登巴萨医院吸烟男性伴侣与宫内人工授精成功率的关系

Albert Salim, Yukhi Kurniawan, I. G. N. Pramesemara
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摘要

背景:辅助生殖技术,其中之一是宫内人工授精(IUI),使不育夫妇怀孕。人工授精的妊娠成功率因人而异。目的:研究目的是确定吸烟男性伴侣与人工授精成功之间是否存在关系。方法:本研究采用横断面分析方法,采用目的抽样技术在登巴萨卡西伊布综合医院进行。选取35对年龄在25-50岁之间的男性夫妇作为样本。研究数据从患者病历中收集,采用卡方检验进行统计分析。结果:研究发现,在35个样本中,有13个(37.1%)是吸烟者,而22个(62.9%)男性伴侣不吸烟。6例(17.1%)样本伴侣在宫内人工授精后怀孕,29例(82.9%)样本伴侣未怀孕。在登巴萨Kasih Ibu总医院,男性伴侣吸烟与宫内节育术成功无显著关系(p=0.832)。然而,在描述性分析和相对风险计算中,吸烟男性伴侣成功怀孕的可能性低于不吸烟男性伴侣(RR=0.85)。结论:吸烟的男性伴侣可能不会促进人工授精成功。进一步的研究应采用更多的样本数、多中心和更多的控制风险因素,以使其更准确地确定两者之间的关系。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Relationship Between Smoker Male Partner and Intrauterine Insemination Success in Kasih Ibu General Hospital Denpasar
Background : Assisted reproductive technology, one of which is intrauterine insemination (IUI) allows infertile couples to get pregnant. The pregnancy success of IUI procedure varies among individuals. Objective: The study aim is to determine whether there is a relationship between smoker male partners and IUI success. Methods: This research is an analytic study with cross-sectional approach conducted at Kasih Ibu General Hospital Denpasar with purposive sampling technique. There are 35 male couples aged 25-50 years who underwent the IUI procedure selected as samples. The research data was gathered from patient's medical records and statistically analyzed using the Chi-Square test. Results: The study found that of the 35 samples, 13 (37.1%) were smokers, whereas 22 (62.9%) male partners were non-smokers. There were 6 (17.1%) samples’ partners who were pregnant after undergoing the IUI procedure, and 29 (82.9%) samples’ partners were not pregnant. It was found that there was no significant relationship between male partner smokers and the success of IUI at Kasih Ibu General Hospital Denpasar (p=0.832). However, in descriptive analysis and relative risk calculation, smoker male partner is less likely to achieve pregnancy than non-smoker’s male partner (RR=0.85). Conclusion: Smoker male partners may not contribute to IUI success. Further studies should be done with a higher number of samples, multicenter, and more controlled risk factors to make it more accurate in determining the relationship.
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