Purpose: To determine whether a multivariate risk model can select infants with low-risk eyes for an alternative protocol that reduces retinopathy of prematurity (ROP) screening without loss of effectiveness.
Methods: This was a retrospective, nonrandomized, comparative study. We assigned 712 eyes of 357 premature infants of 401-1,250 g birth weights as high or low risk for prethreshold or threshold ROP using a risk model with variables of birth weight, gestational age, multiple birth, race, and gender. Using simulations, infants with high-risk eyes (p > or = 0.15) were screened conventionally, while those with low-risk eyes were screened with the 35q3 protocol (initial examination at 35 weeks postmenstrual age followed by screening every 3 weeks, with increased or decreased intervals based on ROP severity). The resultant reduction in ROP screening and the delay to detection of severe ROP were calculated.
Results: The 35q3 protocol reduced the mean number of eye examinations per infant in the overall population by 13.4% (p = 0.0051). No eyes had a delay to the detection of threshold or type 1 zone 1 ROP. Of a total of 57 type 1 ROP eyes, 2 eyes with type 1 zone 2 ROP were delayed to detection by 1 week. As our study was done prior to the Early Treatment of ROP study, the 2 eyes were observed and regressed without progression to threshold ROP.
Conclusions: A risk-based alternative screening protocol increased the efficiency of ROP screening for infants of 401-1,250 g birth weight without an apparent loss of effectiveness. This investigational approach requires further validation by multicenter studies.
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http://dx.doi.org/10.1016/j.jaapos.2009.10.002 | DOI Listing |
Front Pediatr
January 2025
Clinical Laboratory, Children's Hospital Affiliated to Shandong University, Jinan, China.
Objective: This study aims to investigate the relationship between platelet count (PLT) and retinopathy of prematurity (ROP), with the goal of identifying a straightforward screening method for the early detection of ROP.
Methods: A systematic search was conducted in PubMed, EMBASE, Web of Science, Cochrane Library, and ClinicalTrials.gov from January 2005 to 26 September 2023.
BMC Ophthalmol
January 2025
Faculty of Medicine, Ophthalmology Department, Istanbul University, Istanbul, Türkiye.
Background: The aim of the study was to investigate the quantitative differences between severe stage 3 and stage 4A retinopathy of prematurity (ROP) by evaluating the pre-treatment fundus photographs.
Methods: Thirty-three eyes with clinical diagnosed as severe stage 3 were classified as severe stage 3 group. Twenty-two eyes with retinal detachment without foveal involvement were classified as stage 4A group.
Ophthalmol Sci
November 2024
Casey Eye Institute, Oregon Health and Science University, Portland, Oregon.
Purpose: Retinopathy of prematurity (ROP) stage is defined by the visual appearance of the vascular-avascular border, which reflects a spectrum of pathologic neurovascular tissue (NVT). Previous work demonstrated that the thickness of the ridge lesion, measured using OCT, corresponds to higher clinical diagnosis of stage. This study evaluates whether the volume of anomalous NVT (ANVTV), defined as abnormal tissue protruding from the regular contour of the retina, can be measured automatically using deep learning to develop quantitative OCT-based biomarkers in ROP.
View Article and Find Full Text PDFJ AAPOS
January 2025
Eye Hospital, University Medical Centre Ljubljana, Ljubljana, Slovenia; Faculty of Medicine, University of Ljubljana, Slovenia. Electronic address:
Purpose To validate the Postnatal Growth and ROP (G-ROP) study criteria for retinopathy of prematurity (ROP) screening in a Slovenian cohort. Methods We conducted a retrospective cohort study of preterm infants screened in 2021 at the University Medical Centre Ljubljana, Slovenia. The G-ROP criteria were systematically applied.
View Article and Find Full Text PDFJ Clin Med
January 2025
Neonatal Intensive Care Unit, Medicine Faculty, San Cecilio Clinical Hospital, 18016 Granada, Spain.
We sought to develop a structural equation model (SEM) identifying physical and clinical risk factors associated with treatment for retinopathy of prematurity (ROP). This retrospective, observational, case-control study included 314 infants screened for ROP between April 2004 and July 2024. A bivariate binary logistic regression model, decision tree, and structural equation model (SEM) were employed to develop a more general model for ROP requiring treatment.
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