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Related Concept Videos

Percentile01:18

Percentile

8.1K
A percentile indicates the relative standing of a data value when data are sorted into numerical order from smallest to largest. It represents the percentages of data values that are less than or equal to the pth percentile. For example, 15% of data values are less than or equal to the 15th percentile.
8.1K
Pharmacokinetics in Pediatric Patients: Drug Distribution01:17

Pharmacokinetics in Pediatric Patients: Drug Distribution

144
Drug distribution in the pediatric population exhibits unique challenges and considerations due to the physiological differences between children, particularly neonates and infants, and adults. A crucial aspect of pediatric pharmacology is understanding how these differences impact the pharmacokinetics of various drugs, necessitating age-specific dosing strategies to ensure efficacy and safety.Neonates and infants have a higher total body water content, ~75%–90% of their body weight,...
144
Drug Dosing: Infants and Children01:29

Drug Dosing: Infants and Children

118
Pediatric patient dosages diverge from adults due to disparities in body surface area, total body water, and extracellular fluid per kilogram of body weight. The dosing regimen considers the variations in pharmacokinetics and pharmacology across distinct age groups, encompassing preterm newborns, infants, young children, older children, and adolescents. Calculation of pediatric patient doses is predicated on determining body surface area, which exhibits a superior correlation with the child's...
118
Pharmacokinetics in Pediatric Patients: Drug Excretion01:26

Pharmacokinetics in Pediatric Patients: Drug Excretion

120
In pediatric medicine, understanding the renal function and drug elimination nuances is crucial for administering safe and effective treatments. Newborns, in particular, display markedly slower renal functions than adults, profoundly affecting how drugs are cleared from their bodies. This slower drug clearance requires clinicians to extend the dosing intervals for many medications to prevent drug accumulation and toxicity while ensuring therapeutic efficacy.One key area where these adjustments...
120
Pharmacokinetics in Pediatric Patients: Drug Metabolism01:24

Pharmacokinetics in Pediatric Patients: Drug Metabolism

94
In pediatric care, understanding the nuances of hepatic drug metabolism is crucial, as it significantly differs from that of adults. This divergence is primarily due to the developmental stage of drug-metabolizing enzymes, which affects how medications are processed in the body. In neonates, for instance, the activity of Phase I enzymes—critical for the initial breakdown of drugs—is markedly reduced, functioning at just 20–40% of the levels seen in adults. This reduction poses...
94
Review and Preview01:10

Review and Preview

8.2K
In statistics, several tools are used to interpret the data. Measures of central tendency represent the characteristics of the data, such as mean, median, and mode. Additionally, measures of variance like standard deviation and range are used to find the spread of data from the mean. Relative standing measures the distance between data locations. Commonly used measures of relative standings are percentile, z score, and quartiles.
Percentiles are a type of fractile that partition data into...
8.2K

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Related Experiment Video

Updated: Nov 30, 2025

Assessment of Child Anthropometry in a Large Epidemiologic Study
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Using nationally representative percentiles to interpret PROMIS pediatric measures.

Adam C Carle1,2,3, Katherine B Bevans4, Carole A Tucker4

  • 1James M. Anderson Center for Health Systems Excellence, Cincinnati Children's Hospital Medical Center, Cincinnati, OH, USA. adam.carle@cchmc.org.

Quality of Life Research : an International Journal of Quality of Life Aspects of Treatment, Care and Rehabilitation
|November 17, 2020
PubMed
Summary

This study provides US pediatric quality of life percentiles for PROMIS measures, enabling interpretation of children's well-being against national standards. Scores should be viewed in broad severity groups, not exact percentiles.

Keywords:
InterpretationPROMISPatient reported outcomesPediatricsPercentiles

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Area of Science:

  • Pediatric Health Outcomes
  • Psychometrics
  • Child Psychology

Background:

  • Assessing pediatric quality of life is crucial for understanding child well-being.
  • Standardized measures are needed to interpret scores relative to a general population.

Purpose of the Study:

  • To estimate national US pediatric percentiles for numerous PROMIS (Patient-Reported Outcomes Measurement Information System) measures.
  • To provide benchmarks for interpreting children's self-reported health and functioning.

Main Methods:

  • Utilized two nationally representative samples of children aged 5-17 years.
  • Data were collected from parents and children via the GfK Knowledge Panel online probability sample.

Main Results:

  • Measures developed with representative samples showed expected medians near 50.
  • Other measures had 50th percentiles deviating significantly from 50, with some exhibiting high floors or low ceilings.
  • No PROMIS pediatric measure's percentiles perfectly matched a normal distribution.

Conclusions:

  • This study offers essential data for interpreting pediatric quality of life scores against US general population benchmarks.
  • Users should consider broad severity categories rather than precise percentile values for evaluation.
  • These findings aid clinicians and researchers in understanding children's health status.