Zhang Tian Hong, Tang Xiao Chen, Xu Li Hua, Wei Yan Yan, Hu Ye Gang, Cui Hui Ru, Tang Ying Ying, Chen Tao, Li Chun Bo, Zhou Lin Lin, Wang Ji Jun
Shanghai Key Laboratory of Psychotic Disorders, Shanghai Mental Health Center, Shanghai Jiaotong University School of Medicine, Shanghai, PR China.
Big Data Research Lab, University of Waterloo, Waterloo, ON, Canada.
Schizophr Bull. 2022 Jan 21;48(1):154-165. doi: 10.1093/schbul/sbab080.
Patients with psychiatric disorders have an increased risk of cardiovascular pathologies. A bidirectional feedback model between the brain and heart exists widely in both psychotic and nonpsychotic disorders. The aim of this study was to compare heart rate variability (HRV) and pulse wave velocity (PWV) functions between patients with psychotic and nonpsychotic disorders and to investigate whether subgroups defined by HRV and PWV features improve the transdiagnostic psychopathology of psychiatric classification.
In total, 3448 consecutive patients who visited psychiatric or psychological health services with psychotic (N = 1839) and nonpsychotic disorders (N = 1609) and were drug-free for at least 2 weeks were selected. HRV and PWV indicators were measured via finger photoplethysmography during a 5-minute period of rest. Canonical variates were generated through HRV and PWV indicators by canonical correlation analysis (CCA).
All HRV indicators but none of the PWV indicators were significantly reduced in the psychotic group relative to those in the nonpsychotic group. After adjusting for age, gender, and body mass index, many indices of HRV were significantly reduced in the psychotic group compared with those in the nonpsychotic group. CCA analysis revealed 2 subgroups defined by distinct and relatively homogeneous patterns along HRV and PWV dimensions and comprising 19.0% (subgroup 1, n = 655) and 80.9% (subgroup 2, n = 2781) of the sample, each with distinctive features of HRV and PWV functions.
HRV functions are significantly impaired among psychiatric patients, especially in those with psychosis. Our results highlight important subgroups of psychiatric patients that have distinct features of HRV and PWV which transcend current diagnostic boundaries.
精神疾病患者患心血管疾病的风险增加。大脑与心脏之间的双向反馈模型广泛存在于精神病性和非精神病性疾病中。本研究的目的是比较精神病性和非精神病性疾病患者的心率变异性(HRV)和脉搏波速度(PWV)功能,并调查由HRV和PWV特征定义的亚组是否能改善精神疾病分类的跨诊断精神病理学。
总共选取了3448例连续就诊于精神科或心理健康服务机构的患者,其中患有精神病性疾病(N = 1839)和非精神病性疾病(N = 1609),且至少2周未服用药物。在5分钟的休息期间,通过手指光电容积描记法测量HRV和PWV指标。通过典型相关分析(CCA)由HRV和PWV指标生成典型变量。
与非精神病性组相比,精神病性组中所有HRV指标均显著降低,但PWV指标均无显著降低。在调整年龄、性别和体重指数后,与非精神病性组相比,精神病性组的许多HRV指标显著降低。CCA分析揭示了2个亚组,它们由HRV和PWV维度上不同且相对同质的模式定义,分别占样本的19.0%(亚组1,n = 655)和80.9%(亚组2,n = 2781),每个亚组都有独特的HRV和PWV功能特征。
精神科患者的HRV功能显著受损,尤其是患有精神病的患者。我们的结果突出了精神科患者的重要亚组,这些亚组具有超越当前诊断界限的独特HRV和PWV特征。