Cargando…

Risk factors, prediction model, and prognosis analysis of myocardial injury after acute upper gastrointestinal bleeding

BACKGROUND: Cardiovascular complications in patients with acute upper gastrointestinal bleeding (AUGIB) have been associated with a high-risk of subsequent adverse consequences. This study aimed to analyze the risk factors for myocardial injury in AUGIB patients, predict the risk of myocardial injur...

Descripción completa

Detalles Bibliográficos
Autores principales: Hao, Junjun, Dang, Peizhu, Quan, Xingpu, Chen, Zexuan, Zhang, Guiyun, Liu, Hui, Shi, Tao, Yan, Yang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9772534/
https://www.ncbi.nlm.nih.gov/pubmed/36568536
http://dx.doi.org/10.3389/fcvm.2022.1041062
_version_ 1784854999677796352
author Hao, Junjun
Dang, Peizhu
Quan, Xingpu
Chen, Zexuan
Zhang, Guiyun
Liu, Hui
Shi, Tao
Yan, Yang
author_facet Hao, Junjun
Dang, Peizhu
Quan, Xingpu
Chen, Zexuan
Zhang, Guiyun
Liu, Hui
Shi, Tao
Yan, Yang
author_sort Hao, Junjun
collection PubMed
description BACKGROUND: Cardiovascular complications in patients with acute upper gastrointestinal bleeding (AUGIB) have been associated with a high-risk of subsequent adverse consequences. This study aimed to analyze the risk factors for myocardial injury in AUGIB patients, predict the risk of myocardial injury, and explore the clinical prognosis and influencing factors in AUGIB patients with myocardial injury. MATERIALS AND METHODS: A retrospective case-control study based on AUGIB patients in the First Affiliated Hospital of Xi’an Jiaotong University from 2016 to 2020 was performed. We divided the enrolled patients into a myocardial injury group and a control group according to whether they developed myocardial injury. The variables significant in the univariate analysis were subjected to binary logistic regression for risk factor analysis and were used to establish a nomogram for predicting myocardial injury. In addition, logistic regression analysis was performed to better understand the risk factors for in-hospital mortality after myocardial injury. RESULT: Of the 989 AUGIB patients enrolled, 10.2% (101/989) developed myocardial injury. Logistic regression analysis showed that the strong predictors of myocardial injury were a history of hypertension (OR: 4.252, 95% CI: 1.149–15.730, P = 0.030), blood urea nitrogen (BUN) (OR: 1.159, 95% CI: 1.026–1.309, P = 0.018) and left ventricular ejection fraction (LVEF) <68% (OR: 3.667, 95% CI: 1.085–12.398, P = 0.037). The patients with a tumor history (digestive system tumors and non-digestive system tumors) had no significant difference between the myocardial injury group and the control group (P = 0.246). A prognostic nomogram model was established based on these factors with an area under the receiver operator characteristic curve of 0.823 (95% CI: 0.730–0.916). The patients with myocardial injury had a much higher in-hospital mortality rate (10.9% vs. 2.0%, P < 0.001), and an elevated D-dimer level was related to in-hospital mortality among the AUGIB patients with myocardial injury (OR: 1.273, 95% CI: 1.085–1.494, P = 0.003). CONCLUSION: A history of hypertension, renal dysfunction, and cardiac function with LVEF <68% were strong predictors of myocardial injury. Coagulopathy was found to be associated with poor prognosis in AUGIB patients with myocardial injury.
format Online
Article
Text
id pubmed-9772534
institution National Center for Biotechnology Information
language English
publishDate 2022
publisher Frontiers Media S.A.
record_format MEDLINE/PubMed
spelling pubmed-97725342022-12-23 Risk factors, prediction model, and prognosis analysis of myocardial injury after acute upper gastrointestinal bleeding Hao, Junjun Dang, Peizhu Quan, Xingpu Chen, Zexuan Zhang, Guiyun Liu, Hui Shi, Tao Yan, Yang Front Cardiovasc Med Cardiovascular Medicine BACKGROUND: Cardiovascular complications in patients with acute upper gastrointestinal bleeding (AUGIB) have been associated with a high-risk of subsequent adverse consequences. This study aimed to analyze the risk factors for myocardial injury in AUGIB patients, predict the risk of myocardial injury, and explore the clinical prognosis and influencing factors in AUGIB patients with myocardial injury. MATERIALS AND METHODS: A retrospective case-control study based on AUGIB patients in the First Affiliated Hospital of Xi’an Jiaotong University from 2016 to 2020 was performed. We divided the enrolled patients into a myocardial injury group and a control group according to whether they developed myocardial injury. The variables significant in the univariate analysis were subjected to binary logistic regression for risk factor analysis and were used to establish a nomogram for predicting myocardial injury. In addition, logistic regression analysis was performed to better understand the risk factors for in-hospital mortality after myocardial injury. RESULT: Of the 989 AUGIB patients enrolled, 10.2% (101/989) developed myocardial injury. Logistic regression analysis showed that the strong predictors of myocardial injury were a history of hypertension (OR: 4.252, 95% CI: 1.149–15.730, P = 0.030), blood urea nitrogen (BUN) (OR: 1.159, 95% CI: 1.026–1.309, P = 0.018) and left ventricular ejection fraction (LVEF) <68% (OR: 3.667, 95% CI: 1.085–12.398, P = 0.037). The patients with a tumor history (digestive system tumors and non-digestive system tumors) had no significant difference between the myocardial injury group and the control group (P = 0.246). A prognostic nomogram model was established based on these factors with an area under the receiver operator characteristic curve of 0.823 (95% CI: 0.730–0.916). The patients with myocardial injury had a much higher in-hospital mortality rate (10.9% vs. 2.0%, P < 0.001), and an elevated D-dimer level was related to in-hospital mortality among the AUGIB patients with myocardial injury (OR: 1.273, 95% CI: 1.085–1.494, P = 0.003). CONCLUSION: A history of hypertension, renal dysfunction, and cardiac function with LVEF <68% were strong predictors of myocardial injury. Coagulopathy was found to be associated with poor prognosis in AUGIB patients with myocardial injury. Frontiers Media S.A. 2022-12-08 /pmc/articles/PMC9772534/ /pubmed/36568536 http://dx.doi.org/10.3389/fcvm.2022.1041062 Text en Copyright © 2022 Hao, Dang, Quan, Chen, Zhang, Liu, Shi and Yan. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Cardiovascular Medicine
Hao, Junjun
Dang, Peizhu
Quan, Xingpu
Chen, Zexuan
Zhang, Guiyun
Liu, Hui
Shi, Tao
Yan, Yang
Risk factors, prediction model, and prognosis analysis of myocardial injury after acute upper gastrointestinal bleeding
title Risk factors, prediction model, and prognosis analysis of myocardial injury after acute upper gastrointestinal bleeding
title_full Risk factors, prediction model, and prognosis analysis of myocardial injury after acute upper gastrointestinal bleeding
title_fullStr Risk factors, prediction model, and prognosis analysis of myocardial injury after acute upper gastrointestinal bleeding
title_full_unstemmed Risk factors, prediction model, and prognosis analysis of myocardial injury after acute upper gastrointestinal bleeding
title_short Risk factors, prediction model, and prognosis analysis of myocardial injury after acute upper gastrointestinal bleeding
title_sort risk factors, prediction model, and prognosis analysis of myocardial injury after acute upper gastrointestinal bleeding
topic Cardiovascular Medicine
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9772534/
https://www.ncbi.nlm.nih.gov/pubmed/36568536
http://dx.doi.org/10.3389/fcvm.2022.1041062
work_keys_str_mv AT haojunjun riskfactorspredictionmodelandprognosisanalysisofmyocardialinjuryafteracuteuppergastrointestinalbleeding
AT dangpeizhu riskfactorspredictionmodelandprognosisanalysisofmyocardialinjuryafteracuteuppergastrointestinalbleeding
AT quanxingpu riskfactorspredictionmodelandprognosisanalysisofmyocardialinjuryafteracuteuppergastrointestinalbleeding
AT chenzexuan riskfactorspredictionmodelandprognosisanalysisofmyocardialinjuryafteracuteuppergastrointestinalbleeding
AT zhangguiyun riskfactorspredictionmodelandprognosisanalysisofmyocardialinjuryafteracuteuppergastrointestinalbleeding
AT liuhui riskfactorspredictionmodelandprognosisanalysisofmyocardialinjuryafteracuteuppergastrointestinalbleeding
AT shitao riskfactorspredictionmodelandprognosisanalysisofmyocardialinjuryafteracuteuppergastrointestinalbleeding
AT yanyang riskfactorspredictionmodelandprognosisanalysisofmyocardialinjuryafteracuteuppergastrointestinalbleeding