目的 探讨血清中抗磷脂抗体（aPL）（ACA-IgG、ACA-IgM、β2-GPI-IgG、β2-GPI-IgM）、LAC、ds-DNA、ANA的水平与先兆早产的相关性，结合年龄、孕周、生产史、流产史对先兆早产进行预测分析，为先兆早产的防治提供参考，促进优生优育。 方法 通过回顾性研究设计，收集2018年6月至2020年12月在广东省人民医院诊疗的先兆早产孕妇43例为病例组，随机选取同一时期且孕龄相近的健康孕妇47例为对照组。采用酶免仪酶联免疫吸附试验（ELISA）检测aPL（ACA-IgG、ACA-IgM、β2-GPI-IgG、β2-GPI-IgM）、ds-DNA等指标，采用凝血仪检测血浆中的狼疮抗凝物（LAC），采用免疫荧光分析仪间接免疫荧光法检测ANA，应用SPSS 24.0软件对一般资料及实验室检测数据进行统计学分析。结合患者年龄、孕周、生产史、流产史等一般资料，进行logistic回归分析，寻找先兆早产相关独立影响因素；采用受试者工作特征曲线（ROC曲线）进行分析，确定ROC曲线下面积（AUC）、最佳预测值、灵敏度、特异度，对先兆早产进行预测价值分析。 结果 病例组孕妇年龄27 ~ 40岁，平均（29.93 ± 3.91）岁，采血检测时孕周27 ~ 36周，平均（31.96 ± 2.35）周；对照组孕妇年龄25 ~ 40岁，平均（30.74 ± 3.44）岁，采血检测时孕周28 ~ 36周，平均（32.84 ± 2.13）周。病例组孕妇β2-GPI-IgM水平明显高于对照组孕妇，差异有统计学意义（P < 0.05），而两组β2-GPI-IgG、ds-DNA、LAC水平差异无统计学意义（P > 0.05）。ROC曲线分析显示β2-GPI-IgM AUC为0.642（P < 0.05），是先兆早产的独立影响因素；年龄、孕周、生产史、流产史均不能作为先兆早产的独立影响因素。 结论 β2-GPI-IgM与先兆早产相关，可作为先兆早产的预测指标，在孕妇先兆早产监测中具有临床实用价值。

Objective To investigate the correlation between serum levels of antiphospholipid antibody （aPL） （ACA-IgG， ACA-IgM， β2-GPI-IgG， β2-GPI-IgM）， LAC， ds-DNA， and ANA and preterm labor with prematurity， and to analyze the prediction of preterm labor with the combination of age， week of gestation， history of delivery， and history of miscarriage， so as to provide references for the prevention and treatment of preterm labor and to promote eugenics. Methods Through a retrospective study design， 43 pregnant women with preterm labor with preeclampsia diagnosed and treated at Guangdong Provincial People's Hospital from June 2018 to December 2020 were collected as a case group， and 47 healthy pregnant women of the same period and similar gestational age were randomly selected as a control group. aPL （ACA-IgG， ACA-IgM， β2-GPI-IgG， β2-GPI-IgM） and ds-DNA were detected by enzyme immunoassay （ELISA） using an enzyme immunoassay instrument， lupus anticoagulant （LAC） in plasma was detected by coagulometer， and ANA was detected by indirect immunofluorescence using an immunofluorescence analyzer， and the application of SPSS 24.0 software was used to statistically analyze the general information and laboratory test data. the age of the patients was combined， gestational week， birth history， miscarriage history and other general information， logistic regression analysis was performed to find the independent influencing factors related to preterm labor； the analysis was performed by using the subjects' work characteristic curve （ROC curve） to determine the area under the ROC curve （AUC）， the best predictive value， sensitivity and specificity， and to analyze the predictive value of preterm labor with preterm labor. Results In this study， the pregnant women in the group of pregnant women with preterm labor with preeclampsia were aged 27 ~ 40 years， with a mean age of （29.93 ± 3.91） years， and the gestational weeks at the time of blood collection were 27-36 weeks， with a mean gestational week of （31.96 ± 2.35） weeks， while the pregnant women in the healthy control group during the same time period were aged 25 ~ 40 years， with a mean age of （30.74 ± 3.44） years， and the gestational weeks at the time of blood collection were 28 ~ 36 weeks， with a mean gestational week of （32.84 ± 2.13） weeks. In the same period， healthy control group pregnant women were aged 25 ~ 40 years， with a mean age of （30.74 ± 3.44） years， and were 28 ~ 36 weeks pregnant at the time of blood collection. The β2-GPI-IgM level of pregnant women in the case group with preterm labor was significantly higher than that of pregnant women in the healthy control group at the same time， with statistically significant differences （P < 0.05）， while the differences in the levels of β2-GPI-IgG， ds-DNA， and LAC between the two groups were not statistically significant （P > 0.05）.The analysis of the ROC curves showed that the AUC of β2-GPI-IgM was 0.642 （P < 0.05）， which was the highest in the preterm group， and the AUC was 0.642 （P < 0.05）. 0.05）， which was an independent influencing factor of preterm labor； age， gestational week， labor history， and miscarriage history could not be used as independent influencing factors of preterm labor. Conclusion β2-GPI-IgM is associated with threatened preterm labor，it can be used as a predictor of threatened preterm labor，and has clinical utility in the monitoring of threatened preterm labor in pregnant women.