当前位置: X-MOL 学术Biol. Psychiatry › 论文详情
Our official English website, www.x-mol.net, welcomes your feedback! (Note: you will need to create a separate account there.)
Title: The electroretinogram may differentiate schizophrenia from bipolar disorder
Biological Psychiatry ( IF 10.6 ) Pub Date : 2020-02-01 , DOI: 10.1016/j.biopsych.2019.06.014
Marc Hébert 1 , Chantal Mérette 2 , Anne-Marie Gagné 3 , Thomas Paccalet 4 , Isabel Moreau 3 , Joëlle Lavoie 5 , Michel Maziade 2
Affiliation  

BACKGROUND The retina is recognized as an approachable part of the brain owing to their common embryonic origin. The electroretinogram (ERG) has proved to be a valuable tool to investigate psychiatric disorders. We therefore investigated its accuracy as a tool to differentiate schizophrenia (SZ) from bipolar disorder (BP) even after balancing patients for their main antipsychotic medication. METHODS ERG cone and rod luminance response functions were recorded in 150 patients with SZ and 151 patients with BP and compared with 200 control subjects. We created a subgroup of subjects-45 with SZ and 45 with BP-balanced for their main antipsychotic medication. RESULTS A reduced cone a-wave amplitude and a prolonged b-wave latency were observed in both disorders, whereas a reduced cone b-wave amplitude was present in SZ only. Reduced mixed rod-cone a- and b-wave amplitudes were observed in both disorders. Patients with SZ were distinguishable from control subjects with 0.91 accuracy, 77% sensitivity, and 91% specificity with similar numbers for patients with BP (0.89, 76%, and 88%, respectively). Patients with SZ and patients with BP could be differentiated with an accuracy of 0.86 (whole sample) and 0.83 (subsamples of 45 patients with 80% sensitivity and 82% specificity). Antipsychotic dosages were not correlated with ERG parameters. CONCLUSIONS The ERG waveform parameters used in this study provided a very accurate distinction between the two disorders when using a logistic regression model. This supports the ERG as a tool that could aid the clinician in the differential diagnosis of SZ and BP in stabilized medicated patients.

中文翻译:

标题:视网膜电图可以区分精神分裂症和双相情感障碍

背景技术由于其共同的胚胎起源,视网膜被认为是大脑的一个可接近的部分。视网膜电图 (ERG) 已被证明是研究精神疾病的宝贵工具。因此,我们研究了其作为区分精神分裂症 (SZ) 与双相情感障碍 (BP) 的工具的准确性,即使在平衡患者的主要抗精神病药物后也是如此。方法 记录 150 名 SZ 患者和 151 名 BP 患者的 ERG 视锥和杆状亮度响应函数,并与 200 名对照受试者进行比较。我们为他们的主要抗精神病药物创建了一个子组 - 45 名患有 SZ,45 名患有 BP 平衡。结果 在两种疾病中都观察到锥体 a 波振幅降低和 b 波潜伏期延长,而锥体 b 波振幅仅在 SZ 中存在。在两种疾病中都观察到混合杆锥 a 和 b 波振幅降低。SZ 患者与对照受试者的区分度为 0.91,灵敏度为 77%,特异性为 91%,BP 患者的数字相似(分别为 0.89、76% 和 88%)。SZ 患者和 BP 患者的区分精度为 0.86(全样本)和 0.83(45 名患者的子样本,敏感性为 80%,特异性为 82%)。抗精神病药剂量与 ERG 参数无关。结论 本研究中使用的 ERG 波形参数在使用逻辑回归模型时提供了两种疾病之间的非常准确的区分。这支持 ERG 作为一种工具,可以帮助临床医生对稳定的药物治疗患者的 SZ 和 BP 进行鉴别诊断。
更新日期:2020-02-01
down
wechat
bug