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Year : 2005  |  Volume : 49  |  Issue : 4  |  Page : 218-222

A risk scoring system for prediction of haemorrhagic stroke

1 Professor, Department of Preventive & Social Medicine & Clinical Epidemiology Unit, Govt. Medical College, Nagpur, India
2 Senior Research Officer, Occupational Medicine Division, National Institute of Occupational Health, Ahmedabad, India

Correspondence Address:
S P Zodpey
Professor, Department of Preventive & Social Medicine & Clinical Epidemiology Unit, Govt. Medical College, Nagpur
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Source of Support: None, Conflict of Interest: None

PMID: 16479901

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The present pair-matched case control study was carried out at Government Medical College Hospital, Nagpur, India, a tertiary care hospital with the objective to devise and validate a risk scoring system for prediction of hemorrhagic stroke. The study consisted of 166 hospitalized CT scan proved cases of hemorrhagic stroke (ICD 9, 431-432). and a age and sex matched control per case. The controls were selected from patients who attended the study hospital for conditions other than stroke. On conditional multiple logistic regression five risk factors- hypertension (OR= 1.9. 95% Cl=1.5-2.5). raised scrum total cholesterol (OR=2.3, 95% Cl= 1.1-4.9). use of anticoagulants and antiplatelet agents (OR=3.4, 95% Cl=1.1-10.4). past history of transient ischaemic attack (OR=8.4, 95% Cl = 2.1- 33.6) and alcohol intake (OR=2.1, 95% Cl=1.3-3.6) were significant. These factors were ascribed statistical weights (based on regression coefficients) of 6,8,12,21 and 8 respectively. The nonsignificant factors (diabetes mellitus, physical inactivity, obesity, smoking, type A personality, history of claudication, family history of stroke, history of cardiac diseases and oral contraceptive use in females) were not included in the development of scoring system. ROC curve suggested a total score of 21 to be the best cut-off for predicting haemorrhag stroke. At this cut-off the sensitivity. specificity. Positive predictivity and Cohen's kappa were 0.74, 0.74, 0.74 and 0.48 respectively. The overall predictive accuracy of this additive risk scoring system (area under ROC curve by Wilcoxon statistic) was 0.79 (95% Cl=0.73-0.84). Thus to conclude, if substantiated by further validation, this scorincy system can be used to predict haemorrhagic stroke, thereby helping to devise effective risk factor intervention strategy.

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