Naslov
NEUTROPHIL CD15S IS A POTENTIALLY USEFUL BIOMARKER OF SERIOUS BACTERIAL INFECTION

Autori
Markic, Josko ; Jeroncic, Ana ; Polancec, Denis ; Bosnjak, Nada ; Markotic, Anita ; Mestrovic, Julije ; Cikes Culic, Vedrana

Vrsta, podvrsta i kategorija rada
Sažeci sa skupova, sažetak, znanstveni

Izvornik
24th Annual Meeting of the European Society of Paediatric and Neonatal Intensive Care - Abstracts CD / - Rotterdam : Boston (MA) : Taipei, 2013

Skup
ESPNIC 2013

Mjesto i datum
Rotterdam, Nizozemska, 12.06.2013. - 15.06.2013

Vrsta sudjelovanja
Poster

Vrsta recenzije
Međunarodna recenzija

Ključne riječi
Dojenče; infekcija; biomarkeri; CD15s; CD11b; CD64
(Infant; infection; biomarkers; CD15s; CD11b; CD64)

Sažetak
Background and aims: Early recognition of serious bacterial infections (SBI) is essential for better treatment outcomes. Flow cytometry analysis of neutrophil surface molecules is increasingly investigated as a tool for diagnosis. The aim of this prospective observational study was to compare the diagnostic performance of various biomarkers in detection of SBI. Methods: The infants under 6 months of age presenting with fever without apparent source to the emergency department who were hospitalized with suspicion of having SBI were enrolled, 69 into the training and 36 in the validation set. Based on the final diagnosis they were classified into SBI or viral infection group. Input measures were white blood cells count, absolute neutrophil count (ANC), C-reactive protein (CRP), procalcitonin (PCT), neutrophil CD11b, CD15s and CD64 expression level, percentage (%CD15s+ ) and the absolute count (AC-CD15s+) of CD15s+ neutrophils. Results: In the infants with SBI, %CD15s+ was 10.5 times more likely to be higher than the cut-off value. ANC, CRP, PCT, CD64, and AC-CD15s+ were also found as useful biomarkers for differentiation between bacterial and viral infection. The-best-fit multivariate logistic regression model included CRP, PCT, and %CD15s+ as significant predictors of SBI. The model's sensitivity (87%), specificity (83%), positive (5.11) and negative (0.16) likelihood ratios indicated high model's accuracy. After model's validation its accuracy maintained high: 86% sensitivity and 93% specificity, while positive and negative likelihood ratios were 12.86 and 0.15, respectively. Conclusions: The study shows evidence that the neutrophil CD15s expression is potentially a valuable biomarker for detection of SBI.

Izvorni jezik
Engleski

Znanstvena područja
Kliničke medicinske znanosti

POVEZANOST RADA