IVI Madrid, Madrid, Spain.
IVI Madrid, Madrid, Spain.
Fertil Steril. 2014 Mar;101(3):699-704. doi: 10.1016/j.fertnstert.2013.12.005. Epub 2014 Jan 11.
To study the differences in the cleavage time between chromosomally normal and abnormal embryos and to elaborate an algorithm to increase the probability of noninvasively selecting chromosomally normal embryos.
Retrospective cohort study.
University-affiliated infertility center.
PATIENT(S): Preimplantation genetic screening patients (n = 125; n = 77 with ET), including cases of repeated implantation failure or recurrent miscarriage. A total of 504 embryos were analyzed.
INTERVENTION(S): Embryo culture within a time-lapse system.
MAIN OUTCOME MEASURE(S): Kinetic variables included the time to 2 (t2), 3 (t3), 4 (t4), and 5 (t5) cells as well as the length of the second (cc2 = t3 - t2) and third (cc3 = t5 - t3) cell cycle, the synchrony in the division from 2 to 4 cells (s2 = t4 - t3), and the interval t5 - t2. Implantation and clinical pregnancy rates were also analyzed.
RESULT(S): A logistic regression analysis identified t5 - t2 (odds ratio [OR] = 2.853; 95% confidence interval [CI], 1.763-4.616), followed by cc3 (OR = 2.095; 95% CI, 1.356-3.238) as the most relevant variables related to normal chromosomal content. On the basis of these results, an algorithm for embryo selection is proposed to classify embryos from A to D. Each category exhibited significant differences in the percentage of normal embryos (A, 35.9%; B, 26.4%; C, 12.1%; D, 9.8%).
CONCLUSION(S): Chromosomally normal and abnormal embryos have different kinetic behavior. On the basis of these differences, the proposed algorithm serves as a tool to classify embryos and to increase the probability of noninvasively selecting normal embryos.
研究染色体正常和异常胚胎的卵裂时间差异,并阐述一种提高非侵入性选择染色体正常胚胎概率的算法。
回顾性队列研究。
大学附属不孕中心。
接受胚胎植入前遗传学筛查的患者(n=125;n=77 例行胚胎移植术),包括复发性植入失败或反复性流产病例。共分析了 504 枚胚胎。
胚胎在时间 lapse 系统中培养。
动力学变量包括 2 细胞(t2)、3 细胞(t3)、4 细胞(t4)和 5 细胞(t5)的时间以及第二(cc2=t3-t2)和第三(cc3=t5-t3)细胞周期的长度、从 2 细胞到 4 细胞分裂的同步性(s2=t4-t3)以及 t5-t2 的间隔。还分析了胚胎着床率和临床妊娠率。
逻辑回归分析确定 t5-t2(优势比[OR]=2.853;95%置信区间[CI],1.763-4.616)和 cc3(OR=2.095;95%CI,1.356-3.238)是与正常染色体含量最相关的变量。基于这些结果,提出了一种胚胎选择算法,将胚胎分为 A 到 D 类。每个类别中正常胚胎的百分比有显著差异(A 类,35.9%;B 类,26.4%;C 类,12.1%;D 类,9.8%)。
染色体正常和异常胚胎的卵裂行为不同。基于这些差异,所提出的算法可作为一种分类胚胎和提高非侵入性选择正常胚胎概率的工具。