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Elevated Fasting Blood Glucose Is Predictive of Poor Outcome in Non-Diabetic Stroke Patients: A Sub-Group Analysis of SMART
BACKGROUND: Although increasing evidence suggests that hyperglycemia following acute stroke adversely affects clinical outcome, whether the association between glycaemia and functional outcome varies between stroke patients with\without pre-diagnosed diabetes remains controversial. We aimed to inves...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2016
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4975495/ https://www.ncbi.nlm.nih.gov/pubmed/27494527 http://dx.doi.org/10.1371/journal.pone.0160674 |
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author | Yao, Ming Ni, Jun Zhou, Lixin Peng, Bin Zhu, Yicheng Cui, Liying |
author_facet | Yao, Ming Ni, Jun Zhou, Lixin Peng, Bin Zhu, Yicheng Cui, Liying |
author_sort | Yao, Ming |
collection | PubMed |
description | BACKGROUND: Although increasing evidence suggests that hyperglycemia following acute stroke adversely affects clinical outcome, whether the association between glycaemia and functional outcome varies between stroke patients with\without pre-diagnosed diabetes remains controversial. We aimed to investigate the relationship between the fasting blood glucose (FBG) and the 6-month functional outcome in a subgroup of SMART cohort and further to assess whether this association varied based on the status of pre-diagnosed diabetes. METHODS: Data of 2862 patients with acute ischemic stroke (629 with pre-diagnosed diabetics) enrolled from SMART cohort were analyzed. Functional outcome at 6-month post-stroke was measured by modified Rankin Scale (mRS) and categorized as favorable (mRS:0–2) or poor (mRS:3–5). Binary logistic regression model, adjusting for age, gender, educational level, history of hypertension and stroke, baseline NIHSS and treatment group, was used in the whole cohort to evaluate the association between admission FBG and functional outcome. Stratified logistic regression analyses were further performed based on the presence/absence of pre-diabetes history. RESULTS: In the whole cohort, multivariable logistical regression showed that poor functional outcome was associated with elevated FBG (OR1.21 (95%CI 1.07–1.37), p = 0.002), older age (OR1.64 (95% CI1.38–1.94), p<0.001), higher NIHSS (OR2.90 (95%CI 2.52–3.33), p<0.001) and hypertension (OR1.42 (95%CI 1.13–1.98), p = 0.04). Stratified logistical regression analysis showed that the association between FBG and functional outcome remained significant only in patients without pre-diagnosed diabetes (OR1.26 (95%CI 1.03–1.55), p = 0.023), but not in those with premorbid diagnosis of diabetes (p = 0.885). CONCLUSION: The present results demonstrate a significant association between elevated FBG after stroke and poor functional outcome in patients without pre-diagnosed diabetes, but not in diabetics. This finding confirms the importance of glycemic control during acute phase of ischemic stroke especially in patients without pre-diagnosed diabetes. Further investigation for developing optimal strategies to control blood glucose level in hyperglycemic setting is therefore of great importance. TRIAL REGISTRATION: ClinicalTrials.gov NCT00664846 |
format | Online Article Text |
id | pubmed-4975495 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2016 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-49754952016-08-25 Elevated Fasting Blood Glucose Is Predictive of Poor Outcome in Non-Diabetic Stroke Patients: A Sub-Group Analysis of SMART Yao, Ming Ni, Jun Zhou, Lixin Peng, Bin Zhu, Yicheng Cui, Liying PLoS One Research Article BACKGROUND: Although increasing evidence suggests that hyperglycemia following acute stroke adversely affects clinical outcome, whether the association between glycaemia and functional outcome varies between stroke patients with\without pre-diagnosed diabetes remains controversial. We aimed to investigate the relationship between the fasting blood glucose (FBG) and the 6-month functional outcome in a subgroup of SMART cohort and further to assess whether this association varied based on the status of pre-diagnosed diabetes. METHODS: Data of 2862 patients with acute ischemic stroke (629 with pre-diagnosed diabetics) enrolled from SMART cohort were analyzed. Functional outcome at 6-month post-stroke was measured by modified Rankin Scale (mRS) and categorized as favorable (mRS:0–2) or poor (mRS:3–5). Binary logistic regression model, adjusting for age, gender, educational level, history of hypertension and stroke, baseline NIHSS and treatment group, was used in the whole cohort to evaluate the association between admission FBG and functional outcome. Stratified logistic regression analyses were further performed based on the presence/absence of pre-diabetes history. RESULTS: In the whole cohort, multivariable logistical regression showed that poor functional outcome was associated with elevated FBG (OR1.21 (95%CI 1.07–1.37), p = 0.002), older age (OR1.64 (95% CI1.38–1.94), p<0.001), higher NIHSS (OR2.90 (95%CI 2.52–3.33), p<0.001) and hypertension (OR1.42 (95%CI 1.13–1.98), p = 0.04). Stratified logistical regression analysis showed that the association between FBG and functional outcome remained significant only in patients without pre-diagnosed diabetes (OR1.26 (95%CI 1.03–1.55), p = 0.023), but not in those with premorbid diagnosis of diabetes (p = 0.885). CONCLUSION: The present results demonstrate a significant association between elevated FBG after stroke and poor functional outcome in patients without pre-diagnosed diabetes, but not in diabetics. This finding confirms the importance of glycemic control during acute phase of ischemic stroke especially in patients without pre-diagnosed diabetes. Further investigation for developing optimal strategies to control blood glucose level in hyperglycemic setting is therefore of great importance. TRIAL REGISTRATION: ClinicalTrials.gov NCT00664846 Public Library of Science 2016-08-05 /pmc/articles/PMC4975495/ /pubmed/27494527 http://dx.doi.org/10.1371/journal.pone.0160674 Text en © 2016 Yao et al http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. |
spellingShingle | Research Article Yao, Ming Ni, Jun Zhou, Lixin Peng, Bin Zhu, Yicheng Cui, Liying Elevated Fasting Blood Glucose Is Predictive of Poor Outcome in Non-Diabetic Stroke Patients: A Sub-Group Analysis of SMART |
title | Elevated Fasting Blood Glucose Is Predictive of Poor Outcome in Non-Diabetic Stroke Patients: A Sub-Group Analysis of SMART |
title_full | Elevated Fasting Blood Glucose Is Predictive of Poor Outcome in Non-Diabetic Stroke Patients: A Sub-Group Analysis of SMART |
title_fullStr | Elevated Fasting Blood Glucose Is Predictive of Poor Outcome in Non-Diabetic Stroke Patients: A Sub-Group Analysis of SMART |
title_full_unstemmed | Elevated Fasting Blood Glucose Is Predictive of Poor Outcome in Non-Diabetic Stroke Patients: A Sub-Group Analysis of SMART |
title_short | Elevated Fasting Blood Glucose Is Predictive of Poor Outcome in Non-Diabetic Stroke Patients: A Sub-Group Analysis of SMART |
title_sort | elevated fasting blood glucose is predictive of poor outcome in non-diabetic stroke patients: a sub-group analysis of smart |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4975495/ https://www.ncbi.nlm.nih.gov/pubmed/27494527 http://dx.doi.org/10.1371/journal.pone.0160674 |
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