A predictive model of hospitalisation and death from chronic obstructive pulmonary disease

Stuart Schembri*, William Anderson, Steve Morant, Janet Winter, Philip Thompson, Daniel Pettitt, Thomas M. MacDonald, John H. Winter

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

53 Citations (Scopus)

Abstract

Rationale: A recent study showed that doctors are excessively pessimistic about the prognosis in patients with COPD and suggested that a simple tool to predict outcome is needed. Methods: In a prospective observational study, 3343 patients with an FEV1 < 80% of the predicted value and FEV1/FVC < 70% were selected from a clinical network of patients screened for COPD in Tayside, Scotland. Data were collected during annual visits on demography, spirometry, smoking history, medical research council (MRC) dyspnoea scale, body mass index (BMI) and other variables. The main outcome measures were hospitalisations and death secondary to COPD. A proportional hazard model was used to identify significant risk factors. Results: Increasing age, low BMI, worsening MRC dyspnoea score, decreased FEV1, and prior respiratory or cardiovascular admission hospitalisation were predictors of poor outcome. Influenza vaccination was protective. Conclusion: We have developed a model that estimates the risk of respiratory hospitalisation and death in patients with COPD.

Original languageEnglish
Pages (from-to)1461-1467
Number of pages7
JournalRespiratory Medicine
Volume103
Issue number10
DOIs
Publication statusPublished - Oct 2009
Externally publishedYes

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