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Early weight gain predicts retinopathy in preterm infants: new, simple, efficient approach to screening

Journal article
Authors Ann Hellström
Anna-Lena Hård
Eva Engström
Aimon Niklasson
Eva M. Andersson
L. Smith
Chatarina Löfqvist
Published in Pediatrics
Volume 123
Issue 4
Pages 638-645
ISSN 1098-4275
Publication year 2009
Published at Institute of Medicine, School of Public Health and Community Medicine
Institute of Neuroscience and Physiology, Department of Clinical Neuroscience and Rehabilitation
Institute of Clinical Sciences
Pages 638-645
Language en
Subject categories Medical and Health Sciences


BACKGROUND: The risk for sight-threatening retinopathy of prematurity is predicted by using gestational age and/or weight at birth. All infants below a threshold undergo serial ophthalmologic examinations for identification of those who would benefit from treatment (approximately 10%). We hypothesized that factoring in postnatal weight gain could identify children at risk for sight-threatening retinopathy of prematurity more specifically and earlier. METHODS: Weekly weights from birth to postmenstrual week 36 were retrospectively entered into a surveillance system that gave an alarm when the rate of weight gain decreased to a certain level. For all children (N = 354) screened and/or treated for retinopathy of prematurity at Sahlgrenska University Hospital in 2004-2007, weekly weights were recorded. One child was excluded because of known nonphysiologic weight gain (hydrocephalus). RESULTS: For 127 (36%) of 353 children, no alarm was given; for 40%, alarm at low risk was given after postmenstrual week 32. None of those children developed retinopathy of prematurity requiring treatment. Of the remaining 24% of children who received alarm at high or low risk before 32 postmenstrual weeks, 41% developed proliferative retinopathy of prematurity and 29% were treated because of sight-threatening disease. The median time from alarm to treatment was 9 weeks. CONCLUSIONS: The weight, insulin-like growth factor, neonatal retinopathy of prematurity algorithm detected early 100% of infants who developed retinopathy of prematurity requiring treatment and correctly predicted the majority who did not require treatment. With this simple postnatal evaluation, costly stressful eye examinations can be markedly reduced (approximately 75% of infants). In addition, early identification of children at risk may lead to the initiation of interventions and possibly prevent sight-threatening retinopathy of prematurity.

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