2015
DOI: 10.14740/jem313w
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Patterns of Hyperglycemia in Patients With Type 2 Diabetes Mellitus With or Without Hypertension, Requiring Emergency Care and Hospitalization

Abstract: Background: Hyperglycemia is treatable and preventative cause of both microvascular and macrovascular complications in persons with type 2 diabetes mellitus (T2DM). Hyperglycemia is unequivocally associated with poor outcomes especially in hospitalized patients. The aim of this study therefore is to measure the occurrence of hyperglycemic events particularly in patients with T2DM requiring acute care and subsequent hospitalization with or without hypertension and describe the epidemiological features.

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Cited by 1 publication
(2 citation statements)
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“…Lower HbA1c levels are associated with an increased risk of severe hypoglycemia in people with type 1 [ 25 ] and type 2 diabetes [ 26 ]. Seasonal fluctuation has also been reported in hospital attendance and admission for hyperglycemia in people with type 2 diabetes [ 20 ]. The recognition of these season-related patterns may assist short-term organizational resource allocation, such as the increased service provision in the peak months.…”
Section: Discussionmentioning
confidence: 99%
See 1 more Smart Citation
“…Lower HbA1c levels are associated with an increased risk of severe hypoglycemia in people with type 1 [ 25 ] and type 2 diabetes [ 26 ]. Seasonal fluctuation has also been reported in hospital attendance and admission for hyperglycemia in people with type 2 diabetes [ 20 ]. The recognition of these season-related patterns may assist short-term organizational resource allocation, such as the increased service provision in the peak months.…”
Section: Discussionmentioning
confidence: 99%
“…Temporal trends in diabetic emergencies have been investigated at the hospital level [ 19 ] [ 20 ] but trends of demand for prehospital EMS for acute diabetic emergencies have not been reported. The aims of this study were 1) to quantify the temporal trends in utilization of prehospital EMS for acute diabetic emergencies, 2) to model the temporal variation of prehospital diabetic emergencies and 3) to use the model to make short term predictions of future EMS demand for diabetic emergencies.…”
Section: Introductionmentioning
confidence: 99%