Risk Stratification Value of Biomarkers in Patients With Myocarditis

First Affiliated Hospital Xi'an Jiaotong University1,000 enrolled

Overview

The aim of this study is to collect clinical data and biological specimens from patients with myocarditis and construct a predictive model for the prognosis of myocarditis.

The aim of this study is to retrospectively and prospectively collect clinical data and biological specimens from patients with myocarditis who meet the inclusion and exclusion criteria. General molecular biology analysis, genome sequencing, transcriptome sequencing, methylation sequencing, metabolomics analysis, proteomics analysis, genome-wide chromosome conformation capture and other techniques are used to construct a prognosis prediction model for myocarditis.

Study Type

OBSERVATIONAL

Enrollment

1,000

Conditions

Myocarditis

Eligibility

Sex: ALLMin age: 3 YearsMax age: 80 Years

Medical Language ↔ Plain English

Inclusion Criteria: * All patients should meet the diagnostic criteria for myocarditis * Patients who are regularly followed up at the corresponding cardiovascular center Exclusion Criteria: * Age \<3 years or \>80 years * Pregnant or lactating women * The patient refused to sign the informed consent and refused to participate in the study * None of the above is consistent, but the patient cannot sign the informed consent temporarily due to coma and other reasons, and there is no legal representative to sign it instead. Depending on the condition, the patient may not wake up to sign the informed consent

Locations (1)

First Affiliated Hospital of Xi'an Jiaotong University

Xi'an, Shaanxi, China

RECRUITING

Outcomes

Primary Outcomes

Change in the incidence of MACCE

MACE (major adverse cardiovascular events) including all-cause death, myocardial infarction, stroke and coronary revascularization surgery. The MACCE will be assessed from the medical records.