Emergency department visits for patients with end-stage kidney disease in Korea: registry data from the National Emergency Department Information System 2019–2021

Kidney Research and Clinical Practice, Journal Year: 2025, Volume and Issue: unknown

Published: Jan. 17, 2025

Patients with end-stage kidney disease (ESKD) frequently visit the emergency department (ED) due to complications from comorbidities and dialysis. This study aimed investigate clinical outcomes patterns of ED visits, hospitalizations, in-hospital mortality among visits by ESKD patients in South Korea. utilized data National Emergency Department Information System 2019 2021. were analyzed for compared non-chronic (non-CKD) patients. Logistic regression analyses conducted assess factors associated hospitalization mortality, adjusting demographics, insurance, characteristics, including Korean Triage Acuity Scale (KTAS). The included 125,392 19,287,972 non-CKD had significantly higher (66.7%) (9.4%) rates those (21.0% 5.1%, respectively). older, more female, likely receive medical aid. Factors strongly advanced age, male sex, transfer another facility, KTAS scores, prolonged stays. Common causes vascular device complications, digestive system disorders, pneumonia, pulmonary edema, fluid or electrolyte imbalances. characterized high severity, rates, mortality. Further research on affecting may improve morbidity this population.

Language: Английский

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A Machine Learning-Based Prediction Model for Diabetic Kidney Disease in Korean Patients with Type 2 Diabetes Mellitus

Journal of Clinical Medicine, Journal Year: 2025, Volume and Issue: 14(6), P. 2065 - 2065

Published: March 18, 2025

Background/Objectives: Diabetic kidney disease (DKD) is a major cause of end-stage and leading contributor to morbidity mortality in patients with type 2 diabetes mellitus (T2DM). However, predictive models for DKD onset Korean T2DM remain underexplored. This study aimed develop validate machine learning (ML)-based prediction model this population. Methods: retrospective utilized electronic health records from six secondary or tertiary hospitals Korea. The Jeonbuk National University Hospital cohort was used development (ratio training: test data, 8:2), whereas datasets five other supported external validation. We employed multiple ML algorithms, including lasso, ridge, elastic net regression; random forest; XGBoost; support vector machines; neural networks. incorporated demographic variables, comorbidities, medications, laboratory results. Results: Among 5120 T2DM, 1361 (26.6%) developed DKD. In the cohort, XGBoost achieved highest performance (AUC: 0.8099), followed by forest logistic regression (AUCs: 0.7977–0.8019). External validation confirmed model’s robustness high AUCs (XGBoost: 0.8113, models: 0.8228–0.8271). Key factors included age; baseline estimated glomerular filtration rate; creatinine, hemoglobin, hemoglobin A1c levels. Conclusions: Our findings highlight potential ML-based approaches predicting T2DM. superior underscores their clinical utility. supports generalizability. valuable tool early risk assessment

Language: Английский

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The Association Between Erythropoiesis Resistance Index and Clinical Outcomes in Hemodialysis Patients: A Nationwide Study

Journal of Clinical Medicine, Journal Year: 2025, Volume and Issue: 14(8), P. 2812 - 2812

Published: April 18, 2025

Background: Although erythropoiesis-stimulating agent (ESA) therapy is fundamental for correcting anemia, excessive ESA administration associated with increased risks. This study aimed to investigate the impact of erythropoietin resistance index (ERI) on clinical outcomes in a population-based cohort hemodialysis (HD) patients. Methods: retrospective analyzed datasets from patients who underwent periodic HD quality assessments and their claims data. Overall, we included 35,913 Participants were divided into quartiles based ERI during 6-month assessment period: Q1, Q2, Q3, Q4 groups. Results: The 5-year survival rates 68.8% (Q1), 67.8% (Q2), 66.9% (Q3), 60.2% (Q4) (p < 0.001). Multivariable analysis showed same trends as univariable analysis. Additionally, spline curve using multivariable model indicated that was linked all-cause mortality. However, cardiovascular events not Cox regression analyses. Subgroup revealed most subgroups, mortality significantly higher those high than low ERI. Further balanced cohort, which attenuated baseline characteristic differences, confirmed maintained. Conclusions: Our reveals an association between

Language: Английский

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Screening of potential drugs for the treatment of diabetic kidney disease using single-cell transcriptome sequencing and connectivity map data

Biochemical and Biophysical Research Communications, Journal Year: 2024, Volume and Issue: 725, P. 150263 - 150263

Published: June 13, 2024

Language: Английский

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Krüppel-like factor 15 is a key suppressor of podocyte fibrosis under rotational force-driven pressure

Experimental Cell Research, Journal Year: 2019, Volume and Issue: 386(1), P. 111706 - 111706

Published: Nov. 5, 2019

Krüppel-like factor 15 (KLF15) is a well-known transcription associated with podocyte injury and fibrosis. Recently, hypertensive nephropathy was discovered to be closely related However, methods stimulate hypertension in vitro are lacking. Here, we constructed an model mimicking using rotational force device identify the role of KLF15 fibrosis due mechanically induced injury. First, found that expression decreased patients nephropathy. Then, study conducted, increase markers decrease levels were determined after application 4 mmHg pressure primary cultured human podocytes. tight junction protein increased retinoic acid treatment. siRNA-mediated inhibition exacerbated pressure-induced injury, treatment angiotensin II similar observed blood modeling device. Furthermore, reduced mechanical restored administration antihypertensive drug. also low vivo. We confirmed protective

Language: Английский

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Chronic Kidney Disease and SGLT2 Inhibitors

Journal of Korean Diabetes, Journal Year: 2024, Volume and Issue: 25(1), P. 16 - 25

Published: March 31, 2024

Sodium glucose cotransporter 2 (SGLT2) inhibitors were initially developed to enhance glycemic control in diabetic patients, but they have emerged as a promising treatment for individuals with chronic kidney disease (CKD) regardless of status. A collaborative meta-analysis large-scale SGLT2 inhibitor trials has provided compelling evidence supporting recommendations the use these agents CKD their primary diagnosis or whether diabetes. Notably, kidney-protective benefits been observed across various stages CKD, including advanced stage 4 and all levels albuminuria. Given robust highlighting broad spectrum should be considered foundational therapy order mitigate progression failure its associated complications. Although beneficial effects may not immediately apparent, are expected grow over time, potentially altering prognosis numerous patients.

Language: Английский

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Clinical Impact of the Use of Warfarin in Patients with Atrial Fibrillation Undergoing Maintenance Hemodialysis

Journal of Clinical Medicine, Journal Year: 2024, Volume and Issue: 13(8), P. 2404 - 2404

Published: April 20, 2024

Background: We evaluated the impact of warfarin use on clinical outcomes patients with atrial fibrillation who were undergoing hemodialysis (HD). Methods: A retrospective analysis was conducted utilizing data from maintenance HD participated in quality assessment programs. Patients assigned diagnostic code for (n = 4829) included and divided into two groups based warfarin: No group (no prescriptions 4009)), Warfarin (warfarin 820)). Results: Cox regression analyses revealed that hazard ratio all-cause mortality 1.15 (p 0.005) univariate 1.11 0.047) multivariable compared to group. Hemorrhagic stroke significantly associated use, but no significant association between ischemic or cardiovascular events observed. The subgroup results demonstrated similar trends. Conclusions: is a higher risk hemorrhagic stroke, has neutral effect are HD, those not using warfarin.

Language: Английский

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