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Sensor-augmented CSII therapy with predictive low-glucose suspend following total pancreatectomy.
Scott, E S; Fulcher, G R; Clifton-Bligh, R J.
Afiliación
  • Scott ES; Department of Endocrinology, Royal North Shore Hospital, Sydney Australia.
  • Fulcher GR; NHMRC Clinical Trials Centre, The University of Sydney, Sydney, Australia.
  • Clifton-Bligh RJ; Department of Endocrinology, Royal North Shore Hospital, Sydney Australia.
Article en En | MEDLINE | ID: mdl-29118986
Pancreatogenic diabetes is characterised by recurrent severe hypoglycaemia due to changes in both endocrine and exocrine functions. There are no guidelines to manage these individuals. Herein, we describe the post-operative management of two people who developed pancreatogenic diabetes following total pancreatectomy for neuroendocrine malignancy. In both individuals, diabetes was managed using sensor-augmented predictive low-glucose suspend continuous subcutaneous insulin infusion (CSII). We demonstrate the benefit of sensor-augmented CSII in averting hypoglycaemia whilst optimising glycaemic control. Expected rates of severe hypoglycaemia in individuals with pancreatogenic diabetes can be averted with the use of continuous glucose monitoring (CGM) technology, optimising quality of life and reducing the risk of diabetes-related complications. LEARNING POINTS: There are no clear guidelines to manage people with pancreatogenic diabetes.We describe the use of CGM with predictive low-glucose suspend continuous subcutaneous insulin infusion (CSII) in the management of two individuals post-pancreatectomy.Predictive low-glucose suspend technology can achieve excellent glycaemic control whilst avoiding recurrent and severe hypoglycaemia in people with pancreatogenic diabetes.Predictive low-glucose suspend CGM should be considered as an effective therapeutic option for the management of pancreatogenic diabetes.
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Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Tipo de estudio: Guideline / Prognostic_studies / Risk_factors_studies Idioma: En Revista: Endocrinol Diabetes Metab Case Rep Año: 2017 Tipo del documento: Article

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Tipo de estudio: Guideline / Prognostic_studies / Risk_factors_studies Idioma: En Revista: Endocrinol Diabetes Metab Case Rep Año: 2017 Tipo del documento: Article