Background: Recent studies have mainly focused on the roles of serum calcium and phosphorus product in the development of valvular heart failure. We determined the association of calcium-phosphorus product with the severity of heart valve failure in patients under chronic hemodialysis (being under hemodialysis for 6 months or more) in Boo-Ali Hospital in 2012 and 2013.
Methods: It was a cross-sectional, descriptive, comparative study. Thirty-three patients undergoing chronic hemodialysis were recruited to the study. All the patients were hospitalized at Boo-Ali Hospital. The study was done in a 2 years long time frame and the association of calcium-phosphorus product and severity of heart valve failure was evaluated among them.
Results: The results demonstrated that there was no significant association between age, gender, renal failure cause and hemodialysis duration (P > 0.05). Our results showed a negative correlation between the severity of cardiac valves failure and CA × P level. It was not a meaningful correlation though (P > 0.05).
Conclusions: Based on the obtained results, it is concluded that there is not any association between calcium-phosphorus product and the severity of heart valve failure in patients under chronic hemodialysis.
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http://dx.doi.org/10.14740/cr465w | DOI Listing |
World J Diabetes
January 2025
Department of Endocrinology, Wuhu Second People's Hospital, Wuhu 241000, Anhui Province, China.
Background: The progression of diabetic kidney disease (DKD) affects the patient's kidney glomeruli and tubules, whose normal functioning is essential for maintaining normal calcium (Ca) and phosphorus (P) metabolism in the body. The risk of developing osteoporosis (OP) in patients with DKD increases with the aggravation of the disease, including a higher risk of fractures, which not only affects the quality of life of patients but also increases the risk of death.
Aim: To analyze the risk factors for the development of OP in patients with DKD and their correlation with Ca-P metabolic indices, fibroblast growth factor 23 (FGF23), and Klotho.
Poult Sci
January 2025
Department of Preventive Veterinary Medicine, College of Veterinary Medicine, Shandong Agricultural University, Taian, 271017, China; Shandong Provincial Key Laboratory of Zoonoses, Shandong, Taian, 271017, China. Electronic address:
Duck circovirus (DuCV) infected multiple breeds of ducks and was widespread in duck factories worldwide. Infected ducks exhibited feathering disorder, growth retardation and immunosuppression, which lead to secondary infection with other pathogens easily. But till now, there has been little research on the study of DuCV due to the absence of appropriate cultural measures.
View Article and Find Full Text PDFJ Contam Hydrol
January 2025
Hebei Key Laboratory of Crop Stress Biology, Hebei Normal University of Science and Technology, Qinhuangdao 066000, China.
Livestock manure, a common fertilizer in Chinese agriculture, can lead to environmental contamination and potential health risks due to elevated antibiotic and phosphorus levels. Importantly, the high phosphorus levels initiates transformations of phosphate minerals in soils, especially calcareous soils. These variations in phosphate mineralogy can significantly impact the migration and fate of antibiotics within the soil.
View Article and Find Full Text PDFBMC Nephrol
January 2025
Department of Nephrology, Southern University of Science and Technology Hospital, Shenzhen, China.
Background: Calcification of the radial artery is one of the main causes of anastomotic stenosis in autogenous arteriovenous fistulas in uremic patients. However, the pathogenesis of calcification is still unknown. This study attempted to screen and validate the risk factors for vascular calcification in patients with uremia.
View Article and Find Full Text PDFZhong Nan Da Xue Xue Bao Yi Xue Ban
August 2024
Department of Cardiology, Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou 310009.
Objectives: The high incidence of coronary artery heart disease (CHD) poses a significant burden and challenge to public health systems globally. Effective prevention and early diagnosis of CHD have become key strategies to alleviate this burden. This study aims to explore the application of advanced machine learning techniques to enhance the accuracy of early screening and risk assessment for CHD.
View Article and Find Full Text PDFEnter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!