M. Savina, E. V. Ponevezhskaya, Elisaveta A. Petrova, E. A. Koltsova
{"title":"Risk factors for early-onset and late-onset fatigue after a stroke","authors":"M. Savina, E. V. Ponevezhskaya, Elisaveta A. Petrova, E. A. Koltsova","doi":"10.17816/nb227933","DOIUrl":null,"url":null,"abstract":"BACKGROUND. Post-stroke fatigue is a predictor of adverse outcomes such as high mortality, worse functional outcome and daily living dependence. It is a heterogeneous syndrome that changes over time, as demonstrated by studies. \nAIM. The aim of the study was to assess dynamic changes of risk factors related to post-stroke fatigue during a year after first-ever stroke. \nMATERIALS AND METHODS. This study formed a section of a prospective observational study involving of a cohort of 348 patients experiencing their first-ever stroke (53.2% male, 46.8% of female, with a mean age of 66±12 years). During the acute stroke period, 75 patients completed the Fatigue Severity Scale (FSS). Additionally, 19 patients completed the FSS at both 3 and 6 months after their stroke, while 33 patients did so at 12 months post-stroke. The neurological (NIHSS, Rankin) and psychiatric (HDRS, HARS) evaluation scores, pain scores measured with visual analogue scales, cognitive test results (MMSE, TMT-B) taken at the same time point, and locus control testing were compared with these findings. Spearman coefficient was utilized. The relationship between fatigue and depression (DSM-IV), stroke location, and patients’ demographic characteristics were tested with a χ2-test to avoid partiality. \nRESULTS. Fatigue following a stroke during the acute stage showed an association with pain, depression, anxiety scores and complaints about cognitive dysfunction prior to the stroke. In contrast, late-onset fatigue (12 months post-stroke) demonstrated a link with medical locus of control and more severe neurological deficit. \nCONCLUSION. Post-stroke fatigue manifests as a heterogeneous syndrome, characterized by changes in risk factors over time. Due to its complexity, accurate assessment necessitates the use of modern technologies, such as EMA and digital phenotyping.","PeriodicalId":436189,"journal":{"name":"Neurology Bulletin","volume":" 19","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2024-01-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Neurology Bulletin","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.17816/nb227933","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
BACKGROUND. Post-stroke fatigue is a predictor of adverse outcomes such as high mortality, worse functional outcome and daily living dependence. It is a heterogeneous syndrome that changes over time, as demonstrated by studies.
AIM. The aim of the study was to assess dynamic changes of risk factors related to post-stroke fatigue during a year after first-ever stroke.
MATERIALS AND METHODS. This study formed a section of a prospective observational study involving of a cohort of 348 patients experiencing their first-ever stroke (53.2% male, 46.8% of female, with a mean age of 66±12 years). During the acute stroke period, 75 patients completed the Fatigue Severity Scale (FSS). Additionally, 19 patients completed the FSS at both 3 and 6 months after their stroke, while 33 patients did so at 12 months post-stroke. The neurological (NIHSS, Rankin) and psychiatric (HDRS, HARS) evaluation scores, pain scores measured with visual analogue scales, cognitive test results (MMSE, TMT-B) taken at the same time point, and locus control testing were compared with these findings. Spearman coefficient was utilized. The relationship between fatigue and depression (DSM-IV), stroke location, and patients’ demographic characteristics were tested with a χ2-test to avoid partiality.
RESULTS. Fatigue following a stroke during the acute stage showed an association with pain, depression, anxiety scores and complaints about cognitive dysfunction prior to the stroke. In contrast, late-onset fatigue (12 months post-stroke) demonstrated a link with medical locus of control and more severe neurological deficit.
CONCLUSION. Post-stroke fatigue manifests as a heterogeneous syndrome, characterized by changes in risk factors over time. Due to its complexity, accurate assessment necessitates the use of modern technologies, such as EMA and digital phenotyping.