CLINICAL AND COMPUTER TOMOTOGRAPHIC CRITERIA AS FOR PREDICTION OF FUNCTIONAL OUTPUT IN EARLY RECOVERY PERIOD OF CEREBRAL ISCHEMIC HEMISPHERIC STROKE
DOI:
https://doi.org/10.11603/2415-8798.2017.3.8094Keywords:
ischemic hemispheric stroke, volume of cerebral infarction, neurological deficit, prediction.Abstract
One of the important problems of modern medicine is diseases of the circulatory system. According to WHO , more than 17 million deaths from these diseases are registered annually in the world. Cardiovascular and cerebrovascular diseases occupy a leading place in Ukraine.
The aim of the study – to develop the criteria as for prediction of functional output in early recovery period of cerebral ischemic hemispheric stroke based on complex clinical and computer tomotographic research.
Materials and Methods. Complex clinical instrumental-laboratory research was done among 138 patients (the average age of patients – 57.7±0.6 years) in early recovery period of cerebral ischemic hemispheric stroke which included the setting of the focal volume concerning the data of brain CT on the first 72 hours from debut and the grade according to the stroke scale of National Institute of Health (USA ), Barthel Index, modified Rankin Scale on the 10th, 30th, 90th and 180th day of the disease. RO C-analysis was used for the development of criteria as for prediction.
Results and Discussion. We developed mathematical models as for prediction of the degree of disability on modified Rankin Scale (mRS ) (AU C=0.87, p<0.05) and the level of daily functional activity on Barthel Index on the 180th day of cerebral ischemic hemispheric stroke (AU C=0.91, p<0.05), which consider the volume of hot spots on the first 72 hours from debut of the disease and the level of neurological deficit on stroke scale of National Institute of Health (USA ) on the 10th day of disease.
Conclusions. Developed mathematical models allow to predict the degree of disability on modified Rankin Scale (the accuracy of prediction is 81.9 %) and the level of daily functional activity on Barthel Index on the 180th day of cerebral ischemic hemispheric stroke (the accuracy of prediction is 82.6 %).
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