Synopsis of recent research by authors named "Zhiyun Zang"
Zhiyun Zang's research primarily focuses on the evaluation of biomarkers and machine learning algorithms related to peritoneal dialysis (PD) patients, with a specific interest in cardiovascular events, technique failure in peritoneal dialysis-associated peritonitis (PDAP), and peritoneal membrane transport function.*
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Recent studies highlight the importance of soluble suppression of tumorigenicity-2 (sST2) and N-terminal pro-brain natriuretic peptide (NT-proBNP) as predictive biomarkers for cardiovascular risks and technique failure in patients undergoing peritoneal dialysis.*
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Zang also explores various methodologies for enhancing treatment strategies in dialysis, including randomized controlled trials comparing automated versus manual fluid exchange methods and the implementation of machine learning models for predicting technique failure in PDAP patients.*
