Socioeconomic gap between neighborhoods of Budapest: Striking impact on stroke and possible explanations

Neurologic Complications of Poverty: the Associations Between Poverty as a Social Determinant of Health and Adverse Neurologic Outcomes

PURPOSE OF REVIEW

Increasing attention has been paid in recent decades to social determinants of health as a risk factor for disease development and disease severity. While traditionally heart disease, family history, lipid profile, and tobacco use have all been associated with increased risk of neurological disease, numerous studies now show that the influence of poverty may be just as strong a risk factor. This study summarizes the recent literature on poverty as it contributes to neurological disease.

RECENT FINDINGS

Children growing up in poverty have increased risk for cognitive deficits and behavioral disorders as reported by Noble et al. (Dev Sci. 9(6):642-54, 2006) and Farah et al. (Brain Res. 1110(1):166-74, 2006) as well as worse outcomes when it comes to epilepsy management and disease course as discussed by Camfield et al. (Epilepsia. 57(11):1826-33, 2016). In adulthood, as the number of social determinants of health increases, the incidence of stroke and severe stroke increases significantly as reported by Reshetnyak et al. (Stroke. 51:2445-53, 2020) as does exposure to neurologically significant infectious diseases and incidence of dementia as reported by Sumilo et al. (Rev Med Virol. 18(2):81-95, 2008) and Zuelsdorff et al. (Alzheimer's Dement. 6(1):e12039, 2020). Social determinants of health including poverty should be considered a risk factor for disease. More attention is needed from clinicians as well as from a public health perspective to address this disparity.

Health related quality of life and satisfaction with care of stroke patients in Budapest: A substudy of the EuroHOPE project

BACKGROUND

Disadvantaged socioeconomic status is associated with higher stroke incidence and mortality, and higher readmission rate. We aimed to assess the effect of socioeconomic factors on case fatality, health related quality of life (HRQoL), and satisfaction with care of stroke survivors in the framework of the European Health Care Outcomes, Performance and Efficiency (EuroHOPE) study in Hungary, one of the leading countries regarding stroke mortality.

METHODS

We evaluated 200 consecutive patients admitted for first-ever ischemic stroke in a single center and performed a follow-up at 3 months after stroke. We recorded pre- and post-stroke socioeconomic factors, and assessed case fatality, HRQoL and patient satisfaction with the care received. Stroke severity at onset was scored by the National Institutes of Health Stroke scale (NIHSS), disability at discharge from acute care was evaluated by the modified Rankin Score (mRS). To evaluate HRQoL and patient satisfaction with care we used the EQ-5D-5L, 15D and EORTC IN PATSAT 32 questionnaires.

RESULTS

At 3 months after stroke the odds of death was significantly increased by stroke severity (NIHSS, OR = 1.209, 95%CI: 1.125-1.299, p<0.001) and age (OR = 1.045, 95%CI: 1.003-1.089, p = 0.038). In a multiple linear regression model, independent predictors of HRQoL were age, disability at discharge, satisfaction with care, type of social dwelling after stroke, length of acute hospital stay and rehospitalization. Satisfaction with care was influenced negatively by stroke severity (Coef. = -1.111, 95%C.I.: -2.159- -0.062, p = 0.040), and positively by having had thrombolysis (Coef. = 25.635, 95%C.I.: 5.212-46.058, p = 0.016) and better HRQoL (Coef. = 22.858, 95%C.I.: 6.007-39.708, p = 0.009).

CONCLUSION

In addition to age, disability, and satisfaction with care, length of hospital stay and type of social dwelling after stroke also predicted HRQoL. Long-term outcome after stroke could be improved by reducing time spent in hospital, i.e. by developing home care rehabilitation facilities thus reducing the need for readmission to inpatient care.

Socioeconomic Factors Predicting Depression Differ in the Acute Stage and at 1 year After Ischemic Stroke or TIA

INTRODUCTION

Considerable depressive symptoms follow stroke in about one third of patients. Initial depressive symptoms may wane after the acute phase of stroke, but persisting depressive symptoms adversely affect rehabilitation and quality of life. We set forth to evaluate predictors of depressive symptoms with a focus on socioeconomic factors.

METHODS

We evaluated clinical features and socioeconomic characteristics in 233 consecutive patients with acute ischemic stroke or TIA. Depressive symptoms could be evaluated in 168 subjects in the acute phase with a repeated testing after a mean of 14.7 months via telephone interview in 116 patients. Survival status, scores on the Center for Epidemiologic Studies-Depression Scale (CES-D), Beck Depression Inventory (BDI) and disability (modified Rankin scale, mRS) were recorded.

RESULTS

In the acute phase, employment status (p = 0.037) and level of education (p = 0.048) whereas one year later dependency (mRS≥3, p = 0.002) and income (p = 0.012) were the significant predictors of the severity of depressive symptoms. A change from independent (mRS≤2) to dependent living predicted worsening depressive symptoms (p = 0.008), whereas improving to functional independence from an initially dependent condition was associated with diminishing depressive symptoms (p = 0.077 for CES-D and p = 0.044 for BDI) in the first year after an acute ischemic cerebrovascular event.

CONCLUSIONS

Predictors of the severity of depressive symptoms differed in the acute phase and at follow-up. In addition to disability, education and employment status in the acute phase and income in the late phase predict the severity of depressive symptoms after ischemic stroke or TIA.