» Articles » PMID: 28726662

CYTOKINES AS THE PREDICTORS OF SEVERE MYCOPLASMA PNEUMONIAE PNEUMONIA IN CHILDREN (REVIEW)

Overview
Specialty General Medicine
Date 2017 Jul 21
PMID 28726662
Citations 8
Authors
Affiliations
Soon will be listed here.
Abstract

In spite of many attempts to differentiate bacterial from viral disease and predict severity and outcome, the etiologic diagnosis of paediatric community acquired pneumonia and the estimation of potential outcomes remain unsolved problems in most cases. Mycoplasma pneumoniae is one of the major pathogens causing CAP in children. Although MP infection was traditionally thought to be a self-limited process, more and more severe cases even fatal cases of MP infections were reported in recent years. So it is essential for pediatricians to recognize severe or refractory or severe MP early, treat it promptly and prevent the progress of the disease. In recent years, several new biomarkers have been tested in children with CAP. Some of the biomarkers used for etiologic diagnosis in children with CAP and they also have been used the MP infection severity. Among traditional biomarkers, several cytokines appears to be effective both in selection of bacterial cases and in evaluation of severity. However, a precise cut-off level able to separate bacterial from viral cases and mild from severe cases has not been defined. Further studies enrolled with a large number of children with Mycoplasma pneumoniae is needed to be carried out to identify the potential utility of different cytokines as the good predictors.

Citing Articles

Development of a model for early differentiation of adenovirus pneumonia from pneumonia.

Zhang H, Li H, Wang L, Huang L, Ma Q, Wu H Transl Pediatr. 2022; 11(11):1766-1775.

PMID: 36506774 PMC: 9732605. DOI: 10.21037/tp-22-6.


Effect Evaluation of Artificial Intelligence-Based Electronic Health PDCA Nursing Model in the Treatment of Mycoplasma Pneumonia in Children.

Zhao Y J Healthc Eng. 2022; 2022:1956944.

PMID: 35310185 PMC: 8933083. DOI: 10.1155/2022/1956944.


Analysis of Clinical Related Factors of Severe Mycoplasma pneumoniae Pneumonia in Children Based on Imaging Diagnosis.

Wang X, Lin X Comput Math Methods Med. 2022; 2022:4852131.

PMID: 35265171 PMC: 8898849. DOI: 10.1155/2022/4852131.


Analysis of the Nursing Effect of Respiratory Critical Illness Based on Refined Nursing Management.

Shi W, Shen Y, Zhang B, Jin M, Qian J, Jin X Comput Math Methods Med. 2022; 2022:6458705.

PMID: 35178117 PMC: 8847018. DOI: 10.1155/2022/6458705.


Seeking diagnostic and prognostic biomarkers for childhood bacterial pneumonia in sub-Saharan Africa: study protocol for an observational study.

Valim C, Olatunji Y, Isa Y, Salaudeen R, Golam S, Knol E BMJ Open. 2021; 11(9):e046590.

PMID: 34593486 PMC: 8487183. DOI: 10.1136/bmjopen-2020-046590.