Diagnostic and Prognostic Prediction Models for Chinese Patients With Venous Thromboembolism

Ya-Wei Xu

Status: Enrolling

Conditions: Venous Thromboembolism (VTE)

Study type: Observational

Funder types: Other

Identifiers

NCT03802929

DOMESTIC

Details and patient eligibility

About

The objective of this proposal is to develop and validate diagnostic and prognostic (including short-term and long-term prognoses) prediction models for patients with venous thromboembolism (VTE) in China.

Full description

Venous thromboembolism (VTE), which clinically manifests as deep vein thrombosis (DVT) and pulmonary embolism (PE), is one of the leading causes of mortality that need to be accurately diagnosed and effectively managed. Although a number of clinical decision rules in the domain of VTE have been presented in the literature, such as the well-known prediction models developed by Wells and colleagues, the prognostic models to assess VTE recurrence risk in patients who suffered from a VTE or the Pulmonary Embolism Severity Index (PESI) for short-term mortality risk in PE patients, and various other diagnostic models for both DVT and PE. They are few designed for Chinese patients. The primary objective of this proposal is to develop and validate diagnostic and prognostic (including short-term and long-term prognoses) prediction models for patients with VTE in China.

Enrollment: 4,000 estimated patients

Sex: All

Ages: 18+ years old

Volunteers: No Healthy Volunteers

Inclusion criteria

1. > 18 years old
2. First episode of PE and/or DVT (diagnosed by pulmonary angiogram, chest computed tomography pulmonary angiography(CTPA), Ventilation/Perfusion (V/Q) lung scan read as high probability by the radiologist, and/or (+) bilateral lower limb venous compression ultrasonography (CCUS))

Exclusion criteria

1. Patients with prior VTE
2. Cannot provide written informed consent
3. Unable to read questionnaire in Chinese or English
4. a record of pregnancy in the preceding 12 months

Trial design

4,000 participants in 2 patient groups

Derivation Cohort

Description:

Derivation Cohort of Diagnostic Prediction Model: Participants will be recruited from the emergency department of five general urban hospitals in China, including Shanghai Tenth People's Hospital; Nanfang Hospital of Southern Medical University; First Affiliated Hospital, Sun Yat-Sen University; Zhongshan Hospital Xuhui Branch, Fudan University; Shanghai Baoshan Luo Dian Hospital; from March 1, 2019. The investigators will randomly assign 70% participants to a derivation cohort. Derivation Cohort of Prognostic Prediction Model: Patients with VTE from 5 thrombosis centers in China, including Shanghai Tenth People's Hospital; Nanfang Hospital of Southern Medical University; First Affiliated Hospital, Sun Yat-Sen University; Zhongshan Hospital Xuhui Branch, Fudan University; Shanghai Baoshan Luo Dian Hospital; between January 2014 and December 2018.

Validation Cohort

Description:

Validation Cohort of Diagnostic Prediction Model: The investigators plan to randomly assign 30% participants for developing the diagnostic prediction model to a Validation cohort. Validation Cohort of Prognostic Prediction Model: New individuals selected by the same inclusion and exclusion criteria as the derivation cohort of prognostic prediction model from the same institutions as a validation cohort of prognostic prediction model will be recruited from January 2019.