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| Authors |
Ann Hellström Anna-Lena Hård |
|---|---|
| Published in | Early Human Development |
| Volume | 138 |
| ISSN | 0378-3782 |
| Publication year | 2019 |
| Published at |
Institute of Neuroscience and Physiology |
| Language | en |
| Links |
https://doi.org/10.1016/j.earlhumde... |
| Keywords | Prediction, Prevention, Retinopathy of prematurity |
| Subject categories | Ophthalmology |
© 2019 Elsevier B.V. With current screening for sight threatening retinopathy of prematurity (ROP) <10% of screened infants need treatment. Prediction models based on birth characteristics, postnatal weight gain and other factors have been developed to reduce examinations in low-risk infants. A model based on advanced statistics using data from >7000 infants registered in the Swedish ROP registry is being developed. Based on birth characteristics only, it appears to predict total risk of ROP-treatment as well as models including weight measurements. Treatment risk peaked at 12 weeks of age. Laser therapy is the method of choice for severe ROP. Anti-VEGF therapies are implemented worldwide despite insufficient knowledge of choice of drug, dosage and long term systemic effects. Prevention of ROP may be achieved through oxygen control and provision of the mother's breastmilk. Other interventions such as supplementation with long chain polyunsaturated fatty acids and preservation of fetal haemoglobin are investigated.
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