Growth curves: how to best measure growth of the preterm infant

Jatinder Bhatia1

  • 1Department of Pediatrics, Medical College of Georgia, Georgia Health Sciences University, Augusta, GA 30912-3740, USA. jatindeb@georgiahealth.edu

Insights

Developing new growth curves for preterm infants is crucial. Current methods are ineffective, necessitating normative data from healthy premature neonates for accurate infant evaluation.

Area of Science:

  • Neonatalogy
  • Pediatric Growth and Development
  • Anthropometry

Background:

  • Birth weight is a key infant evaluation metric, typically compared against standard growth curves for full-term infants.
  • Existing growth assessment methods for preterm infants are limited due to factors like unknown causes of premature birth and uncertain gestational age.
  • Intrauterine growth curves, while used, are derived from cross-sectional data of premature infants and do not represent normal growth conditions.

Purpose of the Study:

  • To address the limitations in evaluating preterm infants by establishing normative growth curves.
  • To create growth references specifically for healthy preterm neonates.
  • To provide a more accurate tool for assessing infant development post-birth.

Main Methods:

  • The study highlights the need for developing new growth curves based on healthy preterm infants.
  • It emphasizes the inadequacy of current cross-sectional intrauterine growth curves.
  • The approach requires periodic updates to reflect contemporary health trends.

Main Results:

  • Current standard growth curves are not well-suited for preterm infants.
  • Intrauterine growth curves lack representation of normal growth.
  • There is a clear need for normative growth data derived from healthy preterm populations.

Conclusions:

  • Normative growth curves derived from healthy preterm infants are essential for accurate neonatal assessment.
  • These new curves will improve the evaluation of infants born prematurely.
  • Regular updates are recommended to maintain relevance with changing population health and maternal characteristics.

Related Concept Videos

Microbial Growth Measurement: Indirect Methods01:27

Microbial Growth Measurement: Indirect Methods

Estimating microbial growth is essential for understanding population dynamics and environmental adaptations. Indirect methods provide valuable insights by measuring parameters such as turbidity, metabolic activity, and biomass, enabling efficient and reproducible assessments.During exponential growth, microbial cells scatter light proportionally to their biomass, a principle used in turbidity measurements. About one million cells per milliliter produce detectable scattering, which a...
Microbial Growth Measurement: Direct Methods01:23

Microbial Growth Measurement: Direct Methods

Direct methods for measuring microbial populations in a culture are essential tools in microbiology, providing quantitative data for various applications. Among these, microscopic counts, plate counts, and serial dilution are widely used techniques, each with unique principles and applications.Microscopic CountsMicroscopic counting involves the use of a Petroff-Hausser chamber, a specialized microscope slide with a grid and defined depth. By observing a liquid culture under a microscope,...
Bacterial Growth Curve01:28

Bacterial Growth Curve

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...