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Relationship between inflammatory markers and coronary slow flow in type 2 diabetic patients

BACKGROUND: Diabetes is a serious and quickly expanding global health problem. Cardiovascular disease is the leading cause of mortality in type 2 diabetes mellitus (T2DM) patients. Coronary slow flow (CSF) is characterised by delayed distal perfusion during coronary angiography with normal coronary...

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Autores principales: Elsanan, Moataz Ali Hasan Ali, Tahoon, Islam Hussein Hassan Hussein, Mohamed, Ghada Ibrahim, ZeinElabdeen, Shimaa Gamal, Shehata, Islam Elsayed
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2023
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Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10169369/
https://www.ncbi.nlm.nih.gov/pubmed/37161453
http://dx.doi.org/10.1186/s12872-023-03275-y
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author Elsanan, Moataz Ali Hasan Ali
Tahoon, Islam Hussein Hassan Hussein
Mohamed, Ghada Ibrahim
ZeinElabdeen, Shimaa Gamal
Shehata, Islam Elsayed
author_facet Elsanan, Moataz Ali Hasan Ali
Tahoon, Islam Hussein Hassan Hussein
Mohamed, Ghada Ibrahim
ZeinElabdeen, Shimaa Gamal
Shehata, Islam Elsayed
author_sort Elsanan, Moataz Ali Hasan Ali
collection PubMed
description BACKGROUND: Diabetes is a serious and quickly expanding global health problem. Cardiovascular disease is the leading cause of mortality in type 2 diabetes mellitus (T2DM) patients. Coronary slow flow (CSF) is characterised by delayed distal perfusion during coronary angiography with normal coronary arteries. This study aimed to investigate the correlation between CSF and inflammatory markers regarding glycemic status in T2DM. METHODS: This cross-sectional study included 120 patients who were divided equally into 4 groups according to their glycemic control and presence or absence of coronary slow flow: Group I included patients with T2DM with good glycemic control without CSF; Group II included patients with T2DM with good glycemic control and CSF; Group III included patients with T2DM with poor glycemic control without CSF; and Group IV included patients with T2DM with poor glycemic control and CSF. The neutrophil-to-lymphocyte ratio (NLR), platelet-to-lymphocyte ratio (PLR), C-reactive protein (CRP), platelets, hematocrit, and haemoglobin were also evaluated as risk factors for coronary slow flow. RESULTS: This study showed that body mass index (BMI), hematocrit level, NLR, and CRP demonstrated a moderate but significant correlation (r = 0.53) with CSF in poorly controlled T2DM. NLR cutoff > 2.1 could predict CSF in poorly controlled T2DM with a modest sensitivity and specificity. A 1.9 increase in HbA1c increases the likelihood of coronary slow flow. Dylipidemia increases the likelihood of coronary slow flow by 0.18 times. Other predictors for coronary slow flow include NLR, PLR, CRP, platelets, hematocrit, and hemoglobin. The effect of the predictors is still statistically significant after being adjusted for glycemic status, age, and sex (p < 0.001). CONCLUSIONS: Poor glycemic control increases the incidence of CSF. This supports the hypothesis that CSF is related to endothelial dysfunction as poor glycemic control causes endothelial dysfunction due to inflammation. TRIAL REGISTRATION: ZU-IRB#9419–3-4–2022 Registered 3 April 2022, email. IRB_123@medicine.zu.edu.eg.
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spelling pubmed-101693692023-05-11 Relationship between inflammatory markers and coronary slow flow in type 2 diabetic patients Elsanan, Moataz Ali Hasan Ali Tahoon, Islam Hussein Hassan Hussein Mohamed, Ghada Ibrahim ZeinElabdeen, Shimaa Gamal Shehata, Islam Elsayed BMC Cardiovasc Disord Research BACKGROUND: Diabetes is a serious and quickly expanding global health problem. Cardiovascular disease is the leading cause of mortality in type 2 diabetes mellitus (T2DM) patients. Coronary slow flow (CSF) is characterised by delayed distal perfusion during coronary angiography with normal coronary arteries. This study aimed to investigate the correlation between CSF and inflammatory markers regarding glycemic status in T2DM. METHODS: This cross-sectional study included 120 patients who were divided equally into 4 groups according to their glycemic control and presence or absence of coronary slow flow: Group I included patients with T2DM with good glycemic control without CSF; Group II included patients with T2DM with good glycemic control and CSF; Group III included patients with T2DM with poor glycemic control without CSF; and Group IV included patients with T2DM with poor glycemic control and CSF. The neutrophil-to-lymphocyte ratio (NLR), platelet-to-lymphocyte ratio (PLR), C-reactive protein (CRP), platelets, hematocrit, and haemoglobin were also evaluated as risk factors for coronary slow flow. RESULTS: This study showed that body mass index (BMI), hematocrit level, NLR, and CRP demonstrated a moderate but significant correlation (r = 0.53) with CSF in poorly controlled T2DM. NLR cutoff > 2.1 could predict CSF in poorly controlled T2DM with a modest sensitivity and specificity. A 1.9 increase in HbA1c increases the likelihood of coronary slow flow. Dylipidemia increases the likelihood of coronary slow flow by 0.18 times. Other predictors for coronary slow flow include NLR, PLR, CRP, platelets, hematocrit, and hemoglobin. The effect of the predictors is still statistically significant after being adjusted for glycemic status, age, and sex (p < 0.001). CONCLUSIONS: Poor glycemic control increases the incidence of CSF. This supports the hypothesis that CSF is related to endothelial dysfunction as poor glycemic control causes endothelial dysfunction due to inflammation. TRIAL REGISTRATION: ZU-IRB#9419–3-4–2022 Registered 3 April 2022, email. IRB_123@medicine.zu.edu.eg. BioMed Central 2023-05-09 /pmc/articles/PMC10169369/ /pubmed/37161453 http://dx.doi.org/10.1186/s12872-023-03275-y 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
Elsanan, Moataz Ali Hasan Ali
Tahoon, Islam Hussein Hassan Hussein
Mohamed, Ghada Ibrahim
ZeinElabdeen, Shimaa Gamal
Shehata, Islam Elsayed
Relationship between inflammatory markers and coronary slow flow in type 2 diabetic patients
title Relationship between inflammatory markers and coronary slow flow in type 2 diabetic patients
title_full Relationship between inflammatory markers and coronary slow flow in type 2 diabetic patients
title_fullStr Relationship between inflammatory markers and coronary slow flow in type 2 diabetic patients
title_full_unstemmed Relationship between inflammatory markers and coronary slow flow in type 2 diabetic patients
title_short Relationship between inflammatory markers and coronary slow flow in type 2 diabetic patients
title_sort relationship between inflammatory markers and coronary slow flow in type 2 diabetic patients
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10169369/
https://www.ncbi.nlm.nih.gov/pubmed/37161453
http://dx.doi.org/10.1186/s12872-023-03275-y
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