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Risk of stroke-associated pneumonia during hospitalization: predictive ability of combined A(2)DS(2) score and hyperglycemia
BACKGROUND: Stroke-associated pneumonia (SAP) is a common complication of cerebrovascular disease. The A(2)DS(2) score has been used to predict the risk of SAP. However, hyperglycemia is not included in this scale. The purpose of the present study was to explore whether the A(2)DS(2) scoring system...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6876087/ https://www.ncbi.nlm.nih.gov/pubmed/31766993 http://dx.doi.org/10.1186/s12883-019-1497-x |
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author | Li, Yang Zhang, Yu Ma, Liansheng Niu, Xiaoyuan Chang, Junsen |
author_facet | Li, Yang Zhang, Yu Ma, Liansheng Niu, Xiaoyuan Chang, Junsen |
author_sort | Li, Yang |
collection | PubMed |
description | BACKGROUND: Stroke-associated pneumonia (SAP) is a common complication of cerebrovascular disease. The A(2)DS(2) score has been used to predict the risk of SAP. However, hyperglycemia is not included in this scale. The purpose of the present study was to explore whether the A(2)DS(2) scoring system and hyperglycemia could predict the risk of SAP more effectively than the conventional A(2)DS(2) scale. METHODS: This retrospective study enrolled 2552 patients with acute ischemic stroke. The A(2)DS(2) scores, fasting blood glucose level and blood glucose level on admission were collected. Regression analysis was used to identify the independent risk factors of SAP. ROC curve analysis was used to evaluate the specificity and sensitivity of the combined A(2)DS(2) score and fasting hyperglycemia for predicting SAP. RESULTS: Fasting hyperglycemia was an independent risk factor for SAP (OR = 2.95; 95% confidence interval: 2.11–4.12; P < 0.001). The area under curve of the combined A(2)DS(2) score and fasting hyperglycemia was significantly higher than that of the A(2)DS(2) score alone (0.814 vs. 0.793; P = 0.020). CONCLUSION: Fasting hyperglycemia is an independent risk factor for predicting SAP. Compared with the A2DS2 score, the modified A2DS2 score (combined A2DS2 score and fasting hyperglycemia) is more effective in predicting the risk of SAP. |
format | Online Article Text |
id | pubmed-6876087 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-68760872019-11-29 Risk of stroke-associated pneumonia during hospitalization: predictive ability of combined A(2)DS(2) score and hyperglycemia Li, Yang Zhang, Yu Ma, Liansheng Niu, Xiaoyuan Chang, Junsen BMC Neurol Research Article BACKGROUND: Stroke-associated pneumonia (SAP) is a common complication of cerebrovascular disease. The A(2)DS(2) score has been used to predict the risk of SAP. However, hyperglycemia is not included in this scale. The purpose of the present study was to explore whether the A(2)DS(2) scoring system and hyperglycemia could predict the risk of SAP more effectively than the conventional A(2)DS(2) scale. METHODS: This retrospective study enrolled 2552 patients with acute ischemic stroke. The A(2)DS(2) scores, fasting blood glucose level and blood glucose level on admission were collected. Regression analysis was used to identify the independent risk factors of SAP. ROC curve analysis was used to evaluate the specificity and sensitivity of the combined A(2)DS(2) score and fasting hyperglycemia for predicting SAP. RESULTS: Fasting hyperglycemia was an independent risk factor for SAP (OR = 2.95; 95% confidence interval: 2.11–4.12; P < 0.001). The area under curve of the combined A(2)DS(2) score and fasting hyperglycemia was significantly higher than that of the A(2)DS(2) score alone (0.814 vs. 0.793; P = 0.020). CONCLUSION: Fasting hyperglycemia is an independent risk factor for predicting SAP. Compared with the A2DS2 score, the modified A2DS2 score (combined A2DS2 score and fasting hyperglycemia) is more effective in predicting the risk of SAP. BioMed Central 2019-11-25 /pmc/articles/PMC6876087/ /pubmed/31766993 http://dx.doi.org/10.1186/s12883-019-1497-x Text en © The Author(s). 2019 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided 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 Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated. |
spellingShingle | Research Article Li, Yang Zhang, Yu Ma, Liansheng Niu, Xiaoyuan Chang, Junsen Risk of stroke-associated pneumonia during hospitalization: predictive ability of combined A(2)DS(2) score and hyperglycemia |
title | Risk of stroke-associated pneumonia during hospitalization: predictive ability of combined A(2)DS(2) score and hyperglycemia |
title_full | Risk of stroke-associated pneumonia during hospitalization: predictive ability of combined A(2)DS(2) score and hyperglycemia |
title_fullStr | Risk of stroke-associated pneumonia during hospitalization: predictive ability of combined A(2)DS(2) score and hyperglycemia |
title_full_unstemmed | Risk of stroke-associated pneumonia during hospitalization: predictive ability of combined A(2)DS(2) score and hyperglycemia |
title_short | Risk of stroke-associated pneumonia during hospitalization: predictive ability of combined A(2)DS(2) score and hyperglycemia |
title_sort | risk of stroke-associated pneumonia during hospitalization: predictive ability of combined a(2)ds(2) score and hyperglycemia |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6876087/ https://www.ncbi.nlm.nih.gov/pubmed/31766993 http://dx.doi.org/10.1186/s12883-019-1497-x |
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