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Gestational age estimates from singleton births conceived using assisted reproductive technology.

William M Callaghan1, Laura A Schieve, Patricia M Dietz

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Gestational age estimation using last menstrual period (LMP) is error-prone. Assisted reproductive technology (ART) births offer more accurate gestational age data, revealing insights into birthweight distributions and potential misclassifications in national surveillance.

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Area of Science:

  • Reproductive Medicine
  • Public Health Surveillance
  • Perinatal Epidemiology

Background:

  • Gestational age is crucial for public health research, typically estimated from the last menstrual period (LMP).
  • LMP-based estimation is prone to errors, leading to misclassification of gestational age.
  • Assisted reproductive technology (ART) pregnancies provide more precise gestational age data based on fertilization date, reducing LMP-related errors.

Purpose of the Study:

  • To analyze birthweight distributions for singleton livebirths conceived via ART.
  • To compare gestational age accuracy between ART and traditional LMP-based methods.
  • To identify potential misclassifications in national ART surveillance data.

Main Methods:

  • Birthweight distributions were plotted for ART singleton livebirths across gestational age categories (20-27, 28-31, 32-36, 37-44 weeks).
  • The study examined distributions of very-low-birthweight (<1500 g), moderately low-birthweight (1500-2499 g), and normal-birthweight infants.
  • ART data was compared with national vital statistics data regarding birthweight distribution modes.

Main Results:

  • ART births showed distinct birthweight distribution patterns across gestational age groups, including extended tails and secondary modes.
  • A high proportion of very-low-birthweight infants were observed at lower gestational ages, decreasing with increased gestation.
  • A consistent proportion of normal-birthweight infants below 34 weeks suggested potential gestational age misclassification in ART data, though less than in national vital statistics.

Conclusions:

  • ART births provide a valuable dataset for understanding precise gestational age and birthweight relationships.
  • Despite improved accuracy, residual misclassification may still exist in ART data, impacting birthweight distribution analysis.
  • Further research is needed to clarify residual misclassifications and the true nature of birthweight distributions in ART pregnancies.