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Heart Evaluation of Acute ischemic stroke with Reperfusion Therapy (HEART) is a single-center observational registry evaluating the heart of patients hospitalized for acute ischemic stroke with reperfusion therapy.
This registry aims to establish quantified risk stratification and prognostic models, as well as suggest effective diagnostic and therapeutic strategies.
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There is growing evidence pointing to close interactions between acute ischemic stroke (AIS) and heart diseases. Heart diseases may lead to AIS (heart-to-brain interactions), with many cardiac conditions have been proposed as potential sources of cerebral embolism, and studies have also shown that AIS can induce cardiac injury (brain-to-heart interactions), namely Stroke-Heart Syndrome. In addition, due to the commonly shared risk factors, AIS patients had a significantly higher frequency of coexisting prior known or unknown coronary heart disease (brain-and-heart interactions). These heart problems not only add complexity to the etiological diagnosis but also account for a great proportionate mortality in AIS patients with reperfusion therapy, which is the most effective treatment method for AIS. The interconnected and coexisting properties of AIS and heart diseases requires a comprehensive scheme to evaluate, prevent, and treat patients.
Heart Evaluation of Acute ischemic stroke with Reperfusion Therapy (HEART) is a single-center observational registry evaluating the heart of patients hospitalized for acute ischemic stroke with reperfusion therapy.
This registry aims to establish quantified risk stratification and prognostic models, as well as suggest effective diagnostic and therapeutic strategies.
The clinical, laboratory and imaging information will be collected at the baseline. During an estimated 3-year follow-up, the diagnostic or monitoring procedures, treatment, functional status and new vascular events will be recorded by web-based patients' self-reports, investigators' regular telephone visits.
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400 participants in 1 patient group
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Jianqiang Ni, MD, PhD
Data sourced from clinicaltrials.gov
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