Literature DB >> 8203366

Advance prediction of early death in patients starting maintenance dialysis.

R N Foley1, P S Parfrey, D Hefferton, I Singh, A Simms, B J Barrett.   

Abstract

Accurate information on short-term prognosis is needed to help patients, their doctors, and society to make appropriate decisions concerning starting dialysis. We sought to develop a clinically applicable prognostic scoring system to aid in the prediction of death within 6 months of starting maintenance dialysis. Factors potentially predictive of early death were examined retrospectively in an inception cohort of all 325 patients starting dialysis for irreversible renal failure between 1980 and 1991 at a single tertiary care center. The overall mortality rate was 22% at 6 months. Age, cardiac failure, ischemic heart disease, dysrhythmia requiring therapy, severe peripheral vascular disease, advanced neoplasia, ventilator dependency, coma, systemic sepsis, and hepatic failure were independent, significant, prognostic indicators for early death. Multivariate models were used to suggest weights for these variables in a simplified scoring system. Patients with scores < or = 4 (N = 201) had a 6-month mortality rate of 4%, whereas those with a score higher than 9 (N = 21) had a 6-month mortality rate of 100%. Thus, when age and multiple comorbid illnesses were taken into account, it was possible to identify with 100% accuracy 29% of the patients who died within 6 months of starting maintenance dialysis therapy, accounting for 6.5% of the cohort studied. A larger prospective study is warranted to validate this scoring system.

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Mesh:

Year:  1994        PMID: 8203366     DOI: 10.1016/s0272-6386(12)80137-5

Source DB:  PubMed          Journal:  Am J Kidney Dis        ISSN: 0272-6386            Impact factor:   8.860


  18 in total

1.  Prediction of Risk of Death for Patients Starting Dialysis: A Systematic Review and Meta-Analysis.

Authors:  Ryan T Anderson; Hailey Cleek; Atieh S Pajouhi; M Fernanda Bellolio; Ananya Mayukha; Allyson Hart; LaTonya J Hickson; Molly A Feely; Michael E Wilson; Ryan M Giddings Connolly; Patricia J Erwin; Abdul M Majzoub; Navdeep Tangri; Bjorg Thorsteinsdottir
Journal:  Clin J Am Soc Nephrol       Date:  2019-07-30       Impact factor: 8.237

2.  Relationship between major adverse cardiac events and angiographic findings in dialysis patients.

Authors:  F Fabbian; G Cacici; V De Biase; T Yabarek; C Gangemi; L Franceschini; A De Giorgi; P Benussi; A Lupo; F Portaluppi
Journal:  Int Urol Nephrol       Date:  2010-09-02       Impact factor: 2.370

3.  Dietary potassium intake and mortality in long-term hemodialysis patients.

Authors:  Nazanin Noori; Kamyar Kalantar-Zadeh; Csaba P Kovesdy; Sameer B Murali; Rachelle Bross; Allen R Nissenson; Joel D Kopple
Journal:  Am J Kidney Dis       Date:  2010-06-30       Impact factor: 8.860

4.  Age, Gender and Diabetes as Risk Factors for Early Mortality in Dialysis Patients: A Systematic Review.

Authors:  Adil M Hazara; Sunil Bhandari
Journal:  Clin Med Res       Date:  2021-02-13

5.  A Machine Learning Model for Predicting Mortality within 90 Days of Dialysis Initiation.

Authors:  Summer Rankin; Lucy Han; Rebecca Scherzer; Susan Tenney; Matthew Keating; Kimberly Genberg; Matthew Rahn; Kenneth Wilkins; Michael Shlipak; Michelle Estrella
Journal:  Kidney360       Date:  2022-07-20

6.  Shared decision-making in advanced kidney disease: a scoping review.

Authors:  Noel Engels; Gretchen N de Graav; Paul van der Nat; Marinus van den Dorpel; Anne M Stiggelbout; Willem Jan Bos
Journal:  BMJ Open       Date:  2022-09-21       Impact factor: 3.006

7.  Angiographical severity of coronary atherosclerosis predicts death in the first year of hemodialysis.

Authors:  Nobuhiko Joki; Hiroki Hase; Yasunori Takahashi; Hiroyasu Ishikawa; Ryoichi Nakamura; Yoshihiko Imamura; Yuri Tanaka; Tomokatsu Saijyo; Masayuki Fukazawa; Yoji Inishi; Masato Nakamura; Tetsu Yamaguchi
Journal:  Int Urol Nephrol       Date:  2003       Impact factor: 2.370

Review 8.  Mechanisms of the cardiorenal syndromes.

Authors:  M Khaled Shamseddin; Patrick S Parfrey
Journal:  Nat Rev Nephrol       Date:  2009-09-29       Impact factor: 28.314

9.  Development and validation of a predictive mortality risk score from a European hemodialysis cohort.

Authors:  Jürgen Floege; Iain A Gillespie; Florian Kronenberg; Stefan D Anker; Ioanna Gioni; Sharon Richards; Ronald L Pisoni; Bruce M Robinson; Daniele Marcelli; Marc Froissart; Kai-Uwe Eckardt
Journal:  Kidney Int       Date:  2015-02-04       Impact factor: 10.612

10.  Predicting mortality in hemodialysis patients using machine learning analysis.

Authors:  Victoria Garcia-Montemayor; Alejandro Martin-Malo; Carlo Barbieri; Francesco Bellocchio; Sagrario Soriano; Victoria Pendon-Ruiz de Mier; Ignacio R Molina; Pedro Aljama; Mariano Rodriguez
Journal:  Clin Kidney J       Date:  2020-08-11
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