Search citation statements
Paper Sections
Citation Types
Year Published
Publication Types
Relationship
Authors
Journals
BACKGROUND Functional hypothalamic amenorrhoea (FHA) is responsible for 20–35% of all cases of secondary amenorrhoea and, thus, is the second most common cause of secondary amenorrhoea after polycystic ovary syndrome (PCOS). A high number of patients with FHA reveal polycystic ovarian morphology (PCOM) on ultrasound. The combination of amenorrhoea and PCOM can lead to confusion. First, amenorrhoeic women with PCOM fulfil the revised Rotterdam criteria and, thus, can easily be misdiagnosed with PCOS. Moreover, it has been claimed that some women with FHA and concomitant PCOM differ from those without PCOM in terms of endocrine regulation and metabolic traits. OBJECTIVE AND RATIONALE The main focus of this article was on studies about FHA, which differentiated between patients with or without PCOM. The aim was to estimate the prevalence of PCOM and to look if it has an impact on pathophysiologic, diagnostic and therapeutic issues as well as on long-term consequences. SEARCH METHODS Peer review original and review articles were selected from PubMed searches for this review. Searches were performed using the search terms ‘polycystic AND functional hypothalamic amenorrhoea’. The reference lists of publications found were searched for relevant additional studies. The inclusion criteria for publications were: English language, patients’ age ≥ 18 years, year of publication >1980, original studies, validated diagnosis of FHA, and validated diagnosis of PCOM using transvaginal ultrasound. OUTCOMES The prevalence of PCOM in women with FHA varied from 41.9% to 46.7%, which is higher than in healthy non-PCOS controls. Hypothetically, the high prevalence might be due to a mixture of silent PCOM, as in the general population, and pre-existing PCOS. Several differences in metabolic and hormonal parameters were found between FHA-PCOM and FHA-non-PCOM patients. While oestrogen deficiency is common to both groups of patients, FHA-PCOM patients have a higher BMI, higher levels of anti-Müllerian hormone (AMH) and testosterone, a higher increase in LH in the course of a GnRH test, and lower sex hormone binding globulin (SHBG) levels than FHA-non-PCOM patients. The differential diagnosis between FHA-PCOM and PCOS, especially PCOS phenotype D (PCOM and oligo-/anovulation without hyperandrogenism), can be challenging. Several parameters have been suggested, which are helpful though not absolutely reliable. They include the typical causes for FHA (excessive exercise, energy deficit, and/or psychological stress), the serum levels of LH, testosterone, and SHBG, as well as the progestin challenge test. Whether FHA-PCOM has a different risk profile for long-term consequences concerning patients’ metabolic and cardiovascular situation as well as their bone mass, is unclear. Concerning therapeutic aspects, there are only few data about FHA-PCOM compared to FHA-non-PCOM. To treat anovulation, the use of pulsatile GnRH treatment seems to be equally effective in both groups. Similar to FHA-non-PCOM patients, pulsatile GnRH therapy would be more efficient than exogenous gonadotropins in FHA-PCOM patients. WIDER IMPLICATIONS Women with FHA-PCOM present a special sub-population of FHA patients. The diagnostic pitfall of FHA-PCOM should be emphasized in clinical guidelines about FHA and PCOS. The fact that almost half of the women with FHA have an ovarian follicle excess (i.e. PCOM) in face of low gonadotropin serum levels suggests that the intra-ovarian regulation of folliculogenesis is subject to individual variations, for unknown reasons, either genetic or epigenetic. Further studies are needed to investigate this hypothesis. REGISTRATION NUMBER Not applicable.
BACKGROUND Functional hypothalamic amenorrhoea (FHA) is responsible for 20–35% of all cases of secondary amenorrhoea and, thus, is the second most common cause of secondary amenorrhoea after polycystic ovary syndrome (PCOS). A high number of patients with FHA reveal polycystic ovarian morphology (PCOM) on ultrasound. The combination of amenorrhoea and PCOM can lead to confusion. First, amenorrhoeic women with PCOM fulfil the revised Rotterdam criteria and, thus, can easily be misdiagnosed with PCOS. Moreover, it has been claimed that some women with FHA and concomitant PCOM differ from those without PCOM in terms of endocrine regulation and metabolic traits. OBJECTIVE AND RATIONALE The main focus of this article was on studies about FHA, which differentiated between patients with or without PCOM. The aim was to estimate the prevalence of PCOM and to look if it has an impact on pathophysiologic, diagnostic and therapeutic issues as well as on long-term consequences. SEARCH METHODS Peer review original and review articles were selected from PubMed searches for this review. Searches were performed using the search terms ‘polycystic AND functional hypothalamic amenorrhoea’. The reference lists of publications found were searched for relevant additional studies. The inclusion criteria for publications were: English language, patients’ age ≥ 18 years, year of publication >1980, original studies, validated diagnosis of FHA, and validated diagnosis of PCOM using transvaginal ultrasound. OUTCOMES The prevalence of PCOM in women with FHA varied from 41.9% to 46.7%, which is higher than in healthy non-PCOS controls. Hypothetically, the high prevalence might be due to a mixture of silent PCOM, as in the general population, and pre-existing PCOS. Several differences in metabolic and hormonal parameters were found between FHA-PCOM and FHA-non-PCOM patients. While oestrogen deficiency is common to both groups of patients, FHA-PCOM patients have a higher BMI, higher levels of anti-Müllerian hormone (AMH) and testosterone, a higher increase in LH in the course of a GnRH test, and lower sex hormone binding globulin (SHBG) levels than FHA-non-PCOM patients. The differential diagnosis between FHA-PCOM and PCOS, especially PCOS phenotype D (PCOM and oligo-/anovulation without hyperandrogenism), can be challenging. Several parameters have been suggested, which are helpful though not absolutely reliable. They include the typical causes for FHA (excessive exercise, energy deficit, and/or psychological stress), the serum levels of LH, testosterone, and SHBG, as well as the progestin challenge test. Whether FHA-PCOM has a different risk profile for long-term consequences concerning patients’ metabolic and cardiovascular situation as well as their bone mass, is unclear. Concerning therapeutic aspects, there are only few data about FHA-PCOM compared to FHA-non-PCOM. To treat anovulation, the use of pulsatile GnRH treatment seems to be equally effective in both groups. Similar to FHA-non-PCOM patients, pulsatile GnRH therapy would be more efficient than exogenous gonadotropins in FHA-PCOM patients. WIDER IMPLICATIONS Women with FHA-PCOM present a special sub-population of FHA patients. The diagnostic pitfall of FHA-PCOM should be emphasized in clinical guidelines about FHA and PCOS. The fact that almost half of the women with FHA have an ovarian follicle excess (i.e. PCOM) in face of low gonadotropin serum levels suggests that the intra-ovarian regulation of folliculogenesis is subject to individual variations, for unknown reasons, either genetic or epigenetic. Further studies are needed to investigate this hypothesis. REGISTRATION NUMBER Not applicable.
AimDescribe the current phenotypes and clinical laboratory data regarding polycystic ovary syndrome (PCOS) in Japan, taking into account ethnic differences and obesity status.MethodsData for 986 PCOS cases and 965 control cases were collected using a nationwide survey in Japan. Obese/overweight (body mass index [BMI] ≥25 kg/m2) and non‐obese/overweight (BMI <25 kg/m2) cases were compared.ResultsJapanese PCOS cases predominantly involved non‐obese/overweight patients, accounting for 75% of all cases. Among non‐obese/overweight PCOS cases, the incidence of both amenorrhea and clinical/biochemical hyperandrogenism was significantly lower than in obese/overweight PCOS cases, whereas the rate of elevated serum luteinizing hormone (LH) level was significantly higher. Even though the incidence of hirsutism in Japan is only 13.5%, the detection rate for hyperandrogenism increased by as much as 30.4% when hirsutism was added to the Japan Society of Obstetrics and Gynecology (JSOG) criteria for the diagnosis of hyperandrogenism in addition to elevated serum total testosterone level. When evaluated based on timing of blood sampling, the LH level and LH/follicle‐stimulating hormone ratio determined at the initial consultation involving a chief complaint of irregular menstrual cycle (after confirming the absence of follicles measuring ≥1 cm in diameter) were significantly higher than on days 2–3 or 4–6 of the menstrual cycle.ConclusionsEthnic differences, including obesity status, affected the phenotype and clinical laboratory data of Japanese PCOS patients, such as the incidence rates of clinical/biochemical hyperandrogenism and the rate of elevated basal LH level. Adding hirsutism to the JSOG 2024 criteria would enhance the accuracy of PCOS diagnosis and enhance consistency with the Rotterdam 2003 criteria. Measuring basal LH level is useful for assessing the endocrinologic characteristics of Japanese PCOS cases, as well as lean Asian PCOS cases, but the timing of blood sampling can affect the result.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
customersupport@researchsolutions.com
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.
Copyright © 2024 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.