Imbalance Model of Heart Rate Variability and Pulse Wave Velocity in Psychotic and Nonpsychotic Disorders
| Autor: | Xiao Chen Tang, Tao Chen, Lin Lin Zhou, Ye Gang Hu, Chun Bo Li, Yan Yan Wei, Ji Jun Wang, Ying Ying Tang, LiHua Xu, Tianhong Zhang, Hui Ru Cui |
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| Rok vydání: | 2021 |
| Předmět: |
Adult
Male Psychosis medicine.medical_specialty Comorbidity Pulse Wave Analysis Autonomic Nervous System 03 medical and health sciences 0302 clinical medicine Heart Rate Photoplethysmogram Internal medicine Humans Medicine Heart rate variability Pulse wave velocity business.industry Mental Disorders Middle Aged medicine.disease 030227 psychiatry Plethysmography Psychiatry and Mental health Increased risk Psychotic Disorders Cardiovascular Diseases Homogeneous Cardiology Female business Body mass index 030217 neurology & neurosurgery Regular Articles circulatory and respiratory physiology Psychopathology |
| Zdroj: | Schizophr Bull |
| ISSN: | 1745-1701 0586-7614 |
| DOI: | 10.1093/schbul/sbab080 |
| Popis: | 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. |
| Databáze: | OpenAIRE |
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