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Plus Disease in Telemedicine Approaches to Evaluating Acute-Phase ROP (e-ROP) Study: Characteristics, Predictors, and
Qianqian Ellie Cheng1, Ebenezer Daniel2, Wei Pan2
1School of Arts and Sciences, University of Pennsylvania, Philadelphia, Pennsylvania.
Insights
Plus disease, a severe form of retinopathy of prematurity, affects 10% of premature infants. Key predictors include gestational age, race, respiratory support, and weight gain, with image grading showing high accuracy.
Area of Science:
- Ophthalmology
- Neonatology
- Medical Imaging
Background:
- Retinopathy of prematurity (ROP) is a leading cause of visual impairment in premature infants.
- Plus disease, characterized by abnormal blood vessels, is a critical indicator of severe ROP requiring treatment.
Purpose of the Study:
- To characterize plus disease in premature infants within the Electronic Retinopathy of Prematurity (e-ROP) Study.
- To identify predictors of plus disease development.
- To evaluate the accuracy of digital image grading for detecting plus disease.
Main Methods:
- Analysis of data from 13 North American centers, including premature infants with birth weight <1251 g.
- Regular ophthalmologic examinations and wide-field digital imaging.
- Independent image grading by masked readers, with clinical examination as the reference standard.
Main Results:
- 10% of 1239 infants developed plus disease, primarily in the superior or inferior temporal quadrants.
- Significant predictors included gestational age, race, respiratory support, weight gain, and specific ROP image findings (preplus/plus disease, stage 3 ROP, blot hemorrhage).
- Image grading achieved 94% sensitivity and 81% specificity for detecting plus disease.
Conclusions:
- Plus disease affects 10% of infants in the e-ROP cohort, with identifiable predictors.
- Gestational age, race, respiratory support, weight gain, and specific ROP features are crucial predictors.
- Nonphysician grading of digital images is a sensitive and specific method for detecting plus disease.
Purpose:
To describe characteristics and predictors of plus disease, and the accuracy of image grading for plus disease in the e-ROP Study.
Design:
Secondary analyses of data from 13 North American centers.
Participants:
Premature infants with birth weight (BW) <1251 g.
Methods:
Infants underwent regularly scheduled diagnostic examinations by ophthalmologists and digital imaging by trained imagers using a wide-field digital camera. Two masked nonphysician trained readers independently evaluated images for posterior pole abnormality (normal, preplus, plus), with discrepancies adjudicated by a reading supervisor. Logistic regression models were used to determine predictors for plus disease. The sensitivity and specificity of image grading for plus disease were calculated using the clinical examination finding as reference standard.
Main Outcome Measures:
Odds ratios (OR), sensitivity, and specificity.
Results:
Among 1239 infants (mean BW 864 g, mean gestational age [GA] 27 weeks), 129 infants (10%) (226 eyes, 75% bilateral) had plus disease from clinical examination. When plus disease was first diagnosed in clinical examination at median postmenstrual age (PMA) of 36 weeks (range: 32-43 weeks), 94% to 96% of plus occurred in the superior or inferior temporal quadrant. Significant predictors for plus disease from multivariate analysis were as follows: GA (OR = 3.2 for ≤24 vs. ≥28 weeks, P = 0.004), race (OR = 2.4 for white vs. black, P = 0.01), respiratory support (OR = 7.1, P = 0.006), weight gain (OR = 1.5 for weight gain ≤12 vs. >18 g/day, P = 0.03), and image findings at the first image session, including presence of preplus/plus disease (OR = 2.7, P = 0.003), ROP stage (OR = 4.2 for stage 3 ROP vs. no ROP, P = 0.006), and blot hemorrhage (OR = 3.1, P = 0.003). These features predicted plus disease with an area under the receiver operating characteristic curve of 0.89 (95% confidence interval [CI]: 0.85-0.92). The image grading using preplus as the cut point had sensitivity of 94% (95% CI: 90%-97%) and specificity of 81% (95% CI: 79%-82%) for detecting plus disease in an eye.
Conclusions:
Among e-ROP infants, plus disease developed in 10% of infants at a median PMA of 37 weeks, with the majority being bilateral and mostly in the superior or inferior temporal quadrant. GA, race, respiratory support, postnatal weight gain, image findings of the posterior pole, and ROP predict development of plus disease. Nonphysician image grading can detect almost all plus disease with good specificity.
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