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Plasma atherogenic indices are independent predictors of slow coronary flow

BACKGROUND: Although the pathophysiology of coronary slow flow (CSF) has not been fully elucidated, emerging data increasingly support potential role for subclinical diffuse atherosclerosis in the etiology of CSF. We aimed to investigate relationship between atherogenic indices and CSF. METHODS: 130...

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Autores principales: Afsin, Abdulmecit, Kaya, Hakan, Suner, Arif, Uzel, Kader Eliz, Bursa, Nurbanu, Hosoglu, Yusuf, Yavuz, Fethi, Asoglu, Ramazan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8686646/
https://www.ncbi.nlm.nih.gov/pubmed/34930134
http://dx.doi.org/10.1186/s12872-021-02432-5
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author Afsin, Abdulmecit
Kaya, Hakan
Suner, Arif
Uzel, Kader Eliz
Bursa, Nurbanu
Hosoglu, Yusuf
Yavuz, Fethi
Asoglu, Ramazan
author_facet Afsin, Abdulmecit
Kaya, Hakan
Suner, Arif
Uzel, Kader Eliz
Bursa, Nurbanu
Hosoglu, Yusuf
Yavuz, Fethi
Asoglu, Ramazan
author_sort Afsin, Abdulmecit
collection PubMed
description BACKGROUND: Although the pathophysiology of coronary slow flow (CSF) has not been fully elucidated, emerging data increasingly support potential role for subclinical diffuse atherosclerosis in the etiology of CSF. We aimed to investigate relationship between atherogenic indices and CSF. METHODS: 130 patients with CSF diagnosed according to Thrombolysis in Myocardial Infarction (TIMI)-frame count (TFC) method and 130 controls who had normal coronary flow (NCF) were included in this retrospective study. Atherogenic indices (atherogenic index of plasma [AIP], Castelli risk indices I and II [CRI-I and II]) were calculated using conventional lipid parameters. RESULTS: The logistic regression analyses demonstrated that AIP (OR, 5.463; 95% confidence interval [CI], 1.357–21.991; p = 0.017) and CRI-II (OR, 1.624; 95% CI, 1.138–2.319; p = 0.008) were independent predictors of CSF. Receiver operating characteristic analysis showed that the optimal cutoff value to predict the occurrence of CSF was 0.66 for AIP (sensitivity, 59%; specificity, 73%; area under curve [AUC], 0.695; p < 0.001) and 3.27 for CRI-II (sensitivity, 60%; specificity, 79%; AUC, 0.726; p < 0.001). CONCLUSIONS: AIP and CRI-II levels were independent predictors of CSF. Prospective studies in larger cohorts of patients may elucidate the role of atherogenic dyslipidemia in the pathophysiology of CSF.
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spelling pubmed-86866462021-12-21 Plasma atherogenic indices are independent predictors of slow coronary flow Afsin, Abdulmecit Kaya, Hakan Suner, Arif Uzel, Kader Eliz Bursa, Nurbanu Hosoglu, Yusuf Yavuz, Fethi Asoglu, Ramazan BMC Cardiovasc Disord Research BACKGROUND: Although the pathophysiology of coronary slow flow (CSF) has not been fully elucidated, emerging data increasingly support potential role for subclinical diffuse atherosclerosis in the etiology of CSF. We aimed to investigate relationship between atherogenic indices and CSF. METHODS: 130 patients with CSF diagnosed according to Thrombolysis in Myocardial Infarction (TIMI)-frame count (TFC) method and 130 controls who had normal coronary flow (NCF) were included in this retrospective study. Atherogenic indices (atherogenic index of plasma [AIP], Castelli risk indices I and II [CRI-I and II]) were calculated using conventional lipid parameters. RESULTS: The logistic regression analyses demonstrated that AIP (OR, 5.463; 95% confidence interval [CI], 1.357–21.991; p = 0.017) and CRI-II (OR, 1.624; 95% CI, 1.138–2.319; p = 0.008) were independent predictors of CSF. Receiver operating characteristic analysis showed that the optimal cutoff value to predict the occurrence of CSF was 0.66 for AIP (sensitivity, 59%; specificity, 73%; area under curve [AUC], 0.695; p < 0.001) and 3.27 for CRI-II (sensitivity, 60%; specificity, 79%; AUC, 0.726; p < 0.001). CONCLUSIONS: AIP and CRI-II levels were independent predictors of CSF. Prospective studies in larger cohorts of patients may elucidate the role of atherogenic dyslipidemia in the pathophysiology of CSF. BioMed Central 2021-12-20 /pmc/articles/PMC8686646/ /pubmed/34930134 http://dx.doi.org/10.1186/s12872-021-02432-5 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
Afsin, Abdulmecit
Kaya, Hakan
Suner, Arif
Uzel, Kader Eliz
Bursa, Nurbanu
Hosoglu, Yusuf
Yavuz, Fethi
Asoglu, Ramazan
Plasma atherogenic indices are independent predictors of slow coronary flow
title Plasma atherogenic indices are independent predictors of slow coronary flow
title_full Plasma atherogenic indices are independent predictors of slow coronary flow
title_fullStr Plasma atherogenic indices are independent predictors of slow coronary flow
title_full_unstemmed Plasma atherogenic indices are independent predictors of slow coronary flow
title_short Plasma atherogenic indices are independent predictors of slow coronary flow
title_sort plasma atherogenic indices are independent predictors of slow coronary flow
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8686646/
https://www.ncbi.nlm.nih.gov/pubmed/34930134
http://dx.doi.org/10.1186/s12872-021-02432-5
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