Validation of Chronic Obstructive Pulmonary Disease (COPD) Algorithm
NCT ID: NCT07223749
Last Updated: 2025-11-03
Study Results
The study team has not published outcome measurements, participant flow, or safety data for this trial yet. Check back later for updates.
Basic Information
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RECRUITING
500 participants
OBSERVATIONAL
2025-08-22
2026-12-30
Brief Summary
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Detailed Description
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Risk stratification tools relying entirely on existing, structured Electronic Health Record (EHR) data would provide an opportunity for screening interventions. The most efficient EHR tool would not include symptoms as a predictor variable since the documentation of symptoms are inconsistent and are typically recorded in unstructured text. Automated screening facilitates targeted screening of high-risk patients, including those individuals with limited contact with the health system. This study has created an accurate tool for this purpose that was cross-validated on a potentially biased set of patients who already underwent spirometric testing.
Conditions
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Study Design
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CASE_ONLY
PROSPECTIVE
Eligibility Criteria
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Inclusion Criteria
* 2 or more encounters in the health system
* Previous Pulmonary Function Test (PFT) recorded in our Electronic Health Records (EHR) in the previous 5 years
Exclusion Criteria
* 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
40 Years
ALL
No
Sponsors
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Wake Forest University Health Sciences
OTHER
Responsible Party
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Principal Investigators
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Brian J Wells, MD, PhD
Role: PRINCIPAL_INVESTIGATOR
Wake Forest University Health Sciences
Locations
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Wake Forest University Health Sciences
Winston-Salem, North Carolina, United States
Countries
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Central Contacts
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Facility Contacts
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Other Identifiers
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IRB00121215
Identifier Type: -
Identifier Source: org_study_id
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