文章摘要
黄宁君,熊菊香,莫鸿英,李璐,段 馨.血清SAA、TSP-1、FA与不明原因复发性流产发病的关系及联合检测的预测价值研究[J].,2022,(7):1391-1395
血清SAA、TSP-1、FA与不明原因复发性流产发病的关系及联合检测的预测价值研究
Relationship between Serum SAA, TSP-1, FA and Unexplained Recurrent Spontaneous Abortion and the Predictive Value of Combined Detection
投稿时间:2021-10-06  修订日期:2021-10-31
DOI:10.13241/j.cnki.pmb.2022.07.041
中文关键词: 不明原因复发性流产  淀粉样蛋白A、血小板反应蛋白-1  叶酸  预测价值
英文关键词: Unexplained recurrent spontaneous abortion  Amyloid A  Thrombospondin-1  Folic acid  Predictive value
基金项目:湖南省自然科学基金项目(2017JJ2288)
作者单位E-mail
黄宁君 湖南师范大学附属长沙市妇幼保健院妇产科 湖南 长沙 410007 huangnj1017@163.com 
熊菊香 湖南师范大学附属长沙市妇幼保健院妇科 湖南 长沙 410007  
莫鸿英 湖南师范大学附属长沙市妇幼保健院妇产科 湖南 长沙 410007  
李璐 湖南师范大学附属长沙市妇幼保健院妇产科 湖南 长沙 410007  
段 馨 湖南师范大学附属长沙市妇幼保健院妇产科 湖南 长沙 410007  
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中文摘要:
      摘要 目的:探讨血清淀粉样蛋白A(SAA)、血小板反应蛋白-1(TSP-1)、叶酸(FA)与不明原因复发性流产(URSA)发病的关系,分析联合SAA、TSP-1、FA检测对URSA发生的预测价值。方法:选取2019年1月至2021年1月我院妇产科收治的80例URSA患者(URSA组)和同期于我院产科产检的102例正常妊娠孕妇(对照组),检测血清SAA、TSP-1、FA水平,收集临床相关资料,采用多因素Logistic回归分析URSA发生的影响因素,采用受试者工作特征曲线(ROC)分析血清SAA、TSP-1、FA联合对URSA发生的预测价值。结果:URSA组血清SAA、TSP-1水平高于对照组,FA水平低于对照组(P<0.05)。URSA组年龄≥35岁、有吸烟史、饮酒史、初中及以下文化程度、生殖道感染的比例高于对照组(P<0.05);两组间体质量指数、URSA家族遗传史、职业的比例差异无统计学意义(P>0.05)。多因素Logistic回归分析结果显示:有吸烟史、饮酒史、生殖道感染以及血清SAA、TSP-1水平较高是URSA发生的危险因素,而FA水平较高是URSA发生的保护因素(P<0.05)。ROC曲线分析结果显示:血清SAA、TSP-1、FA预测URSA发生的曲线下面积分别为0.744、0.719、0.670,而三项指标联合检测预测URSA发生的曲线下面积为0.872,明显高于各指标单独检测。结论:URSA患者血清SAA、TSP-1水平增高,FA水平降低,且与URSA的发生有关,联合检测血清SAA、TSP-1和FA对URSA的发生具有一定预测价值。
英文摘要:
      ABSTRACT Objective: ABSTRACT Objective: To investigate the relationship between serum amyloid A (SAA), thrombospondin-1 (TSP-1), folic acid (FA) and unexplained recurrent spontaneous abortion (URSA), and to analyze the value of combined detection of SAA, TSP-1, FA in predicting URSA. Methods: 80 URSA patients (URSA group) who were admitted to the department of Obstetrics and Gynecology of our hospital from January 2019 to January 2021 and 102 normal pregnant women (control group) during the same period were selected. Serum SAA, TSP-1 and FA levels were detected, and clinical data were collected. Multivariate Logistic regression was used to analyze the influencing factors of URSA, and receiver operating characteristic curve (ROC) was used to analyze the predictive value of serum SAA, TSP-1 and FA on the occurrence of URSA. Results: Serum SAA and TSP-1 in URSA group were higher than those in control group (P<0.05), FA level was lower than that in control group (P<0.05). In URSA group, the proportion of age ≥35 years old, smoking history, drinking history, junior high school education and reproductive tract infection were higher than those in control group (P<0.05). There were no significant differences in body mass index, URSA family genetic history and occupation between the two groups (P>0.05). Multivariate Logistic regression analysis results show that:Smoking, drinking, reproductive tract infection, SAA and TSP-1 were risk factors for URSA (P<0.05), FA was a protective factor for URSA (P<0.05). ROC curve analysis results show that: the area under the curve predicted by SAA, TSP-1 and FA was 0.744, 0.719 and 0.670, and the area under the curve predicted by SAA, TSP-1 and FA was 0.872, which was higher than that predicted by alone (P<0.05). Conclusion: The serum levels of SAA and TSP-1 in URSA patients are increased, while FA is decreased, which is related to the occurrence of URSA. The combination of SAA, TSP-1 and FA has certain value in the prediction of URSA.
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