子宫内膜异位症经血中转化生长因子-β1 (TGF-β1) 的诊断测试。

IF 1.6 Q3 OBSTETRICS & GYNECOLOGY Obstetrics and Gynecology International Pub Date : 2023-12-11 eCollection Date: 2023-01-01 DOI:10.1155/2023/9970818
Kemas Yusuf Effendi, Excellena Nasrul, Iskandar Zulqarnain, Theodorus, Rizani Amran, Heriyadi Manan, Adnan Abadi, Fatimah Usman, Cindy Kesty
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引用次数: 0

摘要

背景:子宫内膜异位症是一种良性疾病:子宫内膜异位症是一种良性疾病,一般是指子宫内膜腺体和基质出现在其正常位置之外。TGF-β1存在于基质细胞中,在子宫内膜异位囊肿的上皮细胞中表达增加。子宫内膜异位症的诊断需要很长时间,因此需要新的标记物来诊断子宫内膜异位症。本研究旨在确定经血中的 TGF-β1 在诊断子宫内膜异位症中的诊断价值:方法:2019 年 7 月至 2020 年 11 月,在巴伦邦斯里维加亚大学医学院 Mohammad Hoesin 博士综合医院妇产科对疑似子宫内膜异位症患者经血中的异位子宫内膜 TGF-β1 水平进行诊断性检测比较。50名疑似子宫内膜异位症患者符合纳入标准。子宫内膜异位症患者与非子宫内膜异位症患者的 TGF-β1 水平比较采用 Mann-Whitney 检验法进行分析。利用 ROC 曲线得出 TGF-β1 水平与组织病理学结果的临界点。数据分析采用 SPSS 22.0 版:本研究中,子宫内膜异位症患者的年龄为(31.6±6.55)岁,范围在 20 至 46 岁之间。在统计分析中,子宫内膜异位症患者与非子宫内膜异位症患者在体重指数(P = 0.181)和体重指数分类(P = 0.207)、避孕史(P = 0.097)、不孕症(P = 1.000)和痛经(P = 1.000)方面没有差异。在研究中,子宫内膜异位症和非子宫内膜异位症患者的 TGF-β1 存在差异(p ≤ 0.001)。根据 ROC 曲线,TGF-β1 水平的临界点具有最佳的灵敏度和特异性,即 515 ng/ml。TGF-β1水平对子宫内膜异位症结果的敏感性为80%,特异性为90%,阳性预测值(PPV)为0.969,阴性预测值(NPV)为0.529,阳性似然比为8,阴性似然比为0.222,准确性为0.820:结论:TGF-β1水平在子宫内膜异位症诊断中具有很好的诊断价值。该试验已在 ISRCTN72218532 上注册。
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Diagnostic Test of Transforming Growth Factor-Beta 1 (TGF-β1) in Menstrual Blood with Endometriosis.

Background: Endometriosis is a benign disorder that is generally defined as the presence of endometrial glands and stroma outside their normal location. TGF-β1 is found in stromal cells and its expression is increased in epithelial cells of endometriotic cysts. Endometriosis diagnostics take a long time, so new markers are needed to diagnose endometriosis. This study aims to determine the diagnostic value of TGF-β1 in menstrual blood in diagnosing endometriosis.

Method: Diagnostic tests to compare eutopic endometrial TGF-β1 levels from menstrual blood of patients with suspected endometriosis were undertaken in the Obstetrics and Gynecology Department of Dr. Mohammad Hoesin General Hospital, Faculty of Medicine, Sriwijaya University, Palembang, from July 2019 to November 2020. 50 patients who were suspected with endometriosis met the inclusion criteria. Comparison of TGF-β1 levels between endometriosis and nonendometriosis patients was analyzed using the Mann-Whitney test. The cutoff point of the TGF-β1 level towards the histopathological outcome was obtained using the ROC curve. Data analysis was performed by using SPSS version 22.0.

Results: In this study, endometriosis patients were 31.6 ± 6.55 years of age with a range of 20 to 46 years. In statistical analysis, there was no difference in BMI (p = 0.181) and BMI classification (p = 0.207), the history of contraception (p = 0.097), infertility (p = 1.000), and dysmenorrhoea (p = 1.000) between endometriosis and nonendometriosis patients. In the study, there were differences in TGF-β1 between endometriosis and nonendometriosis patients (p ≤ 0.001). By using the ROC curve, the cutoff point for TGF-β1 levels has the best sensitivity and specificity, which is 515 ng/ml. The TGF-β1 level has a sensitivity of 80%, a specificity of 90%, a positive predictive value (PPV) of 0.969, a negative predictive value (NPV) of 0.529, a positive likelihood ratio of 8, a negative likelihood ratio of 0.222, and an accuracy of 0.820 to the endometriosis outcome.

Conclusion: It can be concluded that the TGF-β1 level has a very good diagnostic value in establishing endometriosis diagnostics. This trial is registered with ISRCTN72218532.

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来源期刊
Obstetrics and Gynecology International
Obstetrics and Gynecology International OBSTETRICS & GYNECOLOGY-
CiteScore
3.60
自引率
0.00%
发文量
26
审稿时长
19 weeks
期刊介绍: Obstetrics and Gynecology International is a peer-reviewed, Open Access journal that aims to provide a forum for scientists and clinical professionals working in obstetrics and gynecology. The journal publishes original research articles, review articles, and clinical studies related to obstetrics, maternal-fetal medicine, general gynecology, gynecologic oncology, uro-gynecology, reproductive medicine and infertility, reproductive endocrinology, and sexual medicine.
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