The aim of this review was to determine whether selective serotonin reuptake inhibitors (SSRIs) affect the ability to conceive in men and women of reproductive age, as well as to find out whether there are certain differencies between them in terms of effects on fertility. Our review was based on systematic search of literature in four online databases: Medline (PubMed), Scopus, Web of Science and SCIndex (Serbian Citation Index). Several clinical studies reported that SSRIs can decrease the number and viability of sperm, and cause a disruption of their morphological structure. Regarding the effect of these antidepressants on female fertility, some experimental findings suggest that paroxetine and escitalopram may have a negative effect on the ability to conceive due to their stimulatory effect on fallopian tube motility. However, several observational studies favor the use of SSRIs in women with depression/anxiety undergoing in vitro fertilization (IVF) given their efficiency in suppressing these unpleasant symptoms without a relevant negative impact on IVF outcomes. SSRIs should be avoided male patients of reproductive age who wish to conceive, while the use of these antidepressants seems to be justified in women with depression or anxiety who have undergone IVF.Key pointsSSRIs could cause dose and duration-dependent reversible adverse effects on male fertility parameters.In depressed or anxious male patients of reproductive age who wish to conceive mirtazapine or bupropion should be used because of their lower potential to cause sexual side effects.The results of certain experimental studies indicate that paroxetine and escitalopram may have a negative effect on the fertility of female patients.The use of SSRIs in women with depression or anxiety who have undergone IVF seems to be justified, because these psychiatric disorders reduce the likelihood of becoming pregnant.
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http://dx.doi.org/10.1080/13651501.2021.1872647 | DOI Listing |
JAMA Netw Open
January 2025
Harvard School of Public Health, Boston, Massachusetts.
Importance: Improving access to high-quality maternity care and reducing maternal morbidity and mortality are major policy priorities in the US. Previous research has primarily focused on access to general obstetric care rather than access to high-risk pregnancy care provided by maternal-fetal medicine subspecialists (MFMs).
Objective: To measure access to MFM services and determine patient factors associated with MFM service use, including MFM telemedicine.
J Endocrinol Invest
January 2025
Department of Medicine, University of Padova, Padua, Italy.
Purpose: Infertility is defined as the inability to conceive after 1 year of unprotected intercourse, affecting approximately 15-20% of couples in Western countries. It is a shared problem within the couple; when the main issue lies with one of the partners, it is preferable to refer to "male factor" or "female factor" infertility rather than simply male or female infertility. Despite male factor infertility accounting for half of all couple infertility cases, the clinical approach to the male partner is not uniformly standardized across international guidelines.
View Article and Find Full Text PDFEndocr Connect
January 2025
X Jiang, Human Sperm Bank, Sichuan University West China Second University Hospital, Chengdu, China.
Anti-Müllerian hormone (AMH), a biomarker secreted by Sertoli cells in the testes, has emerged as a critical indicator of male reproductive function with significant clinical application potential. AMH reflects Sertoli cell activity and plays a pivotal role across different stages of male gonadal function. Firstly, in prepubertal males, AMH levels are crucial for assessing testicular development and the progression of puberty, with delayed or insufficient AMH secretion often being associated with disorders like delayed puberty.
View Article and Find Full Text PDFAm J Cancer Res
December 2024
Department of Reproductive Medicine, The First Affiliated Hospital, Jinan University Guangzhou 510000, Guangdong, China.
This study aims to construct and optimize risk prediction models for lymph node metastasis (LNM) in endometrial carcinoma (EC) patients, thus improving the identification of patients at high risk of LNM and further providing accurate support for clinical decision-making. This retrospective analysis included 541 cases of EC treated at The First Affiliated Hospital, Jinan University between January 2017 and January 2022. Various clinical and pathological variables were incorporated, including age, body mass index (BMI), pathological grading, myometrial invasion, lymphovascular space invasion (LVSI), estrogen receptor (ER) and progesterone receptor (PR) levels, and tumor size.
View Article and Find Full Text PDFInfect Dis Model
March 2025
Mathematical Sciences, School of Science, RMIT University, Melbourne, Australia.
This paper examines a recently developed statistical approach for evaluating the effectiveness of vaccination campaigns in terms of deaths averted. The statistical approach makes predictions by comparing death rates in the vaccinated and unvaccinated populations. The statistical approach is preferred for its simplicity and straightforwardness, especially when compared to the difficulties involved when fitting the many parameters of a dynamic SIRD-type model, which may even be an impossible task.
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