TY - JOUR
T1 - IUI in male subfertility
T2 - Are we able to select the proper patients?
AU - van Weert, Janne Meije
AU - Repping, Sjoerd
AU - van der Steeg, Jan Willem
AU - Steures, Pieternel
AU - van der Veen, Fulco
AU - Mol, Ben Willem J.
PY - 2005/1/1
Y1 - 2005/1/1
N2 - There is at this time no indication as to which semen parameters from the fertility work-up discriminate between couples with male subfertility who will and will not benefit from intrauterine insemination (IUI). This study evaluated the predictive capacity of semen parameters (both pre- and post-wash) and antisperm antibodies (ASA) obtained during the fertility work-up on IUI outcome in couples with male subfertility in a retrospective cohort study. It included 290 couples, who underwent 722 IUI cycles. The overall ongoing pregnancy rate was 9% per cycle. Model I, with female age, duration of subfertility, secondary subfertility, the presence of anovulation, cervical hostility and cycle number had an area under the curve (AUC) of 0.59. Adding the presence of ASA to this model improved the AUC to 0.65 (model II). Further addition of the post-wash total motile count (TMC) to the model with ASA (model III) improved the AUC to 0.67. Using the models to exclude couples from IUI due to low expected pregnancy rates would increase the pregnancy rate to 11% per cycle with model I, and to 14% per cycle for model II and for model III. In conclusion, in the selection of patients with male subfertility for IUI, the use of prediction models including ASA can increase the efficiency of IUI.
AB - There is at this time no indication as to which semen parameters from the fertility work-up discriminate between couples with male subfertility who will and will not benefit from intrauterine insemination (IUI). This study evaluated the predictive capacity of semen parameters (both pre- and post-wash) and antisperm antibodies (ASA) obtained during the fertility work-up on IUI outcome in couples with male subfertility in a retrospective cohort study. It included 290 couples, who underwent 722 IUI cycles. The overall ongoing pregnancy rate was 9% per cycle. Model I, with female age, duration of subfertility, secondary subfertility, the presence of anovulation, cervical hostility and cycle number had an area under the curve (AUC) of 0.59. Adding the presence of ASA to this model improved the AUC to 0.65 (model II). Further addition of the post-wash total motile count (TMC) to the model with ASA (model III) improved the AUC to 0.67. Using the models to exclude couples from IUI due to low expected pregnancy rates would increase the pregnancy rate to 11% per cycle with model I, and to 14% per cycle for model II and for model III. In conclusion, in the selection of patients with male subfertility for IUI, the use of prediction models including ASA can increase the efficiency of IUI.
KW - Intrauterine insemination
KW - Male subfertility
KW - Pregnancy and semen parameters
KW - Prognostic factors
UR - http://www.scopus.com/inward/record.url?scp=28244488553&partnerID=8YFLogxK
U2 - 10.1016/S1472-6483(10)61172-8
DO - 10.1016/S1472-6483(10)61172-8
M3 - Article
C2 - 16409715
AN - SCOPUS:28244488553
SN - 1472-6483
VL - 11
SP - 624
EP - 631
JO - Reproductive BioMedicine Online
JF - Reproductive BioMedicine Online
IS - 5
M1 - 1879
ER -