Predicting mortality risk in dialysis: Assessment of risk factors using traditional and advanced modeling techniques within the Monitoring Dialysis Outcomes initiative-Reference-Cited by-同舟云学术

Predicting mortality risk in dialysis: Assessment of risk factors using traditional and advanced modeling techniques within the Monitoring Dialysis Outcomes initiative

Published:2022-11-20 Issue:1 Volume:27 Page:62-73
ISSN:1492-7535
Container-title:Hemodialysis International
language:en
Short-container-title:Hemodialysis International

Author:

Chaudhuri Sheetal¹²^ORCID,Larkin John¹,Guedes Murilo³,Jiao Yue¹,Kotanko Peter⁴⁵,Wang Yuedong⁶,Usvyat Len¹,Kooman Jeroen P.²

Affiliation:

1. Fresenius Medical Care Global Medical Office Waltham Massachusetts USA

2. Maastricht University Medical Center Maastricht The Netherlands

3. Pontifícia Universidade Católica do Paraná Curitiba Brazil

4. Renal Research Institute New York New York USA

5. Icahn School of Medicine at Mount Sinai New York New York USA

6. University of California Santa Barbara California USA

Funder

Fresenius Medical Care North America

Publisher

Wiley

Subject

Nephrology,Hematology

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1111/hdi.13053

Reference43 articles.

1. Body Composition and Survival in Dialysis Patients: Results from an International Cohort Study

2. An association between time-varying serum albumin level and the mortality rate in maintenance haemodialysis patients: a five-year clinical cohort study

3. Impact of fluid status and inflammation and their interaction on survival: a study in an international hemodialysis patient cohort

4. Bioimpedance-defined overhydration predicts survival in end stage kidney failure (ESKF): systematic review and subgroup meta-analysis

5. Three compartment bioimpedance spectroscopy in the nutritional assessment and the outcome of patients with advanced or end stage kidney disease: What have we learned so far?

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