Literature DB >> 20346534

Use of desirability functions to evaluate health status in patients with cirrhosis.

Chris Gennings1, Douglas Heuman, Otis Fulton, Arun J Sanyal.   

Abstract

BACKGROUND & AIMS: There is a need for methods that provide a quantitative assessment of a patient's global health status, especially as regards quality of life, prognosis, and impact of therapeutic interventions. We propose that desirability functions, widely used in industrial quality control, can be adapted to obtain a numerical "wellness" score, incorporating numerous easily measured clinical parameters, that reflects a patient's overall clinical status and prognosis on a scale from 0 (worst) to 1 (best).
METHODS: In this pilot study, we used this approach to develop a Cirrhosis Relative Wellness Index for use with patients with liver disease. We relied on expert opinion to select 10 parameters of interest and to determine the desirability function for each parameter. A composite index was then developed and tested using data from 109 cirrhotic subjects enrolled in the North American Study for the Treatment of Refractory Ascites (NASTRA). The index was independently validated using a separate database obtained from a review of records of 1342 cirrhotic patients referred for liver transplantation candidacy in the Veterans Health System between 1997 and 2008.
RESULTS: In both datasets, the Cirrhosis Relative Wellness Index was significantly associated with transplant-free survival using either a proportional hazards model or a logrank test (where the index was dichotomised).
CONCLUSION: Desirability function modelling represents a promising new approach to quantitatively estimating global health status. Copyright (c) 2010 European Association for the Study of the Liver. All rights reserved.

Entities:  

Mesh:

Year:  2010        PMID: 20346534     DOI: 10.1016/j.jhep.2009.12.026

Source DB:  PubMed          Journal:  J Hepatol        ISSN: 0168-8278            Impact factor:   25.083


  4 in total

1.  Linking empirical estimates of body burden of environmental chemicals and wellness using NHANES data.

Authors:  Chris Gennings; Rhonda Ellis; Joseph K Ritter
Journal:  Environ Int       Date:  2011-11-01       Impact factor: 9.621

2.  Dual-photon microscopy-based quantitation of fibrosis-related parameters (q-FP) to model disease progression in steatohepatitis.

Authors:  Yan Wang; Robert Vincent; Jinlian Yang; Amon Asgharpour; Xieer Liang; Michael O Idowu; Melissa J Contos; Kalyani Daitya; Mohammed S Siddiqui; Faridoddin Mirshahi; Arun J Sanyal
Journal:  Hepatology       Date:  2017-04-28       Impact factor: 17.425

3.  Incorporating regulatory guideline values in analysis of epidemiology data.

Authors:  Chris Gennings; Huan Shu; Christina Rudén; Mattias Öberg; Christian Lindh; Hannu Kiviranta; Carl-Gustaf Bornehag
Journal:  Environ Int       Date:  2018-08-28       Impact factor: 9.621

4.  Development and Validation of a Clinical Risk-Assessment Tool Predictive of All-Cause Mortality.

Authors:  Ghalib A Bello; Gerard G Dumancas; Chris Gennings
Journal:  Bioinform Biol Insights       Date:  2015-09-01
  4 in total

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