Cargando…
Prediction of gastrointestinal bleeding events in patients with acute coronary syndrome undergoing percutaneous coronary intervention: An observational cohort study (STROBE compliant)
Bleeding complications of acute coronary syndromes (ACS) after percutaneous coronary intervention (PCI) are strongly associated with adverse patient outcomes, and gastrointestinal bleeding (GIB) is the most common major bleeding event, especially in the early post-PCI period. Current guidelines reco...
Autores principales: | , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Wolters Kluwer Health
2020
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7386955/ https://www.ncbi.nlm.nih.gov/pubmed/32791719 http://dx.doi.org/10.1097/MD.0000000000021312 |
_version_ | 1783564042368974848 |
---|---|
author | Zheng, Wen Zhang, Yu-Jiao Liu, Ran Zhao, Xue-Dong Ai, Hui |
author_facet | Zheng, Wen Zhang, Yu-Jiao Liu, Ran Zhao, Xue-Dong Ai, Hui |
author_sort | Zheng, Wen |
collection | PubMed |
description | Bleeding complications of acute coronary syndromes (ACS) after percutaneous coronary intervention (PCI) are strongly associated with adverse patient outcomes, and gastrointestinal bleeding (GIB) is the most common major bleeding event, especially in the early post-PCI period. Current guidelines recommend routinely conducting bleeding risk assessments. The existing tools are mainly used to evaluate the overall bleeding risk and guide the adjustment of antithrombotic strategies after 1 year. However, there are no specific tools for GIB risk assessment. Between January 2015 and June 2015, 4943 ACS patients underwent PCI were consecutively enrolled in the derivation cohort. GIB, cardiovascular, and cerebrovascular events were recorded within 1 year of follow-up. A validation cohort including 1000 patients who met the same inclusion and exclusion criteria was also established by propensity-score matching baseline characteristics. Multivariable cox proportional-hazards regression model was used to derive a risk-scoring system, and predictive variables were selected. A risk score nomogram based on the risk prediction model was created to estimate the 1-year risk of GIB. In this study, we found that the usage of clopidogrel (hazard ratio, HR: 2.52, 95% confidence intervals, CI: 1.573–4.021) and glycoprotein IIb/IIIa receptor inhibitors (HR: 1.863, 95% CI: 1.226–2.829), history of peptic ulcers (HR: 3.601, 95% CI: 1.226–2.829) or tumor (HR: 4.884, 95% CI: 1.226–2.829), and cardiac insufficiency (HR: 11.513, 95% CI: 7.282–18.202), renal insufficiency (HR: 2.010, 95% CI: 1.350–2.993), and prolonged activated partial thromboplastin time (HR: 4.639, 95% CI: 2.146–10.032) were independent risk factors for GIB 1 year after PCI. Based on these 7 factors, a nomogram and scoring system was established. The area under curve of risk score was 0.824 in the deviation cohort and 0.810 in the verification cohort. In both cohorts, the GIB score was significantly better than that of 3 classical bleeding scores (all P < .05). This score could well predict the risk of GIB within 1 year after PCI and could be used to guide antithrombotic strategies. |
format | Online Article Text |
id | pubmed-7386955 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Wolters Kluwer Health |
record_format | MEDLINE/PubMed |
spelling | pubmed-73869552020-08-05 Prediction of gastrointestinal bleeding events in patients with acute coronary syndrome undergoing percutaneous coronary intervention: An observational cohort study (STROBE compliant) Zheng, Wen Zhang, Yu-Jiao Liu, Ran Zhao, Xue-Dong Ai, Hui Medicine (Baltimore) 3400 Bleeding complications of acute coronary syndromes (ACS) after percutaneous coronary intervention (PCI) are strongly associated with adverse patient outcomes, and gastrointestinal bleeding (GIB) is the most common major bleeding event, especially in the early post-PCI period. Current guidelines recommend routinely conducting bleeding risk assessments. The existing tools are mainly used to evaluate the overall bleeding risk and guide the adjustment of antithrombotic strategies after 1 year. However, there are no specific tools for GIB risk assessment. Between January 2015 and June 2015, 4943 ACS patients underwent PCI were consecutively enrolled in the derivation cohort. GIB, cardiovascular, and cerebrovascular events were recorded within 1 year of follow-up. A validation cohort including 1000 patients who met the same inclusion and exclusion criteria was also established by propensity-score matching baseline characteristics. Multivariable cox proportional-hazards regression model was used to derive a risk-scoring system, and predictive variables were selected. A risk score nomogram based on the risk prediction model was created to estimate the 1-year risk of GIB. In this study, we found that the usage of clopidogrel (hazard ratio, HR: 2.52, 95% confidence intervals, CI: 1.573–4.021) and glycoprotein IIb/IIIa receptor inhibitors (HR: 1.863, 95% CI: 1.226–2.829), history of peptic ulcers (HR: 3.601, 95% CI: 1.226–2.829) or tumor (HR: 4.884, 95% CI: 1.226–2.829), and cardiac insufficiency (HR: 11.513, 95% CI: 7.282–18.202), renal insufficiency (HR: 2.010, 95% CI: 1.350–2.993), and prolonged activated partial thromboplastin time (HR: 4.639, 95% CI: 2.146–10.032) were independent risk factors for GIB 1 year after PCI. Based on these 7 factors, a nomogram and scoring system was established. The area under curve of risk score was 0.824 in the deviation cohort and 0.810 in the verification cohort. In both cohorts, the GIB score was significantly better than that of 3 classical bleeding scores (all P < .05). This score could well predict the risk of GIB within 1 year after PCI and could be used to guide antithrombotic strategies. Wolters Kluwer Health 2020-07-24 /pmc/articles/PMC7386955/ /pubmed/32791719 http://dx.doi.org/10.1097/MD.0000000000021312 Text en Copyright © 2020 the Author(s). Published by Wolters Kluwer Health, Inc. http://creativecommons.org/licenses/by-nc/4.0 This is an open access article distributed under the terms of the Creative Commons Attribution-Non Commercial License 4.0 (CCBY-NC), where it is permissible to download, share, remix, transform, and buildup the work provided it is properly cited. The work cannot be used commercially without permission from the journal. http://creativecommons.org/licenses/by-nc/4.0 |
spellingShingle | 3400 Zheng, Wen Zhang, Yu-Jiao Liu, Ran Zhao, Xue-Dong Ai, Hui Prediction of gastrointestinal bleeding events in patients with acute coronary syndrome undergoing percutaneous coronary intervention: An observational cohort study (STROBE compliant) |
title | Prediction of gastrointestinal bleeding events in patients with acute coronary syndrome undergoing percutaneous coronary intervention: An observational cohort study (STROBE compliant) |
title_full | Prediction of gastrointestinal bleeding events in patients with acute coronary syndrome undergoing percutaneous coronary intervention: An observational cohort study (STROBE compliant) |
title_fullStr | Prediction of gastrointestinal bleeding events in patients with acute coronary syndrome undergoing percutaneous coronary intervention: An observational cohort study (STROBE compliant) |
title_full_unstemmed | Prediction of gastrointestinal bleeding events in patients with acute coronary syndrome undergoing percutaneous coronary intervention: An observational cohort study (STROBE compliant) |
title_short | Prediction of gastrointestinal bleeding events in patients with acute coronary syndrome undergoing percutaneous coronary intervention: An observational cohort study (STROBE compliant) |
title_sort | prediction of gastrointestinal bleeding events in patients with acute coronary syndrome undergoing percutaneous coronary intervention: an observational cohort study (strobe compliant) |
topic | 3400 |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7386955/ https://www.ncbi.nlm.nih.gov/pubmed/32791719 http://dx.doi.org/10.1097/MD.0000000000021312 |
work_keys_str_mv | AT zhengwen predictionofgastrointestinalbleedingeventsinpatientswithacutecoronarysyndromeundergoingpercutaneouscoronaryinterventionanobservationalcohortstudystrobecompliant AT zhangyujiao predictionofgastrointestinalbleedingeventsinpatientswithacutecoronarysyndromeundergoingpercutaneouscoronaryinterventionanobservationalcohortstudystrobecompliant AT liuran predictionofgastrointestinalbleedingeventsinpatientswithacutecoronarysyndromeundergoingpercutaneouscoronaryinterventionanobservationalcohortstudystrobecompliant AT zhaoxuedong predictionofgastrointestinalbleedingeventsinpatientswithacutecoronarysyndromeundergoingpercutaneouscoronaryinterventionanobservationalcohortstudystrobecompliant AT aihui predictionofgastrointestinalbleedingeventsinpatientswithacutecoronarysyndromeundergoingpercutaneouscoronaryinterventionanobservationalcohortstudystrobecompliant |