2015
DOI: 10.1001/jamaophthalmol.2014.5185
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Predictors for the Development of Referral-Warranted Retinopathy of Prematurity in the Telemedicine Approaches to Evaluating Acute-Phase Retinopathy of Prematurity (e-ROP) Study

Abstract: for the e-ROP Cooperative Group IMPORTANCE Detection of treatment-requiring retinopathy of prematurity (ROP) involves serial eye examinations. An ROP prediction model using predictive factors could identify high-risk infants and reduce required eye examinations.OBJECTIVE To determine predictive factors for the development of referral-warranted (RW) ROP. DESIGN, SETTING, AND PARTICIPANTSThis multicenter observational cohort study included secondary analysis of data from the Telemedicine Approaches to Evaluating… Show more

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Cited by 66 publications
(49 citation statements)
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References 37 publications
(64 reference statements)
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“…13;1724 These models varied as they use different predictors for different severity of ROP (RW-ROP, severe ROP, treatment requiring ROP, etc.). In contrast to previous ROP prediction models/algorithms, our prediction model and resulting risk score is unique in that we used the findings of trained readers’ evaluation of images taken at the first image session (34 PMA weeks or earlier) for predicting the future development of TR-ROP.…”
Section: Discussionmentioning
confidence: 99%
See 1 more Smart Citation
“…13;1724 These models varied as they use different predictors for different severity of ROP (RW-ROP, severe ROP, treatment requiring ROP, etc.). In contrast to previous ROP prediction models/algorithms, our prediction model and resulting risk score is unique in that we used the findings of trained readers’ evaluation of images taken at the first image session (34 PMA weeks or earlier) for predicting the future development of TR-ROP.…”
Section: Discussionmentioning
confidence: 99%
“…Our previous investigation showed that ROP morphological findings of an eye at the first eye exam performed by an ophthalmologist predicted the subsequent development of referral-warrant ROP (RW-ROP), beyond what is already predicted by the BW, GA, postnatal weight gain, and respiratory support status at exam. 13 Since ROP telemedicine is based on evaluation of retinal images, identifying earlier image characteristics for developing a risk score that predicts the subsequent development of TR-ROP (TR-ROP) will enhance its functionality and clinical utility. Such risk score could lead to improved ROP telemedicine screening and reduce the burden of diagnostic eye examinations by ROP specialists for detecting TR-ROP.…”
Section: Introductionmentioning
confidence: 99%
“…(6) eROP also determined predictors for development of referral warranted ROP after controlling for gestational age and very low birth weight as pre-Plus, retinal hemorrhage, Stage 2 or mechanical ventilation at first examination. (202)…”
Section: Change In Clinical Concepts Diagnosis and Management Imentioning
confidence: 99%
“…(192, 202)Once a diagnosis of “referral-warranted” ROP is made, however, resources and protocols for transport and treatment of infants must be in place.…”
Section: Change In Clinical Concepts Diagnosis and Management Imentioning
confidence: 99%
“…20,21 Multiple predictive models using weight gain, BW, and GA have been developed, 11,26 including the following: weight, insulinlike growth factor, and neonatal ROP (WINROP) 14,15 ; The Children’s Hospital of Philadelphia ROP (CHOP-ROP) 13 ; ROPScore 18 ; Colorado–retinopathy of prematurity model (CO-ROP) 19 ; and Telemedicine Approaches to Evaluating Acute-Phase Retinopathy of Prematurity (e-ROP). 16 These models have high sensitivity for predicting severe ROP (97%–100% in some populations), while potentially reducing the number of infants requiring examinations by 25% to 75%. 13,14,19 The CHOP-ROP model is a logistic regression–based equation that had 100% (95% CI, 84%–100%) sensitivity for predicting type 1 ROP among 524 infants meeting current screening criteria and would have reduced the number of infants receiving examinations by 49%in its retrospective development cohort.…”
mentioning
confidence: 99%