Department of Obstetrics and Gynaecology, Norfolk and Norwich University Hospital NHS Foundation Trust, UK.
Br J Cancer. 2010 Apr 13;102(8):1201-6. doi: 10.1038/sj.bjc.6605620. Epub 2010 Mar 30.
This study aimed to show the longitudinal use of routinely collected clinical data from history and ultrasound evaluation of the endometrium in developing an algorithm to predict the risk of endometrial carcinoma for postmenopausal women presenting with vaginal bleeding.
This prospective study collected data from 3047 women presenting with postmenopausal bleeding. Data regarding the presence of risk factors for endometrial cancer was collected and univariate and multivariate analyses were performed.
Age distribution ranged from 35 to 97 years with a median of 59 years. A total of 149 women (5% of total) were diagnosed with endometrial carcinoma. Women in the endometrial cancer group were significantly more likely to be older, have higher BMI, recurrent episodes of bleeding, diabetes, hypertension, or a previous history of breast cancer. An investigator best model selection approach was used to select the best predictors of cancer, and using logistic regression analysis we created a model, 'Norwich DEFAB', which is a clinical prediction rule for endometrial cancer. The calculated Norwich DEFAB score can vary from a value of 0 to 9. A Norwich DEFAB value equal to or greater than 3 has a positive predictive value (PPV) of 7.78% and negative predictive value (NPV) of 98.2%, whereas a score equal to or greater than 5 has a PPV of 11.9% and NPV of 97.8%.
The combination of clinical information with our investigation tool for women with postmenopausal vaginal bleeding allows the clinician to calculate a predicted risk of endometrial malignancy and prioritise subsequent clinical investigations.
本研究旨在展示通过常规收集的病史和子宫内膜超声评估的纵向临床数据,开发一种预测绝经后阴道出血妇女患子宫内膜癌风险的算法。
本前瞻性研究收集了 3047 例绝经后出血妇女的数据。收集了与子宫内膜癌风险因素相关的数据,并进行了单因素和多因素分析。
年龄分布范围为 35 至 97 岁,中位数为 59 岁。共有 149 名妇女(占总人数的 5%)被诊断为子宫内膜癌。癌症组的妇女明显更年长、BMI 更高、反复出现出血、患有糖尿病、高血压或有乳腺癌病史。使用研究者最佳模型选择方法选择癌症的最佳预测因子,通过逻辑回归分析,我们创建了一个名为“诺威奇 DEFAB”的模型,这是一种子宫内膜癌的临床预测规则。计算得出的诺威奇 DEFAB 评分可从 0 到 9 不等。诺威奇 DEFAB 值等于或大于 3 时,阳性预测值(PPV)为 7.78%,阴性预测值(NPV)为 98.2%,而评分等于或大于 5 时,PPV 为 11.9%,NPV 为 97.8%。
将临床信息与我们用于绝经后阴道出血妇女的调查工具相结合,使临床医生能够计算出子宫内膜恶性肿瘤的预测风险,并优先进行后续的临床检查。