Objective: To explore the influence factors of cognitive impairment following first onset of stroke, in order to predict the existence of cognitive impairment in patients with stroke and help for future clinical intervene.
Methods: 364 survivors of first onset of stroke were evaluated by the mini-mental state examination (MMSE) in this study. Data were collected on age, gender, education level, location of brain lesion, diagnostic stroke subtype and so on. Logistic regressions analyzing is used to determine those factors that could predict cognitive impairment of stroke patients by MMSE assessment score.
Results: The factors including location of brain lesion, area of the lesion, high homocysteine, side of the lesion, complications, education level and age can join in the logistic regression analysis format. The R of the format is 0.849 and these seven factors can explain 72.1% variation of the scores of MMSE.
Conclusion: The logistic regression analysis revealed that location of brain lesion, area of the lesion, high homocysteine, side of the lesion, complications, education level and age were predictors of the cognition function assessment of stroke patients. The prevalence of cognitive impairment can be mainly influenced by these factors.