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Utilizing Infant Cry Acoustics to Determine Gestational Age.

Mustafa Sahin1, Suzan Sahin2, Fatma N Sari3

  • 1Department of Otolaryngology, Medical School, Adnan Menderes University, Aydın, Turkey.

Journal of Voice : Official Journal of the Voice Foundation
|November 14, 2016
PubMed
Summary

This study found that incorporating infant cry acoustic parameters like F0, Int, Jitt, and latency into the New Ballard Score (NBS) significantly improves the accuracy of estimating gestational age (GA) in newborns.

Keywords:
Acoustic analysisCry analysisGestational ageInfant cryNew Ballard Score

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Area of Science:

  • Neonatal Medicine
  • Acoustic Analysis
  • Biostatistics

Background:

  • Accurate gestational age (GA) determination is crucial for neonatal care.
  • Traditional methods like last menstrual period and ultrasonography may be unclear.
  • The New Ballard Score (NBS) is a postnatal method for GA estimation, but its accuracy can be improved.

Purpose of the Study:

  • To investigate the correlation between infant cry acoustic parameters and gestational age.
  • To evaluate the utility of incorporating acoustic cry features into existing GA estimation methods.

Main Methods:

  • A prospective single-blind study involving 116 medically stable infants without craniofacial anomalies.
  • Recording and acoustic analysis of infant cry sounds during routine blood sampling.
  • Stepwise multiple linear regression analysis to develop a predictive model for GA.

Main Results:

  • Gestational age (GA) was significantly correlated with NBS, F0, Int, Jitt, and latency parameters.
  • A regression model incorporating NBS and acoustic parameters (F0, Latency, Int, Jitt) predicted real GA with 91.7% accuracy.
  • The developed formula: GA = (31.169) - (0.020 × F0) + (0.286 × NBS) - (0.003 × Latency) + (0.108 × Int) - (0.367 × Jitt).

Conclusions:

  • Adding acoustic parameters of infant cry (F0, Int, Jitt, latency) to the New Ballard Score (NBS) enhances gestational age estimation accuracy.
  • This combined approach offers a potentially valuable tool for clinical GA determination.
  • Further validation studies are recommended to confirm the clinical utility of these predictive formulas.