Background: Childhood cancer survivors who retain ovarian function after completing cancer treatment are at increased risk of developing premature menopause, defined as cessation of menses before age 40 years. However, published data pertaining to the risk and frequency of premature menopause are limited.
Methods: We assessed the incidence of and risk factors for premature menopause in 2819 survivors of childhood cancer who were older than 18 years and were participants in the multicenter Childhood Cancer Survivor Study (CCSS). The comparison group was 1065 female siblings of participants in the CCSS. A multiple Poisson regression model was constructed to determine risk factors for nonsurgical premature menopause. All statistical tests were two-sided.
Results: A total of 126 childhood cancer survivors and 33 control siblings developed premature menopause. Of these women, 61 survivors (48%) and 31 siblings (94%) had surgically induced menopause (rate ratio [RR] = 0.8, 95% confidence interval [CI] = 0.52 to 1.23). However, the cumulative incidence of nonsurgical premature menopause was higher for survivors than for siblings (8% versus 0.8%; RR = 13.21, 95% CI = 3.26 to 53.51; P<.001). A multiple Poisson regression model showed that risk factors for nonsurgical premature menopause included attained age, exposure to increasing doses of radiation to the ovaries, increasing alkylating agent score (based on number of alkylating agents and cumulative dose), and a diagnosis of Hodgkin lymphoma. For survivors who were treated with alkylating agents plus abdominopelvic radiation, the cumulative incidence of nonsurgical premature menopause approached 30%.
Conclusions: The results of this study will facilitate counseling current survivors about their future risk of premature menopause and aid in designing new regimens that seek to diminish late ovarian toxicity.
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http://dx.doi.org/10.1093/jnci/djj243 | DOI Listing |
Int J Gynaecol Obstet
January 2025
Retired Professor in Hematology, Faculty of Medicine, Ufuk University, Ankara, Turkey.
Alzheimers Dement
December 2024
Centre for Brain Research, Indian Institute of Science, Bangalore, Karnataka, India.
Background: Studies have reported the neuroprotective role of estrogen, and that the post-menopausal state could be a risk factor for cognitive decline. However, the relationship between menopausal age and cognitive functions has not been adequately studied in the Indian population.
Method: Srinivaspura Neuro Senescence and Cognition (SANSCOG) is an ongoing rural community-based longitudinal study on aging in India.
Cureus
November 2024
Department of Obstetrics and Gynecology, Fertility Institute, Assisted Reproduction Unit, Athens, GRC.
The study focuses on spontaneous conception after menopause in a woman with primary ovarian insufficiency (POI), with an emphasis on the role of anti-Müllerian hormone (AMH) in fertility management. This case involves a 33-year-old woman with POI who has experienced both aided and spontaneous pregnancies. She had low AMH and high follicle-stimulating hormone (FSH) levels, which typically indicate a limited ovarian reserve.
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December 2024
Faculty of Medicine and Health, The University of Sydney Westmead Applied Research Centre, Westmead, New South Wales, Australia
Background: Menopause is a timely opportunity to screen for cardiovascular disease (CVD) and intervene with healthier lifestyles. We investigated the association between premature/early menopause and the likelihood of CVD and whether a healthy lifestyle is associated with a lower likelihood of CVD in menopausal woman.
Methods: The Sax Institute's 45 and Up Study prospectively recruited participants aged ≥45 years (n=267 357) between 2005 and 2009 (New South Wales, Australia).
Front Endocrinol (Lausanne)
December 2024
Department of Obstetrics and Gynecology, The Seventh Medical Center of People's Liberation Army General Hospital, Beijing, China.
Objective: This study aims to evaluate the utility of polygenic risk scores (PRS) in women with early menopause (EM) and to investigate the clinical characteristics and risk factors associated with EM based on genetic risk.
Study Design: Genotyping data and clinical data from women with EM and women with normal age of menopause retrieved from UK Biobank were used for early menopause risk prediction model establishment. Subsequently, 99 women diagnosed with EM and 1027 control women underwent PGT-M were recruited for model validation from across eight hospitals in China.
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