Department of Ophthalmology, Government Medical College and Hospital, Chandigarh, India.
Department of Neonatology, Government Medical College and Hospital, Chandigarh, India.
Indian J Ophthalmol. 2021 May;69(5):1214-1218. doi: 10.4103/ijo.IJO_1521_20.
Inopathy of prematurity (WINROP) Weight, insulin-derived growth factor 1, neonatal ROP algorithm is an online tool that has been validated as a predictor of retinopathy of prematurity (ROP) in various countries. The current study was designed to evaluate the predictive ability of WINROP algorithm (http://winrop.com) using postnatal weight gain in detecting Type 1 ROP in Indian babies.
Prospective single centre observational study of 153 consecutive preterm babies who were eligible for screening for ROP as per the standard guidelines. Sixteen babies were excluded from the study because of various reasons. Thirty-five babies had gestational age ≥32 weeks and were ineligible for WINROP algorithm. Online WINROP algorithm was used for 102 babies with gestation at birth less than 32 weeks. The alarms triggered by WINROP were documented.
Laser treatment was done in 30 babies who developed Type 1 ROP. Of these, WINROP alarm was signaled in 24 babies and 6 babies developed ROP without any WINROP alarm. These babies had associated comorbidities like respiratory distress syndrome, patent ductus arteriosus, bacterial sepsis, and ventilatory support. WINROP alarm was significantly associated with Type 1 ROP (P < 0.001). The sensitivity of WINROP was 80% and specificity was 80.6% with a positive predictive value of 63.2% and negative predictive value of 90.6% in detecting Type 1 ROP. In the present study, no baby who was ineligible for WINROP developed Type 1 ROP.
WINROP provides a novel online monitoring screening tool for identifying babies at risk of developing Type 1 ROP. In our cohort, none of the babies whose period of gestation was more than or equal to 32 weeks developed sight threatening Type 1 ROP. WINROP algorithm may also be useful in Indian population.
早产儿病变（WINROP）体重、胰岛素样生长因子 1、新生儿 ROP 算法是一种在线工具，已在多个国家得到验证，可作为预测早产儿视网膜病变（ROP）的指标。本研究旨在评估 WINROP 算法（http://winrop.com）使用出生后体重增加来检测印度婴儿 1 型 ROP 的预测能力。
对 153 例符合 ROP 筛查标准的连续早产儿进行前瞻性单中心观察性研究。由于各种原因，有 16 例婴儿被排除在研究之外。35 例婴儿胎龄≥32 周，不符合 WINROP 算法的条件。对 102 例胎龄<32 周出生的婴儿使用在线 WINROP 算法。记录 WINROP 触发的警报。
30 例婴儿发展为 1 型 ROP 后进行了激光治疗。其中，24 例婴儿的 WINROP 警报发出，6 例婴儿无任何 WINROP 警报而发展为 ROP。这些婴儿伴有呼吸窘迫综合征、动脉导管未闭、细菌性败血症和通气支持等相关并发症。WINROP 警报与 1 型 ROP 显著相关（P<0.001）。WINROP 的敏感性为 80%，特异性为 80.6%，阳性预测值为 63.2%，阴性预测值为 90.6%，用于检测 1 型 ROP。在本研究中，没有不适合使用 WINROP 的婴儿发展为 1 型 ROP。
WINROP 提供了一种新颖的在线监测筛查工具，用于识别有发展为 1 型 ROP 风险的婴儿。在我们的队列中，胎龄≥32 周的婴儿无一例发生威胁视力的 1 型 ROP。WINROP 算法在印度人群中也可能有用。
