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Predicting hypoglycemia after treatment of hyperkalemia with insulin and glucose (Glu-K60 score) by Weerapriya Kijprasert; Nilanut Tarudeeyathaworn; Chananthita Loketkrawee; Thidarat Pimpaporn; Pornpiyapat Pattarasettaseranee; Theerapon Tangsuwanaruk is a Medicine article available to read on EtoBox.

What is Predicting hypoglycemia after treatment of hyperkalemia with insulin and glucose (Glu-K60 score) about?

## Abstract ## Background Hyperkalemia can lead to fatal cardiac arrhythmias. Ten units of intravenous (IV) regular insulin with 25 g of glucose is the mainstay for treating hyperkalemia. However, the most important complication of this treatment is hypoglycemia. We aimed to develop a scoring model to predict hypoglycemia after the treatment of hyperkalemia. ## Methods A retrospective study was conducted at a university-based hospital between January 2013 and June 2021. We included the hyperkalemic patients (> 5.3 mmol/L) who were ≥ 18 years old and treated with 10 units of IV regular insulin with 25 g of glucose. Incomplete data on posttreatment blood glucose, pregnancy, and diabetes mellitus were excluded. Endpoint was posttreatment hypoglycemia (≤ 70 mg/dL or ≤ 3.9 mmol/L). Multivariable logistic regression was used to establish a full model and a subsequently reduced model using the backward elimination method. We demonstrated the model performance using the area under the receiver operating characteristic curve (AuROC), calibration plot, and Hosmer–Lemeshow goodness-of-fit test. Internal validation was done with a bootstrap sampling procedure with 1000 replicates. Model optimi

Who reads Predicting hypoglycemia after treatment of hyperkalemia with insulin and glucose (Glu-K60 score)?

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Author
Weerapriya Kijprasert; Nilanut Tarudeeyathaworn; Chananthita Loketkrawee; Thidarat Pimpaporn; Pornpiyapat Pattarasettaseranee; Theerapon Tangsuwanaruk
Publisher
Springer Science and Business Media LLC
Published
2022
Language
EN
Field
Medicine (Health Sciences)

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