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

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 hyp...

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Autores principales: Kijprasert, Weerapriya, Tarudeeyathaworn, Nilanut, Loketkrawee, Chananthita, Pimpaporn, Thidarat, Pattarasettaseranee, Pornpiyapat, Tangsuwanaruk, Theerapon
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9652909/
https://www.ncbi.nlm.nih.gov/pubmed/36371171
http://dx.doi.org/10.1186/s12873-022-00748-9
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author Kijprasert, Weerapriya
Tarudeeyathaworn, Nilanut
Loketkrawee, Chananthita
Pimpaporn, Thidarat
Pattarasettaseranee, Pornpiyapat
Tangsuwanaruk, Theerapon
author_facet Kijprasert, Weerapriya
Tarudeeyathaworn, Nilanut
Loketkrawee, Chananthita
Pimpaporn, Thidarat
Pattarasettaseranee, Pornpiyapat
Tangsuwanaruk, Theerapon
author_sort Kijprasert, Weerapriya
collection PubMed
description 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 optimism was estimated. RESULTS: Three hundred and eighty-five patients were included, with 97 posttreatment hypoglycemia (25.2%). The predictive model comprised the following three criteria: age > 60 years old, pretreatment blood glucose ≤ 100 mg/dL (≤ 5.6 mmol/L), and pretreatment potassium > 6 mmol/L. The AuROC of this model was 0.671 (95% confidence interval [CI] 0.608 to 0.735). The calibration plot demonstrated consistency with the original data. Hosmer–Lemeshow goodness-of-fit test showed no evidence of lack-of-fit (p 0.792); therefore, the model was also fit to the original data. Internal validation via bootstrap sampling showed a consistent AuROC of 0.670 (95% CI 0.660 to 0.670) with minimal model optimism. A high risk for posttreatment hypoglycemia was indicated if the patient met at least one of those criteria. Sensitivity and specificity were 95.9% and 14.9%, respectively. CONCLUSION: High risk was indicated when at least one of the criteria was met: age > 60 years old, pretreatment blood glucose ≤ 100 mg/dL (≤ 5.6 mmol/L), and pretreatment potassium > 6 mmol/L. Blood glucose levels should frequently check in the high-risk group. TRIAL REGISTRATION: TCTR20210225002 (www.thaiclinicaltrials.org).
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spelling pubmed-96529092022-11-15 Predicting hypoglycemia after treatment of hyperkalemia with insulin and glucose (Glu-K60 score) Kijprasert, Weerapriya Tarudeeyathaworn, Nilanut Loketkrawee, Chananthita Pimpaporn, Thidarat Pattarasettaseranee, Pornpiyapat Tangsuwanaruk, Theerapon BMC Emerg Med Research 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 optimism was estimated. RESULTS: Three hundred and eighty-five patients were included, with 97 posttreatment hypoglycemia (25.2%). The predictive model comprised the following three criteria: age > 60 years old, pretreatment blood glucose ≤ 100 mg/dL (≤ 5.6 mmol/L), and pretreatment potassium > 6 mmol/L. The AuROC of this model was 0.671 (95% confidence interval [CI] 0.608 to 0.735). The calibration plot demonstrated consistency with the original data. Hosmer–Lemeshow goodness-of-fit test showed no evidence of lack-of-fit (p 0.792); therefore, the model was also fit to the original data. Internal validation via bootstrap sampling showed a consistent AuROC of 0.670 (95% CI 0.660 to 0.670) with minimal model optimism. A high risk for posttreatment hypoglycemia was indicated if the patient met at least one of those criteria. Sensitivity and specificity were 95.9% and 14.9%, respectively. CONCLUSION: High risk was indicated when at least one of the criteria was met: age > 60 years old, pretreatment blood glucose ≤ 100 mg/dL (≤ 5.6 mmol/L), and pretreatment potassium > 6 mmol/L. Blood glucose levels should frequently check in the high-risk group. TRIAL REGISTRATION: TCTR20210225002 (www.thaiclinicaltrials.org). BioMed Central 2022-11-12 /pmc/articles/PMC9652909/ /pubmed/36371171 http://dx.doi.org/10.1186/s12873-022-00748-9 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Research
Kijprasert, Weerapriya
Tarudeeyathaworn, Nilanut
Loketkrawee, Chananthita
Pimpaporn, Thidarat
Pattarasettaseranee, Pornpiyapat
Tangsuwanaruk, Theerapon
Predicting hypoglycemia after treatment of hyperkalemia with insulin and glucose (Glu-K60 score)
title Predicting hypoglycemia after treatment of hyperkalemia with insulin and glucose (Glu-K60 score)
title_full Predicting hypoglycemia after treatment of hyperkalemia with insulin and glucose (Glu-K60 score)
title_fullStr Predicting hypoglycemia after treatment of hyperkalemia with insulin and glucose (Glu-K60 score)
title_full_unstemmed Predicting hypoglycemia after treatment of hyperkalemia with insulin and glucose (Glu-K60 score)
title_short Predicting hypoglycemia after treatment of hyperkalemia with insulin and glucose (Glu-K60 score)
title_sort predicting hypoglycemia after treatment of hyperkalemia with insulin and glucose (glu-k60 score)
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9652909/
https://www.ncbi.nlm.nih.gov/pubmed/36371171
http://dx.doi.org/10.1186/s12873-022-00748-9
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