Derivation and validation of a simple model to identify venous thromboembolism risk in medical patients

摘要: Background Fewer than half of eligible hospitalized medical patients receive appropriate venous thromboembolism (VTE) prophylaxis. One reason for this low rate is the complexity existing risk assessment models. A simple set easily identifiable factors that are highly predictive VTE among may enhance thromboprophylaxis. Methods Electronic record interrogation was performed to identify admissions from January 1, 2000-December 31, 2007 (n=143,000), and those with objectively confirmed during hospitalization or within 90 days following discharge. Putative most were identified, a model (RAM) derived; 46,000 medicine 2008-December 2009 served as validation cohort test ability RAM. The newly derived RAM compared published tool (Kucher Score). Results Four factors: previous VTE; an order bed rest; peripherally inserted central catheterization line; cancer diagnosis, minimal hospital-associated (area under receiver operating characteristic curve [AUC]=0.874; 95% confidence interval [CI], 0.869-0.880). These upon in separate population (validation cohort) retained AUC=0.843; CI, 0.833-0.852. 4-element at developing superior Kucher Score. Conclusions identified study be used improve rates This accurate alternative more complicated tools currently exist.