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High Glucose Variability Increases Mortality Risk in Patients with COVID-19
BACKGROUND: In patients with COVID 19, with or without history of diabetes, having hyperglycemia is an important factor in mortality; approximately 45.2% of patients with this disease have elevated blood glucose levels. Glucose variability (GV) has also been shown to be an independent predictor of m...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Published by Mosby, Inc.
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8556498/ http://dx.doi.org/10.1016/j.ahj.2021.10.028 |
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author | Guillermo, Arauz Eduardo, Camey Alejandra, Cárcamo Grecia, Celis |
author_facet | Guillermo, Arauz Eduardo, Camey Alejandra, Cárcamo Grecia, Celis |
author_sort | Guillermo, Arauz |
collection | PubMed |
description | BACKGROUND: In patients with COVID 19, with or without history of diabetes, having hyperglycemia is an important factor in mortality; approximately 45.2% of patients with this disease have elevated blood glucose levels. Glucose variability (GV) has also been shown to be an independent predictor of mortality in critically ill patients. A patient is considered uncontrolled if he/she has a value above 36%. Objective: To determine whether GV is a prognostic factor for mortality in patients with COVID-19 admitted to the Intensive Care Unit (ICU) METHODS: All patients with positive PCR for COVID-19, who were admitted to the ICU of the Guatemalan Institute of Social Security during the months of May and June 2021, were subjected to glycosylated hemoglobin and periodic serum glucose samples to calculate the GV, using the coefficient of variation of glucose. RESULTS: To determine the normality of the sample, the Kolmogorov-Smirnov statistic was used, after that, it was determined which variables to include in the statistical model, Student's t-test was used for quantitative variables and chi-square for categorical variables. The following variables were included in the final model: Sex, History of diabetes, Glycosylated Hemoglobin, and GV (p=<0.05), the model predicts between 69 and 97%, according to Cox and Snell and Nagelkerke's R-squared values. Conclusions: Having VG above 36% is associated with mortality in patients with COVID-19 admitted to the ICU. |
format | Online Article Text |
id | pubmed-8556498 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Published by Mosby, Inc. |
record_format | MEDLINE/PubMed |
spelling | pubmed-85564982021-11-01 High Glucose Variability Increases Mortality Risk in Patients with COVID-19 Guillermo, Arauz Eduardo, Camey Alejandra, Cárcamo Grecia, Celis Am Heart J 0035 BACKGROUND: In patients with COVID 19, with or without history of diabetes, having hyperglycemia is an important factor in mortality; approximately 45.2% of patients with this disease have elevated blood glucose levels. Glucose variability (GV) has also been shown to be an independent predictor of mortality in critically ill patients. A patient is considered uncontrolled if he/she has a value above 36%. Objective: To determine whether GV is a prognostic factor for mortality in patients with COVID-19 admitted to the Intensive Care Unit (ICU) METHODS: All patients with positive PCR for COVID-19, who were admitted to the ICU of the Guatemalan Institute of Social Security during the months of May and June 2021, were subjected to glycosylated hemoglobin and periodic serum glucose samples to calculate the GV, using the coefficient of variation of glucose. RESULTS: To determine the normality of the sample, the Kolmogorov-Smirnov statistic was used, after that, it was determined which variables to include in the statistical model, Student's t-test was used for quantitative variables and chi-square for categorical variables. The following variables were included in the final model: Sex, History of diabetes, Glycosylated Hemoglobin, and GV (p=<0.05), the model predicts between 69 and 97%, according to Cox and Snell and Nagelkerke's R-squared values. Conclusions: Having VG above 36% is associated with mortality in patients with COVID-19 admitted to the ICU. Published by Mosby, Inc. 2021-12 2021-10-30 /pmc/articles/PMC8556498/ http://dx.doi.org/10.1016/j.ahj.2021.10.028 Text en Copyright © 2021 Published by Mosby, Inc. Since January 2020 Elsevier has created a COVID-19 resource centre with free information in English and Mandarin on the novel coronavirus COVID-19. The COVID-19 resource centre is hosted on Elsevier Connect, the company's public news and information website. Elsevier hereby grants permission to make all its COVID-19-related research that is available on the COVID-19 resource centre - including this research content - immediately available in PubMed Central and other publicly funded repositories, such as the WHO COVID database with rights for unrestricted research re-use and analyses in any form or by any means with acknowledgement of the original source. These permissions are granted for free by Elsevier for as long as the COVID-19 resource centre remains active. |
spellingShingle | 0035 Guillermo, Arauz Eduardo, Camey Alejandra, Cárcamo Grecia, Celis High Glucose Variability Increases Mortality Risk in Patients with COVID-19 |
title | High Glucose Variability Increases Mortality Risk in Patients with COVID-19 |
title_full | High Glucose Variability Increases Mortality Risk in Patients with COVID-19 |
title_fullStr | High Glucose Variability Increases Mortality Risk in Patients with COVID-19 |
title_full_unstemmed | High Glucose Variability Increases Mortality Risk in Patients with COVID-19 |
title_short | High Glucose Variability Increases Mortality Risk in Patients with COVID-19 |
title_sort | high glucose variability increases mortality risk in patients with covid-19 |
topic | 0035 |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8556498/ http://dx.doi.org/10.1016/j.ahj.2021.10.028 |
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