Literature DB >> 21058267

A new prognostic index for one-year survival in incident hemodialysis patients.

Sergio Marinovich1, Carlos Lavorato, Claudio Moriñigo, Eduardo Celia, Liliana Bisignano, Mariano Soratti, Daniela Hansen-Krogh.   

Abstract

PURPOSE: Although scoring comorbidities for patients beginning chronic hemodialysis has proved significant and has led researchers to develop several indexes, none of them has been extensively accepted. The aim of this study was to: 1) develop a prognostic index for patients entering renal replacement therapy; and 2) identify which one of the available scores better predicts one-year survival.
METHODS: Records from 5,360 incident dialysis-requiring ESRD individuals were studied and a novel comorbidity index (NI) was developed. The agreement of this NI with the Charlson age-comorbidity, Kahn-Wright, ACPI, and Hemmelgarn indexes was assessed to identify which one better predicts one-year survival. The Cox proportional hazard regression with time-dependent covariates was used to analyze survival and the area under the receiver operating characteristic (ROC) curve was calculated to assess the ability of this score to discriminate between prognoses and to compare this NI with indexes already in use.
RESULTS: 16 of the original 19 predictor variables displayed hazard ratios =1.2. Although the area under the ROC curves for all the indexes compared were significantly different from 0.5, the NI showed better performance characteristics (0.74 vs. 0.70 for Charlson's, 0.68 for ACPI, 0.67 for Khan-Wright's and 0.63 for Hemmelgarn's). Compared with the Charlson score, the z statistic was 7.78 (p<0.001). One-year survival estimate for the high-risk group was 43% with the NI and ranged from 66% to 72% when assessed through other indexes.
CONCLUSIONS: We recommend the use of this NI because it better predicts the one-year survival probability of incident hemodialysis-requiring ESRD individuals.

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Year:  2010        PMID: 21058267

Source DB:  PubMed          Journal:  Int J Artif Organs        ISSN: 0391-3988            Impact factor:   1.595


  4 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.  Development of a risk stratification algorithm to improve patient-centered care and decision making for incident elderly patients with end-stage renal disease.

Authors:  Cécile G Couchoud; Jean-Baptiste R Beuscart; Jean-Claude Aldigier; Philippe J Brunet; Olivier P Moranne
Journal:  Kidney Int       Date:  2015-09-02       Impact factor: 10.612

3.  Comorbidity burden at dialysis initiation and mortality: A cohort study.

Authors:  Alwyn T Gomez; Bryce A Kiberd; J Patrick Royston; Talal Alfaadhel; Steven D Soroka; Brenda R Hemmelgarn; Karthik K Tennankore
Journal:  Can J Kidney Health Dis       Date:  2015-09-08

4.  Multivariable prognostic model for dialysis patients with end stage renal disease: An observational cohort study of Pakistan by external validation.

Authors:  Maryam Siddiqa; Alan Charles Kimber; Javid Shabbir
Journal:  Saudi Med J       Date:  2021-07       Impact factor: 1.422

  4 in total

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