Background: Inability to recognize stroke warning signs and delay in seeking medical attention for recognized symptoms contribute to treatment delay, thus limiting the potential for intervention and impacting negatively on potential stroke outcome.
Aim: To examine knowledge of stroke risk factors and warning signs in the adult population in Ireland.
Methods: In 2009, 1000 members of the general public were interviewed by telephone using quota-based population sampling of adults (≥18 years). Information was gathered using the Stroke Awareness Questionnaire (SAQ).
Results: 71% of participants could correctly list two or more risk factors for stroke, typically generic lifestyle risk factors. Two-thirds could not identify two warning signs for stroke. While 31% could identify two or more stroke warning signs, there was no consistency in warning signs identified. Less than 50% stated they would call an ambulance if having a stroke. Overall, there were significant gaps in knowledge, with poorest levels evident in those aged ≥65 years.
Conclusions: Survey findings provide first evidence on levels of knowledge of stroke risk factors and warning signs in the Irish adult population. Awareness of stroke warning signs was poor, as was awareness of the need to call emergency services and the potential for acute stroke intervention. These factors contribute to delay in seeking medical attention following stroke, with resulting implications for stroke outcome.
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http://dx.doi.org/10.1111/j.1747-4949.2011.00698.x | DOI Listing |
Eur Radiol
January 2025
Institute of PLA Geriatric Medicine, The Second Medical Center & National Clinical Research Center for Geriatric Diseases, Chinese PLA General Hospital, Beijing, China.
Objective: To establish morphological and radiomic models for early prediction of cognitive impairment associated with cerebrovascular disease (CI-CVD) in an elderly cohort based on cerebral magnetic resonance angiography (MRA).
Methods: One-hundred four patients with CI-CVD and 107 control subjects were retrospectively recruited from the 14-year elderly MRA cohort, and 63 subjects were enrolled for external validation. Automated quantitative analysis was applied to analyse the morphological features, including the stenosis score, length, relative length, twisted angle, and maximum deviation of cerebral arteries.
Alzheimers Dement
December 2024
Alzheimer's Disease Neuroimaging Initiative, http://adni.loni.usc.edu/, CA, USA.
Background: Several studies have shown that financial capacity constitutes a vital component of instrumental activities of daily living. However, there is insufficient research investigating the relationship between financial impairment, brain volume changes and cognitive decline in Alzheimer's disease (AD). Here, we examine the association between brain volume changes and financial capacity in cognitively unimpaired (CU) and mild cognitively impaired (MCI) individuals.
View Article and Find Full Text PDFAlzheimers Dement
December 2024
Alzheimer's Disease Neuroimaging Initiative, http://adni.loni.usc.edu/, CA, USA.
Background: Amyloid and tau pathologies are the hallmarks of Alzheimer's disease (AD). Previous research indicated notable connections between financial capacity and AD biomarkers. Here, we aimed to understand whether financial capacity is affected by the cerebral accumulation of tau and amyloid.
View Article and Find Full Text PDFZhonghua Wei Zhong Bing Ji Jiu Yi Xue
December 2024
Fourth Clinical Medical College of Zhejiang Chinese Medical University, Hangzhou 310006, Zhejiang, China.
In-hospital cardiac arrest (IHCA) is a critical medical issue threatening the survival and prognosis of hospitalized patients, characterized by high incidence, high mortality and poor prognosis. Early warning and intervention for IHCA are urgently needed. The early warning score (EWS) is developed as a point-of-care warning tool for early identification and intervention of hospitalized patients with deteriorating condition.
View Article and Find Full Text PDFZhonghua Wei Zhong Bing Ji Jiu Yi Xue
December 2024
Department of Critical Care Medicine, the Second Affiliated Hospital of Xingtai Medical College, Xingtai 054000, Hebei, China.
Objective: To construct a risk prediction model for elderly severe patients with pneumonia infection, and analyze the prevention effect of 1M3S nursing plan under early warning mode.
Methods: Firstly, 180 elderly severe patients admitted to the department of intensive care unit (ICU) of the Second Affiliated Hospital of Xingtai Medical College from September 2020 to September 2021 were enrolled. Their clinical data were collected and retrospectively analyzed, and they were divided into infected group and non-infected group according to whether they developed severe pneumonia.
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