Fig 1.
Inclusion and Exclusion chart.
Table 1.
Sample description.
Table 2.
Clusters´ characteristics: variables included in the cluster analysis.
Fig 2.
Decision tree for cluster´s allocation.
a The total of patient classified into this cluster are represent by the first number; if there is a misclassification, a second number is shown, and if missing data exists, the algorithm assigned “half patient” to each cluster; b NIHSS: National Institute of Health Stroke Scale; a score of 16 define a severe stroke; c Rancho Los Amigos Scale measures cognitive function at admission (1–8, worse-better); at level 6, patient gives context appropriate, goal-directed responses, present recent memory problems; d Barthel index of 10 or less indicates severe disability.
Table 3.
Clusters´ characteristics: variables not included in the cluster analysis.
Table 4.
Association between the clusters and outcomes.