Toyama Taku, Zhou Han Peng, Mihara Gen, Nakajima Kosuke, Nagahara Masako, Hayashi Kentaro
Department of Ophthalmology, Graduate School of Medicine and Faculty of Medicine, The University of Tokyo, 7-3-1 Hongo, Bunkyo-ku, Tokyo, 113-8655, Japan.
Department of Ophthalmology, Tokyo Shinjuku Medical Center, Japan Community Health care Organization, Tokyo, Japan.
Jpn J Ophthalmol. 2025 Sep 15. doi: 10.1007/s10384-025-01279-z.
This single-center retrospective study aimed to identify independent predictors of retinopathy of prematurity (ROP) treatment by integrating continuous pulse oximetry (SpO₂) data with comprehensive laboratory parameters.
Single-center retrospective cohort study.
We analyzed 244 neonates (gestational age < 34 weeks or birth weight < 1800 g) admitted between 2019 and 2023, excluding those with major genetic abnormalities. Logistic regression assessed associations between birth weight (BW), average SpO₂ at birth, hemoglobin (Hb), albumin (Alb), and selected inflammatory markers (e.g., neutrophil-to-lymphocyte ratio) with ROP treatment. Model discrimination was evaluated via receiver operating characteristic curves.
Of the 244 infants, 16.8% required treatment (laser therapy or anti-VEGF injections). Lower BW and lower Hb were significantly associated with treatment (P <0.05). In the final multivariable model, BW and Hb emerged as key predictors (AUC = 0.884; accuracy = 88%), while Alb and inflammatory indices were not independently significant. Predicted treatment probabilities decreased markedly as BW and Hb increased.
BW and Hb were primary predictors of ROP treatment necessity in this cohort, whereas Alb and inflammatory markers did not show independent associations. Incorporating continuous SpO₂ monitoring provided valuable respiratory insights. Further prospective, multicenter studies are warranted to validate these findings and refine ROP risk stratification strategies.
本单中心回顾性研究旨在通过整合连续脉搏血氧饱和度(SpO₂)数据与综合实验室参数,确定早产儿视网膜病变(ROP)治疗的独立预测因素。
单中心回顾性队列研究。
我们分析了2019年至2023年间收治的244例新生儿(胎龄<34周或出生体重<1800g),排除患有重大遗传异常的新生儿。逻辑回归评估出生体重(BW)、出生时平均SpO₂、血红蛋白(Hb)、白蛋白(Alb)以及选定的炎症标志物(如中性粒细胞与淋巴细胞比率)与ROP治疗之间的关联。通过受试者工作特征曲线评估模型的辨别力。
在这244例婴儿中,16.8%需要治疗(激光治疗或抗VEGF注射)。较低的BW和较低的Hb与治疗显著相关(P<0.05)。在最终的多变量模型中,BW和Hb成为关键预测因素(AUC=0.884;准确率=88%),而Alb和炎症指标并非独立显著。随着BW和Hb的增加,预测的治疗概率显著降低。
在该队列中,BW和Hb是ROP治疗必要性的主要预测因素,而Alb和炎症标志物未显示出独立关联。纳入连续SpO₂监测提供了有价值的呼吸方面见解。有必要进行进一步的前瞻性多中心研究以验证这些发现并完善ROP风险分层策略。