TY - JOUR
T1 - Colorado retinopathy of prematurity model
T2 - A multi-institutional validation study
AU - Cao, Jennifer H.
AU - Wagner, Brandie D.
AU - Cerda, Ashlee
AU - McCourt, Emily A.
AU - Palestine, Alan
AU - Enzenauer, Robert W.
AU - Braverman, Rebecca S.
AU - Wong, Ryan K.
AU - Tsui, Irena
AU - Gore, Charlotte
AU - Robbins, Shira L.
AU - Puente, Michael A.
AU - Kauffman, Levi
AU - Kong, Lingkun
AU - Morrison, David G.
AU - Lynch, Anne M.
N1 - Funding Information:
This work was supported in part by an unrestricted grant from Research to Prevent Blindness (New York, NY). None of the authors have any additional financial conflicts of interest. Major Article
Publisher Copyright:
© 2016 American Association for Pediatric Ophthalmology and Strabismus.
PY - 2016/6/1
Y1 - 2016/6/1
N2 - Purpose The Colorado retinopathy of prematurity (ROP) prediction model (CO-ROP), developed using a cohort of infants from Colorado, calls for ROP examination of infants meeting all of the following criteria: gestational age of ≤30 weeks, birth weight of ≤1500 g, and a net weight gain of ≤650 g between birth and 4 weeks of age. The purpose of this study was to perform an external validation to assess the sensitivity and specificity of the CO-ROP model in a larger cohort of babies screened for ROP from four academic institutions in the United States. Methods The medical records of neonates screened for ROP according current national guidelines was conducted at 4 US academic centers were retrospectively reviewed. Sensitivity, specificity, and respective 95% confidence intervals in detecting ROP using CO-ROP were calculated for type 1, type 2, and any grade of ROP. Results A total of 858 cases were included. The CO-ROP algorithm had a sensitivity of 98.1% (95% CI, 93.3%-99.8%) for type 1 ROP, 95.6% (95% CI 78.0-99.9%) for type 2 ROP, and 95.0% (95% CI, 93.1-97.4%) for all grades of ROP. The CO-ROP model would have reduced the total number of infants screened by 23.9% compared to current 2013 screening guidelines. Conclusions CO-ROP demonstrated high sensitivity in predicting ROP and would have greatly reduced the number of infants needing examination.
AB - Purpose The Colorado retinopathy of prematurity (ROP) prediction model (CO-ROP), developed using a cohort of infants from Colorado, calls for ROP examination of infants meeting all of the following criteria: gestational age of ≤30 weeks, birth weight of ≤1500 g, and a net weight gain of ≤650 g between birth and 4 weeks of age. The purpose of this study was to perform an external validation to assess the sensitivity and specificity of the CO-ROP model in a larger cohort of babies screened for ROP from four academic institutions in the United States. Methods The medical records of neonates screened for ROP according current national guidelines was conducted at 4 US academic centers were retrospectively reviewed. Sensitivity, specificity, and respective 95% confidence intervals in detecting ROP using CO-ROP were calculated for type 1, type 2, and any grade of ROP. Results A total of 858 cases were included. The CO-ROP algorithm had a sensitivity of 98.1% (95% CI, 93.3%-99.8%) for type 1 ROP, 95.6% (95% CI 78.0-99.9%) for type 2 ROP, and 95.0% (95% CI, 93.1-97.4%) for all grades of ROP. The CO-ROP model would have reduced the total number of infants screened by 23.9% compared to current 2013 screening guidelines. Conclusions CO-ROP demonstrated high sensitivity in predicting ROP and would have greatly reduced the number of infants needing examination.
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U2 - 10.1016/j.jaapos.2016.01.017
DO - 10.1016/j.jaapos.2016.01.017
M3 - Article
C2 - 27166790
AN - SCOPUS:84975461680
SN - 1091-8531
VL - 20
SP - 220
EP - 225
JO - Journal of AAPOS
JF - Journal of AAPOS
IS - 3
ER -