Cargando…

Association between the stress hyperglycemia ratio and severity of coronary artery disease under different glucose metabolic states

BACKGROUND: Stress hyperglycemia ratio (SHR) is significantly related to adverse cardiovascular clinical outcomes and increased in-hospital mortality. However, the relationship between SHR and coronary artery disease (CAD) severity has hitherto not been reported. This study sought to clarify the rel...

Descripción completa

Detalles Bibliográficos
Autores principales: Zhang, Yu, Song, Haiyan, Bai, Jing, Xiu, Jiahui, Wu, Ganggang, Zhang, Liao, Wu, Yunhe, Qu, Ying
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9909934/
https://www.ncbi.nlm.nih.gov/pubmed/36755256
http://dx.doi.org/10.1186/s12933-023-01759-x
_version_ 1784884679840628736
author Zhang, Yu
Song, Haiyan
Bai, Jing
Xiu, Jiahui
Wu, Ganggang
Zhang, Liao
Wu, Yunhe
Qu, Ying
author_facet Zhang, Yu
Song, Haiyan
Bai, Jing
Xiu, Jiahui
Wu, Ganggang
Zhang, Liao
Wu, Yunhe
Qu, Ying
author_sort Zhang, Yu
collection PubMed
description BACKGROUND: Stress hyperglycemia ratio (SHR) is significantly related to adverse cardiovascular clinical outcomes and increased in-hospital mortality. However, the relationship between SHR and coronary artery disease (CAD) severity has hitherto not been reported. This study sought to clarify the relationship between the SHR and CAD severity of individuals with different glucose metabolic statuses. METHODS: A retrospective analysis was performed on 987 patients who underwent coronary angiography (CAG) from October 2020 to May 2022. Based on CAG results, patients were divided into single-vessel CAD and multi-vessel CAD groups. All subjects were stratified into three groups according to the tertiles of the SHR (T1 group: SHR < 0.930; T2 group: 0.930 ≤ SHR < 1.154; T3 group: 1.154 ≤ SHR). Moreover, according to glucose metabolism status, study subjects were divided into normal glucose regulation (NGR), pre-diabetes mellitus (pre-DM) and diabetes mellitus (DM) groups. Finally, the correlation between SHR and CAD severity was analyzed by logistic regression analysis and receiver operating characteristic (ROC) curve. RESULTS: The results showed significantly higher SHR in the multi-vessel CAD group than in the single-vessel group. Logistic regression analysis showed that SHR was an independent risk factor for multi-vessel CAD when used as a continuous variable (OR, 4.047; 95% CI 2.137–7.663; P < 0.001). After adjusting for risk factors, the risk of multi-vessel CAD in the T2 and T3 groups was 1.939-fold (95% CI 1.341–2.804; P < 0.001) and 1.860-fold (95% CI 1.272–2.719; P = 0.001) higher than in the T1 group, respectively. The area under the curve (AUC) of ROC plots was 0.613 for SHR. In addition, SHR was significantly correlated with an increased risk of multi-vessel CAD in the pre-DM and DM groups. CONCLUSIONS: Our study indicated that SHR was significantly correlated with the risk of multi-vessel CAD and predicted CAD severity, especially in pre-DM and DM patients.
format Online
Article
Text
id pubmed-9909934
institution National Center for Biotechnology Information
language English
publishDate 2023
publisher BioMed Central
record_format MEDLINE/PubMed
spelling pubmed-99099342023-02-10 Association between the stress hyperglycemia ratio and severity of coronary artery disease under different glucose metabolic states Zhang, Yu Song, Haiyan Bai, Jing Xiu, Jiahui Wu, Ganggang Zhang, Liao Wu, Yunhe Qu, Ying Cardiovasc Diabetol Research BACKGROUND: Stress hyperglycemia ratio (SHR) is significantly related to adverse cardiovascular clinical outcomes and increased in-hospital mortality. However, the relationship between SHR and coronary artery disease (CAD) severity has hitherto not been reported. This study sought to clarify the relationship between the SHR and CAD severity of individuals with different glucose metabolic statuses. METHODS: A retrospective analysis was performed on 987 patients who underwent coronary angiography (CAG) from October 2020 to May 2022. Based on CAG results, patients were divided into single-vessel CAD and multi-vessel CAD groups. All subjects were stratified into three groups according to the tertiles of the SHR (T1 group: SHR < 0.930; T2 group: 0.930 ≤ SHR < 1.154; T3 group: 1.154 ≤ SHR). Moreover, according to glucose metabolism status, study subjects were divided into normal glucose regulation (NGR), pre-diabetes mellitus (pre-DM) and diabetes mellitus (DM) groups. Finally, the correlation between SHR and CAD severity was analyzed by logistic regression analysis and receiver operating characteristic (ROC) curve. RESULTS: The results showed significantly higher SHR in the multi-vessel CAD group than in the single-vessel group. Logistic regression analysis showed that SHR was an independent risk factor for multi-vessel CAD when used as a continuous variable (OR, 4.047; 95% CI 2.137–7.663; P < 0.001). After adjusting for risk factors, the risk of multi-vessel CAD in the T2 and T3 groups was 1.939-fold (95% CI 1.341–2.804; P < 0.001) and 1.860-fold (95% CI 1.272–2.719; P = 0.001) higher than in the T1 group, respectively. The area under the curve (AUC) of ROC plots was 0.613 for SHR. In addition, SHR was significantly correlated with an increased risk of multi-vessel CAD in the pre-DM and DM groups. CONCLUSIONS: Our study indicated that SHR was significantly correlated with the risk of multi-vessel CAD and predicted CAD severity, especially in pre-DM and DM patients. BioMed Central 2023-02-08 /pmc/articles/PMC9909934/ /pubmed/36755256 http://dx.doi.org/10.1186/s12933-023-01759-x Text en © The Author(s) 2023 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
Zhang, Yu
Song, Haiyan
Bai, Jing
Xiu, Jiahui
Wu, Ganggang
Zhang, Liao
Wu, Yunhe
Qu, Ying
Association between the stress hyperglycemia ratio and severity of coronary artery disease under different glucose metabolic states
title Association between the stress hyperglycemia ratio and severity of coronary artery disease under different glucose metabolic states
title_full Association between the stress hyperglycemia ratio and severity of coronary artery disease under different glucose metabolic states
title_fullStr Association between the stress hyperglycemia ratio and severity of coronary artery disease under different glucose metabolic states
title_full_unstemmed Association between the stress hyperglycemia ratio and severity of coronary artery disease under different glucose metabolic states
title_short Association between the stress hyperglycemia ratio and severity of coronary artery disease under different glucose metabolic states
title_sort association between the stress hyperglycemia ratio and severity of coronary artery disease under different glucose metabolic states
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9909934/
https://www.ncbi.nlm.nih.gov/pubmed/36755256
http://dx.doi.org/10.1186/s12933-023-01759-x
work_keys_str_mv AT zhangyu associationbetweenthestresshyperglycemiaratioandseverityofcoronaryarterydiseaseunderdifferentglucosemetabolicstates
AT songhaiyan associationbetweenthestresshyperglycemiaratioandseverityofcoronaryarterydiseaseunderdifferentglucosemetabolicstates
AT baijing associationbetweenthestresshyperglycemiaratioandseverityofcoronaryarterydiseaseunderdifferentglucosemetabolicstates
AT xiujiahui associationbetweenthestresshyperglycemiaratioandseverityofcoronaryarterydiseaseunderdifferentglucosemetabolicstates
AT wuganggang associationbetweenthestresshyperglycemiaratioandseverityofcoronaryarterydiseaseunderdifferentglucosemetabolicstates
AT zhangliao associationbetweenthestresshyperglycemiaratioandseverityofcoronaryarterydiseaseunderdifferentglucosemetabolicstates
AT wuyunhe associationbetweenthestresshyperglycemiaratioandseverityofcoronaryarterydiseaseunderdifferentglucosemetabolicstates
AT quying associationbetweenthestresshyperglycemiaratioandseverityofcoronaryarterydiseaseunderdifferentglucosemetabolicstates