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Current trends in optimal medical therapy after PCI and its influence on clinical outcomes in China

BACKGROUND: Limited data were available on the current trends in optimal medical therapy (OMT) after PCI and its influence on clinical outcomes in China. We aimed to evaluate the utilization and impact of OMT on the main adverse cardiovascular and cerebrovascular events (MACCEs) in post-PCI patients...

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Autores principales: Zhang, Jian, Hao, Jing-Yan, Jing, Rui, Liu, Jing-Jing, Di, Cheng-Ye, Lu, Yu-Jie, Gao, Peng, Wang, Ya-Jie, Yang, Rui-Fei, Lin, Wen-Hua
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8157424/
https://www.ncbi.nlm.nih.gov/pubmed/34039268
http://dx.doi.org/10.1186/s12872-021-02052-z
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author Zhang, Jian
Hao, Jing-Yan
Jing, Rui
Liu, Jing-Jing
Di, Cheng-Ye
Lu, Yu-Jie
Gao, Peng
Wang, Ya-Jie
Yang, Rui-Fei
Lin, Wen-Hua
author_facet Zhang, Jian
Hao, Jing-Yan
Jing, Rui
Liu, Jing-Jing
Di, Cheng-Ye
Lu, Yu-Jie
Gao, Peng
Wang, Ya-Jie
Yang, Rui-Fei
Lin, Wen-Hua
author_sort Zhang, Jian
collection PubMed
description BACKGROUND: Limited data were available on the current trends in optimal medical therapy (OMT) after PCI and its influence on clinical outcomes in China. We aimed to evaluate the utilization and impact of OMT on the main adverse cardiovascular and cerebrovascular events (MACCEs) in post-PCI patients and analyzed the factors predictive of OMT after discharge. METHODS: We collected data from 3812 individuals from 2016.10 to 2017.09 at TEDA International Cardiovascular Hospital. They were classified into an OMT group and a non-OMT group according to their OMT status, which was defined as the combination of dual antiplatelet therapy, statins, β-blockers, angiotensin-converting enzyme inhibitors or angiotensin receptor blockers after PCI. Multivariable Cox regression models were developed to assess the association between OMT and MACCEs, defined as all-cause mortality, nonfatal myocardial infarction, stroke, and target vessel revascularization. A logistic regression model was established to analyze the factors predictive of OMT. RESULTS: Our results revealed that the proportion of patients receiving OMT and its component drugs decreased over time. A total of 36.0% of patients were still adherent to OMT at the end of follow-up. Binary logistic regression analysis revealed that baseline OMT (P < 0.001, OR = 52.868) was the strongest predictor of OMT after PCI. The Cox hazard model suggested that smoking after PCI was associated with the 1-year risk of MACCE (P = 0.001, HR = 2.060, 95% CI 1.346–3.151), while OMT (P = 0.001, HR = 0.486, 95% CI 0.312–0.756) was an independent protective factor against postoperative MACCEs. CONCLUSIONS: There was still a gap between OMT utilization after PCI and the recommendations in the evidence-based guidelines. Sociodemographic and clinical factors influence the application of OMT. The management of OMT and smoking cessation after PCI should be emphasized.
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spelling pubmed-81574242021-05-28 Current trends in optimal medical therapy after PCI and its influence on clinical outcomes in China Zhang, Jian Hao, Jing-Yan Jing, Rui Liu, Jing-Jing Di, Cheng-Ye Lu, Yu-Jie Gao, Peng Wang, Ya-Jie Yang, Rui-Fei Lin, Wen-Hua BMC Cardiovasc Disord Research BACKGROUND: Limited data were available on the current trends in optimal medical therapy (OMT) after PCI and its influence on clinical outcomes in China. We aimed to evaluate the utilization and impact of OMT on the main adverse cardiovascular and cerebrovascular events (MACCEs) in post-PCI patients and analyzed the factors predictive of OMT after discharge. METHODS: We collected data from 3812 individuals from 2016.10 to 2017.09 at TEDA International Cardiovascular Hospital. They were classified into an OMT group and a non-OMT group according to their OMT status, which was defined as the combination of dual antiplatelet therapy, statins, β-blockers, angiotensin-converting enzyme inhibitors or angiotensin receptor blockers after PCI. Multivariable Cox regression models were developed to assess the association between OMT and MACCEs, defined as all-cause mortality, nonfatal myocardial infarction, stroke, and target vessel revascularization. A logistic regression model was established to analyze the factors predictive of OMT. RESULTS: Our results revealed that the proportion of patients receiving OMT and its component drugs decreased over time. A total of 36.0% of patients were still adherent to OMT at the end of follow-up. Binary logistic regression analysis revealed that baseline OMT (P < 0.001, OR = 52.868) was the strongest predictor of OMT after PCI. The Cox hazard model suggested that smoking after PCI was associated with the 1-year risk of MACCE (P = 0.001, HR = 2.060, 95% CI 1.346–3.151), while OMT (P = 0.001, HR = 0.486, 95% CI 0.312–0.756) was an independent protective factor against postoperative MACCEs. CONCLUSIONS: There was still a gap between OMT utilization after PCI and the recommendations in the evidence-based guidelines. Sociodemographic and clinical factors influence the application of OMT. The management of OMT and smoking cessation after PCI should be emphasized. BioMed Central 2021-05-26 /pmc/articles/PMC8157424/ /pubmed/34039268 http://dx.doi.org/10.1186/s12872-021-02052-z Text en © The Author(s) 2021 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
Zhang, Jian
Hao, Jing-Yan
Jing, Rui
Liu, Jing-Jing
Di, Cheng-Ye
Lu, Yu-Jie
Gao, Peng
Wang, Ya-Jie
Yang, Rui-Fei
Lin, Wen-Hua
Current trends in optimal medical therapy after PCI and its influence on clinical outcomes in China
title Current trends in optimal medical therapy after PCI and its influence on clinical outcomes in China
title_full Current trends in optimal medical therapy after PCI and its influence on clinical outcomes in China
title_fullStr Current trends in optimal medical therapy after PCI and its influence on clinical outcomes in China
title_full_unstemmed Current trends in optimal medical therapy after PCI and its influence on clinical outcomes in China
title_short Current trends in optimal medical therapy after PCI and its influence on clinical outcomes in China
title_sort current trends in optimal medical therapy after pci and its influence on clinical outcomes in china
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8157424/
https://www.ncbi.nlm.nih.gov/pubmed/34039268
http://dx.doi.org/10.1186/s12872-021-02052-z
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