Development and Validation of an Interpretable Machine Learning Model for Predicting Venous Thromboembolism（VTE）in Intensive Care Unit (ICU) Patients

NCT07596264 | Completed DMC

• 1 other identifier: 19242-2-01
• Study Type: observational
• Target: 12,061
• Locations: 1 country
• Sites: 1

Brief Summary

Venous thromboembolism remains a leading cause of preventable mortality in intensive care unit (ICU) patients. Existing risk-stratification tools were developed in general medical populations and lack ICU-specific predictors. This study was to develop and validate an interpretable machine learning (ML) model to predict VTE in ICU patients.

Conditions

Prediction Models; Venous Thromboembolism

Outcome Measures

Primary Outcomes (1)

• validate an interpretable machine learning (ML) model to predict VTE in ICU patients

  the first day after the patients leaf ICU

Interventions

no intervention OTHER

no intervention

Eligibility Criteria

• Age: 18 Years+
• Sex: all
• Healthy Volunteers: No
• Age Groups: Adult (18-64), Older Adult (65+)
• Sampling Method: Non-Probability Sample

Study Population

Patients admitted to ICU were included in the study cohort from January 2022 to October 2025. Inclusion criteria were: (1) age ≥18 years; (2) ICU length of stay ≥48 hours; (3) only the first ICU admission per patient was retained. Exclusion criteria were: (1) VTE diagnosed prior to ICU admission; (2) VTE diagnosed within 24 hours of ICU admission; (3) \>20% missing values in key variables. The final cohort comprised 12,061 patients, of whom 587 (4.9%) developed VTE during ICU hospitalization.

You may qualify if:

• age ≥18 years;
• ICU length of stay ≥48 hour
• the first ICU admission

You may not qualify if:

• VTE diagnosed prior to ICU admission
• VTE diagnosed within 24 hours of ICU admission
• \>20% missing values in key variables

Sponsors & Collaborators

• Beijing Tsinghua Chang Gung Hospital: lead

Study Sites (1)

Beijing Tsinghua Changgung Hospital

Beijing, Beijing Municipality, 102218, China

Location

MeSH Terms

Conditions

Venous Thromboembolism

Condition Hierarchy (Ancestors)

Thromboembolism; Embolism and Thrombosis; Vascular Diseases; Cardiovascular Diseases

Study Design

• Study Type: observational
• Observational Model: CASE ONLY
• Time Perspective: RETROSPECTIVE
• Sponsor Type: OTHER
• Responsible Party: PRINCIPAL INVESTIGATOR
• PI Title: vice president

Study Record Dates

• First Submitted: May 12, 2026
• First Posted: May 19, 2026
• Study Start: January 1, 2022
• Primary Completion: December 31, 2025
• Study Completion: December 31, 2025
• Last Updated: May 19, 2026

Record last verified: 2022-01

Data Sharing

• IPD Sharing: Will not share

Locations

CN (1)