Using ROPScore and CHOP ROP for early prediction of retinopathy of prematurity in a Chinese population

Abstract

Purpose Retinopathy of prematurity (ROP) is a disease that causes vision loss, vision impairment, and blindness, most frequently manifesting among preterm infants. ROPScore and CHOP ROP (Children’s Hospital of Philadelphia ROP) are similar scoring models to predict ROP using risk factors such as postnatal weight gain, birth weight (BW), and gestation age (GA). The purpose of this study was to compare the accuracy and difference between using ROPScore and CHOP ROP for the early prediction of ROP. Methods A retrospective study was conducted from January 2009 to December 2019 in China. Patients eligible for enrollment included infants admitted to NICU at ≤32 weeks GA or those with ≤1500 g BW. The sensitivity and specificity of ROPScore and CHOP ROP were analyzed, as well as its suitability as an independent predictor of ROP. Results Severe ROP was found in 5.0% of preterm infants. The sensitivity and specificity of the ROPScore test at any stage of ROP was 55.8 and 77.8%, respectively. For severe ROP, the sensitivity and specificity was 50 and 87.0%, respectively. The area under the receiver operating characteristic curve for the ROPScore for predicting severe ROP was 0.76. This value was significantly higher than the values for birth weight (0.60), gestational age (0.73), and duration of ventilation (0.63), when each was category measured separately. For the CHOP ROP, it correctly predicted infants who developed type 1 ROP (sensitivity, 100%, specificity, 21.4%). Conclusions The CHOP ROP model predicted infants who developed type 1 ROP at a sensitivity of 100% whereas ROPScore had a sensitivity of 55.8%. Therefore, the CHOP ROP model is more suitable for Chinese populations than the ROPScore test. Clinical registration number and STROBE guidelines This article was a retrospective cohort study and reported the results of the ROPScore and CHOP ROP algorithms. No results pertaining to interventions on human participants were reported. Thus, registration was not required and this study followed STROBE guidelines.

The Use of Postnatal Weight Gain Algorithms to Predict Severe or Type 1 Retinopathy of Prematurity

“…The full text was read for eligibility, of which 61 were included in the final analysis. The 61 studies (>37 000 infants) included WINROP (n = 36), 6 , 22 , 23 , 24 , 25 , 26 , 27 , 28 , 29 , 30 , 31 , 32 , 33 , 34 , 35 , 36 , 37 , 38 , 39 , 40 , 41 , 42 , 43 , 44 , 45 , 46 , 47 , 48 , 49 , 50 , 51 , 52 , 53 , 54 , 55 G-ROP (n = 9), 7 , 42 , 56 , 57 , 58 , 59 , 60 , 61 PINT ROP (n = 1), 8 CHOP ROP (n = 6), 9 , 30 , 55 , 62 , 63 , 64 ROPScore (n = 5), 10 , 30 , 55 , 65 , 66 and CO-ROP (n = 4). 11 , 67 , 68 , …”

“… 11 , 67 , 68 , 69 Studies that used a different cutoff score for ROPScore were not included in the analysis. 64 , 70 …”

“…The full text was read for eligibility, of which 61 were included in the final analysis. The 61 studies (>37 000 infants) included WINROP (n = 36), G-ROP (n = 9), PINT ROP (n = 1), CHOP ROP (n = 6), ROPScore (n = 5), and CO-ROP (n = 4) . Studies that used a different cutoff score for ROPScore were not included in the analysis …”

“…11,[67][68][69] Studies that used a different cutoff score for ROPScore were not included in the analysis. 64,70 The general characteristics of the studies included in the systematic review are reported in eTables 1 to 6 in the Supplement. The methodological quality and applicability of the included studies were assessed according to the QUADAS-2 guidelines.…”

A risk scoring model to predict progression of retinopathy of prematurity for Indonesia

“…Nevertheless, in contrast to studies from Brazil (2012), Spain (2020), and China (2021) that only emphasize the duration of oxygen use with mechanical ventilation [6,21,22], in our study, we added the variable 'low setting saturation monitor' which is most meaningful in terms of ROP progression. We did not find that weight gain was a predictive factor.…”