Department of Neonatology, University of Basel, Children's Hospital UKBB, 4056, Basel, Switzerland.
Department of Neonatology, University Hospital Zurich, 8091, Zurich, Switzerland.
Pediatr Res. 2018 Nov;84(5):632-638. doi: 10.1038/s41390-018-0128-3. Epub 2018 Aug 6.
The incidence of retinopathy of prematurity (ROP) and ROP screening criteria differ between countries. We assessed whether ROP screening could be reduced based on the local ROP incidence.
Observational cohort study of infants born in Switzerland between 2006 and 2015 <32 0/7 weeks. Chronological and postmenstrual ages at ROP treatment were analyzed. A model to identify ROP treatment on patients born between 2006 and 2012 (training set) was developed and tested on patients born between 2013 and 2015 (validation set).
Of 7817 live-born infants, 1098 died within the first 5 weeks of life. The remaining 6719 infants were included into analysis. All patients requiring ROP treatment would have been identified if screening had been performed before reaching 60 days of life or 37 3/7 weeks postmenstrual age, whichever came first. The training and validation sets included 4522 and 2197 preterm infants encompassing 56 and 20 patients receiving ROP treatment, respectively. All patients would have required screening to reach 100% sensitivity. To reach a sensitivity of 95.0% and a specificity of 87.6%, we predicted a reduction in 13.2% of patients requiring screening (c-statistic = 0.916).
A substantial reduction of infants requiring screening seems possible, but necessitates prospective testing of new screening criteria.
早产儿视网膜病变(ROP)的发病率和 ROP 筛查标准在各国之间存在差异。我们评估了是否可以根据当地 ROP 的发病率来减少 ROP 筛查。
对 2006 年至 2015 年期间在瑞士出生的<32 0/7 周龄的婴儿进行观察性队列研究。分析 ROP 治疗时的胎龄和校正月龄。为 2006 年至 2012 年期间出生的患者建立了一个 ROP 治疗识别模型(训练集),并在 2013 年至 2015 年期间出生的患者中进行了验证(验证集)。
在 7817 例活产婴儿中,有 1098 例在生命的前 5 周内死亡。其余 6719 例婴儿纳入分析。如果在达到 60 天龄或 37 3/7 周校正月龄(以先到者为准)之前进行筛查,所有需要 ROP 治疗的患者都将被识别。训练集和验证集分别纳入 4522 例和 2197 例早产儿,分别包括 56 例和 20 例接受 ROP 治疗的患者。所有患者都需要进行筛查才能达到 100%的灵敏度。为了达到 95.0%的灵敏度和 87.6%的特异性,我们预测需要筛查的患者将减少 13.2%(c 统计量=0.916)。
似乎可以大幅度减少需要筛查的婴儿数量,但需要对新的筛查标准进行前瞻性测试。