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The purpose of this study is to prospectively validate the first PUMCH model for acute PE severity and prognosis prediction based on multi-center data constructed in the pre-project period based on national population data, and to optimize the PUMCH model based on artificial intelligence clustering algorithm.
Full description
Patients with pulmonary embolism and aged 18 years or older were enrolled in this study.Patient demographic characteristics(age, sex, department, diagnosis), basic vital signs, symptoms at their admissions (hemoptysis, dyspnea, chest pain, syncope, laboratory examinations (blood lab routines, blood gas, liver and kidney function, myocardial marker), and imaging examinations (vascular ultrasonography, computed tomographic angiography, echocardiography, chest CT,CTPA, pulmonary perfusion imaging, pulmonary angiography, PET/CT) were prospectively collected. Patients were followed up every 1/3/6 months to obtain survival outcomes.
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Inclusion criteria
age ≥ 18 years
Inpatients with acute PTE diagnosed by imaging (CTPA, enhanced CT, V/Q imaging suggesting a high probability of PE, pulmonary angiography, MRPA) containing any of the following conditions.
signed informed consent form
Exclusion criteria
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Central trial contact
Juhong Shi, M.D; Min Peng, M.D
Data sourced from clinicaltrials.gov
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