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胎儿区域特异性优化生长标准(FROGS)——一种在全国人群中验证过的胎儿和出生体重百分位数计算器。

The Fetal Region-specific Optimized Growth Standard (FROGS)-A fetal and birthweight centile calculator validated in a national population.

作者信息

Pritchard Natasha L, Tong Stephen, MacDonald Teresa, McCarthy Elizabeth, Hui Lisa, Bethune Michael, Gordon Hannah G, Hastie Roxanne, Keenan Emerson, Permezel Michael, Walker Susan P, Lindquist Anthea C

机构信息

Department of Obstetrics, Gynaecology and Newborn Health, University of Melbourne, Melbourne, Victoria, Australia.

Mercy Perinatal, Mercy Hospital for Women, Heidelberg, Victoria, Australia.

出版信息

PLoS Med. 2025 Jun 20;22(6):e1004634. doi: 10.1371/journal.pmed.1004634. eCollection 2025 Jun.

DOI:10.1371/journal.pmed.1004634
PMID:40540533
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC12212869/
Abstract

BACKGROUND

There is no universally agreed upon obstetric growth standard for use during pregnancy. We aimed to design a simple novel growth standard, which incorporates key beneficial features identified in prior research.

METHODS AND FINDINGS

We developed the Fetal Region-specific Optimized Growth Standard (FROGS), then validated it following International Federation of Gynaecology and Obstetrics (FIGO) guidelines. FROGS follows the shape of the fetal (ultrasound-based) Hadlock curve. It is region-specific; allowing adjustment for the mean birthweight and standard deviation of babies born at term in the local population where it will be applied. It provides an exact centile for each gestational day (rather than rounding off by weeks) and is optionally adjustable for fetal sex. Further, FROGS provides an 'estimate range' for the estimated fetal weight centile, assuming a 10% ultrasound measurement error. Following development, we validated FROGS in a retrospective cohort study by comparing its ability to identify small babies with an increased risk of adverse perinatal outcomes to four charts in current use: (1) population birthweight chart (Australian Institute of Health and Welfare, AIHW chart); (2) Hadlock's 1991 fetal chart; (3) Mikolajczyk's global fetal and birthweight centile chart; and (4) INTERGROWTH-21st fetal growth standards. To do this, we identified infants classified as small for gestational age (<10th centile) by each chart. We then identified non-overlapping <10th centile populations, i.e., infants classified as small by one chart, but not another. We compared rates of stillbirth and adverse perinatal outcomes between the non-overlapping populations. All charts except INTERGROWTH classified similar proportions of infants as <10th centile (10.4% FROGS, 9.3% AIHW, 11.1% Hadlock, 10.9% global, 4.4% INTERGROWTH). Of the three charts that classified similar proportions as <10th centile, infants classified by FROGS were at the highest risk of adverse perinatal outcomes. The infants classified as <10th centile by only FROGS had significantly increased relative risk (RR) of stillbirth, compared to the infants classified as <10th centile by only AIHW (RR 13.1, 95% CI 6.5-26.5), only Hadlock (RR 2.1, 95% CI 1.28-3.56) or only the global chart (RR 1.54, 95% CI 1.00-2.37). The FROGS chart outperformed these three charts in identifying infants at risk of other adverse perinatal outcomes associated with being small for gestational age, such as neonatal intensive care admission, Apgar scores <7 at 5 min, and operative (instrumental) vaginal birth for suspected fetal compromise. The cohort of infants classified as small for gestational age by INTERGROWTH was, in size and risk, closer to the cohort classified as <3rd centile by FROGS (3.4% of infants <3rd). This study is limited in that it retrospectively assesses birthweight, which may have different implications to a prospective evaluation of estimated fetal weight.

CONCLUSIONS

Compared to currently used charts, the Fetal Region-specific Optimized Growth Standard outperforms existing charts that classify a similar proportion of infants as small for gestational age in identifying small infants at increased risk of stillbirth and other serious perinatal outcomes. The FROGS centile algorithm is simple and transparent. It has the potential to be adapted to other local populations, or applied to clinical and research settings globally.

摘要

背景

目前尚无普遍认可的孕期产科生长标准。我们旨在设计一种简单新颖的生长标准,纳入先前研究中确定的关键有益特征。

方法与结果

我们制定了胎儿区域特异性优化生长标准(FROGS),然后按照国际妇产科联合会(FIGO)指南进行验证。FROGS遵循胎儿(基于超声的)哈德洛克曲线的形状。它是区域特异性的;允许根据将应用该标准的当地人群中足月出生婴儿的平均出生体重和标准差进行调整。它为每个孕周提供精确的百分位数(而非按周四舍五入),并且可根据胎儿性别进行调整。此外,FROGS为估计胎儿体重百分位数提供一个“估计范围”,假设超声测量误差为10%。制定完成后,我们在一项回顾性队列研究中对FROGS进行验证,通过比较其识别围产期不良结局风险增加的小婴儿的能力与目前使用的四张图表:(1)人群出生体重图表(澳大利亚卫生与福利研究所,AIHW图表);(2)哈德洛克1991年胎儿图表;(3)米科拉伊奇克的全球胎儿和出生体重百分位数图表;以及(4)INTERGROWTH - 21世纪胎儿生长标准。为此,我们确定了每张图表分类为小于胎龄儿(<第10百分位数)的婴儿。然后我们确定了不重叠的<第10百分位数人群,即被一张图表分类为小婴儿但未被另一张图表分类的婴儿。我们比较了不重叠人群之间的死产率和围产期不良结局发生率。除INTERGROWTH外,所有图表将相似比例的婴儿分类为<第10百分位数(FROGS为10.4%,AIHW为9.3%,哈德洛克为11.1%,全球图表为10.9%,INTERGROWTH为4.4%)。在将相似比例分类为<第10百分位数的三张图表中,被FROGS分类的婴儿围产期不良结局风险最高。仅被FROGS分类为<第10百分位数的婴儿相比仅被AIHW分类为<第10百分位数的婴儿(相对风险13.1,95%置信区间6.5 - 26.5)、仅被哈德洛克分类为<第10百分位数的婴儿(相对风险2.1,95%置信区间1.28 - 3.56)或仅被全球图表分类为<第10百分位数的婴儿(相对风险1.54,95%置信区间1.00 - 2.37),死产的相对风险显著增加。FROGS图表在识别与小于胎龄儿相关的其他围产期不良结局风险的婴儿方面优于这三张图表,如新生儿重症监护病房入院、5分钟时阿氏评分<7以及因疑似胎儿窘迫行手术(器械)阴道分娩。被INTERGROWTH分类为小于胎龄儿的婴儿队列在规模和风险上更接近被FROGS分类为<第3百分位数(3.4%的婴儿<第3百分位数)的队列。本研究的局限性在于它回顾性评估出生体重,这可能与前瞻性评估估计胎儿体重有不同的意义。

结论

与目前使用的图表相比,胎儿区域特异性优化生长标准在识别死产和其他严重围产期结局风险增加的小婴儿方面优于将相似比例婴儿分类为小于胎龄儿的现有图表。FROGS百分位数算法简单且透明。它有可能适用于其他当地人群,或在全球范围内应用于临床和研究环境。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/075b/12212869/9da354dd1c20/pmed.1004634.g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/075b/12212869/6d1daf2d5e1a/pmed.1004634.g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/075b/12212869/da127e102896/pmed.1004634.g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/075b/12212869/3175294cbcaf/pmed.1004634.g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/075b/12212869/9da354dd1c20/pmed.1004634.g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/075b/12212869/6d1daf2d5e1a/pmed.1004634.g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/075b/12212869/da127e102896/pmed.1004634.g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/075b/12212869/3175294cbcaf/pmed.1004634.g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/075b/12212869/9da354dd1c20/pmed.1004634.g004.jpg

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