1887

Journal of Medical Microbiology logo

Volume 73, Issue 9

Routine blood parameters as auxiliary diagnostic tools for infection in children No Access

Abstract

Recently, the incidence of () infection in children has been increasing annually. Early differential diagnosis of infection can not only avoid the abuse of antibiotics, but also is essential for early treatment and reduction of transmission.

The change of routine blood parameters may have important clinical significance for the diagnosis of infection, but it has not been reported so far.

This study aims to establish a predictive model for infection and explore the changes and clinical value of routine blood parameters in children with infection, serving as auxiliary indicators for the diagnosis and differentiation of clinical infection.

A total of 770 paediatric patients with respiratory tract infections were enrolled in this study, including 360 in the group, 40 in the SARS-CoV-2 group, 200 in the influenza A virus group, and 170 in the control group. The differences of routine blood parameters among all groups were compared, and risk factors were analysed using multivariate logistics analysis, and the diagnostic efficacy of differential indicators using ROC curves.

This study revealed that Mono% (OR: 3.411; 95% CI: 1.638–7.102; =0.001) was independent risk factor associated with infection, and Mono% (AUC=0.786, the optimal cutoff at 7.8%) had a good discriminative ability between patients with infection and healthy individuals. Additionally, Mono% (OR: 0.424; 95% CI: 0.231–0.781; =0.006) and Lymp% (OR: 0.430; 95% CI: 0.246–0.753; =0.003) were independent risk factors for distinguishing infection from influenza A virus infection, and the Lymp% (AUC=0.786, the optimal cutoff at 22.1%) and Net% (AUC=0.761, the optimal cutoff at 65.2%) had good discriminative abilities between infection and influenza A infection. Furthermore, platelet distribution width (OR: 0.680; 95% CI: 0.538–0.858; =0.001) was independent risk factor for distinguishing infection from SARS-CoV-2 infection. Meanwhile, the ROC curve demonstrated that PDW (AUC=0.786, the optimal cutoff at 15%) has a good ability to differentiate between infection and SARS-CoV-2 infection.

This study demonstrates that routine blood parameters can be used as auxiliary diagnostic indicators for infection and provide reference for the diagnosis and differentiation of clinical infection.

  • Received:
  • Accepted:
  • Published Online:
Keyword(s): diagnosis , influenza A , Mycoplasma pneumoniae , routine blood examination and SARS-CoV-2
Funding
This study was supported by the:
  • Foundation of Education Department of Anhui Province of China (Award 2023AH053165)
    • Principle Award Recipient: BingChen
© 2024 The Authors
Loading

Article metrics loading...

/content/journal/jmm/10.1099/jmm.0.001885
2024-09-04
2024-09-18
Loading full text...

Full text loading...

References

  1. Neeser OL, Vukajlovic T, Felder L, Haubitz S, Hammerer-Lercher A et al. A high C-reactive protein/procalcitonin ratio predicts Mycoplasma pneumoniae infection. Clin Chem Lab Med 2019; 57:1638–1646 [View Article] [PubMed]
     [Google Scholar]
  2. Zhu Y, Luo Y, Li L, Jiang X, Du Y et al. Immune response plays a role in Mycoplasma pneumoniae pneumonia. Front Immunol 2023; 14:14 [View Article]
     [Google Scholar]
  3. Nantanda R, Bwanga F, Najjingo I, Ndeezi G, Tumwine JK. Prevalence, risk factors and outcome of Mycoplasma pneumoniae infection among children in Uganda: a prospective study. Paediatr Int Child Health 2021; 41:188–198 [View Article] [PubMed]
     [Google Scholar]
  4. Wang Y, Yu X, Liu F, Tian X, Quan S et al. Respiratory microbiota imbalance in children with Mycoplasma pneumoniae pneumonia. Emerg Microb Infect 2023; 12: [View Article]
     [Google Scholar]
  5. Sauteur PMM, Beeton ML, Uldum SA, Bossuyt N, Vermeulen M et al. Mycoplasma pneumoniae detections before and during the COVID-19 pandemic: results of a global survey, 2017 to 2021. Euro Surveill 2022; 27:19 [View Article]
     [Google Scholar]
  6. Meng G-L, Kang R, Cheng X-Y, Wang Q, Xie Y. Laboratory analysis of positive rate of Mycoplasma pneumoniae antibody among 53,273 children with respiratory tract infections in Xi’an from 2017 to 2020. Transl Pediatr 2022; 11:625–630 [View Article] [PubMed]
     [Google Scholar]
  7. Parums DV. Editorial: outbreaks of post-pandemic childhood pneumonia and the re-emergence of endemic respiratory infections. Med Sci Monit 2023; 29:e943312 [View Article] [PubMed]
     [Google Scholar]
  8. Wang X, Li M, Luo M, Luo Q, Kang L et al. Mycoplasma pneumoniae triggers pneumonia epidemic in autumn and winter in Beijing: a multicentre, population-based epidemiological study between 2015 and 2020. Emerg Microb Infect 2022; 11:1508–1517 [View Article]
     [Google Scholar]
  9. Meyer Sauteur PM, Krautter S, Ambroggio L, Seiler M, Paioni P et al. Improved diagnostics help to identify clinical features and biomarkers that predict Mycoplasma pneumoniae community-acquired pneumonia in children. Clin Infect Dis 2020; 71:1645–1654 [View Article] [PubMed]
     [Google Scholar]
  10. Bajantri B, Venkatram S, Diaz-Fuentes G. Mycoplasma pneumoniae: a potentially severe infection. J Clin Med Res 2018; 10:535–544 [View Article] [PubMed]
     [Google Scholar]
  11. Meyer Sauteur PM, Unger WWJ, Nadal D, Berger C, Vink C et al. Infection with and carriage of Mycoplasma pneumoniae in children. Front Microbiol 2016; 7:329 [View Article] [PubMed]
     [Google Scholar]
  12. Pan Y, Ye G, Zeng X, Liu G, Zeng X et al. Can routine laboratory tests discriminate SARS-CoV-2-infected pneumonia from other causes of community-acquired pneumonia?. Clin Transl Med 2020; 10:161–168 [View Article] [PubMed]
     [Google Scholar]
  13. Wang W, Li SH. Use of common blood parameters for the differential diagnosis of childhood infections. PLoS One 2022; 17:e0273236 [View Article]
     [Google Scholar]
  14. Chen Y, Han P, Gao Y, Jiang R, Tao M et al. The value of the neutrophil to lymphocyte ratio and PLT count for the diagnosis and prediction of COVID-19 severity. PLoS One 2023; 18:e0293432 [View Article]
     [Google Scholar]
  15. Ma A, Wang G, Du Y, Guo W, Guo J et al. The clinical relevance of neutrophil-to-lymphocyte ratio and platelet-to-lymphocyte ratio in chronic obstructive pulmonary disease with lung cancer. Front Oncol 2022; 12:902955 [View Article] [PubMed]
     [Google Scholar]
  16. Cheng Y, Cheng Y, Dai S, Hou D, Ge M et al. The prevalence of mycoplasma pneumoniae among children in Beijing before and during the COVID-19 pandemic. Front Cell Infect Microbiol 2022; 12:854505 [View Article] [PubMed]
     [Google Scholar]
  17. Zhang L, Lai M, Ai T, Liao H, Huang Y et al. Analysis of mycoplasma pneumoniae infection among children with respiratory tract infections in hospital in Chengdu from 2014 to 2020. Transl Pediatr 2021; 10:990–997 [View Article]
     [Google Scholar]
  18. Cai F, Shou X, Ye Q. Epidemiological study on Mycoplasma pneumoniae and Chlamydia pneumoniae infection of hospitalized children in a single center during the COVID-19 pandemic. Front Cell Infect Microbiol 2022; 12:843463 [View Article] [PubMed]
     [Google Scholar]
  19. Wang Z, Yang L, Ye J, Wang Y, Liu Y. Monocyte subsets study in children with Mycoplasma pneumoniae pneumonia. Immunol Res 2019; 67:373–381 [View Article] [PubMed]
     [Google Scholar]
  20. Takahashi R, Shiohara T, Mizukawa Y. Monocyte-independent and -dependent regulation of regulatory T-cell development in mycoplasma infection. J Infect Dis 2021; 223:1733–1742 [View Article] [PubMed]
     [Google Scholar]
  21. Miyashita N, Nakamori Y, Ogata M, Fukuda N, Yamura A et al. Clinical differences between community-acquired Mycoplasma pneumoniae pneumonia and COVID-19 pneumonia. J Clin Med 2022; 11:964 [View Article] [PubMed]
     [Google Scholar]
  22. Guo H, Liang J, Lin H, Zhou X, Zhang Z et al. Differentiate clinical characteristics between viral pneumonia and Mycoplasma pneumoniae and nomograms for predicting Mycoplasma pneumoniae : a retrospective study in primary hospitals. Pediatr Infect Dis J 2023; 42:1035–1040 [View Article] [PubMed]
     [Google Scholar]
  23. Dähne T, Bauer W, Essig A, Schaaf B, Barten-Neiner G et al. Resurgence of common respiratory viruses in patients with community-acquired pneumonia (CAP)-a prospective multicenter study. J Clin Virol 2024; 173:105694 [View Article] [PubMed]
     [Google Scholar]
  24. Fu X, Long M-W, Ye Z-X, Li H-M, Zhang H-Y et al. Etiological characteristics of acute respiratory infections during the SARS-CoV-2 epidemic in Guizhou Province, China. J Int Med Res 2024; 52:3000605241236050 [View Article] [PubMed]
     [Google Scholar]
  25. Li Y, Yu J, Wang Y, Yi J, Guo L et al. Cocirculation and coinfection of multiple respiratory viruses during autumn and winter seasons of 2023 in Beijing, China: a retrospective study. J Med Virol 2024; 96: [View Article]
     [Google Scholar]
  26. Li D, Gu H, Chen L, Wu R, Jiang Y et al. Neutrophil-to-lymphocyte ratio as a predictor of poor outcomes of Mycoplasma pneumoniae pneumonia. Front Immunol 2023; 14:14 [View Article]
     [Google Scholar]
  27. Saraya T, Kurai D, Nakagaki K, Sasaki Y, Niwa S et al. Novel aspects on the pathogenesis of Mycoplasma pneumoniae pneumonia and therapeutic implications. Front Microbiol 2014; 5:410 [View Article] [PubMed]
     [Google Scholar]
  28. Wang G, Lv C, Liu C, Shen W. Neutrophil-to-lymphocyte ratio as a potential biomarker in predicting influenza susceptibility. Front Microbiol 2022; 13:13 [View Article]
     [Google Scholar]
  29. Yang L, Zhang Y, Shen C, Lu Z, Hou T et al. Clinical features and risk factors of plastic bronchitis caused by Mycoplasma pneumoniae pneumonia in children. BMC Pulm Med 2023; 23:468 [View Article] [PubMed]
     [Google Scholar]
  30. Ligi D, Della Franca C, Notarte KI, Goldrich N, Kavteladze D et al. Platelet distribution width (PDW) as a significant correlate of COVID-19 infection severity and mortality. Clin Chem Lab Med 2024; 62:385–395 [View Article]
     [Google Scholar]
  31. Aydınyılmaz F, Aksakal E, Pamukcu HE, Aydemir S, Doğan R et al. Significance of MPV, RDW and PDW with the severity and mortality of COVID-19 and effects of acetylsalicylic acid use. Clin Appl Thromb Hemost 2021; 27:10760296211048808 [View Article] [PubMed]
     [Google Scholar]
  32. Dobrijević D, Antić J, Rakić G, Andrijević L, Katanić J et al. Could platelet indices have diagnostic properties in children with COVID-19?. J Clin Lab Anal 2022; 36:e24749 [View Article] [PubMed]
     [Google Scholar]
  33. Wang Y, Fan Z, Wang S, Zhuang C. The diagnostic value of platelet distribution width in patients with mild COVID‐19. Clin Lab Anal 2021; 35: [View Article]
     [Google Scholar]
/content/journal/jmm/10.1099/jmm.0.001885
Loading
Routine blood parameters as auxiliary diagnostic tools for Mycoplasma pneumoniae infection in children
J. Med. Microbiol. 73, 001885 (2024); https://doi.org/10.1099/jmm.0.001885
/content/journal/jmm/10.1099/jmm.0.001885
/content/journal/jmm/10.1099/jmm.0.001885
Loading

Data & Media loading...

Most cited Most Cited RSS feed

This is a required field
Please enter a valid email address
Approval was a Success
Invalid data
An Error Occurred
Approval was partially successful, following selected items could not be processed due to error