Pattern and Risk Factors of Ectopic Pregnancy in a Private Tertiary Care Setting of Dhaka City in Bangladesh

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DOI:

https://doi.org/10.3329/jninb.v11i1.85597

Keywords:

ectopic pregnancy, Risk factors, socio-demographic characteristics

Abstract

Background: Ectopic pregnancy frequently occurs among women of reproductive age.

Objective: The objective of the present study was to determine the incidence and socio-demographic characteristics of patients with ectopic pregnancy.

Methodology: This cross-sectional study was conducted in the Department of Obstetrics and Gynaecology, Bangladesh Medical College Hospital, Dhaka, Bangladesh, from January 2009 to December 2009, covering a period of one year. All clinically suspected cases of ectopic pregnancy among women of reproductive age admitted to the department were included. A detailed history was obtained, with particular attention to menstrual, obstetric, and contraceptive histories, followed by a thorough physical examination. The diagnosis of ectopic pregnancy was confirmed through relevant laboratory investigations and imaging studies.

Results: The incidence of ectopic pregnancy at Bangladesh Medical College Hospital was 2.16%. The mean age of the study population was 24.0 ± 2.87 years. Ectopic pregnancy showed a strong association with higher parity, with para 2 being the most common (20 cases, 44.0%). The predominant risk factors included pelvic infection (33%), previous history of abortion or menstrual regulation (28%), and infertility (25%). A history of tuberculosis was reported in only 3.0% of cases.

Conclusion: In conclusion, young women of parity two with a history of pelvic infection, abortion, or menstrual regulation were found to be most commonly affected by ectopic pregnancy.

Journal of National Institute of Neurosciences Bangladesh, January 2025;11(1): 75-80

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Published

2025-12-21

How to Cite

Khanam, R., Choudhury, S., Moureen, A., Akhter, N., & Ahmed, T. (2025). Pattern and Risk Factors of Ectopic Pregnancy in a Private Tertiary Care Setting of Dhaka City in Bangladesh. Journal of National Institute of Neurosciences Bangladesh, 11(1), 75–80. https://doi.org/10.3329/jninb.v11i1.85597

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Original Articles