Pulse oximetry as a screening tool for detecting major congenital heart defects in Indian newborns

Anita Saxena1, Anurag Mehta1, Sivasubramanian Ramakrishnan1

  • 1Department of Cardiology, All India Institute of Medical Sciences, New Delhi, India.

Insights

Pulse oximetry effectively screens for major congenital heart defects (CHDs) in Indian newborns, significantly improving detection rates when combined with clinical examination. While sensitive, its specificity for identifying CHDs requires further investigation.

Area of Science:

  • Neonatal Medicine
  • Cardiology
  • Public Health

Background:

  • Congenital heart defects (CHDs) are a significant cause of neonatal morbidity and mortality worldwide.
  • Early detection of CHDs is crucial for timely intervention and improved outcomes.
  • Current screening methods in India primarily rely on clinical examination, which has limitations.

Purpose of the Study:

  • To evaluate the effectiveness of pulse oximetry as a screening tool for major congenital heart defects (CHDs) in Indian newborns.
  • To compare the diagnostic accuracy of pulse oximetry, clinical examination, and their combination for detecting CHDs.

Main Methods:

  • A cross-sectional observational study was conducted in a North Indian community hospital over three years.
  • 19,009 newborns were screened using routine clinical examination, pulse oximetry, and bedside echocardiography.
  • Sensitivity and specificity of each screening method for major CHDs were calculated.

Main Results:

  • Pulse oximetry alone detected 55.7% of major CHDs and 84.6% of critical CHDs.
  • Combining pulse oximetry with clinical examination significantly improved sensitivity for major CHDs to 75.7% (p<0.01) and critical CHDs to 84.6% (p<0.01).
  • The specificity of pulse oximetry for major CHDs was 68.3%.

Conclusions:

  • Pulse oximetry is a sensitive screening tool for major CHDs in Indian newborns.
  • It enhances the detection capabilities beyond clinical examination alone.
  • Lower specificity in this cohort may be attributed to factors like infection prevalence and oximeter type.
Abstract

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