ABSTRACT
BACKGROUND: Because seminal prostaglandins play a role at natural fertilization, it was hypothesized that vaginal supplementation of prostaglandins at the time of intrauterine insemination (IUI) might enhance chances of conception. We investigated the effect of misoprostol, a prostaglandin analogue, on the success rate of IUI. METHODS: A multi-center double-blind randomized controlled trial, using a cross-over design with alternating sequence, was designed. Vaginal tablets of misoprostol or placebo were used in conjunction to intrauterine insemination. In total, 199 women, comprising 466 cycles, were analyzed. Main outcome measures were pregnancy rate and prevalence of vaginal bleeding and uterine cramps. RESULTS: The misoprostol group accounted for 146 cycles with 19 pregnancies, whereas the placebo group cycles totaled 164 cycles with 21 pregnancies (13.0 vs. 12.8%, not significant). There was a statistically significant increase in vaginal bleeding (12.3 vs. 1.8%; OR 7.55; 95% CI 2.31-24.48) and abdominal cramping rates (15.1 vs. 4.3%; OR 3.98; 95% CI 1.68-9.39) after application of misoprostol. Due to these severe adverse events the study was prematurely terminated. CONCLUSION: Although prostaglandins surely play a role in natural human reproduction, vaginal administration of misoprostol at the time of IUI is associated with a high rate of side effects and does not seem to enhance the outcome.
Subject(s)
Insemination, Artificial/methods , Misoprostol/administration & dosage , Prostaglandins, Synthetic/administration & dosage , Abdominal Pain/chemically induced , Administration, Intravaginal , Adult , Cross-Over Studies , Double-Blind Method , Female , Humans , Male , Misoprostol/adverse effects , Pregnancy , Prospective Studies , Prostaglandins, Synthetic/adverse effects , Uterine Hemorrhage/chemically induced , Young AdultABSTRACT
A multidimensional unfolding technique that is not prone to degenerate solutions and is based on multidimensional scaling of a complete data matrix is proposed: distance information about the unfolding data and about the distances both among judges and among objects is included in the complete matrix. The latter information is derived from the permutation polytope supplemented with the objects, called the preference sphere. In this sphere, distances are measured that are closely related to Spearman's rank correlation and that are comparable among each other so that an unconditional approach is reasonable. In two simulation studies, it is shown that the proposed technique leads to acceptable recovery of given preference structures. A major practical advantage of this unfolding technique is its relatively easy implementation in existing software for multidimensional scaling.
