Rigucci Silvia, Dimitri-Valente Giorgia, Mandarelli Gabriele, Manfredi Giovanni, Comparelli Anna, De Filippis Sergio, Gherardelli Simona, Bersani Giuseppe, Girardi Paolo, Ferracuti Stefano
RIGUCCI, DIMITRI-VALENTE, MANDARELLI, MANFREDI, COMPARELLI, DE FILIPPIS, GIRARDI, and FERRACUTI: Sant'Andrea Hospital, Faculty of Medicine and Psychology, Sapienza University of Rome, Italy; GHERARDELLI and BERSANI: Faculty of Pharmacy and Medicine, Sapienza University of Rome, Italy.
J Psychiatr Pract. 2014 Mar;20(2):147-53. doi: 10.1097/01.pra.0000445250.20875.0e.
Although neurological soft signs have been consistently described in patients with schizophrenia, their diagnostic specificity is not well clarified.
To test the hypothesis that neurological soft signs are specifically related to schizophrenia, we examined 305 subjects (patients with schizophrenia-spectrum disorder, n=167; patients with bipolar I disorder, n=88; controls, n=50). Neurological soft signs were assessed using the Neurological Evaluation Scale (NES). Multiple logistic regression analysis was used to compute the diagnostic predictive power of neurological soft signs.
Patients in the schizophrenia-spectrum disorder group were found to have significantly greater neurological impairment (NES total score=23.9, standard deviation [SD] 11.2) than those in the bipolar disorder group (NES total score=18.2, SD 7.6; p<0.001). Neurological functioning was closely associated with psychopathology (all p<0.001). The NES total score reliably distinguished patients with schizophrenia spectrum disorders from those with bipolar disorder in 68.7% of the cases (p<0.001). Moreover, a particular set of neurological soft signs showed specificity for the schizophrenia-spectrum disorder diagnostic group.
Our findings suggest that schizophrenia and bipolar disorder can be distinguished in terms of neurological impairment. Furthermore, we recommend the utility of neurological soft signs as a useful, quantifiable, sensitive, and inexpensive tool for the diagnostic work-up of schizophrenia.
尽管在精神分裂症患者中一直有神经软体征的描述,但其诊断特异性尚未得到很好的阐明。
为检验神经软体征与精神分裂症有特定关联这一假设,我们检查了305名受试者(精神分裂症谱系障碍患者,n = 167;双相I型障碍患者,n = 88;对照组,n = 50)。使用神经评估量表(NES)评估神经软体征。采用多元逻辑回归分析来计算神经软体征的诊断预测能力。
发现精神分裂症谱系障碍组患者的神经功能损害(NES总分 = 23.9,标准差[SD] 11.2)显著大于双相障碍组患者(NES总分 = 18.2,SD 7.6;p < 0.001)。神经功能与精神病理学密切相关(所有p < 0.001)。NES总分在68.7%的病例中能可靠地区分精神分裂症谱系障碍患者与双相障碍患者(p < 0.001)。此外,一组特定的神经软体征对精神分裂症谱系障碍诊断组具有特异性。
我们的研究结果表明,精神分裂症和双相障碍可在神经功能损害方面加以区分。此外,我们推荐将神经软体征作为一种有用、可量化、敏感且廉价的工具,用于精神分裂症的诊断检查。