Interpreting Pulmonary Function Tests to Guide Treatment
Pulmonary function tests (PFTs) should be interpreted using a systematic, algorithmic approach that evaluates test quality first, then compares results with reference values, identifies specific physiological patterns, and finally answers the clinical question that prompted the test. 1
Step-by-Step Interpretation Algorithm
1. Assess Test Quality
- Review technical aspects of the test before relying on numerical results for clinical decision making 1
- Ensure proper technique was used and results meet acceptability and reproducibility criteria 1
- Tests that are less than optimal may still contain useful information, but limitations should be identified 1
2. Compare Results with Reference Values
- Compare patient results with predicted values based on age, sex, height, and ethnicity 1
- Use reference equations from studies of "normal" or "healthy" subjects with similar anthropometric characteristics 1
- Consider the impact of race and ethnicity on interpretation, as these factors may influence results in borderline cases but are less significant in clearly normal or abnormal results 1
3. Identify Ventilatory Pattern
Obstructive Pattern:
Restrictive Pattern:
Mixed Pattern:
Normal Pattern:
- All parameters within normal limits 1
4. Assess Severity of Abnormalities
For obstructive, restrictive, and mixed defects, severity is primarily based on FEV1 % predicted 1:
- Mild: >70%
- Moderate: 60-69%
- Moderately severe: 50-59%
- Severe: 35-49%
- Very severe: <35% 1
For diffusing capacity (DLCO):
5. Evaluate Bronchodilator Response (if performed)
- Significant response typically defined as ≥12% and ≥200 mL increase in FEV1 or FVC 1
- Response may indicate asthma but can also occur in other conditions 1
6. Compare with Previous Tests (if available)
- Evaluate for significant changes over time 3
- Changes may reflect disease progression or response to treatment 4
Clinical Application to Guide Treatment
Obstructive Diseases
- In COPD, FEV1 correlates with symptom severity and prognosis 1
- For patients with IPF requiring treatment with pirfenidone, baseline eligibility includes %FVC ≥50% and %DLCO ≥30-35% 5
- Treatment response in IPF can be monitored by tracking changes in FVC, with reduced decline indicating treatment efficacy 5
Restrictive Diseases
- VC may be only slightly impaired in diffuse interstitial diseases despite marked loss of diffusing capacity 1
- Both FEV1 and DLCO should be measured systematically in preoperative evaluation of patients with lung cancer 2
- A reduced DLCO (<60%) indicates higher risk (25% mortality rate and 40% pulmonary morbidity) in patients undergoing lung resection 2
Small Airway Disease
- May be identified by late expiratory flattening of the flow-volume loop 6
- FEF25-75% may be reduced out of proportion to FEV1 1
- However, these mid-range flow measurements are not specific for small airway disease in individual patients 1
Common Pitfalls and Caveats
- Relying solely on computer interpretations without reviewing test quality 1
- Using FEV1/VC ratio to determine severity of obstruction (should use FEV1 % predicted instead) 1
- Failing to measure lung volumes when a restrictive pattern is suspected based on spirometry alone 1
- Not adjusting DLCO for hemoglobin and carboxyhemoglobin, especially when monitoring for toxicity 2
- Overlooking that PFTs are only one of many tools available to the clinician and should be interpreted in clinical context 1
- Not recognizing that upper airway obstruction may be life-threatening despite being classified as only mildly reduced by FEV1 % predicted 1
Special Considerations
- The majority of PFTs (53%) are performed to follow disease progress or response to treatment, emphasizing the importance of comparing to previous results 4
- In borderline cases, additional testing may be necessary to establish a diagnosis 1
- PFT interpretation should be consistent within a laboratory to avoid inferring a change in patient condition when it is actually due to a change in interpretation approach 1