Literature DB >> 23812362

The dynamics of prognostic indicators: toward earlier identification of dialysis patients with a high risk of dying.

Charles Chazot1, Guillaume Jean.   

Abstract

Mortality remains stubbornly high in patients receiving chronic dialysis treatment. Identifying at-risk patients is essential for implementation of supportive therapies. The Monitoring Dialysis Outcomes (MONDO) database shows that in 40,000 dialysis patients worldwide who died, systolic blood pressure, interdialytic weight gain, and serum albumin declined progressively, and C-reactive protein increased more than 12 months before death, indicating that predictive models may be developed to enable nephrologists to improve the clinical outcome of dialysis patients.

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Year:  2013        PMID: 23812362     DOI: 10.1038/ki.2013.120

Source DB:  PubMed          Journal:  Kidney Int        ISSN: 0085-2538            Impact factor:   10.612


  3 in total

1.  Early changes in body weight and blood pressure are associated with mortality in incident dialysis patients.

Authors:  Flore Duranton; Yohan Duny; Ilan Szwarc; Sébastien Deleuze; Catherine Rouanet; Isabelle Selcer; François Maurice; Jean-Pierre Rivory; Marie-Françoise Servel; Bernard Jover; Philippe Brunet; Jean-Pierre Daurès; Àngel Argilés
Journal:  Clin Kidney J       Date:  2016-01-29

2.  Prediction models for the mortality risk in chronic dialysis patients: a systematic review and independent external validation study.

Authors:  Chava L Ramspek; Pauline Wm Voskamp; Frans J van Ittersum; Raymond T Krediet; Friedo W Dekker; Merel van Diepen
Journal:  Clin Epidemiol       Date:  2017-09-05       Impact factor: 4.790

3.  Serum albumin at 1 year after peritoneal dialysis predicts long-term outcomes on continuous ambulatory peritoneal dialysis.

Authors:  Li Jin; Xiaopei Wang; Ying Ma; Jie Zheng; Wanhong Lu; Liyi Xie; Jing Lv
Journal:  Ren Fail       Date:  2022-12       Impact factor: 2.606

  3 in total

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