2022
DOI: 10.1136/bjophthalmol-2021-320738
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Validation of DIGIROP models and decision support tool for prediction of treatment for retinopathy of prematurity on a contemporary Swedish cohort

Abstract: Background/AimsRetinopathy of prematurity (ROP) is currently diagnosed through repeated eye examinations to find the low percentage of infants that fulfil treatment criteria to reduce vision loss. A prediction model for severe ROP requiring treatment that might sensitively and specifically identify infants that develop severe ROP, DIGIROP-Birth, was developed using birth characteristics. DIGIROP-Screen additionally incorporates first signs of ROP in different models over time. The aim was to validate DIGIROP-B… Show more

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Cited by 5 publications
(6 citation statements)
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References 35 publications
(21 reference statements)
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“…50 The new algorithm seems to have a good potential, as it has been validated both internally and externally and its accuracy is comparable to that of previous prediction models. 51 Due to geographical variations in socio-economic development, screening inclusion criteria vary by region, as there are no unanimous guidelines for ROP. 52 At the last update, the American Academy of Ophthalmology (AAO) recommended the inclusion in the screening of all premature babies with a gestational age <30 weeks or a birth weight <1500 grams.…”
Section: Future Directions On Rop Screeningmentioning
confidence: 99%
“…50 The new algorithm seems to have a good potential, as it has been validated both internally and externally and its accuracy is comparable to that of previous prediction models. 51 Due to geographical variations in socio-economic development, screening inclusion criteria vary by region, as there are no unanimous guidelines for ROP. 52 At the last update, the American Academy of Ophthalmology (AAO) recommended the inclusion in the screening of all premature babies with a gestational age <30 weeks or a birth weight <1500 grams.…”
Section: Future Directions On Rop Screeningmentioning
confidence: 99%
“…The DIGIROP birth model showed specificity of approximately 50% and the DIGIROP screen model up to approximately 80% during screening. In a contemporary Swedish cohort, approximately 50% specificity at birth was maintained, but 4 infants with severe comorbidities of 57 with ROP treatment were identified as not needing ROP screening . Inclusion of a clinical variable representing infants’ comorbidity was warranted.…”
Section: Introductionmentioning
confidence: 99%
“…The Postnatal Growth and ROP (G-ROP) model, developed on approximately 7500 infants from the US and Canada, includes GA, BW, hydrocephalus, and weight gain for days 10 to 19, 20 to 29, and 30 to 39. 13,14 Further, we developed and validated 2 prediction models for ROP treatment based on approximately 7000 Swedish infants born at 24 to 30 weeks' GA. [15][16][17][18][19] The Digital ROP (DIGIROP) birth model includes GA, sex, and standardized BW. Additionally, the timing for the first ROP diagnosis is included in DIGIROP screen model.…”
mentioning
confidence: 99%
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“…Later, WINROP was found to function well using only weight gain, omitting IGF-1 blood sampling ( Hellstrom et al, 2009 ). As even accurate weight gain may be difficult to measure routinely in preterm infants, recently, DIGIROP using GA at birth, sex, standardized birth weight and age at the first sign of ROP was developed to predict the risk for severe ROP and shows high predicative ability in a contemporary Swedish cohort without using either IGF-1 or weight gain ( Pivodic et al, 2022 ).…”
Section: Introductionmentioning
confidence: 99%