Cargando…

Application of systemic inflammation indices and lipid metabolism-related factors in coronary artery disease

We aimed to investigate the relationship between coronary artery disease (CAD) and systemic inflammation indices and lipid metabolism-related factors and subsequently, discuss the clinical application of these factors in CAD. METHODS: We enrolled 284 consecutive inpatients with suspected CAD and div...

Descripción completa

Detalles Bibliográficos
Autores principales: Zhao, Zhuoyan, Lian, Huan, Liu, Yixiang, Sun, Lixian, Zhang, Ying
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Lippincott Williams & Wilkins 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10309097/
https://www.ncbi.nlm.nih.gov/pubmed/37102240
http://dx.doi.org/10.1097/MCA.0000000000001239
_version_ 1785066379516313600
author Zhao, Zhuoyan
Lian, Huan
Liu, Yixiang
Sun, Lixian
Zhang, Ying
author_facet Zhao, Zhuoyan
Lian, Huan
Liu, Yixiang
Sun, Lixian
Zhang, Ying
author_sort Zhao, Zhuoyan
collection PubMed
description We aimed to investigate the relationship between coronary artery disease (CAD) and systemic inflammation indices and lipid metabolism-related factors and subsequently, discuss the clinical application of these factors in CAD. METHODS: We enrolled 284 consecutive inpatients with suspected CAD and divided them into a CAD group and a non-CAD group according to coronary angiography results. Serum levels of angiopoietin-like protein 3 (ANGPTL3), angiopoietin-like protein 4 (ANGPTL4), fatty acid-binding protein 4 (FABP4), and tumor necrosis factor-α (TNF-α) levels were assessed using the ELISA and the systemic inflammation indices were calculated. Multivariate logistic regression was used to assess the risk factors of CAD. The receiver operating characteristic curve was used to determine the cutoff and diagnostic values. RESULTS: The neutrophil-to-high density lipoprotein cholesterol ratio (5.04 vs. 3.47), neutrophil-to-lymphocyte ratio (3.25 vs. 2.45), monocyte-to-high density lipoprotein cholesterol ratio (MHR) (0.46 vs. 0.36), monocyte-to-lymphocyte ratio (0.31 vs. 0.26), systemic immune-inflammation index (SII) (696.00 vs. 544.82), serum TNF-α (398.15 ng/l vs. 350.65 ng/l), FABP4 (1644.00 ng/l vs. 1553.00 ng/l), ANGPTL3 (57.60 ng/ml vs. 52.85 ng/ml), and ANGPTL4 (37.35 ng/ml vs. 35.20 ng/ml) values showed a significant difference between the CAD and non-CAD groups (P < 0.05). After adjusting for confounding factors, the following values were obtained: ANGPTL3 > 67.53 ng/ml [odds ratio (OR) = 8.108, 95% confidence interval (CI) (1.022–65.620)]; ANGPTL4 > 29.95 ng/ml [OR = 5.599, 95% CI (1.809–17.334)]; MHR > 0.47 [OR = 4.872, 95% CI (1.715–13.835)]; SII > 589.12 [OR = 5.131, 95% CI (1.995–13.200)]. These factors were found to be independently associated with CAD (P < 0.05). Diabetes combined with MHR > 0.47, SII > 589.12, TNF-α >285.60 ng/l, ANGPTL3 > 67.53 ng/ml, and ANGPTL4 > 29.95 ng/l had the highest diagnostic value for CAD [area under the curve: 0.921, 95% CI, (0.881–0.960), Sensitivity: 88.9%, Specificity: 82.2%, P < 0.001]. CONCLUSION: MHR > 0.47, SII > 589.12, TNF-α >285.60 ng/l, ANGPTL3 > 67.53 ng/ml, and ANGPTL4 > 29.95 ng/l were identified as independent CAD risk factors and have valuable clinical implications in the diagnosis and treatment of CAD.
format Online
Article
Text
id pubmed-10309097
institution National Center for Biotechnology Information
language English
publishDate 2023
publisher Lippincott Williams & Wilkins
record_format MEDLINE/PubMed
spelling pubmed-103090972023-06-30 Application of systemic inflammation indices and lipid metabolism-related factors in coronary artery disease Zhao, Zhuoyan Lian, Huan Liu, Yixiang Sun, Lixian Zhang, Ying Coron Artery Dis Original Research We aimed to investigate the relationship between coronary artery disease (CAD) and systemic inflammation indices and lipid metabolism-related factors and subsequently, discuss the clinical application of these factors in CAD. METHODS: We enrolled 284 consecutive inpatients with suspected CAD and divided them into a CAD group and a non-CAD group according to coronary angiography results. Serum levels of angiopoietin-like protein 3 (ANGPTL3), angiopoietin-like protein 4 (ANGPTL4), fatty acid-binding protein 4 (FABP4), and tumor necrosis factor-α (TNF-α) levels were assessed using the ELISA and the systemic inflammation indices were calculated. Multivariate logistic regression was used to assess the risk factors of CAD. The receiver operating characteristic curve was used to determine the cutoff and diagnostic values. RESULTS: The neutrophil-to-high density lipoprotein cholesterol ratio (5.04 vs. 3.47), neutrophil-to-lymphocyte ratio (3.25 vs. 2.45), monocyte-to-high density lipoprotein cholesterol ratio (MHR) (0.46 vs. 0.36), monocyte-to-lymphocyte ratio (0.31 vs. 0.26), systemic immune-inflammation index (SII) (696.00 vs. 544.82), serum TNF-α (398.15 ng/l vs. 350.65 ng/l), FABP4 (1644.00 ng/l vs. 1553.00 ng/l), ANGPTL3 (57.60 ng/ml vs. 52.85 ng/ml), and ANGPTL4 (37.35 ng/ml vs. 35.20 ng/ml) values showed a significant difference between the CAD and non-CAD groups (P < 0.05). After adjusting for confounding factors, the following values were obtained: ANGPTL3 > 67.53 ng/ml [odds ratio (OR) = 8.108, 95% confidence interval (CI) (1.022–65.620)]; ANGPTL4 > 29.95 ng/ml [OR = 5.599, 95% CI (1.809–17.334)]; MHR > 0.47 [OR = 4.872, 95% CI (1.715–13.835)]; SII > 589.12 [OR = 5.131, 95% CI (1.995–13.200)]. These factors were found to be independently associated with CAD (P < 0.05). Diabetes combined with MHR > 0.47, SII > 589.12, TNF-α >285.60 ng/l, ANGPTL3 > 67.53 ng/ml, and ANGPTL4 > 29.95 ng/l had the highest diagnostic value for CAD [area under the curve: 0.921, 95% CI, (0.881–0.960), Sensitivity: 88.9%, Specificity: 82.2%, P < 0.001]. CONCLUSION: MHR > 0.47, SII > 589.12, TNF-α >285.60 ng/l, ANGPTL3 > 67.53 ng/ml, and ANGPTL4 > 29.95 ng/l were identified as independent CAD risk factors and have valuable clinical implications in the diagnosis and treatment of CAD. Lippincott Williams & Wilkins 2023-08 2023-04-21 /pmc/articles/PMC10309097/ /pubmed/37102240 http://dx.doi.org/10.1097/MCA.0000000000001239 Text en Copyright © 2023 The Author(s). Published by Wolters Kluwer Health, Inc. https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution-Non Commercial-No Derivatives License 4.0 (CCBY-NC-ND) (https://creativecommons.org/licenses/by-nc-nd/4.0/) , where it is permissible to download and share the work provided it is properly cited. The work cannot be changed in any way or used commercially without permission from the journal.
spellingShingle Original Research
Zhao, Zhuoyan
Lian, Huan
Liu, Yixiang
Sun, Lixian
Zhang, Ying
Application of systemic inflammation indices and lipid metabolism-related factors in coronary artery disease
title Application of systemic inflammation indices and lipid metabolism-related factors in coronary artery disease
title_full Application of systemic inflammation indices and lipid metabolism-related factors in coronary artery disease
title_fullStr Application of systemic inflammation indices and lipid metabolism-related factors in coronary artery disease
title_full_unstemmed Application of systemic inflammation indices and lipid metabolism-related factors in coronary artery disease
title_short Application of systemic inflammation indices and lipid metabolism-related factors in coronary artery disease
title_sort application of systemic inflammation indices and lipid metabolism-related factors in coronary artery disease
topic Original Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10309097/
https://www.ncbi.nlm.nih.gov/pubmed/37102240
http://dx.doi.org/10.1097/MCA.0000000000001239
work_keys_str_mv AT zhaozhuoyan applicationofsystemicinflammationindicesandlipidmetabolismrelatedfactorsincoronaryarterydisease
AT lianhuan applicationofsystemicinflammationindicesandlipidmetabolismrelatedfactorsincoronaryarterydisease
AT liuyixiang applicationofsystemicinflammationindicesandlipidmetabolismrelatedfactorsincoronaryarterydisease
AT sunlixian applicationofsystemicinflammationindicesandlipidmetabolismrelatedfactorsincoronaryarterydisease
AT zhangying applicationofsystemicinflammationindicesandlipidmetabolismrelatedfactorsincoronaryarterydisease