ArticleKidney international2015
Development and validation of a predictive mortality risk score from a European hemodialysis cohort.
Article in Kidney international, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 84 papers, 2 of them syntheses that pooled it.
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Who cites it
84 citing papers in PubMed, 2 syntheses or guidelines pooled it.
- Mortality Risk Prediction Models for People With Kidney Failure: A Systematic Review.JAMA network open · 2025Pooled it
- I Brazilian guideline on hypertension in dialysis of the Brazilian Society of Nephrology.Jornal brasileiro de nefrologiaGuideline
- Dialysis Initiation in Patients With Chronic Coronary Disease and Advanced Chronic Kidney Disease in ISCHEMIA-CKD.Journal of the American Heart Association · 2022Trial
- Development and validation of the dialysis dementia risk score: A retrospective, population-based, nested case-control study.European journal of neurology · 2022Trial
- Improved cardiovascular risk prediction in patients with end-stage renal disease on hemodialysis using machine learning modeling and circulating microribonucleic acids.Theranostics · 2020Trial
- Trial
- Validating a Patient-Reported Comorbidity Measure with Respect to Quality of Life in End-Stage Renal Disease.PloS one · 2016Trial
- Article
- Developing an explainable machine learning model using body composition to predict cardiovascular mortality in initial dialysis patients: a multicenter study.Frontiers in physiology · 2026Article
- Nomogram predicting 2 year overall survival in dialysis patients with lower extremity peripheral arterial disease after endovascular therapy: a multicenter prospective cohort study.Cardiovascular intervention and therapeutics · 2025Article
- Malignancy in Dialysis Patients-How Serious Is the Problem, Especially in Relation to Waiting List Status?Cancers · 2025Article
- Predicting 3-year all-cause mortality in patients undergoing hemodialysis using machine learning.Journal of nephrology · 2025Article
- Glycemic Management and Individualized Diabetes Care in Dialysis-Dependent Kidney Failure.Diabetes care · 2025Review
- Machine learning model and nomogram to predict the risk of heart failure hospitalization in peritoneal dialysis patients.Renal failure · 2024Article
- Predicting early mortality in hemodialysis patients: a deep learning approach using a nationwide prospective cohort in South Korea.Scientific reports · 2024Article
- Inflammatory index is a promising biomarker for maintenance hemodialysis patients with cardiovascular disease.European journal of medical research · 2024Article
- COVID-19 increases mortality in hemodialysis patients: exploring links with inflammation and telomere attrition.Molecular biology reports · 2024Article
- Association of diabetes with cardiovascular calcification and all-cause mortality in end-stage renal disease in the early stages of hemodialysis: a retrospective cohort study.Cardiovascular diabetology · 2024Article
- External validation of the 2-year mortality prediction tool in hemodialysis patients developed using a Bayesian network.Clinical kidney journal · 2024Article
- Review
24 more citing papers are in PubMed but not listed here.
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Authors and funding
11 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Although mortality risk scores for chronic hemodialysis (HD) patients should have an important role in clinical decision-making, those currently available have limited applicability, robustness, and generalizability. Here we applied a modified Framingham Heart Study approach to derive 1- and 2-year all-cause mortality risk scores using a 11,508 European incident HD patient database (AROii) recruited between 2007 and 2009. This scoring model was validated externally using similar-sized Dialysis Outcomes and Practice Patterns Survey (DOPPS) data. For AROii, the observed 1- and 2-year mortality rates were 13.0 (95% confidence interval (CI; 12.3-13.8)) and 11.2 (10.4-12.1)/100 patient years, respectively. Increasing age, low body mass index, history of cardiovascular disease or cancer, and use of a vascular access catheter during baseline were consistent predictors of mortality. Among baseline laboratory markers, hemoglobin, ferritin, C-reactive protein, serum albumin, and creatinine predicted death within 1 and 2 years. When applied to the DOPPS population, the predictive risk score models were highly discriminatory, and generalizability remained high when restricted by incidence/prevalence and geographic location (C-statistics 0.68-0.79). This new model offers improved predictive power over age/comorbidity-based models and also predicted early mortality (C-statistic 0.71). Our new model delivers a robust and reproducible mortality risk score, based on readily available clinical and laboratory data.
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