Predictive and associative models to identify hospitalized medical patients at risk for VTE

Field Value
Model ID11-013-01
Model NameInternational Medical Prevention Registry on Venous Thromboembolism (IMPROVE) - Predictive Model
Pubmed ID21436241
First AuthorSpyropoulos
JournalChest
Year2011
TitlePredictive and associative models to identify hospitalized medical patients at risk for VTE
Primary Index ConditionVenous Thromboembolism (VTE)
Secondary Index ConditionDiagnosis
OutcomeVenous Thromboembolism (VTE)
Model Sample Size13172
Cohort Sample Size15156
Number of Events184
Follow-Up DurationModerate (3-6 months)
AUROC0.65
Calibration Reported1
CovariatesPrevious VTE; Known thrombophilia; Cancer; Age >60 y
Mesh TermsTo be updated
Number of Validations0

External Validations