Literature DB >> 33634477

Prognostic impact of peak oxygen uptake and heart rate reserve in patients after off-pump coronary artery bypass grafting.

Abidan Abulimiti1,2, Miho Nishitani-Yokoyama1,3, Kazunori Shimada1,2,3, Mitsuhiro Kunimoto1, Tomomi Matsubara1, Kei Fujiwara1, Tatsuro Aikawa1, Shohei Ouchi1, Yurina Sugita1, Kosuke Fukao1, Tomoyasu Kadoguchi2, Tetsuro Miyazaki1, Akie Shimada4, Taira Yamamoto4, Tetsuya Takahashi5, Toshiyuki Fujiwara5,6, Tohru Asai4, Atsushi Amano4, Hiroyuki Daida1,2,5, Tohru Minamino1.   

Abstract

BACKGROUND: Peak oxygen uptake (peak VO2 ) and heart rate reserve (HRR) are independent prognostic markers of cardiovascular disease. However, the impact of peak VO2 and HRR on long-term prognosis after off-pump coronary artery bypass grafting (OP-CABG) remains unclear. HYPOTHESIS: To determine the prognostic impact of peak VO2 and HRR in patients after OP-CABG.
RESULTS: We enrolled 327 patients (mean age, 65.1 ± 9.3 years; male, 80%) who underwent OP-CABG and participated in early phase II cardiac rehabilitation. All participants underwent cardiopulmonary exercise testing (CPET) at the beginning of such rehabilitation. Overall, 48 (14.6%) patients died during the median follow-up period of 103 months. The non-survivor had significantly lower levels of peak VO2 (10.6 ± 0.5 vs. 13.7 ± 0.2 ml/kg/min, p < .01) and HRR (24.2 ± 1.8 vs. 32.7 ± 0.8 beats/min, p < .01) than the survivor. In both groups, peak VO2 significantly correlated with HRR (p < .01). Moreover, patients were divided into four groups according to the peak VO2 and HRR levels for predicting total mortality. The low-peak VO2 /low-HRR group had a significantly higher mortality risk than the other groups (hazards ratio, 5.61; 95% confidence interval, 2.59-12.16; p < .01). After adjusted the confounding factors, peak VO2 and HRR were independently associated with total mortality (both p < .05).
CONCLUSIONS: HRR is a simple parameter of CPET and an important prognostic marker for the risk stratification of total mortality even in patients with low-peak VO2 after OP-CABG.
© 2021 The Authors. Clinical Cardiology published by Wiley Periodicals LLC.

Entities:  

Keywords:  cardiopulmonary exercise test; heart rate reserve; off-pump coronary artery bypass grafting; peak oxygen uptake

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Substances:

Year:  2021        PMID: 33634477      PMCID: PMC8027571          DOI: 10.1002/clc.23579

Source DB:  PubMed          Journal:  Clin Cardiol        ISSN: 0160-9289            Impact factor:   2.882


INTRODUCTION

Cardiopulmonary exercise testing (CPET) with peak oxygen uptake (peak VO2) measurement is increasingly performed in patients with cardiovascular disease. Peak VO2 is one of the superior measurements for assessing cardiovascular fitness and aerobic capacity. Consistently, peak VO2 is inversely and independently associated with cardiovascular events, cardiovascular mortality, and total mortality in large‐scale cohorts and patients with cardiovascular diseases. , , Currently, one of the established methods of coronary artery bypass grafting for patients with coronary artery disease is off‐pump coronary artery bypass grafting (OP‐CABG). OP‐CABG has been increasingly practiced in Japan, especially since 2000, with an annual increasing rate of >60%. However, cardiac autonomic function impairment and an increasing incidence rate of chronotropic incompetence have been observed in patients after OP‐CABG and on‐pump CABG as adverse effects of anesthesia methods and surgical techniques. OP‐CABG related factors such as thoracic content manipulation and post‐procedure bed rest contribute to the deleterious alterations in cardiac autonomic function. Heart rate response, which is a simple and easily obtained marker of cardiac autonomic function, is a powerful prognostic marker of coronary artery disease, independent of anti‐arrhythmic medication. Heart rate reserve (HRR) is a basic indicator of heart rate response that can predict the adverse outcomes of heart failure. However, the impact of peak VO2 and HRR on long‐term prognosis after OP‐CABG remains unclear. Therefore, we aimed to assess the prognostic impact of peak VO2 and HRR in patients after OP‐CABG.

METHODS

Study cohort

This was a retrospective study. We identified 327 consecutive patients who underwent OP‐CABG and participated in acute phase and early phase II cardiac rehabilitation at Juntendo University Hospital between July 2002 and February 2005. All eligible patients received standardized anesthesia and surgical management. The exclusion criteria consisted of uncontrolled arrhythmia that cause symptoms or hemodynamic compromise and uncontrolled symptomatic heart failure. In this study, diabetes mellitus was defined as a previous diagnosis, as shown in the medical records, with a hemoglobin A1c level of ≥6.5% or treatment with oral anti‐diabetic agents or insulin. Dyslipidemia was defined as a previous diagnosis with abnormal lipid profiles (triglyceride level ≥ 150 mg/dl, low‐density lipoprotein cholesterol level ≥ 140 mg/dl, or high‐density lipoprotein cholesterol level < 40 mg/dl) or treatment with anti‐dyslipidemic agents. In addition, hypertension was defined as a previous diagnosis with a systolic blood pressure of ≥140 mmHg and/or diastolic blood pressure of ≥90 mmHg or treatment with antihypertensive agents. All patients provided written informed consent, and the ethical committee of the institution approved this study.

Rehabilitation protocol

After undergoing OP‐CABG, all patients participated in acute phase and early phase II cardiac rehabilitation program. The early phase II cardiac rehabilitation exercise intensity was prescribed individually at the anaerobic threshold level, as measured by CPET using expiratory gas analysis or a rating of 11–13 on a standard Borg's perceived exertion scale, as we described previously.

Measurements

Information on the clinical characteristics of the patients, including age, gender, risk factors, medical history, and concomitant use of medications, was obtained from their electronic medical records. We collected the data from the time closest to the start of the CR when multiple data were available for each patient. Laboratory data were collected after admission in the early morning after overnight fasting. At the start of cardiac rehabilitation from 6 to 8 days after OP‐CABG, we assessed the patients' anthropometric parameters, muscle strength, and exercise tolerance. Using the BOD POD (Life Measurement, Inc., Concord, CA), we measured bioelectrical impedance to determine the body fat and lean body mass. To measure peak VO2, patients underwent ergometric testing using Corival 400 (Lobe B.V. Groningen, Netherlands) with Vmax‐295 expiratory gas analyzer (SensorMedics Co., Yorba Linda, CA), as reported previously. After obtaining the resting heart rate in the sitting position during a 4 min rest, the patients warmed up for a few minutes at 20 W, followed by ramp loading (15 W/min) until they felt exhausted or experienced progressive angina, ST‐segment depression (≥2 mm), or sustained tachyarrhythmia. A standard 12‐lead electrocardiogram was continuously recorded. A satisfactory endpoint of CPET was characterized by a respiratory exchange ratio of greater than 1.10. The level of peak VO2 was defined as the highest peak VO2 achieved during the exercise, which was decided by well‐trained physicians who performed CPET on a clinical practice. We used the Cybex770 system (Cybex Division of Lumex, Ronkonkoma, NY) to measure the thigh muscle power. , Knee extensor and flexor muscles constitute the lower‐limb muscle strength, and the isokinetic peak torques of both muscles were measured at 60°/s and adjusted by body weight according to the following formula: strength (Nm) × 100/body weight (kg). , We also measured the grip strength, which represents the power of the handgrip. The HRR was calculated as the difference between peak and resting heart rates during CPET.

Follow‐up

After the initial assessment, all patients were followed up until the occurrence of total mortality or end of follow‐up (July 31, 2012). The outcome variable, total mortality, was ascertained from the electronic medical record, telephone call and patients letter. Total mortality was censored by cardiovascular and non‐cardiovascular deaths. All the study subjects were under continuous surveillance for the development of each of events.

Statistical analysis

All values are presented as mean ± SD. The groups were compared using the Student's t‐test, Mann–Whitney U test, or chi‐square test, as appropriate. Correlations between the CPET variables were assessed using Pearson's correlation coefficient. The association between variables and the end point of total mortality were assessed by univariate Cox proportional hazards analysis. Subsequently, parameters that significantly showed patients' prognosis according to univariate analysis were examined by multivariate Cox proportional hazards analysis using a stepwise forward method to assess their independent effects. To compare the analytical accuracy of the different parameters, we calculated the areas under the curve (AUC) for sensitivity and specificity through receiver‐operating characteristic (ROC) analysis. The four‐group combined peak VO2 and HRR were analyzed using one‐way ANOVA for continuous variables and the chi‐square test for categorical variables. Data were analyzed using Statistical Package for Social Sciences software, version 23.00 (Statistical Package for Social Sciences Inc, Chicago, IL). Statistical significance was defined as p < .05.

RESULTS

Clinical characteristics between the survivor and non‐survivor groups

The mean age of all patients was 65.1 ± 9.3 years, and 264 (80%) of them were males. The median and maximum follow‐up duration were 103 and 122 months, respectively. The survivor group was composed of 279 patients (85%), whereas the non‐survivor group was composed of 48 patients (15%). Eighteen patients (38%) had a cardiovascular death, and 30 (62%) had a non‐cardiovascular death. Table 1 summarizes the patients' characteristics of the study populations. The non‐survivor group was significantly older, had significantly lower levels of body mass index, hemoglobin, and albumin, and had significantly higher creatinine levels than the survivor group. The non‐survivor group also had lower levels of body fat mass, lean body mass, lower‐limb muscle strength, and grip strength than the survivor group. In addition, the levels of peak VO2 and HRR were significantly lower in the non‐survivor group than in the survivor group. After correlation analysis, the peak VO2 levels significantly correlated with HRR in the survivor (r = 0.56, p < .01) and non‐survivor (r = 0.70, p < .01) groups (Figure 1).
TABLE 1

Clinical characteristics

CharacteristicsSurvivors (n = 279)Non‐survivors (n = 48)p value
Age (years)63.5 ± 9.268.9 ± 9.0<.01
Male (%)228 (81)36 (75).28
BMI (kg/m2)23.6 ± 2.621.9 ± 3.1<.01
Hypertension (%)190 (70)34 (72).73
Dyslipidemia (%)182 (68)28 (58).21
Diabetes mellitus (%)143 (53)29 (60).33
Smoking (%)120 (45)22 (51).48
Family history of CVD (%)60 (24)12 (27).58
Prior myocardial infraction (%)59 (23)14 (35).10
Laboratory data
Hemoglobin (g/dl)13.3 ± 1.411.8 ± 1.7<.01
Albumin (g/dl)4.2 ± 0.43.9 ± 0.5<.01
Creatinine (mg/dl)1.1 ± 1.41.9 ± 2.1<.01
Triglyceride (mg/dl)143 ± 76130 ± 76.84
LDL‐C (mg/dl)112 ± 37116 ± 40.70
HDL‐C (mg/dl)47 ± 1250 ± 16.53
Fasting plasma glucoses (mg/dl)137 ± 56135 ± 51.48
HbA1c (%)6.2 ± 1.46.0 ± 1.2.35
Diseased vessel
1–2 vessel disease (%)71 (29)11 (26).89
3 vessel disease (%)126 (51)24 (57).41
Left main trunk (%)50 (20)5 (17).22
LVEF (%)60 ± 1656 ± 15.93
Medications
Aspirin (%)264 (95)45 (96).90
ACE‐I/ARB (%)32 (11)3 (6).29
β‐blockers (%)67 (24)12 (26).84
Statin (%)57 (17)9 (15).76
Oral anti‐diabetic (%)73 (26)11 (23).46
Insulin (%)44 (16)8 (17).84
Anthropometric parameters
Body fat mass (kg)12.7 ± 4.610.2 ± 5.0<.01
Lean body mass (kg)49.4 ± 8.544.8 ± 6.9<.01
Muscle strength
Lower limb muscle strength (Nm/kg × 100)143.1 ± 41.7112.1 ± 43.3<.01
Grip strength (kg)30.0 ± 7.922.0 ± 9.3<.01
Exercise capacity
Peak VO2 (ml/kg/min)13.7 ± 3.910.6 ± 3.1<.01
HRR (beats/min)32.7 ± 13.924.2 ± 12.4<.01

Abbreviations: ACE‐I, angiotensin‐converting enzyme inhibitors; ARB, angiotensin receptor blocker; BMI, body mass index; CVD, cardiovascular disease; HbA1c, hemoglobin A1c; HDL‐C, high‐density lipoprotein cholesterol; HRR, heart rate reserve; LDL‐C, low‐density lipoprotein cholesterol; LVEF, left ventricular ejection fraction; Peak VO2, peak oxygen consumption.

FIGURE 1

Correlation between peak VO2 and HRR. HRR, heart rate reserve; Peak VO2, peak oxygen uptake

Clinical characteristics Abbreviations: ACE‐I, angiotensin‐converting enzyme inhibitors; ARB, angiotensin receptor blocker; BMI, body mass index; CVD, cardiovascular disease; HbA1c, hemoglobin A1c; HDL‐C, high‐density lipoprotein cholesterol; HRR, heart rate reserve; LDL‐C, low‐density lipoprotein cholesterol; LVEF, left ventricular ejection fraction; Peak VO2, peak oxygen consumption. Correlation between peak VO2 and HRR. HRR, heart rate reserve; Peak VO2, peak oxygen uptake

Cumulative event‐free survival rates based on peak VO levels and HRR

We performed ROC analysis to determine the optimal cutoff values on peak VO2 and HRR for indicating total mortality. ROC curve analysis estimated that peak VO2 cutoff value of 12.0 ml/kg/min yielded a sensitivity of 75% and a specificity of 65% (AUC, 0.74; 95% confidence interval, 0.67–0.81; p < .01), while the HRR cutoff value of 27.5 beats/min yielded a sensitivity of 71% and specificity of 67% (AUC, 0.69; 95% confidence interval, 0.61–0.77; p < .01). According to Kaplan–Meier curves, patients with low levels of peak VO2 (hazard ratio 4.84; 95% confidence interval, 2.34–9.99; p < .01) and HRR (hazard ratio, 3.34; 95% confidence interval, 1.79–6.24; p < .01) had higher risks of total mortality than those with high levels (Figure 2(A),(B)).
FIGURE 2

Prognostic implication of CPET variables. Event free survival shown by Kaplan–Meier method. (A) Peak VO2. (B) HRR. (C) Combined model of peak VO2 and HRR. CPET, cardiopulmonary exercise testing; HRR, heart rate reserve; Peak VO2, peak oxygen uptake

Prognostic implication of CPET variables. Event free survival shown by Kaplan–Meier method. (A) Peak VO2. (B) HRR. (C) Combined model of peak VO2 and HRR. CPET, cardiopulmonary exercise testing; HRR, heart rate reserve; Peak VO2, peak oxygen uptake Moreover, we divided the patients into four groups according to each cutoff value as follows: Low peak VO2/low HRR, low peak VO2/high HRR, high peak VO2/low HRR, and high peak VO2/high HRR groups. Table 2 shows the clinical characteristics of the four groups. The age, male ratio, body mass index, hypertension prevalence, hemoglobin level, creatinine level, lean body mass, lower limb muscle strength, grip strength, peak VO2, peak heart rate, and HRR were significantly different among the four groups (all p < .05). The low peak VO2/low HRR group showed a high risk of total mortality (Figure 2(C)). The multivariate Cox regression analysis revealed that the low peak VO2/low HRR group had a significantly higher risk of total mortality than the high peak VO2/high HRR group after adjustment for age, gender, body mass index, grip strength, and hemoglobin, which were significant variables in the univariate analysis (hazard ratio, 3.62; 95% confidence interval, 1.08–12.12; p = .03; Supplemental Table 1). Furthermore, univariate and multivariate Cox hazard analyses were performed using peak VO2 and HRR. According to univariate Cox hazard analysis, age (hazard ratio, 1.05; 95% confidence interval, 1.02–1.09; p < .01), body mass index (hazard ratio, 0.80; 95% confidence interval, 0.72–0.90; p < .01), lean body mass (hazard ratio, 0.94; 95% confidence interval, 0.91–0.97; p < .01), hemoglobin (hazard ratio, 0.62; 95% confidence interval, 0.51–0.76; p < .01), creatinine (hazard ratio, 1.17; 95% confidence interval, 1.06–1.29; p < .01), low‐density lipoprotein cholesterol (hazard ratio, 1.01; 95% confidence interval, 1.00–1.03; p < .01), peak VO2 (hazard ratio, 0.79; 95% confidence interval, 0.93–0.98; p < .001), and HRR (hazard ratio, 0.95; 95% confidence interval, 0.93–0.98; p < .01) correlated significantly with total mortality (Table 3). Considering the high correlation between HRR and peak VO2 (Figure 1), the multivariate Cox hazard analysis was performed separately. After the confounding factors were adjusted, peak VO2 (hazard ratio, 0.75; 95% confidence interval, 0.64–0.84; p < .01) and HRR (hazard ratio, 0.96; 95% confidence interval, 0.92–0.99; p < .05) were independently associated with total mortality (Table 3(A),(B)).
TABLE 2

Clinical parameters among the four groups

CharacteristicsLow peak VO2/low HRRLow peak VO2/high HRRHigh peak VO2/low HRRHigh peak VO2/high HRRp value
(n = 91)(n = 41)(n = 49)(n = 142)
Age (years)67.9 ± 8.766.5 ± 8.867.2 ± 9.162.1 ± 9.1<.01
Male (%)65 (71.4)24 (58.5)43 (87.8)130 (91.5)<.01
BMI (kg/m2)22.7 ± 2.824.3 ± 2.923.0 ± 2.623.5 ± 2.5<.01
Hypertension (%)71 (82)31 (76)29 (59)91 (66).02
Dyslipidemia (%)98 (73)29 (71)28 (57)52 (59).09
Diabetes mellitus (%)49 (55)25 (61)29 (59)67 (49).46
Smoking (%)47 (56)15 (38)31 (66)68 (51).05
Family history of CVD (%)38 (29)9 (22)8 (17)16 (20).24
Prior myocardial infraction (%)24 (34)9 (28)5 (13)24 (22).08
Laboratory data
Hemoglobin (g/dl)12.5 ± 1.712.9 ± 1.513.4 ± 1.413.5 ± 1.4<.01
Albumin (g/dl)4.0 ± 0.44.1 ± 0.34.1 ± 0.64.2 ± 0.4.29
Creatinine (mg/dl)1.9 ± 2.70.9 ± 0.31.2 ± 1.30.9 ± 0.4<.01
Triglyceride (mg/dl)153 ± 88147 ± 70131 ± 78136 ± 69.38
HDL‐C (mg/dl)47 ± 1449 ± 1346 ± 1348 ± 12.92
LDL‐C (mg/dl)110 ± 37113 ± 38106 ± 36115 ± 38.32
Fasting plasma glucoses (mg/dl)138 ± 56135 ± 48138 ± 55135 ± 56.99
HbA1c (%)6.2 ± 1.46.4 ± 1.46.2 ± 1.36.1 ± 1.5.84
Diseased vessels
1–2 Vessel disease (%)21 (26)9 (23)10 (24)42 (34).50
3 Vessel Disease (%)47 (59)20 (51)24 (57)59 (46).50
Left main trunk (%)12 (15)10 (25)7 (19)25 (20).56
LVEF (%)56 ± 1558 ± 1761 ± 1162 ± 17.16
Medications
Aspirin (%)85 (96)38 (93)46 (94)136 (97).73
ACE‐I/ARB (%)5 (6)7 (17)4 (8)11 (8).17
β‐blockers (%)25 (28)11 (27)8 (16)33 (23).82
Statin (%)20 (23)8 (20)10 (20)17 (12).18
Oral anti‐diabetic agents (%)13 (15)9 (22)13 (27)25 (18).35
Insulin (%)15 (17)9 (22)8 (16)20 (14).70
Anthropometric parameters
Body fat mass (kg)11.4 ± 5.113.9 ± 4.912.5 ± 4.812.3 ± 4.3.05
Lean body mass (kg)46.6 ± 9.146.3 ± 7.748.8 ± 8.551.0 ± 7.6<.01
Muscle strength
Lower limb muscle strength (Nm/kg × 100)119.6 ± 36.8121.2 ± 39.3143.6 ± 40.0160.5 ± 42.2<.01
Grip strength (kg)23.9 ± 9.225.5 ± 9.029.1 ± 7.432.5 ± 6.8<.01
CPET parameters
Post operation days7.1 ± 3.26.4 ± 2.16.5 ± 5.56.3 ± 3.4.77
Peak VO2 (mL/kg/min)9.5 ± 1.910.2 ± 1.213.9 ± 1.916.3 ± 3.1<.01
Resting HR (beats/min)88.9 ± 14.183.4 ± 11.690.1 ± 12.588.3 ± 11.8.06
Peak HR (beats/min)107.1 ± 15.8120.4 ± 14.4111.3 ± 13.4129.7 ± 12.6<.01
HRR (beats/min)18.0 ± 6.238.9 ± 13.021.0 ± 5.441.4 ± 9.9<.01
Work rate (W)50.6 ± 16.959.9 ± 15.170.5 ± 19.587.4 ± 23.6<.01
ΔVO2/ΔWork rate (ml/min/W)5.72 ± 2.85.87 ± 2.38.42 ± 5.38.79 ± 3.2<.01

Abbreviations: ACE‐I, angiotensin‐converting enzyme inhibitors; ARB, angiotensin receptor blocker; BMI, body mass index; CPET, cardiopulmonary exercise test; CVD, cardiovascular disease; HbA1c, hemoglobin A1c; HDL‐C, high‐density lipoprotein cholesterol; HRR, heart rate reserve; HR, heart rate; LDL‐C, low‐density lipoprotein cholesterol; LVEF, left ventricular ejection fraction; Peak VO2, peak oxygen uptake.

TABLE 3

Univariate and multivariate analysis on total mortality

VariablesUnivariateMultivariate
HR (95%)p valueHR (95%)p value
A: Adjusted factors including peak VO2
Age (years)1.05 (1.02‐1.09)<.01
BMI (kg/m2)0.80 (0.72‐0.90)<.01
Lean body mass (kg)0.94 (0.91‐0.97)<.01
Hemoglobin (g/dl)0.62 (0.51‐0.76)<.01
Creatinine (mg/dl)1.17 (1.06‐1.29)<.01
LDL‐C (mg/dl)1.01 (1.00‐1.03)0.01
Peak VO2 (ml/kg/min)0.79 (0.72‐0.86)<.010.75 (0.64‐0.84)<.01
B: Adjusted factors including HRR
Age (years)1.05 (1.02‐1.09)<.01
BMI (kg/m2)0.80 (0.72‐0.90)<.01
Lean body mass (kg)0.94 (0.91‐0.97)<.01
Hemoglobin (g/dl)0.62 (0.51‐0.76)<.01
Creatinine (mg/dl)1.17 (1.06‐1.29)<.01
LDL‐C (mg/dl)1.01 (1.00‐1.03)<.01
HRR (beats/min)0.95 (0.93‐0.98)<.010.96 (0.92‐0.99).03

Abbreviations: BMI, body mass index; HRR, heart rate reserve; LDL‐C, low‐density lipoprotein cholesterol; Peak VO2, peak oxygen uptake.

Clinical parameters among the four groups Abbreviations: ACE‐I, angiotensin‐converting enzyme inhibitors; ARB, angiotensin receptor blocker; BMI, body mass index; CPET, cardiopulmonary exercise test; CVD, cardiovascular disease; HbA1c, hemoglobin A1c; HDL‐C, high‐density lipoprotein cholesterol; HRR, heart rate reserve; HR, heart rate; LDL‐C, low‐density lipoprotein cholesterol; LVEF, left ventricular ejection fraction; Peak VO2, peak oxygen uptake. Univariate and multivariate analysis on total mortality Abbreviations: BMI, body mass index; HRR, heart rate reserve; LDL‐C, low‐density lipoprotein cholesterol; Peak VO2, peak oxygen uptake.

DISCUSSION

This study demonstrated that peak VO2 and HRR were significantly associated with total mortality risk in patients who underwent OP‐CABG. In addition, combined peak VO2 and HRR was an important prognostic marker, especially in patients with low‐peak VO2. To our knowledge, this report is the first to demonstrate the clinical usefulness of HRR to identify high‐risk patients after OP‐CABG. Peak VO2 is widely used for assessing exercise capacity and provides prognostic information for patients with cardiovascular diseases. , Stewart et al. reported that poor exercise capacity has increased early and 5‐year mortality with on pump‐CABG, whereas those with better exercise capacity have improved survival with on pump‐CABG. Similarly, the present study revealed that a low‐peak VO2 level was associated with mortality in patients who underwent OP‐CABG (Figure 2(A)). Exercise capacity is generated through a complex interaction among the cardiovascular, respiratory, and muscular systems. However, exercise capacity impairment as well as increased total mortality may occur because of physiologic conditions such as aging, and pathologic conditions including muscular weakness and fatigue. , , When a healthy human performs maximal aerobic exercise, VO2 increases by approximately 7.7‐fold. This increment is achieved by 2.5‐fold increase in heart rate, a 2.5‐fold increase in arteriovenous oxygen difference, and a 1.4‐fold increase in stroke volume. Thus, heart rate increase is one of the strongest contributor to one's ability to sustain aerobic exercise. Patients with a low increase in heart rate on treadmill‐exercise echocardiography and apparently healthy subjects with a low increase in heart rate during exercise have poor long‐term outcomes. , , Niemela et al. evaluated a similar significance in patients who underwent on pump‐CABG and demonstrated that on pump‐CABG causes a marked attenuation of heart rate variability, but the prognostic significance of this attenuation is unknown. From this point, this finding agrees with our results; that is, impaired HRR was associated with increased total mortality in patients who underwent OP‐CABG. As an important indicator of chronotropic incompetence, HRR was associated with mortality in the patients with coronary artery disease and the healthy subjects. , The mechanism underlying the importance of HRR on the risk of mortality maybe related to not only chronotropic incompetence, but also a complex interplay among several factors such as age, gender, physical conditioning, and venous return. The present study showed that both low levels of peakVO2 and HRR were independent factor of poor prognosis in separate model analysis. After a simple combination of peak VO2 and HRR, patients with high‐peak VO2 maintained a good survival rate despite having an impaired HRR. , , However, the low‐peak VO2/low‐HRR group clearly showed the lowest survival rate compared with the low‐peak VO2/high‐HRR group (Figure 2(C)). As the age advances, the mitochondrial activity declines, which lead to a decrease in cellular oxygen delivery. In addition, as described previously, gender and physical conditioning also effects the deterioration of HRR. These complex factors might be associated with the poor prognosis of the low‐peak VO2 /low‐HRR group. The main clinical implication of this study is that HRR, a simple parameter measured in CPET, may be useful for identifying high‐risk subjects especially among patients with low‐peak VO2 after OP‐CABG. These findings may be important in clinical practice.

Study limitations

This study has several limitations. First, it was observational character with relatively small sample size, single center study, only Japanese subjects, and low‐event rate. Second, the data of physical activity and other health behaviors after the exercise test were lacking. Third, this analysis was limited to patients who participated in the cardiac rehabilitation program. Fourth, the dosage of β‐blockers and the heart rate variability were not included in our data. Finally, the exercise tests were performed around 1 week after CABG. The estimates in the present analysis might not be relevant if the exercise test was performed weeks to months post CABG, which is more likely the case in other institutions. Therefore, further studies are needed to confirm our study results and determine whether treatment intensity modification influences the HRR and prognosis of patients.

CONCLUSION

In conclusion, HRR, which is a simple parameter of CPET, was an important prognostic marker for the risk stratification of total mortality even in patients with low‐peak VO2 after OP‐CABG.

CONFLICT OF INTEREST

The authors declare that there is no conflict of interest. Supplemental Table 1 Multivariate analysis on total mortality among the four groups Click here for additional data file.
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5.  The Japanese Society of Hypertension Guidelines for the Management of Hypertension (JSH 2014).

Authors:  Kazuaki Shimamoto; Katsuyuki Ando; Toshiro Fujita; Naoyuki Hasebe; Jitsuo Higaki; Masatsugu Horiuchi; Yutaka Imai; Tsutomu Imaizumi; Toshihiko Ishimitsu; Masaaki Ito; Sadayoshi Ito; Hiroshi Itoh; Hiroshi Iwao; Hisashi Kai; Kazuomi Kario; Naoki Kashihara; Yuhei Kawano; Shokei Kim-Mitsuyama; Genjiro Kimura; Katsuhiko Kohara; Issei Komuro; Hiroo Kumagai; Hideo Matsuura; Katsuyuki Miura; Ryuichi Morishita; Mitsuhide Naruse; Koichi Node; Yusuke Ohya; Hiromi Rakugi; Ikuo Saito; Shigeyuki Saitoh; Kazuyuki Shimada; Tatsuo Shimosawa; Hiromichi Suzuki; Kouichi Tamura; Norio Tanahashi; Takuya Tsuchihashi; Makoto Uchiyama; Shinichiro Ueda; Satoshi Umemura
Journal:  Hypertens Res       Date:  2014-04       Impact factor: 3.872

6.  Heart-rate profile during exercise as a predictor of sudden death.

Authors:  Xavier Jouven; Jean-Philippe Empana; Peter J Schwartz; Michel Desnos; Dominique Courbon; Pierre Ducimetière
Journal:  N Engl J Med       Date:  2005-05-12       Impact factor: 91.245

7.  Long-term alterations of heart rate dynamics after coronary artery bypass graft surgery.

Authors:  Timo T Laitio; Heikki V Huikuri; Juha Koskenvuo; Jouko Jalonen; Timo H Mäkikallio; Hans Helenius; Erkki S H Kentala; Jaakko Hartiala; Harry Scheinin
Journal:  Anesth Analg       Date:  2006-04       Impact factor: 5.108

8.  Resting heart rate and heart rate reserve in advanced heart failure have distinct pathophysiologic correlates and prognostic impact: a prospective pilot study.

Authors:  Jan Benes; Martin Kotrc; Barry A Borlaug; Katerina Lefflerova; Petr Jarolim; Bela Bendlova; Antonin Jabor; Josef Kautzner; Vojtech Melenovsky
Journal:  JACC Heart Fail       Date:  2013-06-03       Impact factor: 12.035

9.  Value of peak exercise oxygen consumption for optimal timing of cardiac transplantation in ambulatory patients with heart failure.

Authors:  D M Mancini; H Eisen; W Kussmaul; R Mull; L H Edmunds; J R Wilson
Journal:  Circulation       Date:  1991-03       Impact factor: 29.690

10.  Exercise capacity and mortality in patients with ischemic left ventricular dysfunction randomized to coronary artery bypass graft surgery or medical therapy: an analysis from the STICH trial (Surgical Treatment for Ischemic Heart Failure).

Authors:  Ralph A H Stewart; Dominika Szalewska; Lilin She; Kerry L Lee; Mark H Drazner; Barbara Lubiszewska; Dragana Kosevic; Permyos Ruengsakulrach; José C Nicolau; Benoit Coutu; Shiv K Choudhary; Daniel B Mark; John G F Cleland; Ileana L Piña; Eric J Velazquez; Andrzej Rynkiewicz; Harvey White
Journal:  JACC Heart Fail       Date:  2014-07-09       Impact factor: 12.035

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  1 in total

1.  Prognostic impact of peak oxygen uptake and heart rate reserve in patients after off-pump coronary artery bypass grafting.

Authors:  Abidan Abulimiti; Miho Nishitani-Yokoyama; Kazunori Shimada; Mitsuhiro Kunimoto; Tomomi Matsubara; Kei Fujiwara; Tatsuro Aikawa; Shohei Ouchi; Yurina Sugita; Kosuke Fukao; Tomoyasu Kadoguchi; Tetsuro Miyazaki; Akie Shimada; Taira Yamamoto; Tetsuya Takahashi; Toshiyuki Fujiwara; Tohru Asai; Atsushi Amano; Hiroyuki Daida; Tohru Minamino
Journal:  Clin Cardiol       Date:  2021-02-25       Impact factor: 2.882

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