{"title":"Excessive Daytime Sleepiness, Inflammation, and Platelet Energy Metabolism in Chronic Stroke Survivors: A Pilot Study.","authors":"Christine R Hoch, N Jennifer Klinedinst","doi":"10.1097/NNR.0000000000000773","DOIUrl":null,"url":null,"abstract":"<p><strong>Background: </strong>Excessive daytime sleepiness is a prevalent and sustained symptom that contributes to untoward physiological and psychological outcomes among stroke survivors. Mechanisms of excessive daytime sleepiness poststroke are not fully understood. Chronic systemic inflammation may contribute to impaired mitochondrial functioning and thereby reduce cellular energy metabolism, which may contribute to symptoms of excessive daytime sleepiness in stroke survivors.</p><p><strong>Objectives: </strong>This pilot study aimed to assess the relationship between systemic inflammation and cellular energy metabolism to poststroke excessive daytime sleepiness.</p><p><strong>Methods: </strong>This descriptive pilot study explored the relationship between excessive daytime sleepiness, systemic inflammation, and aerobic energy metabolism of platelets in 22 chronic stroke survivors. The Epworth Sleepiness Scale was used to measure excessive daytime sleepiness. Systemic inflammation was measured by assessing pro-inflammatory cytokines interleukin-6, interleukin-1β, and tumor necrosis factor-alpha and the inflammatory marker C-reactive protein. Aerobic energy metabolism was measured by assessing oxygen consumption rates of platelets. Simple linear regression was used to test the influence of oxygen consumption rates and inflammation on excessive daytime sleepiness. Correlations were analyzed using Spearman rho correlation coefficients.</p><p><strong>Results: </strong>Excessive daytime sleepiness was recognized in 27.3% of the sample. Systemic inflammation was associated with excessive daytime sleepiness in women but not men. We found no significant relationship between excessive daytime sleepiness and energy metabolism of platelets. However, all oxygen consumption rates were numerically higher in persons with excessive daytime sleepiness.</p><p><strong>Discussion: </strong>Systemic inflammation may be related to excessive daytime sleepiness symptoms with a notable effect among women. Future larger studies are needed to further explore the sexually dimorphic relationship of poststroke excessive daytime sleepiness to systemic inflammation. Numerically higher platelet oxygen consumption rates may indicate higher energy demands for stroke survivors with excessive daytime sleepiness.</p>","PeriodicalId":49723,"journal":{"name":"Nursing Research","volume":" ","pages":"79-84"},"PeriodicalIF":2.2000,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Nursing Research","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1097/NNR.0000000000000773","RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2024/8/16 0:00:00","PubModel":"Epub","JCR":"Q1","JCRName":"NURSING","Score":null,"Total":0}
引用次数: 0
Abstract
Background: Excessive daytime sleepiness is a prevalent and sustained symptom that contributes to untoward physiological and psychological outcomes among stroke survivors. Mechanisms of excessive daytime sleepiness poststroke are not fully understood. Chronic systemic inflammation may contribute to impaired mitochondrial functioning and thereby reduce cellular energy metabolism, which may contribute to symptoms of excessive daytime sleepiness in stroke survivors.
Objectives: This pilot study aimed to assess the relationship between systemic inflammation and cellular energy metabolism to poststroke excessive daytime sleepiness.
Methods: This descriptive pilot study explored the relationship between excessive daytime sleepiness, systemic inflammation, and aerobic energy metabolism of platelets in 22 chronic stroke survivors. The Epworth Sleepiness Scale was used to measure excessive daytime sleepiness. Systemic inflammation was measured by assessing pro-inflammatory cytokines interleukin-6, interleukin-1β, and tumor necrosis factor-alpha and the inflammatory marker C-reactive protein. Aerobic energy metabolism was measured by assessing oxygen consumption rates of platelets. Simple linear regression was used to test the influence of oxygen consumption rates and inflammation on excessive daytime sleepiness. Correlations were analyzed using Spearman rho correlation coefficients.
Results: Excessive daytime sleepiness was recognized in 27.3% of the sample. Systemic inflammation was associated with excessive daytime sleepiness in women but not men. We found no significant relationship between excessive daytime sleepiness and energy metabolism of platelets. However, all oxygen consumption rates were numerically higher in persons with excessive daytime sleepiness.
Discussion: Systemic inflammation may be related to excessive daytime sleepiness symptoms with a notable effect among women. Future larger studies are needed to further explore the sexually dimorphic relationship of poststroke excessive daytime sleepiness to systemic inflammation. Numerically higher platelet oxygen consumption rates may indicate higher energy demands for stroke survivors with excessive daytime sleepiness.
期刊介绍:
Nursing Research is a peer-reviewed journal celebrating over 60 years as the most sought-after nursing resource; it offers more depth, more detail, and more of what today''s nurses demand. Nursing Research covers key issues, including health promotion, human responses to illness, acute care nursing research, symptom management, cost-effectiveness, vulnerable populations, health services, and community-based nursing studies. Each issue highlights the latest research techniques, quantitative and qualitative studies, and new state-of-the-art methodological strategies, including information not yet found in textbooks. Expert commentaries and briefs are also included. In addition to 6 issues per year, Nursing Research from time to time publishes supplemental content not found anywhere else.