Pehlivanidis Artemios, Kouklari Evangelia-Chrysanthi, Kalantzi Eva, Korobili Kalliopi, Tagkouli Evdokia, Papanikolaou Katerina
1st Department of Psychiatry, "Eginition" Hospital, Medical School, National and Kapodistrian University of Athens, Athens, 11527, Greece.
Department of Child Psychiatry, Medical School, "Aghia Sophia" Children's Hospital, National and Kapodistrian University of Athens, Athens, 11527, Greece.
BMC Psychiatry. 2025 Apr 17;25(1):391. doi: 10.1186/s12888-025-06841-0.
To diagnose and manage adults with Attention Deficit Hyperactivity Disorder (ADHD), Autism Spectrum Disorder (ASD), or their co-occurrence (ADHD + ASD), clinicians must identify specific features that differentiate these diagnostic categories. Self-report questionnaires targeting specific features are widely used and, together with clinical assessments, provide reliable diagnoses. Although affective lability is present in various psychiatric disorders, it lacks specificity when screening for ADHD in the general population, and its discriminant value for ADHD, ASD, and ADHD + ASD has not been studied.
This study involved 300 adults without intellectual developmental disorder (188 male) who received an ADHD (n = 174), ASD (n = 68), or ADHD + ASD (n = 58) diagnosis after a multidisciplinary consensus decision according to DSM-5 criteria. Before clinical assessment, all patients requesting evaluation for one of these diagnoses completed questionnaires on an online platform. The assessment instruments included a modified version of the Barkley Adult ADHD Rating Scale (BAARS IV) for ADHD, the Autism Spectrum Quotient (AQ) and the Empathy Quotient (EQ) for ASD features, and the Affective Lability Scale (ALS) for affective lability. Total scores and sub-scores of the instruments were compared among the three groups. Additionally, stepwise logistic regression analyses were conducted to identify specific measures that contribute to group discrimination.
Results revealed distinct patterns in symptomatology as expected. The ADHD and the ADHD + ASD groups presented significantly higher ALS total score compared to ASD. Stepwise logistic regression analyses identified specific measures contributing to group differentiation. ASD vs. ADHD + ASD discrimination included BAARS IV current total score and EQ total score. The subscale anger from ALS in addition with BAARS IV past total score and AQ total score were the factors that discriminated ADHD diagnosis from the co-occurrence of ADHD and ASD. Finally, BAARS IV past total score, BAARS IV current inattention, AQ total score, and EQ total score were found to differentiate ADHD from ASD.
The study highlights the significance of incorporating emotional dimensions in diagnostic frameworks and may contribute valuable insights for clinicians differentiating neurodevelopmental conditions.
为了诊断和管理患有注意力缺陷多动障碍(ADHD)、自闭症谱系障碍(ASD)或两者共病(ADHD + ASD)的成年人,临床医生必须识别出区分这些诊断类别的特定特征。针对特定特征的自我报告问卷被广泛使用,并与临床评估一起提供可靠的诊断。尽管情感不稳定存在于各种精神疾病中,但在普通人群中筛查ADHD时缺乏特异性,其对ADHD、ASD和ADHD + ASD的判别价值尚未得到研究。
本研究纳入了300名无智力发育障碍的成年人(188名男性),他们根据《精神疾病诊断与统计手册》第5版(DSM-5)标准,经多学科共识决定后被诊断为ADHD(n = 174)、ASD(n = 68)或ADHD + ASD(n = 58)。在临床评估之前,所有要求对这些诊断之一进行评估的患者在在线平台上完成问卷。评估工具包括用于ADHD的巴克莱成人ADHD评定量表(BAARS IV)的修订版、用于ASD特征的自闭症谱系商数(AQ)和同理心商数(EQ),以及用于情感不稳定的情感不稳定量表(ALS)。比较了三组中各工具的总分和子分数。此外,进行了逐步逻辑回归分析,以确定有助于区分组别的具体指标。
结果显示出预期的不同症状模式。与ASD组相比,ADHD组和ADHD + ASD组的ALS总分显著更高。逐步逻辑回归分析确定了有助于区分组别的具体指标。ASD与ADHD + ASD的判别包括BAARS IV当前总分和EQ总分。ALS的愤怒子量表以及BAARS IV过去总分和AQ总分是区分ADHD诊断与ADHD和ASD共病的因素。最后,发现BAARS IV过去总分、BAARS IV当前注意力不集中、AQ总分和EQ总分可区分ADHD与ASD。
该研究强调了在诊断框架中纳入情感维度的重要性,并可能为临床医生区分神经发育状况提供有价值的见解。