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1.
Endocr Rev ; 45(2): 171-189, 2024 Mar 04.
Artículo en Inglés | MEDLINE | ID: mdl-37559411

RESUMEN

Obesity-related hypogonadotropic hypogonadism is a well-characterized condition in men (termed male obesity-related secondary hypogonadism; MOSH); however, an equivalent condition has not been as clearly described in women. The prevalence of polycystic ovary syndrome (PCOS) is known to increase with obesity, but PCOS is more typically characterized by increased gonadotropin-releasing hormone (GnRH) (and by proxy luteinizing hormone; LH) pulsatility, rather than by the reduced gonadotropin levels observed in MOSH. Notably, LH levels and LH pulse amplitude are reduced with obesity, both in women with and without PCOS, suggesting that an obesity-related secondary hypogonadism may also exist in women akin to MOSH in men. Herein, we examine the evidence for the existence of a putative non-PCOS "female obesity-related secondary hypogonadism" (FOSH). We précis possible underlying mechanisms for the occurrence of hypogonadism in this context and consider how such mechanisms differ from MOSH in men, and from PCOS in women without obesity. In this review, we consider relevant etiological factors that are altered in obesity and that could impact on GnRH pulsatility to ascertain whether they could contribute to obesity-related secondary hypogonadism including: anti-Müllerian hormone, androgen, insulin, fatty acid, adiponectin, and leptin. More precise phenotyping of hypogonadism in women with obesity could provide further validation for non-PCOS FOSH and preface the ability to define/investigate such a condition.


Asunto(s)
Hipogonadismo , Síndrome del Ovario Poliquístico , Femenino , Masculino , Humanos , Hormona Luteinizante , Obesidad/complicaciones , Hipogonadismo/etiología , Andrógenos , Síndrome del Ovario Poliquístico/complicaciones , Hormona Liberadora de Gonadotropina , Hormona Folículo Estimulante
2.
Artículo en Inglés | MEDLINE | ID: mdl-33408084

RESUMEN

INTRODUCTION: Patients with diabetes mellitus admitted to hospital with COVID-19 have poorer outcomes. However, the drivers of poorer outcomes are not fully elucidated. We performed detailed characterization of patients with COVID-19 to determine the clinical and biochemical factors that may be drivers of poorer outcomes. RESEARCH DESIGN AND METHODS: This is a retrospective cohort study of 889 consecutive inpatients diagnosed with COVID-19 between March 9 and April 22, 2020 in a large London National Health Service Trust. Unbiased multivariate logistic regression analysis was performed to determine variables that were independently and significantly associated with increased risk of death and/or intensive care unit (ICU) admission within 30 days of COVID-19 diagnosis. RESULTS: 62% of patients in our cohort were of non-white ethnic background and the prevalence of diabetes was 38%. 323 (36%) patients met the primary outcome of death/admission to the ICU within 30 days of COVID-19 diagnosis. Male gender, lower platelet count, advancing age and higher Clinical Frailty Scale (CFS) score (but not diabetes) independently predicted poor outcomes on multivariate analysis. Antiplatelet medication was associated with a lower risk of death/ICU admission. Factors that were significantly and independently associated with poorer outcomes in patients with diabetes were coexisting ischemic heart disease, increasing age and lower platelet count. CONCLUSIONS: In this large study of a diverse patient population, comorbidity (ie, diabetes with ischemic heart disease; increasing CFS score in older patients) was a major determinant of poor outcomes with COVID-19. Antiplatelet medication should be evaluated in randomized clinical trials among high-risk patient groups.


Asunto(s)
COVID-19/epidemiología , Diabetes Mellitus/epidemiología , Fragilidad/diagnóstico , Unidades de Cuidados Intensivos/estadística & datos numéricos , Adulto , Factores de Edad , Anciano , Anciano de 80 o más Años , COVID-19/terapia , Comorbilidad , Diabetes Mellitus/terapia , Femenino , Fragilidad/epidemiología , Hospitales de Enseñanza , Humanos , Modelos Logísticos , Londres/epidemiología , Masculino , Persona de Mediana Edad , Análisis Multivariante , Estudios Retrospectivos , Factores de Riesgo , Factores Sexuales , Tasa de Supervivencia , Adulto Joven
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