Ömer Hamid YUMUŞAK, Aytekin TOKMAK, Berna SECKİN

Prognostic Factors Influencing Pregnancy Rates in Intrauterine Insemination Cycles

Amaç: Bu çalışmada Kontrollü Ovarian Stimulasyon (KOH)/Intrauterin Inseminasyon (IUI) sonrası gebelik sonuçlarını etkileyen prognostik faktörlerin belirlenmesi amaçlanmıştır. Gereç ve Yöntemler: Bu retrospektif kohort çalışmasında, Ocak 2017 ve Nisan 2019 tarihleri arasında toplam 202 gonadotropin-IUI siklusu analiz edildi. Gebelik saptanan (n = 44) ve saptanmayan (n = 158) iki grup, demografik özellikler, siklus sonuçları ve sperm parametreleri açısından karşılaştırıldı. Gebeliği etkileyebilecek faktörleri belirlemek için lojistik regresyon analizi yapıldı. Bulgular: Klinik gebelik oranı tüm grupta % 21.8 olarak hesaplandı. Lojistik regresyon, IUI başarı oranlarını öngörmede dört önemli faktör tanımladı; infertilite etiyolojisi (OR: 0.208;% 95 CI: 0.079-0.547, P: 0.001), artmış total progresif motil sperm sayısı (TPMSS) (OR: 1.027;% 95 CI: 1.001-1.053; P: 0.047), endometrial kalınlık (OR: 1.346; 95 % CI: 1.120-1.617; P: 0.002) ve azalmış infertilite süresi (OR: 0.951;% 95 CI: 0.928-0.975, P <0.001), gebelik için en önemli risk faktörleriydi. Sonuç: Bu çalışmada analiz edilen çeşitli parametrelerden infertilite etiyolojisi, infertilite süresi, endometrial kalınlık ve yıkama sonrası progressive motil sperm sayısı,intrauterin inseminasyonun başarısını etkileyen en önemli prognostik faktörlerdir

Anahtar Kelimeler:

intrauterin inseminasyon, prognostik faktörler, infertilite, gebelik oranı

Objective: The aim of this study was to determine the prognostic factors for pregnancy outcomes after controlled ovarian stimulation (COS)/intrauterine insemination (IUI). Study Design: In this retrospective cohort study, a total of 202 gonadotropin-IUI cycles were analyzed between January 2017 and April 2019. Demographic features, cycle outcomes and sperm parameters were compared between pregnant (n = 44) and non-pregnant groups (n = 158). Logistic regression analysis was performed to identify factors that could predict a pregnancy. Results: The clinical pregnancy rate was calculated as 21.8% in the whole group. Logistic regression identified four significant factors in predicting the IUI success rates; the etiology of infertility (OR:0.208; 95% CI: 0.079-0.547, P:0.001), increased TPMSC (OR:1.027; 95% CI:1.001-1.053; P:0.047), endometrial thickness (OR:1.346; 95% CI:1.120-1.617; P:0.002) and decreased duration of infertility (OR:0.951; 95% CI: 0.928-0.975, P<0.001) which were the most significant risk factors for pregnancy. Conclusion: Among various parameters analyzed in this study, infertility etiology, infertility duration, endometrial thickness and post-washed total progressive motile sperm count found to be the most important prognostic factors in predicting successful outcome of IUI.

Keywords:

intrauterine insemination, prognostic factors, infertility, pregnancy rate,

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