Correlation between periventricular leukomalacia and retinopathy of prematurity

Hsiu Mei Huang, Sue Ann Lin, Ying Chao Chang, Hsi Kung Kuo*

*Corresponding author for this work

Research output: Contribution to journalJournal Article peer-review

7 Scopus citations

Abstract

Purpose. To investigate the correlation between periventricular leukomalacia (PVL) and retinopathy of prematurity (ROP), which are complications of perinatal and postnatal hypoxic-ischemic insults in premature infants. Methods. In this retrospective case series study, from 1996 to 2008, after excluding cases with followup of less than 3 months, we reviewed medical charts of babies who had gestational age (GA) less than 30 weeks or birthweight (BW) less than 2000 g. A total of 195 patients were diagnosed with ROP and/or PVL and were enrolled in this analysis. We investigated the correlation between ROP and PVL with Pearson chi-square test and evaluated BW, GA, and Apgar scores at 1 minute and 5 minutes after birth as risk factors by independent t test. Results. There were no significant differences in the prevalence of PVL between patients who received ROP treatment and those who did not receive ROP treatment. The BW was significantly lower in patients with PVL than in patients without PVL. Gestational age, BW, and Apgar scores significantly differed between patients who did and did not receive retinal treatment for ROP. Conclusions. Periventricular leukomalacia did not increase the severity of ROP or requirement of ROP treatment. Birthweight, GA, and Apgar scores were the principal factors that determined the necessity of ROP treatment.

Original languageEnglish
Pages (from-to)980-984
Number of pages5
JournalEuropean Journal of Ophthalmology
Volume22
Issue number6
DOIs
StatePublished - 11 2012

Keywords

  • Apgar scores
  • Birthweight
  • Periventricular leukomalacia
  • Retinopathy of prematurity

Fingerprint

Dive into the research topics of 'Correlation between periventricular leukomalacia and retinopathy of prematurity'. Together they form a unique fingerprint.

Cite this