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Persistent hyperglycemia is a useful glycemic pattern to predict stroke mortality: a systematic review and meta-analysis

BACKGROUND: Glycemic patterns have been reported to be prognostic factors for stroke; however, this remains to be further evaluated. This meta-analysis aimed to evaluate the usefulness of glycemic patterns such as persistent hyperglycemia (PH) including short duration and long duration PH (SPH; LPH)...

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Autores principales: Hou, Duanlu, Zhong, Ping, Ye, Xiaofei, Wu, Danhong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8670037/
https://www.ncbi.nlm.nih.gov/pubmed/34906119
http://dx.doi.org/10.1186/s12883-021-02512-1
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author Hou, Duanlu
Zhong, Ping
Ye, Xiaofei
Wu, Danhong
author_facet Hou, Duanlu
Zhong, Ping
Ye, Xiaofei
Wu, Danhong
author_sort Hou, Duanlu
collection PubMed
description BACKGROUND: Glycemic patterns have been reported to be prognostic factors for stroke; however, this remains to be further evaluated. This meta-analysis aimed to evaluate the usefulness of glycemic patterns such as persistent hyperglycemia (PH) including short duration and long duration PH (SPH; LPH), admission hyperglycemia (AH), short-duration hyperglycemia (SH), and persistent normoglycemia (PN) in predicting stroke prognosis using published results. METHODS: Major scientific databases including but are not limited to PubMed, EMBASE, Web of Science, Ovid, CNKI (Chinese National Knowledge Infrastructure), and Clinicaltrials.gov were searched till 1st March 2021 for clinical trials on the correlation between glycemic patterns and stroke outcomes. The primary outcome was defined as short-term (1- or 3-month) post-stroke mortality, and the secondary outcome was post-stroke hemorrhage at 6 months. RESULTS: Ten studies involving 3584 individuals were included in the final analysis. In subgroup analyses, PH patients with no history of diabetes had increased post-stroke mortality (odds ratio [OR]: 4.80, 95% CI: 3.06–7.54) than patients with no PH; and patients with glucose levels > 140 mg/dl had greater mortality (OR: 5.12, 95% CI: 3.21–8.18) than those with glucose levels < 140 mg/dl; compared with AH patients, PH patients had increased short-term mortality (OR: 0.31, 95% CI: 0.16–0.60). In the prediction of stroke mortality among patients without diabetes, SPH (OR: 0.28, 95%CI: 0.12–0.69) seemed to be more related to increased mortality than LPH (OR: 0.35, 95% CI: 0.14–-0.90). CONCLUSIONS: PH, especially SPH, could predict increased post-stroke mortality in non-diabetic patients. The rank of individual glycemic patterns in predicting stroke mortality in non-diabetic patients was SPH > LPH > AH > PN. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12883-021-02512-1.
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spelling pubmed-86700372021-12-15 Persistent hyperglycemia is a useful glycemic pattern to predict stroke mortality: a systematic review and meta-analysis Hou, Duanlu Zhong, Ping Ye, Xiaofei Wu, Danhong BMC Neurol Research Article BACKGROUND: Glycemic patterns have been reported to be prognostic factors for stroke; however, this remains to be further evaluated. This meta-analysis aimed to evaluate the usefulness of glycemic patterns such as persistent hyperglycemia (PH) including short duration and long duration PH (SPH; LPH), admission hyperglycemia (AH), short-duration hyperglycemia (SH), and persistent normoglycemia (PN) in predicting stroke prognosis using published results. METHODS: Major scientific databases including but are not limited to PubMed, EMBASE, Web of Science, Ovid, CNKI (Chinese National Knowledge Infrastructure), and Clinicaltrials.gov were searched till 1st March 2021 for clinical trials on the correlation between glycemic patterns and stroke outcomes. The primary outcome was defined as short-term (1- or 3-month) post-stroke mortality, and the secondary outcome was post-stroke hemorrhage at 6 months. RESULTS: Ten studies involving 3584 individuals were included in the final analysis. In subgroup analyses, PH patients with no history of diabetes had increased post-stroke mortality (odds ratio [OR]: 4.80, 95% CI: 3.06–7.54) than patients with no PH; and patients with glucose levels > 140 mg/dl had greater mortality (OR: 5.12, 95% CI: 3.21–8.18) than those with glucose levels < 140 mg/dl; compared with AH patients, PH patients had increased short-term mortality (OR: 0.31, 95% CI: 0.16–0.60). In the prediction of stroke mortality among patients without diabetes, SPH (OR: 0.28, 95%CI: 0.12–0.69) seemed to be more related to increased mortality than LPH (OR: 0.35, 95% CI: 0.14–-0.90). CONCLUSIONS: PH, especially SPH, could predict increased post-stroke mortality in non-diabetic patients. The rank of individual glycemic patterns in predicting stroke mortality in non-diabetic patients was SPH > LPH > AH > PN. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12883-021-02512-1. BioMed Central 2021-12-14 /pmc/articles/PMC8670037/ /pubmed/34906119 http://dx.doi.org/10.1186/s12883-021-02512-1 Text en © The Author(s) 2021 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 Article
Hou, Duanlu
Zhong, Ping
Ye, Xiaofei
Wu, Danhong
Persistent hyperglycemia is a useful glycemic pattern to predict stroke mortality: a systematic review and meta-analysis
title Persistent hyperglycemia is a useful glycemic pattern to predict stroke mortality: a systematic review and meta-analysis
title_full Persistent hyperglycemia is a useful glycemic pattern to predict stroke mortality: a systematic review and meta-analysis
title_fullStr Persistent hyperglycemia is a useful glycemic pattern to predict stroke mortality: a systematic review and meta-analysis
title_full_unstemmed Persistent hyperglycemia is a useful glycemic pattern to predict stroke mortality: a systematic review and meta-analysis
title_short Persistent hyperglycemia is a useful glycemic pattern to predict stroke mortality: a systematic review and meta-analysis
title_sort persistent hyperglycemia is a useful glycemic pattern to predict stroke mortality: a systematic review and meta-analysis
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8670037/
https://www.ncbi.nlm.nih.gov/pubmed/34906119
http://dx.doi.org/10.1186/s12883-021-02512-1
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