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Cell-free DNA as a potential biomarker for acute myocardial infarction: A systematic review and meta-analysis

BACKGROUND: Tissue necrosis releases cell-free deoxyribonucleic acid (cfDNA), leading to rapid increases in plasma concentration with clearance independent of kidney function. AIM: To explore the diagnostic role of cfDNA in acute myocardial infarction (AMI). METHODS: This systematic review and meta-...

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Autores principales: Tan, Elinor, Liu, Daniel, Perry, Luke, Zhu, John, Cid-Serra, Ximena, Deane, Adam, Yeo, Colin, Ajani, Andrew
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10407200/
https://www.ncbi.nlm.nih.gov/pubmed/37560328
http://dx.doi.org/10.1016/j.ijcha.2023.101246
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author Tan, Elinor
Liu, Daniel
Perry, Luke
Zhu, John
Cid-Serra, Ximena
Deane, Adam
Yeo, Colin
Ajani, Andrew
author_facet Tan, Elinor
Liu, Daniel
Perry, Luke
Zhu, John
Cid-Serra, Ximena
Deane, Adam
Yeo, Colin
Ajani, Andrew
author_sort Tan, Elinor
collection PubMed
description BACKGROUND: Tissue necrosis releases cell-free deoxyribonucleic acid (cfDNA), leading to rapid increases in plasma concentration with clearance independent of kidney function. AIM: To explore the diagnostic role of cfDNA in acute myocardial infarction (AMI). METHODS: This systematic review and meta-analysis included studies of cfDNA in patients with AMI and a comparator group without AMI. The quality assessment of diagnostic accuracy studies-2 (QUADAS-2) tool was used, with AMI determined from the criteria of the original study. Standardised mean differences (SMD) were obtained using a random-effects inverse variance model. Heterogeneity was reported as I(2). Pooled sensitivity and specificity were computed using a bivariate model. The area under the curve (AUC) was estimated from a hierarchical summary receiver operating characteristics curve. RESULTS: Seventeen studies were identified involving 1804 patients (n = 819 in the AMI group, n = 985 in the comparator group). Circulating cfDNA concentrations were greater in the AMI group (SMD 3.47 (95%CI: 2.54–4.41, p < 0.001)). The studies were of variable methodological quality with substantial heterogeneity (I(2) = 98%, p < 0.001), possibly due to the differences in cfDNA quantification methodologies (Chi(2) 25.16, p < 0.001, I(2) = 92%). Diagnostic accuracy was determined using six studies (n = 804), which yielded a sensitivity of 87% (95%CI: 72%-95%) and specificity of 96% (95%CI: 92%-98%). The AUC was 0.96 (95%CI: 0.93–0.98). Two studies reported a relationship between peak cfDNA and peak troponin. No studies reported data for patients with pre-existing kidney impairment. CONCLUSION: Plasma cfDNA appears to be a reliable biomarker of myocardial injury. Inferences from existing results are limited owing to methodology heterogeneity.
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spelling pubmed-104072002023-08-09 Cell-free DNA as a potential biomarker for acute myocardial infarction: A systematic review and meta-analysis Tan, Elinor Liu, Daniel Perry, Luke Zhu, John Cid-Serra, Ximena Deane, Adam Yeo, Colin Ajani, Andrew Int J Cardiol Heart Vasc Review BACKGROUND: Tissue necrosis releases cell-free deoxyribonucleic acid (cfDNA), leading to rapid increases in plasma concentration with clearance independent of kidney function. AIM: To explore the diagnostic role of cfDNA in acute myocardial infarction (AMI). METHODS: This systematic review and meta-analysis included studies of cfDNA in patients with AMI and a comparator group without AMI. The quality assessment of diagnostic accuracy studies-2 (QUADAS-2) tool was used, with AMI determined from the criteria of the original study. Standardised mean differences (SMD) were obtained using a random-effects inverse variance model. Heterogeneity was reported as I(2). Pooled sensitivity and specificity were computed using a bivariate model. The area under the curve (AUC) was estimated from a hierarchical summary receiver operating characteristics curve. RESULTS: Seventeen studies were identified involving 1804 patients (n = 819 in the AMI group, n = 985 in the comparator group). Circulating cfDNA concentrations were greater in the AMI group (SMD 3.47 (95%CI: 2.54–4.41, p < 0.001)). The studies were of variable methodological quality with substantial heterogeneity (I(2) = 98%, p < 0.001), possibly due to the differences in cfDNA quantification methodologies (Chi(2) 25.16, p < 0.001, I(2) = 92%). Diagnostic accuracy was determined using six studies (n = 804), which yielded a sensitivity of 87% (95%CI: 72%-95%) and specificity of 96% (95%CI: 92%-98%). The AUC was 0.96 (95%CI: 0.93–0.98). Two studies reported a relationship between peak cfDNA and peak troponin. No studies reported data for patients with pre-existing kidney impairment. CONCLUSION: Plasma cfDNA appears to be a reliable biomarker of myocardial injury. Inferences from existing results are limited owing to methodology heterogeneity. Elsevier 2023-07-29 /pmc/articles/PMC10407200/ /pubmed/37560328 http://dx.doi.org/10.1016/j.ijcha.2023.101246 Text en © 2023 The Author(s) https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
spellingShingle Review
Tan, Elinor
Liu, Daniel
Perry, Luke
Zhu, John
Cid-Serra, Ximena
Deane, Adam
Yeo, Colin
Ajani, Andrew
Cell-free DNA as a potential biomarker for acute myocardial infarction: A systematic review and meta-analysis
title Cell-free DNA as a potential biomarker for acute myocardial infarction: A systematic review and meta-analysis
title_full Cell-free DNA as a potential biomarker for acute myocardial infarction: A systematic review and meta-analysis
title_fullStr Cell-free DNA as a potential biomarker for acute myocardial infarction: A systematic review and meta-analysis
title_full_unstemmed Cell-free DNA as a potential biomarker for acute myocardial infarction: A systematic review and meta-analysis
title_short Cell-free DNA as a potential biomarker for acute myocardial infarction: A systematic review and meta-analysis
title_sort cell-free dna as a potential biomarker for acute myocardial infarction: a systematic review and meta-analysis
topic Review
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10407200/
https://www.ncbi.nlm.nih.gov/pubmed/37560328
http://dx.doi.org/10.1016/j.ijcha.2023.101246
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