ArticleHemodialysis international. International Symposium on Home Hemodialysis2019
Early withdrawal and non-withdrawal death in the months following hemodialysis initiation: A retrospective cohort analysis.
Article in Hemodialysis international. International Symposium on Home Hemodialysis, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
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Who cites it
5 citing papers in PubMed.
- The Association of Social Determinants of Health on Mortality among Adults with End-Stage Kidney Disease: a Systematic Review and Meta-Analysis.Journal of racial and ethnic health disparities · 2026Review
- Parameters affecting prognosis after hemodialysis withdrawal: experience from a single center.Clinical and experimental nephrology · 2022Article
- Changing landscape of dialysis withdrawal in patients with kidney failure: Implications for clinical practice.Nephrology (Carlton, Vic.) · 2022Review
- Temporal changes and risk factors for death from early withdrawal within 12 months of dialysis initiation-a cohort study.Nephrology, dialysis, transplantation : official publication of the European Dialysis and Transplant Association - European Renal Association · 2022Article
- Factors Associated with Elective Withdrawal of Maintenance Hemodialysis: A Case-Control Analysis.American journal of nephrology · 2020Article
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Abstract
introductionWhether and how factors associated with elective hemodialysis withdrawal differ from those associated with non-withdrawal death soon after maintenance hemodialysis initiation have not been well studied.
methodsA retrospective cohort analysis was performed using USRDS data from 2011 to 2014. Patients were randomly categorized 2:1 into training and validation samples. Elective withdrawal deaths were identified using the Death Notification form. Multinomial logistic regression was used to fit a prediction model for three outcome categories (withdrawal, non-withdrawal death, survival at 6 months) as a function of demographic, comorbidity, and functional status.
findingsThe training sample comprised 80,284 hemodialysis patients. Mean age was 71.7 ± 11.4 years, 44.9% were female, 72.9% were white, and 22.8% were black. Within 6 months, 19.1% died, of whom 2099 (2.6%) withdrew and 13,223 (16.5%) died of a non-withdrawal cause; 13.7% of all deaths were withdrawals. Baseline characteristics and event rates were similar among the 40,142 patients in the validation sample. The model was calibrated adequately and could discriminate moderately well between withdrawal and survival (area under ROC curve [AUC]: 0.77) and between non-withdrawal death and survival (AUC: 0.73). However, discrimination between withdrawal and non-withdrawal death was relatively low (AUC: 0.62). Older age and white, compared with non-white, race were each associated with greater odds of death, and these associations were stronger for withdrawal than for non-withdrawal death. DISCUSSION: Advanced age and white, as opposed to black, race were most strongly associated with early elective hemodialysis withdrawal compared with non-withdrawal death. However, it is difficult to differentiate between patients who will experience early withdrawal vs. non-withdrawal death, as many factors are similarly associated with both outcomes.
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