ArticleDiagnostics (Basel, Switzerland)2021
A Growth Differentiation Factor 15-Based Risk Score Model to Predict Mortality in Hemodialysis Patients.
Article in Diagnostics (Basel, Switzerland), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 1 of them a synthesis that pooled it.
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Who cites it
9 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Circulating growth differentiation factor-15 concentration and hypertension risk: a dose-response meta-analysis.Frontiers in cardiovascular medicine · 2025Pooled it
- CCN2/CTGF-Driven Myocardial Fibrosis and NT-proBNP Synergy as Predictors of Mortality in Maintenance Hemodialysis.International journal of molecular sciences · 2025Article
- Early Versus Late Initiation of Dialysis in CKD Stage 5: Time for a Consensus.Kidney international reports · 2025Review
- A novel nomogram for predicting mortality risk in young and middle-aged patients undergoing maintenance hemodialysis: a retrospective study.Frontiers in medicine · 2024Article
- Translational Medicine in Uremic Vascular Calcification: Scavenging ROS Attenuates p-Cresyl Sulfate-Activated Caspase-1, NLRP3 Inflammasome and Eicosanoid Inflammation in Human Arterial Smooth Muscle Cells.Life (Basel, Switzerland) · 2022Article
- Serum Growth Differentiation Factor-15/Albumin Ratio as a 2-Year Survival Marker of End-Stage Renal Disease Patients Initiating Maintenance Hemodialysis.Diagnostics (Basel, Switzerland) · 2022Article
- Serum growth differentiation factor-15 analysis as a malnutrition marker in hemodialysis patientsTurkish journal of medical sciences · 2021Article
- Fat-Bone Relationship in Chronic Kidney Disease-Mineral Bone Disorders: Adiponectin Is Associated with Skeletal Events among Hemodialysis Patients.Diagnostics (Basel, Switzerland) · 2021Article
- CirculatingToxins · 2021Article
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Authors and funding
4 authors.
Funding
Abstract
backgroundThe risk of cardiovascular (CV) and fatal events remains extremely high in patients with maintenance hemodialysis (MHD), and the growth differentiation factor 15 (GDF15) has emerged as a valid risk stratification biomarker. We aimed to develop a GDF15-based risk score as a death prediction model for MHD patients.
methodsAge, biomarker levels, and clinical parameters were evaluated at study entry. One hundred and seventy patients with complete information were finally included for data analysis. We performed the Cox regression analysis of various prognostic factors for mortality. Then, age, GDF15, and robust clinical predictors were included as a risk score model to assess the predictive accuracy for all-cause and CV death in the receiver operating characteristic (ROC) curve analysis.
resultsAge, GDF15, and albumin were significantly associated with higher all-cause and CV mortality risk that were combined as a risk score model. The highest tertile of GDF-15 (>1707.1 pg/mL) was associated with all-cause mortality (adjusted hazard ratios (aHRs): 3.06 (95% confidence interval (CI): 1.20-7.82),
conclusionAge, GDF15, and hypoalbuminemia predict all-cause and CV death in MHD patients, yet a combination scoring system provides more robust predictive powers. An elevated GDF15-based risk score warns clinicians to determine an appropriate intervention in advance. In light of this, the GDF15-based death prediction model could be developed in the artificial intelligence-based precision medicine.
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