Triopon G, Tailland M-L, Faillie J-L, Bolzinger E, Mercier G, Ripart S, Boyer J-C, Fabbro-Peray P, Poirey S, Archambault A, Marès P
Service de gynécologie-obstétrique, département de médecine de la reproduction, CHU Carémeau, place Robert-Debré, 30900 Nîmes cedex, France.
Gynecol Obstet Fertil. 2006 Nov;34(11):1043-50. doi: 10.1016/j.gyobfe.2006.09.011. Epub 2006 Oct 27.
To study the correlation between expired air carbon (EACO) and urinary cotinine, and to determine the impact of tobacco smoking on in vitro fertilization (IVF) results.
We studied prospectively 221 patients in our ART center from October 2002 to October 2004: 51 active smokers, 85 passive smokers, and 85 non-smokers. Patients were classified into active, passive smokers, or non-smokers, based on a questionnaire. We measured urinary cotinine and EACO on the embryo transfer day and we recorded the IVF parameters.
Two hundred and twenty-one patients were included. We observed a 17.2% reduction of estradiolemy (P=0.05), a 1.5% reduction of pregnancies (NS), a 7.8% reduction of infants born alive (NS), a 28.5% reduction of twin pregnancies (P=0.06), as well as a 10% increase of miscarriages (NS) in the active smokers in comparison with non-smokers (the same trends were observed between active and passive smokers). EACO and urinary cotinine were well correlated. There was a negative correlation between estradiolemy and urinary cotinine (R=-0.15, P=0.02).
Tobacco smoking intensity may be dilatory on IVF results. There is a high correlation between EACO and urinary cotinine. Other larger studies would probably obtain results more statistically significant.
研究呼出空气碳（EACO）与尿可替宁之间的相关性，并确定吸烟对体外受精（IVF）结果的影响。
我们对2002年10月至2004年10月在我们辅助生殖中心的221例患者进行了前瞻性研究：51例主动吸烟者、85例被动吸烟者和85例非吸烟者。根据问卷调查将患者分为主动吸烟者、被动吸烟者或非吸烟者。我们在胚胎移植日测量了尿可替宁和EACO，并记录了IVF参数。
纳入221例患者。我们观察到，与非吸烟者相比，主动吸烟者的雌二醇水平降低了17.2%（P=0.05），妊娠率降低了1.5%（无统计学意义），活产婴儿率降低了7.8%（无统计学意义），双胎妊娠率降低了28.5%（P=0.06），流产率增加了10%（无统计学意义）（主动吸烟者与被动吸烟者之间观察到相同趋势）。EACO与尿可替宁相关性良好。雌二醇水平与尿可替宁之间存在负相关（R=-0.15，P=0.02）。
吸烟强度可能会延迟IVF结果。EACO与尿可替宁之间存在高度相关性。其他更大规模的研究可能会获得更具统计学意义的结果。
