Imbalance Model of Heart Rate Variability and Pulse Wave Velocity in Psychotic and Nonpsychotic Disorders

Author:

Zhang Tian Hong1ORCID,Tang Xiao Chen1,Xu Li Hua1,Wei Yan Yan1,Hu Ye Gang1,Cui Hui Ru1,Tang Ying Ying1,Chen Tao234,Li Chun Bo1,Zhou Lin Lin1,Wang Ji Jun156

Affiliation:

1. Shanghai Key Laboratory of Psychotic Disorders, Shanghai Mental Health Center, Shanghai Jiaotong University School of Medicine, Shanghai, PR China

2. Big Data Research Lab, University of Waterloo, Waterloo, ON, Canada

3. Labor and Worklife Program, Harvard University, Boston, MA, USA

4. Niacin (Shanghai) Technology Co., Ltd., Shanghai, China

5. CAS Center for Excellence in Brain Science and Intelligence Technology (CEBSIT), Chinese Academy of Science, Shanghai, PR China

6. Institute of Psychology and Behavioral Science, Shanghai Jiao Tong University, Shanghai, PR China

Abstract

Abstract Objectives 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. Methods 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). Results 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. Conclusions 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.

Funder

Ministry of Science and Technology of China

National Key R&D Program of China

National Natural Science Foundation of China

Science and Technology Commission of Shanghai Municipality

Construction, Shanghai 3-Year Public Health Action Plan

Shanghai Mental Health Center

Publisher

Oxford University Press (OUP)

Subject

Psychiatry and Mental health

Reference56 articles.

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