How to understand Spirometry Predictive Equations, such as NHANES III vs. GLI 12, in order to decide which is most appropriate for your patients
Raleigh, NC - July 13, 2021 - VitalFlo, the predictive medicine platform for chronic respiratory diseases such as asthma and COPD, today announced it has secured $2.14 million in seed funding led by Geekdom Fund, who were joined by Elevate Capital, Lontra Ventures, Front Porch Venture Partners, and Purpose Built Ventures.
This is a question that frequently enters the mind of non-profit program managers, healthcare professionals, product managers, school principals, the list goes on. The key word to this title, however, is how does one do this effectively? Sure, asking questions is easy, but how do you know they’re even the right questions?
As an asthma forecasting company, we strive to reduce the burden of asthma so that patients can better prepare for the possibility of an exacerbation. We do so based on forecasting asthma control based on weather, pollution, previous spirometry measures, and most recently, previous days of asthma control.
A little over a week ago I summarized some of America’s history that disadvantaged marginalized racial groups. Today I’ll dive into how spirometry equations are created, and next week we’ll dive into how history embeds itself into spirometry as well.
When I started working at VitalFlo, I noticed in the universally used algorithms developed from clinical research that exist for predicting lung health, race or ethnicity is a necessary factor for the equation. As a healthcare company, we have an ethical responsibility for understanding the nuance of how our product is used, its effects on the health of our patients, and the implications of the readings of our product puts forth.