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Orlandi, Giovanni; Gelli, Andrea; Fanucchi, Simona; Tognoni, Gloria; Acerbi, G.; Murri, Luigi

doi:10.1023/a:1025639203283

Cited by 27 publications

(8 citation statements)

References 23 publications

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“…Further studies on stroke in aging animal are needed to determine the effect of aging on stroke, including detailed assessment of both histological and behavioral phenotypes. In spite of these disagreements on the histological effects of aging on infarct volume, invariably significantly higher mortality rates and more severe neurological impairments were found in the older animals, which is consistent with clinical data [70, 71] and data from our own lab which showed both aging male and female mice have exacerbated neurological deficits compared to young animals independent of infarct volumes [72]. …”

Section: Effect Of Age On Ischemic Strokesupporting

confidence: 84%

“…Neurologists also see constant reminders of the fact that older patients do not do as well after a stroke compared to younger counterparts indicating that stroke in older patients has different characteristics than that seen in the young. A clinical investigation revealed that in the old, stroke outcome data such as 30-day case fatality rate and disability are far poorer than for young patients, and hospital management is often less active in this age group [70]. The increased mortality seen in older individuals may not be related to the stroke per se, but rather an effect of aging and advanced co-morbid diseases.…”

Section: Effect Of Age On Ischemic Strokementioning

confidence: 99%

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Interactions between age, sex, and hormones in experimental ischemic stroke

Liu

McCullough

2012

Neurochemistry International

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Age, sex, and gonadal hormones have profound effects on ischemic stroke outcomes, although how these factors impact basic stroke pathophysiology remains unclear. There is a plethora of inconsistent data reported throughout the literature, primarily due to differences in the species examined, the timing and methods used to evaluate injury, the models used, and confusion regarding differences in stroke incidence as seen in clinical populations versus effects on acute neuroprotection or neurorepair in experimental stroke models. Sex and gonadal hormone exposure have considerable independent impact on stroke outcome, but these factors also interact with each other, and the contribution of each differs throughout the lifespan. The contribution of sex and hormones to experimental stroke will be the focus of this review. Recent advances and our current understanding of age, sex, and hormone interactions in ischemic stroke with a focus on inflammation will be discussed.

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Section: Effect Of Age On Ischemic Strokesupporting

confidence: 84%

Section: Effect Of Age On Ischemic Strokementioning

confidence: 99%

Interactions between age, sex, and hormones in experimental ischemic stroke

Liu

McCullough

2012

Neurochemistry International

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“…Notably, these studies were not based on a population-based survey of middle-aged and older Chinese adults. The prevalence of stroke ranges from 0.55% to 6.40% in Saudi Arabia 11 , Singapore 12 , the United States (US) 1 , India 13 , Thailand 14 , Korea 15 , Spain 16 , and Italy 17 . The differences might be at least partly attributable to the participants’ characteristics, including their age, gender, socio-economic status, geographic regions, and sample size.…”

Section: Discussionmentioning

confidence: 99%

Prevalence and risk factors associated with stroke in middle-aged and older Chinese: A community-based cross-sectional study

Gan

Zhang

et al. 2017

Sci Rep

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Although the prevalence of stroke and its risk factors has been widely reported in some Western countries, information on essential stroke parameters is lacking in China, the most populous nation. A community-based cross-sectional study with 8,018 Chinese adults aged ≥40 years was used to determine the prevalence of stroke and associated risk factors. Within the screened population, the prevalence of stroke was 2.21% for both sexes, 1.60% for females, and 3.18% for males. Prevalence increased with age in both sexes (P < 0.0001). In a multivariable model, factors significantly associated with stroke were increasing age (odds ratio [OR] = 1.87, 95% CI: 1.58–2.24), male gender (OR = 2.03, 95% CI: 1.42–2.90), family history of stroke (OR = 4.33, 95% CI: 2.89–6.49), history of hyperlipidemia (OR = 1.87, 95% CI 1.31–2.68), history of hypertension (OR = 1.47, 95% CI 1.02–2.12), and physical inactivity (OR = 1.74, 95% CI: 1.16–2.59). The findings indicate that stroke prevalence in middle-aged and older Chinese adults is higher in males than in females, and increases with age in both sexes. Population-based public health intervention programs and policies targeting hyperlipidemia and hypertension control and encouragement of physical activity should be highly prioritized for middle-aged and older adults in Shenzhen, China.

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“…Some have utilized a single question regarding history of stroke or diagnosis by a physician to screen for the presence of stroke[18, 19]. Others have tested a combination of questions related to stroke symptoms [6, 10, 20]. A combination of these two has been shown to be the better approach[21] avoiding underestimation of strokes in the community when used for prevalence determination.…”

Section: Discussionmentioning

confidence: 99%

“…While most have used assessments by neurologists, some have also relied on medical records for event verification [6, 19, 20]. The studies that have relied on physician assessments however, are not true validations as evaluations of individuals who test negative on the tool were not done.…”

Section: Discussionmentioning

confidence: 99%

Can Trained Field Community Workers Identify Stroke Using a Stroke Symptom Questionnaire as well as Neurologists?

Khan

Kamal

Islam

et al. 2015

Journal of Stroke and Cerebrovascular Diseases

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Background Stroke is a leading cause of morbidity and mortality worldwide. There is a paucity of data from South Asia where stroke is highly prevalent. Validated tools administrable by Community Health Workers (CHWs) are required to identify stroke in the community in a resource strapped region such as this. Methods The study was conducted in a transitional slum in Karachi, Pakistan. Questionnaire for Verifying Stroke-Free Status (QVSFS) was adapted and translated into Urdu. Two CHWs, trained by a neurologist, selected 322 community dwelling subjects using purposive sampling. Each CHW collected data independently which was validated by a vascular neurologist who directly examined each participant. To assess the effect of audit and feedback, data from the final 10% of the subjects was collected following a second training session for the CHWs. Sensitivity, specificity and Cohen’s kappa was determined for the CHW administered questionnaire against neurovascular assessment. Results Mean age of participants was 56.5 years with 71% of participants being women. The sensitivity and specificity of the questionnaire of detecting stroke was 77.1% (CI: 64.1%–86.9%) and 85.8% (CI: 83.5%–87.5%). The chance corrected agreement using the Cohen’s Kappa statistic was 0.51 (CI: 0.38–0.60). Kappa ranged from 0.37 to 0.58 for each of the seven stroke symptoms. Hemianesthesia (72.9%) and hemiplegia (64.6%) were the most sensitive symptoms. The performance and agreement improved from moderate to substantial after audit and feedback. Conclusion We found a reasonable sensitivity and specificity and moderate agreement between CHW administered QVSFS and assessment by a vascular neurologist. Study Registration Number NCT02073955

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Abstract: An actual estimate of the high prevalence of cerebrovascular disease in the elderly population, even in very old subjects, was thus achieved. Appropriate health care services consequently need to be planned.

Cited by 27 publications

References 23 publications

Interactions between age, sex, and hormones in experimental ischemic stroke

Interactions between age, sex, and hormones in experimental ischemic stroke

Prevalence and risk factors associated with stroke in middle-aged and older Chinese: A community-based cross-sectional study

Can Trained Field Community Workers Identify Stroke Using a Stroke Symptom Questionnaire as well as Neurologists?

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