Early diagnosis of necrotizing enterocolitis by plasma RELMβ and thrombocytopenia in preterm infants: A pilot study.

BACKGROUND

As the inflammatory regulators, Resistin-like molecule β (RELMβ) and Resistin might be potential biomarkers of necrotizing enterocolitis (NEC), while thrombocytopenia is often related to the severity of NEC, clinical observation suggests that thrombocytopenia might be an early biomarker of NEC. The aim of this study was to evaluate whether RELMβ, Resistin and thrombocytopenia could be biomarkers for early diagnosis of NEC in preterm infants.

METHODS

From January 2016 to March 2018, twenty-nine NEC preterm infants who were diagnosed with NEC (Bell's stage ≥Ⅱ) by two independent neonatologists and twenty-nine non NEC preterm infants at neonatal intensive care unit in our hospital were enrolled in this case-control study. Preterm infants with a history of serious infections (sepsis, pneumonia), asphyxia, and congenital malformations were excluded from the study. The plasma RELMβ and Resistin were evaluated by enzyme linked immunosorbent assay (ELISA) and serum platelet levels were measured directly by ordinary light microscope at the diagnosis of NEC (Bell's stage ≥Ⅱ).

RESULTS

Plasma RELMβ levels in NEC group were significantly higher than control group (P < 0.05). The optimal cut-off value of RELMβ determined by receiver operating characteristic curve (ROC) was 378.3 ng/L. The overall estimates for sensitivity and specificity of high RELMβ concentrations in the detection of neonatal NEC were 71.4% and 91.7%, respectively. No significant difference was found in plasma Resistin levels between two groups (P > 0.05). If platelet level was less than 157 × 10/L, the sensitivity and specificity were 69.34% and 82.87%, respectively. Interestingly, the combination of RELMβ and thrombocytopenia increased sensitivity and specificity to 82.89% and 93.21%, respectively.

CONCLUSION

The combination of RELMβ and thrombocytopenia was a reliable biomarker for the early diagnosis of NEC in this study with 82.89% sensitivity and 93.21% specificity, respectively.