Purpose: To investigate whether patients with chronic kidney disease (CKD) are at increased risk of uveitis.
Methods: Data was collected from the Taiwan National Health Insurance system and included patients newly diagnosed with CKD between 2000 and 2012. The endpoint of interest was a diagnosis of uveitis.
Results: 30,256 CKD patients and 121,024 matched comparisons were analyzed. CKD patients were found to have a significantly higher cumulative uveitis incidence. Through multivariate Cox regression analysis, the CKD group was found to have higher risk of developing uveitis (adjusted hazard ratio 1.51). After stratified by gender, age, and comorbidities (hypertension, diabetes, and hyperlipidemia), the increased risk of uveitis in CKD patients remained significant.
Conclusions: Patients with CKD were found to have higher risk of developing uveitis. For patients over 18 years old and with hypertension, diabetes, or hyperlipidemia, the presence of CKD was demonstrated as an additional crucial factor for uveitis development.
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http://dx.doi.org/10.1080/09273948.2021.1976213 | DOI Listing |
PLoS One
January 2025
Department of Clinical Physiology, Karolinska University Hospital, Stockholm, Sweden.
Background: The causes of reduced aerobic exercise capacity (ExCap) in chronic kidney disease (CKD) are multifactorial, possibly involving the accumulation of tryptophan (TRP) metabolites such as kynurenine (KYN) and kynurenic acid (KYNA), known as kynurenines. Their relationship to ExCap has yet to be studied in CKD. We hypothesised that aerobic ExCap would be negatively associated with plasma levels of TRP, KYN and KYNA in CKD.
View Article and Find Full Text PDFClin Exp Nephrol
January 2025
Kawasaki Medical School, Department of Nephrology and Hypertension, Kurashiki, Japan.
Background: Chronic kidney disease (CKD) represents a significant public health challenge, with rates consistently on the rise. Enhancing kidney function prediction could contribute to the early detection, prevention, and management of CKD in clinical practice. We aimed to investigate whether deep learning techniques, especially those suitable for processing missing values, can improve the accuracy of predicting future renal function compared to traditional statistical method, using the Japan Chronic Kidney Disease Database (J-CKD-DB), a nationwide multicenter CKD registry.
View Article and Find Full Text PDFAging (Albany NY)
January 2025
Department of Medicine, Division of Nephrology, Taipei Tzu Chi Hospital, Buddhist Tzu Chi Medical Foundation, New Taipei City 23142, Taiwan.
Introduction: Bone turnover markers reflected the bone remodeling process and bone health in clinical studies. Studies on variation of bone remodeling markers in different stage CKD were scant, and this study investigated the role of bedside intradialytic cycling in altering concentrations of bone-remodeling markers in patients with end-stage renal disease (ESRD).
Materials And Methods: Participants were segmented into four groups: a group with eGFR >60 ml/min/1.
Med J Malaysia
January 2025
International Medical University, Department of Orthopaedics, Kuala Lumpur, Malaysia.
Introduction: This study focuses on the association between musculoskeletal disorders and chronic kidney disease (CKD), specifically end-stage kidney disease (ESKD). Its primary objective is to explore the spectrum of musculoskeletal disorders and to identify their prevalence rates and symptoms within diverse CKD subpopulations.
Materials And Methods: The screening process yielded 13 studies conducted in various countries and regions.
J Bone Miner Res
January 2025
Department of Radiology and Biomedical Imaging, University of California, San Francisco, CA, United States.
Bone turnover assessment and monitoring are essential for chronic kidney disease (CKD)-associated bone care. Patients with CKD suffer from significantly elevated fracture risk due to abnormally high or low bone turnover, which requires diametrically opposite treatments informed by patient-specific bone turnover data. However, a reliable, accessible, non-invasive bone turnover assessment and monitoring tool remains an unmet clinical need.
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