费城儿童医院评分预测印度早产儿重度视网膜病变。
Children's Hospital of Philadelphia Score to predict severe retinopathy in Indian preterm infants.
机构信息
Neonatology Department, Seth GS Medical College and King Edward Memorial Hospital, Mumbai, India.
National Institute of Immunohaematology, Indian Council of Medical Research, Mumbai, India.
出版信息
Eye (Lond). 2019 Sep;33(9):1452-1458. doi: 10.1038/s41433-019-0431-1. Epub 2019 Apr 8.
BACKGROUND
Retinopathy of Prematurity (ROP) screenings are expensive and entail heavy workload. Predictive models using postnatal weight gain reduces the number of ophthalmological examinations. The objective was to validate Children's Hospital of Philadelphia (CHOP) score to predict severe ROP in resource limited settings.
METHODS
Prior to ophthalmic examination, the CHOP score was calculated to predict severe ROP (point estimate = 0.014) in 191 preterm infants. Cut-off point estimate, most suitable in resource limited settings was assessed.
RESULTS
CHOP Score cutoff point (0.014) showed 67% sensitivity, 75% specificity. With CHOP score cut-off point (0.010), the corresponding values were 100% sensitivity, 51% specificity, PPV 12% and NPV 100%.
CONCLUSION
CHOP Score (0.014) is a poor tool to predict the onset of severe ROP. However, CHOP Score (0.010) is a promising tool to predict the onset of severe ROP and reduces the need for ophthalmological examinations by 50% in resource limited settings.
背景
早产儿视网膜病变（ROP）筛查费用高昂，工作量大。使用出生后体重增加的预测模型可以减少眼科检查的次数。本研究的目的是验证费城儿童医院（CHOP）评分在资源有限的环境中预测重度 ROP 的能力。
方法
在进行眼科检查之前，计算 CHOP 评分以预测 191 例早产儿重度 ROP（点估计值=0.014）。评估了在资源有限的环境中最适合的截断点估计值。
结果
CHOP 评分截断点（0.014）的敏感性为 67%，特异性为 75%。当使用 CHOP 评分截断点（0.010）时，相应的敏感性为 100%，特异性为 51%，PPV 为 12%，NPV 为 100%。
结论
CHOP 评分（0.014）是预测重度 ROP 发病的一种较差的工具。然而，CHOP 评分（0.010）是一种有前途的预测重度 ROP 发病的工具，可以在资源有限的环境中减少 50%的眼科检查需求。
Zotero 插件