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In this study, by establishing a clinical cohort of infective endocarditis, we observed the natural prognosis and influencing factors in the process of disease development and regression; we used multi-omics technology to understand the prognostic value of its biomarkers, and provided new ideas and evidence for the pathogenesis, clinical diagnosis and treatment of IE.
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Infective endocarditis is an inflammation of the inner lining of the heart valves or ventricular walls caused by direct infection of the heart by bacteria, fungi and other microorganisms via the bloodstream route. At present, the clinical diagnosis of IE is mainly based on a combination of typical symptoms, imaging and blood culture, etc. Finding more sensitive means and more accurate indicators for early detection of IE flora distribution characteristics is of great significance for the prevention and targeted treatment of IE. Therefore, in this study, by establishing a clinical cohort of infective endocarditis, we observed the natural prognosis and influencing factors in the process of disease development and regression; we used multi-omics technology to understand the prognostic value of its biomarkers, and provided new ideas and evidence for the pathogenesis, clinical diagnosis and treatment of IE.
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2,000 participants in 1 patient group
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Guoliang Li; Yang Yan
Data sourced from clinicaltrials.gov
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