Cargando…

Uric acid and evaluate the coronary vascular stenosis gensini score correlation research and in gender differences

BACKGROUND AND AIMS: Recent studies have shown that the negative effect of uric acid (UA) on coronary arteries determines the severity of atherosclerotic disease. This study aims to explore the relationship between serum UA level and Gensini score, which reflects the severity of coronary artery dise...

Descripción completa

Detalles Bibliográficos
Autores principales: Yang, Bao, Ma, Kanghua, Xiang, Rui, Yang, Guoli, Luo, Yue, Wu, Fan, Mao, Min
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10634079/
https://www.ncbi.nlm.nih.gov/pubmed/37940848
http://dx.doi.org/10.1186/s12872-023-03581-5
_version_ 1785132754065686528
author Yang, Bao
Ma, Kanghua
Xiang, Rui
Yang, Guoli
Luo, Yue
Wu, Fan
Mao, Min
author_facet Yang, Bao
Ma, Kanghua
Xiang, Rui
Yang, Guoli
Luo, Yue
Wu, Fan
Mao, Min
author_sort Yang, Bao
collection PubMed
description BACKGROUND AND AIMS: Recent studies have shown that the negative effect of uric acid (UA) on coronary arteries determines the severity of atherosclerotic disease. This study aims to explore the relationship between serum UA level and Gensini score, which reflects the severity of coronary artery disease. METHODS: A total of 860 patients with suspected coronary heart disease who were admitted to hospital due to angina pectoris or myocardial ischemia related symptoms and received coronary angiography were selected. Based on the findings of the angiography, they were categorized into two groups: the coronary heart disease (CHD) group (n = 625) and the control group (n = 235). The uric acid levels and other clinical data were compared between these groups. Additionally, the prevalence of coronary heart disease and Gensini score were compared between the groups, considering gender-specific quartiles of uric acid levels. The clinical baseline data were analyzed using appropriate statistical methods, and multivariate logistic regression analysis was conducted to identify independent risk factors for coronary heart disease. RESULTS: Of 860 patients (mean age, 63.97 ± 11.87 years), 528 were men (mean age, 62.06 ± 11.5 years) and 332 were women (mean age, 66.99 ± 10.11 years). The proportion of smoking, diabetes, hypertension, and hyperlipidemia in the coronary heart disease group was higher than that in the control group (P < 0.05). HbA1C, Gensini score, BMI, TG and hsCRP in the coronary heart disease group were higher than those in the control group (P < 0.05), and HDL-C was lower than that in the control group (P < 0.05). There were no significant differences in age, heart rate, Cr, TC and LDL-C between the two groups (P > 0.05).Multivariate logistic regression analysis showed that age, hypertension, hsCRP and SUA levels increased the risk of coronary heart disease, and the difference was statistically significant(OR = 1.034,95%CI 1.016–1.052, P = 0.001; OR = 1.469,95%CI 1.007–2.142, P = 0.046;OR = 1.064,95%CI 1.026–1.105, P = 0.001; OR = 1.011,95%CI 1.008–1.014, P < 0.001). CONCLUSION: Serum uric acid is positively correlated with Gensini score in patients with coronary heart disease, which is an independent factor for evaluating the degree of coronary artery stenosis and has a predictive effect.
format Online
Article
Text
id pubmed-10634079
institution National Center for Biotechnology Information
language English
publishDate 2023
publisher BioMed Central
record_format MEDLINE/PubMed
spelling pubmed-106340792023-11-10 Uric acid and evaluate the coronary vascular stenosis gensini score correlation research and in gender differences Yang, Bao Ma, Kanghua Xiang, Rui Yang, Guoli Luo, Yue Wu, Fan Mao, Min BMC Cardiovasc Disord Research BACKGROUND AND AIMS: Recent studies have shown that the negative effect of uric acid (UA) on coronary arteries determines the severity of atherosclerotic disease. This study aims to explore the relationship between serum UA level and Gensini score, which reflects the severity of coronary artery disease. METHODS: A total of 860 patients with suspected coronary heart disease who were admitted to hospital due to angina pectoris or myocardial ischemia related symptoms and received coronary angiography were selected. Based on the findings of the angiography, they were categorized into two groups: the coronary heart disease (CHD) group (n = 625) and the control group (n = 235). The uric acid levels and other clinical data were compared between these groups. Additionally, the prevalence of coronary heart disease and Gensini score were compared between the groups, considering gender-specific quartiles of uric acid levels. The clinical baseline data were analyzed using appropriate statistical methods, and multivariate logistic regression analysis was conducted to identify independent risk factors for coronary heart disease. RESULTS: Of 860 patients (mean age, 63.97 ± 11.87 years), 528 were men (mean age, 62.06 ± 11.5 years) and 332 were women (mean age, 66.99 ± 10.11 years). The proportion of smoking, diabetes, hypertension, and hyperlipidemia in the coronary heart disease group was higher than that in the control group (P < 0.05). HbA1C, Gensini score, BMI, TG and hsCRP in the coronary heart disease group were higher than those in the control group (P < 0.05), and HDL-C was lower than that in the control group (P < 0.05). There were no significant differences in age, heart rate, Cr, TC and LDL-C between the two groups (P > 0.05).Multivariate logistic regression analysis showed that age, hypertension, hsCRP and SUA levels increased the risk of coronary heart disease, and the difference was statistically significant(OR = 1.034,95%CI 1.016–1.052, P = 0.001; OR = 1.469,95%CI 1.007–2.142, P = 0.046;OR = 1.064,95%CI 1.026–1.105, P = 0.001; OR = 1.011,95%CI 1.008–1.014, P < 0.001). CONCLUSION: Serum uric acid is positively correlated with Gensini score in patients with coronary heart disease, which is an independent factor for evaluating the degree of coronary artery stenosis and has a predictive effect. BioMed Central 2023-11-08 /pmc/articles/PMC10634079/ /pubmed/37940848 http://dx.doi.org/10.1186/s12872-023-03581-5 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open Access This 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
Yang, Bao
Ma, Kanghua
Xiang, Rui
Yang, Guoli
Luo, Yue
Wu, Fan
Mao, Min
Uric acid and evaluate the coronary vascular stenosis gensini score correlation research and in gender differences
title Uric acid and evaluate the coronary vascular stenosis gensini score correlation research and in gender differences
title_full Uric acid and evaluate the coronary vascular stenosis gensini score correlation research and in gender differences
title_fullStr Uric acid and evaluate the coronary vascular stenosis gensini score correlation research and in gender differences
title_full_unstemmed Uric acid and evaluate the coronary vascular stenosis gensini score correlation research and in gender differences
title_short Uric acid and evaluate the coronary vascular stenosis gensini score correlation research and in gender differences
title_sort uric acid and evaluate the coronary vascular stenosis gensini score correlation research and in gender differences
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10634079/
https://www.ncbi.nlm.nih.gov/pubmed/37940848
http://dx.doi.org/10.1186/s12872-023-03581-5
work_keys_str_mv AT yangbao uricacidandevaluatethecoronaryvascularstenosisgensiniscorecorrelationresearchandingenderdifferences
AT makanghua uricacidandevaluatethecoronaryvascularstenosisgensiniscorecorrelationresearchandingenderdifferences
AT xiangrui uricacidandevaluatethecoronaryvascularstenosisgensiniscorecorrelationresearchandingenderdifferences
AT yangguoli uricacidandevaluatethecoronaryvascularstenosisgensiniscorecorrelationresearchandingenderdifferences
AT luoyue uricacidandevaluatethecoronaryvascularstenosisgensiniscorecorrelationresearchandingenderdifferences
AT wufan uricacidandevaluatethecoronaryvascularstenosisgensiniscorecorrelationresearchandingenderdifferences
AT maomin uricacidandevaluatethecoronaryvascularstenosisgensiniscorecorrelationresearchandingenderdifferences