Amer J Perinatol 2017; 34(14): 1442-1446
DOI: 10.1055/s-0037-1604246
Original Article
Thieme Medical Publishers 333 Seventh Avenue, New York, NY 10001, USA.

Red Cell Distribution Width as a Predictor of Persistent Pulmonary Hypertension of the Newborn

Setareh Sagheb
Tehran University of Medical Sciences, Tehran, Iran
,
Mahdi Sepidarkish
Department of Epidemiology and Reproductive Health, Reproductive Epidemiology Research Center, Royan Institute for Reproductive Biomedicine, ACECR, Tehran, Iran
,
Sayyed Ourmazd Mohseni
Ira A. Fulton Schools of Engineering, School of Biological and Health Systems Engineering, Arizona State University, Tempe, Arizona
,
Amirhossein Movahedian
Tehran University of Medical Sciences, Tehran, Iran
,
Ziba Mosayebi
Tehran University of Medical Sciences, Tehran, Iran
› Author Affiliations
Further Information

Publication History

04 April 2017

12 June 2017

Publication Date:
13 July 2017 (eFirst)

Abstract

Objective Persistent pulmonary hypertension of the newborn (PPHN) is a critical condition with high mortality and morbidity rates in neonatal intensive care unit (NICU) admitted neonates due to severe hypoxemia. The aim of this study was to evaluate red cell distribution width (RDW) as a biomarker of hypoxemia and determine the optimal cutoff point of RDW for identifying neonates with PPHN.

Study Design All PPHN diagnosed, NICU admitted term infants with hypoxemia after birth from May 2014 to September 2016 were enrolled as case control and healthy term infants with nonhemolytic jaundice who were admitted for phototherapy on the second or third day of birth were the control group. Blood samples were collected. Multiple logistic regression modeling was used to examine the association between PPHN and RDW.

Results Receiver-operating characteristics (ROC) curve analysis was used to determine the optimal cutoff point of RDW for identifying neonates with PPHN. RDW was higher in the PPHN group compared with the control group (p < 0.001). Significant predictors of PPHN were mother's underlying disease (p = 0.01) and RDW (p < 0.001). The optimal RDW cut point for prediction of PPHN by the ROC curve analysis was 17.9 (sensitivity = 85.71%). RDW's area under the curve was 0.9197 (p < 0.001).

Conclusion RDW may be a simple, valuable, accessible marker for predicting PPHN before performing echocardiography in hypoxemic NICU admitted neonates.

Funding

None.