ClearMed
All Pulmonology BriefingsAmerican Journal of Respiratory and Critical Care Medicine
PulmonologyReal-World Cohort4 min read

Development and Validation of a Pre-COPD Score to Predict Incident COPD

A pre-COPD score was developed in CGPS by assigning 1 point to each of smoking history≥10 pack-years, active smoking, any respiratory symptom, asthma, and pre-BD FEV1/FVC 0.70-0.75, and 4 points for pre-BD FEV1<80% predicted, indicating presence of Preserved Ratio Impaired Spirometry (PRISm), with external validation in CCHS and COPDGene.

Published in American Journal of Respiratory and Critical Care MedicineObservational cohort study
3/5 Observational
Evidence Meter · 3/5

Real-World Observation

Finds meaningful patterns in human health records or cohorts, though observational data cannot prove direct cause.

Source

Clinical Outcome

12%

The pre-COPD score is useful in predicting the onset of COPD with clinically relevant discrimination in three cohorts with different risk profiles.

What Changes?

Pulmonology · Real-World Cohort

Current Standard

Conventional pulmonology practice relies on standard-of-care monitoring and existing regimens prior to this observational cohort study.

New Finding

We identified individuals without airflow obstruction, defined as pre-bronchodilator (BD) forced expiratory volume in 1 second (FEV1)/forced vital capacity (FVC)≥0.70 and ≥lower limit of normal, from the Copenhagen General Population Study (CGPS)(N = 14,506), Copenhagen City Heart Study (CCHS)(N = 8673), and Genetic Epidemiology for COPD (COPDGene) Study(N = 2982).

3 Key Takeaways

Plain English Summary
  1. 01Core Finding

    In CGPS, 10-year incidence was 1.5% in the low-risk, 9.3% in the intermediate-risk, 24% in the high-risk, and 42% in the very high-risk category.

  2. 02Study Evidence

    Tested in a observational cohort study (n = 14,506) at the real-world cohort stage.

  3. 03Practical Meaning

    Observational cohort findings reveal real-world links, though lifestyle or unmeasured factors cannot be fully ruled out without an RCT.

What This Means for You

The pre-COPD score is useful in predicting the onset of COPD with clinically relevant discrimination in three cohorts with different risk profiles.

The Discovery

To test the hypothesis that development of COPD can be predicted by characterizing pre-COPD and creating a simple pre-COPD score. We identified individuals without airflow obstruction, defined as pre-bronchodilator (BD) forced expiratory volume in 1 second (FEV1)/forced vital capacity (FVC)≥0.70 and ≥lower limit of normal, from the Copenhagen General Population Study (CGPS)(N = 14,506), Copenhagen City Heart Study (CCHS)(N = 8673), and Genetic Epidemiology for COPD (COPDGene) Study(N = 2982). A pre-COPD score was developed in CGPS by assigning 1 point to each of smoking history≥10 pack-years, active smoking, any respiratory symptom, asthma, and pre-BD FEV1/FVC 0.70-0.75, and 4 points for pre-BD FEV1<a clinically meaningful level predicted, indicating presence of Preserved Ratio Impaired Spirometry (PRISm), with external validation in CCHS and COPDGene. Participants were followed for 5-10 years for incident COPD, defined as pre-BD FEV1/FVC<0.70 and FEV1<a clinically meaningful level predicted. During follow-up, COPD developed in 669 individuals (4.6%) in CGPS, 685 (7.9%) in CCHS, and 367 in COPDGene. In CGPS, 10-year incidence was a clinically meaningful level in the low-risk, a clinically meaningful level in the intermediate-risk, a clinically meaningful level in the high-risk, and a clinically meaningful level in the very high-risk category. Corresponding 5-year incidences were 3.7%, 7.3%, a clinically meaningful level, and 25% in CCHS, and 4.1%, 5.3%, 13%, and 31% in COPDGene, respectively. The pre-COPD score demonstrated good discrimination with areas under curve of 0.88 in CGPS, 0.76 in CCHS, and 0.81 in COPDGene. The pre-COPD score was also associated with exacerbations.

How It Works, Simply

This pulmonology research focuses on genetics. Researchers evaluated it using an observational cohort study (N = 14,506) at the real-world cohort stage of medical research.

3 Key Takeaways

Clinical Takeaways
  1. 01Core Finding

    In CGPS, 10-year incidence was 1.5% in the low-risk, 9.3% in the intermediate-risk, 24% in the high-risk, and 42% in the very high-risk category.

  2. 02Study Evidence

    Tested in a observational cohort study (n = 14,506) at the real-world cohort stage.

  3. 03Practical Meaning

    Observational cohort findings reveal real-world links, though lifestyle or unmeasured factors cannot be fully ruled out without an RCT.

Key Numbers

Quantitative Study Readout
1.5%
Clinical Outcome
9.3%
Clinical Outcome
01

Biological Mechanism & Study Design

Study Design & Cohort

Observational cohort study

Observational cohort study (N = 14,506) · Real-World Cohort

Biological Pathway & Modality

Genetics

Intervention: Development and Validation of a Pre-COPD Score to Predict Incident COPD

02

Experimental Findings & Endpoints

To test the hypothesis that development of COPD can be predicted by characterizing pre-COPD and creating a simple pre-COPD score.

We identified individuals without airflow obstruction, defined as pre-bronchodilator (BD) forced expiratory volume in 1 second (FEV1)/forced vital capacity (FVC)≥0.70 and ≥lower limit of normal, from the Copenhagen General Population Study (CGPS)(N = 14,506), Copenhagen City Heart Study (CCHS)(N = 8673), and Genetic Epidemiology for COPD (COPDGene) Study(N = 2982). A pre-COPD score was developed in CGPS by assigning 1 point to each of smoking history≥10 pack-years, active smoking, any respiratory symptom, asthma, and pre-BD FEV1/FVC 0.70-0.75, and 4 points for pre-BD FEV1<a clinically meaningful level predicted, indicating presence of Preserved Ratio Impaired Spirometry (PRISm), with external validation in CCHS and COPDGene.

Participants were followed for 5-10 years for incident COPD, defined as pre-BD FEV1/FVC<0.70 and FEV1<a clinically meaningful level predicted. During follow-up, COPD developed in 669 individuals (4.6%) in CGPS, 685 (7.9%) in CCHS, and 367 in COPDGene.

In CGPS, 10-year incidence was a clinically meaningful level in the low-risk, a clinically meaningful level in the intermediate-risk, a clinically meaningful level in the high-risk, and a clinically meaningful level in the very high-risk category. Corresponding 5-year incidences were 3.7%, 7.3%, a clinically meaningful level, and 25% in CCHS, and 4.1%, 5.3%, 13%, and 31% in COPDGene, respectively.

The pre-COPD score demonstrated good discrimination with areas under curve of 0.88 in CGPS, 0.76 in CCHS, and 0.81 in COPDGene. The pre-COPD score was also associated with exacerbations.

03

Clinical Translation & Practice Context

The pre-COPD score is useful in predicting the onset of COPD with clinically relevant discrimination in three cohorts with different risk profiles.

03

The Bottom Line · Clinical Pearl

“The pre-COPD score is useful in predicting the onset of COPD with clinically relevant discrimination in three cohorts with different risk profiles.”

Published in American Journal of Respiratory and Critical Care Medicine · Current Stage: Real-World Cohort

Pulmonology · Real-World Cohort
Study Type
Observational cohort study

Observational cohort study (N = 14,506)

Evidence Score
3/5 · Real-World Observation
Evidence Meter · 3/5

Real-World Observation

Finds meaningful patterns in human health records or cohorts, though observational data cannot prove direct cause.

Finds meaningful patterns in human health records or cohorts, though observational data cannot prove direct cause.

Who It Applies To
Observational cohort study (N = 14,506) in pulmonology care
Intervention & Mechanism
Development and Validation of a Pre-COPD Score to Predict Incident COPD

Genetics

Key Limitation
Observational cohort findings reveal real-world links, though lifestyle or unmeasured factors cannot be fully ruled out without an RCT.

Translational Stage

LEVEL 2 · Real-World Cohort

Classified as Observational cohort study along the clinical evidence continuum

  1. Lab & Discovery
  2. Early Trials
  3. Human Evidence
  4. 4Real-World CohortActive

Original Publication & AMA Citation

Development and Validation of a Pre-COPD Score to Predict Incident COPD. American Journal of Respiratory and Critical Care Medicine. Published 2026;Nov 6. Accessed November 15, 2026. https://pubmed.ncbi.nlm.nih.gov/42993069/

American Journal of Respiratory and Critical Care Medicine

https://pubmed.ncbi.nlm.nih.gov/42993069/

Read Original Paper

Continue Reading

Related in Pulmonology

View all Pulmonology briefings →
PULMONOLOGY · CLINICAL PRACTICE

Mediastinal Mass With Recurrent Hemorrhagic Pleural Effusion

Empirical antituberculosis therapy also was given, but no definitive diagnosis was established. A 55-year-old man was admitted with a 2-year history of recurrent dyspnea and exertional breathlessness, accompanied by intermittent blood-tinged sputum.

3/5 Observational
Evidence Meter · 3/5

Real-World Observation

Finds meaningful patterns in human health records or cohorts, though observational data cannot prove direct cause.

1 min readChest
PULMONOLOGY · CLINICAL PRACTICE

Bilateral Pulmonary Nodules After Lung Transplantation: A Rare Diagnosis

He was also placed on mycophenolic acid, which was soon held because of neutropenia. Antibody-mediated rejection was successfully treated with our institutional multimodal regimen, including a combination of plasmapheresis, carfilzomib, and anti-thymocyte globulin followed by monthly IV immunoglobulin and tocilizumab injections.

3/5 Observational
Evidence Meter · 3/5

Real-World Observation

Finds meaningful patterns in human health records or cohorts, though observational data cannot prove direct cause.

1 min readChest
PULMONOLOGY · CLINICAL PRACTICE

A Young Man With Hypereosinophilia and Pseudochylothorax

There was no other significant environmental history. The patient received anti-tubercular therapy along with tapering corticosteroids, showing initial clinical improvement.

3/5 Observational
Evidence Meter · 3/5

Real-World Observation

Finds meaningful patterns in human health records or cohorts, though observational data cannot prove direct cause.

1 min readChest