Marius Butz , Tibo Gerriets , Gebhard Sammer , Jasmin El-Shazly , Tobias Braun , Laura Sünner , Rolf Meyer , Marlene Tschernatsch , Patrick Schramm , Stefan T. Gerner , Thorsten R. Doeppner , Thomas Mengden , Yeong-Hoon Choi , Markus Schoenburg , Martin Juenemann
{"title":"白质病变和亚临床脑缺血对心脏瓣膜术后认知训练结果的影响:一项随机临床试验","authors":"Marius Butz , Tibo Gerriets , Gebhard Sammer , Jasmin El-Shazly , Tobias Braun , Laura Sünner , Rolf Meyer , Marlene Tschernatsch , Patrick Schramm , Stefan T. Gerner , Thorsten R. Doeppner , Thomas Mengden , Yeong-Hoon Choi , Markus Schoenburg , Martin Juenemann","doi":"10.1016/j.jns.2024.123370","DOIUrl":null,"url":null,"abstract":"<div><h3>Background</h3><div>White matter lesions and subclinical cerebral ischemia (SCI) are described as risk factors for postoperative cognitive decline (POCD) following cardiac surgery. This report aims to investigate the effect of brain lesions on postoperative cognitive training outcomes.</div></div><div><h3>Methods</h3><div>In a randomized, treatment-as-usual controlled trial, elderly patients scheduled for elective heart valve surgery participated. The postoperative cognitive training comprised paper-and-pencil exercises. Neuropsychological parameters were assessed preoperatively, at discharge from rehabilitation (immediately post-training), and at the 3-month follow-up. In addition, depression and anxiety (HADS) as well as health-related quality of life (SF-36) were evaluated. Brain lesions were identified using magnetic resonance imaging (training group: <em>n</em> = 18; control group: <em>n</em> = 21). Specifically, periventricular white matter lesions (PVWML) and deep white matter lesions (DWML) were assessed using T2-weighted/FLAIR sequences and categorized according to Fazekas scale. Volumetric analysis of SCI was conducted using diffusion-weighted imaging. To statistically control the impact of brain lesions on training outcomes, we employed analysis of covariance.</div></div><div><h3>Results</h3><div>Three-month follow-up results: When controlling for the independence of SCI on training outcomes, effects were evident for global cognition (<em>p</em> = 0.022) and SF-36 mental component summary (<em>p</em> = 0.003). Considering the impact of PVWML on training outcomes, trained participants showed better values in depression (<em>p</em> = 0.046) and SF-36 mental component summary (<em>p</em> = 0.013). In a subgroup analysis for patients with PVWML the training group demonstrated superior performance for language (<em>p</em> = 0.037). After adjusting for DWML, training effects were noticeable in the SF-36 mental component summary (<em>p</em> = 0.013).</div></div><div><h3>Conclusion</h3><div>Patients with brain lesions may benefit from cognitive training after cardiac surgery.</div></div>","PeriodicalId":17417,"journal":{"name":"Journal of the Neurological Sciences","volume":"469 ","pages":"Article 123370"},"PeriodicalIF":3.2000,"publicationDate":"2024-12-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"The impact of white matter lesions and subclinical cerebral ischemia on postoperative cognitive training outcomes after heart valve surgery: A randomized clinical trial\",\"authors\":\"Marius Butz , Tibo Gerriets , Gebhard Sammer , Jasmin El-Shazly , Tobias Braun , Laura Sünner , Rolf Meyer , Marlene Tschernatsch , Patrick Schramm , Stefan T. Gerner , Thorsten R. Doeppner , Thomas Mengden , Yeong-Hoon Choi , Markus Schoenburg , Martin Juenemann\",\"doi\":\"10.1016/j.jns.2024.123370\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><h3>Background</h3><div>White matter lesions and subclinical cerebral ischemia (SCI) are described as risk factors for postoperative cognitive decline (POCD) following cardiac surgery. This report aims to investigate the effect of brain lesions on postoperative cognitive training outcomes.</div></div><div><h3>Methods</h3><div>In a randomized, treatment-as-usual controlled trial, elderly patients scheduled for elective heart valve surgery participated. The postoperative cognitive training comprised paper-and-pencil exercises. Neuropsychological parameters were assessed preoperatively, at discharge from rehabilitation (immediately post-training), and at the 3-month follow-up. In addition, depression and anxiety (HADS) as well as health-related quality of life (SF-36) were evaluated. Brain lesions were identified using magnetic resonance imaging (training group: <em>n</em> = 18; control group: <em>n</em> = 21). Specifically, periventricular white matter lesions (PVWML) and deep white matter lesions (DWML) were assessed using T2-weighted/FLAIR sequences and categorized according to Fazekas scale. Volumetric analysis of SCI was conducted using diffusion-weighted imaging. To statistically control the impact of brain lesions on training outcomes, we employed analysis of covariance.</div></div><div><h3>Results</h3><div>Three-month follow-up results: When controlling for the independence of SCI on training outcomes, effects were evident for global cognition (<em>p</em> = 0.022) and SF-36 mental component summary (<em>p</em> = 0.003). Considering the impact of PVWML on training outcomes, trained participants showed better values in depression (<em>p</em> = 0.046) and SF-36 mental component summary (<em>p</em> = 0.013). In a subgroup analysis for patients with PVWML the training group demonstrated superior performance for language (<em>p</em> = 0.037). After adjusting for DWML, training effects were noticeable in the SF-36 mental component summary (<em>p</em> = 0.013).</div></div><div><h3>Conclusion</h3><div>Patients with brain lesions may benefit from cognitive training after cardiac surgery.</div></div>\",\"PeriodicalId\":17417,\"journal\":{\"name\":\"Journal of the Neurological Sciences\",\"volume\":\"469 \",\"pages\":\"Article 123370\"},\"PeriodicalIF\":3.2000,\"publicationDate\":\"2024-12-26\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Journal of the Neurological Sciences\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S0022510X24005069\",\"RegionNum\":3,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"CLINICAL NEUROLOGY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of the Neurological Sciences","FirstCategoryId":"3","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0022510X24005069","RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"CLINICAL NEUROLOGY","Score":null,"Total":0}
The impact of white matter lesions and subclinical cerebral ischemia on postoperative cognitive training outcomes after heart valve surgery: A randomized clinical trial
Background
White matter lesions and subclinical cerebral ischemia (SCI) are described as risk factors for postoperative cognitive decline (POCD) following cardiac surgery. This report aims to investigate the effect of brain lesions on postoperative cognitive training outcomes.
Methods
In a randomized, treatment-as-usual controlled trial, elderly patients scheduled for elective heart valve surgery participated. The postoperative cognitive training comprised paper-and-pencil exercises. Neuropsychological parameters were assessed preoperatively, at discharge from rehabilitation (immediately post-training), and at the 3-month follow-up. In addition, depression and anxiety (HADS) as well as health-related quality of life (SF-36) were evaluated. Brain lesions were identified using magnetic resonance imaging (training group: n = 18; control group: n = 21). Specifically, periventricular white matter lesions (PVWML) and deep white matter lesions (DWML) were assessed using T2-weighted/FLAIR sequences and categorized according to Fazekas scale. Volumetric analysis of SCI was conducted using diffusion-weighted imaging. To statistically control the impact of brain lesions on training outcomes, we employed analysis of covariance.
Results
Three-month follow-up results: When controlling for the independence of SCI on training outcomes, effects were evident for global cognition (p = 0.022) and SF-36 mental component summary (p = 0.003). Considering the impact of PVWML on training outcomes, trained participants showed better values in depression (p = 0.046) and SF-36 mental component summary (p = 0.013). In a subgroup analysis for patients with PVWML the training group demonstrated superior performance for language (p = 0.037). After adjusting for DWML, training effects were noticeable in the SF-36 mental component summary (p = 0.013).
Conclusion
Patients with brain lesions may benefit from cognitive training after cardiac surgery.
期刊介绍:
The Journal of the Neurological Sciences provides a medium for the prompt publication of original articles in neurology and neuroscience from around the world. JNS places special emphasis on articles that: 1) provide guidance to clinicians around the world (Best Practices, Global Neurology); 2) report cutting-edge science related to neurology (Basic and Translational Sciences); 3) educate readers about relevant and practical clinical outcomes in neurology (Outcomes Research); and 4) summarize or editorialize the current state of the literature (Reviews, Commentaries, and Editorials).
JNS accepts most types of manuscripts for consideration including original research papers, short communications, reviews, book reviews, letters to the Editor, opinions and editorials. Topics considered will be from neurology-related fields that are of interest to practicing physicians around the world. Examples include neuromuscular diseases, demyelination, atrophies, dementia, neoplasms, infections, epilepsies, disturbances of consciousness, stroke and cerebral circulation, growth and development, plasticity and intermediary metabolism.