Literature DB >> 31168369

Impact of changes in heart rate with age on all-cause death and cardiovascular events in 50-year-old men from the general population.

Xiao-Jing Chen1,2, Salim Bary Barywani3, Per-Olof Hansson4, Erik Östgärd Thunström3, Annika Rosengren5, Constantinos Ergatoudes3, Zacharias Mandalenakis6, Kenneth Caidahl7, Michael Lx Fu3.   

Abstract

Background: Resting heart rate (RHR), a known cardiovascular risk factor, changes with age. However, little is known about the association between changes in RHR and the risk of cardiovascular events. The purpose of this study was therefore to assess the impact of RHR at baseline, and the change in RHR over time, on the risk of all-cause death and cardiovascular events. Design: A random population sample of men born in 1943 who were living in Gothenburg, Sweden was prospectively followed for a 21-year period.
Methods: Participants were examined three times: first in 1993 and then re-examined in 2003 and 2014. At each visit, a clinical examination, an ECG and laboratory analyses were performed. Change in RHR between 1993 and 2003 was defined as a decrease if RHR decreased by 5 beats per minute (bpm), an increase if RHR increased by 5 bpm or stable if the RHR change was <4bpm).
Results: Participants with a baseline RHR of >75 bpm in 1993 had about a twofold higher risk of all-cause death (HR 2.3, CI 1.2 to 4.7, p=0.018), cardiovascular disease (CVD) (HR 1.8, CI 1.1 to 3.0, p=0.014) and coronary heart disease (CHD) (HR 2.2, CI 1.1 to 4.5, p=0.025) compared with those with <55 bpm in 1993. Participants with a stable RHR between 1993 and 2003 had a 44% decreased risk of CVD (HR 0.56, CI 0.35 to 0.87, p=0.011) compared with participants with an increasing RHR. Furthermore, every beat increase in heart rate from 1993 was associated with a 3% higher risk for all-cause death, 1% higher risk for CVD and 2% higher risk for CHD.
Conclusion: High RHR was associated with an increased risk of death and cardiovascular events in men from the general population. Moreover, individuals with an increase in RHR between 50 and 60 years of age had worse outcome.

Entities:  

Keywords:  all-cause death; cardiovascular events; population-based study; resting heart rate; risk factor

Year:  2019        PMID: 31168369      PMCID: PMC6519434          DOI: 10.1136/openhrt-2018-000856

Source DB:  PubMed          Journal:  Open Heart        ISSN: 2053-3624


Resting heart rate (RHR) changes with age and is a known cardiovascular risk factor. Men with a RHR of over 75 beats per minute at 50 years of age have twice as high risk of all-cause death, cardiovascular disease and coronary heart disease during 21 years of follow-up compared with men with RHR of 55 beats per minute or below. The RHR at baseline and an increased RHR over time, compared with no change, are associated with increased risk of cardiovascular events. This study is clinically relevant in the sense that it can be misleading to use only a single RHR value to assess cardiovascular risk over a long period. Our findings demonstrate that both the RHR at baseline and an increase in RHR over time, as opposed to unchanged, were associated with worse cardiovascular outcome.

Introduction

Cardiovascular diseases (CVDs) are still the major cause of premature death in middle-aged populations. Resting heart rate (RHR) is known to be inversely related to average life span in homoeothermic mammals.1 Previous studies have demonstrated an association between elevated RHR and increased incident of CVDs and both all-cause and cardiovascular mortality in the general population.2–17 Sharashova et al reported an independent positive association between RHR and the risk of incident myocardial infarction, atrial fibrillation and both total death and cardiovascular death in men from a general population in Norway.2 Moreover, Aune et al observed a positive association between RHR and risk of CVD and all-cause mortality.3 However, in a meta-analysis, Zhang and coworkers showed that RHR was an independent predictor of coronary artery disease, stroke, sudden death and non-CVDs over all of the studies combined; however, when the analyses included only studies of general populations, RHR was not associated with sudden death.5 The risk for cardiovascular morbidity and mortality begins to increase in middle age18 and in the meantime RHR changes with age. Moreover, the impact of the incremental change in RHR on incident cardiovascular morbidity and mortality in middle-aged general populations has not been adequately studied. Therefore, the present study aimed to investigate the impact of RHR at baseline and the change in RHR over time on the risk of cardiovascular morbidity and mortality in a middle-aged general population.

Methods

Study population

‘The study of Men Born in 1943’ is a longitudinal, prospective, population-based study of men born in 1943 and living in the city of Gothenburg in western Sweden at the age of 50 years19. From the Swedish Population Register, a random sample of 50% of all men born in 1943 and living in Gothenburg received an invitation to attend the study in 1993 (n=1450). Of those invited, 798 (55%) accepted to participate in the investigation that included questionnaires and physical examination procedures. At the second examination in 2003, 749 of the 798 men who were still alive were invited; of these, 654 (82%) accepted to be re-examined. In the third examination in 2014, 536 of 688 men still alive (78%) attended this examination. The same methodology was used in all three examinations. The study complies with the Declaration of Helsinki. The Gothenburg Regional Research Ethics Board approved the study and informed consent has been obtained from the participants. The study is registered in Clinical Trials.gov (Identifier number: NCT03138122).

Data collection

At the baseline examination and at each re-examination, medical history of each participant was obtained and a physical examination was performed. In the 2014 visit, all study participants also underwent an echocardiography examination. Fasting venous blood samples were drawn in the morning and plasma levels of total serum cholesterol, triglycerides, Creatinine, high-density lipoprotein, N-terminal prohormone of brain natriuretic peptide (NT-pro-BNP) and interleukin 6 were analysed using standard laboratory procedures. Blood pressure was recorded in the right arm in the sitting position by a mercury sphygmomanometer. Body mass index (BMI) was calculated as weight (kg) divided by height squared (m2). Before the examination, all participants had completed questionnaires addressing their smoking habits, physical activity and family history of CVD, previous diseases and mental stress. Information on smoking habits was obtained by questionnaire. Participants were classified as never smokers, previous smokers or current smokers. Physical activity during leisure time was introduced at each examination and graded as follows: (1) mainly sedentary, (2) moderate exercise during leisure time, (3) regular exercise and training, (4) hard exercise or competitive sports. For analysis, grades 2, 3 and 4 were combined and grade 1 was defined as a sedentary lifestyle. Mental stress, with six response options, was defined as feeling tense, irritable or filled with anxiety or having sleeping difficulties as a result of conditions at work or at home: (1) never experienced stress, (2) one period of stress ever, (3) some periods in the past 5 years, (4) repeated periods during the past 5 years, (5) permanent stress during the past year and (6) permanent stress during the past 5 years, with 5 to 6 defined as mental stress.

Measurement of resting heart rate and group classification

Heart rate was measured by 12-lead ECG in the supine position in 1993, 2003 and 2014. Paper speed was 50 mm/s and calibration was 1 mV:10 mm. In 1993 and 2003, all ECGs were evaluated by one of the coauthors (POH); in 2014, the ECGs were evaluated by one of five physicians. When evaluating the ECGs, the physician was blinded to the clinical data. The study sample was divided into four groups according to their RHR in 1993: group 1: RHR<55 beats per minute (bpm), group 2: RHR 56–65 bpm, group 3: RHR 66–75 bpm and group 4: RHR>75 bpm. The change in RHR from 1993 to 2003 (ΔHR) was defined as RHR in 2003 minus RHR in 1993. We then separated the cohort into three subgroups according to ΔHR in the 10-year follow-up: (1) decreased RHR: ΔHR≤−5 bpm, (2) stable RHR: −5 bpm<ΔHR<5 bpm and (3) increased RHR: ΔHR≥5 bpm. These subgroups were compared for the outcome variables: all-cause mortality, cardiovascular disease (CVD)and coronary heart disease (CHD).

Follow-up procedures and endpoints

Participants were followed from 1 January 1993 to 31 August 2014. Outcome and clinical data were collected by reviewing medical charts, the Swedish Hospital Discharge Registry and the Swedish Death Registry for all participants from 1993 to 2014. Three major endpoints were applied in this study: CVD, CHD and all-cause mortality. The criteria used to define a CVD event were the time to first occurrence of myocardial infarction, heart failure, death resulting from CHD (410-414; I20-21), stroke, intermittent claudication, other cardiovascular deaths and revascularisation procedures. A history of CHD without hospitalisation or revascularisation did not meet our definition of CVD. CHD was defined as the first occurrence of myocardial infarction, coronary artery revascularisation and death resulting from CHD (410-414; I20-21). All endpoints were reviewed by one of five physicians.

Statistical analysis

Baseline demographic and clinical characteristics were stratified by heart rate at baseline (table 1) and according to different groups of heart rate change during follow-up (table 2). Descriptive statistics with normal distribution are presented as the mean value±SD and compared using one-way analysis of variance. Crude incidence rates were expressed as event rates, calculated as the number of events divided by the sum of follow-up years per 1000 person-years. The categorical variables were presented as simple frequencies and percentages and compared using Pearson’s χ² test. All time-to-event regression analyses were based on Cox proportional hazards models. The association between the RHR and outcome was tested in models including baseline RHR as a categorical variable with adjustment for the other risk factors at baseline: BMI, systolic blood pressure, smoking, mental stress, sedentary lifestyle, NT-pro-BNP and estimated Glomerular Filtration Rate (eGFR). HRs were calculated comparing the three higher groups of the RHR with the lowest, with 95% CIs and p values. Similar models were fitted with RHR in 1993 and 2003 as a continuous variable in each instance; the HRs and 95%CIs were calculated for each bpm increase in RHR. Similar models were used to determine the association between outcome and change in RHR during the first 10 years of follow-up. Individuals with stable and decreased RHR were compared with individuals with increased RHR. Time-to-event curves were presented by groups of the baseline RHR distribution, estimated with the Kaplan-Meier method and compared with a log-rank test.
Table 1

Baseline characteristics (1993) by heart rate groups

ParametersRHR<55(n=109)55≤RHR<65 (n=249)65≤RHR<75(n=248)RHR≥75(n=192)P value
Lifestyle
 Never smokers, n (%)47 (43.1)88 (35.3)73 (29.4)50 (26.0)0.001
 Previous smokers, n (%)39 (35.8)101 (40.6)86 (34.7)67 (34.9)0.030
 Current smokers, n (%)23 (21.1)60 (24.1)89 (35.9)75 (39.1)0.010
 Sedentary lifestyle, n (%)9 (8.3)30 (12.0)43 (17.3)43 (22.4)0.003
 Sleeping time per night, hour, mean±SD6.9±0.87.0±0.86.9±1.07.0±1.10.709
 Mental stress, n (%)10 (9.3)31 (12.5)51 (20.6)32 (16.8)0.020
Clinical characteristics
 BMI, kg/m2, mean±SD25.5±2.926.1±3.326.4±3.226.6±4.00.026
 Waist circumference, cm, mean±SD92.2±8.794.0±8.995.9±8.697.5±11.0<0.001
 Systolic BP, mm Hg, mean±SD124.5±15.2126.5±17.4128.5±16.5134.1±17.4<0.001
 Diastolic BP, mm Hg, mean±SD81.4±10.882.7±9.985.1±10.087.4±11.3<0.001
Medical history, n (%)
 Hypertension7 (6.5)13 (5.2)13 (5.2)17 (8.9)0.371
 Hyperlipidaemia,4 (3.7)5 (2.0)8 (3.2)17 (8.9)0.005
 Atrial fibrillation1 (1)3 (1)2 (1)3 (2)0.894
 Diabetes04 (2)6 (2.4)9 (4.7)0.206
 Stroke1 (1)01 (0.4)00.349
 Lung disease9 (8.3)18 (7.2)16 (6.5)13 (6.8)0.937
Laboratory characteristics, mean±SD
 Cholesterol, mmol/L5.7±0.95.9±1.15.9±1.06.1±1.10.016
 Triglyceride, mmol/L1.2±0.71.6±1.01.8±1.31.9±1.2<0.001
 HDL, mmol/L1.43±0.41.31±0.31.28±0.31.26±0.3<0.001
 Creatinine, mmol/L90.4±6.990.8±11.591.5±9.591.1±10.00.766
 NT-pro-BNP, pg/mL41.2±45.832.8±31.136.3±51.234.4±43.30.403
 IL-62.2±1.62.6±2.02.7±2.73.5±6.70.015

BMI, body mass index; BP, blood pressure; Bpm, beats per min; HDL, high-density lipoprotein; IL-6, interleukin 6; NT-pro-BNP, N-terminal prohormone of brain natriuretic peptide; RHR, resting heart rate.

Table 2

Baseline characteristics (1993) according to different patterns of heart rate change over time

ParametersIncreased HR group(n=111)Stable HR group(n=206)Decreased HR group(n=337)P value
RHR change from 1993 to 2013 mean±SD+(10±6)(4.±2)- (13±7)<0.001
Lifestyle
 Never smoker, n (%)41 (36.9)74 (35.9)107 (31.8)0.454
 Previous smoker, n (%)38 (34.2)83 (40.3)128 (38.0)0.432
 Current smoker, n (%)32 (28.8)49 (23.8)102 (30.3)0.532
 Sedentary lifestyle, n (%)10 (9.0)26 (12.6)55 (16.3)0.126
 Sleeping time per night, hour, mean±SD7.0±1.07.0±0.96.9±1.00.994
 Mental stress, n (%)17 (15.5)25 (12.2)52 (15.5)0.543
Clinical characteristics
 BMI, kg/m2, mean±SD25.8±3.325.8±3.126.6±3.40.014
 Waist circumference, cm, mean±SD93.1±8.494.0±8.696.6±9.3<0.001
 Systolic BP, mm Hg, mean±SD128.1±17.8127.0±16.2130.1±16.80.096
 Diastolic BP, mm Hg, mean±SD84.2±11.483.0±9.784.9±10.60.116
Medical history, n (%)
 Hypertension16 (14.5)30 (9.8)39 (11.6)0.446
 Hyperlipidaemia16 (14.5)20 (9.8)33 (9.8)0.334
 Atrial fibrillation1 (1)3 (1)2 (1)0.894
 Diabetes2 (1.8)2 (1.0)9 (2.7)0.388
 Stroke01 (0.5)00.336
 Lung disease4 (3.6)18 (8.7)18 (5.3)0.133
Laboratory characteristics, mean±SD
 Cholesterol, mmol/L5.9±1.05.8±1.05.9±1.00.216
 Triglyceride, mmol/L1.7±1.01.5±0.91.7±1.00.252
 HDL, mmol/L1.3±0.31.4±0.41.3±0.30.066
 Creatinine, mmol/L91.1±11.290.8±10.091.6±9.90.605
 NT-pro-BNP, pg/mL37.5±46.234.9±43.634.5±42.30.829
 IL-62.1±1.32.4±1.42.8±2.40.002

BP, blood pressure; HDL, high-density lipoprotein; IL-6, interleukin 6; NT-pro-BNP, N-terminal prohormone of brain natriuretic peptide.

Baseline characteristics (1993) by heart rate groups BMI, body mass index; BP, blood pressure; Bpm, beats per min; HDL, high-density lipoprotein; IL-6, interleukin 6; NT-pro-BNP, N-terminal prohormone of brain natriuretic peptide; RHR, resting heart rate. Baseline characteristics (1993) according to different patterns of heart rate change over time BP, blood pressure; HDL, high-density lipoprotein; IL-6, interleukin 6; NT-pro-BNP, N-terminal prohormone of brain natriuretic peptide. All statistical analyses were performed using SPSS 22 statistical software (SPSS, Chicago, Illinois, USA). Two-tailed tests of significance were performed for all comparisons, and the p value was set at p<0.05.

Results

Baseline characteristics in 1993

Participants in the higher RHR subgroups (55≦HR<65, 65≦HR<75 and HR≧75) were more likely to be current smokers, had more often a sedentary lifestyle and mental stress, higher BMI, wider waist circumference, higher systolic and diastolic blood pressure and were more likely to have a medical history of hypertension, hyperlipidaemia and diabetes than participants in the lower RHR subgroup (HR<55) (table 1). Baseline characteristics according to different groups of RHR change are presented in table 2.

Trend of the resting heart rate from 1993 to 2014

The average RHR decreased from 67±12 bpm in 1993 to 61±10 bpm in 2003 and remained unchanged in 2014. Participants with RHR<55 bpm were almost twice as many in 2003 (29.2%) and 2014 (26.3%) compared with 1993 (13.7%). In contrast, participants with RHR>75 bpm were significantly fewer in 2003 (11.2%) and 2014 (11.2%) compared with 1993 (24.1%) (figure 1).
Figure 1

Trend of heart rate distributions from 1993, 2003 to 2014. I bars represent the SD. RHR, resting heart rate.

Trend of heart rate distributions from 1993, 2003 to 2014. I bars represent the SD. RHR, resting heart rate.

The relationship between baseline heart rate in 1993 and the outcome

Of the 798 male participants included in the analysis, 119 (14.9%) died before the age of 71 years; 237 (29.7%) participants experienced CVD and 113 (14.2%) experienced CHD during a follow-up of 21 years. When the population was divided into subgroups based on the 1993 RHR, the incidence of all-cause death, CVD and CHD were highest in participants with high RHR (table 3, figure 2) RHR was also analysed as a continuous variable at two periods: for 21 years from 1993 to 2014 and during 11 years from 2003 to 2014 (figure 3). We found that every increase in beat in RHR from 1993 was associated with a 3% higher risk for all-cause death (HR 1.03, 95% CI 1.01 to 1.04, p<0.001), a 1% higher risk for CVD (HR 1.01, 95% CI 1.00 to 1.02, p=0.027) and a 2% higher risk for CHD (HR 1.02, 95% CI 1.01 to 1.04, p=0.008). Moreover, a trend that higher RHR from 1993 increased the risk of all-cause death, CVD and CHD was observed, whereas the higher RHR from 2003 increased only the risk of all-cause death.
Table 3

Outcome data according to resting heart rate subgroups, 1993

All-cause deathCardiovascular diseaseCoronary heart disease
No events (%)ER (*1000 py)HR (95% CI)P valueNo events (%)ER (*1000 py)HR (95% CI)P valueNo events (%)ER (*1000 py)HR (95% CI)P value
UnadjustedAdjustedUnadjustedAdjustedUnadjustedAdjusted
RHR<55(n=109)10 (9.2)1 (ref)1 (ref)23 (21.1)1 (ref)1 (ref)10 (9.2)1 (ref)1 (ref)
4.310.00.0034.30.753
55≤RHR<65(n=249)30 (12)1.3 (0.7 to 2.7)1.1 (0.5 to 2.3)67 (27.0)1.3 (0.8 to 2.1)1.3 (0.8 to 2.1)25 (10)1.1 (0.5 to 2.3)1.1 (0.5 to 2.3)
5.70.4320.80712.80.2340.2744.80.7570.826
65≤RHR<75(n=248)34 (13.7)1.5 (0.8 to 3.1)1.3 (0.6 to 2.6)75 (30.2)1.5 (1.0 to 2.4)1.4 (0.9 to 2.2)34 (13.7)1.5 (0.8 to 3.1)1.1 (0.5 to 2.4)
6.50.2450.53014.40.2340.1896.50.2310.742
RHR≥75(n=192)45 (23.2)2.8 (1.4 to 5.5)2.3 (1.2 to 4.7)72 (37.5)2.1 (1.3 to 3.4)1.8 (1.1 to 3.0)44 (22.9)2.9 (1.4 to 5.7)2.2 (1.1 to 4.5)
11.20.0050.01817.90.0020.01410.90.0030.025

Adjusted for body mass index, systolic blood pressure, smoking, sedentary lifestyle, mental stress, NT-pro-BNP and eGFR.

ER, event rate (1000 per year); NT-pro-BNP, N-terminal prohormone of brain natriuretic peptide; py, person years; RHR, resting heart rate; eGFR, estimated glomerular filtration rate.

Figure 2

Adjusted risk for outcome according to different heart rate strata: (A) cardiovascular disease; (B) coronary heart disease; (C) all-cause death.

Figure 3

Risk for cardiovascular disease and all-cause death according to RHR: (A) as categorical variable (HR≥75 bpm vs HR<75 bpm) and (B) as a continuous variable in 21 years 1993–2014 and 11 years 2003–2014. CVD, cardiovascular disease; CHD, coronary heart disease; RHR, resting heart rate.

Adjusted risk for outcome according to different heart rate strata: (A) cardiovascular disease; (B) coronary heart disease; (C) all-cause death. Risk for cardiovascular disease and all-cause death according to RHR: (A) as categorical variable (HR≥75 bpm vs HR<75 bpm) and (B) as a continuous variable in 21 years 1993–2014 and 11 years 2003–2014. CVD, cardiovascular disease; CHD, coronary heart disease; RHR, resting heart rate. Outcome data according to resting heart rate subgroups, 1993 Adjusted for body mass index, systolic blood pressure, smoking, sedentary lifestyle, mental stress, NT-pro-BNP and eGFR. ER, event rate (1000 per year); NT-pro-BNP, N-terminal prohormone of brain natriuretic peptide; py, person years; RHR, resting heart rate; eGFR, estimated glomerular filtration rate. Men with the highest RHR (>75 bpm) in 1993 had a more than twofold increased risk of all-cause death compared with those with <55 bpm in 1993 (HR 2.34, 95% CI 1.16 to 4.74, p=0.018) in the adjusted Cox regression models. Similar results were found for CVD (HR 1.82, 95% CI 1.13 to 2.95, p=0.014) and CHD (HR 2.24, 95% CI 1.11 to 4.54, p=0.025) (table 4).
Table 4

Impact of the change in resting heart rate 1993 to 2003 on outcome

All-cause deathCardiovascular diseaseCoronary heart disease
No events (%)ER (*1000 py)HR(95% CI)P valueNo events(%)ER (*1000 py)HR(95% CI)P valueNo events(%)ER (*1000 py)HR(95% CI)P value
UnadjustedAdjustedUnadjustedAdjustedUnadjustedAdjusted
Increased RHR(n=111)12 (10.8)1 (ref)1 (ref)38 (34.2)1 (ref)1 (ref)19 (17.1)1 (ref)1 (ref)
5.116.38.2
Unchanged RHR(n=205)15 (7.3)3.40.65 (0.30 to 1.39)0.2650.71 (0.32 to 1.61)0.41744 (21.4)10.20.54 (0.35 to 0.83)0.0050.56 (0.35 to 0.87)0.01120 (9.7)4.60.53 (0.28 to 0.99)0.0470.64 (0.32 to 1.25)0.636
Decreased RHR(n=338)28 (8.3)3.90.75 (0.38 to 1.47)0.3940.76 (0.37 to 1.59)0.467111 (32.9)15.60.93 (0.65 to 1.35)0.7100.91 (0.61 to 1.34)0.62255 (16.3)7.80.95 (0.57 to 1.60)0.9521.08 (0.60 to 1.92)0.808

Adjusted for body mass index, systolic blood pressure, smoking, sedentary lifestyle, mental stress, NT-pro-BNP and eGFR.

ER, event rate (1000 per year); NT pro BNP, N-terminal prohormone of brain natriuretic peptide; py, person years;; RHR, resting heart rate.

Impact of the change in resting heart rate 1993 to 2003 on outcome Adjusted for body mass index, systolic blood pressure, smoking, sedentary lifestyle, mental stress, NT-pro-BNP and eGFR. ER, event rate (1000 per year); NT pro BNP, N-terminal prohormone of brain natriuretic peptide; py, person years;; RHR, resting heart rate.

Impact of the changes in the resting heart rate on outcome

Of the 654 men who participated in the 2003 examination, 111 had increased RHR (increased >5 bpm) since 1993, 205 with a relatively unchanged RHR since 1993 and 338 had a decreased RHR (decreased <5 bpm). Cox proportional hazard models showed that individuals with a stable RHR from 1993 to 2003 had a 44% lower risk of CVD (HR 0.56, 95% CI 0.35 to 0.87, p=0.011) compared with those with increased RHR. Moreover, individuals with decreased RHR appeared to have a lower risk of CVD than those with increased RHR though the risk was not statistically significant. There was also a non-significant trend towards higher all-cause mortality in the participants with increased RHR compared with those with unchanged or decreased RHR (table 4, figure 4).
Figure 4

Adjusted overall risk for cardiovascular disease according to changes in heart rate. RHR, resting heart rate.

Adjusted overall risk for cardiovascular disease according to changes in heart rate. RHR, resting heart rate.

Discussion

In a randomly selected sample of men born in 1943 in Gothenburg from the general population, we found that baseline RHR was an independent risk factor of all-cause death, CVD and CHD during a 21-year follow-up, and that increased RHR between 50 and 60 years of age was associated with an increased risk of CVD compared with individuals with stable RHR. Our study is unique in this regard because the follow-up was 21 years with three separate examination occasions allowing us for the first time to determine the relevance of the change in RHR over time. Our finding that increased RHR was related to an increased risk of CVD is particularly noteworthy given that RHR may change during the life course. For the first time, our results demonstrate an association between the mode of RHR change and outcome. Despite a relatively lower baseline RHR (59±10), individuals with increasing RHR during follow-up had the worst outcome compared with those with a stable RHR. This finding is clinically relevant in that it highlights that it may be misleading to use only a single RHR value to assess the risk over long periods, as is the case in the Tromsø study.2 Both the follow-up duration and change in RHR are important factors.

Possible mechanisms

RHR may affect the outcome through various mechanisms. High RHR could increase haemodynamic stress and shorten the diastolic phase, which could increase mechanical load, shear stress, blood pressure and cardiac work, thereby increasing oxygen consumption. These effects could cause coronary atherosclerosis and myocardial ischaemia.20–22 High RHR is also a marker of sympathetic overactivity, which is associated with an increased risk of cardiovascular events.23–25 Sympathetic overactivity may also confer an increased risk of obesity that could induce insulin resistance, higher levels of uric acid, lipid abnormalities and hypertension.20 These adverse events associated with sympathetic overactivity may therefore account for the observed association between high RHR and increased risk of both cardiovascular and non-cardiovascular events. One main concern lies in whether a high RHR is an independent predictor given that higher heart rates coexist with traditional risk factors of cardiovascular disease and poor health status.16 26–29 However, the present results were adjusted for conventional risk factors.

Strengths and limitations

The strengths of this study were the randomly selected cohort from the general population, the prospective long longitudinal (21-year follow-up) design and the repeated heart rate measurement after 10 years. Moreover, we had a high attendance rate and information on a number of cardiovascular risk factors, which allowed us to adjust the regression models for these factors. The limitations were: (1) only men were included, (2) the participants’ age may have caused age itself to be a strong competing risk factor, (3) and the relatively low uptake.

Conclusion

In this study of men followed between 50 and 71 years of age, our findings demonstrate that both the RHR>75 beat per minute at baseline and an increase in RHR over time compared with unchanged RHR had worse cardiovascular outcome.
  28 in total

1.  Reporting participation in epidemiologic studies: a survey of practice.

Authors:  Lindsay M Morton; Jack Cahill; Patricia Hartge
Journal:  Am J Epidemiol       Date:  2005-12-07       Impact factor: 4.897

2.  Predicting sudden cardiac death in healthy humans: is there more to autonomic balance than we know?

Authors:  Rakesh Gopinathannair; James B Martins
Journal:  Heart Rhythm       Date:  2007-11-01       Impact factor: 6.343

3.  Relation between age and cardiovascular disease in men and women with diabetes compared with non-diabetic people: a population-based retrospective cohort study.

Authors:  Gillian L Booth; Moira K Kapral; Kinwah Fung; Jack V Tu
Journal:  Lancet       Date:  2006-07-01       Impact factor: 79.321

4.  Resting heart rate is associated with cardiovascular and all-cause mortality after adjusting for inflammatory markers: the Copenhagen City Heart Study.

Authors:  Magnus T Jensen; Jacob L Marott; Kristine H Allin; Børge G Nordestgaard; Gorm B Jensen
Journal:  Eur J Prev Cardiol       Date:  2011-04-27       Impact factor: 7.804

5.  Resting heart rate as a tool for risk stratification in primary care: does it provide incremental prognostic information?

Authors:  David M Leistner; Jens Klotsche; Sylvia Palm; Lars Pieper; Günter K Stalla; Hendrik Lehnert; Sigmund Silber; Winfried März; Hans-Ulrich Wittchen; Andreas M Zeiher
Journal:  Eur J Prev Cardiol       Date:  2011-02-18       Impact factor: 7.804

6.  Elevated resting heart rate is an independent risk factor for cardiovascular disease in healthy men and women.

Authors:  Marie Therese Cooney; Erkki Vartiainen; Tiina Laatikainen; Tinna Laakitainen; Anne Juolevi; Alexandra Dudina; Ian M Graham
Journal:  Am Heart J       Date:  2010-04       Impact factor: 4.749

Review 7.  Resting heart rate in cardiovascular disease.

Authors:  Kim Fox; Jeffrey S Borer; A John Camm; Nicolas Danchin; Roberto Ferrari; Jose L Lopez Sendon; Philippe Gabriel Steg; Jean-Claude Tardif; Luigi Tavazzi; Michal Tendera
Journal:  J Am Coll Cardiol       Date:  2007-08-13       Impact factor: 24.094

8.  Heart rate and mortality from cardiovascular causes: a 12 year follow-up study of 379,843 men and women aged 40-45 years.

Authors:  Aage Tverdal; Vidar Hjellvik; Randi Selmer
Journal:  Eur Heart J       Date:  2008-09-27       Impact factor: 29.983

Review 9.  Elevated heart rate in cardiovascular diseases: a target for treatment?

Authors:  Paolo Palatini
Journal:  Prog Cardiovasc Dis       Date:  2009 Jul-Aug       Impact factor: 8.194

Review 10.  Heart rate, lifespan, and mortality risk.

Authors:  Gus Q Zhang; Weiguo Zhang
Journal:  Ageing Res Rev       Date:  2008-10-30       Impact factor: 10.895

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  12 in total

1.  Deviations from normal bedtimes are associated with short-term increases in resting heart rate.

Authors:  Louis Faust; Keith Feldman; Stephen M Mattingly; David Hachen; Nitesh V Chawla
Journal:  NPJ Digit Med       Date:  2020-03-23

2.  Temporal Changes in Resting Heart Rate, Left Ventricular Dysfunction, Heart Failure and Cardiovascular Disease: CARDIA Study.

Authors:  Chike C Nwabuo; Duke Appiah; Henrique T Moreira; Henrique D Vasconcellos; Queen N Aghaji; Bharath Ambale-Venkatesh; Jamal S Rana; Norrina B Allen; Donald M Lloyd-Jones; Pamela J Schreiner; Samuel S Gidding; João A C Lima
Journal:  Am J Med       Date:  2020-01-27       Impact factor: 4.965

3.  PTSD symptom clusters and cardiovascular responses to stress: Reactivity and recovery.

Authors:  Sharon Y Lee; Crystal L Park; Burak T Cilhoroz; Linda S Pescatello
Journal:  J Psychosom Res       Date:  2022-07-29       Impact factor: 4.620

4.  Medium-Term Outcomes in COVID-19.

Authors:  Zaki Akhtar; Sumeet Sharma; Ahmed I Elbatran; Lisa W M Leung; Christos Kontogiannis; Michael Spartalis; Alice Roberts; Abhay Bajpai; Zia Zuberi; Mark M Gallagher
Journal:  J Clin Med       Date:  2022-04-05       Impact factor: 4.241

5.  Age, sex and disease-specific associations between resting heart rate and cardiovascular mortality in the UK BIOBANK.

Authors:  Zahra Raisi-Estabragh; Jackie Cooper; Rebekah Judge; Mohammed Y Khanji; Patricia B Munroe; Cyrus Cooper; Nicholas C Harvey; Steffen E Petersen
Journal:  PLoS One       Date:  2020-05-29       Impact factor: 3.240

6.  Evaluation of the prescribing practice of guideline-directed medical therapy among ambulatory chronic heart failure patients.

Authors:  Daya Ram Parajuli; Sepehr Shakib; Joanne Eng-Frost; Ross A McKinnon; Gillian E Caughey; Dean Whitehead
Journal:  BMC Cardiovasc Disord       Date:  2021-02-18       Impact factor: 2.298

7.  Body iron stores had no impact on coronary heart disease outcomes: a middle-aged male cohort from the general population with 21-year follow-up.

Authors:  Salim Bary Barywani; Erik Östgärd Thunström; Zacharias Mandalenakis; Per-Olof Hansson
Journal:  Open Heart       Date:  2022-04

Review 8.  Is Heart Rate a Confounding Factor for Photoplethysmography Markers? A Systematic Review.

Authors:  Md Rizman Md Lazin Md Lazim; Amilia Aminuddin; Kalaivani Chellappan; Azizah Ugusman; Adila A Hamid; Wan Amir Nizam Wan Ahmad; Mohd Shawal Faizal Mohamad
Journal:  Int J Environ Res Public Health       Date:  2020-04-10       Impact factor: 3.390

9.  Deviations from normal bedtimes are associated with short-term increases in resting heart rate.

Authors:  Louis Faust; Keith Feldman; Stephen M Mattingly; David Hachen; Nitesh V Chawla
Journal:  NPJ Digit Med       Date:  2020-03-23

10.  Optimal Continuous Positive Airway Pressure Treatment of Obstructive Sleep Apnea Reduces Daytime Resting Heart Rate in Prediabetes: A Randomized Controlled Study.

Authors:  Sushmita Pamidi; Florian Chapotot; Kristen Wroblewski; Harry Whitmore; Tamar Polonsky; Esra Tasali
Journal:  J Am Heart Assoc       Date:  2020-10-01       Impact factor: 5.501

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