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The Impact of Patient Characteristics and Antiplatelet Regimes on Clot Microstructure in Patients Treated for ST Elevation Myocardial Infarction: Clot Microstructure can Evaluate Therapeutic Efficacy

BACKGROUND: Unfavourable clot microstructure is associated with adverse outcomes in ST elevation myocardial infarction (STEMI). We investigated the effect of comorbidities and anti-platelet treatment on clot microstructure in STEMI patients using fractal dimension (d(f)), a novel biomarker of clot m...

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Autores principales: Lawrence, Matthew J., Obaid, Daniel R., Sabra, Ahmed, Whitley, Janet, Quarry, Rhianwen, Pillai, Suresh, Chase, Alexander J., Smith, David, Williams, Phylip R., Hawkins, Karl, Morris, Roger H.K., Evans, Phillip A.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: SAGE Publications 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10064466/
https://www.ncbi.nlm.nih.gov/pubmed/36994631
http://dx.doi.org/10.1177/10760296221131563
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author Lawrence, Matthew J.
Obaid, Daniel R.
Sabra, Ahmed
Whitley, Janet
Quarry, Rhianwen
Pillai, Suresh
Chase, Alexander J.
Smith, David
Williams, Phylip R.
Hawkins, Karl
Morris, Roger H.K.
Evans, Phillip A.
author_facet Lawrence, Matthew J.
Obaid, Daniel R.
Sabra, Ahmed
Whitley, Janet
Quarry, Rhianwen
Pillai, Suresh
Chase, Alexander J.
Smith, David
Williams, Phylip R.
Hawkins, Karl
Morris, Roger H.K.
Evans, Phillip A.
author_sort Lawrence, Matthew J.
collection PubMed
description BACKGROUND: Unfavourable clot microstructure is associated with adverse outcomes in ST elevation myocardial infarction (STEMI). We investigated the effect of comorbidities and anti-platelet treatment on clot microstructure in STEMI patients using fractal dimension (d(f)), a novel biomarker of clot microstructure derived from the visco-elastic properties of whole blood. METHODS: Patients with STEMI (n = 187) were recruited sequentially receiving aspirin with Clopidogrel (n = 157) then Ticagrelor (n = 30). Patient characteristics and blood for rheological analysis obtained. We quantified d(f) using sequential frequency sweep tests to obtain the phase angle of the Gel Point which is synonymous with the clot microstructure. RESULTS: Higher d(f) was observed in males (1.755 ± 0.068) versus females (1.719 ± 0.061, p = .001), in patients with diabetes (1.786 ± 0.067 vs 1.743 ± 0.046, p < .001), hypertension (1.760 ± 0.065 vs 1.738 ± 0.069, p = .03) and previous MI (1.787 ± 0.073 vs 1.744 ± 0.066, p = .011) compared to without. Patients receiving Ticagrelor had lower d(f) than those receiving Clopidogrel (1.708 ± 0.060 vs 1.755 ± 0.067, p < .001). Significant correlation with d(f) was found with haematocrit (r = 0.331, p < .0001), low-density lipoprotein (LDL) (r = 0.155, p = .046) and fibrinogen (r = 0.182, p = .014). Following multiple regression analysis, diabetes, LDL, fibrinogen and haematocrit remained associated with higher d(f) while treatment with Ticagrelor remained associated with lower d(f). CONCLUSIONS: The biomarker d(f) uniquely evaluates the effect of interactions between treatment and underlying disease on clot microstructure. STEMI patients with diabetes and elevated LDL had higher d(f,) indicating denser clot. Ticagrelor resulted in a lower d(f) than Clopidogrel signifying a less compact clot.
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spelling pubmed-100644662023-04-01 The Impact of Patient Characteristics and Antiplatelet Regimes on Clot Microstructure in Patients Treated for ST Elevation Myocardial Infarction: Clot Microstructure can Evaluate Therapeutic Efficacy Lawrence, Matthew J. Obaid, Daniel R. Sabra, Ahmed Whitley, Janet Quarry, Rhianwen Pillai, Suresh Chase, Alexander J. Smith, David Williams, Phylip R. Hawkins, Karl Morris, Roger H.K. Evans, Phillip A. Clin Appl Thromb Hemost Biomarkers for Evaluating the Risk and Prognosis of Vascular Diseases BACKGROUND: Unfavourable clot microstructure is associated with adverse outcomes in ST elevation myocardial infarction (STEMI). We investigated the effect of comorbidities and anti-platelet treatment on clot microstructure in STEMI patients using fractal dimension (d(f)), a novel biomarker of clot microstructure derived from the visco-elastic properties of whole blood. METHODS: Patients with STEMI (n = 187) were recruited sequentially receiving aspirin with Clopidogrel (n = 157) then Ticagrelor (n = 30). Patient characteristics and blood for rheological analysis obtained. We quantified d(f) using sequential frequency sweep tests to obtain the phase angle of the Gel Point which is synonymous with the clot microstructure. RESULTS: Higher d(f) was observed in males (1.755 ± 0.068) versus females (1.719 ± 0.061, p = .001), in patients with diabetes (1.786 ± 0.067 vs 1.743 ± 0.046, p < .001), hypertension (1.760 ± 0.065 vs 1.738 ± 0.069, p = .03) and previous MI (1.787 ± 0.073 vs 1.744 ± 0.066, p = .011) compared to without. Patients receiving Ticagrelor had lower d(f) than those receiving Clopidogrel (1.708 ± 0.060 vs 1.755 ± 0.067, p < .001). Significant correlation with d(f) was found with haematocrit (r = 0.331, p < .0001), low-density lipoprotein (LDL) (r = 0.155, p = .046) and fibrinogen (r = 0.182, p = .014). Following multiple regression analysis, diabetes, LDL, fibrinogen and haematocrit remained associated with higher d(f) while treatment with Ticagrelor remained associated with lower d(f). CONCLUSIONS: The biomarker d(f) uniquely evaluates the effect of interactions between treatment and underlying disease on clot microstructure. STEMI patients with diabetes and elevated LDL had higher d(f,) indicating denser clot. Ticagrelor resulted in a lower d(f) than Clopidogrel signifying a less compact clot. SAGE Publications 2023-03-30 /pmc/articles/PMC10064466/ /pubmed/36994631 http://dx.doi.org/10.1177/10760296221131563 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by-nc/4.0/This article is distributed under the terms of the Creative Commons Attribution-NonCommercial 4.0 License (https://creativecommons.org/licenses/by-nc/4.0/) which permits non-commercial use, reproduction and distribution of the work without further permission provided the original work is attributed as specified on the SAGE and Open Access page (https://us.sagepub.com/en-us/nam/open-access-at-sage).
spellingShingle Biomarkers for Evaluating the Risk and Prognosis of Vascular Diseases
Lawrence, Matthew J.
Obaid, Daniel R.
Sabra, Ahmed
Whitley, Janet
Quarry, Rhianwen
Pillai, Suresh
Chase, Alexander J.
Smith, David
Williams, Phylip R.
Hawkins, Karl
Morris, Roger H.K.
Evans, Phillip A.
The Impact of Patient Characteristics and Antiplatelet Regimes on Clot Microstructure in Patients Treated for ST Elevation Myocardial Infarction: Clot Microstructure can Evaluate Therapeutic Efficacy
title The Impact of Patient Characteristics and Antiplatelet Regimes on Clot Microstructure in Patients Treated for ST Elevation Myocardial Infarction: Clot Microstructure can Evaluate Therapeutic Efficacy
title_full The Impact of Patient Characteristics and Antiplatelet Regimes on Clot Microstructure in Patients Treated for ST Elevation Myocardial Infarction: Clot Microstructure can Evaluate Therapeutic Efficacy
title_fullStr The Impact of Patient Characteristics and Antiplatelet Regimes on Clot Microstructure in Patients Treated for ST Elevation Myocardial Infarction: Clot Microstructure can Evaluate Therapeutic Efficacy
title_full_unstemmed The Impact of Patient Characteristics and Antiplatelet Regimes on Clot Microstructure in Patients Treated for ST Elevation Myocardial Infarction: Clot Microstructure can Evaluate Therapeutic Efficacy
title_short The Impact of Patient Characteristics and Antiplatelet Regimes on Clot Microstructure in Patients Treated for ST Elevation Myocardial Infarction: Clot Microstructure can Evaluate Therapeutic Efficacy
title_sort impact of patient characteristics and antiplatelet regimes on clot microstructure in patients treated for st elevation myocardial infarction: clot microstructure can evaluate therapeutic efficacy
topic Biomarkers for Evaluating the Risk and Prognosis of Vascular Diseases
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10064466/
https://www.ncbi.nlm.nih.gov/pubmed/36994631
http://dx.doi.org/10.1177/10760296221131563
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