Effect of semen characteristics on pregnancy rate in a gamete intrafallopian transfer program

Characteristics of semen parameters of Malawian men from couples seeking assisted reproduction

AIM: To profile semen parameters of Malawian men seeking fertility testing.

METHODS: Semen analysis is a key element in the fertility evaluation of men and permits male reproductive potential to be evaluated. Semen samples were collected from consenting men after 3-5 d of sexual abstinence. The samples were collected from 130 males; 78 were male partners of infertile couples while 52 were healthy semen donors. Seminal volume, motility and morphology were assessed. The results were analyzed on Prism 5. All data are expressed as mean ± SD. Student’s t-test was used for statistical analysis. Differences were regarded as statistically significant if P < 0.05.

RESULTS: Semen volume, sperm concentration, progressive motility and normal morphology were significantly higher in the control group when compared to the participant group. On the other hand, no statistically significant difference was found between the control group total sperm motility when compared to the participant group. Oligozoospermia was found in 25 cases, teratozoospermia detected in 17 cases and abnormal seminal plasma in 16 cases. Asthenozoospermia and azoospermia were found in 12 and 8 participants, respectively. This study has shown that most of the infertile patients seeking fertility testing had oligozoospermia. Teratozoospermia was the second most common abnormality found in the patients seeking fertility testing.

CONCLUSION: Our study is in agreement with previous studies which reported that these parameters have been shown to be good predictors for fertilization.

Comparison of two staining and evaluation methods used for computerized human sperm morphology evaluations

The purpose of the study was to analyse the agreement between computer analysed (Hamilton Thorne, IVOS Dimensions Version 3) normal sperm morphology and values obtained from 97 slides stained according to the Papanicolaou and Diff-Quik method. Liquefied semen samples were washed once by centrifugation and air dried smears on slides were made, which were stained according to the Papanicolaou and Diff-Quik method and analysed by computer. The paired t-test was used to assess whether any bias existed between the two methods. The limits of agreement were calculated using the Bland and Altman approach and a modification of this approach (mean-dependent limits). A significant bias of 1.6% was obtained in favour of higher normal sperm morphology percentages when using the Diff-Quik method. The standard limits of agreement were -13.4% to 16.6%, whereas the mean-dependent limits of agreement were 1.6% [5.8 + 0.6 (mean percentage normal morphology)]. Statistically, the Diff-Quik and Papanicolaou staining methods produce different normal sperm morphology profiles. These inherent differences may, therefore, require the establishment of new normal sperm morphology thresholds for male fertility, based on clinical data, when using the Diff-Quik staining method in conjunction with computerized analysis.