Body fat determined by skinfold measurements is elevated despite underweight in infants with Prader-Labhart-Willi syndrome

OBJECTIVE: To determine the clinical value of automated normal sperm morphology outcomes. DESIGN: Prospective clinical study. SETTING: Clinical and research assisted reproduction laboratory. PATIENT(S): Two hundred seven GIFT cycles. INTERVENTION(S): The wife was induced to superovulate, laparoscopically aspirated, and the gametes were transferred laparoscopically. The husband's sperm morphology was evaluated with use of a sperm morphology analyzer using the strict criteria classification system. MAIN OUTCOME MEASURE(S): Normal sperm morphology, IVF, and pregnancy outcomes. RESULT(S): The logistic regression model showed that normal sperm morphology was significantly associated with fertilization in vitro, as dependent (age) and independent variables. Analyzing the fertilization rates across the 5% normal sperm morphology cutoff point, a fertilization rate of 39.39% (< or = 5%) compared with 62.92% (>5%) was obtained. The logistic regression model showed that normal sperm morphology was also a significant predictor of pregnancy when allowing for the number of oocytes transferred and female age. Analyzing the pregnancy rates across the 5% normal sperm morphology cutoff point, pregnancy rates of 15.15% (< or = 5%) and 37.36% (>5%) were obtained. CONCLUSION(S): Normal sperm morphology as evaluated by the automated semen analyzer (IVOS) was shown to adhere to the same fertility cutoff point (5%), as determined by the manual evaluation of sperm morphology. Automated normal sperm morphology outcomes also were found to be significant predictors of IVF and pregnancy in a GIFT program.