The Role of TRAIL, IP-10 and MxA in Distinguishing Acute Community-acquired Viral and Bacterial Pneumonia in Children

Acute paediatric community-acquired pneumonia (pedCAP) represents a significant burden on child health and highlights the need for accurate diagnostic tools. This study aimed to differentiate between acute community-acquired viral and bacterial pedCAP using TRAIL, IP-10, and MxA markers.The study a single-center prospective study was conducted between January 2019 to January 2020. During the follow-up period, 315 patients with paediatric community-acquired pneumonia were followed up. The analysis was performed with 52 patients aged 5 years and younger in whom pathogens were detected. 24 control groups were also included to see the change of markers in intact subjects. The patients' medical history and samples were obtained upon hospital admission or within the first day.The mean values of MxA, TRAIL, and IP-10 differed significantly among all three groups (all p values p<0.01). The ROC analysis indicated that serum MxA, TRAIL, and IP-10 parameters had diagnostic value in predicting the differentiation of viral pedCAP from bacterial pedCAP .The TRAIL, MxA, and IP-10 markers have diagnostic value in distinguishing viral pneumonia and bacterial pneumonia. Among these markers, MxA exhibits the highest sensitivity. High levels of MxA, TRAIL and IP-10 in combination with low C-reactive protein (CRP), procalcitonin (PCT) and neutrophil lymphocyte ratio (NLR) values to differentiate viral from bacterial pedCAP will significantly contribute to the accurate identification of viral LRTI.

Authors

Institutions

Publication Details

Journal
Klinische Pädiatrie
Published
2025-07-14
DOI
https://doi.org/10.1055/a-2623-7335
Primary Topic
Pneumonia and Respiratory Infections
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

The Role of TRAIL, IP-10 and MxA in Distinguishing Acute Community-acquired Viral and Bacterial Pneumonia in Children

Süleyman Caner Karahan, Serap Özer Yaman, Fırat Gündoğmuş, Zeynep Gökçe Gayretli Aydın
Klinische Pädiatrie
Pneumonia and Respiratory Infections
article

The Role of TRAIL, IP-10 and MxA in Distinguishing Acute Community-acquired Viral and Bacterial Pneumonia in Children

Süleyman Caner Karahan, Serap Özer Yaman, Fırat Gündoğmuş, Zeynep Gökçe Gayretli Aydın
article en

Abstract

Acute paediatric community-acquired pneumonia (pedCAP) represents a significant burden on child health and highlights the need for accurate diagnostic tools. This study aimed to differentiate between acute community-acquired viral and bacterial pedCAP using TRAIL, IP-10, and MxA markers.The study a single-center prospective study was conducted between January 2019 to January 2020. During the follow-up period, 315 patients with paediatric community-acquired pneumonia were followed up. The analysis was performed with 52 patients aged 5 years and younger in whom pathogens were detected. 24 control groups were also included to see the change of markers in intact subjects. The patients' medical history and samples were obtained upon hospital admission or within the first day.The mean values of MxA, TRAIL, and IP-10 differed significantly among all three groups (all p values p<0.01). The ROC analysis indicated that serum MxA, TRAIL, and IP-10 parameters had diagnostic value in predicting the differentiation of viral pedCAP from bacterial pedCAP .The TRAIL, MxA, and IP-10 markers have diagnostic value in distinguishing viral pneumonia and bacterial pneumonia. Among these markers, MxA exhibits the highest sensitivity. High levels of MxA, TRAIL and IP-10 in combination with low C-reactive protein (CRP), procalcitonin (PCT) and neutrophil lymphocyte ratio (NLR) values to differentiate viral from bacterial pedCAP will significantly contribute to the accurate identification of viral LRTI.

Klinische Pädiatrie
Karadeniz Technical University (TR)
Good health and well-being
Openalex Percentile: Top 75%
Pneumonia and Respiratory Infections
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.