Background: Wells score for deep vein thrombosis presents problems for implementation in the hospital emergencies, mainly due to the complexity of its enforcement.
Objective: To assess whether the inclusion of D-dimer as a predictor might lead to a simplification of this clinical decision rule.
Patients And Methods: A database of deep vein thrombosis patients was studied by logistic regression model in which the 10 predictors in the Wells score and the dimer D were included. The diagnosis was made with compression ultrasonography with Doppler signal. D-dimer was determined by a quantitative method of latex, a technique immunofiltration or a turbidimetric technique.
Results: 577 patients (54.1% women) were studied, with a mean age of 66.7 (14.2) years. 25.1% were diagnosed with deep vein thrombosis. Only four variables were independent, building a weighted model with greater predictive ability (area under the curve) than the original model (0.844 vs. 0.751, p<0.001). Both models showed an acceptable safety, with a similar rate of failure (0.8% vs. 1%). The simplified model allowed to select a higher percentage of patients who could have benefited from the non performance of the imaging test (20.6% vs. 15.8%, p=0.039).
Conclusions: The introduction of D-dimer in a regression model simplifies the Wells score and maintain the same efficacy and safety, which could improve its implementation in the hospital emergencies.
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http://dx.doi.org/10.1016/j.rce.2014.10.016 | DOI Listing |
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