Journal of Clinical Epidemiology
Volume 59, Issue 8 , Pages 849-855, August 2006

A user's guide to selecting a comorbidity index for clinical research

Division of Cancer Care and Epidemiology, Queen's Cancer Research Institute, Kingston, Ontario K7L 3N6, Canada

Accepted 20 November 2005. published online 26 May 2006.

Abstract 

You are creating a data abstraction form to assess the case mix, treatments, and treatment outcome for patients with cancer of the larynx at your center. You plan to perform univariate analysis including Kaplan–Meier curves with log-rank tests and multiple variable analysis to account for effect of disease and age on outcome. At your center some patients have radiotherapy, some have chemotherapy in association with radiotherapy, and some have primary surgery. A specific patient's treatment is based on the extent of disease and overall health. Patients with cancer of the larynx frequently have a variety of comorbid illnesses, often related to smoking and alcohol. For example, Mr. J.B. presented to the coronary care unit with his third myocardial infarction and was found to have a new cancer of the larynx. Due to his chronic obstructive pulmonary disease (COPD), diabetes, and past pulmonary embolus, he is not a candidate for either coronary revascularization or laryngectomy. How do you measure the impact of the comorbid illnesses on the decisions and the outcomes?

Keywords: Comorbidity, Measurement, Risk stratification, Outcome

To access this article, please choose from the options below

Login to an existing account or Register a new account.

  • Purchase this article for 31.50 USD (You must login/register to purchase this article)

    Online access for 24 hours. The PDF version can be downloaded as your permanent record.

  • Subscribe to this title

    Get unlimited online access to this article and all other articles in this title 24/7 for one year.

  • Claim access now

    For current subscribers with Society Membership or Account Number.

  • Visit SciVerse ScienceDirect to see if you have access via your institution.
 

PII: S0895-4356(05)00436-1

doi:10.1016/j.jclinepi.2005.11.013

Journal of Clinical Epidemiology
Volume 59, Issue 8 , Pages 849-855, August 2006