A risk score for iliofemoral patients with deep vein thrombosis.

OBJECTIVE: Deep vein thrombosis (DVT) is a common condition with a high risk of post-thrombotic morbidity, especially in patients with a proximal thrombus. Successful iliofemoral clot removal has been shown to decrease the severity of post-thrombotic syndrome. It is assumed that earlier thrombus lysis is associated with a better outcome. Generally, the earlier IFDVT is confirmed, the earlier thrombus lysis could be performed. d-Dimer levels and Wells score are currently used to assess the preduplex probability for DVT; however, some studies indicate that the d-dimer value varies depending on the thrombus extent and localization. Using d-dimer and other risk factors might facilitate development of a model selecting those with an increased risk of IFDVT that might benefit from early referral for additional analysis and adjunctive iliofemoral thrombectomy. METHODS: All consecutive adult patients from a retrospective cohort of STAR diagnostic center (primary care) in Rotterdam suspected of having DVT between September 2004 and August 2016 were assessed for this retrospective study. The diagnostic workup for DVT including Wells score and d-dimer were performed as well as complete duplex ultrasound examination. Patients with objective evidence of DVT were categorized according to thrombus localization using the Lower Extremity Thrombolysis classification. Logistic regression analysis was done for a model predicting IFDVT. The cut-off value of the model was determined using a receiver operating characteristic curve. RESULTS: A total of 3381 patients were eligible for study recruitment, of whom 489 (14.5%) had confirmed DVT. We developed a multivariate model (sensitivity of 77% and specificity of 82%; area under the curve, 0.90; 0.86-0.93) based on d-dimer, Wells score, age, and anticoagulation use, which is able to distinguish IFDVT patients from all patients suspected of DVT. CONCLUSIONS: This multivariate model adequately distinguishes IFDVT among all suspected DVT patients. Practically, this model could give each patient a preduplex risk score, which could be used to prioritize suspected IFDVT patients for an immediate imaging test to confirm or exclude IFDVT. Further validation studies are needed to confirm potential of this prediction model for IFDVT.

Safe Exclusion of Deep Vein Thrombosis by a Rapid Sensitive ELISA D-dimer and Compression Ultrasonography in 1330 Outpatients With Suspected DVT.

Of 1330 outpatients with suspected deep vein thrombosis (DVT), a normal enzyme-linked immunosorbent assay (ELISA) d-dimer (VIDAS) of <500 ng/mL was true negative in 382 of 384 and false negative in compression ultrasonography (CUS) in 2, indicating a sensitivity of 99.52% and a negative predictive value (NPV) of 99.48%, with a specificity of 36% irrespective of clinical score. In 1059 outpatients with no DVT, the CUS was positive for the alternative diagnoses (AD): Bakers cyst, muscle hematoma, or old DVT in 62 (5.8%); superficial vein thrombosis without DVT in 78 (7.4%), and leg edema or varices in 17%. A second CUS in 641 patients was positive in 26 (4.0%), indicating an NPV of 96% after a first negative CUS. The NPV of the combination of a negative first CUS and a ELISA d-dimer test <1000 ng/mL was 99.1% at a specificity of 66.9%. As this strategy is cost effective by reduction in the need to repeat CUS by 67%, we designed a novel algorithm for the safe exclusion and diagnosis of DVT and AD for subsequent evaluation in a large prospective study.