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Understanding the Difficulties in Diagnosing Neonatal Sepsis: Assessing the Role of Sepsis Biomarkers Cover

Understanding the Difficulties in Diagnosing Neonatal Sepsis: Assessing the Role of Sepsis Biomarkers

Open Access
|Oct 2024

Figures & Tables

Fig. 1.

Comparative Diagnostic Performance of Biomarkers and laboratory findings in Participant Groups: Specificity and Sensitivity Analysis through ROC Curve Evaluations; A – ROC curve for C-reactive protein; B – ROC curve for procalcitonin; C – ROC curve for leukocytes; D – ROC curve for platelets; E – ROC curve for neutrophils; F – ROC curve for LDH; G – ROC curve for ferritin.

Fig. 2.

Comparative analysis of biomarker profiles in EOS and LOS groups at different time points (24 and 72 hours after onset); A – Boxplot for C-reactive protein; B – Boxplot for procalcitonin; C – Boxplot for leukocytes; D – Boxplot for platelets; E – Boxplot for neutrophils; F – Boxplot for LDH; G – Boxplot for ferritin.

Comparing the second values (at 24 hours after onset) using the two-sample Wilcoxon signed rank test_ Presented are the p-values_

VariablesEOS vs Control (p-value)LOS vs Control (p-value)EOS vs LOS (p-value)
CRP0.00150.0000050.00001
Procalcitonin0.000050.000010.741
Leukocyte0.46550.2540.926
Neutrophils0.000010.0000010.668
Platelets0.00760.00080.956
LDH0.00090.00060.130
Ferritin0.000010.0000010.063

Comparing the first and last measured values for continuous variables using the two-sample Wilcoxon signed rank test_ Presented are the p-values_

VariablesEOS (p-value)LOS (p-value)Control (p-value)
CRP0.7870.7980.029
Procalcitonin0.0810.9340.739
Leukocyte0.7400.2140.002
Neutrophils0.2450.9420.144
Platelets0.3420.3640.00001
LDH0.0060.000010.061
Ferritin0.00020.00380.529

Descriptive statistics for patients with confirmed culture results_

VariablesEOSLOSOverall
Negative blood culture17 (48.57%)4 (10.25%)21
Positive blood culture18 (51.43%)35 (89.75%)53

Microorganism for BC+ (positive blood culture)
Klebsiella spp8 (44.4%)15 (42.85%)23
Escherichia coli5 (27.78%)4 (11.42%)9
Staphyloccocus aureus2 (11.12%)2 (5.71%)4
Enterobacter1 (5.55%)2 (5.71%)3
Serratia marcescens2 (11.12%)6 (17.14%)8
Enterococcus0 (0%)3 (8.57%)3
Pseudomonas aeruginosa0 (0%)2 (5.71%)2
Others0 (0%)1 (2.85%)1

Descriptive statistics

VariablesEOSLOSControlOverall
n=35 (28.92%)39 (32.23%)47 (38.84%)121

Delivery mode:
Vaginal17 (24.6%)13 (18.8%)39 (56.5%)69
Cesarian section18 (35.3%)25 (49.0%)8 (15.7%)51

GA
24–28 weeks4 (44.4%)4 (44.4%)1 (11.1%)9
29–32 weeks8 (30.7%)6 (23.1%)12 (46.2%)26
33–37 weeks21 (33.8%)19 (30.7%)22 (35.5%)62
>38 weeks2 (8.3%)10 (41.7%)12 (50.0%)24
Onset of sepsis118.3 (14.0) hours13.0 (7.1) days

Relationship among the categorical variables_ The association between surgical intervention and the necessity of oxygen supplementation for LOS patients_

VariableSurgical interventions in LOS group (n=)p-value
NoYes
Oxygen therapyNo621
Yes229

High flow nasal canulaNo21100.397
Yes71

nCPAPNo2790.189
Yes12

nIPPV/nCPAPNo27111
Yes10

SIMVNo1930.0344
Yes98
DOI: https://doi.org/10.2478/jccm-2024-0039 | Journal eISSN: 2393-1817 | Journal ISSN: 2393-1809
Language: English
Page range: 316 - 328
Submitted on: Jul 1, 2024
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Accepted on: Sep 10, 2024
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Published on: Oct 31, 2024
In partnership with: Paradigm Publishing Services
Publication frequency: 4 issues per year

© 2024 Nicoleta Lungu, Ana-Maria-Cristina Jura, Daniela-Eugenia Popescu, Florin George Horhat, Aniko Maria Manea, Marioara Boia, published by University of Medicine, Pharmacy, Science and Technology of Targu Mures
This work is licensed under the Creative Commons Attribution 4.0 License.