In 2016, Etiometry received U.S. Food & Drug (FDA) 510(k) clearance for the first of our Risk Analytics Algorithms. The Inadequate Oxygen Delivery (IDO2) Index is the first of many Etiometry algorithms that we are bringing to market. With our IDO2 algorithm embedded within the Etiometry platform, doctors and nurses can quickly assess the risk of inadequate oxygen delivery alongside traditional measures of the patient’s status in a manner that clearly visualizes the patient’s trajectory.
Originally approved for monitoring neonates, Etiometry announced that the FDA just cleared an updated version of the IDO2 index for patients up to 12 years old. The expansion of the indications for use for the IDO2 Index was cleared after extensive research, development, and validation we conducted on data from nearly 2,300 patients, which included more than 10,000 measurements of venous blood gasses.
This is exciting for several reasons. First, the dramatically expanded age range now allows hospitals to monitor the IDO2 Index for about 80% of the pediatric ICU patients, compared to the previous clearance for only neonates—which covered about 20% of the pediatric ICU patients. Second, it demonstrates the clear ability of our Risk Analytics Engine technology to be scaled across patient populations. A truly scalable solution to predictive analytics is imperative as hospitals begin implementing these technologies into their workflows to improve care.
The IDO2 Index is computed based on multiple physiologic measures and laboratory results collected by our T3 Data Aggregation & Visualization software. The index is designed to reflect the likelihood that the patient is experiencing inadequate oxygen delivery, defined as mixed venous oxygen saturation (SvO2) less than 40%.
The new version of the Etiometry Platform with the expanded IDO2 index will be immediately made available to our existing customers. We’ll be coming out with a whitepaper soon that provides an overview of the Etiometry Platform and reviews how hospitals can improve their workflow through leveraging data consolidation, enhanced visualization and predictive analytics.
In the meantime, if you’d like to discuss how your hospital can benefit or receive an advanced copy of the paper, please send a request to firstname.lastname@example.org and we’ll respond promptly.