4.5 Article

Early predictors of small-for-gestational-age neonates using non-invasive, low-cost, and readily available hematological markers

Journal

INTERNATIONAL JOURNAL OF GYNECOLOGY & OBSTETRICS
Volume 150, Issue 3, Pages 340-345

Publisher

WILEY
DOI: 10.1002/ijgo.13230

Keywords

Adverse perinatal outcomes; First trimester screening; Hematological markers; Hematological predictors; Intrauterine growth restriction; Neutrophil-to-lymphocyte ratio; Placental insufficiency; Placentation; Small for gestational age

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Objective To evaluate whether neutrophil-to-lymphocyte ratio (NLR), a well-established inflammatory marker, can be used as an early predictor for small-for-gestational-age (SGA) neonates and other adverse pregnancy outcomes. Methods A case-control study compared first-trimester hematological biomarkers in pregnancies of patients with and without SGA (n=149, n=151, respectively). Demographic, clinical, and obstetrical characteristics and first-trimester complete blood count were retrieved. Woman with singleton pregnancies who delivered at Soroka University Medical Center between January 2015 and December 2016 were included. Patients with known maternal infections, relevant medications, hematological conditions, and chronic diseases that may alter the blood count, those with multiple pregnancies, and those with congenital or chromosomal abnormalities were excluded. After univariate analysis, a linear regression model was constructed to assess the association between hematological indices and SGA. Receiver operating curves were constructed to evaluate the sensitivity and specificity of NLR. Results First-trimester NLR values of the SGA group were significantly higher compared to controls (3.03 +/- 1.68 vs 2.63 +/- 1.2,P=0.016). Significantly higher levels of NLR were noted among the severely (<3%) SGA neonates (3.12 +/- 1.62 vs 2.62 +/- 1.2;P=0.034). Conclusion NLR may be an early, clinically useful marker in the prediction of SGA. As blood samples are routinely collected, correct implication of this result may serve as a valuable non-invasive, low-cost, readily available predicting tool.

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