What is the typical diffusion capacity (DLCO) on pulmonary function testing for a 58-year-old never-smoking female with no history of respiratory disease?

Medical Advisory BoardAll articles are reviewed for accuracy by our Medical Advisory Board
Educational purpose only • Exercise caution as content is pending human review
Article Review Status
Submitted
Under Review
Approved

Last updated: April 4, 2026 • View editorial policy

Have a follow-up question?

Our Medical A.I. is used by practicing medical doctors at top research institutions around the world. Ask any follow up question and get world-class guideline-backed answers instantly.

Normal DLCO for a 58-Year-Old Never-Smoking Female

For a healthy 58-year-old never-smoking female with no respiratory disease, the typical DLCO would be approximately 20-25 mL/min/mmHg, representing 80-120% of predicted values based on age and height, with values above the lower limit of normal (LLN) confirming normal gas exchange.

Expected Values and Interpretation Framework

The 2017 ATS technical standards 1 recommend interpreting DLCO using the Global Lung Function Initiative (GLI) 2017 reference equations, which account for:

  • Age (negative correlation with advancing age)
  • Height (positive correlation)
  • Sex (females have lower absolute values than males)
  • Hemoglobin concentration (should be adjusted if measured)

Specific Reference Data for Women

Research on healthy nonsmoking women provides concrete values 2:

  • Mean DLCO for women: 20.79 ± 4.03 mL/min/mmHg
  • The prediction formula: DLCO = 0.2491 × Height(cm) − 0.1533 × Age(years) − 11.662

For a 58-year-old woman of average height (approximately 163 cm), this yields a predicted DLCO of approximately 21-23 mL/min/mmHg.

Key Interpretation Points

Normal range definition: Values are considered normal when they fall above the LLN, typically defined as the 5th percentile or a z-score > -1.645 1. This translates to approximately ≥80% of predicted in most cases, though the z-score approach is more statistically robust.

Important Adjustments

The DLCO should be adjusted for:

  • Hemoglobin concentration: If hemoglobin is measured and differs from the standard (13.8 g/dL for women), predicted values should be adjusted 1
  • Altitude: Significant corrections needed for laboratories above sea level 3
  • Alveolar volume (VA): DLCO decreases linearly as VA decreases from TLC 4, 5

Common Pitfalls to Avoid

  1. Don't use DLCO/VA (DL/VA) ratio alone: This term is commonly misunderstood and should be avoided 1. If transfer coefficient is reported, use KCO instead.

  2. Volume dependence matters: DLCO measured at reduced lung volumes will be proportionally lower 4, 5. The relationship follows: DLCO/DLCOtlc = 0.58 + 0.42 × VA/VAtlc

  3. Age-related decline: DLCO decreases with age even in healthy individuals 2, 4, so comparing to age-matched predicted values is essential.

  4. Quality control: Ensure the test meets ATS/ERS 2017 standards with coefficient of variation ≤6% for reliable results 6.

Clinical Context

For this specific patient (58-year-old never-smoking female with no respiratory history), any DLCO value:

  • Above LLN (z-score > -1.645): Normal gas exchange
  • Between 60-80% predicted: Mild reduction (warrants investigation even in "healthy" individuals)
  • Below 60% predicted: Moderate to severe reduction (indicates occult pathology)

The typical absolute value would range from 19-26 mL/min/mmHg depending on height, with most healthy individuals clustering around 21-23 mL/min/mmHg at this age 2.

Professional Medical Disclaimer

This information is intended for healthcare professionals. Any medical decision-making should rely on clinical judgment and independently verified information. The content provided herein does not replace professional discretion and should be considered supplementary to established clinical guidelines. Healthcare providers should verify all information against primary literature and current practice standards before application in patient care. Dr.Oracle assumes no liability for clinical decisions based on this content.