子宫异常出血妇女子宫内膜癌前/恶性病变的危险因素及治疗策略:一项回顾性队列研究

Anıl Erturk
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引用次数: 0

摘要

背景/目的:女性子宫异常出血(AUB)通常可归因于一系列潜在因素,包括子宫内膜癌前病变和恶性病变。然而,尽管这些病变的普遍性和潜在的严重性,导致其发展的具体危险因素尚未得到充分解释。本研究旨在探讨与这些病变相关的危险因素,并阐明相应的管理策略,填补我们对AUB潜在原因的理解的关键空白。方法:本回顾性队列研究在2018年7月至2022年1月期间在妇科诊所接受子宫内膜活检的AUB女性中进行。我们记录了患者的人口学和临床特征、超声检查结果和子宫内膜活检的组织病理学结果。本研究排除了30岁以下的患者、孕妇、活检结果来自其他中心的患者、诊断为子宫内膜癌以外的癌症患者、子宫内膜活检不充分的病例和数据缺失的患者。根据组织病理学结果,将纳入的患者分为两组:良性和癌前/恶性,随后使用临床人口学结果进行比较。进行Logistic回归分析以确定癌前/恶性子宫内膜病变的重要危险因素。我们通过受试者工作特征(ROC)分析来评估子宫内膜厚度(ET)对癌前/恶性病变的预测能力。结果:共分析391例患者,平均年龄50.9(7.7)岁。其中,89.3% (n=349)为良性,10.7% (n=42)为癌前/恶性病变。癌前/恶性组的年龄和BMI均高于良性组(55.83[10.55]比50.3 [7.6],P<0.001; 29.17[3.40]比27.73 [3.67],P=0.018)。Logistic回归分析发现,年龄、BMI和ET是与癌前/恶性子宫内膜病变相关的重要危险因素。使用ET预测癌前/恶性病变的ROC分析结果显示,绝经前妇女的截值为10.5 mm(敏感性62.5%,特异性58.7%,AUC [95% CI]: 0.688 [0.56-0.80], P =0.012),绝经后妇女的截值为8.5 mm(敏感性88.5%,特异性70.2%,AUC [95% CI]: 0.854 [0.78-0.92];P < 0.001)。结论:总之,我们的研究结果揭示了年龄、BMI、ET和绝经状态在AUB患者定制管理策略中的关键作用,强调了个性化方法在加强患者护理中的重要性。然而,明确的结论需要多中心前瞻性调查,以在更大的人群中验证这些发现。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Exploring risk factors and management strategies for endometrial premalignant/malignant lesions in women with abnormal uterine bleeding: A retrospective cohort study
Background/Aim: Abnormal uterine bleeding (AUB) in women can often be attributed to a range of underlying factors, including endometrial premalignant and malignant lesions. However, despite the prevalence and potential severity of these lesions, the specific risk factors contributing to their development have not been fully explained. This study aims to explore the risk factors linked to these lesions and to elucidate the corresponding management strategies, filling a crucial gap in our understanding of the underlying causes of AUB. Methods: This retrospective cohort study was conducted among women presenting with AUB and undergoing endometrial biopsy at a gynecology clinic between July 2018 and January 2022. We recorded patients' demographic and clinical characteristics, ultrasonographic findings, and histopathological results of endometrial biopsies. Excluded from the study were patients under 30 years old, pregnant women, those with biopsy results from another center, individuals diagnosed with cancers other than endometrial cancer, cases of insufficient endometrial biopsies, and patients with missing data. The included patients were categorized into two groups: benign and premalignant/malignant, based on histopathological results, and subsequently compared using clinicodemographic findings. Logistic regression analysis was conducted to identify significant risk factors for premalignant/malignant endometrial lesions. We assessed the predictive capacity of endometrial thickness (ET) for premalignant/malignant lesions through receiver operating characteristic (ROC) analysis. Results: A total of 391 patients were analyzed, with a mean age of 50.9 (7.7) years. Among these patients, 89.3% (n=349) were classified as benign, while 10.7% (n=42) exhibited premalignant/malignant lesions. The premalignant/malignant group displayed higher age and BMI compared to the benign group (55.83 [10.55] vs 50.3 [7.6], P<0.001 and 29.17 [3.40] vs 27.73 [3.67], P=0.018, respectively). Logistic regression analysis identified age, BMI, and ET as significant risk factors associated with premalignant/malignant endometrial lesions. ROC analysis for predicting premalignant/malignant lesions using ET yielded cut-off values of 10.5 mm for premenopausal women (sensitivity 62.5%, specificity 58.7%, AUC [95% CI]: 0.688 [0.56-0.80], P =0.012) and 8.5 mm for postmenopausal women (sensitivity 88.5%, specificity 70.2%, AUC [95% CI]: 0.854 [0.78-0.92]; P<0.001). Conclusion: In summary, our findings shed light on the pivotal role of age, BMI, ET, and menopausal status in tailoring management strategies for patients with AUB, underscoring the importance of individualized approaches in enhancing patient care. However, definitive conclusions warrant multi-center prospective investigations to validate these findings in a larger population.
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