Fibroid management in premenopausal women.
Jacques DonnezGuillaume E CourtoyMarie-Madeleine DolmansPublished in: Climacteric : the journal of the International Menopause Society (2019)
Uterine fibroids are the most common tumors affecting premenopausal women, responsible for bleeding, pain, and reduced quality of life. When symptomatic, their management mainly involves surgery, which is all too often radical (hysterectomy). While surgical options sparing the uterus (hysteroscopic and laparoscopic myomectomy) and other non-surgical approaches do indeed exist, drug-based therapies are associated with lower costs and morbidity rates. Since progesterone is required for fibroid growth, gonadotropin agonists have been used to control bleeding and decrease fibroid volume, but they only represent a temporary remedy due to adverse events. Ulipristal acetate (UPA), a selective progesterone receptor modulator, is indicated for fibroid management. It is safe, provides fast control of bleeding, and causes sustained fibroid volume reduction in the vast majority of cases (80%). Indeed, UPA-treated fibroids shrink by a combination of inhibition of cell proliferation, stimulation of cell death, and fibrosis resorption. In the case of symptom recurrence, repeated intermittent 3-month courses of daily UPA considerably maximize the impact of treatment, sometimes resulting in complete disappearance of treated fibroids. Despite the therapeutic dose of UPA being very well tolerated, patients with liver anomalies or disorders should be excluded at screening according to European Medicines Agency-Pharmacovigilance Risk Assessment Committee (PRAC) recommendations. We therefore propose new algorithms for fibroid management in premenopausal women with symptomatic fibroids, depending on their localization, the patient's wishes, and clinical response, while monitoring liver enzymes and bilirubin, as recommended by the PRAC, in order to minimize the risks of possible liver toxicity.
Keyphrases
- pregnancy outcomes
- risk assessment
- cell death
- cell proliferation
- postmenopausal women
- machine learning
- atrial fibrillation
- breast cancer risk
- polycystic ovary syndrome
- pregnant women
- emergency department
- adverse drug
- spinal cord injury
- heavy metals
- adipose tissue
- deep learning
- estrogen receptor
- coronary artery disease
- coronary artery bypass
- skeletal muscle
- insulin resistance
- climate change
- drug induced
- case report
- bone loss