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

Field Value
Model ID11-013-02
Model NameIMPROVE - Associative 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)
AUROC0.69
Calibration Reported
CovariatesPrevious VTE, Known thrombophilia, Current lower-limb paralysis, Current cancer, Immobilized >=7 days, ICU/CCU stay, Age >60 y
Mesh TermsTo be updated
Number of Validations1

External Validations

Yes
1
0.7
1st Author Year Sample Size AUC Calibration Relatedness
Rosenberg 2014 19217 0.7 No Distantly Related