Growth pattern and nutritional intake as predictors for retinopathy of prematurity
Abstract
Background: Retinopathy of prematurity (ROP) is a sight-threatening disease that
affects extremely preterm and very preterm infants. Approximately 5–10% of infants
screened for ROP go on to develop severe ROP that requires treatment. To
minimize unnecessary screening procedures, which can be stressful for these fragile
infants, it is important to identify new risk factors and predictors that better determine
which infants are at high risk for ROP. The objective of this study was to
investigate growth pattern (peri- and postnatal weight gain) and nutritional intake
as risk factors for severe ROP.
Methods: WINROP (Weight, insulin-like growth factor 1, neonatal, retinopathy of
prematurity) is a web-based surveillance system that aims to identify infants at high
risk of ROP based on their birth weight (BW), gestational age (GA), and postnatal
weight gain. In all cohorts that we studied, BW, GA, gender, and maximum ROP
stage and ROP treatment were retrospectively retrieved from hospital records. In
Paper I, we validated WINROP in a Swedish population-based cohort of extremely
preterm infants (born at GA <27 weeks) (n=407). This cohort, called the EXPRESS
cohort, was further evaluated in Paper IV in relation to nutritional intake and the
correlation with severe ROP. In Paper II, the association between infant weight standard
deviation scores (WSDS) at first sign of ROP and ROP requiring treatment was
evaluated in a Gothenburg cohort screened for ROP (n=147). In Paper III, the birth
weight standard deviations score (BWSDS) was calculated in 5 cohorts (n=2941)
that were previously included in WINROP studies; Paper III assessed the impact of
low birth weight as a risk factor for severe ROP.
Results: WINROP correctly identified 96% (45/47) of infants who required treatment
for ROP in an extremely preterm cohort. Low weight (p=0.001) and low
WSDS at first detection of ROP (p=0.002) were risk factors for severe ROP. Low
BWSDS (p<0.001) was a risk factor for severe ROP for all preterm infants; however,
the impact of low BWSDS increased with increasing GA. In addition, low energy
intake (p<0.01) during the first four weeks of life was associated with the development
of severe ROP (p<0.01).
Conclusions: Weight at birth and postnatal weight gain can be useful predictors for
severe ROP as can weight at first detection of ROP. In addition, low energy intake
during the first four weeks of a preterm infant’s life may be associated with later
severe ROP.
Parts of work
I. Lundgren P, Stoltz Sjöstrom E, Domellöf M, Källen K, Holmström G,
Hård AL, Smith LE, Löfqvist C, Hellström A.
WINROP identifies severe retinopathy of prematurity at an early stage
in a nation-based cohort of extremely preterm infants.
PLoS One. 2013 Sep 12;8(9):e73256 ::PMID::24069180 II. Lundgren P, Wilde Å, Löfqvist C, Smith LE, Hård AL, Hellström A.
Weight at first detection of retinopathy of prematurity predicts disease
severity.
Br J Ophthalmol. 2014 Nov;98(11):1565–9 ::PMID::24963022 III. Lundgren P, Kistner A, Andersson EM, Hansen-Pupp I, Holmström G,
Ley D, Niklasson A, Smith LE, Wu C, Hellström A, Löfqvist C.
Low birth weight is a risk factor for severe retinopathy of prematurity
depending on gestational age.
PLoS One. 2014 Oct 15;9(10):e109460 ::PMID::25330287 IV. Stoltz Sjöström E, Lundgren P, Öhlund I, Holmström G, Hellström A,
Domellöf M.
Low energy intake during the first four weeks of life increases the risk for
severe retinopathy of prematurity in extremely preterm infants.
Submitted for publication
Degree
Doctor of Philosophy (Medicine)
University
University of Gothenburg. Sahlgrenska Academy
Institution
Institute of Neuroscience and Physiology. Department of Clinical Neuroscience and Rehabilitation
Disputation
Fredagen den 23 januari 2015, kl 9.00, Sal Tallen, Drottning Silvias barn och ungdoms sjukhus, Göteborg
Date of defence
2015-01-23
pia.lundgren@gu.se
Date
2015-01-07Author
Lundgren, Pia
Keywords
Retinopathy of prematurity
Preterm infant
Birth weight
Risk factor
Nutrition
Weight gain
Publication type
Doctoral thesis
ISBN
978-91-628-9204-3 (printed)
978-91-628-9205-0 (e-pub)
Language
eng