Weight Gain Trajectory Predicts Long-term Overweight and Obesity After Pediatric Liver Transplant

Sonja Marie Swenson1, Emily Rothbaum Perito2,3

  • 1School of Medicine.

Insights

Pediatric liver transplant recipients often become overweight within one year, with nearly half affected by three years post-transplant. Early identification of overweight children is crucial for intervention and counseling.

Area of Science:

  • Pediatric Gastroenterology
  • Transplant Surgery
  • Endocrinology

Background:

  • Liver transplantation in children can lead to significant post-transplant weight changes.
  • Overweight and obesity are growing concerns in pediatric populations, especially those with chronic medical conditions.

Purpose of the Study:

  • To identify early predictors of long-term overweight and obesity in pediatric liver transplant recipients.
  • To analyze weight and BMI trajectories in children following liver transplantation.

Main Methods:

  • Retrospective review of 70 children undergoing liver transplant before age 6.
  • Analysis of body mass index (BMI), weight, and height percentiles at transplant and up to 5 years post-transplant.
  • Examination of BMI, weight gain, and failure-to-thrive (FTT) as predictors of later overweight/obesity.

Main Results:

  • Overweight/obesity prevalence peaked at 44% at 3 years post-transplant, decreasing to 26% by 5 years.
  • Children overweight/obese at 3 years were significantly more likely to be overweight/obese at transplant and 6-12 months post-transplant.
  • Rapid weight gain post-transplant and failure-to-thrive at transplant did not predict later overweight/obesity.

Conclusions:

  • Most pediatric liver transplant recipients experience rapid weight gain post-transplant.
  • Overweight/obesity often develops within the first year, highlighting this period for risk identification.
  • Early identification and counseling are recommended for children at high risk of post-transplant overweight/obesity.
Abstract

Related Concept Videos

Orthogonal Trajectories01:26

Orthogonal Trajectories

Orthogonal trajectories describe the geometric relationship between two families of curves that intersect each other at right angles. One illustrative case involves a family of parabolas that open sideways along the x-axis. These curves share a common shape but differ by a scaling parameter, resulting in a set of curves that all pass through the origin and widen at different rates.Determining Orthogonal TrajectoriesTo identify the orthogonal trajectories for these parabolas, the first step...
70
Gain01:15

Gain

Gain and phase shift are properties of linear circuits that describe the effect a circuit has on a sinusoidal input voltage or current. The circuit's behavior that contains reactive elements will depend on the frequency of the input sinusoid. As a result, it is observed that the gain and phase shift will all be frequency functions.
Gain:
Suppose Vin is the input and Vout is the output signal to a circuit.
427
Obesity01:24

Obesity

The Body Mass Index (BMI) is a numerical value derived from a person's weight and height, used to categorize individuals into weight ranges. It is calculated using the formula: weight in kilograms divided by height in meters squared. Obesity is a health condition characterized by excessive accumulation of adipose tissue that poses health risks, often diagnosed with a BMI ≥ 30. This excess fat storage occurs when surplus dietary calories are converted into triglycerides and stored in...
1.4K
Weighted Mean00:57

Weighted Mean

While taking the arithmetic, geometric, or harmonic mean of a sample data set, equal importance is assigned to all the data points. However, all the values may not always be equally important in some data sets. An intrinsic bias might make it more important to give more weightage to specific values over others.
For example, consider the number of goals scored in the matches of a tournament. While computing the average number of goals scored in the tournament, it may be more important to...
6.4K
Predicting Molecular Geometry02:27

Predicting Molecular Geometry

VSEPR Theory for Determination of Electron Pair Geometries
46.0K
Long-term Depression01:05

Long-term Depression

Long-term depression, or LTD, is one of the ways by which synaptic plasticity—changes in the strength of chemical synapses—can occur in the brain. LTD is the process of synaptic weakening that occurs over time between pre and postsynaptic neuronal connections. The synaptic weakening of LTD works in opposition to synaptic strengthening by long-term potentiation (LTP) and together are the main mechanisms that underlie learning and memory.
33.3K