191
Views
12
CrossRef citations to date
0
Altmetric
Original Article

Predictive value of vascular endothelial growth factor in preterm neonates with intraventricular haemorrhage

, , , , , & show all
Pages 1586-1590 | Received 22 Jul 2011, Accepted 23 Nov 2011, Published online: 10 Feb 2012
 

Abstract

Objective: Intraventricular haemorrhage (IVH) is a major problem in premature infants. Our objective is to assess the early predictive value of vascular endothelial growth factor (VEGF) for development of IVH and management of its squeal in preterm neonates. Methods: We prospectively studied 150 preterm neonates (PT) less than 34 weeks gestation. Fifty of them completed the study. 30/50 developed IVH during follow up, and 20 did not. First 24 hours, and 3rd day serum samples were collected. Cerebrospinal fluid (CSF) samples were withdrawn for 10 IVH patients. Results: Serum VEGF; both samples were increased in IVH compared to non-IVH group (P = 0.001). PHVD-group (n = 10) had higher VEGF in both samples than resolved IVH (P = 0.004), (P = 0.005). While, VEGF increased in the IVH group 2nd sample compared to 1st (P = 0.000), it decreased in non-IVH group, P = 0.033). Each 1 unit increase in 1ST VEGF increased the risk of occurrence of IVH by 1.6%. 3rd day VEGF at a cut-off value of 135 pg/ml is 96% sensitive and 100% specific to predict PHVD. Serum VEGF inversely correlated with TLC, pH, PO2 and HCO3, and positively correlated with PCo2 and FiO2. Conclusion: Serum VEGF predicts development of IVH and PHVD in PT neonates. Also, high CSF level of VEGF could predict the need for permanent shunt placement.

Declaration of Interest: The authors report no declarations of interest.

Log in via your institution

Log in to Taylor & Francis Online

PDF download + Online access
  • 48 hours access to article PDF & online version
  • Article PDF can be downloaded
  • Article PDF can be printed
USD 65.00 Add to cart
* Local tax will be added as applicable

Related Research

People also read lists articles that other readers of this article have read.

Recommended articles lists articles that we recommend and is powered by our AI driven recommendation engine.

Cited by lists all citing articles based on Crossref citations.
Articles with the Crossref icon will open in a new tab.