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Invest Ophthalmol Vis Sci. 2019 Jan 2;60(1):98-106. doi: 10.1167/iovs.18-24776.

The Association Between Retinopathy of Prematurity and Ocular Growth.

Author information

1
Department of Ophthalmology, Medical School, University of Thessaly, Larissa, Greece.
2
Neonatal Intensive Care Unit, University Hospital of Larissa, Larissa, Greece.
3
Department of Mathematics, Aristotle University, Thessaloniki, Greece.

Abstract

Purpose:

The purpose of this study was to prospectively investigate the association between retinopathy of prematurity (ROP) and ocular growth in premature infants during the earliest weeks of life.

Methods:

Premature infants in the national ROP screening program were recruited and examined at 1- or 2-week intervals between 30 and 38 weeks of postmenstrual age. One hundred infants with gestational age (GA) between 24 and 35 weeks (30.04 + 2.13), and birth weight (BW) between 550 and 2060 g (1251.45 + 317.19) were included in the study. At each examination, the presence, stage, and zone of ROP were recorded along with axial length (AL), central corneal thickness (CCT), and weight gain. Biometric parameters were measured by A-scan biometry. Study variables included GA, BW, AL, CCT, weight gain, relative weight (RW), and dif_AL, dif_CCT, and dif_weight, which are the differences between two consecutive recordings of the same infant. Multiple regression analysis models were used to determine the association between the study variables and ROP.

Results:

dif_AL, dif_CCT, and RW were the most appropriate variables to detect the optimal threshold points that discriminate ROP: weekly increase of AL < 0.095 mm, weekly reduction of CCT < 0.5 μm, or weekly weight gain < 7% is associated with ROP development.

Conclusions:

ROP is associated with delayed ocular development, as eyes of premature infants with ROP have shorter axial lengths and thicker corneas than eyes of premature infants without ROP. The association of AL, CCT, and weight gain with ROP could be of value for future development of predictive models for ROP.

PMID:
30640977
DOI:
10.1167/iovs.18-24776

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