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Elevated Glycemic Gap Predicts Acute Respiratory Failure and In-hospital Mortality in Acute Heart Failure Patients with Diabetes

Diabetes is a common comorbidity in patients hospitalized for acute heart failure (AHF), but the relationship between admission glucose level, glycemic gap, and in-hospital mortality in patients with both conditions has not been investigated thoroughly. Clinical data for admission glucose, glycemic...

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Autores principales: Liao, Wen-I, Wang, Jen-Chun, Lin, Chin-Sheng, Yang, Chih-Jen, Hsu, Chia-Ching, Chu, Shi-Jye, Chu, Chi-Ming, Tsai, Shih-Hung
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6472356/
https://www.ncbi.nlm.nih.gov/pubmed/31000758
http://dx.doi.org/10.1038/s41598-019-42666-0
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author Liao, Wen-I
Wang, Jen-Chun
Lin, Chin-Sheng
Yang, Chih-Jen
Hsu, Chia-Ching
Chu, Shi-Jye
Chu, Chi-Ming
Tsai, Shih-Hung
author_facet Liao, Wen-I
Wang, Jen-Chun
Lin, Chin-Sheng
Yang, Chih-Jen
Hsu, Chia-Ching
Chu, Shi-Jye
Chu, Chi-Ming
Tsai, Shih-Hung
author_sort Liao, Wen-I
collection PubMed
description Diabetes is a common comorbidity in patients hospitalized for acute heart failure (AHF), but the relationship between admission glucose level, glycemic gap, and in-hospital mortality in patients with both conditions has not been investigated thoroughly. Clinical data for admission glucose, glycemic gap and in-hospital death in 425 diabetic patients hospitalized because of AHF were collected retrospectively. Glycemic gap was calculated as the A1c-derived average glucose subtracted from the admission plasma glucose level. Receiver operating characteristic (ROC) curves were used to determine the optimal cutoff value for glycemic gap to predict all-cause mortality. Patients with glycemic gap levels >43 mg/dL had higher rates of all-cause death (adjusted hazard ratio, 7.225, 95% confidence interval, 1.355–38.520) than those with glycemic gap levels ≤43 mg/dL. The B-type natriuretic peptide levels incorporated with glycemic gap could increase the predictive capacity for in-hospital mortality and increase the area under the ROC from 0.764 to 0.805 (net reclassification improvement = 9.9%, p < 0.05). In conclusion, glycemic gap may be considered a useful parameter for predicting the disease severity and prognosis of patients with diabetes hospitalized for AHF.
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spelling pubmed-64723562019-04-25 Elevated Glycemic Gap Predicts Acute Respiratory Failure and In-hospital Mortality in Acute Heart Failure Patients with Diabetes Liao, Wen-I Wang, Jen-Chun Lin, Chin-Sheng Yang, Chih-Jen Hsu, Chia-Ching Chu, Shi-Jye Chu, Chi-Ming Tsai, Shih-Hung Sci Rep Article Diabetes is a common comorbidity in patients hospitalized for acute heart failure (AHF), but the relationship between admission glucose level, glycemic gap, and in-hospital mortality in patients with both conditions has not been investigated thoroughly. Clinical data for admission glucose, glycemic gap and in-hospital death in 425 diabetic patients hospitalized because of AHF were collected retrospectively. Glycemic gap was calculated as the A1c-derived average glucose subtracted from the admission plasma glucose level. Receiver operating characteristic (ROC) curves were used to determine the optimal cutoff value for glycemic gap to predict all-cause mortality. Patients with glycemic gap levels >43 mg/dL had higher rates of all-cause death (adjusted hazard ratio, 7.225, 95% confidence interval, 1.355–38.520) than those with glycemic gap levels ≤43 mg/dL. The B-type natriuretic peptide levels incorporated with glycemic gap could increase the predictive capacity for in-hospital mortality and increase the area under the ROC from 0.764 to 0.805 (net reclassification improvement = 9.9%, p < 0.05). In conclusion, glycemic gap may be considered a useful parameter for predicting the disease severity and prognosis of patients with diabetes hospitalized for AHF. Nature Publishing Group UK 2019-04-18 /pmc/articles/PMC6472356/ /pubmed/31000758 http://dx.doi.org/10.1038/s41598-019-42666-0 Text en © The Author(s) 2019 Open Access This 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 license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license 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 license, visit http://creativecommons.org/licenses/by/4.0/.
spellingShingle Article
Liao, Wen-I
Wang, Jen-Chun
Lin, Chin-Sheng
Yang, Chih-Jen
Hsu, Chia-Ching
Chu, Shi-Jye
Chu, Chi-Ming
Tsai, Shih-Hung
Elevated Glycemic Gap Predicts Acute Respiratory Failure and In-hospital Mortality in Acute Heart Failure Patients with Diabetes
title Elevated Glycemic Gap Predicts Acute Respiratory Failure and In-hospital Mortality in Acute Heart Failure Patients with Diabetes
title_full Elevated Glycemic Gap Predicts Acute Respiratory Failure and In-hospital Mortality in Acute Heart Failure Patients with Diabetes
title_fullStr Elevated Glycemic Gap Predicts Acute Respiratory Failure and In-hospital Mortality in Acute Heart Failure Patients with Diabetes
title_full_unstemmed Elevated Glycemic Gap Predicts Acute Respiratory Failure and In-hospital Mortality in Acute Heart Failure Patients with Diabetes
title_short Elevated Glycemic Gap Predicts Acute Respiratory Failure and In-hospital Mortality in Acute Heart Failure Patients with Diabetes
title_sort elevated glycemic gap predicts acute respiratory failure and in-hospital mortality in acute heart failure patients with diabetes
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6472356/
https://www.ncbi.nlm.nih.gov/pubmed/31000758
http://dx.doi.org/10.1038/s41598-019-42666-0
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