A multivariate analysis of prognostic predictors of putaminal haemorrhage

We report the results of a multivariate analysis of prognostic predictors o f putaminal haemorrhage. In this study, 44 patients with CT proven putamina l haemorrhage were included. A number of demographic (2), clinical (14), ra diological (4) and evoked potential (2) parameters were evaluated employing multivariate logistic regression analysis. The end point was defined on th e basis of 3 month Barthel index score into poor (death or BI < 12) and goo d. (BI greater than or equal to 12). The mean age of the patients was 50.2 yr (range 4-83) and 16 were females. The significant prognostic variables f or the outcome of putaminal haemorrhage on univariate analysis included Gla sgow coma scale (GCS), Canadian neurological scale (CNS), tendon reflex, pu pillary change, incontinence, size and location of hematoma, midline shift (P<0.01); muscle power and medical complications (P<0.05). A model comprisi ng GCS, pupillary change, incontinence and location of haematoma was found to be most suitable for predicting the 3 months outcome of patients of puta minal haemorrhage employing multivariate logistic regression analysis.