Differential approach to the diagnosis of early-onset neonatal sepsis in preterm infants
DOI:
https://doi.org/10.22141/2224-0551.14.7.2019.184621Keywords:
early-onset neonatal sepsis, TREM-1, preterm infantsAbstract
Background. Early-onset neonatal sepsis remains the leading cause of morbidity and mortality in premature babies. The problem of timely diagnosis necessitates the introduction of new effective biomarkers for monitoring sepsis in newborns. Objective: improving the diagnosis of early-onset neonatal sepsis in premature babies by determining the diagnostic significance of the serum level of soluble triggering receptor expressed on myeloid cells-1 (sTREM-1), developing a comprehensive algorithm and evaluating the effectiveness of the approach. Materials and methods. An analysis of clinical and laboratory observations of 70 premature infants with early neonatal sepsis (n = 22) and intrauterine pneumonia (n = 48) was carried out with determination of serum sTREM-1 content. Results. In infants with early-onset neonatal sepsis, a significant decrease in sTREM-1 level was revealed compared to infants with intrauterine pneumonia (97.1 ± 4.5 pg/ml versus 134.00 ± 7.73 pg/ml). Using the heterogeneous sequential Wald-Genkin procedure, the established rank structures of diagnostic indicators were established and an effective multimarker diagnostic model was developed. Conclusions. It was found that the content of sTREM-1 in the blood serum of children at risk of intrauterine infection < 148 pg/ml on the first day of life was significantly associated with neonatal sepsis. Using the developed multimarker algorithm helps improve the diagnosis of early-onset neonatal sepsis.
Downloads
References
World Health Organization (WHO). Sepsis. Available from: https://www.who.int/news-room/fact-sheets/detail/sepsis. Accessed: April 19, 2018.
Center for Medical Statistics of the Ministry of Health of Ukraine. Statistics. Available from: http://medstat.gov.ua/ukr/statdan.html.
Gubler EV. Vychislitel'nye metody analiza i raspoznavaniia patologicheskikh protsessov [Computational methods for the analysis and recognition of pathological processes]. SPb: Meditsina; 1978. 296 p. (in Russian).
Downloads
Published
How to Cite
Issue
Section
License
Copyright (c) 2019 T.M. Klymenko, K.O. Kosenko
This work is licensed under a Creative Commons Attribution 4.0 International License.