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1.
Front Cardiovasc Med ; 9: 1041062, 2022.
Artículo en Inglés | MEDLINE | ID: mdl-36568536

RESUMEN

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.

2.
Front Cardiovasc Med ; 9: 933597, 2022.
Artículo en Inglés | MEDLINE | ID: mdl-36237901

RESUMEN

Background: Gastrointestinal bleeding (GIB) is one of the most serious complications of acute myocardial infarction (AMI) and is correlated with poor outcomes. Objective: To evaluate the prevalence, risk factors and in-hospital mortality of GIB in patients with AMI. Methods: This observational case-control study retrospectively enrolled consecutive patients with AMI from the Department of Cardiovascular Medicine and Cardiovascular Surgery of the First Affiliated Hospital of Xi'an Jiaotong University from January 2015 to December 2020. GIB after AMI was identified by International Classification of Diseases (ICD) codes from inpatient medical settings and validated by medical record review. AMI patients without GIB were accordingly classified as the control group. Propensity score matching (PSM) was used to match with the GIB group and the control group. All anonymized clinical data were provided by the Biobank of the First Affiliated Hospital of Xi'an Jiaotong University. Results: A total of 5,868 AMI patients were enrolled, 0.87% (51/5,868) of whom developed GIB after AMI. On the univariate analysis, history of diabetes, chronic kidney disease, Killip IV, a lower hemoglobin concentration, a higher serum level of creatinine, blood urea nitrogen and D-dimer were closely associated with the risk of GIB (P < 0.05). On the multivariable analysis, a lower hemoglobin concentration (OR: 0.93, 95% CI: 0.89-0.96, P < 0.001) was independently associated with the risk of GIB. Patients with GIB had a much higher in-hospital mortality rate than those without GIB (14.3 vs. 2.1%, P = 0.047). In-hospital mortality among patients with GIB after AMI appeared to be associated with a decreased hemoglobin concentration (OR: 0.93, 95% CI: 0.86-0.99, P = 0.045) and Killip IV (OR: 51.59, 95% CI: 2.65-1,005.30, P = 0.009). Conclusion: The history of diabetes, poor renal function and heart failure were associated with the high risk of GIB in patients experiencing AMI. The in-hospital mortality in patients with AMI complicating GIB was higher than that in patients without GIB and was associated with a decreased hemoglobin concentration and high Killip classification.

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