Adverse Outcome of Acute Pulmonary Embolism by Artificial Intelligence System Based on CT Pulmonary Angiography
Trial statusRecruiting
Trial phaseNot listed
Trial typeObservational
Biological sexAll
Age18+
SponsorShengjing Hospital
About this trial
The investigators aim to build a predictive tool for Adverse Outcome of Acute Pulmonary Embolism by Artificial Intelligence System Based on CT Pulmonary Angiography.
Eligibility criteria
This trial does not accept healthy volunteersQualifiers
age of ≥ 18 years and a pulmonary embolism diagnosis based on CT pulmonary angiography
Disqualifiers
pregnancy
reception of reperfusion treatment before admission
missing data regarding CT parameters, echocardiography, cardiac troponin I (c-Tn I), and N-terminal-pro brain natriuretic peptide (NT-pro BNP) levels.
Trial population
Chinese
Trial design
Design model
Cohort
Time perspective
Prospective
Treatments tested in this trial
no intervention
Other interventionno intervention
Treatment groups
No treatment groups listed
Trial outcomes
Primary outcomes
1
Incidence of Treatment-Emergent Adverse Events
The outcomes of interest were defined as the occurrence of adverse outcomes within 30 days after admission. Adverse outcomes were defined as deaths, the need for mechanical ventilation, the need for cardiopulmonary resuscitation, and the need for life-saving vasopressor and reperfusion treatment.
Time frame
30 daysSecondary outcomes
1
Incidence of Treatment-Emergent Adverse Events
The outcomes of interest were defined as the occurrence of adverse outcomes within 2 years after admission. Adverse outcomes were defined as deaths, the need for mechanical ventilation, the need for cardiopulmonary resuscitation, and the need for life-saving vasopressor and reperfusion treatment.
Time frame
2 yearsSponsors and contacts
Click on the lead sponsor to view all of their trials.
Source ClinicalTrials.gov