Qinlian Huang , Linqi Liu , Lihong Huang , Wei Zheng , Yuping Zhao , Kebin Zeng , Fei Xiao , Jing Luo , Feng Li
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Multivariate logistic models were applied to analyze the risk features associated with non-remission of ORPS at discharge, and the Spearman rank correlation was adopted to analyze the correlation between the occurrence of microstate class B and BPRS score at admission.</div></div><div><h3>Results</h3><div>The analysis revealed that an increased occurrence of EEG microstate class B was significantly associated with a higher likelihood of non-remission of ORPS at discharge (p < 0.05). Furthermore, a moderate positive correlation was observed between the occurrence of microstate class B and BPRS scores at admission (r = 0.390, p = 0.030), indicating that patients with more frequent microstate class B tended to exhibit more severe psychiatric symptoms at onset.</div></div><div><h3>Conclusions</h3><div>The findings suggest that an increased occurrence of EEG microstate class B is an independent risk factor for non-remission of ORPS at discharge. 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引用次数: 0
摘要
研究目的本研究旨在探讨持续性Omicron相关精神症状(ORPS)患者的脑电图微状态特征及其与ORPS严重程度的相关性:本研究纳入了31例ORPS患者,根据出院时简明精神病评定量表(BPRS)的下降情况将其分为缓解组(19例)和非缓解组(12例)。应用多变量Logistic模型分析出院时ORPS未缓解的相关风险特征,并采用Spearman秩相关分析微状态B级的发生与入院时BPRS评分之间的相关性:分析结果显示,脑电图微状态 B 级的增加与出院时 ORPS 未缓解的可能性显著相关(P < 0.05)。此外,B级微状态的发生率与入院时的BPRS评分呈中度正相关(r = 0.390,p = 0.030),表明B级微状态发生率越高的患者在发病时往往表现出更严重的精神症状:结论:研究结果表明,脑电图微状态 B 级发生率增加是 ORPS 出院时未缓解的独立风险因素。此外,B级微态与BPRS评分之间的正相关性突出表明,B级微态有可能成为反映ORPS患者精神症状严重程度的生物标志物:意义:入院时微态B级发生率的增加可作为早期评估ORPS严重程度和预后评估的新型标志物。
Increased occurrence of microstate class B as the independent risk factor for persistent psychiatric symptoms related to omicron infection
Objective
This study aimed to investigate the EEG microstate characteristics in patients with persistent Omicron-related Psychiatric Symptoms (ORPS) as well as their correlations with the severity of ORPS.
Methods
This study included 31 patients with ORPS, and they were divided into remission group (n=19) and non-remission group (n=12) according to the decrease of Brief Psychiatric Rating Scale (BPRS) at discharge. Multivariate logistic models were applied to analyze the risk features associated with non-remission of ORPS at discharge, and the Spearman rank correlation was adopted to analyze the correlation between the occurrence of microstate class B and BPRS score at admission.
Results
The analysis revealed that an increased occurrence of EEG microstate class B was significantly associated with a higher likelihood of non-remission of ORPS at discharge (p < 0.05). Furthermore, a moderate positive correlation was observed between the occurrence of microstate class B and BPRS scores at admission (r = 0.390, p = 0.030), indicating that patients with more frequent microstate class B tended to exhibit more severe psychiatric symptoms at onset.
Conclusions
The findings suggest that an increased occurrence of EEG microstate class B is an independent risk factor for non-remission of ORPS at discharge. Additionally, the positive correlation between microstate class B and BPRS scores underscores the potential of microstate class B as a biomarker for the severity of psychiatric symptoms in ORPS patients.
Significance
Identifying the increased occurrence of microstate class B at admission could serve as a novel marker for early assessment of ORPS severity and prognostic evaluation.
期刊介绍:
The Brain Research Bulletin (BRB) aims to publish novel work that advances our knowledge of molecular and cellular mechanisms that underlie neural network properties associated with behavior, cognition and other brain functions during neurodevelopment and in the adult. Although clinical research is out of the Journal''s scope, the BRB also aims to publish translation research that provides insight into biological mechanisms and processes associated with neurodegeneration mechanisms, neurological diseases and neuropsychiatric disorders. The Journal is especially interested in research using novel methodologies, such as optogenetics, multielectrode array recordings and life imaging in wild-type and genetically-modified animal models, with the goal to advance our understanding of how neurons, glia and networks function in vivo.