ArticleRenal failure2024
Predictive nomogram model for severe coronary artery calcification in end-stage kidney disease patients.
Article in Renal failure, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
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Who cites it
7 citing papers in PubMed.
- Development and validation of a nomogram for predicting abdominal aortic calcification in maintenance hemodialysis patients.International urology and nephrology · 2026Article
- The possible mechanisms linking chronic obstructive pulmonary disease and coronary atherosclerosis based on coronary computed tomography angiography and animal experiments.Frontiers in physiology · 2026Article
- Progression of coronary artery calcification in chronic kidney disease: nonlinear associations with serum magnesium and parathyroid hormone.Frontiers in medicine · 2026Article
- Development and validation of a nomogram for predicting calcification of arteriovenous access in hemodialysis patients.Renal failure · 2025Article
- Predictive nomogram model for severe coronary artery calcification in end-stage kidney disease patients.Renal failure · 2024Article
- Individualizing the lifesaving journey for calciphylaxis: addressing rapidly progressive attacks with multidimensional and AI research for regenerative medicine.Renal failure · 2024Article
- The Impact of the Coronary Artery Calcium Score on the Clinical Outcomes in Patients with Acute Myocardial Infarction.Journal of clinical medicine · 2024Article
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14 authors.
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Abstract
introductionThe Agatston coronary artery calcification score (CACS) is an assessment index for coronary artery calcification (CAC). This study aims to explore the characteristics of CAC in end-stage kidney disease (ESKD) patients and establish a predictive model to assess the risk of severe CAC in patients.
methodsCACS of ESKD patients was assessed using an electrocardiogram-gated coronary computed tomography (CT) scan with the Agatston scoring method. A predictive nomogram model was established based on stepwise regression. An independent validation cohort comprised of patients with ESKD from multicentres.
results369 ESKD patients were enrolled in the training set, and 127 patients were included in the validation set. In the training set, the patients were divided into three subgroups: no calcification (CACS = 0,
conclusionCAC is both prevalent and severe in ESKD patients. In the four branches of the coronary arteries, LAD calcification is the most common. Our validated nomogram model, based on clinical risk factors, can help predict the risk of severe coronary calcification in ESKD patients who cannot undergo coronary CT analysis.
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