Center for Reproductive Medicine, Department of Obstetrics/Gynaecology, Academic Medical Center, Amsterdam 1100 DD, The Netherlands.
Hum Reprod. 2013 May;28(5):1391-7. doi: 10.1093/humrep/det063. Epub 2013 Mar 10.
Are there differences between clinics in the chances of natural conception of couples?
We found significant differences between clinics in the couples' natural conception chances, which could not be explained by differences in characteristics of the patients or the clinics.
In pooled data from multiple centers the synthesis prediction model for natural conception was found to be valid, yet the outcome of interest (i.e. natural conception) might differ between centers. Possible differences between clinics in natural conception rates, as well as the validity of the prediction model in each individual clinic are addressed in this paper.
STUDY DESIGN, SIZE AND DURATION: A secondary data-analysis of a prospective cohort study among 3020 subfertile couples recruited in 38 clinics in the Netherlands between January 2002 and December 2004. Clinics with less than 20 couples were excluded from the analyses, resulting in 21 clinics with 2916 couples.
PARTICIPANTS/MATERIALS, SETTING, METHODS: Inclusion of 2916 subfertile couples who underwent a basic fertility work-up. Couples were excluded who had a fertility disorder (one or two-sided tubal pathology, ovulation disorder, total motile sperm count <3 × 10(6)). Included couples were counseled for expectant management for at least six months or followed until the first day of treatment. Follow-up began at the completion of the fertility work-up. Couples lost to follow-up were censored at the last day of contact. Kaplan-Meier survival curves and a log-rank statistic were estimated. Crude and adjusted hazard ratios were determined, adjusted for patient characteristics and the type of clinic (university hospitals with an assisted conception unit (ACU), non-university hospitals with an ACU and non-university hospitals without an ACU). Hazard ratios were also ascertained with empirical Bayes (EB) estimates. Validation of the prediction model per clinic was performed through calibration.
We found significant differences between clinics in the chance of ongoing pregnancy (P < 0.001); even after adjustment for female age, duration of subfertility, percentage of progressive motile sperm, primary/secondary subfertility and post-coital test (P < 0.001). Adjusted hazard ratios and EB estimates ranged from 0.50 to 2.21 and 0.58 to 1.53, respectively. Among the 21 clinics, there were 4 university hospitals, 10 non-university hospitals with an ACU and 7 non-university hospitals without an ACU. In the multivariable analysis, the type of clinic was not significant (P = 0.11). Calibration gave an average intercept of -0.25 (95% range: -1.04-0.53) and average slope of 0.81 (95% range: 0.03-1.60). Six clinics had a negative intercept that differed significantly from zero and three clinics had a negative or positive slope that differed significantly from one.
LIMITATIONS, REASONS FOR CAUTION: A more extensive model including more predictors could give less variation in the differences between the clinics. Variation in work-up protocol between clinics could also have played a role. In fertility prediction research the Cox proportional hazards regression is the most widely used statistical model, but as the underlying assumptions have rarely been evaluated, this model could lead to biased outcomes.
Our findings suggest that the synthesis model to predict natural conception is useful overall in clinical practice but in a minority of clinics the model is not well calibrated. Updating the synthesis model to include a center-specific baseline chance might improve the synthesis model for certain clinics.
STUDY FUNDING/COMPETING INTEREST(S): The study (on which this secondary data-analysis was based) was supported by grant 945/12/002 from ZonMW, the Netherlands Organization for Health Research and Development, The Hague, the Netherlands.
不同诊所的夫妇自然受孕的机会是否存在差异?
我们发现诊所之间在夫妇自然受孕机会方面存在显著差异,这些差异无法用患者或诊所特征的差异来解释。
在来自多个中心的汇总数据中,自然受孕的综合预测模型被发现是有效的,但感兴趣的结果(即自然受孕)可能因中心而异。本文探讨了不同诊所之间自然受孕率的差异,以及该预测模型在每个诊所的有效性。
研究设计、规模和持续时间:这是对 2002 年 1 月至 2004 年 12 月期间在荷兰的 38 家诊所招募的 3020 对不育夫妇进行的一项前瞻性队列研究的二次数据分析。将夫妇少于 20 对的诊所排除在分析之外,最终纳入了 21 家诊所的 2916 对夫妇。
参与者/材料、设置、方法:纳入了 2916 对接受基本生育检查的不育夫妇。排除了患有生育障碍(单侧或双侧输卵管病理、排卵障碍、总活动精子计数<3×10 6 )的夫妇。纳入的夫妇接受了至少六个月的期待管理或随访,直到开始治疗。随访从生育检查完成开始。失去随访的夫妇在最后一次联系日被截尾。估计了 Kaplan-Meier 生存曲线和对数秩统计量。确定了粗风险比和调整风险比,调整了患者特征和诊所类型(有辅助受孕单位的大学医院、有辅助受孕单位的非大学医院和没有辅助受孕单位的非大学医院)。还使用经验贝叶斯(EB)估计确定了风险比。通过校准验证了每个诊所的预测模型。
我们发现诊所之间的妊娠持续机会存在显著差异(P<0.001);即使在调整了女性年龄、不孕持续时间、精子活力百分比、原发性/继发性不孕和后性交试验后(P<0.001)。调整后的风险比和 EB 估计值范围分别为 0.50 至 2.21 和 0.58 至 1.53。在 21 家诊所中,有 4 家是大学医院,10 家是有辅助受孕单位的非大学医院,7 家是没有辅助受孕单位的非大学医院。在多变量分析中,诊所类型没有显著意义(P=0.11)。校准得出平均截距为-0.25(95%范围:-1.04-0.53),平均斜率为 0.81(95%范围:0.03-1.60)。有 6 家诊所的截距为负值,与零显著不同,有 3 家诊所的斜率为负值或正值,与 1 显著不同。
局限性、谨慎原因:包括更多预测因子的更广泛模型可能会减少诊所之间差异的变化。诊所之间的工作流程协议的变化也可能起了作用。在生育预测研究中,Cox 比例风险回归是最广泛使用的统计模型,但由于其基本假设很少得到评估,因此该模型可能会导致有偏差的结果。
我们的研究结果表明,预测自然受孕的综合模型在临床实践中总体上是有用的,但在少数诊所中,该模型的校准效果不佳。更新综合模型以包括特定中心的基线机会可能会提高某些诊所的综合模型。
研究资金/竞争利益:这项研究(本二次数据分析所基于的研究)得到了荷兰健康研究与发展组织 ZonMW 的 945/12/002 号赠款的支持。