Related Experiment Video

Updated: Feb 9, 2026

Following in Real Time the Impact of Pneumococcal Virulence Factors in an Acute Mouse Pneumonia Model Using Bioluminescent Bacteria
11:32

Following in Real Time the Impact of Pneumococcal Virulence Factors in an Acute Mouse Pneumonia Model Using Bioluminescent Bacteria

Published on: February 23, 2014

15.7K

Factors Associated With Pneumonia Severity in Children: A Systematic Review

Preston Dean1, Todd A Florin2,3

  • 1Cincinnati Children's Hospital Medical Center Residency Training Program, Cincinnati Children's Hospital Medical Center, Ohio.

Journal of the Pediatric Infectious Diseases Society
|June 1, 2018
PubMed

Insights

Predicting severe outcomes in childhood community-acquired pneumonia remains challenging. This review examines current evidence and emerging data for risk-stratifying pediatric pneumonia patients to improve care.

Area of Science:

  • Pediatrics
  • Infectious Diseases
  • Respiratory Medicine

Background:

  • Community-acquired pneumonia (CAP) in children causes significant morbidity and mortality.
  • Predicting severe outcomes like clinical deterioration or complications in pediatric CAP is limited.
  • Current pneumonia severity criteria, including PIDS/IDSA guidelines, lack formal validation in children.

Purpose of the Study:

  • To systematically review the evidence for defining and predicting pneumonia severity in children.
  • To summarize emerging data on risk stratification for pediatric pneumonia.
  • To inform clinical decision-making and resource allocation for pediatric CAP.

Main Methods:

  • Systematic literature review.
  • Analysis of current evidence on pediatric pneumonia severity definitions.
  • Evaluation of emerging research on risk stratification tools.

Main Results:

  • Limited data exist for predicting severe outcomes in pediatric CAP.
  • Existing PIDS/IDSA criteria for pneumonia severity are adapted from adult guidelines and not validated in children.
  • Definitions of pneumonia severity vary across studies, hindering standardization.

Conclusions:

  • There is a critical need for validated criteria to define and predict pneumonia severity in children.
  • Further research is required to develop and implement effective risk stratification tools for pediatric pneumonia.
  • Improved prediction of severe outcomes can enhance patient management and reduce mortality.

More Related Videos

A Robust Pneumonia Model in Immunocompetent Rodents to Evaluate Antibacterial Efficacy against S. pneumoniae, H. influenzae, K. pneumoniae, P. aeruginosa or A. baumannii09:17

A Robust Pneumonia Model in Immunocompetent Rodents to Evaluate Antibacterial Efficacy against S. pneumoniae, H. influenzae, K. pneumoniae, P. aeruginosa or A. baumannii

Published on: January 2, 2017

15.2K
A Mouse Model for the Transition of Streptococcus pneumoniae from Colonizer to Pathogen upon Viral Co-Infection Recapitulates Age-Exacerbated Illness12:21

A Mouse Model for the Transition of Streptococcus pneumoniae from Colonizer to Pathogen upon Viral Co-Infection Recapitulates Age-Exacerbated Illness

Published on: September 28, 2022

3.2K

Related Concept Videos

Review and Preview01:10

Review and Preview

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...
8.4K
Review and Preview01:13

Review and Preview

Data are individual items of information obtained from a population or sample. Data may be classified as qualitative (categorical), quantitative continuous, or quantitative discrete. Because it is not practical to measure the entire population in a study, researchers use samples to represent the population. A random sample is a representative group from the population chosen by using a method that gives each individual in the population an equal chance of being included in the sample. Random...
11.6K
Pneumonia I: Introduction01:30

Pneumonia I: Introduction

Pneumonia is an acute respiratory infection that targets the lungs, specifically the alveoli. These tiny air sacs, essential for oxygen exchange, become engorged with pus and fluid, severely hindering breathing, decreasing oxygen absorption, and causing significant pain and discomfort during respiration.
Risk Factors
Various factors influence the likelihood of developing pneumonia. Age plays a crucial role, with infants, children under two, and individuals over 65 at increased risk due to their...
911
Pneumonia II: Pathophysiology01:29

Pneumonia II: Pathophysiology

The pathophysiology of pneumonia involves the following steps:
3.0K
Random and Systematic Errors01:20

Random and Systematic Errors

Scientists always try their best to record measurements with the utmost accuracy and precision. However, sometimes errors do occur. These errors can be random or systematic. Random errors are observed due to the inconsistency or fluctuation in the measurement process, or variations in the quantity itself that is being measured. Such errors fluctuate from being greater than or less than the true value in repeated measurements. Consider a scientist measuring the length of an earthworm using a...
15.2K
Systematic Sampling Method01:17

Systematic Sampling Method

Sampling is a technique to select a portion (or subset) of the larger population and study that portion (the sample) to gain information about the population. Data are the result of sampling from a population. The sampling method ensures that samples are drawn without bias and accurately represent the population. Because measuring the entire population in a study is not practical, researchers use samples to represent the population of interest.
Systematic sampling is one of the simplest methods...
13.4K