Literature DB >> 31782134

TOAST classification and risk factors of ischemic stroke in Lebanon.

Elia G Malek1, Martine Elbejjani2,3, Rawad Abbas4, Mary Abed Al Ahad2, Hussein Isma'eel3,5, Achraf Makki1,3.   

Abstract

OBJECTIVES: Ischemic stroke is a common cause of morbidity and mortality especially in the increasingly older population. The variability in ischemic stroke subtypes and its risk factors across different populations suggest that more effort is needed to describe the stroke characteristics in order to develop a more tailored management for each population. We aim to describe the demographic characteristics, risk factors, and subtype distribution of subjects with ischemic stroke in the Lebanese population.
MATERIALS AND METHODS: We conducted a cross-sectional study based on chart review on patients with ischemic stroke/transient ischemic attack at the American University of Beirut Medical center between 2015 and 2017.
RESULTS: A total of 284 cases were included with a mean age of 72 years, and 58% male gender. The most commonly identified risk factors were hypertension (77%), dyslipidemia (62%), and diabetes mellitus (42%), while atrial fibrillation was only found in 27% of cases. The cohort distribution according to TOAST classification was as follows: 15% large artery stroke, 31% cardioembolic stroke, 17% small artery stroke, 10% stroke of other determined causes, and 27% stroke of unknown cause.
CONCLUSION: This is the first study to address ischemic stroke characteristics in Lebanon.
© 2019 John Wiley & Sons A/S. Published by John Wiley & Sons Ltd.

Entities:  

Keywords:  TOAST classification; ischemic stroke; stroke in Lebanon; stroke risk; transient ischemic attack

Mesh:

Year:  2019        PMID: 31782134     DOI: 10.1111/ane.13201

Source DB:  PubMed          Journal:  Acta Neurol Scand        ISSN: 0001-6314            Impact factor:   3.209


  4 in total

1.  "Incidence, characteristics and prognosis of cervical artery dissection-induced ischemic stroke in central Iran".

Authors:  Mahta Ranjbar; Negin Badihian; Maryam Yazdi; Shahaboddin Milani; Marzieh Taheri; Fariborz Khorvash; Mohammad Saadatnia
Journal:  BMC Neurol       Date:  2022-06-21       Impact factor: 2.903

2.  Interpretable CNN for ischemic stroke subtype classification with active model adaptation.

Authors:  Shuo Zhang; Jing Wang; Lulu Pei; Kai Liu; Yuan Gao; Hui Fang; Rui Zhang; Lu Zhao; Shilei Sun; Jun Wu; Bo Song; Honghua Dai; Runzhi Li; Yuming Xu
Journal:  BMC Med Inform Decis Mak       Date:  2022-01-05       Impact factor: 2.796

3.  Analysis of the demographic characteristics and clinical profile of acute ischemic strokes admitted to the emergency centre in the Somalia population.

Authors:  Ebubekir Arslan; Osman Cetinkaya
Journal:  Afr J Emerg Med       Date:  2022-06-06

Review 4.  Ischemic stroke associated with COVID-19: a systematic review and meta-analysis.

Authors:  Wenzhang Luo; Xiang Liu; Kunyang Bao; Changren Huang
Journal:  J Neurol       Date:  2021-10-15       Impact factor: 6.682

  4 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.