenance hemodialysis (HD). Even patients undergoing HD who frequently visit hospitals do not receive active dermatological care. The aims of this study were to assess the cutaneous manifestations of patients undergoing HD and investigate changes in their QoL before and after active treatment by dermatologists. Methods: A 12-week prospective study was conducted in two HD centers. Patients in one center received dermatological intervention, while patients in the other center received conservative management by a nephrologist. Patients scored their QoL using the Dermatology Life Quality Index (DLQI) and the Skindex-29 at the start of the study and 12 weeks later. Two matched groups were formed using propensity score matching.Simple and multiple linear regression analyses were used to identify associations between dermatological treatment and the improvement in QoL. Results: In total, 120 patients were included, of whom 65 and 55 were in the intervention and control groups, respectively. Approximately 93.8% of the patients had dermatological manifestations, with pallor and xerosis being the most common. Improvement in QoL, as assessed using the DLQI, was confirmed after 12 weeks in the overall population. However, active intervention by a dermatologist did not significantly improve QoL. Conclusion Patients treated with dermatological intervention by a dermatologist did not achieve greater improvements in QoL than control patients. Therefore, careful assessment of skin issues in patients with ESKD should be undertaken by nephrologists, and the best possible treatment should be administered.

Background: Cutaneous manifestations are frequently observed in end-stage kidney disease (ESKD) and affect the quality of life (QoL) of patients undergoing maintenance hemodialysis (HD). Even patients undergoing HD who frequently visit hospitals do not receive active dermatological care. The aims of this study were to assess the cutaneous manifestations of patients undergoing HD and investigate changes in their QoL before and after active treatment by dermatologists. Methods: A 12-week prospective study was conducted in two HD centers. Patients in one center received dermatological intervention, while patients in the other center received conservative management by a nephrologist. Patients scored their QoL using the Dermatology Life Quality Index (DLQI) and the Skindex-29 at the start of the study and 12 weeks later. Two matched groups were formed using propensity score matching.Simple and multiple linear regression analyses were used to identify associations between dermatological treatment and the improvement in QoL. Results: In total, 120 patients were included, of whom 65 and 55 were in the intervention and control groups, respectively. Approximately 93.8% of the patients had dermatological manifestations, with pallor and xerosis being the most common. Improvement in QoL, as assessed using the DLQI, was confirmed after 12 weeks in the overall population. However, active intervention by a dermatologist did not significantly improve QoL. Conclusion Patients treated with dermatological intervention by a dermatologist did not achieve greater improvements in QoL than control patients. Therefore, careful assessment of skin issues in patients with ESKD should be undertaken by nephrologists, and the best possible treatment should be administered.

Background: Cutaneous manifestations are frequently observed in end-stage kidney disease (ESKD) and affect the quality of life (QoL) of patients undergoing maintenance hemodialysis (HD). Even patients undergoing HD who frequently visit hospitals do not receive active dermatological care. The aims of this study were to assess the cutaneous manifestations of patients undergoing HD and investigate changes in their QoL before and after active treatment by dermatologists. Methods: A 12-week prospective study was conducted in two HD centers. Patients in one center received dermatological intervention, while patients in the other center received conservative management by a nephrologist. Patients scored their QoL using the Dermatology Life Quality Index (DLQI) and the Skindex-29 at the start of the study and 12 weeks later. Two matched groups were formed using propensity score matching.Simple and multiple linear regression analyses were used to identify associations between dermatological treatment and the improvement in QoL. Results: In total, 120 patients were included, of whom 65 and 55 were in the intervention and control groups, respectively. Approximately 93.8% of the patients had dermatological manifestations, with pallor and xerosis being the most common. Improvement in QoL, as assessed using the DLQI, was confirmed after 12 weeks in the overall population. However, active intervention by a dermatologist did not significantly improve QoL. Conclusion Patients treated with dermatological intervention by a dermatologist did not achieve greater improvements in QoL than control patients. Therefore, careful assessment of skin issues in patients with ESKD should be undertaken by nephrologists, and the best possible treatment should be administered.

Purpose: To determine seasonal variations in serum potassium levels among hemodialysis patients. Materials and Methods: This was a multicenter cohort study of patients whounderwent hemodialysis and were registered in DialysisNet at our four associated general hospitals between January and December 2016. Month-to-month potassium variability was quantified as SD/√{n/(n-1)}, and a non-hierarchical method was used to cluster groups according to potassium trajectories. Seasonal variations in potassium levels were analyzed using a cosinor analysis. Results: The analysis was performed on 279 patients with a mean potassium level of 5.08±0.58 mmol/L. After clustering, 52.3% (n=146) of patients were included in the moderate group (K+ , 4.6±0.4 mmol/L) and 47.7% (n=133) in the high group (K+ , 5.6±0.4 mmol/L). The mean potassium level peaked in January in the moderate group (4.83±0.74 mmol/L) and in August in the high group (5.51±0.70 mmol/L). In the high potassium group, potassium levels were significantly higher in summer than in autumn (p<0.001) and spring (p=0.007). Month-to-month potassium variability was greater in the high group than in the moderate group (0.59±0.19 mmol/L vs. 0.52±0.21 mmol/L, respectively, p=0.012). Compared to patients in the first quartile of potassium variability (≤0.395 mmol/L), those with higher variability (2nd–4th quartiles) were 2.8–4.2 fold more likely to be in the high potassium group. Conclusion Different seasonal patterns of serum potassium were identified in the moderate and high potassium groups, with potassium levels being significantly higher in the summer season in the high potassium group and in winter for the moderate potassium group.

Background: The incidence of early-onset diabetes is increasing among young adults.However, there are limited data on the characteristics and management of young Korean adults with diabetes. This study assessed the clinical and demographic characteristics, health behaviors, and mental health among young Korean adults with diabetes mellitus. Methods: This cross-sectional study included young Korean adults with diabetes (n = 225) with an onset age of 20–39 years from four university hospitals. Demographic characteristics, management of diabetes, and mental health were assessed using a questionnaire survey. Results: Type 2 diabetes was the most common type (73.3%), and 13.8% of participants were classified as other types or unknown. Approximately, 64.7% of participants had a strong family history of diabetes, and 76% had treatment within three months of diagnosis.Approximately, 11.1% of participants had diabetic complications; 39.1% of participants received insulin injections, including oral anti-diabetic medications. Additionally, 30.4% were smokers, and only 28% had active physical activity; 26.5% of participants had >3 hours of screen time. One third of participants never had breakfast, and 60.5% went out to eat at least three times a week. Half of the participants showed moderate to severe stress perception, and 21.4% of patients had moderate to severe levels of depression based on the Korean version of Beck Depression Inventory score. Conclusion Early-onset diabetes was associated with a strong family history and early insulin treatment. Young adults with diabetes had poor health behaviors and frequent mental depression. These findings suggest the necessity of health policies for improving health behaviors and mental distress.

Background: The incidence of early-onset diabetes is increasing among young adults.However, there are limited data on the characteristics and management of young Korean adults with diabetes. This study assessed the clinical and demographic characteristics, health behaviors, and mental health among young Korean adults with diabetes mellitus. Methods: This cross-sectional study included young Korean adults with diabetes (n = 225) with an onset age of 20–39 years from four university hospitals. Demographic characteristics, management of diabetes, and mental health were assessed using a questionnaire survey. Results: Type 2 diabetes was the most common type (73.3%), and 13.8% of participants were classified as other types or unknown. Approximately, 64.7% of participants had a strong family history of diabetes, and 76% had treatment within three months of diagnosis.Approximately, 11.1% of participants had diabetic complications; 39.1% of participants received insulin injections, including oral anti-diabetic medications. Additionally, 30.4% were smokers, and only 28% had active physical activity; 26.5% of participants had >3 hours of screen time. One third of participants never had breakfast, and 60.5% went out to eat at least three times a week. Half of the participants showed moderate to severe stress perception, and 21.4% of patients had moderate to severe levels of depression based on the Korean version of Beck Depression Inventory score. Conclusion Early-onset diabetes was associated with a strong family history and early insulin treatment. Young adults with diabetes had poor health behaviors and frequent mental depression. These findings suggest the necessity of health policies for improving health behaviors and mental distress.