More than 8000 babies born \>8 weeks early or weighing less than 1500g at birth in the United Kingdom annually are at risk of a serious eye problem - retinopathy of prematurity (ROP). Less than 1 in 10 need treating, but to identify these all of them require eye examinations 1-2 weekly from 5 weeks. These tests are uncomfortable, upsetting for families, and cost considerable time and money. There is now a new urine test that might help identify babies with the highest risk of developing significant ROP. This cheap test appears to predict which babies need treatment and could avoid invasive eye examination in thousands of babies. The test has so far only been used in 136 babies. It accurately predicted ROP, but 136 babies cannot change practice. We need to test more babies including in the UK. This study is designed to test \>300 UK babies to see how accurately urine levels of NTproBNP predict development of ROP needing treatment. We will also pool our data with other researchers across Europe testing the same test to identify the best 'cut'-off' value for this test. In the future babies with urine levels of this chemical lower than this cut-off level would not need invasive eye examinations. If this test works as we hope it will many babies will avoid repeated painful eye tests, and their families will be saved the stress of watching this being done, by replacing these with a simple easy cheap pain free urine test. There will be substantial savings in health care costs that could be used to improve other aspects of care. In resource poor settings without an expert ophthalmologist babies could be screened for ROP that currently cannot be screened. We hope to demonstrate this to be a family-friendly, achievable intervention that positively impacts on the lives of babies and families experiencing neonatal intensive care.
See protocol
Study Type
OBSERVATIONAL
Enrollment
500
Janet Berrington, Newcastle Neonatal Service
Newcastle, Tyne and Wear, United Kingdom
the ability of urinary NTproBNP (normalised to creatinine) at 14 days of age and 28 days to predict severity of ROP
Time frame: day 14 and day 28
Receiver operator characteristics curve, sensitivity, specificity, positive and negative predictive values.
Time frame: day 14 and day 28
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