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. 2022 Aug 5;8(7):FSO809.
doi: 10.2144/fsoa-2022-0017. eCollection 2022 Aug.

Ischemic stroke demographics, clinical features and scales and their correlations: an exploratory study from Jordan

Khaled Z Alawneh  1 , Majdi Al Qawasmeh  2 , Liqaa A Raffee  3 , Abdel-Hameed Al-Mistarehi  4
Affiliations

Ischemic stroke demographics, clinical features and scales and their correlations: an exploratory study from Jordan

Khaled Z Alawneh et al. Future Sci OA. .

Abstract

Aims: The authors aimed to assess the ischemic stroke risk factors and scales.

Materials & methods: A retrospective cohort study was conducted on patients with acute ischemic stroke (from January 2017 to December 2018). The scores of the National Institutes of Health Stroke Scale (NIHSS) at admission and discharge and of the modified Rankin Scale (mRS) and Barthel Index (BI) scale post-month of the stroke were collected.

Results: Out of 376 patients, 359 were included, with a mean (standard deviation) age of 67.8 (12.2) years and male predominance (56.2%). Hyperlipidemia and hypertension were the most prevalent comorbidities (91.1% and 80.5%, respectively). The NIHSS, BI and mRS scores were worse among women, with no significant effects for comorbidities. The NIHSS scores at admission and discharge were significantly correlated with the post-month BI and mRS scores.

Conclusion: The study findings suggest a complex interplay of gender, strict control and prevention of the modifiable stroke risk factors, as well as the association of neurological deficits' intensity with the functional outcomes.

Keywords: BI; Barthel Index; NIHSS; gender; hyperlipidemia; hypertension; ischemic stroke; mRS; modified Rankin Scale; risk factors; stroke.

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Figures

Figure 1.
Figure 1.. Flowchart of the subjects' enrollment in the study.
See this image and copyright information in PMC

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References

    1. Warlow CP. Epidemiology of stroke. Lancet (London, UK) 352(Suppl. 3), Siii–S4 (1998). - PubMed
    1. Feigin VL, Nichols E, Alam T et al. Global, regional, and national burden of neurological disorders, 1990–2016: a systematic analysis for the Global Burden of Disease Study 2016. Lancet Neurol. 18(5), 459–480 (2019). - PMC - PubMed
    1. Owolabi MO, Sarfo F, Akinyemi R et al. Dominant modifiable risk factors for stroke in Ghana and Nigeria (SIREN): a case–control study. Lancet Glob. Health. 6(4), e436–e446 (2018). - PMC - PubMed
    1. Cui Q, Naikoo NA. Modifiable and non-modifiable risk factors in ischemic stroke: a meta-analysis. Afr. Health Sci. 19(2), 2121–2129 (2019). - PMC - PubMed
    1. Gan Y, Wu J, Zhang S et al. Prevalence and risk factors associated with stroke in middle-aged and older Chinese: a community-based cross-sectional study. Sci Rep. 7(1), 9501 (2017). - PMC - PubMed

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