Daily IVF retrieval variation does not affect patient success rates with high quality equipment and appropriate laboratory staffing

Abstract

ObjectiveConcerns are often raised on busy days as to whether the more complicated clinical laboratory operations, laboratory staffing, equipment use and incubator door openings adversely affect patient IVF outcomes. Deep statistical analysis of large clinical and laboratory datasets allows for extensive exploration of individual and multiplexed variables. Through deep phenotyping statistical analysis we now routinely interrogate >290 individual items from our vast IVF database. Our objective in this study was to determine whether the number of oocyte retrievals (VORs) being performed on any given day was correlated with IVF clinical success.DesignRetrospective data analysis at a large private-academic fertility centerMaterials and MethodsClinical and laboratory data were analyzed from electronic medical records for all fresh IVF cycles, 6822 consecutive patients, who cycled from 01/05 to 12/10. Biserial correlation was performed to analyze for association between patient success rates (defined as the presence of fetal heart beats) and the number of VORs performed on any given day.ResultsTabled 1VORs/DayOccurrences%Pregnancy Rate ± SD11401.7%53 ± 4%22286.1%38 ± 2%331312.6%43 ± 2%431016.6%43 ± 1%527618.2%43 ± 1%620816.4%43 ± 1%713212.2%46 ± 2%8667.1%41 ± 2%9424.9%42 ± 3%10172.2%48 ± 4%1160.9%52 ± 7%1220.3%30 ± 10%1310.2%42 ± 16%1410.2%17 ± 12% Open table in a new tab ConclusionOur data demonstrates that in a well equipped, staffed and trained embryology laboratory, the number of VORs on a given day does not impact IVF success rates significantly. Concerns associated with being treated on a busy day can be alleviated due to our findings in this large data set analysis of daily case-load over time. Multiplexed analysis of additional variables to determine the extent of the effect of laboratory and equipment workload on outcomes is ongoing. ObjectiveConcerns are often raised on busy days as to whether the more complicated clinical laboratory operations, laboratory staffing, equipment use and incubator door openings adversely affect patient IVF outcomes. Deep statistical analysis of large clinical and laboratory datasets allows for extensive exploration of individual and multiplexed variables. Through deep phenotyping statistical analysis we now routinely interrogate >290 individual items from our vast IVF database. Our objective in this study was to determine whether the number of oocyte retrievals (VORs) being performed on any given day was correlated with IVF clinical success. Concerns are often raised on busy days as to whether the more complicated clinical laboratory operations, laboratory staffing, equipment use and incubator door openings adversely affect patient IVF outcomes. Deep statistical analysis of large clinical and laboratory datasets allows for extensive exploration of individual and multiplexed variables. Through deep phenotyping statistical analysis we now routinely interrogate >290 individual items from our vast IVF database. Our objective in this study was to determine whether the number of oocyte retrievals (VORs) being performed on any given day was correlated with IVF clinical success. DesignRetrospective data analysis at a large private-academic fertility center Retrospective data analysis at a large private-academic fertility center Materials and MethodsClinical and laboratory data were analyzed from electronic medical records for all fresh IVF cycles, 6822 consecutive patients, who cycled from 01/05 to 12/10. Biserial correlation was performed to analyze for association between patient success rates (defined as the presence of fetal heart beats) and the number of VORs performed on any given day. Clinical and laboratory data were analyzed from electronic medical records for all fresh IVF cycles, 6822 consecutive patients, who cycled from 01/05 to 12/10. Biserial correlation was performed to analyze for association between patient success rates (defined as the presence of fetal heart beats) and the number of VORs performed on any given day. ResultsTabled 1VORs/DayOccurrences%Pregnancy Rate ± SD11401.7%53 ± 4%22286.1%38 ± 2%331312.6%43 ± 2%431016.6%43 ± 1%527618.2%43 ± 1%620816.4%43 ± 1%713212.2%46 ± 2%8667.1%41 ± 2%9424.9%42 ± 3%10172.2%48 ± 4%1160.9%52 ± 7%1220.3%30 ± 10%1310.2%42 ± 16%1410.2%17 ± 12% Open table in a new tab ConclusionOur data demonstrates that in a well equipped, staffed and trained embryology laboratory, the number of VORs on a given day does not impact IVF success rates significantly. Concerns associated with being treated on a busy day can be alleviated due to our findings in this large data set analysis of daily case-load over time. Multiplexed analysis of additional variables to determine the extent of the effect of laboratory and equipment workload on outcomes is ongoing. Our data demonstrates that in a well equipped, staffed and trained embryology laboratory, the number of VORs on a given day does not impact IVF success rates significantly. Concerns associated with being treated on a busy day can be alleviated due to our findings in this large data set analysis of daily case-load over time. Multiplexed analysis of additional variables to determine the extent of the effect of laboratory and equipment workload on outcomes is ongoing.