- Research
- Open Access
Association among epicardial fat, heart rate recovery and circadian blood pressure variability in patients with hypertension
- Received: 1 July 2015
- Accepted: 2 November 2015
- Published: 22 November 2015
Abstract
Background
Epicardial fat tissue is known to have an unique endocrine function which affect the cardiac autonomic system. Heart rate recovery (HRR) is a simple non-invasive measurement that assesses autonomic nervous system dysfunction. We aimed to investigate the association among epicardial fat thickness (EFT), HRR and circadian blood pressure (BP) variation in patients with hypertension.
Methods
A total of 358 consecutive patients who underwent both 24-hour ambulatory BP monitoring (ABPM) and a treadmill test were enrolled. Echocardiographic EFT and HRR, defined as peak heart rate minus heart rate after a 1-min recovery time, were measured. Patients were classified according to the ABPM; 147 patients with hypertension with a dipping pattern at night (dippers), 140 patients with hypertension with a non-dipping pattern at night (non-dippers) and 71 normotensive controls.
Results
EFT was significantly higher in hypertensive patients, especially in the non-dipper group, compared to the controls (non-dippers, 7.5 ± 2.9 mm; dippers, 6.6 ± 1.6 mm; controls, 5.5 ± 2.1 mm; p < 0.001). HRR was significantly lower in both hypertensive groups as compared to the control group and was the lowest in the non-dipper group (non-dipper, 26.6 ± 18.6; dipper, 29.5 ± 21.5; control, 71.4 ± 19.8; p < 0.001). EFT was significantly correlated with age, body mass index, 24-hour mean systolic BP and 24 h mean BP variability, whereas exercise duration, metabolic equivalents (METs) and HRR were inversely correlated with EFT. Furthermore, EFT > 6.7 mm was associated with a blunted HRR with 76 % sensitivity and 61 % specificity (ROC area under curve: 0.71, 95 % confidence interval, CI = 0.65–0.76, p < 0.001). In a multivariate analysis, EFT (odds ratio, OR = 3.53, 95 % CI = 1.20–10.37, p = 0.022) and 24-hour mean BP variability (OR = 1.09, 95 % CI = 1.03–1.16, p = 0.005) were independent predictors of a blunted HRR defined as HRR ≤ 12 beats (n = 63) in patients with hypertension.
Conclusion
EFT and HRR were significantly correlated with circadian BP variability in patients with hypertension. EFT and circadian BP variability were independent predictors of blunted HRR, which suggests a link between epicardial fat and autonomic dysregulation in hypertension.
Keywords
- Epicardial fat
- Cardiac autonomic function
- Heart rate recovery
- Hypertension
Background
Blood pressure (BP) is subject to diurnal variation, and studies using ambulatory BP monitoring (ABPM) have demonstrated that a blunted reduction in nocturnal BP (i.e., a non-dipping pattern) is associated with severe end-organ damage and an increased risk of cardiovascular events, especially in hypertensive patients [1, 2]. Although pathologic mechanisms are still unclear, non-dippers are suggested to show the impairment in the autonomic system functions that include abnormal sympathetic and parasympathetic activities [3, 4]. Heart rate recovery (HRR) is a simple non-invasive measurement analyzing autonomic nervous system dysfunction, which indicates impaired parasympathetic reactivation [5–7]. HRR after exercise is emerging as a new and important prognostic index, [8, 9] and an earlier study showed that a blunted HRR defined as a decrease in heart rate (HR) from peak exercise to 1 min into recovery of ≤ 12 beats/min is a powerful predictor of overall mortality [10]. Recently, it has been shown that blunted HRR is common in patients with hypertension, and this phenomenon is associated with cardiovascular risk [5].
Epicardial fat thickness (EFT) is a newly identified cardiovascular risk factor. A high amount of epicardial fat is dangerous because this fat tissue is known to have unique endocrine and paracrine functions which affect the cardiac autonomic system [11–13]. Because elevated BP is associated with ectopic fat accumulation in the intrathoracic and epicardial areas, an association between epicardial adipose tissue and hypertension [14, 15], as well as with diurnal BP patterns, [16, 17] has been suggested in some recent studies. However, the association between EFT and autonomic function assessed by HRR in patients with hypertension has not been well studied. So, we aimed to investigate the association among EFT, HRR and circadian BP variation in patients with hypertension.
Methods
Study population
This cross-sectional, observational single-center cohort study included 358 consecutive patients who simultaneously underwent 24-hour ABPM, an exercise treadmill test and echocardiography between January 2010 and March 2015. Inclusion criteria were: 18–80 years of age, normal renal function and for women to be on a regular menstrual cycle. Exclusion criteria were: any systemic disease such as significant liver disease, neurologic disorders or malignant disease; secondary hypertension; valvular heart disease; a positive treadmill test; a history of heart failure; a history of acute coronary syndrome; myocar dial infarction or any revascularization procedure. Demographic characteristics recorded at the first visit included age, gender, height, weight, current medications, smoking history and other comorbidities. Blood was drawn for measurement of total serum cholesterol, high-density lipoprotein (HDL), low-density lipoprotein (LDL) cholesterol, triglycerides, blood glucose, creatinine, uric acid, and high sensitivity C-reactive protein (hs-CRP). Body mass index (BMI) was calculated as the ratio of weight in kilograms to height in square meters. This study was approved by the Kosin University International Review Board. All patients were required to provide written informed consent to participate.
Blood pressure measurement and ambulatory blood pressure monitoring
Office BP measurements were measured twice at 5-min intervals using a mercury sphygmomanometer. Noninvasive 24-hour ABPM was performed on each patient’s non-dominant arm using an automatic oscillometric device (TONOPORT V, PAR Medizintechnik, Berlin, Germany) on a normal working day. Patients were generally asked to refrain from fast exercise or stop taking the antihypertensive medications before 48 h. All subjects were instructed to rest or sleep between 10:00 PM and 7:00 AM (nighttime) and to continue their usual activities between 7:00 AM and 10:00 PM (daytime). The accuracy of the device was checked against the standard auscultatory method to assure the difference in BP measurements between methods did not exceed 5 mmHg. The device was set to obtain BP readings at 20-min intervals during the daytime and at 40-min intervals during the nighttime. Only 24-hour recordings that included at least 80 % successful recordings were accepted as valid. Each ABPM dataset was first automatically scanned to remove artifactual readings according to preselected editing criteria. The following ABPM parameters were evaluated: 24-hour mean systolic and diastolic BP levels, daytime mean systolic and diastolic BP levels, nighttime mean systolic and diastolic BP levels and BP variability assessed by standard deviation (SD). Additionally, the magnitude of the nocturnal decline in BP (Δ nocturnal decline) was calculated as follows: daytime average BP minus nighttime average; the percentage change in BP from day to night (% day – night BP) was calculated as: (daytime BP – nighttime BP) × 100/daytime BP.
Diagnosis of hypertension
Following the recommendations of the European Society of Hypertension, [18] a normotensive state was defined as a mean daytime ambulatory systolic and diastolic BP < 135/85 mmHg by ABPM, associated with an office BP < 140/90 mmHg. True hypertension was assigned if the average daytime BP was higher than 135/85 mmHg and the average nighttime BP was above 120/75 mmHg. In addition, the hypertensive subjects who had reduction in BP < 10 % change from daytime to nighttime period were defined as “non-dippers”, and the hypertensive subjects who had a reduction in BP ≥ 10 % change from daytime to nighttime were considered “dippers”. Patients were classified according to the ABPM; 147 patients had hypertension and the dipping pattern (dippers), 140 patients had hypertension and a non-dipping pattern (non-dippers) and 71 were normotensive controls.
Echocardiographic measurement
Echocardiographic assessments of EFT, defined as the echo-free space between the outer wall of the myocardium and the visceral layer of the pericardium, were measured perpendicularly from the free wall of the right ventricle at end-systole in the parasternal long axis view
Exercise treadmill testing
On the same day as the echocardiographic examination, patients underwent symptom-limited exercise stress testing (GE CASE T2100; GE Medical Systems, Milwaukee, WI, USA) according to the protocol by Bruce et al. [21]. BP was measured with an automated BP monitor (Suntech Tango; Suntech Medical, Morrisville, NC, USA) throughout the treadmill test using the same arm as resting BP was measured on. Twelve-lead electrocardiography was monitored continuously and was printed at a paper speed of 25 mm/s; measurements of HR and BP were recorded at the end of each 3-min stage, at peak exercise and at 1-min intervals throughout recovery. The participants continued to exercise until volitional fatigue or if their HR exceeded 95 % of estimated maximal HR (220 bpm - age). Total exercise time was also recorded. Functional capacity was estimated in metabolic equivalents (METs) on the basis of the spceed and grade of the treadmill [22]. During the recovery phase, the subjects continued to walk for 60 s at a speed of 1.5 mph, and then they sat down for 3 min with continued monitoring of BP, HR and heart rhythm. The value for the HRR was defined as the decrease in the HR from peak exercise to one minute after the cessation of exercise. An abnormal value for the HRR was defined as ≤ 12 beats/min in accordance with previous studies [10].
Statistical analysis
Statistical analyses were performed with the commercially available computer program SPSS 18.0 for Windows (SPSS Inc., Chicago, IL, USA). Data are presented as mean ± standard deviation for continuous variables and their percentages (%) if the data are categorical. The Mann – Whitney U test was used for continuous variables and the chi-square test was used for categorical data. The normality of data was tested using the Kolmogorov–Smirnov test. Parameter differences among the three groups were evaluated using a one-way ANOVA for normally distributed variables or the Kruskal–Wallis test for non-normally distributed variables. Relationships between variables were examined with Pearson correlation coefficients. The cutoff value of EFT for predicting blunted HRR with corresponding sensitivity and specificity was estimated by receiving operator characteristic (ROC) curve analysis. Multivariate logistic regression models for blunted HRR were built to determine which variables were independently associated with this status. A two-tailed p < 0.05 was considered to be statistically significant.
Results
Comparison of clinical and ambulatory blood pressure monitoring parameters
Baseline clinical and laboratory characteristics according to the diurnal variation
Control group (n = 71) | Dipper group (n = 147) | Non-dipper group (n =140) | p-value (ANOVA) | |
|---|---|---|---|---|
Age, years | 52.0 ± 12.1 | 50.4 ± 13.7 | 52.2 ± 15.0 | 0.492 |
Male gender, n (%) | 34 (47.9 %) | 93 (63.3 %) | 65 (46.4 %)** | 0.010 |
Body mass index, kg/m2 | 23.2 ± 2.8 | 24.7 ± 3.6* | 25.2 ± 4.0* | 0.001 |
Office systolic BP, mmHg | 124 ± 12.1 | 131 ± 17.2* | 132 ± 17.9* | 0.008 |
Office diastolic BP, mmHg | 72.5 ± 10.7 | 79.3 ± 13.3* | 78.5 ± 13.3* | 0.002 |
Heart rate, bpm | 64.5 ± 13.3 | 65.8 ± 9.6 | 68.2 ± 12.5* | 0.033 |
Current smoking, n (%) | 7 (9.6 %) | 22 (15.0 %) | 19 (13.6 %) | 0.422 |
Diabetes, n (%) | 5 (7.0 %) | 11 (7.5 %) | 12 (8.6 %) | 0.908 |
Dyslipidemia, n (%) | 23 (32.4 %) | 50 (34.1 %) | 55 (39.3 %) | 0.077 |
Previous BP medication | ||||
RAS blockade, n (%) | - | 26 (17.7 %) | 31 (22.1 %) | 0.211 |
Beta blocker, n (%) | - | 17 (11.6 %) | 33 (23.6 %) | 0.005 |
Calcium channel blocker, n (%) | - | 26 (17.7 %) | 36 (25.7 %) | 0.065 |
Diuretics, n (%) | - | 7 (4.7 %) | 16 (11.4 %) | 0.030 |
Uric acid, mg/L | 5.45 ± 1.48 | 5.65 ± 1.44 | 5.60 ± 1.35 | 0.741 |
eGFR MDRD | 100.0 ± 24.2 | 96.0 ± 23.1 | 95.4 ± 27.4 | 0.467 |
Creatinine, mg/dL | 0.78 ± 0.20 | 0.89 ± 0.51 | 0.90 ± 0.61 | 0.331 |
Fasting glucose, mg/dL | 101 ± 14.7 | 100 ± 25.2 | 103 ± 23.4 | 0.645 |
Total cholesterol, mg/dL | 178 ± 44.3 | 190 ± 43.5 | 181 ± 38.2 | 0.124 |
LDL cholesterol, mg/dL | 102 ± 39.3 | 108 ± 35.6 | 102 ± 34.7 | 0.317 |
HDL cholesterol, mg/dL | 46.4 ± 13.7 | 50.3 ± 13.7 | 49.7 ± 12.2 | 0.194 |
Triglycerides, mg/dL | 127 ± 63.0 | 163 ± 173 | 149 ± 92.4 | 0.230 |
Hs-CRP, mg/dL | 0.11 ± 0.15 | 0.23 ± 1.04 | 0.39 ± 1.15 | 0.259 |
White blood cells, 103/μL | 7.05 ± 2.35 | 6.92 ± 2.06 | 7.49 ± 2.57 | 0.117 |
Hemoglobin, g/dL | 13.5 ± 1.5 | 13.8 ± 1.7 | 14.2 ± 1.5* | 0.008 |
Hematocrit, % | 40.0 ± 4.7 | 40.6 ± 4.9 | 41.8 ± 4.6* | 0.021 |
Platelets, 103/μL | 217 ± 52.9 | 226 ± 53.4 | 237 ± 61.1* | 0.028 |
Comparison of parameters of 24-hour ambulatory BP monitoring according to the diurnal variation
Control group (n = 71) | Dipper group (n = 147) | Non-dipper group (n = 140) | p-value (ANOVA) | |
|---|---|---|---|---|
24-hour HR, bpm | 70.0 ± 8.1 | 75.5 ± 10.8* | 74.6 ± 11.9* | 0.002 |
24-hour HR SD, bpm | 15.4 ± 6.6 | 16.0 ± 6.0 | 14.2 ± 6.9 | 0.064 |
Daytime HR, bpm | 73.4 ± 8.6 | 79.7 ± 11.6* | 76.9 ± 11.9 | <0.001 |
Nighttime HR, bpm | 60.9 ± 7.7 | 65.2 ± 7.9* | 65.9 ± 13.4* | <0.001 |
24-hour mean SBP, mmHg | 119.2 ± 7.7 | 141.1 ± 11.3* | 142.2 ± 14.6* | <0.001 |
24-hour mean DBP, mmHg | 74.8 ± 4.8 | 91.3 ± 9.6* | 89.0 ± 9.7* | <0.001 |
24-hour mean SBP SD, mmHg | 13.1 ± 3.5 | 15.3 ± 4.6* | 16.0 ± 3.7* | <0.001 |
24-hour mean DBP SD, mmHg | 10.7 ± 3.2 | 13.9 ± 3.8* | 13.0 ± 4.8* | <0.001 |
24-hour mean BP, mmHg | 89.3 ± 5.2 | 106.1 ± 10.7* | 108.2 ± 9.6* | <0.001 |
24-hour mean BP variation, mmHg | 11.2 ± 3.3 | 13.4 ± 4.9* | 14.0 ± 3.5* | <0.001 |
Daytime SBP, mmHg | 121.1 ± 7.8 | 146.2 ± 11.7* | 143.1 ± 14.4* | <0.001 |
Daytime DBP, mmHg | 76.9 ± 4.8 | 95.2 ± 9.8* | 90.1 ± 9.9*,** | <0.001 |
Daytime SBP SD, mmHg | 12.6 ± 4.1 | 13.9 ± 4.2 | 15.2 ± 4.9*,** | <0.001 |
Daytime DBP SD, mmHg | 10.6 ± 3.9 | 12.5 ± 4.7* | 12.8 ± 5.1* | <0.001 |
Daytime mean BP, mmHg | 91.1 ± 5.4 | 112 ± 9.8* | 107 ± 10.8*,** | <0.001 |
Daytime mean BP SD, mmHg | 10.7 ± 4.0 | 12.2 ± 4.3 | 12.9 ± 4.8*,** | 0.001 |
Nighttime SBP, mmHg | 111 ± 15.5 | 129 ± 12.1* | 139 ± 16.7*,** | <0.001 |
Nighttime DBP, mmHg | 70.1 ± 6.2 | 80.2 ± 12.0* | 85.7 ± 10.7*,** | <0.001 |
Nighttime SBP SD, mmHg | 10.3 ± 3.0 | 12.2 ± 3.9* | 12.8 ± 4.2* | <0.001 |
Nighttime DBP SD, mmHg | 8.5 ± 2.9 | 10.4 ± 3.7* | 10.5 ± 4.5* | <0.001 |
Nighttime mean BP, mmHg | 83.9 ± 6.9 | 95.8 ± 12.6* | 103 ± 11.8*,** | <0.001 |
Nighttime mean BP SD, mmHg | 8.8 ± 2.8 | 10.6 ± 3.6* | 10.7 ± 4.2*,** | <0.001 |
Day-night difference, mmHg | 8.1 ± 7.0 | 15.1 ± 8.3 | 3.4 ± 6.1*,** | <0.001 |
Comparison of exercise stress testing and echocardiographic parameters
Comparison of echocardiographic parameters according to the diurnal variation
Control group (n = 71) | Dipper group (n = 147) | Non-dipper group (n = 140) | p-value (ANOVA) | |
|---|---|---|---|---|
EFT, mm | 5.54 ± 2.06 | 6.57 ± 1.61* | 7.47 ± 2.93*,** | <0.001 |
LVEDD, mm | 46.0 ± 5.0 | 46.0 ± 5.2 | 45.8 ± 5.4 | 0.946 |
LVESD, mm | 29.1 ± 4.8 | 29.0 ± 4.7 | 29.0 ± 4.7 | 0.979 |
IVSTd, mm | 11.2 ± 2.2 | 12.4 ± 2.5* | 12.5 ± 2.8* | 0.004 |
PWTd, mm | 9.7 ± 2.1 | 10.5 ± 2.0* | 10.7 ± 1.9* | <0.001 |
LVMI, g/m2 | 103 ± 28.7 | 112 ± 26.4 | 114 ± 34.9* | 0.044 |
RWT | 0.43 ± 0.11 | 0.46 ± 0.11 | 0.47 ± 0.10* | 0.046 |
EF, % | 66.7 ± 6.5 | 66.9 ± 7.1 | 66.4 ± 7.7 | 0.839 |
LA volume, mL | 16.8 ± 7.8 | 16.7 ± 6.4 | 19.1 ± 7.7*,** | 0.022 |
E velocity, cm/sec | 0.67 ± 0.16 | 0.64 ± 0.14 | 0.67 ± 0.17 | 0.389 |
A velocity, cm/sec | 0.67 ± 0.17 | 0.65 ± 0.17 | 0.72 ± 0.22** | 0.023 |
EEa | 9.4 ± 2.4 | 8.9 ± 2.6* | 11.2 ± 4.8*,** | <0.001 |
Comparison of epicardial fat thickness (EFT) and heart rate recovery (HRR) according to the hypertension. EFT was significantly higher in hypertensive patients, especially with non-dipper group as compared to controls (a). HRR was significantly lower in both hypertensive groups as compared to the control group (b)
Comparison of symptom-limited exercise stress testing according to the diurnal variation
Control group (n = 71) | Dipper group (n = 147) | Non-dipper group (n = 140) | p-value (ANOVA) | |
|---|---|---|---|---|
Exercise time, min | 8.79 ± 2.02 | 7.84 ± 2.32* | 7.69 ± 2.39* | <0.001 |
Metabolic equivalents | 10.7 ± 2.3 | 9.7 ± 2.6* | 9.4 ± 2.6* | <0.001 |
Rest heart rate, bpm | 64.5 ± 13.3 | 65.8 ± 9.6 | 68.2 ± 12.5 | 0.061 |
Max heart rate, bpm | 156 ± 26.4 | 162 ± 19.6 | 155 ± 24.2 | 0.064 |
HRR, bpm | 71.7 ± 19.8 | 28.3 ± 21.1* | 26.6 ± 19.4* | <0.001 |
Blunted HRR | 0 | 43 (29.3 %)* | 42 (30 %)* | <0.001 |
Rest systolic BP, mmHg | 117 ± 11.5 | 135 ± 14.6* | 134 ± 16.7* | <0.001 |
Rest diastolic BP, mmHg | 70.7 ± 10.0 | 78.4 ± 14.3* | 78.1 ± 13.1* | <0.001 |
Max systolic BP, mmHg | 166 ± 23.1 | 185 ± 20.9* | 181 ± 24.8* | <0.001 |
Max diastolic BP, mmHg | 79.7 ± 12.9 | 86.5 ± 13.8* | 85.5 ± 16.4* | 0.005 |
Correlations between HRR or EFT and clinical parameters
Correlations between epicardial fat thickness (EFT) or heart rate recovery (HRR) and clinical parameters. HRR was significantly negatively correlated with EFT (a), 24-hour mean systolic BP (b), 24-hour mean diastolic BP (c), and 24-hour mean BP SD (d)
Correlations between heart rate recovery (HRR) or epicardial fat thickness (EFT) and clinical parameters in the study groups
HRR | Blunted HRR | EFT | ||||
|---|---|---|---|---|---|---|
r | p | r | p | r | p | |
Age, years | −0.033 | 0.541 | 0.041 | 0.443 | 0.123 | 0.035 |
Female gender | 0.083 | 0.120 | −0.045 | 0.397 | 0.133 | 0.021 |
Body mass index | −0.078 | 0.145 | 0.003 | 0.960 | 0.110 | 0.040 |
Left ventricular mass index | −0.023 | 0.686 | −0.125 | 0.025 | −0.016 | 0.790 |
Relative wall thickness | −0.096 | 0.089 | −0.046 | 0.413 | 0.085 | 0.157 |
Hs-CRP | −0.120 | 0.065 | 0.035 | 0.589 | 0.118 | 0.093 |
Exercise duration | 0.034 | 0.533 | −0.003 | 0.953 | −0.119 | 0.038 |
Metabolic equivalents | −0.004 | 0.943 | −0.001 | 0.989 | −0.144 | 0.012 |
Maximal SBP during exercise | −0.127 | 0.018 | −0.065 | 0.222 | −0.042 | 0.471 |
Maximal DBP during exercise | −0.008 | 0.887 | −0.071 | 0.181 | −0.081 | 0.161 |
24-hour mean SBP | −0.343 | <0.001 | 0.139 | <0.001 | 0.157 | 0.006 |
24-hour mean DBP | −0.255 | <0.001 | 0.137 | <0.001 | 0.005 | 0.927 |
24-hour mean heart rate | −0.149 | 0.005 | 0.129 | 0.015 | 0.025 | 0.666 |
24-hour mean BP SD | −0.251 | <0.001 | 0.213 | <0.001 | 0.148 | 0.010 |
Fasting glucose | −0.070 | 0.262 | 0.018 | 0.772 | −0.040 | 0.548 |
Low density lipoprotein | 0.044 | 0.463 | −0.029 | 0.630 | 0.010 | 0.879 |
High density lipoprotein | −0.071 | 0.235 | 0.077 | 0.194 | −0.081 | 0.208 |
Triglycerides | −0.036 | 0.543 | −0.055 | 0.349 | −0.042 | 0.514 |
eGFR MDRD | 0.109 | 0.068 | −0.033 | 0.579 | −0.087 | 0.184 |
HRR | 1 | −0.720 | <0.001 | −0.309 | <0.001 | |
EFT | −0.309 | <0.001 | 0.238 | <0.001 | 1 | |
Receiving operator characteristic curve analysis of cutoff value of epicardial fat thickness (EFT) for predicting blunted heart rate reserve (HRR). EFT > 6.7 mm was associated with the blunted HRR with 76 % sensitivity and 61 % specificity
Binary regression analysis for the heart rate recovery in study groups
Predictors | Odd ratio | 95 % confidence interval | p-value |
|---|---|---|---|
Age | 1.00 | 0.98 to 1.02 | 0.917 |
Body mass index | 0.97 | 0.90 to 1.05 | 0.418 |
Epicardial fat thickness | 3.53 | 1.20 to 10.37 | 0.022 |
Presence of diabetes mellitus | 1.15 | 0.43 to 3.11 | 0.783 |
24-hour mean blood pressure variation | 1.09 | 1.03 to 1.16 | 0.005 |
24-hour mean systolic blood pressure | 1.00 | 0.97 to 1.04 | 0.859 |
24-hour mean diastolic blood pressure | 0.99 | 0.95 to 1.03 | 0.644 |
Discussion
This is the first study investigating the association between EFT and HRR from symptom-limited exercise testing in hypertensive patients according to the diurnal variation within our knowledge. The most relevant findings obtained from this study are as follows: 1) epicardial fat was thickest in the non-dipper group, 2) HRR was lower in hypertensive patients, 3) there was a significant correlation between EFT and HRR, and HRR was also significantly correlated with 24-hour mean systolic/diastolic BP variability and 4) EFT and circadian BP variability were independent predictors of blunted HRR in patients with hypertension. Our findings suggest a possible link between epicardial fat and autonomic dysregulation in hypertension.
Abnormalities of the autonomic nervous system play a fundamental role in BP regulation, and the majority of hypertensive patients have increased sympathetic activity along with diminished parasympathetic tone. Furthermore, the lack of a decrease in nocturnal BP is associated with severe end-organ damage and an increased risk of cardiovascular events, especially in hypertensive patients [1, 2]. Although the underlying mechanisms for a blunted nocturnal fall in BP are still uncertain, non-dippers are suggested to show impairment in the autonomic system that includes abnormal parasympathetic and increased sympathetic nervous system activity [3, 4, 23]. Therefore, a novel, non-invasive risk assessment tool that is affected by the same physiological mechanism as circadian BP rhythm would be useful to identify patients who might have impaired nocturnal BP patterns.
Recently, epicardial adipose tissue has been found to reflect visceral adiposity and has been proposed as a new cardiometabolic risk factor, carrying more risk than general fat accumulation [11–13]. Several reports have found a possible association between epicardial fat and hypertension, and increased EFT was independently associated with blunted nocturnal BP fall in hypertensive individuals [15, 16]. Increased plasma fatty acid levels may stimulate the cardiac autonomic nervous system through an increase in plasma catecholamine levels, which may be related to impaired diurnal BP patterns. Consequently, there might be a possible correlation between EFT and circadian BP variability in hypertensive patients.
Generally, an increase in HR during exercise occurs as a result of the combination of sympathetic activation and parasympathetic withdrawal. In contrast, parasympathetic reactivation is the principal determinant of the decrease in HR during early recovery, and this mechanism is independent of age and the intensity of exercise [24]. Given the prognostic significance of diminished parasympathetic tone at rest, post-exercise HRR is a noninvasive method that enables assessment of parasympathetic activation [24, 25]. Hence, we might estimate that parasympathetic “insufficiency” is implicated in the increased mortality risk in patients with abnormal HRR [8, 9, 24, 26]. Because HRR is simple to calculate from data obtained from standard exercise tests and does not require either 24-hour Holter monitoring or specialized baroreflex-sensitivity testing, HRR may be valuable for the assessment of risk in routine clinical practice. Considering non-dippers show impairment in the autonomic system that includes abnormal parasympathetic and increased sympathetic nervous system activity, we propose a correlation between blunted HRR and an increased EFT according to the diurnal variation. In our results, EFT was greatest in patients with a non-dipping BP pattern, and there was significant correlation between EFT and HRR, as expected. Although HRR was significantly correlated with 24-hour mean systolic/diastolic BP variability, HRR was slower in both hypertensive dipper and non-dipper groups compared to the normotensive controls. These findings suggest that an increase in cardiac sympathetic activity rather than diminished parasympathetic tone might be the dominant feature of the non-dipping pattern. Moreover, EFT and circadian BP variability were independent predictors of the blunted HRR in patients with hypertension, which implicates a link between epicardial fat and autonomic dysregulation in hypertension. In our study, we also found a significant association between EFT and exercise capacity. Considering the prognostic significance of blunted HRR or exercise capacity, our results might suggest a role of EFT in the adverse outcomes in hypertensive patients. However, prognostic implications of blunted HRR in this particular patient population was beyond the scope of our study.
Our study has several limitations. First, to decrease the effect of ischemic symptoms after the termination of exercise test, we excluded patients with a history of heart failure, revascularization, or a positive result of an exercise test. However, the presence of coronary artery disease was excluded using only exercise testing, and further stress imaging modalities were not used. Second, because this study was performed at a single tertiary care center, there might be biases in patient referral and population sampling. Moreover, previous hypertensive medications might have an important impact on the BP variability and HRR. In order to account for these possible confounding effects, we performed sensitivity analysis for the binary regression analysis according to the use or nonuse of medications; the results were not different. Finally, EFT can be affected by metabolic syndrome, however, we do not check the waist circumference from the enrolled patients, so the metabolic syndrome cannot be defined from this result. However, regarding the significant correlation between EFT and obesity represented by BMI or EFT and 24-hour mean SBP, we can imagine the possible association between metabolic syndrome and EFT.
Conclusions
In conclusion, EFT, an indicator of cardiac autonomic activity, was greatest in hypertensive patients with a non-dipping pattern, and impaired HRR, an indicator of abnormal parasympathetic reactivation, was observed in hypertensive patients regardless of nocturnal BP patterns. There was a significant correlation between EFT and HRR, and EFT and circadian BP variability were independent predictors of blunted HRR in patients with hypertension. Our data suggest that there is a cross link between epicardial fat and autonomic dysregulation in hypertension. The association between EFT and adverse cardiovascular outcomes in patients with blunted HRR needs to be investigated in further detail in future research.
Declarations
Acknowledgements
None
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