Cargando…

A Glycemia-Based Nomogram for Predicting Outcome in Stroke Patients after Endovascular Treatment

Objective: Higher fasting glucose is thought to be associated with adverse outcome in patients receiving endovascular treatment (EVT), while the effect of glycosylated hemoglobin (HbA(1c)) on outcome is controversial. We combined fasting blood glucose (FBG) with HbA(1c) and evaluated their relations...

Descripción completa

Detalles Bibliográficos
Autores principales: Liu, Chengfang, Zhang, Yuqiao, Li, Xiaohui, Liu, Yukai, Jiang, Teng, Wang, Meng, Deng, Qiwen, Zhou, Junshan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9688182/
https://www.ncbi.nlm.nih.gov/pubmed/36421900
http://dx.doi.org/10.3390/brainsci12111576
_version_ 1784836202905468928
author Liu, Chengfang
Zhang, Yuqiao
Li, Xiaohui
Liu, Yukai
Jiang, Teng
Wang, Meng
Deng, Qiwen
Zhou, Junshan
author_facet Liu, Chengfang
Zhang, Yuqiao
Li, Xiaohui
Liu, Yukai
Jiang, Teng
Wang, Meng
Deng, Qiwen
Zhou, Junshan
author_sort Liu, Chengfang
collection PubMed
description Objective: Higher fasting glucose is thought to be associated with adverse outcome in patients receiving endovascular treatment (EVT), while the effect of glycosylated hemoglobin (HbA(1c)) on outcome is controversial. We combined fasting blood glucose (FBG) with HbA(1c) and evaluated their relationship with the three-month functional outcome in patients who underwent EVT. Methods: Data from 739 consecutive ischemic stroke patients who underwent EVT from April 2015 to August 2021 were retrospectively reviewed. HbA(1c) was used to estimate the chronic glucose level according to the following formula: chronic glucose level (mg/dL) = 28.7 × HbA(1c) (%) − 6.7. Patients were split into two groups in accordance with the three-month modified Rankin Scale (mRS). Univariate and multivariate analyses were utilized to investigate the association of outcome with blood glucose and to identify other predictors of prognosis. Results: Patients with poor outcome had significantly higher FBG, chronic glycemia, FBG/chronic glycemic ratio, and difference between FBG and chronic glycemia (Δ(A-C)). FBG, the FBG/chronic glycemic ratio, and Δ(A-C) remained to be associated with poor outcome after adjustment. We then established a glycemia-based nomogram with a concordance index of 0.841, and it showed favorable clinical utility according to decision curve analysis. Conclusions: Glycemia after EVT was connected with the functional outcome and a nomogram based on glycemia may be used to predict prognosis in stroke patients treated with EVT.
format Online
Article
Text
id pubmed-9688182
institution National Center for Biotechnology Information
language English
publishDate 2022
publisher MDPI
record_format MEDLINE/PubMed
spelling pubmed-96881822022-11-25 A Glycemia-Based Nomogram for Predicting Outcome in Stroke Patients after Endovascular Treatment Liu, Chengfang Zhang, Yuqiao Li, Xiaohui Liu, Yukai Jiang, Teng Wang, Meng Deng, Qiwen Zhou, Junshan Brain Sci Article Objective: Higher fasting glucose is thought to be associated with adverse outcome in patients receiving endovascular treatment (EVT), while the effect of glycosylated hemoglobin (HbA(1c)) on outcome is controversial. We combined fasting blood glucose (FBG) with HbA(1c) and evaluated their relationship with the three-month functional outcome in patients who underwent EVT. Methods: Data from 739 consecutive ischemic stroke patients who underwent EVT from April 2015 to August 2021 were retrospectively reviewed. HbA(1c) was used to estimate the chronic glucose level according to the following formula: chronic glucose level (mg/dL) = 28.7 × HbA(1c) (%) − 6.7. Patients were split into two groups in accordance with the three-month modified Rankin Scale (mRS). Univariate and multivariate analyses were utilized to investigate the association of outcome with blood glucose and to identify other predictors of prognosis. Results: Patients with poor outcome had significantly higher FBG, chronic glycemia, FBG/chronic glycemic ratio, and difference between FBG and chronic glycemia (Δ(A-C)). FBG, the FBG/chronic glycemic ratio, and Δ(A-C) remained to be associated with poor outcome after adjustment. We then established a glycemia-based nomogram with a concordance index of 0.841, and it showed favorable clinical utility according to decision curve analysis. Conclusions: Glycemia after EVT was connected with the functional outcome and a nomogram based on glycemia may be used to predict prognosis in stroke patients treated with EVT. MDPI 2022-11-18 /pmc/articles/PMC9688182/ /pubmed/36421900 http://dx.doi.org/10.3390/brainsci12111576 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Liu, Chengfang
Zhang, Yuqiao
Li, Xiaohui
Liu, Yukai
Jiang, Teng
Wang, Meng
Deng, Qiwen
Zhou, Junshan
A Glycemia-Based Nomogram for Predicting Outcome in Stroke Patients after Endovascular Treatment
title A Glycemia-Based Nomogram for Predicting Outcome in Stroke Patients after Endovascular Treatment
title_full A Glycemia-Based Nomogram for Predicting Outcome in Stroke Patients after Endovascular Treatment
title_fullStr A Glycemia-Based Nomogram for Predicting Outcome in Stroke Patients after Endovascular Treatment
title_full_unstemmed A Glycemia-Based Nomogram for Predicting Outcome in Stroke Patients after Endovascular Treatment
title_short A Glycemia-Based Nomogram for Predicting Outcome in Stroke Patients after Endovascular Treatment
title_sort glycemia-based nomogram for predicting outcome in stroke patients after endovascular treatment
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9688182/
https://www.ncbi.nlm.nih.gov/pubmed/36421900
http://dx.doi.org/10.3390/brainsci12111576
work_keys_str_mv AT liuchengfang aglycemiabasednomogramforpredictingoutcomeinstrokepatientsafterendovasculartreatment
AT zhangyuqiao aglycemiabasednomogramforpredictingoutcomeinstrokepatientsafterendovasculartreatment
AT lixiaohui aglycemiabasednomogramforpredictingoutcomeinstrokepatientsafterendovasculartreatment
AT liuyukai aglycemiabasednomogramforpredictingoutcomeinstrokepatientsafterendovasculartreatment
AT jiangteng aglycemiabasednomogramforpredictingoutcomeinstrokepatientsafterendovasculartreatment
AT wangmeng aglycemiabasednomogramforpredictingoutcomeinstrokepatientsafterendovasculartreatment
AT dengqiwen aglycemiabasednomogramforpredictingoutcomeinstrokepatientsafterendovasculartreatment
AT zhoujunshan aglycemiabasednomogramforpredictingoutcomeinstrokepatientsafterendovasculartreatment
AT liuchengfang glycemiabasednomogramforpredictingoutcomeinstrokepatientsafterendovasculartreatment
AT zhangyuqiao glycemiabasednomogramforpredictingoutcomeinstrokepatientsafterendovasculartreatment
AT lixiaohui glycemiabasednomogramforpredictingoutcomeinstrokepatientsafterendovasculartreatment
AT liuyukai glycemiabasednomogramforpredictingoutcomeinstrokepatientsafterendovasculartreatment
AT jiangteng glycemiabasednomogramforpredictingoutcomeinstrokepatientsafterendovasculartreatment
AT wangmeng glycemiabasednomogramforpredictingoutcomeinstrokepatientsafterendovasculartreatment
AT dengqiwen glycemiabasednomogramforpredictingoutcomeinstrokepatientsafterendovasculartreatment
AT zhoujunshan glycemiabasednomogramforpredictingoutcomeinstrokepatientsafterendovasculartreatment