Combination of D-dimer and Albumin in the Prediction of Deep Vein Thrombosis in Patients with Spontaneous Intracerebral Hemorrhage

BACKGROUND AND PURPOSE: Deep venous thrombosis (DVT) makes spontaneous intracerebral hemorrhage (ICH) treatment more challenging. We aimed to determine the predictive ability of D-dimer combination with albumin for DVT in spontaneous ICH. METHODS: Spontaneous ICH patients were retrospectively included. Univariate and multivariate logistic regression analyses were performed. The restricted cubic spline (RCS) curve was adopted. Multivariate logistic regression analysis was further conducted to assess the predictive powers of D-dimer and albumin in different models. Besides, the incremental predictive ability of D-dimer combination with albumin was evaluated with areas under the curve (AUC), net reclassification improvement (NRI), and integrated discrimination index (IDI). RESULTS: D-dimer was significantly higher, while albumin was considerably lower in the DVT group than in the non-DVT group [D-dimer, 0.47 (0.29, 1.08) versus 0.98 (0.48, 2.49), P < .001; albumin, 39.45 ± 7.05 versus 36.93 ± 4.77, P < .001). The multivariate logistic regression analysis showed that higher D-dimer and lower albumin were independently related to DVT after controlling confounders (D-dimer, OR = 1.061, 95% CI = 1.012–1.112, P = .013; albumin, OR = 0.934, 95% CI = 0.895–0.973, P = .001). The best cut-off value of the D-dimer was 0.40, and the albumin was 37.15. Besides, D-dimer and albumin had good predictive abilities in different models. The AUC, NRI, and IDI revealed that models that included the D-dimer combination with albumin had better predictability than those without. CONCLUSIONS: D-dimer combination with albumin has a good predictability of DVT in spontaneous ICH.