Yuesong Pan1, Tian Song2, Ruoling Chen3, Hao Li2, Xingquan Zhao2, Liping Liu2, Chunxue Wang2, Yilong Wang2, Yongjun Wang4. 1. Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China China National Clinical Research Center for Neurological Diseases, Beijing, China Center of Stroke, Beijing Institute for Brain Disorders, Beijing, China Beijing Key Laboratory of Translational Medicine for Cerebrovascular Disease, Beijing, China Department of Epidemiology and Health Statistics, School of Public Health, Capital Medical University, Beijing, China. 2. Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China China National Clinical Research Center for Neurological Diseases, Beijing, China Center of Stroke, Beijing Institute for Brain Disorders, Beijing, China Beijing Key Laboratory of Translational Medicine for Cerebrovascular Disease, Beijing, China. 3. Centre for Health and Social Care Improvement, Faculty of Education Health and Wellbeing, University of Wolverhampton, Wolverhampton, UK. 4. Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China China National Clinical Research Center for Neurological Diseases, Beijing, China Center of Stroke, Beijing Institute for Brain Disorders, Beijing, China Beijing Key Laboratory of Translational Medicine for Cerebrovascular Disease, Beijing, China yongjunwang1962@gmail.com yilong528@gmail.com R.Chen@wlv.ac.uk.
Abstract
BACKGROUND: Previous findings of the association between socioeconomic deprivation and mortality after ischemic stroke are inconsistent. There is a lack of data on the association with combined low education, occupational class, and income. We assessed the associations of three indicators with mortality. METHODS: We examined data from the China National Stroke Registry, recording all stroke patients occurred between September 2007 and August 2008. Baseline socioeconomic deprivation was measured using low levels of education at <6 years, occupation as manual laboring, and average family income per capita at ≤¥1000 per month. A total of 12,246 patients with ischemic stroke were analyzed. RESULTS: In a 12-month follow-up 1640 patients died. After adjustment for age, sex, cardiovascular risk factors, severity of stroke, and prehospital medications, odds ratio for mortality in patients with low education was 1.25 (95%CI 1.05-1.48), manual laboring 1.37 (1.09-1.72), and low income 1.19 (1.03-1.37). Further adjustment for acute care and medications in and after hospital made no substantial changes in these odds ratios, except a marginal significant odds ratio for low income (1.15, 0.99-1.33). The odds ratio for low income was 1.27 (1.01-1.60) within patients with high education. Compared with no socioeconomic deprivation, the odds ratio in patients with socioeconomic deprivation determined by any one indicator was 1.33 (1.11-1.59), by any two indicators 1.36 (1.10-1.69), and by all three indicators 1.56 (1.23-1.97). CONCLUSIONS: There are significant inequalities in survival after ischemic stroke in China in terms of social and material forms of deprivation. General socioeconomic improvement, targeting groups at high risk of mortality is likely to reduce inequality in survival after stroke.
BACKGROUND: Previous findings of the association between socioeconomic deprivation and mortality after ischemic stroke are inconsistent. There is a lack of data on the association with combined low education, occupational class, and income. We assessed the associations of three indicators with mortality. METHODS: We examined data from the China National Stroke Registry, recording all strokepatients occurred between September 2007 and August 2008. Baseline socioeconomic deprivation was measured using low levels of education at <6 years, occupation as manual laboring, and average family income per capita at ≤¥1000 per month. A total of 12,246 patients with ischemic stroke were analyzed. RESULTS: In a 12-month follow-up 1640 patients died. After adjustment for age, sex, cardiovascular risk factors, severity of stroke, and prehospital medications, odds ratio for mortality in patients with low education was 1.25 (95%CI 1.05-1.48), manual laboring 1.37 (1.09-1.72), and low income 1.19 (1.03-1.37). Further adjustment for acute care and medications in and after hospital made no substantial changes in these odds ratios, except a marginal significant odds ratio for low income (1.15, 0.99-1.33). The odds ratio for low income was 1.27 (1.01-1.60) within patients with high education. Compared with no socioeconomic deprivation, the odds ratio in patients with socioeconomic deprivation determined by any one indicator was 1.33 (1.11-1.59), by any two indicators 1.36 (1.10-1.69), and by all three indicators 1.56 (1.23-1.97). CONCLUSIONS: There are significant inequalities in survival after ischemic stroke in China in terms of social and material forms of deprivation. General socioeconomic improvement, targeting groups at high risk of mortality is likely to reduce inequality in survival after stroke.