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The Clinical Value of Novel Inflammatory Biomarkers for Predicting Mycoplasma pneumoniae Infection in Children
Liqun Shao1, Bohai Yu1, Ying Lyu1
1Department of Medical Laboratory, Shenzhen Hospital (Futian) of Guangzhou University of Chinese Medicine, Shenzhen, People's Republic of China.
Background:
Mycoplasma pneumoniae (MP) is a major cause of community-acquired pneumonia (CAP), posing diagnostic challenges. This study evaluates novel inflammatory biomarkers, including neutrophil-to-lymphocyte ratio (NLR), monocyte-to-lymphocyte ratio (MLR), platelet-to-lymphocyte ratio (PLR), systemic immune-inflammation index (SII) and system inflammation response index (SIRI) for MP diagnosis in children.
Methods:
Complete blood count (CBC) results of 424 children with MP infection and 150 health children were collected. NLR, MLR, PLR, SII and SIRI, were respectively calculated. Shapiro-Wilk test, Student's t-test, Mann-Whitney U-test and Pearson chi-squared test were used to analyze the clinical data of the patients and participants. Multiple logistic regression analysis was conducted based on the results of single factor analysis. Receiver operating characteristic (ROC) curve was drawn to evaluate the potential of the above biomarkers for MP infection.
Results:
Compared with the control group, white blood cell (WBC) count, neutrophil (NEU) count, monocyte (MON) count, NLR, MLR, PLR, SII and SIRI were significantly higher and lymphocyte count (LYM) and platelet (PLT) were significantly lower than those in MP group. The results of multivariate logistic regression analysis indicate that MLR and SIRI can serve as major risk factors for MP infection in children. The predictive accuracy of logistic regression model based on MLR and SIRI is 83.28%. The area under the curve (AUC) results showed that SIRI has better predicting value of MP infection (AUC = 0.892, Sensitivity = 75.7%, Specificity = 92.0%).
Conclusion:
This study described the significance of novel inflammatory biomarkers in children with MP infection and may provide new auxiliary diagnostic indicators for MP infection.
Insights
Novel inflammatory biomarkers like the system inflammation response index (SIRI) show promise for diagnosing Mycoplasma pneumoniae (MP) infections in children. These markers, derived from complete blood counts, offer new auxiliary diagnostic tools for community-acquired pneumonia caused by MP.
Area of Science:
- Pediatric Infectious Diseases
- Hematology
- Diagnostic Biomarkers
Background:
- Mycoplasma pneumoniae (MP) is a significant cause of community-acquired pneumonia (CAP) in children.
- Accurate and timely diagnosis of MP infections presents challenges.
- Novel inflammatory biomarkers require evaluation for their diagnostic utility.
Purpose of the Study:
- To assess the diagnostic value of neutrophil-to-lymphocyte ratio (NLR), monocyte-to-lymphocyte ratio (MLR), platelet-to-lymphocyte ratio (PLR), systemic immune-inflammation index (SII), and system inflammation response index (SIRI) in pediatric MP infections.
- To identify reliable inflammatory markers for aiding MP diagnosis in children.
Main Methods:
- Complete blood count (CBC) data from 424 children with MP infection and 150 healthy children were analyzed.
- Calculation of NLR, MLR, PLR, SII, and SIRI.
- Statistical analysis including logistic regression and ROC curve analysis to determine predictive values.
Main Results:
- Children with MP infection showed significantly higher WBC, NEU, MON, NLR, MLR, PLR, SII, and SIRI compared to controls.
- MLR and SIRI were identified as major risk factors for MP infection in children via multivariate logistic regression.
- A logistic regression model using MLR and SIRI achieved 83.28% predictive accuracy, with SIRI demonstrating a high AUC of 0.892.
Conclusions:
- Novel inflammatory biomarkers, particularly SIRI and MLR, are significant in pediatric MP infections.
- These biomarkers can serve as valuable auxiliary diagnostic indicators for MP infection in children.
- The findings support the integration of these markers into diagnostic strategies for pediatric CAP.
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