Predictive values of sST2 and IL-33 for heart failure in patients with acute myocardial infarction

Xing, Jingxian; Liu, Junyan; Geng, Tao

doi:10.1177/15353702211034144

Cited by 14 publications

(8 citation statements)

References 36 publications

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“…This scenario is supported by significantly increased sST2 and IL-33 levels in patients with acute myocardial infarction as compared to normal healthy controls, with a further increase in patients with heart failure. 60 Moreover, protein contents of IL-33 and ST2 increased in a mouse myocardial infarction model, whereas a reduced-deubiquitinase USP17-mediated IL-33 degradation improved cardiomyocyte apoptosis. 61 In a rat myocardial infarction model, treatment with bisoprolol, a beta-blocker, for 4 weeks improved cardiac function and reduced serum sST2 levels, and decreased infarct size when compared with the placebo group.…”

Section: Il-33 In Myocardial Infarctionmentioning

confidence: 98%

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Roles of IL-33 in the Pathogenesis of Cardiac Disorders

Jiang,

Jin,

et al. 2023

Exp Biol Med (Maywood)

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Interleukin-33 (IL-33) is a member of the IL-1 cytokine family and is believed to play important roles in different diseases by binding to its specific receptor suppression of tumorigenicity 2 (ST2). In the heart, IL-33 is expressed in different cells including cardiomyocytes, fibroblasts, endothelium, and epithelium. Although many studies have been devoted to investigating the effects of IL-33 on heart diseases, its roles in myocardial injuries remain obscure, and thus further studies are mandatory to unravel the underlying molecular mechanisms. We highlighted the current knowledge of the molecular and cellular characteristics of IL-33 and then summarized its major roles in different myocardial injuries, mainly focusing on infection, heart transplantation, coronary atherosclerosis, myocardial infarction, and diabetic cardiomyopathy. This narrative review will summarize current understanding and insights regarding the implications of IL-33 in cardiac diseases and its diagnostic and therapeutic potential for cardiac disease management.

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Section: Il-33 In Myocardial Infarctionmentioning

confidence: 98%

Section: Role Of Il-33 In Cardiac Diseasementioning

confidence: 99%

Roles of IL-33 in the Pathogenesis of Cardiac Disorders

Jiang,

Jin,

et al. 2023

Exp Biol Med (Maywood)

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“…Acute myocardial infarction (AMI) is a kind of heart disease in cardiology due to the blockage of the coronary arteries. 1 AMI can cause a sudden decline in blood flow, myocardial hypoxia, necrosis, ischaemia and result in complications including chest pain and arrhythmia. 2 The onset of AMI is fast and the disease progresses quickly, and if the treatments are not timely provided, AMI can be life-threatening.…”

Section: Introductionmentioning

confidence: 99%

“…Acute myocardial infarction (AMI) is a kind of heart disease in cardiology due to the blockage of the coronary arteries 1. AMI can cause a sudden decline in blood flow, myocardial hypoxia, necrosis, ischaemia and result in complications including chest pain and arrhythmia 2.…”

Section: Introductionmentioning

confidence: 99%

Association of lactate detection with in-hospital mortality in critically ill patients with acute myocardial infarction: a retrospective cohort study

Chen

Xing

et al. 2023

BMJ Open

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ObjectivesTo assess the associations of lactate level or lactate clearance at different time points with in-hospital mortality in critically ill patients with acute myocardial infarction (AMI).DesignA cohort study.SettingThe Medical Information Mart for Intensive Care III database.Participant490 AMI patients.InterventionNone.Primary and secondary outcome measuresIn-hospital mortality of patients.ResultsIn total, 120 (24.49%) patients died at the end of follow-up. After adjusting for confounders, increased risk of in-hospital mortality in patients with AMI was observed in those with high lactate level (24 hours) (HR=1.156, 95%CI: 1.002 to 1.333). Increased lactate clearance (24 hours) was correlated with a decreased risk of in-hospital mortality in patients with AMI (HR=0.995, 95% CI: 0.994 to 0.997). The area under the curves (AUCs) of lactate level (24 hours) and lactate clearance (24 hours) were 0.689 (95% CI: 0.655 to 0.723) and 0.672 (95% CI: 0.637 to 0.706), respectively. The AUC of lactate level (24 hours) and lactate clearance (24 hours) was higher than lactate level (baseline).ConclusionsIncreased lactate level (24 hours) was associated with an elevated risk of in-hospital mortality in patients with AMI and increased lactate clearance (24 hours) was correlated with a decreased risk of in-hospital mortality in patients with AMI despite the age and genders.

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“…It is thus particularly important to predict the risk of heart failure in patients with AMI. Recent studies have shown that carbohydrate antigen 125, brain derived neurotrophic factor, serum soluble growth stimulation expressed gene 2, and interleukin-33 are effective predictors of heart failure in patients with AMI [ 12 , 13 ]. However, these indicators are rarely measured in clinical trials, which largely limits their clinical practice.…”

Section: Introductionmentioning

confidence: 99%

Establishment and validation of a prediction nomogram for heart failure risk in patients with acute myocardial infarction during hospitalization

Chen,

Pan,

et al. 2023

BMC Cardiovasc Disord

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Background Acute myocardial infarction (AMI) with consequent heart failure is one of the leading causes of death in humans. The aim of this study was to develop a prediction model to identify heart failure risk in patients with AMI during hospitalization. Methods The data on hospitalized patients with AMI were retrospectively collected and divided randomly into modeling and validation groups at a ratio of 7:3. In the modeling group, the independent risk factors for heart failure during hospitalization were obtained to establish a logistic prediction model, and a nomogram was constructed. The receiver operating characteristic (ROC) curve, calibration curve, and decision curve analysis (DCA) were used to evaluate the predictive performance and clinical value. Machine learning models with stacking method were also constructed and compared to logistic model. Results A total of 1875 patients with AMI were enrolled in this study, with a heart failure rate of 5.1% during hospitalization. The independent risk factors for heart failure were age, heart rate, systolic blood pressure, troponin T, left ventricular ejection fraction and pro-brain natriuretic peptide levels. The area under the curve (AUC) of the model in modeling group and validation group were 0.829 and 0.846, respectively. The calibration curve showed high prediction accuracy and the DCA curve showed good clinical value. The AUC value of the ensemble model by the stacking method in the validation group were 0.821, comparable to logistic prediction model. Conclusions This model, combining laboratory and clinical factors, has good efficacy in predicting heart failure during hospitalization in AMI patients.

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Predictive values of sST2 and IL-33 for heart failure in patients with acute myocardial infarction

Cited by 14 publications

References 36 publications

Roles of IL-33 in the Pathogenesis of Cardiac Disorders

Roles of IL-33 in the Pathogenesis of Cardiac Disorders

Association of lactate detection with in-hospital mortality in critically ill patients with acute myocardial infarction: a retrospective cohort study

Establishment and validation of a prediction nomogram for heart failure risk in patients with acute myocardial infarction during hospitalization

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