Heart rate variability in infants with central coordination disturbance

Area of Science:

• Developmental Medicine and Child Neurology
• Pediatric Cardiology
• Neuroscience

Background:

• Early identification of motor disabilities in infants remains challenging.
• Heart rate variability (HRV) reflects cardiac autonomic control and central nervous system (CNS) integrity.
• Previous studies suggest HRV patterns correlate with motor outcomes in high-risk infants.

Purpose of the Study:

• To evaluate the clinical utility and predictive value of time-domain HRV parameters in infants diagnosed with central coordination disturbance.
• To identify specific HRV indices that can predict the development of cerebral palsy (CP).

Main Methods:

• Inclusion of 35 infants with central coordination disturbance and 37 healthy controls.
• Analysis of time-domain HRV indices from 24-hour electrocardiography (ECG) recordings.
• Application of logistic regression and receiver operating characteristic (ROC) analyses for predictive value assessment.

Main Results:

• Infants with central coordination disturbance exhibited significantly lower SDNN, SDANN, and RMSSD values compared to controls.
• SDNN and SDANN independently predicted the development of cerebral palsy (CP).
• Optimal cut-off values for SDNN (<=48ms) and SDANN (<=41ms) demonstrated predictive capabilities for CP with varying sensitivity and specificity.

Conclusions:

• Time-domain HRV analysis is a potentially valuable clinical and prognostic tool for infants with central coordination disturbance.
• HRV parameters can aid in the early identification of infants at risk for permanent motor disabilities, including CP.
• Further research can refine HRV-based prediction models for improved diagnostic accuracy in pediatric neurology.