| Literature DB >> 28376102 |
Marcus A Ulleryd1, Ulrica Prahl2, Johannes Börsbo1, Caroline Schmidt2, Staffan Nilsson3, Göran Bergström2, Maria E Johansson1.
Abstract
BACKGROUND: Autonomic dysfunction is a risk factor for cardiovascular disease (CVD), however, the exact mechanism linking autonomic dysfunction to cardiovascular disease is not known. In this study we hypothesized that autonomic dysfunction increases inflammation, which subsequently accelerates atherosclerosis. The aim of the current study was to investigate the association between autonomic tone, inflammation and atherosclerosis.Entities:
Mesh:
Substances:
Year: 2017 PMID: 28376102 PMCID: PMC5380339 DOI: 10.1371/journal.pone.0174974
Source DB: PubMed Journal: PLoS One ISSN: 1932-6203 Impact factor: 3.240
Characteristics of study population and comparison between subjects with or without prevalent CVD.
| Variables | Values | |||
|---|---|---|---|---|
| All subjects | No history of | Prevalent | p | |
| Smoking, Yes/No | 14/110 | 4/58 | 10/52 | 0.09 |
| Diabetes | 18/106 | 4/58 | 14/48 | 0.011 |
| Dyslipidemia | 77/44 | 37/24 | 40/20 | 0.7 |
| Hypertension | 84/39 | 38/24 | 46/15 | 0.1 |
| Cholesterol-lowering medicine Yes/No | 64/54 | 31/29 | 36/25 | 0.4 |
| Antihypertensive medicine Yes/No | 72/50 | 31/30 | 41/20 | 0.066 |
| Age, years | 67.3 ± 8 | 67 ± 9 | 68 ± 8 | 0.7 |
| Carotid plaque area, mm2 | 58.3 ± 51.6 | 44.1 ± 40.4 | 73.0 ± 57.9 | <0.001 |
| TC, mg/dL | 4.6 ± 1.0 | 5.0 ± 1.1 | 4.2 ± 0.8 | <0.001 |
| LDL, mg/dL | 2.7 ± 0.9 | 3.0 ± 1.0 | 2.4 ± 0.7 | <0.001 |
| HDL, mg/dL | 1.4 ± 0.4 | 1.5 ± 1.1 | 1.4 ± 0.4 | 0.060 |
| SBP, mm Hg | 135 ± 16 | 134 ± 16 | 137 ± 16 | 0.4 |
| DBP, mm Hg | 77 ± 9 | 78 ± 8 | 77 ± 9 | 0.5 |
| BMI, kg/m2 | 26.8 ± 3.7 | 26.0 ± 3.2 | 27.5 ± 3.9 | 0.017 |
| CRP, mg/L | 1.81 ± 1.7 | 1.72 ± 1.61 | 1.91 ± 1.77 | 0.3 |
| WBCC, cells 109/L | 6.1 ± 1.6 | 5.8 ± 1.6 | 6.4 ± 1.7 | 0.040 |
| HRV SDNN, ms | 44.3 ± 18.4 | 45.9 ± 17.9 | 42.7 ± 18.9 | 0.3 |
| BRS Slope, ms/mm Hg | 11.1 ± 6.8 | 12.8 ± 7.9 | 9.5 ± 5.1 | 0.022 |
Values expressed as counts for categorical variables and mean ± standard deviation (SD) for numerical variables. MI: Myocardial infarction, TC: Total cholesterol, LDL: Low-density lipoprotein, HDL: High-density lipoprotein, SBP; Systolic blood pressure, DBP: Diastolic blood pressure, BMI: Body mass index, HR: Heart rate, CRP: C-reactive protein, WBCC: White blood cell count, BRS: Baroreflex sensitivity, HRV: Heart rate variability, SDNN: standard deviation of RR interval.
a Subjects ever diagnosed with the disorder
*p-values for the difference between patients with or without prevalent CVD. BRS Slope, HRV SDNN, CRP, WBCC, carotid plaque area, total cholesterol, LDL-cholesterol and HDL-cholesterol were logarithmically transformed in the analysis. However, untransformed data was presented as mean ± SD for all variables for better comparison with data from other studies.
Relationships between parameters for autonomic function, inflammatory markers, atherosclerosis and clinical factors.
| Variables | Log carotid | Log WBCC | Log CRP | |||
|---|---|---|---|---|---|---|
| Univariate | r | p | r | p | r | p |
| CVD Risk Factors | ||||||
| Age, years | 0.31 | <0.001 | 0.21 | 0.019 | 0.11 | 0.2 |
| Smoking | 0.14 | 0.1 | 0.24 | 0.007 | 0,00 | 1.0 |
| BMI, kg/m2 | 0.14 | 0.1 | 0.19 | 0.030 | 0.19 | 0.034 |
| SBP, mm Hg | 0.16 | 0.086 | 0.15 | 0.091 | 0.07 | 0.5 |
| DBP, mm Hg | -0.08 | 0.4 | -0.11 | 0.2 | -0.03 | 0.7 |
| Log TC, mg/dL | -0.08 | 0.4 | -0.11 | 0.2 | 0.02 | 0.8 |
| Log LDL, mg/dL | -0.06 | 0.5 | -0.15 | 0.085 | 0.03 | 0.7 |
| Log HDL, mg/dL | -0.11 | 0.2 | -0.16 | 0.1 | <0.00 | 1.0 |
| Prevalent stroke/MI | 0.30 | <0.001 | 0.19 | 0.040 | 0.09 | 0.3 |
| Diabetes | 0.08 | 0.4 | 0.11 | 0.2 | 0.10 | 0.3 |
| Dyslipidemia | -0.14 | 0.1 | 0.014 | 0.9 | -0.14 | 0.1 |
| Hypertension | -0.01 | 0.9 | -0.04 | 0.6 | -0.15 | 0.1 |
| Medication | ||||||
| Cholesterol-lowering | 0.07 | 0.5 | 0.1 | 0.2 | 0.07 | 0.4 |
| Antihypertensive | 0.30 | <0.001 | 0.18 | 0.040 | 0.08 | 0.4 |
| Autonomic function | ||||||
| Log BRS Slope, ms/mm Hg | -0.21 | 0.018 | -0.29 | 0.001 | -0.23 | 0.009 |
| Log HRV SDNN, ms | -0.16 | 0.081 | -0.22 | 0.014 | -0.13 | 0.2 |
| Inflammation | ||||||
| Log WBCC, mg/L | 0.36 | <0.001 | - | - | 0.27 | 0.003 |
| Log CRP, mg/L | 0.22 | 0.014 | 0.27 | 0.003 | - | - |
| 2-predictor models | β | p | ||||
| Log BRS Slope, ms/mm Hg | -0.11 | 0.2 | ||||
| Log WBCC, mg/L | 0.32 | 0.001 | ||||
| Log BRS Slope, ms/mm Hg | -0.17 | 0.063 | ||||
| Log CRP, mg/L | 0.18 | 0.047 | ||||
| Log HRV SDNN, ms | -0.08 | 0.4 | ||||
| Log WBCC, mg/L | 0.336 | <0.001 | ||||
| Log HRV SDNN, ms | -0.13 | 0.1 | ||||
| Log CRP, mg/L | 0.206 | 0.023 | ||||
r-values in univariate analysis are Pearson correlation coefficients and β-values in 2-predictor models are standardized regression coefficients. 2-predictor models are multiple linear regressions including one variable of autonomic function and one variable of inflammation. CRP: C-reactive protein, WBCC: White blood cell count, HRV: Heart rate variability, SDNN: standard deviation of RR interval, BRS: Baroreflex sensitivity, CVD: Cardiovascular disease, TC: Total cholesterol, LDL: Low-density lipoprotein, HDL: High-density lipoprotein, SBP; Systolic blood pressure, DBP: Diastolic blood pressure, BMI: Body mass index, HR: Heart rate.
a Subjects ever diagnosed with the disorder
Independent predictors of inflammation and atherosclerosis.
| Predictor | Respons | Model 1 | Model 2 | Model 3 | |||
|---|---|---|---|---|---|---|---|
| β | p | β | p | β | p | ||
| Log BRS Slope, ms/mm Hg | Log WBCC | -0.25 | 0.005 | -0.25 | 0.006 | -0.25 | 0.004 |
| Log HRV SDNN, ms | -0.19 | 0.034 | -0.18 | 0.047 | -0.23 | 0.007 | |
| Log BRS Slope, ms/mm Hg | Log CRP | -0.22 | 0.017 | -0.21 | 0.029 | -0.23 | 0.013 |
| Log HRV SDNN, ms | -0.11 | 0.2 | -0.1 | 0.3 | -0.1 | 0.3 | |
| Log CRP, mg/L | Log Plaque Area | 0.2 | 0.024 | 0.18 | 0.038 | 0.14 | 0.093 |
| Log WBCC, mg/L | 0.3 | <0.001 | 0.26 | 0.003 | 0.23 | 0.010 | |
Model 1: Adjusted for age.
Model 2: Adjusted for age and antihypertensive medicine.
Model 3: Stepwise adjusted for prevalent CVD, current smoking, BMI, diabetes, hypertension, dyslipidemia, systolic blood pressure and cholesterol-lowering medicine. Age and antihypertensive medicine were forced into the model.
Each predictor was included in separate regression models. β-values are standardized regression coefficients. BRS: Baroreflex sensitivity, HRV: Heart rate variability, SDNN: standard deviation of RR intervals, WBCC: white blood cell count.