Abstract

Link of Video Abstract: https://youtu.be/XmIf_eavZto   Background: Endometriosis is a disease that causes recurrent chronic pain related to menstruation in around 10% of women of reproductive age. However, current non-invasive diagnostic tools are not sufficiently good at detecting endometriosis. Anogenital Distance (AGD) is a new measurement parameter that is non-invasive and proven to be used to help detect endometriosis. This study aims to assess the ability of AGD in detecting endometriosis. Methods: This study is a diagnostic test study involving 35 endometriosis patients and 35 controls by comparing the clinical characteristics of the patients and the length of AGD-AF and AGD-AC for both groups. Data were analyzed using SPSS version 22.0 for Windows. Results: The median AGD-AF length in endometriosis patients and controls were 22.65 + 6.54 and 29.53 + 3.52 (p<0.001) respectively, with AGD-AC lengths being 68.04 + 5.8 and 66.81 + 5.49 (p=0.369). In the multivariate logistic regression test, AGD-AF length was a single significant predictor (p <0.001). Based on the ROC curve, the length of AGD-AF with a cut-off of 23.35 mm has a sensitivity and specificity value of 97.1% and 65.7%. Conclusion: This study states that there is a correlation between AGD and endometriosis, especially AGD-AF, so it can be used as one of the predictors to help detect endometriosis.

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