Publication: Success rate of single-dose regimen of methotrexate treatment in ectopic pregnancy at ramathibodi hospital: Twelve-year experience
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Issued Date
2018-05-01
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01252208
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2-s2.0-85049139347
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Mahidol University
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SCOPUS
Bibliographic Citation
Journal of the Medical Association of Thailand. Vol.101, No.5 (2018), 599-606
Suggested Citation
Naruemon Chompinit, Woradej Hongsakorn, Chananya Tantitham, Srithean Lertvikool, Yada Tingthanatikul, Apichart Chittacharoen Success rate of single-dose regimen of methotrexate treatment in ectopic pregnancy at ramathibodi hospital: Twelve-year experience. Journal of the Medical Association of Thailand. Vol.101, No.5 (2018), 599-606. Retrieved from: https://repository.li.mahidol.ac.th/handle/123456789/46690
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Title
Success rate of single-dose regimen of methotrexate treatment in ectopic pregnancy at ramathibodi hospital: Twelve-year experience
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Abstract
© 2018, Medical Association of Thailand. All rights reserved. Objective: To evaluate the success rate of single-dose intramuscular methotrexate [MTX] regimen for the treatment of ectopic pregnancy at Ramathibodi Hospital and identify predictive factors of treatment success. Materials and Methods: The present study was a retrospective observational study of 141 patients diagnosed as ectopic pregnancy and treated by single-dose MTX regimen at Ramathibodi Hospital between October 2005 and September 2017. Results: Of the 141 patients included in the present study, the authors found 103 patients were successfully treated with single-dose MTX regimen (overall success rate 73.05%). The factors related to successful MTX treatment were pretreatment β-hCG level less than 3,000 mIU/ml (OR 3.07, 95% CI 1.20 to 7.84) and the decrease of β-hCG level on day 4 compared with day 0 (OR 7.45, 95% CI 2.84 to 19.58). Conclusion: The single dose MTX regimen is a safe and effective treatment for ectopic pregnancy after a proper patient selection. The pretreatment β-hCG level and the change of β-hCG level between day 0 and day 4 are the important predictive factors that can predict the success of the treatment.