实用医学杂志 ›› 2026, Vol. 42 ›› Issue (17): 3215-3221.doi: 10.3969/j.issn.1006-5725.2026.17.021

• 论著·机制与实践 • 上一篇    下一篇

中晚期早产儿校正0 ~ 18月龄追赶生长模式组基轨迹模型分析

史坤1,2, 王杨1(), 张修侠2, 张旭晗2, 陈晓艳1, 陈兰兰2, 邹曼玉2, 吴莉莉2   

  1. 1. 安徽医科大学第一附属医院儿科 (安徽 合肥 230022 )
    2. 安徽理工大学第一附属医院新生儿科 (安徽 淮南 232000 )
  • 收稿日期:2026-05-14 出版日期:2026-09-10 发布日期:2026-10-10
  • 通讯作者: 王杨
  • 基金资助:
    安徽省教育厅高等学校省级质量工程项目(2023jyxm1252)

Latent class trajectory model analysis on catch-up growth patterns of moderate-late preterm infants at corrected age of 0 ⁃ 18 months

Kun Shi1,2, Yang Wang1(), Xiuxia Zhang2, Xuhan Zhang2, Xiaoyan Chen1, Lanlan Chen2, Manyu Zou2, Lili Wu2   

  1. 1. Department of Pediatrics,the First Affiliated Hospital of Anhui Medical University,Hefei 230022,Anhui,China
    2. Department of neonatology,First Affiliated Hospital of Anhui University of Science and Technology,Huainan 232000,Anhui,China
  • Received:2026-05-14 Online:2026-09-10 Published:2026-10-10
  • Contact: Yang Wang
  • About author:

    Wang Yang and Shi Kun carried out the project design, with Shi Kun conducting data analysis and writing this article. Zhang Xiuxia, Chen Xiaoyan, Zou Manyu, Chen Lanlan, Wu Lili, and Zhang Xuhan participated in data collection. Shi Kun and Wang Yang were responsible for revising the manuscript.All authors read and approved the final manuscript as submitted.

摘要:

目的 分析中晚期早产儿校正0 ~ 18月龄追赶生长轨迹模式,进一步探讨生长轨迹的影响因素。 方法 单中心回顾性队列研究,择取2021年1月至2024年9月经医院收治的中晚期(孕32 ~ 36周)早产儿201例,收集患儿出生及随访指标,基于《中国儿童体格生长评价建议》定期测量体格,参照国家卫生健康委员会发布的《7岁以下儿童生长标准(WS/T 423)》计算身高别体质量Z分数(WHZ)评估生长情况,以WHZ为纵向观测指标,以时间(校正0、6、12、18月龄)为时间变量,使用StataMP16软件构建组基轨迹模型,将中晚期早产儿校正0 ~ 18月龄追赶生长轨迹特征分为缓慢追赶组、适宜追赶组及过快追赶组,行单因素及多项logistic回归模型多因素分析影响生长轨迹的影响因素。 结果 201例,其中男121例(60.20%),女80例(39.80%);出生体质量(2.5 ± 0.5)kg,身高(长)(46.0 ± 3.4)cm。根据组基轨迹模型识别出3种生长轨迹模式,依次分为缓慢追赶组(n = 22)、适宜追赶组(n = 131)及过快追赶组(n = 48);过快追赶组出生体质量高于缓慢追赶组及适宜追赶组,适宜追赶组肠内喂养日龄大于缓慢追赶组及过快追赶组,缓慢追赶组达完全肠内喂养日龄长于适宜追赶组,缓慢追赶组及过快追赶组6月龄内纯母乳喂养构成比低于适宜追赶组,缓慢追赶组EUGR发生率高于适宜追赶组,差异有统计学意义(P < 0.05);经多项logistic回归模型多因素分析结果显示:中晚期早产儿缓慢追赶保护因素为6月龄内纯母乳喂养,危险因素为出生体质量、达完全肠内喂养日龄及EUGR,中晚期早产儿过快追赶保护因素为6月龄内纯母乳喂养,危险因素为出生体质量。 结论 组基轨迹模型识别中晚期早产儿校正0 ~ 18月龄追赶生长轨迹模式有所不同,缓慢/过快追赶模式与出生体质量、肠内营养、母乳喂养及EUGR有一定关联,需考虑上述因素合理调控以实现中晚期早产儿向适宜追赶模式转变。

关键词: 早产儿, 中晚期, 组基轨迹模型, 追赶生长轨迹, 影响因素

Abstract:

Objective This study aims to analyze the catch-up growth trajectory patterns of premature infants aged 0 - 18 months in the middle and late stages, and further explore the influencing factors of the observed growth trajectories. Methods A single-center retrospective cohort study was conducted on 201 mid-to-late preterm infants (32 - 36 weeks of gestation) admitted to hospital between January 2021 and September 2024. Birth characteristics and longitudinal follow-up data were collected, and periodic anthropometric measurements were performed in accordance with the Recommendations for Physical Growth Evaluation of Chinese Children. The weight-for-height Z-score (WHZ) was calculated based on the Growth Standards for Children Under 7 Years of Age (WS/T 423) issued by the National Health Commission of the People's Republic of China to assess participants' growth status. WHZ was adopted as the longitudinal observation indicator, and corrected age (0, 6, 12, and 18 months) was set as the time variable. The group-based trajectory model was constructed using StataMP 16 software to characterize the growth trajectories of mid-to-late preterm infants during the catch-up growth period from 0 to 18 months corrected age. Infants were categorized into three trajectory groups: slow catch-up, appropriate catch-up, and accelerated catch-up. Univariate analysis and multiple logistic regression analysis were performed to identify influencing factors associated with the distinct growth trajectories. Results Among the 201 included cases, 121 were boys (60.20%) and 80 were girls (39.80%). The average birth weight was (2.5 ± 0.5) kg, and the average birth height (length) was (46.0 ± 3.4) cm. Using the group-based trajectory modeling, three distinct growth trajectory patterns were identified: the slow catch-up group (n = 22), the appropriate catch-up group (n = 131), and the rapid catch-up group (n = 48). The birth weight of the rapid catch-up group was significantly higher than that of both the slow catch-up group and the appropriate catch-up group. The age at initiation of enteral feeding in the appropriate catch-up group was later than that in the slow catch-up group and the rapid catch-up group. The age at achievement of full enteral feeding in the slow catch-up group was later than that in the appropriate catch-up group. The proportion of exclusive breastfeeding within 6 months was lower in both the slow catch-up group and the rapid catch-up group than in the appropriate catch-up group. The incidence of extrauterine growth restriction (EUGR) was significantly higher in the slow catch-up group than in the appropriate catch-up group, and the difference was statistically significant (P < 0.05). Results from multiple logistic regression analysis showed that exclusive breastfeeding within 6 months of age is a protective factor for slow postnatal catch-up growth in preterm infants during the mid-to-late period, while birth weight, age at achievement of full enteral feeding, and EUGR are risk factors. For rapid mid-to-late catch-up growth in preterm infants, exclusive breastfeeding within 6 months of age is a protective factor, and birth weight is a risk factor. Conclusions The group-based trajectory model identifies heterogeneous catch-up growth trajectory patterns of preterm infants during the mid-to-late postnatal period after adjusting for gestational age for the 0-18-month age range. The slow versus fast catch-up trajectory is significantly associated with birth weight, enteral nutrition, breastfeeding, and EUGR. It is therefore necessary to account for these influencing factors and implement targeted clinical regulation to facilitate the transition of preterm infants in the mid-to-late postnatal period to an optimal catch-up growth pattern.

Key words: preterm infant, moderate-late preterm, group-based trajectory model, catch-up growth trajectory, influencing factors

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