Although serum anti-Müllerian hormone (AMH) is considered a good predictor of ovarian response during in vitro fertilisation (IVF), pregnancies have been reported with low values, questioning its usefulness as a predictor of treatment outcome. A retrospective study was therefore carried out to assess the IVF treatment outcomes in women with AMH below the tenth percentile of the study population. In all, 134 women with AMH ≤ 3 pmol/L underwent 180 IVF cycles. The mean age at the time of treatment was 37 ± 5 years. Fifty-three (29.4%) cycles were abandoned because of poor response to gonadotrophins, 12 (6.7%) due to absence of eggs at oocyte retrieval and 18 (10%) due to fertilisation failure. Seven (3.8%) had a biochemical pregnancy, 4 (2.2%) had a missed miscarriage and 8 (4.4%) had a live birth. When stratified by age, women older than 42 years had less number of follicles (p < 0.05) and those older than 39 years had less oocytes (p < 0.01) compared to those 35 years and younger. Live births declined with increasing age, when age was assessed as a continuous variable (p = 0.023). Women with low AMH levels have a high probability of treatment cancellation, failure to proceed to embryo transfer and a low chance of achieving a viable pregnancy.
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http://dx.doi.org/10.3109/09513590.2013.797395 | DOI Listing |
Pharmacotherapy
January 2025
Department of Experimental and Clinical Pharmacology, University of Minnesota, Minneapolis, Minnesota, USA.
Background: Lamotrigine clearance can change drastically in pregnant women with epilepsy (PWWE) making it difficult to assess the need for dosing adjustments. Our objective was to characterize lamotrigine pharmacokinetics in PWWE during pregnancy and postpartum along with a control group of nonpregnant women with epilepsy (NPWWE).
Methods: The Maternal Outcomes and Neurodevelopmental Effects of Antiepileptic Drugs (MONEAD) study was a prospective, observational, 20 site, cohort study conducted in the United States (December 2012 and February 2016).
Gut Microbes
December 2025
Division of Gastroenterology, Hepatology, and Nutrition, Virginia Commonwealth University and Richmond VA Medical Center, Richmond, VA, USA.
There is a complex interplay between the gut microbes, liver, and central nervous system, a gut-liver-brain axis, where the brain impacts intestinal and hepatic function while the gut and liver can impact cognition and mental status. Dysregulation of this axis can be seen in numerous diseases. Hepatic encephalopathy, a consequence of cirrhosis, is perhaps the best studied perturbation of this system.
View Article and Find Full Text PDFHum Reprod Open
November 2024
Department of Medical Informatics, Faculty of Medicine, Mashhad University of Medical Sciences, Mashhad, Iran.
Study Question: How accurately can artificial intelligence (AI) models predict sperm retrieval in non-obstructive azoospermia (NOA) patients undergoing micro-testicular sperm extraction (m-TESE) surgery?
Summary Answer: AI predictive models hold significant promise in predicting successful sperm retrieval in NOA patients undergoing m-TESE, although limitations regarding variability of study designs, small sample sizes, and a lack of validation studies restrict the overall generalizability of studies in this area.
What Is Known Already: Previous studies have explored various predictors of successful sperm retrieval in m-TESE, including clinical and hormonal factors. However, no consistent predictive model has yet been established.
World J Clin Cases
January 2025
Department of Gastroenterology, Laiko General Hospital, National and Kapodistrian University of Athens, Athens 11527, Greece.
Machine learning (ML) is a type of artificial intelligence that assists computers in the acquisition of knowledge through data analysis, thus creating machines that can complete tasks otherwise requiring human intelligence. Among its various applications, it has proven groundbreaking in healthcare as well, both in clinical practice and research. In this editorial, we succinctly introduce ML applications and present a study, featured in the latest issue of the .
View Article and Find Full Text PDFFront Vet Sci
December 2024
Faculty of Veterinary Medicine, Veterinary Teaching Hospital, University of Lisbon, Lisbon, Portugal.
Background: A resting cortisol concentration (RC) higher than 2.0 μg/dL (55 nmol/L) is commonly used to rule out hypoadrenocorticism (HA). However, there is a significant overlap of RC between dogs with HA and those with other diseases.
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