Please wait while we open this resource.
K
Clinical reviews
PD-PREDICT: A Machine Learning Model for Patient Survival in Peritoneal Dialysis
University Hospitals of Wales, UK Kidney Registry, Escuela Superior Politécnica del Litoral, Oslo University Hospital, University Medical Centre Ljubljana
PDF9 pages922 KB
Accurate survival prediction in peritoneal dialysis (PD) patients is essential for personalized treatment planning and shared decision-making. The PD-PREDICT model was developed through a retrospective cohort study involving 22,711 incident PD patients treated between 2007 and 2022. The model's performance was rigorously evaluated using various statistical methods, demonstrating its potential as a reliable tool for predicting patient outcomes in PD.
Sign in to open
Ask this resource
Answers use this document only.
Your first question is free.
More like this
Resources from the same specialty and type. Curated links will replace these when added.
Clinical Resources
Documents that extend or complement this resource.
CARDIOVASCULAR COMPLICATIONS IN CHRONIC KIDNEY DISEASE: A REVIEW FROM THE EUROPEAN RENAL AND CARDIOVASCULAR MEDICINE WORKING GROUP OF THE EUROPEAN RENAL ASSOCIATION
Same clinical topic · Nephrology
THE ASSOCIATION BETWEEN DUAL RAAS INHIBITION AND RISK OF ACUTE KIDNEY INJURY AND HYPERKALEMIA IN PATIENTS WITH DIABETIC KIDNEY DISEASE: A SYSTEMATIC REVIEW AND META-ANALYSIS
Same clinical topic · Nephrology
OBESITY IN CKD: CORE CURRICULUM 2026
Same clinical topic · Nephrology
OBESITY IN CKD: CORE CURRICULUM 2026
Same clinical topic · Nephrology
ACUTE GLOMERULONEPHRITIS
Same clinical topic · Nephrology
DISEASE MODIFICATION IN LUPUS NEPHRITIS: TOWARDS A PATHOPHYSIOLOGY-BASED TREATMENT PARADIGM
Same clinical topic · Nephrology
Effects of correction rate for severe hyponatremia in the intensive care unit on patient outcomes
Same clinical topic · Nephrology
CURRENT UNDERSTANDING OF SODIUM-GLUCOSE TRANSPORTER 2 INHIBITORS IN CARDIOVASCULAR-KIDNEY-METABOLIC SYNDROME
Same clinical topic · Nephrology
A COMPREHENSIVE REVIEW OF ACUTE CARDIO-RENAL SYNDROME: NEED FOR NOVEL BIOMARKERS
Same clinical topic · Nephrology