Related Experiment Video
Updated: Jan 24, 2026

08:50
Predictive Immune Modeling of Solid Tumors
Published on: February 25, 2020
7.5K
Immune biomarkers predicting bronchiolitis disease severity: A systematic review
David G Hancock1, Elena C Cavallaro2, Elizabeth Doecke1
1Department of Paediatrics and Child Health, Flinders University, Bedford Park, Australia.
Paediatric Respiratory Reviews
|May 27, 2019
Summary
Identifying immune biomarkers for infant bronchiolitis severity is challenging. Current research shows many potential biomarkers, but inconsistent results and study variations prevent reliable prediction of disease severity in children.
Area of Science:
- Pediatric Infectious Diseases
- Immunology
- Clinical Biomarkers
Background:
- Bronchiolitis is a major cause of infant hospitalization with unpredictable severity.
- Accurate prognostication is crucial for appropriate clinical management and resource allocation.
Purpose of the Study:
- To systematically review immune biomarkers associated with bronchiolitis disease severity in infants.
- To identify reliable biomarkers for predicting and stratifying disease severity in young children.
Main Methods:
- A comprehensive literature search was conducted across major scientific databases.
- Included studies focused on immune biomarkers and bronchiolitis severity in children under 24 months.
- Data extraction and synthesis were performed on identified biomarkers and study characteristics.
Main Results:
- 90 studies identified 252 distinct immune biomarkers.
- 99 biomarkers showed a significant association with severity, but only 18 were significant in multiple studies.
- Significant heterogeneity in study definitions and conflicting results across studies were observed for candidate biomarkers.
Conclusions:
- The current evidence base for immune biomarkers in bronchiolitis is highly heterogeneous.
- Lack of consistent findings and consensus on definitions hinders clinical utility.
- Further standardized research is needed to validate biomarkers for predicting infant bronchiolitis severity.
Related Concept Videos
Review and Preview
8.3K
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...
Percentiles are a type of fractile that partition data into...
8.3K
Review and Preview
10.9K
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...
10.9K
What is the Immune System?
127.2K
Overview
127.2K
Predicting Molecular Geometry
45.6K
VSEPR Theory for Determination of Electron Pair Geometries
45.6K
Random and Systematic Errors
14.7K
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...
14.7K
Systematic Sampling Method
12.7K
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...
Systematic sampling is one of the simplest methods...
12.7K

