Archives of Physical Medicine and Rehabilitation
Volume 89, Issue 7 , Pages 1276-1283, July 2008

Validation of the Charlson Comorbidity Index for Predicting Functional Outcome of Stroke

  • Annie Tessier, MPH

      Affiliations

    • School of Physical and Occupational Therapy, Faculty of Medicine, McGill University, Montreal, QC, Canada
    • Corresponding Author InformationReprint requests to Annie Tessier, MPH, Royal Victoria Hospital, Div of Clinical Epidemiology, 687 Pine Ave W, Ross 4:00, Montreal, QC H3A 1A1, Canada
  • ,
  • Lois Finch, PhD

      Affiliations

    • School of Physical and Occupational Therapy, Faculty of Medicine, McGill University, Montreal, QC, Canada
  • ,
  • Stella S. Daskalopoulou, MD, PhD

      Affiliations

    • Department of Epidemiology and Biostatistics and Occupational Health, Faculty of Medicine, McGill University, Montreal, QC, Canada.
  • ,
  • Nancy E. Mayo, PhD

      Affiliations

    • School of Physical and Occupational Therapy, Faculty of Medicine, McGill University, Montreal, QC, Canada
    • Department of Epidemiology and Biostatistics and Occupational Health, Faculty of Medicine, McGill University, Montreal, QC, Canada.

Abstract 

Tessier A, Finch L, Daskalopoulou SS, Mayo NE. Validation of the Charlson Comorbidity Index for predicting functional outcome of stroke.

Objective

To determine whether a separate comorbidity index is needed to predict functional outcome after stroke, we compared the predictability of the Charlson Comorbidity Index (CMI) and the Functional Comorbidity Index (FCI) to that of a stroke-specific comorbidity index with function quantified with a measure developed with a Rasch model as outcome.

Design

Two prospective inception cohort studies, in 1996 through 1998 and in 2002 through 2005, with up to 9 months of follow-up.

Setting

Participants enrolled in 2 studies were recruited from acute care hospitals in the Montreal area.

Participants

For study one, 1027 persons with a first stroke discharged into the community were eligible; the 437 who were interviewed a second time at 6 months were included in the analysis. In study two, 235 of 262 patients with stroke were enrolled.

Interventions

Not applicable.

Main Outcome Measures

To predict recovery, we developed 3 stroke-specific comorbidity algorithms based on the estimated strength of association between comorbidities and stroke function. The various indices were compared on the basis of their predictive ability with a c statistic.

Results

In study 1, the c statistics were .758, .763, .766, and .763 for the stroke-specific algorithms 1, 2, and 3 and the CMI, respectively. In study 2, the c statistics were .680, .700, .704, .714, and .714 for the algorithms 1, 2, and 3, the CMI, and the FCI, respectively.

Conclusions

For purposes of case-mix adjustment, the CMI seems to be more than adequate.

Key Words: Comorbidity, Rehabilitation, Stroke

List of Abbreviations: CI, confidence interval, CMI, Charlson Comorbidity Index, FCI, Functional Comorbidity Index, IADLs, Instrumental Activities of Daily Living, ICD-9, International Classification of Diseases, 9th Revision, ICF, International Classification of Functioning, Disability and Health, OR, odds ratio, OARS-IADL, Older American Resources and Services–Instrumental Activity of Daily Living, RNLI, Reintegration to Normal Living Index, ROC, receiver operating characteristic, SF-36, Medical Outcomes Study 36-Item Short-Form Health Survey, WHO, World Health Organization

 

 No commercial party having a direct financial interest in the results of the research supporting this article has or will confer a benefit upon the authors or upon any organization with which the authors are associated.

PII: S0003-9993(08)00274-8

doi:10.1016/j.apmr.2007.11.049

Archives of Physical Medicine and Rehabilitation
Volume 89, Issue 7 , Pages 1276-1283, July 2008