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Fulltext High prevalence of diabetes in stroke patients and its association with lacunar infarction

Zhe, Kang Law, Wan Nur Nafisah, Saathevan, Ramesh, Jee, Yong Hing, Mohd Firdaus Zakaria, Nurul Munirah Mohd Shuhairi, et al.

Neurology Asia, 2015;20(2):121-127.
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Background & Objectives: The burden of stroke is increasing, in part due to increasing prevalence of diabetes mellitus. Given the high prevalence of diabetes in the Malaysian population (22.6%), we aimed to determine the prevalence of diabetes in our stroke population. We also aimed to study the stroke subtype associated with diabetes. We hypothesized that lacunar infarction would be more prevalent in diabetics. Methods: We retrospectively reviewed data of consecutive patients with acute ischaemic stroke admitted from October 2004 to December 2010 from our stroke registry. Demographic data, risk factors profile and stroke subtypes were reviewed and analyzed. Results: Eight hundred and fifty eight patients were identified from the registry. As high as 59.3% (n=509) of our patients were diabetics, of which 49.2% (n=422) had pre-existing diabetes and 10.1% (n=87) were newly diagnosed. Lacunar infarction was the commonest stroke subtype, comprising 60.6% (n=519) of all strokes. Diabetes was significantly associated with lacunar infarction (OR 1.5, CI 95% 1.16-2.01, p=0.003), particularly in those aged ≤ 55 years (OR 2.29, 95% CI 1.12-4.67) and HbA1C ≥ 6.5% (χ2=8.77, p=0.003). Conclusions: The prevalence of diabetes in our stroke patients is amongst the highest reported. Diabetes mellitus, particularly those with poor glycaemic control is strongly associated with lacunar infarction.
Seizure severity assessment tools for adult epilepsy patients: A systematic review

Rusli RA, Makmor Bakry M, Mohamed Shah N, Hui Jan T

Epilepsy Behav, 2023 Mar 29;142:109154.
PMID: 37001468 DOI: 10.1016/j.yebeh.2023.109154

INTRODUCTION: Seizure outcomes from antiseizure medication (ASM) therapy can be measured across various domains using assessment tools. The available tools may contain an array of different components or items. Seizure severity assessment, as opposed to seizure frequency count may have been a more accurate measurement in determining the effectiveness of ASM therapy. This study aimed to review studies developing seizure severity assessment tools for adults with epilepsy, describe the development methods and validation, and compare the list of items in these tools.
METHODS: The systematic search utilized established databases such as Scopus, Ovid, Web of Science, Medline, Wiley Online, and Cochrane Library. Studies published from inception to December 15, 2022, were selected. Publications describing the development of tools to measure seizure severity among adult epilepsy patients were included. Outcome measures including the tool's content, development methods, validity, and reliability assessments were compared.
RESULTS: The search produced eight publications describing the development of eight seizure severity assessment tools. One of these tools is part of a multidimensional assessment of the overall impact of epilepsy. The frequently used method in the initial development was the qualitative method (n = 6) where two publications reanalyzed the items from previous studies. Face validity was the most common validation test conducted (n = 4). At least one reliability assessment was conducted for each of the tools, most commonly by the test-retest method (n = 6) and inter-rater reliability (n = 5). All of these tools cover the components of pre-ictal (warning/aura), ictal, and postictal (recovery) events.
CONCLUSION: The identified tools described the assessment of seizure severity using various subscales. The emergence of new methods in quantifying seizure severity unfolds opportunities in discovering more comprehensive assessments of seizure severity in both clinical trials and daily clinical practice.

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