Method, system, and computer readable medium for generating pulse oximetry predictive scores (POPS) for predicting adverse outcomes in preterm infants

A method for generating pulse oximetry predictive scores (POPS) for predicting occurrence of predetermined pathologies in a preterm infant, the method comprising:

• receiving in at least one processor Heart Rate (HR) and oxygen saturation (SpO2) data collected from the preterm infant with a pulse oximetry sensor;
• calculating by said at least one processor mean and standard deviation of HR and SpO2, cross-correlation of HR and SpO2, HR decelerations, HR and SpO2 entropy, hypoxia and hyperoxia from said received HR and SpO2 data, wherein the calculations are made over different time periods specific to a predetermined pathology;
• generating by said at least one processor pulse oximetry predictive scores with a predictive algorithm which incorporates a cross-correlation of HR and SpO2 based on archived pulse oximetry data of multiple preterm infants to analyze the calculated data;
• outputting said generated pulse oximetry predictive scores (POPS) on an output device to a user;
• predicting the predetermined pathology of said preterm infant based on the generated POPS, wherein the pathology includes at least one of intraventricular hemorrhage (IVH), late-onset sepsis (LOS), necrotizing enterocolitis (NEC), bronchopulmonary dysplasia (BPD), or retinopathy of prematurity (ROP);
• and
• based on the outputted POPS, performing an action selected from the group of:
• identifying said preterm infant as a highest risk infant and performing additional surveillance of or therapeutic intervention on said preterm infant;
• identifying said preterm infant for participation in a clinical trial based on a risk profile associated with said POPS;
• and
• treating said preterm infant for said pathology.