†These authors contributed equally.
Academic Editors: Gianluca Campo and Anindita Das
Background: Elevated heart rate (HR) is associated with
cardiovascular mortality and other events associated with acute myocardial
infarction (AMI). The heart rate after discharge is likely superior to reflect
the deteriorating heart function, which negatively responds to normal physical
activity. This study aimed to explore the effect of HR at the first outpatient
visit on clinical outcomes. Methods: We retrospectively identified 605
patients with AMI. HRs at admission, discharge, and first outpatient visits were
measured. The primary endpoint was defined as major adverse cardiovascular events
(MACEs), including cardiovascular (CV) death, readmission for worsening heart
failure, recurrent nonfatal myocardial infarction (MI), repeated coronary
revascularization, and ischemic stroke. Results: During the follow-up
period, 145 cases of MACE occurred, including 34 CV deaths, 31 recurrent MI, 89
revascularizations, 41 heart failures, and 4 strokes. The event group displayed
an elevated HR at the first outpatient visit compared to the event-free group
(p
Generally, heart rate (HR) variability and fluctuation after acute and serious disorders directly reflect the severity and complexity of multiorgan dysfunction, especially in the cardiac system. Numerous previous studies have revealed that increased HR is an independent predictor of mortality in a series of cardiovascular (CV) disorders, such as acute myocardial infarction (AMI), stable coronary disease, chronic heart failure, and ischemic stroke [1, 2, 3, 4, 5]. Additionally, a series of evidence has been accumulated to identify that different patterns of HR, such as admission HR [6], discharge HR [3, 7], HR variability [8] and resting HR [9] have been associated with a higher risk of recurrent myocardial infarction (MI) and long-term mortality in patients with AMI.
Previously, the association between elevated HR on admission and CV mortality during AMI has been recognized and incorporated into different risk stratification models, such as GRACE (Global Registry of Acute Coronary Events) and TIMI (Thrombolysis in Myocardial Infarction) risk scores [7, 10]. More recent studies of patients with AMI have reported that the association between discharge HR and long-term mortality is independent and stronger than that with admission HR [1, 3]. Although the effects of admission and discharge HR on long-term outcomes after MI have been well established in recent studies, few studies have investigated the effects of post-discharge HR. Meanwhile, increased HR is believed to be an indicator of more severe conditions for patients with acute coronary syndrome (ACS) [11, 12], but there is limited research on the association with outpatient HR during the rehabilitation period. Therefore, this study aimed to explore the relationship between CV events and HR at the first post-discharge visit and the HR difference between discharge and the first outpatient visit (D-O diff).
We retrospectively reviewed 6592 AMI patients undergoing primary percutaneous coronary intervention (PCI) at the Beijing Chaoyang Hospital between January 2014 and December 2019, and identified 635 patients with documented first post-discharge vital signs in the outpatient office (Supplementary Fig. 1). The diagnostic criteria for type 2 AMI were in accordance with the fourth universal definition of MI [13] when there is AMI with clinical evidence of myocardial ischemia and detection of a rise in cardiac troponi (cTn) values with at least above 99th percentile upper reference limit (URL) and at least one of the following: (1) typical ischemic symptoms; (2) a newly onset left bundle branch block pattern, or a new ST-segment elevation or depression in at least two contiguous leads, with findings of more than 0.2 mV in leads V1, V2, and V3 or at least 0.1 mV in the remaining leads; (3) the occurrence of pathological Q waves; and (4) new loss of viable myocardium or new regional wall motion abnormally identified by imaging evidence. The exclusion criteria were a life expectancy of less than 6 months due to cancer or cachexia, a history of coronary artery bypass inapplicable to the assessment of SYNTAX (Synergy between PCI with Taxus and Cardiac Surgery) score, liver cirrhosis, dialysis, and severe infection. Patients with atrial fibrillation and pacemakers were ruled out from this study.
The admission HR and heart rhythm were simultaneously measured on an 18 lead electrocardiogram (ECG) and arm electronic sphygmomanometer (OMRON HBP-1300, Omron, Shandong, China) upon arrival to the inpatient department. The discharge HR was measured as the mean value of the last two HR values (resting in the morning before and immediately before discharge). With a routine outpatient review at 2–4 weeks after discharge, the outpatient HR was recorded in the sitting position after resting for 5-min using an arm electronic sphygmomanometer (OMRON HEM-724 or HEM-1020, Omron, Shandong, China) as the mean value of the two recorded HRs with an interval of 1-min in the department. We calculated the difference between the two above HRs, such as the D-O difference, by subtracting the first post-discharge visit HR from the value at discharge.
The patients’ baseline information, including clinical features, demographics, and treatment records, were retrospectively collected from the medical database of Beijing Chaoyang Hospital. Laboratory test results, including white blood cell count, hemoglobin, platelet count, low-density lipoprotein, triglyceride, creatinine, fasting glucose, brain natriuretic peptide, and cardiac troponin I (CTNI), were recorded within 12-h after admission. The left ventricular ejection fraction (LVEF) performed by echocardiography within 12-h after admission was recorded. The medications were prescribed at discharge and recorded during the first post-discharge review.
In this study, two specialists (CL and DJF) were blinded to the management of
medication and the outcomes during follow-up and assessed coronary angiography
according to the set standards. Coronary single-vessel disease was defined as
vessel stenosis
This study was approved by the institutional review board of Beijing Chaoyang Hospital and performed in accordance with the 1964 Declaration of Helsinki and its later amendments. Written informed consent was obtained from all the patients or their legal relatives.
All patients were followed up by routine outpatient visits to assess the development of the disease and the prevalence of major clinical adverse CV events. For patients without outpatient records, we contacted those patients by telephone to assess the incidence of CV events. The major adverse cardiovascular event (MACE), which is the primary endpoint of this study, was mainly defined as a composite of CV death, readmission for worsening heart failure, recurrent nonfatal MI, repeated coronary revascularization, and ischemic stroke.
Continuous variables are expressed as mean
Based on the exclusion criteria, 605 AMI patients with first post-discharge
vital signs were recruited for this study. The median of follow-up time was 26
months (range: 1–65 months). All subjects were categorized into two groups based
on the occurrence of MACE. Table 1 summarizes the baseline characteristics of the
two groups. The proportion of patients with and without MACE was 145 (24%) and
460 (76%), respectively. Interestingly, patients in the MACE group presented
higher values of admission HR and outpatient HR (75 vs. 80, p =
0.03; 71.4 vs. 76.2, p
Factor | Non-MACE group | MACE group | p-value |
N | 460 (76.0%) | 145 (24.0%) | |
age, (year) | 61.18 (13.09) | 65.18 (10.75) | |
Male, n (%) | 354 (77.0%) | 109 (75.2%) | 0.65 |
BMI, (kg/m |
25.3 (3.76) | 25.6 (3.37) | 0.42 |
Diagnosis, n (%) | 0.10 | ||
STEMI | 448 (97.4%) | 144 (99.3%) | |
NSTEMI | 12 (2.6%) | 1 (0.7%) | |
Killip III or IV, n (%) | 42 (9.1%) | 18 (12.4%) | |
LVEF, % | 62 (53, 67) | 58 (48, 64) | |
Outpatient HR, (beat/min) | 70 (64, 75) | 72 (68, 80) | |
Outpatient SBP, (mmHg) | 125.8 (16.83) | 127.1 (15.73) | 0.41 |
Outpatient DBP, (mmHg) | 74.1 (9.92) | 73.1 (9.45) | 0.28 |
Admission SBP, (mmHg) | 123.1 (20.0) | 127.8 (21.14) | 0.02 |
Admission DBP, (mmHg) | 71.2 (12.86) | 72.1 (12.01) | 0.52 |
Discharge SBP, (mmHg) | 121.0 (13.0) | 124.5 (14.78) | |
Discharge DBP, (mmHg) | 70.4 (9.09) | 71.8 (8.75) | 0.08 |
Admission HR, (beat/min) | 75 (66, 84) | 80 (69, 86) | 0.03 |
Discharge HR, (beat/min) | 70.6 (8.14) | 70.7 (8.67) | 0.85 |
Discharge-out diff HR, (beat/min) | –0 (–8, 6) | –4 (–10, 4) | |
Admi-dis diff HR, (beat/min) | 4 (–4, 15) | 6 (–3, 15) | 0.17 |
Admi-out diff HR, (beat/min) | 4 (–4, 14) | 3 (–5, 14) | 0.43 |
Medical history | |||
Prior MI, n (%) | 43 (9.3%) | 27 (19.0%) | |
History of PCI, n (%) | 29 (6.3%) | 22 (15.2%) | |
Diabetes mellitus, n (%) | 143 (31.1%) | 56 (38.6%) | 0.09 |
Hypertension, n (%) | 240 (52.2%) | 97 (66.9%) | |
Hyperlipoidemia, n (%) | 105 (22.8%) | 45 (31.0%) | 0.05 |
Smoker, n (%) | 272 (59.1%) | 86 (59.3%) | 0.97 |
Angiography characteristic | |||
Culprit Vessel, n (%) | 0.02 | ||
LAD, n (%) | 178 (38.7%) | 77 (53.1%) | |
LCX, n (%) | 71 (15.4%) | 17 (11.7%) | |
RCA, n (%) | 209 (45.4%) | 51 (35.2%) | |
LM, n (%) | 2 (0.4%) | 0 (0.0%) | |
Number of stenosis |
0.53 | ||
Single vessel, n (%) | 11 (2.4%) | 4 (2.8%) | |
Two vessels, n (%) | 90 (19.6%) | 20 (13.8%) | |
Three vessels, n (%) | 349 (75.9%) | 118 (81.4%) | |
LM + three vessels, n (%) | 10 (2.2%) | 3 (2.1%) | |
IABP, n (%) | 188 (40.9%) | 53 (36.6%) | 0.35 |
SYNTAX score | 25.9 (9.98) | 27.76 (9.33) | 0.04 |
Laboratory test | |||
White blood cell, (10 |
10.8 (2.85) | 11.2 (2.84) | 0.15 |
Precent of neutral cell, (%) | 79.8 (10.10) | 79.7 (9.99) | 0.90 |
Hemoglobin, (10 |
134.9 (17.43) | 134.2 (15.35) | 0.66 |
Platelet count, (10 |
216.4 (58.20) | 215.5 (54.34) | 0.85 |
Cholesterol, (mmol/L) | 4.6 (1.06) | 4.6 (1.12) | 0.95 |
High density lipoprotein, (mmol/L) | 1.09 (0.29) | 1.13 (0.29) | 0.10 |
Low density lipoprotein, (mmol/L) | 2.89 (0.88) | 2.84 (0.90) | 0.52 |
Triglyceride, (mmol/L) | 1.60 (0.92) | 1.61 (2.70) | 0.91 |
Fasting glucose, (mmol/L) | 7.9 (3.74) | 7.78 (3.30) | 0.74 |
BNP, (pg/mL) | 711.9 (1563.9) | 592.9 (920.6) | 0.39 |
CTNI, (ng/mL) | 63.2 (85.40) | 75.4 (114.4) | 0.17 |
Hs-CRP, (mg/dL) | 4.69 (2, 10.9) | 4.24 (2.47, 11.17) | 0.47 |
Creatinine, (mmol/L) | 81.9 (40.30) | 78.90 (21.53) | 0.38 |
Medication at discharge | |||
Aspirin, n (%) | 459 (99.8%) | 145 (100.0%) | 0.57 |
Clopidogrel, n (%) | 445 (96.7%) | 142 (97.9%) | 0.46 |
Tirofiban, n (%) | 245 (53.3%) | 85 (58.6%) | 0.26 |
Ticagrelor, n (%) | 14 (3.0%) | 3 (2.1%) | 0.54 |
288 (62.7%) | 92 (63.4%) | 0.88 | |
ACEI/ARB, n (%) | 238 (51.7%) | 72 (49.7%) | 0.66 |
Statin, n (%) | 418 (90.9%) | 127 (87.6%) | 0.25 |
Nitrogen, n (%) | 150 (32.6%) | 29 (20.0%) | |
Abbreviation: BMI, body mass index; STEMI, ST-segment elevated myocardial infraction; NSTEM, non ST-segment elevated myocardial infraction; LVEF, left ventricular ejection fraction; HR, heart rate; SBP, systolic blood pressure; DBP, diastolic blood pressure; MI, myocardial infarction; PCI, percutaneous coronary intervention; LAD, left anterior descending artery; LCX, left circumflex artery; RCA, right coronary artery; LM, left main artery coronary; IABP, intra-aortic balloon pump; BNP, brain natriuretic peptide; CTNI, cardiac troponin I; Hs-CRP, high-sensitivity C-reactive protein; ACEI, angiotensin converting enzyme inhibitors; ARB, angiotensin receptor blocker; SYNTAX, Synergy between PCI with Taxus and Cardiac Surgery. |
During the average follow-up period of 26 months, 145 (24%) cases with MACE occurred, including 34 CV deaths, 31 recurrent MI, 89 revascularizations, 41 heart failures, and 4 strokes. The patients in the highest quartiles of outpatient HR presented significantly not only a higher cumulative prevalence of MACE and CV mortality, but also an increased incidence of worsening heart failure and ischemic stroke, as indicated by the Kaplan–Meier survival curves (Table 2, Fig. 1). Accordingly, the log-rank test showed significant discrepancies among the four quartiles in terms of CV mortality and MACE.
The Kaplan-Meier curves for (A) CV mortality and (B) MACE among the quartiles of outpatient heart rate. The Kaplan-Meier curve indicated that patients in 4th quartile presented higher prevalence of CV mortality (A) and MACE (B).
1st quartile | 2nd quartile | 3rd quartile | 4th quartile | p-value | |
Number, n (%) | 153 (25.3%) | 199 (32.9%) | 109 (18.0%) | 144 (23.8%) | |
Follow-up time, (months) | 25 (19, 39) | 27 (19, 39) | 25 (11, 38) | 24 (13, 33) | 0.02 |
MACE, n (%) | 25 (16.3%) | 42 (21.1%) | 32 (29.4%) | 46 (31.9%) | |
Cardiovascular mortality, n (%) | 4 (2.6%) | 6 (3.0%) | 9 (8.3%) | 15 (10.4%) | |
Recurrent MI, n (%) | 13 (8.5%) | 7 (3.5%) | 3 (2.8%) | 9 (6.3%) | 0.11 |
Revascularization, n (%) | 15 (9.8%) | 33 (16.6%) | 20 (18.3%) | 21 (14.6%) | 0.20 |
Worsening HF, n (%) | 4 (2.6%) | 7 (3.5%) | 12 (11.0%) | 18 (12.5%) | |
Ischemia stroke, n (%) | 0 (0.0%) | 0 (0.0%) | 0 (0.0%) | 4 (2.8%) | |
Abbreviation: MACE, major adverse cardiovascular events; MI, myocardial infarction; HF, Heart Failure. |
Based on the Cox proportional hazard regression analysis, the predictors of MACE
and CV mortality are shown in Table 3. In the univariate analysis, it revealed
that outpatient HR (HR = 1.03, 95% CI = 1.022–1.043, p
Restricted cubic spline curve between outpatient HR and CV events and mortality presented as a rough linear relationship. (A) The linear relationship between HR at first post-discharge and CV events. The dashed grey area represents the upper and lower 95% confidence limits. (B) The curve (solid red) shows that a resting HR of 62–71 beats/min was not associated with an elevated risk for CV mortality relative to a resting HR of 61 beats/min.
As shown in Fig. 3, the standardized HRs for the six types of HRs were
calculated for comparison in association with CV mortality and MACE. Each type of
HR was used in a multivariate Cox regression model, including age, admission
blood pressure, LVEF, prior MI, history of PCI, hypertension, diabetes mellitus,
and hyperlipidemia. Notably, HR at the first outpatient visit had the strongest
positive association with the occurrence of CV mortality and MACE (HR = 1.33,
95% CI = 10.8–59.3, p
Comparison of effects between different patterns of heart rate or difference in heart rate on cardiovascular mortality and MACE, respectively. After adjustment for age, admission blood pressure, left ventricular ejection fraction, prior MI, and the history of PCI, hypertension, diabetes mellitus, and hyperlipemia, the outpatient heart rate showed higher risk of CV mortality and MACE, with hazard ratio (HR) of 1.33 and 1.18, respectively. Data from Cox analyses are shown and are expressed as HR (95% CI) for Cox analysis, estimated for increments of 1 SD in each predictive variable.
Our findings suggest that the first post-discharge HR is indicative of the risk of MACE in patients with AMI. In addition, this association with CV mortality and morbidity in AMI was independent of and stronger than admission HR and discharge HR, both of which are independently related to mortality, as indicated by previous studies [1, 6]. To the best of our knowledge, the present study is the first to illustrate the possibility that the HR at the first post-discharge visit over a recovery period of 2–4 weeks is superior to HR at admission or discharge in predicting long-term CV outcomes in the setting of AMI.
HR is an essential, prognostic, and vital parameter that is very convenient to measure and monitor in clinical practice and may be applicable to therapeutic interventions in coronary artery disease. Several previous studies have established a link between the increased risk of mortality and different patterns of CV events and elevated resting HR [9, 14, 15, 16]. Kim et al. [4] suggested that worsening the first post-discharge HR control increases the risk of readmission due to the prevalence of CV events in patients with heart failure, including worsening heart failure, non-fatal MI, and mortality. Higher outpatient HR as a continuous parameter was related to an increased risk of mortality, with a hazard ratio of 1.037 (95% CI = 1.029–1.045). In the case of post-MI, the early double-blind Norwegian Timolol Multicenter study, Gundersen et al. [17] demonstrated that increased resting HR at 1 month after AMI was related to mortality during a 6-years follow-up regardless of timolol treatment. Although there was no definite description of the post-discharge HR, the failure of HR management in the second or fourth week after discharge was related to a poor prognosis. Our findings are consistent with these reports and suggest that the first post-discharge HR is a better predictor of long-term CV events in AMI patients compared with the two other types of HR at hospitalization, independent of the coronary severity and LVEF on admission. Hence, the present study provides important prognostic evidence for the prediction of early follow-up outpatient HR in the AMI population. Additionally, increased differences between outpatient and discharge HRs were also independent risk factors for CV events. Although causality in this observational study cannot be assessed, existing studies provide a rational explanation. In the Coronary Artery Risk Development in Young Adults (CARDIA) Study, the increment of change in HR during follow-up visits is associated with worsening diastolic function in young adults at a higher risk of incident HF and CV disease [16]. Unrevealed diastolic dysfunction is an important independent predictor of mortality after AMI, regardless of LVEF [18]. This interaction may be a confounding factor between the elevated outpatient HR and mortality. In addition, a reduction in HR potentially reduces myocardial oxygen consumption and maintains coronary perfusion due to a prolonged diastolic period and vice versa [19]. A cascade of events, including elevated left ventricular afterload and stiffness, impairments in left ventricular diastolic function, and cardiac function, are induced by an increase in HR [20].
Interestingly, contrary to the positive results from prior studies regarding the
effect of discharge HR on CV mortality, our findings showed that there is a
neutral association with clinical outcomes. It is worth noting that the HR at
discharge was limited to approximately 70 beats/min in this population. In a
recently published study [1], the findings of Alapati et al. [1] also
demonstrated that discharge HR
Cardiovascular mortality | MACE | |||||||
Univariate analysis | Multivariable analysis | Univariate analysis | Multivariable analysis | |||||
HR (95% CI) | p-value | HRs (95% CI) | p-value | HR (95% CI) | p-value | HRs (95% CI) | p-value | |
Age | 1.04 (1.014–1.076) | 1.03 (0.987–1.065) | 0.20 | 1.02 (1.007–1.035) | 1.01 (0.996–1.030) | 0.13 | ||
Male | 1.39 (0.666–2.915) | 0.38 | 1.51 (0.506–2.963) | 0.65 | 1.14 (0.783–1.663) | 0.49 | 1.02 (0.643–1.616) | 0.94 |
BMI | 1.10 (1.024–1.188) | 1.1 (1.033–1.269) | 0.01 | 1.01 (0.975–1.060) | 0.44 | 1.03 (0.977–1.076) | 0.30 | |
Outpatient HR | 1.03 (1.022–1.043) | 1.05 (1.020–1.082) | 0.001 | 1.02 (1.013–1.031) | 1.03 (1.010–1.040) | |||
Admission SBP | 1.02 (1.007–1.038) | 1.03 (1.013–1.055) | 0.001 | 1.01 (1.004–1.019) | 1.02 (1.006–1.024) | |||
Discharge SBP | 1.01 (0.991–1.036) | 0.26 | 1.01 (1.000–1.021) | 0.04 | ||||
Admission HR | 1.02 (1.002–1.040) | 0.03 | 1.01 (1.002–1.022) | 0.01 | ||||
Discharge HR | 0.98 (0.942–1.025) | 0.42 | 0.99 (0.977–1.016) | 0.74 | ||||
Adm-dis HR | 1.02 (1.004–1.038) | 0.02 | 1.01 (1.001–1.020) | 0.02 | ||||
Adm-out HR | 0.98 (0.963–0.991) | 0.001 | 0.99 (0.984–1.003) | 0.21 | ||||
Dis-out HR | 0.96 (0.954–0.976) | 0.98 (0.970–0.988) | ||||||
Nitrogen | 0.59 (0.255–1.349) | 0.01 | 0.58 (0.386–0.874) | 0.01 | ||||
0.67 (0.332–1.333) | 0.25 | 0.91 (0.392–2.092) | 0.82 | 1.04 (0.737–1.462) | 0.83 | 0.99 (0.686–1.435) | 0.97 | |
Creatinine | 1.00 (0.996–1.010) | 0.36 | 1.00 (0.991–1.011) | 0.81 | 0.99 (0.991–1.002) | 0.33 | 0.99 (0.992–1.004) | 0.57 |
BNP | 0.99 (0.999–1.000) | 0.84 | 1.00 (0.999–1.102) | 0.24 | ||||
CTNI | 1.00 (0.998–1.005) | 0.38 | 1.00 (1.000–1.003) | 0.09 | ||||
EF | 0.95 (0.917–0.976) | 0.95 (0.910–0.990) | 0.02 | 0.96 (0.950–0.980) | 0.97 (0.950–0.986) | |||
Hemoglobin | 1.00 (0.979–1.022) | 0.98 | 0.99 (0.968–1.015) | 0.47 | 0.99 (0.988–1.008) | 0.66 | 0.99 (0.983–1.005) | 0.33 |
Hs-CRP | 1.00 (1.002–1.004) | 1.00 (1.003–1.006) | 0.99 (0.976–1.021) | 0.91 | 0.98 (0.943–1.018) | 0.30 | ||
Current smoker | 1.32 (0.636–2.738) | 0.46 | 3.81 (1.465–9.929) | 0.99 (0.712–1.386) | 0.97 | 1.31(0.887–1.943) | 0.17 | |
Hypertension | 2.67 (1.209–5.901) | 0.02 | 1.10 (0.447–2.720) | 0.83 | 1.68 (1.192–2.381) | 0.02 | 1.15 (0.784–1.695) | 0.47 |
Diabetes mellitus | 1.78 (0.905–3.505) | 0.09 | 2.11(0.994–4.507 ) | 0.05 | 1.50 (1.071–2.094) | 0.04 | 1.28 (0.896–1.843) | 0.17 |
Hyperlipemia | 1.76 (0.883–3.531) | 0.11 | 1.62 (0.690–3.802) | 0.27 | 1.20 (0.850–1.722) | 0.29 | 1.03 (0.692–1.537) | 0.88 |
Prior MI | 3.92 (1.912–8.052) | 0.001 | 2.85 (1.110–7.331) | 0.03 | 1.99 (1.306–3.019) | 0.001 | 1.63 (1.017–2.626) | 0.04 |
History of PCI | 3.86 (1.741–8.543) | 3.96 (1.380–11.413) | 0.01 | 2.53 (1.609–3.997) | 2.22 (1.342–3.691) | 0.01 | ||
SYNTAX score | 1.02 (0.989–1.049) | 0.22 | 1.013 (0.998–1.027) | 0.08 | ||||
Abbreviation: BMI, body mass index; BNP, brain natriuretic peptide; EF, ejection fraction; PCI, percutaneous coronary intervention; HR, heart rate; SBP, systolic blood pressure; CTNI, cardiac troponin I; MI, myocardial infarction. |
Our observations suggest that monitoring HR at the first post-discharge visit may be beneficial in identifying AMI patients at the greatest risk of readmission and death. The mechanism beyond the association between outpatient HR and death may relate to a long-term risk of CV autonomic neuropathy in association with various pathogenic pathways, including chronic inflammatory and atherosclerosis, and infectious disease processes. Reduction of HR variability and baroreflex gain reflect intrinsic autonomic abnormalities, which are generally associated with an imbalance of the autonomic nervous system, including sympathetic hyperactivity and vagal hypoactivity. Therefore, resting tachycardia commonly manifests after AMI, and an exaggerated HR relative to the activation of the sympathetic tone is general [27, 28]. Meanwhile, a recent study by Lai et al. [29] indicated that the CV autonomic neuropathy precipitated by diabetes mellitus could contribute to sympathetic predominance and is strongly associated with subsequent major adverse CV events, independent of underlying coronary disease and other risk factors. Several other studies have also shown that autonomic dysfunction, defined as an alteration in vagal and sympathetic activities, is related to long-term CV events [30, 31]. Moreover, higher HR is also associated with cardiometabolic factors, such as increased oxidative stress, inflammation markers, glucose intolerance, and diabetes mellitus [28, 32]. In the early stage of cardiac resilience following AMI, the discrepancy regarding suboptimal lifestyle habits and CV disease burden and subsequent alterations in myocardial function are also possible contributory factors for uncontrolled resting HR in the clinic department [16, 22].
There were several limitations to this retrospective study. First, the research
is observational, and as such, cannot establish a cause. Nevertheless, these
findings are consistent with those of other studies [4, 17]. Second, there was a
low rate of CV events in the present study. Standard guideline-directed medical
therapy can contribute to a low incidence of CV deaths. Third, the status of
chronic inflammatory diseases, such as pulmonary disease, was not depicted in
detail in this study. In the Cox proportional hazard regression, when the level
of hs-CRP was considered, outpatient HR was an independent risk factor for CV
mortality and MACE. Finally, because there was no difference in discharge of
In the case of AMI, HR monitoring at the first post-discharge visit is an important parameter associated with CV events. During the first outpatient visit, an HR above 71 beats/min was a risk factor related to the occurrence of CV mortality and other events. Hence, a thorough follow-up of HR changes in outpatients with AMI may facilitate the management of patients at a higher risk of CV events.
CL, DJF and QZ conceived the present study, participated in the design, collected and assembled all data, conducted data analysis, and drafted the manuscript. PXS commented on the manuscript drafts. LFW and XCY provided material and technical support and commented on the manuscript drafts. KBL and MLC aided the interpretation of data, commented on this study design, and provided a critical review. All authors have read and approved the manuscript.
This study was approved by the institutional review board of Beijing Chaoyang Hospital (2017-S-187) and performed in accordance with the 1964 Declaration of Helsinki and its later amendments. Written informed consent was obtained from all the patients or their legal relatives.
We would like to express our gratitude to all those who helped us during the writing of this manuscript. We thank all the peer reviewers for their opinions and suggestions.
This research was funded by the National Key R&D Program of China, grant number 2016YFC1301102. It funded the collection of data in the outpatient department and the revision of the manuscript.
The authors declare no conflict of interest.