Validity and interpretation of spirometric recordings to diagnose COPD in UK primary care

Int J Chron Obstruct Pulmon Dis. 2017 Jun 7:12:1663-1668. doi: 10.2147/COPD.S133891. eCollection 2017.

Abstract

Background: The diagnosis of COPD is dependent upon clinical judgment and confirmation of the presence of airflow obstruction using spirometry. Spirometry is now routinely available; however, spirometry incorrectly performed or interpreted can lead to misdiagnosis. We aimed to determine whether spirometry undertaken in primary care for patients suspected to have COPD was of sufficient quality and whether their spirometry was correctly interpreted.

Methods: Two chest physicians re-read all spirometric readings for both quality of the procedure and interpretation, received as a part of COPD validation studies using data from the Clinical Practice Research Datalink (CPRD). We then used logistic regression to investigate predictors of correct interpretation.

Results: Spirometry traces were obtained for 306 patients, of which 221 (72.2%) were conducted in primary care. Of those conducted in primary care, 98.6% (n=218) of spirometry traces were of adequate quality. Of those traces that were of adequate quality and conducted in primary care, and in whom a general practitioner (GP) diagnosis of COPD had been made, 72.5% (n=218) were consistent with obstruction. Historical records for asthma diagnosis significantly decreased odds of correct interpretation.

Conclusion: The quality of the spirometry procedure undertaken in primary care is high. However, this was not reflected in the quality of interpretation, suggesting an unmet training in primary care. The quality of the spirometry procedure as demonstrated by spirometric tracings provides a re-assurance for the use of spirometric values available in the electronic health care record databases for research purposes.

Keywords: chronic obstructive; data accuracy; electronic health records; general practice; pulmonary disease; respiratory function tests.

Publication types

  • Validation Study

MeSH terms

  • Aged
  • Databases, Factual
  • Electronic Health Records
  • Female
  • Humans
  • Logistic Models
  • Lung / physiopathology*
  • Male
  • Middle Aged
  • Observer Variation
  • Odds Ratio
  • Predictive Value of Tests
  • Primary Health Care*
  • Pulmonary Disease, Chronic Obstructive / diagnosis*
  • Pulmonary Disease, Chronic Obstructive / physiopathology
  • Quality Indicators, Health Care
  • Reproducibility of Results
  • Severity of Illness Index
  • Spirometry* / standards
  • United Kingdom