Literature DB >> 26757141

Functional Comorbidity Index in chronic rhinosinusitis.

Corinna G Levine1, Greg E Davis1, Edward M Weaver1,2.   

Abstract

BACKGROUND: The Functional Comorbidity Index is a promising tool to predict general health status and adjust for comorbidity confounding in outcomes studies of chronic conditions, but it has been tested as a predictor of general health status only in a sleep apnea cohort. We tested it in a chronic rhinosinusitis cohort with 2 objectives: (1) measure the association between the Functional Comorbidity Index (range, 0 to 18) and general health status (SF-36 Physical Component Score and Mental Component Score); and (2) test if the Functional Comorbidity Index is more strongly associated (a better predictor) than the well-known Charlson Comorbidity Index (range, 0 to 37) with these SF-36 outcome measures.
METHODS: In a cross-sectional study of chronic rhinosinusitis patients, we obtained scores for the Functional Comorbidity Index, Charlson Comorbidity Index, and the SF-36. We calculated Spearman correlations and adjusted coefficients of determination (R(2)) using multiple linear regression, adjusted for demographic covariates. Bootstrapping generated R(2) distributions for statistical comparison.
RESULTS: In the cohort (N = 97), the Functional Comorbidity Index scores (mean ± standard deviation: 2.2 ± 1.9) were more widely distributed than Charlson Comorbidity Index scores (0.6 ± 1.2). The Functional Comorbidity Index significantly correlated with the SF-36 Physical Component Score (-0.49, p < 0.001) and Mental Component Score (-0.37, p < 0.001). The Functional Comorbidity Index was a better predictor than the Charlson Comorbidity Index of SF-36 Physical Component Score (R(2) mean ± standard error: 0.21 ± 0.09 vs 0.15 ± 0.05; p < 0.001) and Mental Component Score (0.16 ± 0.10 vs 0.01 ± 0.06; p < 0.001).
CONCLUSION: The Functional Comorbidity Index is a more robust predictor of general health status than the Charlson Comorbidity Index in chronic rhinosinusitis patients.
© 2015 ARS‐AAOA, LLC.

Entities:  

Keywords:  comorbidity; confounding factors; health status; outcomes research; sinusitis

Mesh:

Year:  2015        PMID: 26757141      PMCID: PMC5940841          DOI: 10.1002/alr.21620

Source DB:  PubMed          Journal:  Int Forum Allergy Rhinol        ISSN: 2042-6976            Impact factor:   3.858


  23 in total

Review 1.  Causes and consequences of comorbidity: a review.

Authors:  R Gijsen; N Hoeymans; F G Schellevis; D Ruwaard; W A Satariano; G A van den Bos
Journal:  J Clin Epidemiol       Date:  2001-07       Impact factor: 6.437

2.  Assessing health-related quality of life following myocardial infarction: is the SF-12 useful?

Authors:  S Rubenach; B Shadbolt; J McCallum; T Nakamura
Journal:  J Clin Epidemiol       Date:  2002-03       Impact factor: 6.437

3.  A new comorbidity index: the health-related quality of life comorbidity index.

Authors:  Bhramar Mukherjee; Huang-Tz Ou; Fei Wang; Steven R Erickson
Journal:  J Clin Epidemiol       Date:  2010-12-13       Impact factor: 6.437

4.  Sensitivity of household reported medical conditions in the medical expenditure panel survey.

Authors:  Steven Machlin; Joel Cohen; Anne Elixhauser; Karen Beauregard; Claudia Steiner
Journal:  Med Care       Date:  2009-06       Impact factor: 2.983

5.  A power primer.

Authors:  J Cohen
Journal:  Psychol Bull       Date:  1992-07       Impact factor: 17.737

6.  Overview of the SF-36 Health Survey and the International Quality of Life Assessment (IQOLA) Project.

Authors:  J E Ware; B Gandek
Journal:  J Clin Epidemiol       Date:  1998-11       Impact factor: 6.437

7.  The importance of classifying initial co-morbidity in evaluating the outcome of diabetes mellitus.

Authors:  M H Kaplan; A R Feinstein
Journal:  J Chronic Dis       Date:  1974-09

8.  A new method of classifying prognostic comorbidity in longitudinal studies: development and validation.

Authors:  M E Charlson; P Pompei; K L Ales; C R MacKenzie
Journal:  J Chronic Dis       Date:  1987

9.  Comorbidity of chronic diseases: effects of disease pairs on physical and mental functioning.

Authors:  Mieke Rijken; Marion van Kerkhof; Joost Dekker; François G Schellevis
Journal:  Qual Life Res       Date:  2005-02       Impact factor: 4.147

10.  Current estimates from the National Health Interview Survey, 1995.

Authors:  V Benson; M A Marano
Journal:  Vital Health Stat 10       Date:  1998-10
View more
  5 in total

1.  Evaluating Distance Bias in Chronic Rhinosinusitis Outcomes.

Authors:  Amarbir S Gill; Daniel M Beswick; Jess C Mace; Dennis Menjivar; Shaelene Ashby; Ryan A Rimmer; Vijay R Ramakrishnan; Zachary M Soler; Jeremiah A Alt
Journal:  JAMA Otolaryngol Head Neck Surg       Date:  2022-06-01       Impact factor: 8.961

2.  The Impact of Medical Comorbidities on Patient Satisfaction in Chronic Rhinosinusitis.

Authors:  Amarbir S Gill; Joshua Hwang; Angela M Beliveau; Jeremiah A Alt; Edward Bradley Strong; Machelle D Wilson; Toby O Steele
Journal:  Ann Otol Rhinol Laryngol       Date:  2021-05-12       Impact factor: 1.547

Review 3.  Tools for the Assessment of Comorbidity Burden in Rheumatoid Arthritis.

Authors:  Fawad Aslam; Nasim Ahmed Khan
Journal:  Front Med (Lausanne)       Date:  2018-02-16

4.  Reliability and usability of a weighted version of the Functional Comorbidity Index.

Authors:  Anouk D Kabboord; Monica van Eijk; Lisette van Dingenen; Monique Wouters; Marieke Koet; Romke van Balen; Wilco P Achterberg
Journal:  Clin Interv Aging       Date:  2019-02-11       Impact factor: 4.458

5.  Cumulative comorbidity burden does not worsen outcomes in management of chronic rhinosinusitis.

Authors:  Amarbir S Gill; Jess C Mace; Ryan Rimmer; Vijay R Ramakrishnan; Daniel M Beswick; Zachary M Soler; James Manor; Richard R Orlandi; Timothy L Smith; Jeremiah A Alt
Journal:  Int Forum Allergy Rhinol       Date:  2021-07-14       Impact factor: 3.858

  5 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.