子宫内生长与极早产儿视网膜病变风险的关联:一项多中心队列研究

IF 3
Neonatology Pub Date : 2025-10-16 DOI:10.1159/000548929
Juan Du, Xinyue Gu, Siyuan Jiang, Jianguo Zhou, Liyuan Hu, Jie Yang, Yujie Han, Yun Cao, Lizhong Du, Wenhao Zhou, Shoo K Lee, Xiaoping Lei, Mingyan Hei
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引用次数: 0

摘要

以体重百分位数测量的宫内生长状态对早产儿视网膜病变(ROP)发病机制的影响仍未充分表征。该研究的目的是建立ROP发展的体重百分位特异性风险梯度。方法:采用2019年1月至2021年12月中国新生儿网络数据进行多中心队列研究。暴露是GA和性别特异性的体重百分位数。主要观察指标为ROP的发生率。估计95%置信区间(ci)的优势比(ORs),调整潜在混杂因素,并按出生年龄、婴儿性别、产妇高血压、单胎/多胎进行分层。结果:共纳入早产儿17 882例,BW为1300.0 (11.0 ~ 1500.0)g, GA为29.9(28.6 ~ 31.0)周。任何阶段ROP的发生率为27%,严重ROP(3期或以上)的发生率为3.7%。体重百分位数每降低10%,任何阶段ROP (aOR 0.85 [95% CI 0.83-0.86])或严重ROP (aOR 0.85 [95% CI 0.82-0.89])的几率增加15%。预测任何阶段ROP的最佳判别BW百分位数为26%,预测严重ROP的最佳判别BW百分位数为19%。在这些临界值下,较低的体重百分位数与任何阶段ROP (aOR 2.20 [95% CI 1.97-2.47]和严重ROP (aOR 2.91 [95% CI 2.22-3.80])的发生率升高相关。结论:ROP发病率与体重百分位数呈负相关。体重每下降10%,任何阶段ROP和严重ROP的几率增加15%。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Association of intrauterine growth with retinopathy of prematurity risk in very preterm infants: a multicenter cohort study.

Introduction: The impact of intrauterine growth status as measured by BW percentiles on retinopathy of prematurity (ROP) pathogenesis remains inadequately characterized. The objectives of the study was to establish BW percentile-specific risk gradients for ROP development.

Methods: A multicenter cohort study was conducted with data were collected from Chinese Neonatal Network between January, 2019 and December, 2021. The exposure was GA- and sex-specific BW percentile. The primary outcome was incidence of ROP. Odds ratios (ORs) with 95% confidence intervals (CIs) were estimated, adjusted for potential confounders, and stratified by GA, infant sex, maternal hypertension, singleton/multiple birth.

Results: Totally 17 882 preterm infants were enrolled, BW was 1300.0 (1100.0-1500.0) g and GA was 29.9 (28.6-31.0) weeks. The incidence was 27% for any stage ROP and 3.7% for severe ROP (stage 3 or above). Each decrease of BW percentile by 10% was associated with 15% increase of odds for either any stage ROP (aOR 0.85 [95% CI 0.83-0.86]) or severe ROP (aOR 0.85 [95% CI 0.82-0.89]). The optimal discriminative BW percentile on ROC curve was 26% for predicting any stage ROP and 19% for predicting severe ROP. Lower BW percentile under these cut-offs were associated with elevated odds of any stage ROP (aOR 2.20 [95% CI 1.97-2.47] and severe ROP (aOR 2.91 [95% CI 2.22-3.80]).

Conclusions: ROP incidence was negatively associated with BW percentile. Each 10% decreased BW percentile was associated with 15% increased odds of any stage ROP and severe ROP.

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