Predictive ability of Charlson comorbidity index on outcomes from lung cancer

Apar Kishor Ganti, Emily Siedlik, Alissa S. Marr, Fausto R. Loberiza, Anne Kessinger

Research output: Contribution to journalArticlepeer-review

42 Scopus citations

Abstract

Background: The effect of age and/or comorbidities on management decisions in lung cancer patients has been debated. The Charlson Comorbidity Index (CCI) was developed to help predict mortality from chronic medical conditions. This study was undertaken to evaluate whether CCI is correlated with survival in lung cancer. Patients and Methods: A retrospective chart review of 617 lung cancer patients diagnosed between 1994 and 2007 was conducted. CCI was calculated for each patient with and without the inclusion of age. Multivariate Cox proportional hazard regression analysis was used to evaluate the relationship between CCI and survival while adjusting for other prognostic factors. Results: Six patients were excluded from the final analysis due to missing outcome or comorbidity data. The median age at diagnosis was 64 years (range, 16-89 y). Five hundred fourteen patients (84%) had nonsmall cell lung cancer and 97 patients (16%) had small cell lung cancer. Using multivariate analysis, no correlation was found between CCI and risk of death whether or not age was included in the index score. Conclusions: CCI did not provide predictive validity for survival of lung cancer patients. Development of accurate and predictive prognostic models to help estimate a patient's prognosis is needed.

Original languageEnglish (US)
Pages (from-to)593-596
Number of pages4
JournalAmerican Journal of Clinical Oncology: Cancer Clinical Trials
Volume34
Issue number6
DOIs
StatePublished - Dec 2011

Keywords

  • Charlson comorbidity index
  • comorbidity
  • lung cancer
  • outcomes
  • survival

ASJC Scopus subject areas

  • Oncology
  • Cancer Research

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