Pulse Oximetry Screening in the Newborn: Can Modifications to the Screening Algorithm Improve Detection?

Area of Science:

• Neonatal screening
• Pediatric cardiology
• Public health interventions

Background:

• Pulse oximetry screening (POS) is a non-invasive method for early detection of critical congenital heart defects (CCHDs).
• POS is cost-effective, widely accepted, and proven to reduce CCHD mortality, leading to its adoption in many countries.
• Despite widespread use, a standardized screening algorithm for POS remains undefined.

Purpose of the Study:

• To review existing pulse oximetry screening algorithms for CCHDs.
• To compare the advantages and disadvantages of different POS screening algorithms.
• To explore potential modifications for improving CCHD detection rates.

Main Methods:

• Literature review of studies on pulse oximetry screening algorithms for CCHDs.
• Comparative analysis of various screening algorithm variations.
• Exploration of novel approaches like perfusion index and machine learning integration.

Main Results:

• Pulse oximetry screening demonstrates moderate sensitivity and high specificity for CCHD detection.
• Several POS screening algorithms exist, each with unique benefits and drawbacks.
• Modifications such as adding perfusion index or machine learning show promise for enhancing detection.

Conclusions:

• Pulse oximetry screening is a valuable tool for reducing CCHD mortality.
• Further research and consensus are needed to optimize POS screening algorithms.
• Emerging technologies may significantly improve the efficacy of POS in detecting CCHDs.