亲爱的研友该休息了!由于当前在线用户较少,发布求助请尽量完整地填写文献信息,科研通机器人24小时在线,伴您度过漫漫科研夜!身体可是革命的本钱,早点休息,好梦!

Association Between Novel Antiphospholipid Antibodies and Adverse Pregnancy Outcomes

狼疮抗凝剂 医学 抗磷脂综合征 怀孕 子痫前期 妊娠期 产科 内科学 接收机工作特性 前瞻性队列研究 免疫学 抗体 遗传学 生物
作者
Kimberly Moyle,D. Ware Branch,Lisa K. Peterson,Marta Guerra,Amanda A. Allshouse,Ashley E. Benson,Jane E. Salmon
出处
期刊:Obstetrics & Gynecology [Lippincott Williams & Wilkins]
卷期号:145 (1): 55-64
标识
DOI:10.1097/aog.0000000000005729
摘要

OBJECTIVE: To investigate the value of anti-β2 glycoprotein-I domain 1 (aD1) and antiphosphatidylserine–prothrombin antibodies for predicting adverse pregnancy outcomes in an at-risk population and to describe the relationship among aD1, antiphosphatidylserine–prothrombin, lupus anticoagulant, and other antiphospholipid antibodies (aPL). METHODS: Data were obtained from a prospective cohort of pregnant patients with aPL, with systemic lupus erythematosus (SLE) (n=59) or without SLE (n=106), or SLE without aPL (n=100) (PROMISSE [Predictors of Pregnancy Outcome in Systemic Lupus Erythematosus and Antiphospholipid Syndrome] study; NCT00198068). Levels of aD1 and antiphosphatidylserine–prothrombin were quantified with the QUANTA Flash and QUANTA Lite systems, respectively, in sera collected at less than 18 weeks of gestation. Adverse pregnancy outcome was defined as delivery at before 34 weeks of gestation for preeclampsia or placental insufficiency or fetal death after 12 weeks of gestation. Receiver operating characteristic (ROC) analysis assessed the diagnostic properties of aD1 and antiphosphatidylserine–prothrombin for adverse pregnancy outcomes. Bivariate comparisons were made between each biomarker. Multivariable regression modeling of adverse pregnancy outcomes was performed, and backward selection determined variables for a final model for adverse pregnancy outcomes. Logistic regression of lupus anticoagulant quantified the association with aD1 and antiphosphatidylserine–prothrombin. The rate of adverse pregnancy outcomes was described by combined results of lupus anticoagulant, aD1, and antiphosphatidylserine–prothrombin immunoglobulin G (IgG). RESULTS: Of 265 individuals, 45 (17.0%) experienced adverse pregnancy outcomes. Area under the curve from ROC analysis for aD1 was 0.734 (95% CI, 0.664–0.805), for antiphosphatidylserine–prothrombin IgG was 0.83 (95% CI, 0.751–0.899), and for antiphosphatidylserine–prothrombin immunoglobulin M (IgM) was 0.612 (95% CI, 0.520–0.703). Markers associated with adverse pregnancy outcomes were aD1 ( P <.001), anticardiolipin IgG ( P <.001), β2-glycoprotein I IgG ( P =.003), antiphosphatidylserine–prothrombin IgG ( P <.001), antiphosphatidylserine–prothrombin IgM ( P =.03), and lupus anticoagulant ( P <.001). Backward selection identified lupus anticoagulant, aD1, and antiphosphatidylserine–prothrombin IgG for final adverse pregnancy outcome modeling: lupus anticoagulant odds ratio (OR) 7.0 (95% CI, 3.4–14.4), aD1 OR 12.1 (95% CI, 3.64–40.2), and antiphosphatidylserine–prothrombin IgG OR 11.4 (95% CI, 5.2–25.2). Both aD1 and antiphosphatidylserine–prothrombin IgG remained significant when lupus anticoagulant was removed from the model. Both aD1 and antiphosphatidylserine–prothrombin IgG performed the best in ruling in adverse pregnancy outcomes. With a likelihood ratio less than 0.1, aD1 or antiphosphatidylserine–prothrombin IgG performed well for ruling out adverse pregnancy outcomes. Both aD1 and antiphosphatidylserine–prothrombin IgG were associated with lupus anticoagulant positivity: OR 27.9 (95% CI, 12.1–64.0) if both were positive. Adverse pregnancy outcomes were highest in those with positive lupus anticoagulant, aD1, and antiphosphatidylserine–prothrombin IgG (47.6%). CONCLUSION: In pregnant individuals with aPL, with or without SLE, aD1 and antiphosphatidylserine–prothrombin IgG are significant independent predictors of adverse pregnancy outcomes and are strongly associated with lupus anticoagulant. Combined use may identify patients at greatest risk for severe obstetric complications.
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
更新
PDF的下载单位、IP信息已删除 (2025-6-4)

科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
北侨完成签到,获得积分10
2秒前
5秒前
章鱼完成签到,获得积分10
9秒前
Gloria发布了新的文献求助10
9秒前
czz014完成签到,获得积分10
17秒前
老芋头完成签到,获得积分10
20秒前
Gaopkid发布了新的文献求助10
20秒前
22秒前
两袖清风完成签到 ,获得积分10
26秒前
潇湘发布了新的文献求助10
28秒前
30秒前
RE完成签到 ,获得积分10
30秒前
龍咳发布了新的文献求助10
35秒前
李健应助Gloria采纳,获得10
36秒前
37秒前
pipi发布了新的文献求助10
45秒前
54秒前
54秒前
55秒前
55秒前
55秒前
55秒前
56秒前
56秒前
56秒前
56秒前
57秒前
57秒前
57秒前
57秒前
57秒前
58秒前
58秒前
59秒前
外向春天完成签到 ,获得积分10
1分钟前
1分钟前
1分钟前
1分钟前
1分钟前
1分钟前
高分求助中
(禁止应助)【重要!!请各位详细阅读】【科研通的精品贴汇总】 10000
Diagnostic Imaging: Pediatric Neuroradiology 2000
Semantics for Latin: An Introduction 1099
Biology of the Indian Stingless Bee: Tetragonula iridipennis Smith 1000
Robot-supported joining of reinforcement textiles with one-sided sewing heads 720
Battery Management Systems, Volume lll: Physics-Based Methods 550
Corpus Linguistics for Language Learning Research 300
热门求助领域 (近24小时)
化学 材料科学 医学 生物 工程类 有机化学 生物化学 物理 内科学 纳米技术 计算机科学 化学工程 复合材料 遗传学 基因 物理化学 催化作用 冶金 细胞生物学 免疫学
热门帖子
关注 科研通微信公众号,转发送积分 4136028
求助须知:如何正确求助?哪些是违规求助? 3672730
关于积分的说明 11611346
捐赠科研通 3368235
什么是DOI,文献DOI怎么找? 1850334
邀请新用户注册赠送积分活动 913772
科研通“疑难数据库(出版商)”最低求助积分说明 828910