Unisex and Sex-Specific Prescriptive Fetal Growth Charts for Improved Detection of Small-for-Gestational-Age Babies in a Low-Risk Population: A post hoc Analysis of a Cluster-Randomized Study.

IF 1.6 3区 医学 Q3 OBSTETRICS & GYNECOLOGY Fetal Diagnosis and Therapy Pub Date : 2024-01-01 Epub Date: 2024-07-26 DOI:10.1159/000540554
Mariëlle van Roekel, Corine J Verhoeven, Hester D Kamphof, Sanne J Gordijn, Wessel Ganzevoort, Arie Franx, Wessel van Wieringen, Ank de Jonge, Jens Henrichs
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Abstract

Introduction: Our aim was to develop and evaluate the performance of population-based sex-specific and unisex prescriptive fetal abdominal circumference growth charts in predicting small-for-gestational-age (SGA) birthweight, severe SGA (sSGA) birthweight, and severe adverse perinatal outcomes (SAPO) in a low-risk population.

Methods: This is a post hoc analysis of the Dutch nationwide cluster-randomized IRIS study, encompassing ultrasound data of 7,704 low-risk women. IRIS prescriptive unisex and IRIS sex-specific abdominal circumference (AC) fetal growth charts were derived using quantile regression. As a comparison, we used the descriptive unisex Verburg chart, which is commonly applied in the Netherlands. Diagnostic parameters were calculated based on the 34-36 weeks' ultrasound.

Results: Sensitivity rates for predicting SGA and sSGA birthweights were more than twofold higher based on the IRIS prescriptive sex-specific (respectively SGA 43%; sSGA 59%) and unisex (SGA 39%; sSGA 55%) charts, compared to the Verburg chart (SGA 16%; sSGA 23% both p < 0.01). Specificity rates were highest for Verburg (SGA 99%; sSGA 98%) and lowest for IRIS sex-specific (SGA 94%; sSGA 92%). Results for predicting SGA with SAPO were similar for the prescriptive charts (44%), and again higher than the Verburg chart (20%). The IRIS sex-specific chart identified significantly more males as SGA and sSGA (respectively, 42%; 60%, p < 0.001) than the IRIS unisex chart (respectively, 35%; 53% p < 0.01).

Conclusion: Our study demonstrates improved performance of both the IRIS sex-specific and unisex prescriptive fetal growth compared to the Verburg descriptive chart, doubling detection rates of SGA, sSGA, and SGA with SAPO. Additionally, the sex-specific chart outperformed the unisex chart in detecting SGA and sSGA. Our findings suggest the potential benefits of using prescriptive AC fetal growth charts in low-risk populations and emphasize the importance of considering customizing fetal growth charts for sex. Nevertheless, the increased sensitivity of these charts should be weighed against the decrease in specificity.

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在低风险人群中改进妊娠期过小婴儿检测的中性和性别特异性胎儿生长指示图:群组随机研究的事后分析。
引言 我们的目的是开发和评估基于人群的性别特异性和单性别规定性胎儿腹围生长曲线图在预测低危人群小于妊娠年龄(SGA)出生体重、严重 SGA(sSGA)出生体重和严重围产期不良结局(SAPO)方面的性能。方法 这是对荷兰全国范围内的分组随机 IRIS 研究进行的一项事后分析,其中包括 7704 名低风险妇女的超声波数据。通过量子回归法得出了 IRIS 规定性单性别和 IRIS 性别特异性腹围(AC)胎儿生长曲线图。作为对比,我们使用了荷兰常用的描述性单性别韦尔堡图表。诊断参数根据 34-36 周超声波检查结果计算得出。结果 根据 IRIS 规定性别的特异性图表(分别为 SGA 43%;sSGA 59%)和中性图表(SGA 39%;sSGA 55%)预测 SGA 和 sSGA 出生体重的灵敏度比 Verburg 图表(SGA 16%;sSGA 23%,均为 p < 0.01)高出两倍多。Verburg 的特异性最高(SGA 99%;sSGA 98%),而 IRIS 性别特异性最低(SGA 94%;sSGA 92%)。用 SAPO 预测 SGA 的结果与处方图表相似(44%),也高于 Verburg 图表(20%)。IRIS 性别特异性图表识别出的 SGA 和 sSGA 男性比例(分别为 42% 和 60%,p<0.001)明显高于 IRIS 单性别图表(分别为 35% 和 53% p<0.01)。结论 我们的研究表明,与 Verburg 描述性图表相比,IRIS 性别特异性和中性胎儿发育描述性图表的性能均有所提高,SGA、sSGA 和 SGA 伴 SAPO 的检出率均增加了一倍。此外,在检测 SGA 和 sSGA 方面,性别特异性图表优于单性别图表。我们的研究结果表明,在低风险人群中使用规定性 AC 胎儿生长图具有潜在的益处,并强调了考虑根据性别定制胎儿生长图的重要性。然而,这些图表灵敏度的提高与特异性的降低应加以权衡。
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来源期刊
Fetal Diagnosis and Therapy
Fetal Diagnosis and Therapy 医学-妇产科学
CiteScore
4.70
自引率
9.10%
发文量
48
审稿时长
6-12 weeks
期刊介绍: The first journal to focus on the fetus as a patient, ''Fetal Diagnosis and Therapy'' provides a wide range of biomedical specialists with a single source of reports encompassing the common discipline of fetal medicine.
期刊最新文献
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