Objectives: This study aimed to identify human blastocyst contraction patterns and their correlations with ploidy status (PGT-A analysis), the time it took for embryos to reach the blastocyst stage, and pregnancy rates. Methods: The study included 912 embryos from 270 patients seen in our center. All embryos were cultivated in an Embryoscope incubator. An NGS platform was used to test 778 of the 912 embryos initially included in the study for aneuploidy at a reference laboratory. Blastocyst contractions were evaluated using the embryo drawing tool to compute percent contraction. A total of 182 single-embryo transfers were performed. The mean age of the included patients was 30.44 years (24-39 years). Results: The embryos were divided into two groups, the first with embryos that contracted (CT group) and the second with embryos that did not contract, herein referred to as expanding-only embryos or solo expanding (SE group). In terms of ploidy status, 58.33% of the embryos in the SE group were euploid, while 53.58% of embryos in the CT group were aneuploid. The difference between the groups was statistically significant (p=0.029), showing that embryos that do not contract have a higher chance of being euploid than embryos that contract. Pregnancy rates were also significantly higher among embryos in the SE group than in the CT group (63.10% vs. 46.67%; p=0.012). Finally, we saw that embryos in the CT group took significantly longer to reach the blastocyst stage compared to embryos in the SE group (p=0.004). Patient age was not significantly different between the CT and SE groups, indicating that age might not be a factor in embryo contraction. Conclusion: Two of the traits for which the embryos included in this study were compared were statistically different. Embryos in the CT group had lower implantation rates, took longer to reach the blastocyst stage, and had a higher chance of being aneuploid, regardless of maternal age. Therefore, embryo contraction might be a useful parameter in the selection of embryos for transfer.
Objective: To evaluate the use of implantation data algorithm KIDscore TM D5 (Vitrolife ® , Canada) as an additional tool for morphological assessment and preimplantation genetic testing for aneuploidies (PGT-A) to improve implantation and ongoing pregnancy rates. Materials and methods: This study looked into 912 embryos from 270 patients who underwent IVF at the IN-MATER Fertility Clinic in Lima, Peru, between October 2016 and June 2018. All embryos were cultured for up to five or six days in an Embryoscope ® time-lapse incubator (Vitrolife ® , Canada) and evaluated based on the KIDscore TM D5 algorithm (KS5). Biopsies for PGT-A screening were performed in 778 (85.31%) embryos. A total of 184 single embryo transfers (68% of patients) were performed during the study period and the embryos transferred were divided into four groups: 1) euploid embryos transferred without consideration to their KS5 scores (n=86); 2) euploid embryos transferred considering their KS5 scores (n=48); 3) embryos transferred without consideration to their KS5 scores and that were not evaluated by PGT-A (n=40); and 4) embryos transferred considering their KS5 scores and that were not evaluated by PGT-A (n=10). Implantation and ongoing pregnancy rates were compared between the groups and between euploid embryos with the highest KS5 scores (KS5=6, n=25) and euploid embryos with the lowest KS5 scores (KS5=1, n=51). The correlations between KS5 scores and embryo euploidy rates were also evaluated. Results: Euploid embryo transfers in which KS5 scores were considered in the selection process had significantly higher Implantation and ongoing pregnancy rates compared to euploid embryo transfers in which selection was based on morphology (75.00% vs. 50.00%; p=0.002 and 66.66% vs. 48.83%; p=0.037, respectively). Additionally, implantation rates were significantly higher for blastocysts with the highest KS5 score (KS5=6) compared to blastocysts with the lowest score (KS5=1) (80.00% vs. 49.02%; p=0.045). Ongoing pregnancy rates were not significantly different (72.00% vs. 47.06%; p=0.105). Euploidy rates were significantly higher in the group of embryos with KS5=6 than in the group of embryos with KS5=1 (61.88% vs. 48.33%; p=0.006). Conclusion: Embryo selection based on the KS5 algorithm score improved the implantation rates of single euploid blastocyst transfers. Furthermore, embryos with the highest KS5 score had a higher probability of being euploid and implanting.
Objetivos. Evaluar si el uso del algoritmo KIDScore 5 (known implantation data) puede ayudar a seleccionar entre los embriones euploides, para mejorar las tasas de embarazo e implantación en pacientes sometidas a procedimientos de reproducción asistida. Métodos. Estudio de cohorte retrospectivo en una clínica de fertilidad, desde octubre 2016 a diciembre 2018. Se estudió 1 049 embriones provenientes de 328 pacientes. Todos los embriones fueron cultivados en la incubadora Time-Lapse, Embryoscope® (Vitrolife®, Canadá) durante 5 a 6 días. De estos, 896 embriones (85,4%) fueron biopsiados y analizados mediante NGS y recibieron una valoración otorgada por el algoritmo predictivo KIDScore 5 (Vitrolife®, Canadá). Los 153 embriones restantes (14,6%) únicamente recibieron la valoración mediante el algoritmo predictivo KIDScore 5. Se realizó 256 transferencias únicas de embriones euploides en parejas sometidas a tratamientos de FIV en el laboratorio de reproducción asistida de la Clínica Inmater, Lima – Perú. Resultados. La tasa de implantación de los embriones euploides transferidos con valores de KIDScore = 6 versus los transferidos con valores de KIDScore = 1 tuvo diferencia estadísticamente signficativa (73,5% vs. 50,8%; p=0,030). Al evaluar la relación entre la tasa de euploidia embrionaria versus el resultado del valor de KIDScore 5, se obtuvo diferencias altamente significativas en las tasas de euploidia en los embriones con resultados de KIDScore 6 y 5 versus los de KIDScore 0 y 1 (60,5% vs. 45,7%; p=0,0004). Conclusiones. La selección embrionaria con ayuda del algoritmo KIDScore 5 ofrece ventaja en las tasas de implantación y embarazo únicamente cuando se transfieren embriones euploides. Su uso como criterio adicional a la selección embrionaria debiera ser considerado siempre que se acompañe estudio genético a los embriones a transferir. Los embriones euploides con valor más alto en la escala del algoritmo KIDScore 5, tienen mejores tasas de implantación y euploidía que los embriones con el valor mínimo de dicho algoritmo.
Objetivos. Estudiar los patrones de contracciones en blastocistos humanos mediante el uso de una incubadora time-lapse y correlacionarlos con su estado de ploidía por análisis PGT-A, el tiempo para alcanzar el estado blastocisto, la tasa de implantación y de embarazo clínico. Diseño. Estudio de cohortes retrospectivo. Intervenciones. Entre octubre 2016 y mayo 2018, se evaluó 270 pacientes; se hizo cultivo extendido de 5 a 6 días a 912 embriones en la incubadora time-lapse (Embryoscope, Vitrolife), y a 778 se les estudió para aneuploidía usando una plataforma NGS en un laboratorio de referencia. Hubo posterior vitrificación, según resultado del desarrollo embrionario y en espera del resultado del NGS, seguido de desvitrificación y transferencia de embrión único. Se determinó las contracciones del blastocisto (CTB) mediante la herramienta de dibujo del embrión EmbryoViewer (EmbryoViewer drawing tools), de manera de obtener el área, porcentaje de contracción y los diferentes tipos de contracciones, y se comparó los embriones con el resultado del estudio genético mediante NGS. Se transfirió 182 embriones en pacientes de 30,4 años promedio, rango entre 24 y 39 años. Finalmente, se correlacionó la tasa de implantación y embarazo clínico de los embriones euploides que fueron transferidos, en el programa de reproducción asistida. Resultados. Se separó los embriones en dos grupos de acuerdo a las contracciones durante su desarrollo, en aquellos que las tuvieron (CT) y aquellos que no, denominados ‘solo expanding’ (SE). Los embriones SE fueron euploides en 58,3%, mientras los embriones CT fueron aneuploides en 53,6%, con significancia estadística (p=0,012). Ello indica que la mayoría de los embriones euploides hacen ‘solo expanding’ durante su desarrollo, mientras que la mayoría de los embriones aneuploides (53,9%) hacen contracciones durante su desarrollo (p=0,029). Del mismo modo, la tasa de embarazo clínico de los embriones SE euploides fue 63,1% frente a 46,7% de los embriones CT, p=0.012. Finalmente, los embriones euploides CT tardaron más en convertirse en blastocistos tempranos que los embriones SE, p=0.004. La edad de la mujer no representó un factor para contracción embrionaria. Conclusiones. Los resultados obtenidos en este estudio muestran que los embriones que muestran contracciones, sin importar que tan intensas sean, están relacionados con mayor probabilidad de aneuploidías, menor tasa de implantación y ritmos de división lentos. El simple hecho de observar contracciones en un embrión podría ser útil para decidir transferir otro embrión que no las haya tenido. Se requiere más estudios para comprobar estos hallazgos.
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