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Dynamic Changes in Red Cell Distribution Width Can Predict Major Adverse Cardiovascular Events after PCI in Patients with Unstable Angina Pectoris: A Retrospective Cohort Study
BACKGROUND: The increased red cell distribution width (RDW) is related to a higher risk for cardiovascular disease (CVD). However, it is yet unclear whether the dynamic change of RDW is associated with the major adverse cardiovascular events (MACEs) for individual with CVD. METHODS AND RESULTS: A co...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Hindawi
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9200587/ https://www.ncbi.nlm.nih.gov/pubmed/35722627 http://dx.doi.org/10.1155/2022/2735717 |
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author | Xiao, Qiang Yan, Dekai Qin, Jian Chen, Wenwen Jiang, Ke Zhao, Jian Zhang, Chen Li, Yuanmin |
author_facet | Xiao, Qiang Yan, Dekai Qin, Jian Chen, Wenwen Jiang, Ke Zhao, Jian Zhang, Chen Li, Yuanmin |
author_sort | Xiao, Qiang |
collection | PubMed |
description | BACKGROUND: The increased red cell distribution width (RDW) is related to a higher risk for cardiovascular disease (CVD). However, it is yet unclear whether the dynamic change of RDW is associated with the major adverse cardiovascular events (MACEs) for individual with CVD. METHODS AND RESULTS: A cohort study was conducted among 228 patients who had unstable angina (UA) and underwent PCI. RDW was measured preceding PCI and re-measured on the 16th week after PCI. The change of RDW values was defined as ΔRDW. The patients were divided into 3 groups in accordance with ΔRDW: improved, stable, and worsened RDW groups. The patients were followed up for 6 years, and MACE episodes were recorded. The survival analysis showed that the incidence of MACEs in stable RDW group was significantly lower than that in improved and worsened RDW groups. By the COX model, the risk of the occurrence of cardiovascular events in improved RDW group was 1.661 times higher than the risk in stable RDW group (HR =1.661, 95% CI: 1.583-2.880, p < 0.05) and the same situation was 3.307 times higher in worsened RDW group (HR =3.307, 95% CI: 1.830-5.041, p < 0.05). CONCLUSION: The measurement of ΔRDW has potential to predict the MACEs in UA patients underwent PCI. The dynamic changes in RDW are associated with the outcome of CVD. |
format | Online Article Text |
id | pubmed-9200587 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Hindawi |
record_format | MEDLINE/PubMed |
spelling | pubmed-92005872022-06-16 Dynamic Changes in Red Cell Distribution Width Can Predict Major Adverse Cardiovascular Events after PCI in Patients with Unstable Angina Pectoris: A Retrospective Cohort Study Xiao, Qiang Yan, Dekai Qin, Jian Chen, Wenwen Jiang, Ke Zhao, Jian Zhang, Chen Li, Yuanmin Dis Markers Research Article BACKGROUND: The increased red cell distribution width (RDW) is related to a higher risk for cardiovascular disease (CVD). However, it is yet unclear whether the dynamic change of RDW is associated with the major adverse cardiovascular events (MACEs) for individual with CVD. METHODS AND RESULTS: A cohort study was conducted among 228 patients who had unstable angina (UA) and underwent PCI. RDW was measured preceding PCI and re-measured on the 16th week after PCI. The change of RDW values was defined as ΔRDW. The patients were divided into 3 groups in accordance with ΔRDW: improved, stable, and worsened RDW groups. The patients were followed up for 6 years, and MACE episodes were recorded. The survival analysis showed that the incidence of MACEs in stable RDW group was significantly lower than that in improved and worsened RDW groups. By the COX model, the risk of the occurrence of cardiovascular events in improved RDW group was 1.661 times higher than the risk in stable RDW group (HR =1.661, 95% CI: 1.583-2.880, p < 0.05) and the same situation was 3.307 times higher in worsened RDW group (HR =3.307, 95% CI: 1.830-5.041, p < 0.05). CONCLUSION: The measurement of ΔRDW has potential to predict the MACEs in UA patients underwent PCI. The dynamic changes in RDW are associated with the outcome of CVD. Hindawi 2022-06-08 /pmc/articles/PMC9200587/ /pubmed/35722627 http://dx.doi.org/10.1155/2022/2735717 Text en Copyright © 2022 Qiang Xiao et al. https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Research Article Xiao, Qiang Yan, Dekai Qin, Jian Chen, Wenwen Jiang, Ke Zhao, Jian Zhang, Chen Li, Yuanmin Dynamic Changes in Red Cell Distribution Width Can Predict Major Adverse Cardiovascular Events after PCI in Patients with Unstable Angina Pectoris: A Retrospective Cohort Study |
title | Dynamic Changes in Red Cell Distribution Width Can Predict Major Adverse Cardiovascular Events after PCI in Patients with Unstable Angina Pectoris: A Retrospective Cohort Study |
title_full | Dynamic Changes in Red Cell Distribution Width Can Predict Major Adverse Cardiovascular Events after PCI in Patients with Unstable Angina Pectoris: A Retrospective Cohort Study |
title_fullStr | Dynamic Changes in Red Cell Distribution Width Can Predict Major Adverse Cardiovascular Events after PCI in Patients with Unstable Angina Pectoris: A Retrospective Cohort Study |
title_full_unstemmed | Dynamic Changes in Red Cell Distribution Width Can Predict Major Adverse Cardiovascular Events after PCI in Patients with Unstable Angina Pectoris: A Retrospective Cohort Study |
title_short | Dynamic Changes in Red Cell Distribution Width Can Predict Major Adverse Cardiovascular Events after PCI in Patients with Unstable Angina Pectoris: A Retrospective Cohort Study |
title_sort | dynamic changes in red cell distribution width can predict major adverse cardiovascular events after pci in patients with unstable angina pectoris: a retrospective cohort study |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9200587/ https://www.ncbi.nlm.nih.gov/pubmed/35722627 http://dx.doi.org/10.1155/2022/2735717 |
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