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朝向产科疾病的新分类法:根据胎盘病理对主要产科综合征进行分类时,母体血液生物标志物的性能得到改善。

Toward a new taxonomy of obstetrical disease: improved performance of maternal blood biomarkers for the great obstetrical syndromes when classified according to placental pathology.

机构信息

Perinatology Research Branch, Divisions of Obstetrics and Maternal-Fetal Medicine and Intramural Research, US Department of Health and Human Services, Eunice Kennedy Shriver National Institute of Child Health and Human Development, National Institutes of Health, Bethesda, MD, and Detroit, MI; Department of Obstetrics and Gynecology, University of Michigan, Ann Arbor, MI; Department of Epidemiology and Biostatistics, Michigan State University, East Lansing, MI; Center for Molecular Medicine and Genetics, Wayne State University, Detroit, MI; Detroit Medical Center, Detroit, MI.

Perinatology Research Branch, Divisions of Obstetrics and Maternal-Fetal Medicine and Intramural Research, US Department of Health and Human Services, Eunice Kennedy Shriver National Institute of Child Health and Human Development, National Institutes of Health, Bethesda, MD, and Detroit, MI; Department of Obstetrics and Gynecology, Wayne State University School of Medicine, Detroit, MI.

出版信息

Am J Obstet Gynecol. 2022 Oct;227(4):615.e1-615.e25. doi: 10.1016/j.ajog.2022.04.015. Epub 2022 Sep 3.

DOI:10.1016/j.ajog.2022.04.015
PMID:36180175
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC9525890/
Abstract

BACKGROUND

The major challenge for obstetrics is the prediction and prevention of the great obstetrical syndromes. We propose that defining obstetrical diseases by the combination of clinical presentation and disease mechanisms as inferred by placental pathology will aid in the discovery of biomarkers and add specificity to those already known.

OBJECTIVE

To describe the longitudinal profile of placental growth factor (PlGF), soluble fms-like tyrosine kinase-1 (sFlt-1), and the PlGF/sFlt-1 ratio throughout gestation, and to determine whether the association between abnormal biomarker profiles and obstetrical syndromes is strengthened by information derived from placental examination, eg, the presence or absence of placental lesions of maternal vascular malperfusion.

STUDY DESIGN

This retrospective case cohort study was based on a parent cohort of 4006 pregnant women enrolled prospectively. The case cohort of 1499 pregnant women included 1000 randomly selected patients from the parent cohort and all additional patients with obstetrical syndromes from the parent cohort. Pregnant women were classified into six groups: 1) term delivery without pregnancy complications (n=540; control); 2) preterm labor and delivery (n=203); 3) preterm premature rupture of the membranes (n=112); 4) preeclampsia (n=230); 5) small-for-gestational-age neonate (n=334); and 6) other pregnancy complications (n=182). Maternal plasma concentrations of PlGF and sFlt-1 were determined by enzyme-linked immunosorbent assays in 7560 longitudinal samples. Placental pathologists, masked to clinical outcomes, diagnosed the presence or absence of placental lesions of maternal vascular malperfusion. Comparisons between mean biomarker concentrations in cases and controls were performed by utilizing longitudinal generalized additive models. Comparisons were made between controls and each obstetrical syndrome with and without subclassifying cases according to the presence or absence of placental lesions of maternal vascular malperfusion.

RESULTS

  1. When obstetrical syndromes are classified based on the presence or absence of placental lesions of maternal vascular malperfusion, significant differences in the mean plasma concentrations of PlGF, sFlt-1, and the PlGF/sFlt-1 ratio between cases and controls emerge earlier in gestation; 2) the strength of association between an abnormal PlGF/sFlt-1 ratio and the occurrence of obstetrical syndromes increases when placental lesions of maternal vascular malperfusion are present (adjusted odds ratio [aOR], 13.6 vs 6.7 for preeclampsia; aOR, 8.1 vs 4.4 for small-for-gestational-age neonates; aOR, 5.5 vs 2.1 for preterm premature rupture of the membranes; and aOR, 3.3 vs 2.1 for preterm labor (all P<0.05); and 3) the PlGF/sFlt-1 ratio at 28 to 32 weeks of gestation is abnormal in patients who subsequently delivered due to preterm labor with intact membranes and in those with preterm premature rupture of the membranes if both groups have placental lesions of maternal vascular malperfusion. Such association is not significant in patients with these obstetrical syndromes who do not have placental lesions.

CONCLUSION

Classification of obstetrical syndromes according to the presence or absence of placental lesions of maternal vascular malperfusion allows biomarkers to be informative earlier in gestation and enhances the strength of association between biomarkers and clinical outcomes. We propose that a new taxonomy of obstetrical disorders informed by placental pathology will facilitate the discovery and implementation of biomarkers as well as the prediction and prevention of such disorders.

摘要

背景

产科的主要挑战是预测和预防重大产科综合征。我们提出,通过胎盘病理学推断出的临床表现和疾病机制相结合来定义产科疾病,将有助于发现生物标志物,并为已经了解的生物标志物增加特异性。

目的

描述胎盘生长因子(PlGF)、可溶性 fms 样酪氨酸激酶-1(sFlt-1)和 PlGF/sFlt-1 比值在整个孕期的纵向变化,并确定异常生物标志物谱与产科综合征之间的关联是否通过源自胎盘检查的信息(例如,母体血管灌注不良的胎盘病变的存在或不存在)得到加强。

研究设计

本回顾性病例队列研究基于前瞻性纳入的 4006 名孕妇的母队列。1499 名孕妇的病例队列包括母队列中随机选择的 1000 名患者和母队列中所有其他产科综合征患者。孕妇分为六组:1)足月分娩且无妊娠并发症(n=540;对照组);2)早产伴分娩(n=203);3)早产胎膜早破(n=112);4)子痫前期(n=230);5)小于胎龄儿(n=334);6)其他妊娠并发症(n=182)。通过酶联免疫吸附试验在 7560 个纵向样本中测定孕妇血浆中 PlGF 和 sFlt-1 的浓度。胎盘病理学家对母体血管灌注不良的胎盘病变的存在或不存在进行了盲法诊断。利用纵向广义加性模型比较病例和对照组的平均生物标志物浓度。将对照组与每个产科综合征进行比较,并根据是否存在母体血管灌注不良的胎盘病变对病例进行分类。

结果

1)当根据母体血管灌注不良的胎盘病变的存在与否对产科综合征进行分类时,病例和对照组之间 PlGF、sFlt-1 和 PlGF/sFlt-1 比值的平均血浆浓度差异在妊娠早期更早出现;2)当存在母体血管灌注不良的胎盘病变时,异常 PlGF/sFlt-1 比值与产科综合征发生之间的关联强度增加(调整后的优势比[aOR],子痫前期为 13.6 比 6.7;aOR,小于胎龄儿为 8.1 比 4.4;aOR,早产胎膜早破为 5.5 比 2.1;aOR,早产为 3.3 比 2.1;均 P<0.05);3)在因胎膜完整的早产伴分娩和早产胎膜早破而随后分娩的患者中,28 至 32 周时的 PlGF/sFlt-1 比值异常,如果两组均存在母体血管灌注不良的胎盘病变,则这些患者存在这种产科综合征。在没有母体血管灌注不良的胎盘病变的这些产科综合征患者中,这种关联并不显著。

结论

根据母体血管灌注不良的胎盘病变的存在与否对产科综合征进行分类,可以更早地为妊娠提供有意义的生物标志物,并增强生物标志物与临床结局之间的关联强度。我们提出,基于胎盘病理学的新的产科疾病分类学将有助于发现和实施生物标志物,并预测和预防这些疾病。

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