ArticleFrontiers in cardiovascular medicine2022
Risk factors, prediction model, and prognosis analysis of myocardial injury after acute upper gastrointestinal bleeding.
Article in Frontiers in cardiovascular medicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
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3 citing papers in PubMed, 3 citations in OpenAlex.
- Analysis of factors associated with 1-year rebleeding in patients with acute upper gastrointestinal bleeding and a Glasgow- Blatchford Score ≥ 6 based on serological indicators.Frontiers in medicine · 2025Article
- Machine learning derived model for the prediction of bleeding in dual antiplatelet therapy patients.Frontiers in cardiovascular medicine · 2024Article
- Risk factor analysis and predictive model construction for postoperative bleeding in early esophageal cancer.American journal of translational research · 2024Article
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Authors and funding
8 authors at 1 institution in 1 country.
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No grant is acknowledged in the PubMed record.
Abstract
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, 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.
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