Background:Cerebral Venous Thrombosis (CVT) is a multifactorial condition with wide clinical presentation. They have favourable prognosis but 15% die or become dependent. Hence, there is need for user friendly risk scoring system which helps in clinical decision making and predicting prognosis. Methods:The present study was a prospective observational study of CVT patients from April, 2018 to February, 2019 at Department of Neurology, King George Hospital, Andhra Medical College, Visakhapatnam, and followed up for three months. Patients with confirmed diagnosis of CVT based on history and radiological findings were studied. All the patients were assessed for CVT Grading Scale, CVST Scoring and CVT Risk Score. Results:Sixty-six CVT patients were enrolled with mean age of 32.4years. CVT Risk score can predict poor outcome if cut off score is above 3 with sensitivity of 92 % and specificity of 20 %. Prediction of prognosis and brain lesions by CVT risk score analysed by Fischer exact test is highly significant (p= 0.00). CVT Risk Score and CVT Grade Scale had high sensitivity in predicting prognosis at one and three months. CVT grading scale with mild scores had good outcome and those with severe grading had poor outcome. Conclusion:Prognostic Scores in Indian population was a novel study in CVT patients. Despite low specificity, it can be used to avoid unnecessary or dangerous intervention in low-risk patients and identifies high-risk patients with poor prognosis, who require intensive interventions, such as local IV thrombolysis and decompressive surgery.
Objective: To study the Inter – relationship between Quality of life and Cognitive dysfunction in People with Epilepsy and to identify the factors that influence Cognition and QOL in PWE. Methods: We analyzed the factors that were independently associated with QOLIE-31, MMSE and MOCA scores which included demographic and clinical variables using Chi square, ANOVA and Multivariate regression analysis. Pearson coefficient calculator to know the interrelationship between QOLIE-3 scores, MMSE and MOCA. Results: We found a significant association between polytherapy, TLE and LRE with QOLIE-31 scores (p value being 0.0007 and <0.00001 respectively). We found a significant association between low MMSE scores and long duration of epilepsy more than 6 years( p: 0.001 and 0.002), statistically highly significant association when compared with TLE and LRE (p: 0.000). However MOCA showed strong positive correlation with QOLIE-31 scores when compared with MMSE. We found a moderate positive correlation with r value being 0.6 and a significant p value being <0.0001. Correlation between MOCA and QOLIE 31 score showed a significant positive correlation with an r value of 0.7 and a P value of <0.0000. Correlation between total MMSE and MOCA scores showed a significant positive correlation of r value being 0.8, p value being 0.000. Conclusion: Polytherapy, Long duration of Epilepsy, Temporal Lobe and other Focal Epilepsies, Poor Quality of Life standards are all independent factors determining the Cognitive dysfunction. There seems to be bidirectional relationship between Quality of Life and Cognitive dysfunction. MOCA seems to be superior to MMSE for Neurocognitive screening in PWE.
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