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1.
Endocrinol Metab (Seoul) ; 34(1): 53-62, 2019 03.
Artigo em Inglês | MEDLINE | ID: mdl-30912339

RESUMO

The Korean Endocrine Society (KES) published clinical practice guidelines for the treatment of acromegaly in 2011. Since then, the number of acromegaly cases, publications on studies addressing medical treatment of acromegaly, and demands for improvements in insurance coverage have been dramatically increasing. In 2017, the KES Committee of Health Insurance decided to publish a position statement regarding the use of somatostatin analogues in acromegaly. Accordingly, consensus opinions for the position statement were collected after intensive review of the relevant literature and discussions among experts affiliated with the KES, and the Korean Neuroendocrine Study Group. This position statement includes the characteristics, indications, dose, interval (including extended dose interval in case of lanreotide autogel), switching and preoperative use of somatostatin analogues in medical treatment of acromegaly. The recommended approach is based on the expert opinions in case of insufficient clinical evidence, and where discrepancies among the expert opinions were found, the experts voted to determine the recommended approach.


Assuntos
Acromegalia/tratamento farmacológico , Neuroendocrinologia/organização & administração , Somatostatina/análogos & derivados , Acromegalia/complicações , Acromegalia/epidemiologia , Acromegalia/fisiopatologia , Acromegalia/cirurgia , Antineoplásicos/administração & dosagem , Antineoplásicos/uso terapêutico , Antineoplásicos Hormonais/administração & dosagem , Antineoplásicos Hormonais/uso terapêutico , Atitude , Consenso , Tomada de Decisões , Prova Pericial/métodos , Humanos , Injeções Intramusculares , Seguro Saúde/normas , Octreotida/administração & dosagem , Octreotida/uso terapêutico , Peptídeos Cíclicos/administração & dosagem , Peptídeos Cíclicos/uso terapêutico , Guias de Prática Clínica como Assunto , Período Pré-Operatório , República da Coreia/epidemiologia , Somatostatina/administração & dosagem , Somatostatina/uso terapêutico
2.
Sci Rep ; 8(1): 9262, 2018 06 18.
Artigo em Inglês | MEDLINE | ID: mdl-29915201

RESUMO

Graves' disease (GD) is an autoimmune disorder that causes the overproduction of thyroid hormones and consequent cascade of systemic metabolism dysfunction. Moreover, Graves' ophthalmopathy (GO) is the main extrathyroidal manifestation of Graves' disease (GD). The goal of the study was to identify metabolic signatures in association with diagnostic biomarkers of GD without GO and GO, respectively. Ninety metabolites were profiled and analyzed based on a non-targeted primary metabolite profiling from plasma samples of 21 GD patients without GO, 26 subjects with GO, and 32 healthy subjects. Multivariate statistics showed a clear discrimination between healthy controls and disease group (R2Y = 0.518, Q2 = 0.478) and suggested a biomarker panel consisting of 10 metabolites. Among them, most of metabolites showed the positive association with the levels of thyrotropin receptor antibodies. With combination of proline and 1,5-anhydroglucitol, which were identified as GO-specific modulators, the re-constructed biomarker model greatly improved the statistical power and also facilitated simultaneous discrimination among healthy control, GO, and GD without GO groups (AUC = 0.845-0.935). Finally, the comparative analysis of tissue metabolite profiles from GO patients proposed putative metabolic linkage between orbital adipose/connective tissues and the biofluidic consequences, in which fumarate, proline, phenylalanine, and glycerol were coordinately altered with the blood metabolites.


Assuntos
Oftalmopatia de Graves/patologia , Metabolômica , Órbita/patologia , Glândula Tireoide/patologia , Adulto , Biomarcadores/sangue , Estudos de Casos e Controles , Fatores de Confusão Epidemiológicos , Análise Discriminante , Feminino , Oftalmopatia de Graves/sangue , Oftalmopatia de Graves/metabolismo , Humanos , Análise dos Mínimos Quadrados , Masculino , Redes e Vias Metabólicas , Metaboloma , Análise Multivariada , Curva ROC
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