Cord Blood Hemato-Metabolic Indices and Placental Histopathology as Predictors of Early Neonatal Morbidity: An Integrative Diagnostic Model.

Abstract

Background: Neonatal morbidity reflects a multifactorial interplay between fetal physiology, placental pathology, and the intrauterine inflammatory milieu. While neutrophil-based indices have been extensively studied, alternative hematological and metabolic cord-blood markers such as red cell distribution width (RDW), mean platelet volume (MPV), plateletcrit (PCT), lactate, ferritin, and uric acid may offer additional, clinically feasible insights. When combined with placental histopathology, these parameters may improve prediction of adverse neonatal outcomes.

Objectives: To evaluate the association between cord blood hemato-metabolic indices (RDW, MPV, PCT, lactate, ferritin, uric acid), placental histopathological lesions, and early neonatal morbidity, and to develop an integrated predictive model.

Methods: In this prospective observational study, 150 mother–infant dyads were enrolled at a tertiary care centre. Cord blood samples were analyzed for RDW, MPV, PCT, lactate, ferritin, and uric acid using standard laboratory methods. Placentas were examined according to Amsterdam Placental Workshop Group criteria, categorizing lesions into maternal vascular malperfusion (MVM), fetal vascular malperfusion (FVM), and inflammatory lesions including chorioamnionitis and funisitis. Neonatal outcomes assessed included respiratory distress, early-onset sepsis, NICU admission, low Apgar scores, and need for resuscitation. Associations were evaluated using chi-square tests, t-tests, and multivariable logistic regression.

Results: Significant elevations in cord blood RDW, lactate, and ferritin were observed in neonates with placental inflammatory lesions (p < 0.05). MPV and PCT values were markedly altered in cases with FVM and MVM. Elevated lactate (>5 mmol/L) independently predicted need for resuscitation (adjusted OR 3.2), while high ferritin levels were strongly associated with early-onset sepsis (OR 2.9). Uric acid levels showed a significant relationship with low Apgar scores and NICU admission (p < 0.01). The integrated model combining cord blood parameters with placental histopathology demonstrated superior predictive accuracy for neonatal morbidity (AUC 0.85), compared with either biomarker panel or placental lesions alone.

Conclusion: Cord blood hemato-metabolic indices—RDW, MPV, PCT, lactate, ferritin, and uric acid—are valuable predictors of neonatal morbidity, particularly when interpreted alongside placental histopathology. These markers are simple, inexpensive, widely available, and suitable for routine laboratory use. The combined cord blood–placenta model offers a robust and clinically practical approach for early risk stratification in neonatal care.