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Evaluation of a scoring system to predict treatment success with single-dose methotrexate in ectopic pregnancy
Ali Selcuk Yeniocak1, Can Tercan2, Emrah Dagdeviren2
1Department of Obstetrics and Gynecology, Basaksehir Cam and Sakura City Hospital, Istanbul, Turkey. a.s.yeniocak@hotmail.com.
Purpose:
This study sought to assess the efficacy of a newly developed scoring system in predicting treatment outcomes for ectopic pregnancy among patients undergoing single-dose methotrexate therapy. The primary research question centered on the reliability and predictive accuracy of objective parameters in determining methotrexate therapy success.
Methods:
Conducted as a retrospective single-center cohort study, data from 172 ectopic pregnancy patients treated with methotrexate between January 2021 and January 2023 were analyzed. Parameters including adnexal mass size, peritoneal fluid presence, yolk sac identification, endometrial thickness, ectopic pregnancy location, and initial B-hCG levels were meticulously evaluated for their association with treatment outcomes.
Results:
Following the exclusion of 21 emergency surgery cases, the final analysis comprised 151 patients. Notable associations were observed between specific parameters (fetal cardiac activity, adnexal mass size > 3.5 cm, peritoneal fluid presence, yolk sac identification, endometrial thickness > 10 mm, and initial B-hCG levels) and treatment outcomes (p < 0.001). Additionally, the novel scoring system demonstrated promising predictive performance. At a cutoff of 2.50, it achieved a sensitivity of 91.7% and a specificity of 59.7%. Increasing the cutoff to 3.50 resulted in a sensitivity of 94.0%, with a specificity of 46.3%.
Conclusion:
Objective parameters, particularly those integrated into the developed scoring system, exhibited substantial associations with methotrexate therapy outcomes in ectopic pregnancy. These findings underscore the potential of an objective scoring model to significantly influence clinical decision-making in therapy, offering avenues for enhanced prognostication and patient care in treatment outcomes.
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