Abnormal heart rate characteristics are associated with neonatal mortality

Area of Science:

• Neonatal intensive care
• Clinical informatics
• Pediatric cardiology

Background:

• Estimating in-hospital mortality risk in neonatal intensive care units (NICUs) is crucial for healthcare providers.
• Current illness severity scores are time-consuming and rely on limited early-life data (12-24 hours).
• A continuous, noninvasive measure using hospitalization-wide data could be more cost-effective and informative.

Purpose of the Study:

• To test the hypothesis that more frequent and severe abnormal heart rate characteristics (HRC) are associated with increased risk of death in neonates.
• To evaluate the predictive value of an HRC index for 7-day mortality.
• To develop and assess a cumulative HRC score for predicting in-hospital neonatal mortality.

Main Methods:

• Utilized data from 685 NICU infants, with 37 deaths.
• Analyzed the association of the HRC index with death within the subsequent 7 days for infants older than 7 days.
• Developed and evaluated a cumulative HRC score for its association with in-hospital mortality.

Main Results:

• The HRC index showed a highly significant association with 7-day mortality (receiver-operating characteristic area > 0.7, p < 0.001).
• The cumulative HRC score was highly significantly associated with in-hospital neonatal mortality (receiver-operating characteristic area > 0.80, p < 0.001).
• HRC provided additional predictive information beyond birth weight, gestational age, and postnatal age (p < 0.01).

Conclusions:

• The HRC index independently predicts the risk of neonatal death within the upcoming 7 days.
• The cumulative HRC score serves as a robust estimate of in-hospital neonatal mortality risk.
• Abnormal heart rate characteristics offer a valuable, continuous, and noninvasive method for risk stratification in neonates.