RISK FACTORS OF ENDOMETRIOSIS-ASSOCIATED INFERTILITY AND A COMPUTER PROGRAM FOR PREOPERATIVE DIAGNOSIS OF ENDOMETRIOSIS IN INFERTILITY

Лариса Николаевна Данилова, Н. В. Артымук
In: Mother and Baby in Kuzbass; № 3 (2020): сентябрь; 61-66 · 2020 · W4407050036
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This study identified chronic pelvic pain, age, and gynecological diseases as significant risk factors for endometriosis-associated infertility and developed a computer program with 81.5% sensitivity for its preoperative diagnosis.

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This study analyzed clinical and genetic data from 300 women to identify risk factors for infertility caused by endometriosis and develop a preoperative diagnostic tool. Binary logistic regression revealed that chronic pelvic pain, age, concomitant gynecological diseases, urban residence, dyspareunia, abnormal uterine bleeding, early sexual debut, and prior salpingectomy were significant predictors. The authors utilized these variables to create a computer program with 81.5% sensitivity, 71.4% specificity, and a 91.2% predictive probability for diagnosing endometriosis in infertile patients. This paper is centrally about endometriosis — specifically the identification of risk factors and the development of a diagnostic algorithm for endometriosis-associated infertility.

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Abstract

The aim was to assess risk factors for endometriosis-associated infertility and to create a computer program for preoperative diagnosis of endometriosis in infertile patients. Materials and methods. Clinical-anamnestic and molecular-genetic characteristics of 150 patients with endometriosis-associated infertility and 150 patients with tubal-peritoneal infertility were studied. All patients included in the study underwent clinical and genetic examination. The most significant risk factors were selected using binary logistic regression. A computer program was created based on these data. Results. The most significant factors in the preoperative diagnosis of endometriosis in infertile patients were chronic pelvic pain (χ2 = 21.677, p <0.001), age (χ2 = 14.172, p <0.001) and concomitant gynecological diseases (χ2 = 11.185, p = 0.001) , living in the city (χ2 = 6.788, p = 0.009), the presence of dyspareuria (χ2 = 6.954, p = 0.008), AUB (χ2 = 3.848, p = 0.050), the age of sexual debut (χ2 = 4.271, p = 0.039), a history of salpingectomy (χ2 = 1.126, p = 0.04). Based on the data obtained with the use of logistic regression and ROC-analysis, a computer program «Preoperative diagnosis of endometriosis in infertile patients» was create, which has a sensitivity of 81.5 %, specificity of 71.4 %, and a predictive probability of 91.2 %. Conclusion. Thus, the results of the study made it possible to identify the main risk factors for endometriosis-associated infertility and to create a computer program for the preoperative diagnosis of endometriosis, which has a high prognostic value.
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Abstract

The aim was to assess risk factors for endometriosis-associated infertility and to create a computer program for preoperative diagnosis of endometriosis in infertile patients.

Materials

and methods. Clinical-anamnestic and molecular-genetic characteristics of 150 patients with endometriosis-associated infertility and 150 patients with tubal-peritoneal infertility were studied. All patients included in the study underwent clinical and genetic examination. The most significant risk factors were selected using binary logistic regression. A computer program was created based on these data. Results. The most significant factors in the preoperative diagnosis of endometriosis in infertile patients were chronic pelvic pain (χ2 = 21.677, p <0.001), age (χ2 = 14.172, p <0.001) and concomitant gynecological diseases (χ2 = 11.185, p = 0.001) , living in the city (χ2 = 6.788, p = 0.009), the presence of dyspareuria (χ2 = 6.954, p = 0.008), AUB (χ2 = 3.848, p = 0.050), the age of sexual debut (χ2 = 4.271, p = 0.039), a history of salpingectomy (χ2 = 1.126, p = 0.04). Based on the data obtained with the use of logistic regression and ROC-analysis, a computer program «Preoperative diagnosis of endometriosis in infertile patients» was create, which has a sensitivity of 81.5 %, specificity of 71.4 %, and a predictive probability of 91.2 %. Conclusion. Thus, the results of the study made it possible to identify the main risk factors for endometriosis-associated infertility and to create a computer program for the preoperative diagnosis of endometriosis, which has a high prognostic value.

Keywords

Article Details Information about financing and conflict of interests The authors declare that they have no apparent or potential conflicts of interest related to the publication of this article. This work is licensed under a Creative Commons Attribution 4.0 License. How to Cite

References

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