Fertility and sterility · 2026
Novel polycystic ovary syndrome clusters identified by endocrine-metabolic clustering: impact on reproductive outcomes after fertility treatment.
СтатьяНазвание и аннотация: Перевод в очереди
Обработка статьи · этапы, ошибки и управление
Загрузка состояния…
Ошибки и ограничения
История · было → стало
Состояние обновляется каждые 5 секунд, пока блок открыт. Процент показывается только там, где известен объём работы. Пауза останавливает продолжение этапа; текущий запрос к источнику может завершиться.
Ho Vu N A, Pham Toan D, Nguyen Nam T, Tran Loc T H, Ho Tuong N, Tran Van T T, Le Ho L, Tran Mai T N, Tran Hoanh K, Truong Duyen H, Nguyen Minh H N, Ly Luong D, Ho Tuong M, Norman Robert J, Vuong Lan N
Аннотация
OBJECTIVE: To identify novel polycystic ovary syndrome (PCOS) clusters using endocrine and metabolic clustering and to investigate the impact of these clusters on reproductive and pregnancy outcomes after fertility treatment.
DESIGN: Prospective study.
SUBJECTS: Women diagnosed with PCOS according to the Rotterdam criteria, undergoing fertility treatment.
EXPOSURE: Comprehensive assessment of 27 endocrine and metabolic parameters followed by unsupervised clustering analysis to identify distinct phenotypes; participants subsequently underwent fertility treatment.
MAIN OUTCOME MEASURES: Identification of novel PCOS clusters; comparison of live birth rates and the incidence of major pregnancy complications (gestational diabetes mellitus and hypertension) across the identified clusters.
RESULTS: A total of 1,149 Vietnamese women diagnosed with PCOS were included in this study. Three distinct PCOS clusters were identified: metabolic-disturbance PCOS (MD-PCOS; n = 453), metabolic-sparing PCOS (MS-PCOS; n = 334), and neuro-reproductive PCOS (NR-PCOS; n = 362). The MD-PCOS cluster had severe metabolic dysfunction, whereas the NR-PCOS cluster had the most pronounced neuroendocrine dysregulation. Reproductive outcomes differed significantly, with the MD-PCOS cluster having the lowest live birth rate (44.8% vs. 59.3% in MS-PCOS and 51.4% in NR-PCOS). Rates of pregnancy complications were significantly higher in the MD-PCOS cluster compared with the MS-PCOS and NR-PCOS clusters, respectively, for gestational diabetes mellitus (33% vs. 19% vs. 15%) and hypertension in pregnancy (10% vs. 1% vs. 5%).
CONCLUSION: Endocrine and metabolic clustering identified three novel PCOS phenotypes with distinct clinical profiles and reproductive prognoses. The MD-PCOS cluster represents a high-risk group for adverse pregnancy outcomes, highlighting the clinical utility of this classification for preconception risk stratification.
DESIGN: Prospective study.
SUBJECTS: Women diagnosed with PCOS according to the Rotterdam criteria, undergoing fertility treatment.
EXPOSURE: Comprehensive assessment of 27 endocrine and metabolic parameters followed by unsupervised clustering analysis to identify distinct phenotypes; participants subsequently underwent fertility treatment.
MAIN OUTCOME MEASURES: Identification of novel PCOS clusters; comparison of live birth rates and the incidence of major pregnancy complications (gestational diabetes mellitus and hypertension) across the identified clusters.
RESULTS: A total of 1,149 Vietnamese women diagnosed with PCOS were included in this study. Three distinct PCOS clusters were identified: metabolic-disturbance PCOS (MD-PCOS; n = 453), metabolic-sparing PCOS (MS-PCOS; n = 334), and neuro-reproductive PCOS (NR-PCOS; n = 362). The MD-PCOS cluster had severe metabolic dysfunction, whereas the NR-PCOS cluster had the most pronounced neuroendocrine dysregulation. Reproductive outcomes differed significantly, with the MD-PCOS cluster having the lowest live birth rate (44.8% vs. 59.3% in MS-PCOS and 51.4% in NR-PCOS). Rates of pregnancy complications were significantly higher in the MD-PCOS cluster compared with the MS-PCOS and NR-PCOS clusters, respectively, for gestational diabetes mellitus (33% vs. 19% vs. 15%) and hypertension in pregnancy (10% vs. 1% vs. 5%).
CONCLUSION: Endocrine and metabolic clustering identified three novel PCOS phenotypes with distinct clinical profiles and reproductive prognoses. The MD-PCOS cluster represents a high-risk group for adverse pregnancy outcomes, highlighting the clinical utility of this classification for preconception risk stratification.