Association between premorbid sarcopenia and neurological deterioration in patients with acute ischemic stroke
Sarcopenia is associated with poor outcomes in patients with stroke. This study aimed to investigate the association between premorbid sarcopenia and neurological deterioration (ND) in patients with acute ischemic stroke. To the best of our knowledge, there have been no studies on this topic. In thi...
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Veröffentlicht in: | Clinical neurology and neurosurgery 2023-01, Vol.224, p.107527-107527, Article 107527 |
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Zusammenfassung: | Sarcopenia is associated with poor outcomes in patients with stroke. This study aimed to investigate the association between premorbid sarcopenia and neurological deterioration (ND) in patients with acute ischemic stroke. To the best of our knowledge, there have been no studies on this topic.
In this prospective longitudinal study, we assessed premorbid sarcopenia using the SARC-F questionnaire, and the incidence of ND was defined by an increase of ≥ 1 point on the National Institutes of Health Stroke Scale (NIHSS) or the occurrence of any new neurological symptoms/signs. Logistic regression analysis was used to investigate the relationship between premorbid sarcopenia and ND.
Of the 290 patients enrolled, 46 and 244 patients experienced and did not experience ND 1 week after admission (ND and non-ND groups, respectively). The prevalence of sarcopenia was significantly higher in the ND group than in the non-ND group (39% vs. 17%). In the adjusted model, premorbid sarcopenia was significantly associated with ND (adjusted odds ratio: 3.06, 95% confidence interval: 1.11–8.40; p = 0.03).
Premorbid sarcopenia is independently associated with ND in patients with acute ischemic stroke. Therefore, it is necessary to detect premorbid sarcopenia to predict ND in these patients.
•Association between premorbid sarcopenia and neurological deterioration was studied.•There was an independent association between premorbid sarcopenia and ND.•It may be necessary to identify the premorbid sarcopenia to predict ND in patients. |
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ISSN: | 0303-8467 1872-6968 |
DOI: | 10.1016/j.clineuro.2022.107527 |