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Predictive value of the systemic immune inflammatory index in cardiac syndrome x

İNTRODUCTION: Patients with normal coronary arteries in whom increased vasospasm cannot be detected with the stress test should be evaluated in terms of cardiac syndrome x (CSX). İnflammatory systems are effective in endothelial activation and dysfunction in CSX. The systemic immune inflammation ind...

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Autores principales: Akın, Yusuf, Karasu, Mehdi, Deniz, Abdulmelik, Mirzaoğlu, Çetin, Bolayır, Hasan Ata
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10035139/
https://www.ncbi.nlm.nih.gov/pubmed/36959528
http://dx.doi.org/10.1186/s12872-023-03157-3
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author Akın, Yusuf
Karasu, Mehdi
Deniz, Abdulmelik
Mirzaoğlu, Çetin
Bolayır, Hasan Ata
author_facet Akın, Yusuf
Karasu, Mehdi
Deniz, Abdulmelik
Mirzaoğlu, Çetin
Bolayır, Hasan Ata
author_sort Akın, Yusuf
collection PubMed
description İNTRODUCTION: Patients with normal coronary arteries in whom increased vasospasm cannot be detected with the stress test should be evaluated in terms of cardiac syndrome x (CSX). İnflammatory systems are effective in endothelial activation and dysfunction in CSX. The systemic immune inflammation index (SII) is thought to be an important factor in determining the course of diseases, especially in infectious diseases or other diseases, as an indicator of the inflammation process. The aim of this study is to determine the role of SII levels in the diagnosis of CSX disease. METHODS: The study group included 80 patients who applied to the cardiology department of Fırat University with typical anginal complaints between October 2021 and April 2022, and were diagnosed with ischemia after the myocardial perfusion scan, and then coronary angiography was performed and normal coronary arteries were observed. RESULTS: When the study and control groups were examined according to age, gender and body mass index, hypertension, smoking, diabetes mellitus, dyslipidemia and family history, no statistical significant difference was observed between the groups. It was observed that there was a significant difference between the high sensitive C- reactive protin levels of the individuals in the study and control groups (p = 0.028). SII levels measured in samples taken from patients were significantly higher than control subjects (p = 0.003). SII cutoff at admission was 582 with 82% sensitivity and 84% specificity (area under the curve 0.972; 95% CI:0.95–0.98;p < 0.001). CONCLUSION: It has been demonstrated that systemic SII parameters, which can be simply calculated with the data obtained from the complete blood count and do not require additional costs, can contribute to the prediction of CSX disease.
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spelling pubmed-100351392023-03-24 Predictive value of the systemic immune inflammatory index in cardiac syndrome x Akın, Yusuf Karasu, Mehdi Deniz, Abdulmelik Mirzaoğlu, Çetin Bolayır, Hasan Ata BMC Cardiovasc Disord Research İNTRODUCTION: Patients with normal coronary arteries in whom increased vasospasm cannot be detected with the stress test should be evaluated in terms of cardiac syndrome x (CSX). İnflammatory systems are effective in endothelial activation and dysfunction in CSX. The systemic immune inflammation index (SII) is thought to be an important factor in determining the course of diseases, especially in infectious diseases or other diseases, as an indicator of the inflammation process. The aim of this study is to determine the role of SII levels in the diagnosis of CSX disease. METHODS: The study group included 80 patients who applied to the cardiology department of Fırat University with typical anginal complaints between October 2021 and April 2022, and were diagnosed with ischemia after the myocardial perfusion scan, and then coronary angiography was performed and normal coronary arteries were observed. RESULTS: When the study and control groups were examined according to age, gender and body mass index, hypertension, smoking, diabetes mellitus, dyslipidemia and family history, no statistical significant difference was observed between the groups. It was observed that there was a significant difference between the high sensitive C- reactive protin levels of the individuals in the study and control groups (p = 0.028). SII levels measured in samples taken from patients were significantly higher than control subjects (p = 0.003). SII cutoff at admission was 582 with 82% sensitivity and 84% specificity (area under the curve 0.972; 95% CI:0.95–0.98;p < 0.001). CONCLUSION: It has been demonstrated that systemic SII parameters, which can be simply calculated with the data obtained from the complete blood count and do not require additional costs, can contribute to the prediction of CSX disease. BioMed Central 2023-03-23 /pmc/articles/PMC10035139/ /pubmed/36959528 http://dx.doi.org/10.1186/s12872-023-03157-3 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
Akın, Yusuf
Karasu, Mehdi
Deniz, Abdulmelik
Mirzaoğlu, Çetin
Bolayır, Hasan Ata
Predictive value of the systemic immune inflammatory index in cardiac syndrome x
title Predictive value of the systemic immune inflammatory index in cardiac syndrome x
title_full Predictive value of the systemic immune inflammatory index in cardiac syndrome x
title_fullStr Predictive value of the systemic immune inflammatory index in cardiac syndrome x
title_full_unstemmed Predictive value of the systemic immune inflammatory index in cardiac syndrome x
title_short Predictive value of the systemic immune inflammatory index in cardiac syndrome x
title_sort predictive value of the systemic immune inflammatory index in cardiac syndrome x
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10035139/
https://www.ncbi.nlm.nih.gov/pubmed/36959528
http://dx.doi.org/10.1186/s12872-023-03157-3
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