Validation of Chronic Obstructive Pulmonary Disease (COPD) Algorithm
COPD
Validation of a Chronic Obstructive Pulmonary Disease (COPD) Predictive Algorithm
1 other identifier
observational
500
1 country
1
Brief Summary
Under-diagnosis of Chronic Obstructive Pulmonary Disease (COPD) is prevalent, with an estimated 75% of adults suffering from COPD in the US, without clinical recognition. Often, the first diagnosis of COPD comes with a flare or exacerbation. In one study, 34% of patients were first diagnosed during hospitalization for an exacerbation, an event associated with a 1-year mortality rate of 26%. When COPD is finally diagnosed, it is often in the late stages, with an average lung function of 50% of normal. Conversely, COPD can be over-diagnosed, defined as symptoms in an individual without airflow obstruction. Over-diagnosed people have significantly higher rates of hospitalization, ER visits, and ambulatory care visits because individuals are treated for a disorder they don't have and are not being treated for the disorder they do have. Lack of diagnostic clarity places patients at risk of medication complications without potential benefit. Conversely, failure to diagnose preempts the benefits of therapy. To date, no reliable solution has been found to address this problem.
Trial Health
Trial Health Score
Automated assessment based on enrollment pace, timeline, and geographic reach
participants targeted
Target at P75+ for all trials
Started Aug 2025
1 active site
Health score is calculated from publicly available data and should be used for screening purposes only.
Trial Relationships
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Study Timeline
Key milestones and dates
Study Start
First participant enrolled
August 22, 2025
CompletedFirst Submitted
Initial submission to the registry
October 31, 2025
CompletedFirst Posted
Study publicly available on registry
November 3, 2025
CompletedPrimary Completion
Last participant's last visit for primary outcome
August 30, 2026
ExpectedStudy Completion
Last participant's last visit for all outcomes
December 30, 2026
November 3, 2025
October 1, 2025
1 year
October 31, 2025
October 31, 2025
Conditions
Keywords
Outcome Measures
Primary Outcomes (1)
obtainment of the accuracy of a model for predicting the presence of obstruction on spirometry
prospectively evaluate our tool on a population of patients regardless of underlying COPD risk - It will be an analysis using the algorithm developed by Dr. Wells of the percentage of subjects who demonstrated obstructive airway disease
minute 10
Eligibility Criteria
Data from the Wake Forest Baptist Medical Center in Winston Salem, NC and Lexington Medical Center in Lexington, NC were extracted from a common electronic health record system. Algorithm development included 15,065 patients who underwent pulmonary function testing in 2016-2022.
You may qualify if:
- greater thank or equal to 40 years of age
- or more encounters in the health system
- Previous Pulmonary Function Test (PFT) recorded in our Electronic Health Records (EHR) in the previous 5 years
You may not qualify if:
- cystic fibrosis
- Alpha-1 Antitrypsin Deficiency (AAD)currently pregnant
- History of a lung transplant or partial removal of the lung
- significant chest wall deformity
- neuromuscular disease that currently impacts the respiratory muscles
- surgery requiring general anesthesia or an overnight stay in the hospital within the past 30 days
Contact the study team to confirm eligibility.
Sponsors & Collaborators
Study Sites (1)
Wake Forest University Health Sciences
Winston-Salem, North Carolina, 27157, United States
MeSH Terms
Conditions
Condition Hierarchy (Ancestors)
Study Officials
- PRINCIPAL INVESTIGATOR
Brian J Wells, MD, PhD
Wake Forest University Health Sciences
Central Study Contacts
Study Design
- Study Type
- observational
- Observational Model
- CASE ONLY
- Time Perspective
- PROSPECTIVE
- Sponsor Type
- OTHER
- Responsible Party
- SPONSOR
Study Record Dates
First Submitted
October 31, 2025
First Posted
November 3, 2025
Study Start
August 22, 2025
Primary Completion (Estimated)
August 30, 2026
Study Completion (Estimated)
December 30, 2026
Last Updated
November 3, 2025
Record last verified: 2025-10
Data Sharing
- IPD Sharing
- Will not share