Publications by authors named "Chantal B Bartels"

Objective: To compare in vitro fertilization (IVF) outcomes for preimplantation genetic testing for chromosomal structural rearrangements (PGT-SR) using various testing platforms.

Design: Retrospective cohort.

Setting: Large academic IVF center.

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Study Question: Does trophectoderm biopsy for preimplantation genetic testing (PGT) increase the risk of obstetric or perinatal complications in frozen-thawed embryo transfer (FET) cycles?

Summary Answer: Trophectoderm biopsy may increase the risk of hypertensive disorders of pregnancy (HDP) in pregnancies following FET cycles.

What Is Known Already: Trophectoderm biopsy has replaced blastomere biopsy as the standard of care to procure cells for PGT analysis. Recently, there has been concern that trophectoderm biopsy may adversely impact obstetric and perinatal outcomes.

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Research Question: What is the optimal timing for transfer in natural cycle vitrified-warmed embryo transfers (NC-VET)?

Design: This retrospective cohort study uses data from a large university-affiliated IVF clinic. The study included 341 NC-VET cycles with autologous oocytes and non-preimplantation genetic testing, vitrified embryos from January 2013 to September 2017. Each cycle was classified by timing of embryo transfer in relation to LH surge ≥20 IU/l.

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Fibroids are the most common tumor of the female reproductive tract, but approved medical treatments are limited. Patients demand uterine-sparing treatments which preserve fertility and avoid surgery. We systematically reviewed PubMed and Cochrane databases from January 1985 to November 2015 for evidence-based medical therapies for fibroids in the context of disease prevention, treatment of early disease, treatment of symptomatic disease, and preoperative management.

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RNA secondary structure prediction using free energy minimization is one method to gain an approximation of structure. Constraints generated by enzymatic mapping or chemical modification can improve the accuracy of secondary structure prediction. We report a facile method that identifies single-stranded regions in RNA using short, randomized DNA oligonucleotides and RNase H cleavage.

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