Effects of spermiogram parameters in patients who attempt intrauterine insemination

• Published in: Journal of clinical and experimental investigations Vol. 4; no. 4; p. 472
• Main Authors: Demirel, Erhan, Şevket, Osman, Ateş, Seda, Demirel, Funda, Koç, Serdar, Sönmez, Süha
• Format: Journal Article
• Language: English
• Published: East Sussex 14.12.2013
• Subjects: Infertility; Morphology; Pregnancy; Sperm
• ISSN: 1309-6621; 1309-6621
• DOI: 10.5799/ahinjs.01.2013.04.0327

Objective: The aim of this study is detection of optimal sperm parameters by evaluating the effects of motile sperm count and morphology on clinical pregnancy rates in patients who applied for intrauterine insemination. Methods: This study comprised 279 intrauterine insemination cycles, which has applied to 172 infertile patients between January 2003 and June 2005, in Süleymaniye Obstetrics-Gynecology Hospital, Infertility Unit. We, firstly compared the clinical pregnancy rates according to processed total progressive motile sperm count, by classifying IUI cycles into two groups as <1million and ≥1million according to TPMS. Then, we compared the clinical pregnancy rates according to morphology, by classifying IUI cycles into two groups as with normal morphology < 4% and ≥ 4% according to Kruger’s strict criteria. To compare the clinical pregnancy rates by dividing cycles into four subgroups evaluated with two parameters together. Results: Statistically significant difference was not found between patients’ ages (women), duration of infertility and day 3 FSH levels between groups and subgroups. There was no statistical significant difference in the clinical pregnancy rates in group, which was classified as <1million and ≥1million according to TPMSS neither in group which was classified as normal morphology <4% and ≥4%. Optimal clinical pregnancy rates were achieved in subgroup with ‘TPMS ≥1million and normal morphology ≥4% when two parameters evaluated together. The difference of pregnancy rate in this group compared to the other sub-groups was statistically significant. Conclusion: Optimal clinical pregnancy rates increases when two parameters ‘TPMS ≥1million and normal morphology ≥4% were together.