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.
• International adoption of POS is increasing, yet algorithm consensus is lacking.

Purpose of the Study:

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

Main Methods:

• Literature review of pulse oximetry screening algorithms.
• Analysis of algorithm variations, including perfusion index and machine learning.
• Evaluation of algorithm effectiveness in CCHD detection.

Main Results:

• Several POS screening algorithms exist, but no single consensus has been reached.
• Variations in algorithms present distinct advantages and disadvantages.
• Modifications like perfusion index and machine learning show promise for improved CCHD detection.

Conclusions:

• Pulse oximetry screening is a valuable tool for early CCHD detection.
• Further research into optimizing POS algorithms is warranted.
• Technological advancements may significantly enhance future CCHD screening accuracy.