Influence Of Two Exercise Programs On Heart Rate Variability, Body Temperature, Central Nervous System Fatigue, And Cortical Arousal After A Heart Attack Part 1
Oct 09, 2023
Abstract: Cardiovascular diseases (CVD) are the leading cause of death globally. Cardiac rehabilitation (CR) programs’ benefits are overall consensual; however, during exercise, progressive physiological effects have not been studied yet in cardiac patients. Our study aims to analyze physiological parameters of thermography, heart rate variability (HRV), blood pressure, central nervous system (CNS) fatigue, and cortical arousal in heart attack patients (HAP) who belong to CR programs of High-Intensity Interval Training (HIIT) and Moderate-intensity Continuous Training (MICT) compared to healthy participants. In this case-control study, two HAP patients (both male, age 35 and 48, respectively) and two healthy people (both male, age 38 and 46, respectively) were randomly assigned in a 1:1:1:1 allocation ratio to one of four groups: cardiac MICT, cardiac HIIT, control MICT, and control HIIT. The HIIT at ≈85–95% of peak heart rate (HR) was followed by a one-minute recovery interval at 40% peakHR, and MICT at ≈70–75% of peakHR. Outcome measurements included thermography, HRV, blood pressure, CNS fatigue, and cortical arousal; The HAP presents more than twice the CNS fatigue in MICT than control participants, but HIIT has almost the same CNS fatigue in HAP and control. In addition, both of the HAP groups presented higher temperatures in the chest. The HIIT protocol showed better physiological responses during exercise, compared to MICT in HAP.
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Keywords: cardiovascular diseases; heart rate variability; thermography; central nervous system fatigue; prognosis
1. Introduction
According to the World Health Organization (WHO) [1], cardiovascular diseases (CVD) are the number one cause of death globally. An estimated 17.9 million people died from CVD in 2019, representing 32% of all global deaths worldwide. Of these deaths, 85% were due to heart attack and stroke [1]. In 2019, there were 3.9 million deaths resulting from CVD in Europe, which corresponded to 45% of all deaths, considerably higher than the second most prevalent cause of death, cancer [2]. Furthermore, out of the 17 million premature deaths (under the age of 70) due to noncommunicable diseases in 2019, 38% were caused by CVD [1].
Cardiac rehabilitation (CR) is a multidisciplinary process for patients recovering after an acute cardiac event or chronic cardiovascular disease that reduces mortality and morbidity and improves the quality of life [3]. CR is the gold standard treatment for excellent recovery, not only physical but also mental and social after a cardiac episode so that their inclusion in daily life can be as normalized as possible; however, there is poor adherence to these types of programs, which could condition the recovery of patients [4], being that only 10% of patients with a CR indication attend these types of programs [5]. Two types of training are currently used in CR programs. Moderate-intensity continuous training (MICT) is routinely prescribed for cardiac patients in CR. Typically, the upper limit of intensity that is prescribed during the early stages of phase II cardiac rehab is 60–70% of heart rate reserve. This exercise intensity is performed continuously for 10–30 min, depending on endurance and as tolerated by the patient [6]. High-intensity interval training (HIIT) has been used as an effective type of training in healthy adults for many years. However, routine implementation of HIIT into CR programs for higher-risk cardiac patients has yet to be established. Recent clinical studies [7–9] have implemented HIIT into CR programs. The HIIT program allows patients to work at a higher intensity for two to three minutes while alternating with recovery intervals at a moderate intensity. In these clinical studies, work intervals ranged from an intensity of 80–95% of heart rate reserve, and rest intervals ranged from 50–70% of heart rate reserve with a duration of 30–45 min per rehab session [7–9]. A recent meta-analysis that evaluated 16 studies (n = 969 patients) concluded that studies would benefit from being between moderate-to-vigorous and vigorous-intensity [10].
Hypertension, hyperlipidemia, diabetes, and obesity are cardiovascular risk factors that can be reduced with this type of exercise program [11,12], and which consequently influence the reduction of chronic systemic inflammation [13], which is an important risk factor for CVD [14]. The practice of regular exercise is associated with anti-inflammatory effects that are beneficial for health, mainly in patients with CVD, causing decreased levels of serum C-reactive protein [12], better cardiac output [15], stroke volume [15], vascular endothelial function [9], and changes in heart rate variability [16].
CR programs’ benefits are internationally consensual [1,2], but during the exercise, progressive physiological effects occur on the body temperature, heart rate variability (HRV), blood pressure, and cortical arousal, which have not been studied yet in CR programs. The real question is, what are the physiological differences between cardiac patients and healthy people during exercise, and is it possible to predict the appearance of the disease in people who are clinically healthy or who present an equivocal cardiac clinical condition?
New evaluation and control methods are applied to different sports areas such as performance, but also health. One of these is the analysis of the HRV as a tool to understand the autonomous nervous system status and response to different stimuli [17, 18], facts directly related to heart and cardiovascular pathologies [19]. The analysis of HRV is based on the study of differences in milliseconds (ms) between RR waves of the electrocardiogram; then, using linear, frequency, or nonlinear analysis methods, we can analyze the autonomic nervous system response [20,21]. The other method is the use of thermography analysis, which allows us to study microcirculation abnormalities and capillarity disorders to prevent injuries and detect them in the early stages [22,23].
This case-control study aims to analyze the physiological parameters of thermography, HRV, blood pressure, and cortical arousal in cardiac patients who belong to CR programs of HIIT and MICT, compared to healthy participants.
2. Materials and Methods
2.1. Participants
Two patients were recruited within the cardiology unit of the Hospital of Évora (Portugal). Two patients who had undergone a heart attack and were referred by their cardiologist to the cardiac rehabilitation (CR) phase III, two months after angioplasty and low-risk medical recommendations, were evaluated for inclusion in this case-control study. The inclusion criteria were age 18–80 years, who had left ventricular ejection fraction ≥ 45%, and were New York Heart Association (NYHA) functional Class I, II, or III. In addition, patients were excluded from the study if the following criteria were met: severe exercise intolerance, uncontrolled arrhythmia, uncontrolled angina pectoris, severe kidney or lung diseases, musculoskeletal or neuromuscular conditions preventing exercise testing or training, and signs or symptoms of ischemia. The control group included two healthy participants without cardiovascular diseases.
Randomization and Masking
This case-control study had four participants, two HAP patients (both male, age 35 and 48, respectively) and two healthy controls (both male, age 38 and 46, respectively) who were randomly assigned in a 1:1:1:1 allocation ratio to one of four groups: cardiac HIIT (n = 1), cardiac MICT (n = 1), control HIIT (n = 1), and control MICT (n = 1) (Table 1). All groups are comparable in age and weight, and the two heart attack patients (HAP) were similar in the extent of coronary artery disease, coronary risk factors, type of coronary event, or left ventricular ejection fraction (Table 1).
2.2. Outcome Measures and Assessments
2.2.1. Exercise Testing
Initially, participants read and signed an informed consent form on the first visit, and the two HAPs were submitted to a clinical evaluation performed by a cardiologist. A supervised graded exercise test to record volitional fatigue, risks, or symptoms of ischemia was performed on a treadmill, using the Bruce protocol, before the intervention. The test was done in non-fasting conditions and under medication. Electrocardiography was recorded continuously, and blood pressure was measured with an arm cuff every 3 min.
2.2.2. Thermography, Heart Rate Variability, and Cortical Arousal
On the second visit, each participant completed a standardized questionnaire including demographic data, medical history, medication use, family history of CVD, and smoking status; then, the peripheral vascular response was collected using a thermography system in two different moments: pre- and post-treadmill protocol. All thermal images were collected in compliance with the European Association of Thermology guidelines [24]. The thermograms of each participant were obtained in a room with a controlled and constant temperature of 20 ◦C and 40% humidity. Participants were in the test room 20 min before the data collection to acclimatize, and all the data collection occurred in the morning to control circadian rhythms [25]. To analyze the thermographic images, we divided the body into different sections: head, chest, abdomen, right arm, right hand, left arm, left forearm, and left hand. The analysis of the skin surface temperature was conducted by locating the middle point of each body section, and through a circle at the center of each dorsal and palmar hand (diameter 70 × 70 mm), following previous procedures [26].
The Heart Rate Variability (HRV) was measured by an H10 chest strap (Polar ©nc., Kempele, Finland) and recorded using an RS800CX monitor (Polar Inc., Kempele, Finland). This wireless device was placed below the participants' chest muscles, allowing a reliable recording [27]; then, the Kubios HRV software (v. 3.3) [28] was used to pre-process and analyze the HRV data. A median filter was applied to correct possible artifacts. This filter allows the identification of RR intervals shorter/longer than 0.25 s, compared to the average of the previous beats. Correction replaces the identified artifacts with cubic spline interpolation. All HRV indices were extracted using the MATLAB Release 2019a (The MathWorks, Inc., Natick, MA, USA). Time-domain, frequency-domain, and nonlinear measures were extracted. For this study, we only considered the time domain and non-linear domains. The following metrics were calculated:
• Time-Domain Analysis: (a) square root of differences between adjacent RR intervals (RMSSD);
• Non-linear analyses) non-linear metrics: the RR variability from heartbeat to short term Poincaré graph (width) (SD1), the RR variability from heartbeat to long-term Poincaré graph (length) (SD2), short-term fluctuation of the detrended fluctuation analysis (alpha-1), long-term fluctuation of the detrended fluctuation analysis (alpha-2), and the sample entropy (SampEn), which measures the regularity and complexity of a time series.
The cortical arousal was measured by the critical flicker fusion threshold (CFFT) by a Lafayette Instrument Flicker Fusion Control Unit model 12,021 (Lafayette, IN, USA), using standards protocols previously used [29]. Participants were familiarized with the procedure by performing practice trials before testing. The practice was before the basal sample, in line with previous studies [17]. Three ascending trials were carried out; in each one, time was quantified as the amount of time that a student took to detect the changes in the lights from the beginning of the test until the moment of pressing a button [30]. We used the critical flicker fusion threshold (CFFT) in this research since it has been widely used in different contexts, such as education, pharmacy, sports, and military, and to evaluate cortical arousal and central fatigue [31–36].
Finally, the perception of fatigue was measured by a visual analog scale (VSA) wherein the subjective fatigue was scaled to a 0–100 scale, 0 being no fatigue and 100 being extreme fatigue following a similar VSA [37].
2.3. Protocol and Experimental Procedures
Regarding assessment procedures, participants had to rest for 15 min before baseline HRV collection in a sitting position, as recommended [38,39]. After 15 min at rest, 5 min of baseline was collected. Blood pressure, CNS fatigue, and cortical arousal were measured at the commencement and the end of the session. The peripheral vascular response by thermography was collected at two different moments: pre- and post-treadmill protocols. The heart rate variability was collected: pre-, during, and post-treadmill protocols (Figure 1). Subsequently, participants performed an aleatory treadmill session of a CR program (HIIT and MICT), supervised by a physiologist (Figure 1).
The assessments and data acquisition were performed by an external agent who was trained to do so so that the researchers were blinded in the management of the data.
Training sessions on the treadmill were initiated with a 5–10 min warm-up at 50–60% peak Heart Rate (peakHR) and ended with 5 min of cool-down at 40% peakHR. The HIIT trial involved a total of 20 min at 85–95% peakHR, followed by a one-minute recovery interval at 40% peakHR, predicted with a supervised graded exercise test on a treadmill, using the Bruce protocol. During the high-intensity exercises, the participants were motivated to gradually increase their exercise intensity toward 15–17 on the Borg scale. The MICT protocol consisted of a continuous bout of moderate-intensity exercise to elicit 70–75% peakHR for 27.5 min, to equate the energy expenditure with the HIIT protocol (Figure 2).
As training intensity increased, the patient's heart rate, rate of perceived exertion (Borg scale), and cardiac symptoms were also taken into consideration.
2.4. Ethical Considerations
All work was conducted following the Declaration of Helsinki and registered at ClinicalTrials.gov (NCT03538119). Ethics approval was obtained from the University of Evora Ethics Committee (reference number: 17039). All participants signed a written informed consent before participating in this study.
3. Results
3.1. Thermography
Before starting the protocols on the treadmill, the temperature was quite similar between the HAP and healthy participants' groups. From pre- to post-protocols, there was always a decrease in temperature in all body variables evaluated in the study, except for the temperature of the right hand, where both HIIT groups increased temperature (temperature difference: 0.8 ± 0.5 ◦C in HAP vs. 1.0 ± 0 ◦C in control). In contrast, the MICT groups maintained the temperature from pre- to post-protocol. The same was not observed in the temperature of the left hand, which remained the same (Table 2, Figure 3).
The temperature difference in the chest was greater in patients with adverse cardiac events than in patients without events (temperature difference: 2.3 ± 1.2 ◦C in HIIT vs. 3.0 ± 1.6 ◦C in MICT). In the groups of healthy participants, the temperature remained practically the same. There was also a greater difference in temperature in the abdomen in the MICT group (temperature difference: 3.7 ± 1.8 ◦C in the HAP vs. 2.8 ± 0.0 ◦C in the control group) compared to the HIIT group (temperature difference: 1.5 ± 1.0 ◦C in the HAP vs. 1.0 ± 0.0 ◦C in control) (Table 2).
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