母体临床特征与血生化指标在双胎妊娠子痫 前期风险预测中的应用:现状与展望
Application of Maternal Clinical Characteristics and Blood Biochemical Markers in Risk Prediction of Preeclampsia in Twin Pregnancies: Current Status and Future Perspectives
DOI: 10.12677/acm.2026.1641221, PDF,   
作者: 侯 佳, 李 莉*:重庆医科大学附属妇女儿童医院(重庆市妇幼保健院)妇产科,重庆
关键词: 双胎妊娠子痫前期母体临床特征血生化指标预测模型Twin Pregnancy Preeclampsia Maternal Clinical Characteristics Blood Biochemical Markers Prediction Model
摘要: 双胎妊娠子痫前期(PE)的发病率显著高于单胎妊娠,其病理生理机制涉及胎盘体积增大、血管生成因子失衡、母体心血管负荷增加及免疫调节异常等多重因素。与单胎PE不同,双胎PE表现出更早的发病年龄和更严重的临床表现,但其危险因素谱和预测模型研究相对滞后。本文系统综述了双胎PE的发病机制、基于母体临床特征(孕前体质指数、孕期增重、受孕方式、绒毛膜性等)和血生化指标(胎盘生长因子、可溶性fms样酪氨酸激酶-1、妊娠相关血浆蛋白A、游离胎儿DNA分数等)的预测因子研究进展,总结了国内外双胎PE预测模型的构建现状与效能评价。现有研究表明,单一指标预测效能有限,多指标联合模型可显著提升预测准确性,但多数模型样本量较小、缺乏外部验证。未来研究应致力于多中心大样本队列的建立、多模态预测模型的优化、机器学习算法的应用以及临床决策支持系统的开发,以实现双胎PE的精准早期筛查和个体化管理。
Abstract: The incidence of preeclampsia (PE) in twin pregnancies is significantly higher than that in singleton pregnancies. Its pathophysiology involves multiple factors, including increased placental volume, imbalance of angiogenic factors, increased maternal cardiovascular load, and immune dysregulation. Unlike singleton PE, twin PE presents with earlier onset and more severe clinical manifestations, yet research on its risk factor profile and predictive models lags behind. This article systematically reviews the pathogenesis of twin PE, the progress of predictive factors based on maternal clinical characteristics (pre-pregnancy body mass index, gestational weight gain, mode of conception, chorionicity, etc.) and blood biochemical markers (placental growth factor, soluble fms-like tyrosine kinase-1, pregnancy-associated plasma protein A, cell-free fetal DNA fraction, etc.), and summarizes the current status and performance evaluation of predictive models for twin PE in China and internationally. Existing studies show that single indicators have limited predictive efficacy, while multi-indicator combined models significantly improve predictive accuracy. However, most models have small sample sizes and lack external validation. Future research should focus on establishing multicenter large-sample cohorts, optimizing multimodal prediction models, applying machine learning algorithms, and developing clinical decision support systems to achieve accurate early screening and individualized management of twin PE.
文章引用:侯佳, 李莉. 母体临床特征与血生化指标在双胎妊娠子痫 前期风险预测中的应用:现状与展望[J]. 临床医学进展, 2026, 16(4): 23-32. https://doi.org/10.12677/acm.2026.1641221

参考文献

[1] Chappell, L.C., Cluver, C.A., Kingdom, J. and Tong, S. (2021) Pre-Eclampsia. The Lancet, 398, 341-354. [Google Scholar] [CrossRef] [PubMed]
[2] Bokuda, K. and Ichihara, A. (2023) Preeclampsia up to Date—What’s Going on? Hypertension Research, 46, 1900-1907. [Google Scholar] [CrossRef] [PubMed]
[3] Aviram, A., Berger, H., Abdulaziz, K.E., Barrett, J.F.R., Murray-Davis, B., McDonald, S.D., et al. (2021) Outcomes Associated with Hypertensive Disorders of Pregnancy in Twin Compared with Singleton Gestations. Obstetrics & Gynecology, 138, 449-458. [Google Scholar] [CrossRef] [PubMed]
[4] Sibai, B.M., Hauth, J., Caritis, S., Lindheimer, M.D., MacPherson, C., Klebanoff, M., et al. (2000) Hypertensive Disorders in Twin versus Singleton Gestations. American Journal of Obstetrics and Gynecology, 182, 938-942. [Google Scholar] [CrossRef] [PubMed]
[5] Whittaker, M., Greatholder, I., Kilby, M.D. and Heazell, A.E.P. (2023) Risk Factors for Adverse Outcomes in Twin Pregnancies: A Narrative Review. The Journal of Maternal-Fetal & Neonatal Medicine, 36, Article ID: 2240467. [Google Scholar] [CrossRef] [PubMed]
[6] Siegler, Y. (2025) Preeclampsia in Twin Pregnancies: Time for Differential Approaches? European Journal of Obstetrics and Gynecology and Reproductive Biology, 292, 112-118.
[7] Wu, H., Yu, L., Xie, Z., Cai, H. and Wen, C. (2024) The Impact of Maternal Serum Biomarkers on Maternal and Neonatal Outcomes in Twin Pregnancies: A Retrospective Cohort Study Conducted at a Tertiary Hospital. PeerJ, 12, e18415. [Google Scholar] [CrossRef] [PubMed]
[8] Magee, L.A., Nicolaides, K.H. and von Dadelszen, P. (2022) Preeclampsia. New England Journal of Medicine, 386, 1817-1832. [Google Scholar] [CrossRef] [PubMed]
[9] Burton, G.J., Redman, C.W., Roberts, J.M. and Moffett, A. (2019) Pre-Eclampsia: Pathophysiology and Clinical Implications. BMJ, 366, l2381. [Google Scholar] [CrossRef] [PubMed]
[10] Bdolah, Y., Lam, C., Rajakumar, A., Shivalingappa, V., Mutter, W., Sachs, B.P., et al. (2008) Twin Pregnancy and the Risk of Preeclampsia: Bigger Placenta or Relative Ischemia? American Journal of Obstetrics and Gynecology, 198, 428.e1-428.e6. [Google Scholar] [CrossRef] [PubMed]
[11] Adank, M.C., Broere-Brown, Z.A., Gonçalves, R., Ikram, M.K., Jaddoe, V.W.V., Steegers, E.A.P., et al. (2020) Maternal Cardiovascular Adaptation to Twin Pregnancy: A Population-Based Prospective Cohort Study. BMC Pregnancy and Childbirth, 20, Article No. 327. [Google Scholar] [CrossRef] [PubMed]
[12] Ghi, T., Dall’Asta, A., Franchi, L., Fieni, S., Gaibazzi, N., Siniscalchi, C., et al. (2018) The Effect of Chorionicity on Maternal Cardiac Adaptation to Uncomplicated Twin Pregnancy: A Prospective Longitudinal Study. Fetal Diagnosis and Therapy, 45, 394-402. [Google Scholar] [CrossRef] [PubMed]
[13] Melchiorre, K. and Thilaganathan, B. (2021) Maternal Cardiac Function in Preeclampsia. Current Opinion in Obstetrics and Gynecology, 33, 367-373.
[14] Ackerman, C. (2023) Placental Transcriptome Analysis in Twin Pregnancies with Preeclampsia. Placenta, 142, 45-53.
[15] Roberts, J.M., Rich-Edwards, J.W., McElrath, T.F., Garmire, L. and Myatt, L. (2021) Subtypes of Preeclampsia: Recognition and Determining Clinical Usefulness. Hypertension, 77, 1430-1441. [Google Scholar] [CrossRef] [PubMed]
[16] Gong, X., He, W., Jin, W., Ma, H., Wang, G., Li, J., et al. (2024) Disruption of Maternal Vascular Remodeling by a Fetal Endoretrovirus-Derived Gene in Preeclampsia. Genome Biology, 25, Article No. 117. [Google Scholar] [CrossRef] [PubMed]
[17] Yang, R., Yuan, X., Zheng, W., Wang, J., Zhang, K., Ma, Y., et al. (2023) Dynamic Changes in Blood Lipid Levels and Their Associations with Hypertensive Disorders of Pregnancy in Twin Pregnancy: A Retrospective Study. Journal of Clinical Lipidology, 17, 765-776. [Google Scholar] [CrossRef] [PubMed]
[18] Song, H.Y., Liu, Z.D. and Qian, N.F. (2018) Clinical Analysis of High Risk Factors for Preeclampsia in Twin Pregnancy. Chinese Journal of Physicians, 20, 976-979. (In Chinese)
[19] Rana, S., Lemoine, E., Granger, J.P. and Karumanchi, S.A. (2019) Preeclampsia: Pathophysiology, Challenges, and Perspectives. Circulation Research, 124, 1094-1112. [Google Scholar] [CrossRef] [PubMed]
[20] Phipps, E.A., Thadhani, R., Benzing, T. and Karumanchi, S.A. (2019) Pre-Eclampsia: Pathogenesis, Novel Diagnostics and Therapies. Nature Reviews Nephrology, 15, 275-289. [Google Scholar] [CrossRef] [PubMed]
[21] Okby, R., Harlev, A., Sacks, K.N., Sergienko, R. and Sheiner, E. (2018) Preeclampsia Acts Differently in in Vitro Fertilization versus Spontaneous Twins. Archives of Gynecology and Obstetrics, 297, 653-658. [Google Scholar] [CrossRef] [PubMed]
[22] Zhao, L., Sun, L., Zheng, X., Liu, J., Zheng, R., Yang, R., et al. (2020) In Vitro Fertilization and Embryo Transfer Alter Human Placental Function through Trophoblasts in Early Pregnancy. Molecular Medicine Reports, 21, 1897-1909. [Google Scholar] [CrossRef] [PubMed]
[23] Campbell, M., Koegl, J., Bone, J.N., Nicolls, S., Lyons, J., Mayer, C., et al. (2025) Differences in Risk Factors for Severe Preeclampsia and HELLP Syndrome in Singleton versus Twin Pregnancies: A Population‐Based Cohort Study. BJOG: An International Journal of Obstetrics & Gynaecology, 0, 1-12. [Google Scholar] [CrossRef
[24] Lu, Y., Li, Q.S., Meng, D.Y., et al. (2024) Development of a Risk Prediction Model for Preeclampsia in Twin Pregnancy. Journal of Preventive Medicine, 36, 283-287. (In Chinese)
[25] Qiao, P., Zhao, Y., Jiang, X., Xu, C., Yang, Y., Bao, Y., et al. (2020) Impact of Growth Discordance in Twins on Preeclampsia Based on Chorionicity. American Journal of Obstetrics and Gynecology, 223, 572.e1-572.e8. [Google Scholar] [CrossRef] [PubMed]
[26] Ohkuchi, A. (2025) Inter-Twin Growth Discordance in Monochorionic Twins as a Novel Risk Factor for Preeclampsia. Hypertension Research, 48, 1024-1026. [Google Scholar] [CrossRef] [PubMed]
[27] Nevo, O., Many, A., Xu, J., Kingdom, J., Piccoli, E., Zamudio, S., et al. (2008) Placental Expression of Soluble Fms-Like Tyrosine Kinase 1 Is Increased in Singletons and Twin Pregnancies with Intrauterine Growth Restriction. The Journal of Clinical Endocrinology & Metabolism, 93, 285-292. [Google Scholar] [CrossRef] [PubMed]
[28] Zhong, Y., Zhu, F. and Ding, Y. (2015) Serum Screening in First Trimester to Predict Pre-Eclampsia, Small for Gestational Age and Preterm Delivery: Systematic Review and Meta-Analysis. BMC Pregnancy and Childbirth, 15, Article No. 191. [Google Scholar] [CrossRef] [PubMed]
[29] Dröge, L., Herraìz, I., Zeisler, H., Schlembach, D., Stepan, H., Küssel, L., et al. (2015) Maternal Serum sFlt-1/PlGF Ratio in Twin Pregnancies with and without Pre‐Eclampsia in Comparison with Singleton Pregnancies. Ultrasound in Obstetrics & Gynecology, 45, 286-293. [Google Scholar] [CrossRef] [PubMed]
[30] Martínez-Varea, A., Martínez-Sáez, C., Domenech, J., Desco-Blay, J., Monfort-Pitarch, S., Hueso, M., et al. (2022) sFlt-1/PlGF Ratio at 24 Weeks Gestation in Twin Pregnancies as a Predictor of Preeclampsia or Fetal Growth Restriction. Fetal Diagnosis and Therapy, 49, 206-214. [Google Scholar] [CrossRef] [PubMed]
[31] Yang, M., Bai, Y., Li, M., Lin, X., Duan, X. and Zhang, X. (2024) Predictive Value of the Soluble Fms-Like Tyrosine Kinase 1 to Placental Growth Factor Ratio for Preeclampsia in Twin Pregnancies: A Systematic Review and Meta-Analysis. American Journal of Obstetrics & Gynecology MFM, 6, Article ID: 101290. [Google Scholar] [CrossRef] [PubMed]
[32] Svirsky, R., Levinsohn-Tavor, O., Feldman, N., Klog, E., Cuckle, H. and Maymon, R. (2016) First-and Second-Trimester Maternal Serum Markers of Pre-Eclampsia in Twin Pregnancy. Ultrasound in Obstetrics & Gynecology, 47, 560-564. [Google Scholar] [CrossRef] [PubMed]
[33] Queirós, A., Gomes, L., Pereira, I., Charepe, N., Plancha, M., Rodrigues, S., et al. (2024) First-Trimester Serum Biomarkers in Twin Pregnancies and Adverse Obstetric Outcomes—A Single Center Cohort Study. Archives of Gynecology and Obstetrics, 310, 315-325. [Google Scholar] [CrossRef] [PubMed]
[34] Svirsky, R., Sharabi‐Nov, A., Maymon, R., Kugler, N., Landau Rabbi, M., Brown, R., et al. (2025) Prediction of Preeclampsia in Twins Using First Trimester: cffDNA fraction, PlGF, and MAP. Prenatal Diagnosis, 45, 968-978. [Google Scholar] [CrossRef] [PubMed]
[35] Kim, Y.R., Jung, I., Heo, S.J., Chang, S.W. and Cho, H.Y. (2021) A Preeclampsia Risk Prediction Model Based on Maternal Characteristics and Serum Markers in Twin Pregnancy. The Journal of Maternal-Fetal & Neonatal Medicine, 34, 3623-3628. [Google Scholar] [CrossRef] [PubMed]
[36] Lu, Y., Li, Q., Meng, D., Mei, L., Ding, Z., Li, W., et al. (2025) Construction and Validation of a Column-Line Diagram Predictive Model for the Development of Preeclampsia in Women with Twin Pregnancies: A Retrospective Study. Medicine, 104, e45407. [Google Scholar] [CrossRef
[37] Springer, S., Polterauer, M., Stammler-Safar, M., Zeisler, H., Leipold, H., Worda, C., et al. (2020) Notching and Pulsatility Index of the Uterine Arteries and Preeclampsia in Twin Pregnancies. Journal of Clinical Medicine, 9, Article No. 2653. [Google Scholar] [CrossRef] [PubMed]
[38] Rizzo, G., Pietrolucci, M.E., Aiello, E., Capponi, A. and Arduini, D. (2014) Uterine Artery Doppler Evaluation in Twin Pregnancies at 11 + 0 to 13 + 6 Weeks of Gestation. Ultrasound in Obstetrics & Gynecology, 44, 557-561. [Google Scholar] [CrossRef] [PubMed]
[39] Chaemsaithong, P., Sahota, D.S. and Poon, L.C. (2022) First Trimester Preeclampsia Screening and Prediction. American Journal of Obstetrics and Gynecology, 226, S1071-S1097.e2. [Google Scholar] [CrossRef] [PubMed]
[40] von Dadelszen, P., Payne, B., Li, J., Ansermino, J.M., Pipkin, F.B., Côté, A., et al. (2011) Prediction of Adverse Maternal Outcomes in Pre-Eclampsia: Development and Validation of the fullPIERS Model. The Lancet, 377, 219-227. [Google Scholar] [CrossRef] [PubMed]
[41] Payne, B.A., Hutcheon, J.A., Ansermino, J.M., Hall, D.R., Bhutta, Z.A., Bhutta, S.Z., et al. (2014) A Risk Prediction Model for the Assessment and Triage of Women with Hypertensive Disorders of Pregnancy in Low-Resourced Settings: The miniPIERS (Pre-Eclampsia Integrated Estimate of Risk) Multi-Country Prospective Cohort Study. PLOS Medicine, 11, e1001589. [Google Scholar] [CrossRef] [PubMed]
[42] Wright, D., Wright, A. and Nicolaides, K.H. (2020) The Competing Risk Approach for Prediction of Preeclampsia. American Journal of Obstetrics and Gynecology, 223, 12-23.e7. [Google Scholar] [CrossRef] [PubMed]
[43] Maymon, R., Trahtenherts, A., Svirsky, R., Melcer, Y., Madar-Shapiro, L., Klog, E., et al. (2016) Developing a New Algorithm for First and Second Trimester Preeclampsia Screening in Twin Pregnancies. Hypertension in Pregnancy, 36, 108-115. [Google Scholar] [CrossRef] [PubMed]
[44] Benkő, Z., Chaveeva, P., de Paco Matallana, C., Zingler, E., Wright, D. and Nicolaides, K.H. (2019) Revised Competing‐risks Model in Screening for Pre‐eclampsia in Twin Pregnancy by Maternal Characteristics and Medical History. Ultrasound in Obstetrics & Gynecology, 54, 617-624. [Google Scholar] [CrossRef] [PubMed]
[45] Benkő, Z., Chaveeva, P., de Paco Matallana, C., Zingler, E., Wright, A., Wright, D., et al. (2019) Validation of Competing‐Risks Model in Screening for Pre‐Eclampsia in Twin Pregnancy by Maternal Factors. Ultrasound in Obstetrics & Gynecology, 53, 649-654. [Google Scholar] [CrossRef] [PubMed]
[46] Chen, J., Zhao, D., Liu, Y., Zhou, J., Zou, G., Zhang, Y., et al. (2020) Screening for Preeclampsia in Low‐Risk Twin Pregnancies at Early Gestation. Acta Obstetricia et Gynecologica Scandinavica, 99, 1346-1353. [Google Scholar] [CrossRef] [PubMed]
[47] Tan, M.Y., Syngelaki, A., Poon, L.C., Rolnik, D.L., O’Gorman, N., Delgado, J.L., et al. (2018) Screening for Pre‐Eclampsia by Maternal Factors and Biomarkers at 11-13 Weeks’ Gestation. Ultrasound in Obstetrics & Gynecology, 52, 186-195. [Google Scholar] [CrossRef] [PubMed]
[48] Fan, B.Y. and Hu, L.Y. (2024) Research Advancements on the Pathogenesis and Prediction Approaches of Twin Pregnancies Complicated with Preeclampsia. Journal of International Obstetrics and Gynecology, 51, 611-615. (In Chinese)
[49] Roman, A., Saltzman, D., Hourizadeh, T., Hastings, J., Rebarber, A. and Fox, N. (2013) Risk Factors for Preeclampsia in Twin Pregnancies. American Journal of Perinatology, 31, 163-166. [Google Scholar] [CrossRef] [PubMed]
[50] Collins, G.S., Reitsma, J.B., Altman, D.G. and Moons, K.G.M. (2015) Transparent Reporting of a Multivariable Prediction Model for Individual Prognosis or Diagnosis (TRIPOD): The TRIPOD Statement. Circulation, 131, 211-219. [Google Scholar] [CrossRef] [PubMed]
[51] von Elm, E., Altman, D.G., Egger, M., Pocock, S.J., Gøtzsche, P.C. and Vandenbroucke, J.P. (2007) The Strengthening the Reporting of Observational Studies in Epidemiology (STROBE) Statement: Guidelines for Reporting Observational Studies. The Lancet, 370, 1453-1457. [Google Scholar] [CrossRef] [PubMed]
[52] Riley, R.D., Ensor, J., Snell, K.I.E., Harrell, F.E., Martin, G.P., Reitsma, J.B., et al. (2020) Calculating the Sample Size Required for Developing a Clinical Prediction Model. BMJ, 368, m441. [Google Scholar] [CrossRef] [PubMed]
[53] Meiri, H., Bevilacqua, E., Kugler, N., Michelson, T., Sharabi-Nov, A., Svirsky, R., et al. (2026) Preeclampsia Prediction by Machine Learning in Twin Pregnancies. Fetal Diagnosis and Therapy, 1-13. [Google Scholar] [CrossRef
[54] Rolnik, D.L., Wright, D., Poon, L.C., O’Gorman, N., Syngelaki, A., de Paco Matallana, C., et al. (2017) Aspirin versus Placebo in Pregnancies at High Risk for Preterm Preeclampsia. New England Journal of Medicine, 377, 613-622. [Google Scholar] [CrossRef] [PubMed]