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Cord Blood Cortisol Level - A Possible Predictor for Respiratory Distress Syndrome in Preterm Neonates
Anup John Thomas1, Dhandapany Gunasekaran2, Chandrasekaran Venkatesh2
1Department of Paediatrics, Mahatma Gandhi Medical College and Research Institute, Puducherry (Pondicherry), Sri Balaji Vidyapeeth (Deemed to be University), Puducherry (Pondicherry), India.
Cord blood cortisol levels are significantly lower in premature infants who develop Respiratory Distress Syndrome (RDS). This finding suggests cord blood cortisol can predict RDS, aiding early intervention and reducing infant mortality.
Area of Science:
- Neonatal Medicine
- Biochemistry
- Pediatric Critical Care
Background:
- Respiratory Distress Syndrome (RDS) is a primary cause of mortality in premature infants.
- Clinical and biochemical markers are used to assess RDS risk.
- Cord blood cortisol is explored as a potential biochemical marker for RDS.
Purpose of the Study:
- To correlate cord blood cortisol levels with RDS in preterm neonates.
- To determine if cord blood cortisol is a reliable predictor of RDS.
Main Methods:
- Prospective analytical study conducted over nine months in a tertiary care hospital.
- Fifty preterm neonates were included.
- Cord blood samples collected at delivery for cortisol level analysis and correlation with RDS development.
Main Results:
- Mean cord blood cortisol level was 5.97 ± 2.74 μg/dl.
- Significantly lower cortisol levels (2.86 ± 1.66 μg/dl) were observed in neonates who developed RDS.
- A strong association (OR 57.4) was found between low cord blood cortisol and RDS.
- Neonates of mothers without antenatal steroids had higher RDS rates (p=0.000).
- Expiring neonates had exceptionally low cord blood cortisol (1.89 μg/dl) compared to survivors (7.02 μg/dl).
Conclusions:
- Cord blood cortisol levels are significantly associated with RDS in preterm infants.
- Cord blood cortisol can serve as a predictive marker for RDS.
- Early prediction via cord blood cortisol may facilitate timely treatment, reducing mortality and morbidity.
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