Validation of an Artificial Intelligence Enabled Diagnostic Support Software (ArtiQ.Spiro) in Primary Care Spirometry Datasets - a Retrospective Analysis

Launched by ROYAL BROMPTON & HAREFIELD NHS FOUNDATION TRUST · Dec 5, 2022

Keywords

ClinConnect Summary

This is a retrospective analysis of existing clinical datasets with consecutive spirometry collected in a primary care setting in the UK. Individual patient data will be included if the individual meets the study protocol eligibility criteria.

Clinical datasets will be de-identified (name, date of birth, address, postcode, occupation GP, ethnicity, medications data removed). Individuals will be identified by a study ID number. The de-identified datasets will contain the minimum information needed for spirometry and ArtiQ.Spiro - namely age, smoking history, height, weight, primary respirat...

Gender

ALL

Eligibility criteria

• Inclusion Criteria:
• • Adult aged 18 years or over
• • At least one of the following respiratory symptoms: cough, wheeze, shortness of breath, reduced exercise tolerance
• • Spirometry performed for clinical purposes in a non-hospital lung function setting (such as a community clinic, a GP practice, or at home)
• • Spirometry was supervised by a doctor or non-medical allied health professional
• Exclusion Criteria:
• • Aged 17 or under
• • No respiratory symptoms
• • Spirometry performed for pre-operative assessment
• • Spirometry performed exclusively as part of a research study
• • Spirometry performed at home without supervision.

Trial Officials