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The bacterial growth curve is a fundamental concept in microbiology that describes the dynamics of bacterial population growth in a closed system with controlled environmental conditions, such as temperature and nutrient availability. This curve is divided into four distinct phases: lag, log (exponential), stationary, and death phases, each reflecting a unique stage of bacterial adaptation and growth. During the lag phase, bacteria acclimate to their surroundings by synthesizing essential...

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Optimized Staining and Proliferation Modeling Methods for Cell Division Monitoring using Cell Tracking Dyes
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Customised antenatal growth charts.

J Gardosi1, A Chang, B Kalyan

  • 1Department of Obstetrics and Gynaecology, Queen's Medical Centre, Nottingham, UK.

Lancet (London, England)
|February 1, 1992
PubMed
Summary
This summary is machine-generated.

This study introduces a customized antenatal chart for precise fetal growth assessment. By adjusting for maternal factors, it improves accuracy in identifying small or large for gestational age infants, reducing misclassifications.

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Area of Science:

  • Maternal-fetal medicine
  • Quantitative obstetrics
  • Clinical biometry

Background:

  • Standard fetal growth charts lack personalization.
  • Physiological variables significantly influence birthweight.
  • Accurate fetal growth assessment is crucial for optimal pregnancy management.

Purpose of the Study:

  • To develop a computer-generated antenatal chart for individualized fetal growth assessment.
  • To incorporate maternal physiological variables into fetal growth estimation.
  • To enhance the precision of identifying deviations from normal fetal growth patterns.

Main Methods:

  • Designed a customizable computer-generated antenatal chart.
  • Incorporated maternal characteristics (weight, height, ethnicity, parity) and previous birthweights.
  • Utilized longitudinal ultrasound data for intrauterine weight gain.
  • Calculated correction factors for significant determinants of birthweight.

Main Results:

  • Maternal weight, height, ethnic group, and parity were significant determinants of birthweight.
  • Adjusted centiles reclassified 28% of small and 22% of large for gestational age infants as normal.
  • Conventional charts missed 24% of small and 26% of large infants identified by adjusted centiles.

Conclusions:

  • Personalized fetal growth assessment using adjusted centiles is more precise.
  • This approach reduces misclassification of fetal growth abnormalities.
  • Improved accuracy can decrease unnecessary investigations, interventions, and parental anxiety.