McCourt Emily A, Ying Gui-Shuang, Lynch Anne M, Palestine Alan G, Wagner Brandie D, Wymore Erica, Tomlinson Lauren A, Binenbaum Gil
Department of Ophthalmology, University of Colorado School of Medicine, Aurora.
Scheie Eye Institute, Perelman School of Medicine at the University of Pennsylvania, Philadelphia.
JAMA Ophthalmol. 2018 Apr 1;136(4):409-416. doi: 10.1001/jamaophthalmol.2018.0376.
The Colorado Retinopathy of Prematurity (CO-ROP) model uses birth weight, gestational age, and weight gain at the first month of life (WG-28) to predict risk of severe retinopathy of prematurity (ROP). In previous validation studies, the model performed very well, predicting virtually all cases of severe ROP and potentially reducing the number of infants who need ROP examinations, warranting validation in a larger, more diverse population.
To validate the performance of the CO-ROP model in a large multicenter cohort.
DESIGN, SETTING, PARTICIPANTS: This study is a secondary analysis of data from the Postnatal Growth and Retinopathy of Prematurity (G-ROP) Study, a retrospective multicenter cohort study conducted in 29 hospitals in the United States and Canada between January 2006 and June 2012 of 6351 premature infants who received ROP examinations.
Sensitivity and specificity for severe (early treatment of ROP [ETROP] type 1 or 2) ROP, and reduction in infants receiving examinations. The CO-ROP model was applied to the infants in the G-ROP data set with all 3 data points (infants would have received examinations if they met all 3 criteria: birth weight, <1501 g; gestational age, <30 weeks; and WG-28, <650 g). Infants missing WG-28 information were included in a secondary analysis in which WG-28 was considered fewer than 650 g.
Of 7438 infants in the G-ROP study, 3575 (48.1%) were girls, and maternal race/ethnicity was 2310 (31.1%) African American, 3615 (48.6%) white, 233 (3.1%) Asian, 40 (0.52%) American Indian/Alaskan Native, and 93 (1.3%) Pacific Islander. In the study cohort, 747 infants (11.8%) had type 1 or 2 ROP, 2068 (32.6%) had lower-grade ROP, and 3536 (55.6%) had no ROP. The CO-ROP model had a sensitivity of 96.9% (95% CI, 95.4%-97.9%) and a specificity of 40.9% (95% CI, 39.3%-42.5%). It missed 23 (3.1%) infants who developed severe ROP. The CO-ROP model would have reduced the number of infants who received examinations by 26.1% (95% CI, 25.0%-27.2%).
The CO-ROP model demonstrated high but not 100% sensitivity for severe ROP and missed infants who might require treatment in this large validation cohort. The model requires all 3 criteria to be met to signal a need for examinations, but some infants with a birth weight or gestational age above the thresholds developed severe ROP. Most of these infants who were not detected by the CO-ROP model had obvious deviation in expected weight trajectories or nonphysiologic weight gain. These findings suggest that the CO-ROP model needs to be revised before considering implementation into clinical practice.
科罗拉多早产儿视网膜病变(CO-ROP)模型利用出生体重、胎龄以及出生后第一个月的体重增长(WG-28)来预测早产儿严重视网膜病变(ROP)的风险。在之前的验证研究中,该模型表现出色,几乎能预测所有严重ROP病例,并有可能减少需要进行ROP检查的婴儿数量,因此有必要在更大、更多样化的人群中进行验证。
在一个大型多中心队列中验证CO-ROP模型的性能。
设计、地点、参与者:本研究是对早产产后生长与视网膜病变(G-ROP)研究数据的二次分析,这是一项回顾性多中心队列研究,于2006年1月至2012年6月在美国和加拿大的29家医院对6351名接受ROP检查的早产儿进行。
严重(早期治疗性ROP [ETROP] 1型或2型)ROP的敏感性和特异性,以及接受检查的婴儿数量的减少。将CO-ROP模型应用于G-ROP数据集中具有所有3个数据点的婴儿(如果婴儿满足所有3条标准:出生体重<1501 g;胎龄<30周;以及WG-28<650 g,他们就会接受检查)。缺少WG-28信息的婴儿被纳入一项二次分析,其中将WG-28视为少于650 g。
在G-ROP研究的7438名婴儿中,3575名(48.1%)为女孩,母亲种族/族裔为非裔美国人2310名(31.1%)、白人3615名(48.6%)、亚洲人233名(3.1%)、美洲印第安人/阿拉斯加原住民40名(0.52%)、太平洋岛民93名(1.3%)。在研究队列中,747名婴儿(11.8%)患有1型或2型ROP,2068名(32.6%)患有较低级别的ROP,3536名(55.6%)没有ROP。CO-ROP模型的敏感性为96.9%(95% CI,95.4%-97.9%),特异性为40.9%(95% CI, 39.3%-42.5%)。它遗漏了23名(3.1%)发生严重ROP的婴儿。CO-ROP模型将使接受检查的婴儿数量减少26.1%(95% CI, 25.0%-27.2%)。
在这个大型验证队列中,CO-ROP模型对严重ROP显示出高敏感性但并非100%,并遗漏了可能需要治疗的婴儿。该模型要求满足所有3条标准才提示需要进行检查,但一些出生体重或胎龄高于阈值的婴儿发生了严重ROP。这些未被CO-ROP模型检测到的婴儿大多在预期体重轨迹上有明显偏差或体重非生理性增加。这些发现表明,在考虑将CO-ROP模型应用于临床实践之前需要对其进行修订。