The functional comorbidity index had high inter-rater reliability in patients with acute lung injury

Eddy Fan, Jeneen M. Gifford, Satish Chandolu, Elizabeth Colantuoni, Peter J. Pronovost, Dale M. Needham

Research output: Contribution to journalArticlepeer-review

Abstract

Background: The Functional Comorbidity Index (FCI) was recently developed to predict physical function in acute lung injury patients using comorbidity data. Our objectives were to determine: (1) the inter-rater reliability of the FCI collected using in-patient discharge summaries (primary objective); and (2) the accuracy and predictive validity of the FCI collected using hospital discharge summaries and admission records versus complete chart review (secondary objectives).Methods: For reliability, we evaluated the FCI's intraclass correlation coefficient (ICC) among trained research staff performing data collection for 421 acute lung injury patients enrolled in a prospective cohort study. For validity and accuracy, we compared the detection of FCI comorbidities across three types of inpatient medical records, and the association of the respective FCI scores obtained with patients' SF-36 physical function subscale (PFS) scores at 1-year follow-up.Results: Inter-rater reliability was near-perfect (ICC 0.91; 95% CI 0.89-0.94). Hospital admission records and discharge summaries (vs. complete chart review) significantly underestimated the total FCI score. However, using multivariable linear regression, FCI scores collected using each of the three types of inpatient medical records had similar associations with PFS, suggesting similar predictive value.Conclusions: Data collection using in-patient discharge summaries represents a reliable and valid method for collecting FCI comorbidity information.

Original languageEnglish (US)
Article number21
JournalBMC Anesthesiology
Volume12
DOIs
StatePublished - Sep 13 2012

Keywords

  • Comorbidity
  • Intensive care unit
  • Reproducibility of results
  • Respiratory distress syndrome, Adult

ASJC Scopus subject areas

  • Anesthesiology and Pain Medicine

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