Mackinley Michael, Limongi Roberto, Silva Angélica María, Richard Julie, Subramanian Priya, Ganjavi Hooman, Palaniyappan Lena
Robarts Research Institute, University of Western Ontario, London, ON, Canada.
Lawson Health Research Institute, London, ON, Canada.
Front Psychiatry. 2023 Apr 14;14:1144281. doi: 10.3389/fpsyt.2023.1144281. eCollection 2023.
Several disturbances in speech are present in psychosis; however, the relationship between these disturbances during the first-episode of psychosis (FEP) and later vocational functioning is unclear. Demonstrating this relationship is critical if we expect speech and communication deficits to emerge as targets for early intervention.
We analyzed three 1-min speech samples using automated speech analysis and Bayes networks in an antipsychotic-naive sample of 39 FEP patients and followed them longitudinally to determine their vocational status (engaged or not engaged in employment education or training-EET vs. NEET) after 6-12 months of treatment. Five baseline linguistic variables with prior evidence of clinical relevance (total and acausal connectives use, pronoun use, analytic thinking, and total words uttered in a limited period) were included in a Bayes network along with follow-up NEET status and Social and Occupational Functioning Assessment Scale (SOFAS) scores to determine dependencies among these variables. We also included clinical (Positive and Negative Syndrome Scale 8-item version (PANSS-8)), social (parental socioeconomic status), and cognitive features (processing speed) at the time of presentation as covariates.
The Bayes network revealed that only total words spoken at the baseline assessment were directly associated with later NEET status and had an indirect association with SOFAS, with a second set of dependencies emerging among the remaining linguistic variables. The primary (speech-only) model outperformed models including parental socioeconomic status, processing speed or both as latent variables.
Impoverished speech, even at subclinical levels, may hold prognostic value for functional outcomes and warrant consideration when providing measurement based care for first-episode psychosis.
精神病患者存在多种言语障碍;然而,这些障碍在首次发作精神病(FEP)期间与后期职业功能之间的关系尚不清楚。如果我们期望言语和沟通缺陷成为早期干预的目标,那么证明这种关系至关重要。
我们在39例未服用抗精神病药物的FEP患者样本中,使用自动语音分析和贝叶斯网络分析了三个1分钟的言语样本,并对他们进行纵向跟踪,以确定治疗6至12个月后的职业状况(是否参与就业教育或培训 - EET与NEET)。五个具有临床相关性先前证据的基线语言变量(总连接词和非因果连接词的使用、代词的使用、分析性思维以及在有限时间内说出的总单词数)与随访的NEET状态以及社会和职业功能评估量表(SOFAS)得分一起纳入贝叶斯网络,以确定这些变量之间的依赖性。我们还将就诊时的临床特征(阳性和阴性症状量表8项版(PANSS - 8))、社会特征(父母社会经济地位)和认知特征(处理速度)作为协变量纳入。
贝叶斯网络显示,只有基线评估时说出的总单词数与后期的NEET状态直接相关,并且与SOFAS存在间接关联,其余语言变量之间出现了第二组依赖性。主要的(仅言语)模型优于将父母社会经济地位、处理速度或两者作为潜在变量的模型。
即使在亚临床水平,言语匮乏也可能对功能结局具有预后价值,并且在为首次发作精神病提供基于测量的护理时值得考虑。