Fig 1.
Flowchart for patients selection.
Flowchart demonstrating the breakdown of 477 patients in the ICH database. 343 patients were enrolled for analysis.
Table 1.
The inclusion and exclusion criteria for the study cohort.
Table 2.
Patient characteristics and predictors for vmICH in univariate and multivariate analysis.
Table 3.
Rate and classification of Vascular Malformations: Radiologic findings.
Fig 2.
ROC curves for prediction of age and volume.
Receiver operating curves for prediction of age and volume as diagnostic suitable variables for vascular malformations. Patients with vascular malformations were younger. The ROC curve for age yielded an AUC value of 0.7 (95%CI = 0.69;.079), p < .0001; p = 0.001) with a cut off value of 55.5 years. The ROC curve for volume yielded an AUC value of 0.8 (95%CI 0.53 [0.4;0.7]; p = 0.001) with a cut off value of 35.6 cm3. ROC = Receiver Operating Characteristic.
Table 4.
Urgent surgery and mortality rate.
Fig 3.
ROC for prediction of hemorrhage volume.
Receiver operating curves for prediction of volume as diagnostic suitable variables for final outcome. The ROC curve yielded an AUC value of 0.8 (95%CI = 0.69; 0.80); p<0.0001 with a cut off value of 45.9cm3. ROC = Receiver Operating Characteristic.
Table 5.
Rate of antiplatelet drugs and association to hematoma volume.
Table 6.
Univariate and multivariate analysis for primary favorable outcome.