On January 17, 2023, Koneksa, a healthcare technology company that develops evidence-based validated digital biomarkers, announced the beginning of a clinical study that will compare the treatment effect of at-home mobile spirometry using digital biomarkers versus in-clinic spirometry in patients who have moderate asthma and are receiving long-acting beta-agonist (LABA) treatment.
The LEARN study is a single-arm interventional trial that compares the identification of treatment effects in people with moderate asthma using at-home mobile spirometry by utilizing an ultrasonic spirometer and a smartphone compared to in-clinic spirometry. Up to 60 people with mild, uncontrolled asthma who already use inhaled corticosteroids (ICS) will take part in the study. Besides, it will also cover those who need to take LABA medication for a six-week treatment period.
In-clinic spirometry can be performed at home with the same or higher accuracy compared to in-clinic and potentially less strain on the patient. The study will analyze the LABA treatment impact in clinic and mobile spirometry along with assessing the association between different readouts of mobile spirometry, in addition to evaluating asthma control as determined by the ACQ-6, a patient-reported outcome questionnaire. Other goals include assessing patient and site-specific satisfaction with mobile spirometry technology.
Chris Benko, CEO & Founder, Koneksa, stated, “This study builds on Koneksa's prior work demonstrating that mobile spirometry has the potential to detect clinically meaningful changes in very small cohorts of asthma patients on standard of care.” He further added, “The LEARN study will evaluate whether at-home mobile spirometry can detect treatment effects of a known positive control (LABA) in a significantly smaller population than would traditionally be assumed for an in-clinic proof-of-concept study.”
(Source – Business Wire)
About Koneksa
Based out of New York, Koneksa is a patient-centric digital biomarker firm that develops end-to-end solutions for remotely obtained clinical data to expedite clinical research and guide decision-making in drug development and market strategy for the pharmaceutical and biotechnology industries. It seeks to revolutionize effect detection in clinical research by providing integrated solutions for efficient trial designs that yield more meaningful data. Its evidence-based biomarker solutions allow for more efficient clinical trial designs, allowing novel medicines to reach patients sooner.