Objective Persons with bipolar disorder face excess risk of cardiovascular disease, although the biobehavioral mechanisms and time course are unclear. We measured vascular stiffness in a cross-sectional sample of participants with bipolar disorder and compared results to published normative data to assess time-course and relationship to behavioral risk factors. Methods 62 individuals with bipolar disorder (33±6.7 years; 64% female) underwent non-invasive assessment of arterial stiffness through arterial applanation tonometry. Lifetime tobacco exposure was estimated on clinical interview. Physical activity was assessed using the long-version of the International Physical Activity Questionnaire (IPAQ). A food frequency questionnaire was used to compute Alternate Healthy Eating Index (AHEI), a measure of overall dietary quality. Medication histories were systematically abstracted from pharmacy records. Results Participants over the age of 32 (median split) had greater arterial stiffness than expected from age-based population norms for pulse wave velocity (PWV) (7.6 vs. 7.0 m/s, p=0.02) and estimated aortic augmentation pressure (AIx) (14.2 vs. 8.2%, p=0.0002). The younger portion of the sample did not differ from population norms on these measures (PWV 6.3 vs. 6.4 m/s, p=0.45 and AIx 7.6 vs. 7.4%, p=0.60). In the older half of the sample, physical activity was inversely associated with AIx and poorer diet marginally associated with PWV. These findings were independent of body mass index (BMI), which was strongly related to arterial stiffness. Conclusion Risk for vascular disease may be acquired over the long-term course of affective illness. This risk appears to reflect maladaptive health behaviors, which may be amenable to intervention.
Objective The risk for cardiovascular diseases is elevated in persons with bipolar disorder. However, it remains unknown how much of this excess risk is secondary to pharmacologic treatment. We tested the hypothesis that current and cumulative antipsychotic drug exposure is associated with increased cardiovascular risk as indicated by lower heart rate variability (HRV) and increased blood pressure variability (BPV). Methods 55 individuals with bipolar disorder (33±7 years; 67% female) underwent non-invasive electrocardiogram assessment of time- and frequency-domain HRV, as well as BPV analysis. Medication histories were obtained through systematic review of pharmacy records for the past five years. Results Current antipsychotic exposure was associated with lower SDNN. Second generation antipsychotics were associated with lower SDNN and RMSSD. There was no significant relationship between five-year antipsychotic exposure and HRV in subjects with bipolar disorder. Exploratory analysis revealed a possible link between SSRI exposure and increased low frequency spectral HRV. Conclusions Current antipsychotic use (particularly second generation antipsychotics with high affinities for the D2S receptor) is associated with reduced autonomic-mediated variability of heart rate. The absence of an association with cumulative exposure suggests that the effects are acute in onset, and may therefore relate more to altered autonomic function than structural cardiovascular abnormalities. Future studies should prospectively examine effects of these antipsychotics on autonomic function.
BackgroundWe sought to determine whether heart rate variability (HRV), blood pressure (BP) variability, and baroreceptor-heart rate reflex sensitivity can be reliably assessed using finger volume pulse waveforms obtained from the commercially available EndoPAT device.MethodsNon-invasive BP (Finometer Pro as a non-invasive standard) and finger volume (EndoPAT) waveforms were recorded in 65 adults (37 ± 14 years; 60% female) and systolic BP and heart rate (HR) time series were derived after calibrating the EndoPAT signal based on systolic and diastolic BP values obtained by a sphygomomanometer. Transfer function analyses were performed to test for coherence between systolic BP and HR time series derived from the Finometer and EndoPAT devices. Time-domain HRV parameters, frequency domain HR and systolic BP variability parameters, and baroreflex sensitivity (sequence technique) were computed from Finometer- and EndoPAT-derived time series and intraclass correlation coefficients (ICC) were calculated.ResultsSquared coherence between systolic BP time series derived from the Finometer and EndoPAT devices was low, suggesting poor correlation. In contrast, squared coherence between HR time series derived from the two devices was excellent [High Frequency (HF) = 0.80, Low Frequency (LF) = 0.81], with gain values close to 1.0. ICC values for time- and frequency-domain HRV parameters were excellent (>0.9 except for relative HF HRV, which was 0.77), while ICC values for frequency-domain BP variability parameters and baroreceptor-HR reflex sensitivity were low.ConclusionsFinger volume pulse waveforms can be used to reliably assess both time-domain and frequency-domain HR variability. However, frequency domain BP variability parameters cannot be reliably assessed from finger volume pulse waveforms using the simple calibration technique used in this study.
This work was supported by the Iowa City VA Health Care System and by the Department of Veterans Affairs, Office of Research and Development, Health Services Research and Development Service (Lund, CIN 13-412). The authors have no conflicts of interest. The views expressed in this article are those of the authors and do not necessarily reflect the position or policy of the Department of Veterans Affairs or the U.S. government.
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