Weight-for-age distribution and case-mix adjusted outcomes of 14,307 paediatric intensive care admissions

Nicholas J Prince1, Katherine L Brown, Teumzghi F Mebrahtu

  • 1Respiratory Critical Care and Anaesthesia Unit, Institute of Child Health, University College London, London, WC1N 1EH, UK, nprince@nhs.net.

Insights

Children in paediatric intensive care (PIC) are underweight compared to UK averages. Extreme weight deviations, both underweight and overweight, increase mortality risk, with mild overweight showing the lowest risk.

Area of Science:

  • Pediatric Intensive Care Medicine
  • Clinical Epidemiology
  • Nutritional Science

Background:

  • Paediatric intensive care (PIC) admissions represent a vulnerable population with unique physiological characteristics.
  • Understanding weight distribution in PIC is crucial for assessing nutritional status and predicting outcomes.
  • Existing UK reference data may not accurately reflect the weight-for-age of children requiring intensive care.

Purpose of the Study:

  • To compare the weight-for-age distribution of PIC admissions against the general UK population.
  • To investigate whether admission weight-for-age is an independent predictor of mortality in critically ill children.
  • To identify specific weight categories associated with increased mortality risk.

Main Methods:

  • Calculation of weight-for-age standard deviation scores (SDS) for 12,458 PIC admissions (March 2003-December 2011).
  • Categorization of children into nine SDS groups to analyze mortality patterns.
  • Application of standardized mortality ratios (SMR) and logistic regression to assess risk-adjusted mortality.

Main Results:

  • The PIC population exhibited a mean weight-for-age significantly lower than the UK reference mean (1.04 SD below, p < 0.0001).
  • A U-shaped association was observed between weight-for-age and risk-adjusted mortality, with highest mortality at extreme underweight (SDS < -3.5) and extreme overweight (SDS > +3.5).
  • Admission weight-for-age, age, gender, and ethnicity were identified as independent risk factors for mortality. South Asian and 'other' ethnic groups faced significantly higher mortality risks.

Conclusions:

  • The weight distribution in the PIC population is skewed towards lower weight-for-age compared to the general UK population, with underweight extremes being over-represented.
  • Weight-for-age at admission is a significant independent risk factor for mortality in critically ill children.
  • Further research is warranted to explore the impact of malnutrition and the reasons behind ethnic disparities in mortality risk within PIC settings.
Abstract

Related Concept Videos

Pharmacokinetics in Pediatric Patients: Drug Distribution01:17

Pharmacokinetics in Pediatric Patients: Drug Distribution

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,...
547
Drug Dosing: Infants and Children01:29

Drug Dosing: Infants and Children

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...
1.0K
Pharmacokinetics in Pediatric Patients: Overview and Drug Absorption01:23

Pharmacokinetics in Pediatric Patients: Overview and Drug Absorption

Understanding the physiological differences in the pediatric population is crucial for effective pharmacotherapy. Neonates, infants, and children exhibit significant variations in gastric pH, gastric emptying time, intestinal transit time, and biliary function. These variations profoundly affect oral drug absorption, necessitating a nuanced approach to pediatric dosing.Neonates present with a unique physiological profile, having a gastric pH greater than 4 and faster and more irregular gastric...
954
Pharmacokinetics in Pediatric Patients: Drug Excretion01:26

Pharmacokinetics in Pediatric Patients: Drug Excretion

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...
400
z Scores and Area Under the Curve01:17

z Scores and Area Under the Curve

z scores are the standardized values obtained after converting a normal distribution into a standard normal distribution. A z score is measured in units of the standard deviation. The z score tells you how many standard deviations the value x is above (to the right of) or below (to the left of) the mean, μ. Values of x that are larger than the mean have positive z scores, and values of x that are smaller than the mean have negative z scores. If x equals the mean, then x has a z score of...
14.8K
Drug Dosing: Obese Patients01:21

Drug Dosing: Obese Patients

In the United States, obesity is a prominent concern. It is linked to heightened mortality rates due to increased occurrences of conditions such as hypertension, atherosclerosis, coronary artery disease, and diabetes compared to nonobese individuals. A patient is classified as obese if their actual body weight surpasses the ideal or desirable body weight by 20%, based on Metropolitan Life Insurance Company data. Ideal body weights consider average weights and heights for males and females...
364