James Luccarelli, Joshua R Smith, Niels Turley, Jonathan P Rogers, Haoqi Sun, Samuel I Kohrman, Gregory Fricchione, M Brandon Westover
{"title":"紧张症伴或不伴谵妄的电图特征。","authors":"James Luccarelli, Joshua R Smith, Niels Turley, Jonathan P Rogers, Haoqi Sun, Samuel I Kohrman, Gregory Fricchione, M Brandon Westover","doi":"10.1176/appi.neuropsych.20240215","DOIUrl":null,"url":null,"abstract":"<p><strong>Objective: </strong>Catatonia is an underdiagnosed disorder characterized by speech and motor abnormalities. EEG examinations may improve the accuracy of a catatonia diagnosis, but clinical and electrographic correlations have not been established. The authors describe catatonic features and EEG findings in a large multisite retrospective cohort.</p><p><strong>Methods: </strong>The clinical records in two health care systems were searched for patients with an EEG recording and a catatonia assessment with the Bush-Francis Catatonia Rating Scale conducted within 24 hours of each other. Included patients were retrospectively screened for delirium through a chart-based assessment. Augmented inverse propensity weighting (AIPW) was used to estimate the causal effects of delirium and catatonia on the presence of an abnormal EEG finding.</p><p><strong>Results: </strong>Overall, 178 patients met inclusion criteria, 144 (81%) of whom had catatonia. Among the patients with catatonia, 43% also had delirium. EEG abnormalities were present among 43% of patients with catatonia, including 28% of patients with catatonia without delirium and 69% of the patients with co-occurring catatonia and delirium. Individual catatonic signs and EEG abnormalities showed only a weak correlation. In AIPW models, a delirium diagnosis was associated with significantly higher odds for an abnormal EEG finding (OR=6.75; 95% CI=2.83-16.14), whereas a diagnosis of catatonia was not (OR=1.83, 95% CI=0.79-4.24).</p><p><strong>Conclusions: </strong>EEG abnormalities are common among individuals with catatonia, but these are difficult to disentangle from abnormalities resulting from co-occurring delirium. Further research is needed to define the role of EEG examinations in the assessments of catatonia and delirium.</p>","PeriodicalId":16559,"journal":{"name":"Journal of Neuropsychiatry and Clinical Neurosciences","volume":" ","pages":"appineuropsych20240215"},"PeriodicalIF":2.9000,"publicationDate":"2025-06-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Electrographic Features of Catatonia With or Without Comorbid Delirium.\",\"authors\":\"James Luccarelli, Joshua R Smith, Niels Turley, Jonathan P Rogers, Haoqi Sun, Samuel I Kohrman, Gregory Fricchione, M Brandon Westover\",\"doi\":\"10.1176/appi.neuropsych.20240215\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><strong>Objective: </strong>Catatonia is an underdiagnosed disorder characterized by speech and motor abnormalities. EEG examinations may improve the accuracy of a catatonia diagnosis, but clinical and electrographic correlations have not been established. The authors describe catatonic features and EEG findings in a large multisite retrospective cohort.</p><p><strong>Methods: </strong>The clinical records in two health care systems were searched for patients with an EEG recording and a catatonia assessment with the Bush-Francis Catatonia Rating Scale conducted within 24 hours of each other. Included patients were retrospectively screened for delirium through a chart-based assessment. Augmented inverse propensity weighting (AIPW) was used to estimate the causal effects of delirium and catatonia on the presence of an abnormal EEG finding.</p><p><strong>Results: </strong>Overall, 178 patients met inclusion criteria, 144 (81%) of whom had catatonia. Among the patients with catatonia, 43% also had delirium. EEG abnormalities were present among 43% of patients with catatonia, including 28% of patients with catatonia without delirium and 69% of the patients with co-occurring catatonia and delirium. Individual catatonic signs and EEG abnormalities showed only a weak correlation. In AIPW models, a delirium diagnosis was associated with significantly higher odds for an abnormal EEG finding (OR=6.75; 95% CI=2.83-16.14), whereas a diagnosis of catatonia was not (OR=1.83, 95% CI=0.79-4.24).</p><p><strong>Conclusions: </strong>EEG abnormalities are common among individuals with catatonia, but these are difficult to disentangle from abnormalities resulting from co-occurring delirium. Further research is needed to define the role of EEG examinations in the assessments of catatonia and delirium.</p>\",\"PeriodicalId\":16559,\"journal\":{\"name\":\"Journal of Neuropsychiatry and Clinical Neurosciences\",\"volume\":\" \",\"pages\":\"appineuropsych20240215\"},\"PeriodicalIF\":2.9000,\"publicationDate\":\"2025-06-13\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Journal of Neuropsychiatry and Clinical Neurosciences\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://doi.org/10.1176/appi.neuropsych.20240215\",\"RegionNum\":4,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"CLINICAL NEUROLOGY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Neuropsychiatry and Clinical Neurosciences","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1176/appi.neuropsych.20240215","RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"CLINICAL NEUROLOGY","Score":null,"Total":0}
Electrographic Features of Catatonia With or Without Comorbid Delirium.
Objective: Catatonia is an underdiagnosed disorder characterized by speech and motor abnormalities. EEG examinations may improve the accuracy of a catatonia diagnosis, but clinical and electrographic correlations have not been established. The authors describe catatonic features and EEG findings in a large multisite retrospective cohort.
Methods: The clinical records in two health care systems were searched for patients with an EEG recording and a catatonia assessment with the Bush-Francis Catatonia Rating Scale conducted within 24 hours of each other. Included patients were retrospectively screened for delirium through a chart-based assessment. Augmented inverse propensity weighting (AIPW) was used to estimate the causal effects of delirium and catatonia on the presence of an abnormal EEG finding.
Results: Overall, 178 patients met inclusion criteria, 144 (81%) of whom had catatonia. Among the patients with catatonia, 43% also had delirium. EEG abnormalities were present among 43% of patients with catatonia, including 28% of patients with catatonia without delirium and 69% of the patients with co-occurring catatonia and delirium. Individual catatonic signs and EEG abnormalities showed only a weak correlation. In AIPW models, a delirium diagnosis was associated with significantly higher odds for an abnormal EEG finding (OR=6.75; 95% CI=2.83-16.14), whereas a diagnosis of catatonia was not (OR=1.83, 95% CI=0.79-4.24).
Conclusions: EEG abnormalities are common among individuals with catatonia, but these are difficult to disentangle from abnormalities resulting from co-occurring delirium. Further research is needed to define the role of EEG examinations in the assessments of catatonia and delirium.
期刊介绍:
As the official Journal of the American Neuropsychiatric Association, the premier North American organization of clinicians, scientists, and educators specializing in behavioral neurology & neuropsychiatry, neuropsychology, and the clinical neurosciences, the Journal of Neuropsychiatry and Clinical Neurosciences (JNCN) aims to publish works that advance the science of brain-behavior relationships, the care of persons and families affected by neurodevelopmental, acquired neurological, and neurodegenerative conditions, and education and training in behavioral neurology & neuropsychiatry. JNCN publishes peer-reviewed articles on the cognitive, emotional, and behavioral manifestations of neurological conditions, the structural and functional neuroanatomy of idiopathic psychiatric disorders, and the clinical and educational applications and public health implications of scientific advances in these areas. The Journal features systematic reviews and meta-analyses, narrative reviews, original research articles, scholarly considerations of treatment and educational challenges in behavioral neurology & neuropsychiatry, analyses and commentaries on advances and emerging trends in the field, international perspectives on neuropsychiatry, opinions and introspections, case reports that inform on the structural and functional bases of neuropsychiatric conditions, and classic pieces from the field’s rich history.