Literature DB >> 23316296

Resting heart rate and the risk of microvascular complications in patients with type 2 diabetes mellitus.

Graham S Hillis1, Jun Hata, Mark Woodward, Vlado Perkovic, Hisatomi Arima, Clara K Chow, Sophia Zoungas, Anushka Patel, Neil R Poulter, Giuseppe Mancia, Bryan Williams, John Chalmers.   

Abstract

BACKGROUND: A higher resting heart rate is associated with an increased probability of cardiovascular complications and premature death in patients with type 2 diabetes mellitus. The impact of heart rate on the risk of developing microvascular complications, such as diabetic retinopathy and nephropathy, is, however, unknown. The present study tests the hypothesis that a higher resting heart rate is associated with an increased incidence and a greater progression of microvascular complications in patients with type 2 diabetes mellitus. METHODS AND
RESULTS: The relation between baseline resting heart rate and the development of a major microvascular event was examined in 11 140 patients who participated in the Action in Diabetes and Vascular Disease: Preterax and Diamicron Modified Release Controlled Evaluation (ADVANCE) study. Major microvascular events were defined as a composite of new or worsening nephropathy or new or worsening retinopathy. Patients with a higher baseline heart rate were at increased risk of a new major microvascular complication during follow-up (adjusted hazard ratio: 1.13 per 10 beats per minute; 95% confidence interval: 1.07-1.20; P<0.001). The excess hazard was evident for both nephropathy (adjusted hazard ratio: 1.16 per 10 beats per minute; 95% confidence interval: 1.08-1.25) and retinopathy (adjusted hazard ratio: 1.11 per 10 beats per minute; 95% confidence interval: 1.02-1.21).
CONCLUSION: Patients with type 2 diabetes mellitus who have a higher resting heart rate experience a greater incidence of new-onset or progressive nephropathy and retinopathy. CLINICAL TRIAL REGISTRATION: URL: http://www.clinicaltrials.gov. Unique identifier: NCT00145925. http://www.advance-trial.com/static/html/prehome/prehome.asp.

Entities:  

Keywords:  diabetes mellitus, type 2; heart rate; microcirculation

Mesh:

Year:  2012        PMID: 23316296      PMCID: PMC3541618          DOI: 10.1161/JAHA.112.002832

Source DB:  PubMed          Journal:  J Am Heart Assoc        ISSN: 2047-9980            Impact factor:   5.501


Introduction

Microalbuminuria and retinopathy are indicators of microvascular dysfunction, and both predict a poorer outcome in patients with diabetes[1-3] and in individuals with normal glycemic control.[4,5] In particular, even mild degrees of microalbuminuria are a strong and independent predictor of major cardiac events in the general population[6,7] and among patients with diabetes[4] and hypertension.[8] Likewise, several studies have reported an association between a higher resting heart rate and an increased risk of cardiovascular complications in unselected populations and in patients with cardiac disease.[9,10] Recently, we reported a similar relation between resting heart rate and all-cause death, cardiovascular death, and major cardiovascular events in patients with type 2 diabetes mellitus.[11] This was not attenuated after adjustment for other factors that influence heart rate and outcome.[11] Although a growing volume of data supports an association between higher resting heart rate and a greater risk of macrovascular events in patients with type 2 diabetes, the impact of heart rate on the risk of developing microvascular complications, such as diabetic retinopathy and nephropathy, is unknown. There are, however, reasons to suspect that an elevated resting heart rate might predict microvascular outcomes in this setting. In patients with hypertension, a higher resting heart rate has been associated with a greater prevalence of microalbuminuria,[12,13] a relation that was maintained after correction for a variety of potential confounding factors. Similarly, a weak, but significant and independent, association between baseline resting heart rate and urinary albumin:creatinine ratio (ACR) was recently reported in the Randomised Olmesartan and Diabetes Microalbuminuria Prevention study.[14] However, not all existing data support an association between prevalent heart rate and albuminuria,[15] and the cross-sectional results that are currently available cannot address the relation between heart rate and incident or progressive microalbuminuria. A higher resting heart rate has been reported in patients with diabetic retinopathy[16] and could be due to the relation between retinopathy and autonomic dysfunction. Once again, however, the importance of heart rate in the development or progression of diabetic eye disease remains unclear. Using data from the Action in Diabetes and Vascular Disease: Preterax and Diamicron Modified Release Controlled Evaluation (ADVANCE) study (http://ClinicalTrials.gov No. NCT00145925), we tested the hypothesis that a higher resting heart rate would be associated with both an increased incidence and a greater progression of microvascular complications in patients with type 2 diabetes mellitus.

Methods

The ADVANCE study recruited 11 140 patients with type 2 diabetes mellitus from 215 centers in 20 countries between June 2001 and March 2003.[17,18] The study made 2 randomized comparisons: (1) a double-blind assessment of the efficacy of a fixed-combination perindoprilindapamide (2 mg/0.625 mg for 3 months, increasing, if tolerated, to 4 mg/1.25 mg) versus placebo and (2) an open-label evaluation of an intensive glucose-lowering regimen with modified-release gliclazide, with a target hemoglobin A1c of ≤6.5%, versus standard guideline-based glycemic control. The study was approved by the local ethics committee for each participating center, and all participants provided written informed consent. Participants were ≥55 years of age and had been diagnosed with type 2 diabetes mellitus after the age of 30 years. In addition, they were required to have a history of cardiovascular disease or ≥1 additional cardiovascular risk factor.[19] Detailed study methods[19] and the main results[17,18] of the ADVANCE study have been reported previously. Heart rate was measured at the same time as blood pressure with a digital monitor (Omron HEM-705CP, Omron Healthcare Inc, Lake Forest, IL). Recordings were made after the patient had been resting in a seated position for a minimum of 5 minutes. Three readings were taken, and the mean of the latter 2 was used. Weight, height, urinary ACR, serum creatinine, fasting lipid levels, and glycosylated hemoglobin also were measured at baseline. The present study assesses the relation between resting heart rate and the development of a major microvascular event (a coprimary endpoint of the ADVANCE study) over the length of the trial (median follow-up of 4.4 years). Major microvascular events were defined, a priori, as a composite of new or worsening nephropathy or retinopathy. The former was defined as ≥1 of the following: the development of macroalbuminuria, defined as a urinary ACR of >300 μg albumin per milligram of creatinine (confirmed by 2 positive results); doubling of the serum creatinine level to ≥200 μmol/L (unless in the context of acute illness, with subsequent recovery of renal function, or in the context of the terminal phase of illness); the need for renal replacement therapy due to diabetic kidney disease, in the absence of another acute medical cause that could require transient dialysis; or death due to renal disease. Participants had their creatinine levels measured as part of the study protocol at baseline, 4 months, and 1 year and annually thereafter until completion of the study. Renal function was checked out with these time points at the discretion of their treating clinicians. Urinary ACR was measured locally as part of the study protocol at baseline, 2 years, 4 years, and completion of the study. New or worsening retinopathy was defined as ≥1 of the following: the development of proliferative retinopathy (identified by the incidence of new blood vessels on the disc or elsewhere, vitreous hemorrhage, preretinal hemorrhage, fibrous proliferations on the disc or elsewhere in a participant known not to have this condition at entry); macular edema (characterized by a retinal thickening within 1 disc diameter of the macular center, in a participant known not to have this condition at entry); diabetes-related blindness (corrected visual acuity 3/60 or worse, persisting for ≥3 months and known to not be due to nondiabetic causes, in a participant known not to have this condition at entry); or the use of retinal photocoagulation therapy. Participants underwent formal eye examination and visual acuity testing at baseline, 2 years, 4 years, and completion of the study. Secondary endpoints were the individual components of the primary outcome (new or worsening nephropathy and new or worsening retinopathy). An Endpoint Adjudication Committee, unaware of treatment allocation, reviewed source documentation for all individuals who had a suspected primary endpoint of the ADVANCE study. This included all the microvascular endpoints considered in the present analyses.

Statistical Analyses

Baseline resting heart rate was considered both as a continuous variable and after grouping into approximately equal fifths according to its quintiles. Trends in baseline characteristics across the fifths of heart rate were compared with linear and logistic regression. Cox regression analyses were used to calculate hazard ratios with 95% confidence intervals. These were performed in models adjusted for age, sex, ADVANCE study blood pressure treatment arm, and ADVANCE study glycemic control arm and in models adjusted for multiple baseline covariates (age, sex, ADVANCE study randomized treatment, body mass index, duration of diabetes, glycosylated hemoglobin, estimated glomerular filtration rate, urinary ACR, systolic blood pressure, diastolic blood pressure, history of a prior macrovascular complication of diabetes [myocardial infarction, stroke, hospital admission for a transient ischemic attack, hospital admission for unstable angina, coronary revascularization, peripheral revascularization or amputation secondary to peripheral vascular disease], history of hospitalization for heart failure, participation in moderate or vigorous exercise for >15 minutes at least once weekly, current cigarette smoking, total cholesterol, triglycerides, atrial fibrillation, treatment with calcium channel blockers, and treatment with β-blockers). Interactions were tested by adding appropriate terms to Cox models. Linearity was assessed by comparing the categorical model with the linear trend model.[20] It is possible that death during follow-up might affect the association between heart rate and the outcomes of interest. Therefore, we estimated subdistribution hazard ratios after correcting for the competing risk of death according to the methods of Fine and Gray.[21] Odds ratios and 95% confidence intervals for albuminuria at baseline and microvascular diabetic eye disease at baseline among the fifths of heart rate were estimated by logistic regression. Analyses were performed in SAS v9.2 (SAS Institute, Cary, NC), SPSS v18 (SPSS Inc., Chicago, IL), and Stata 11 (Statacorp LP, College Station, TX), and all reported P values are 2 sided, with the 5% threshold used to determine significance.

Results

Of the 11 140 patients randomized into the ADVANCE study, 2 individuals did not have their baseline resting heart rate recorded. The remaining 11 138 patients are included in the present analyses. Participants had a mean age of 66 years, and 58% were male. The mean heart rate in the study population, ± standard deviation, was 74±12 beats per minute, with a range of 33 to 140 beats per minute. The characteristics of the study population according to baseline resting heart rate are shown in Table 1.
Table 1.

Baseline Characteristics by Baseline Fifths of Heart Rate

Total (n=11 138)Lowest Fifth (n=2066)2nd Fifth (n=2393)3rd Fifth (n=2178)4th Fifth (n=2195)Highest Fifth (n=2306)P for Trend
Heart rate, bpm, mean (range)74 (33–140)57 (33–63)67 (64–70)74 (71–76)80 (77–83)91 (84–140)

Age, y, mean±SD65.8±6.467.1±6.365.9±6.465.5±6.565.5±6.465.1±6.2<0.001

Female, n (%)4733 (42)664 (32)989 (41)973 (45)1050 (48)1057 (46)<0.001

Active treatment arm for blood pressure, n (%)5568 (50)1024 (50)1195 (50)1072 (49)1127 (51)1150 (50)0.56

Active treatment arm for glycemic control, n (%)5570 (50)1007 (49)1216 (51)1050 (48)1098 (50)1199 (52)0.09

Systolic blood pressure, mm Hg, mean±SD145±22147±22144±21143±21145±21146±210.18

Diastolic blood pressure, mm Hg, mean±SD81±1179±1180±1181±1181±1182±11<0.001

Body mass index, kg/m2, mean±SD28.3±5.228.8±5.028.5±5.028.2±5.328.2±5.228.2±5.3<0.001

Current cigarette smoker, n (%)1550 (14)234 (11)314 (13)333 (15)324 (15)345 (15)<0.001

Regular exercise, n (%)5112 (46)1029 (50)1149 (48)994 (46)970 (44)970 (42)<0.001

History of myocardial infarction, n (%)1334 (12)392 (19)316 (13)251 (12)205 (9)170 (7)<0.001

History of stroke, n (%)1022 (9)168 (8)197 (8)198 (9)217 (10)242 (10)<0.001

History of hospitalization for heart failure, n (%)356 (3)66 (3)71 (3)66 (3)71 (3)82 (4)0.38

Previous or current atrial fibrillation, n (%)846 (8)199 (10)154 (6)128 (6)173 (8)192 (8)0.68

Prior macrovascular disease, n (%)3589 (32)843 (41)806 (34)677 (31)630 (29)633 (27)<0.001

Prior microvascular disease, n (%)1152 (10)179 (9)249 (10)206 (9)242 (11)276 (12)<0.001

Serum total cholesterol, mmol/L, mean±SD5.20±1.194.94±1.085.14±1.175.21±1.205.30±1.185.37±1.27<0.001

Serum triglycerides, mmol/L, mean±SD1.96±1.291.84±1.141.88±1.151.91±1.212.04±1.352.11±1.52<0.001

Duration of diabetes, y, mean±SD7.9±6.47.7±6.67.6±6.38.0±6.58.2±6.28.2±6.2<0.001

Hemoglobin A1c, %, mean±SD7.5±1.67.2±1.37.3±1.47.5±1.67.7±1.67.8±1.8<0.001

Serum creatinine, μmol/L, mean±SD87±2591±2387±2485±2484±2786±28<0.001

Estimated GFR, mL/min per 1.73m2, mean±SD78±2575±2078±2279±2780±2879±26<0.001

Urinary ACR, mg/mmol, mean (IQR)1.7 (0.8–4.5)1.4 (0.7–3.6)1.6 (0.7–4.1)1.6 (0.8–3.9)1.9 (0.9–5.2)2.0 (0.9–5.5)<0.001

β-Blocker, n (%)2729 (25)938 (45)682 (28)439 (20)365 (17)305 (13)<0.001

Calcium channel antagonist, n (%)3426 (31)666 (32)706 (30)638 (29)647 (29)769 (33)0.38

Categorical data are presented as numbers and percentages and compared with logistic regression models. Normally distributed continuous data are presented as mean ± standard deviation (SD) and are compared with a general linear model. Skewed data are presented as median and interquartile range (IQR) and are compared with a linear model after log-transformation. ACR indicates albumin:creatinine ratio; GFR, glomerular filtration rate (estimated by the Modification of Diet in Renal Disease formula). Regular exercise was defined as moderate or vigorous exercise for >15 minutes at least once per week.

Baseline Characteristics by Baseline Fifths of Heart Rate Categorical data are presented as numbers and percentages and compared with logistic regression models. Normally distributed continuous data are presented as mean ± standard deviation (SD) and are compared with a general linear model. Skewed data are presented as median and interquartile range (IQR) and are compared with a linear model after log-transformation. ACR indicates albumin:creatinine ratio; GFR, glomerular filtration rate (estimated by the Modification of Diet in Renal Disease formula). Regular exercise was defined as moderate or vigorous exercise for >15 minutes at least once per week.

Heart Rate and Microvascular Disease at Baseline

At baseline, 793 patients (7.1%) had microvascular diabetic eye disease (proliferative retinopathy, retinal photocoagulation therapy, macular edema, or blindness in at least one eye thought to be due to diabetes). These individuals had a mean resting heart rate of 76±12 beats per minute, compared to 74±12 beats per minute in patients without microvascular eye disease at baseline (P<0.001). At the time of randomization, 7376 participants (66.2%) had normal urinary albumin levels (urinary ACR <3.4 mg/mmol [<30 μg/mg]), 2861 (25.7%) had microalbuminura (urinary ACR 3.4–33.9 mg/mmol [30–300 μg/mg]), and 401 (3.6%) had macroalbuminuria (urinary ACR >33.9 mg/mmol [>300 μg/mg]). Five hundred patients (4.5%) had missing ACR data. Figure 1 shows the prevalence of albuminuria according to baseline resting heart rate (P for trend <0.001). The age- and sex-adjusted and multivariable-adjusted odds ratios for (a) albuminuria and (b) microvascular diabetic eye disease at baseline according to fifth of resting heart rate (with the lowest fifth as the reference) are shown in Tables 2 and 3. These data confirm a cross-sectional association between baseline heart rate and both complications.
Figure 1.

Prevalence of albuminuria according to fifths of heart rate at baseline.

Table 2.

Albuminuria at Baseline According to Fifth of Resting Heart Rate

Adjusted for Age and SexFully Adjusted*


Odds Ratio95% Confidence IntervalPOdds Ratio95% Confidence IntervalP
Lowest fifth1Reference1Reference

2nd fifth1.100.96–1.260.171.130.98–1.300.10

3rd fifth1.090.95–1.250.241.080.93–1.250.33

4th fifth1.341.17–1.54<0.0011.271.10–1.470.001

Highest fifth1.501.31–1.71<0.0011.351.17–1.56<0.001

Adjusted for age, sex, body mass index, duration of diabetes, glycosylated hemoglobin, estimated glomerular filtration rate, systolic blood pressure, diastolic blood pressure, history of hospitalization for heart failure, prior macrovascular disease (see text), current cigarette smoking, participation in moderate or vigorous exercise for >15 minutes at least once weekly, total cholesterol, triglyceride level, atrial fibrillation, use of calcium channel blockers, and use of β-blockers.

Table 3.

Microvascular Diabetic Eye Disease at Baseline According to Fifth of Resting Heart Rate

Adjusted for Age and SexFully Adjusted*


Odds Ratio95% Confidence IntervalPOdds Ratio95% Confidence IntervalP
Lowest fifth1Reference1Reference

2nd fifth1.270.99–1.620.061.290.99–1.670.06

3rd fifth1.220.95–1.570.131.190.91–1.570.21

4th fifth1.381.08–1.770.011.381.06–1.810.02

Highest fifth1.621.28–2.06<0.0011.591.22–2.07<0.001

Adjusted for variables listed in footnote to Table 2, plus urinary albumin:creatinine ratio.

Prevalence of albuminuria according to fifths of heart rate at baseline. Albuminuria at Baseline According to Fifth of Resting Heart Rate Adjusted for age, sex, body mass index, duration of diabetes, glycosylated hemoglobin, estimated glomerular filtration rate, systolic blood pressure, diastolic blood pressure, history of hospitalization for heart failure, prior macrovascular disease (see text), current cigarette smoking, participation in moderate or vigorous exercise for >15 minutes at least once weekly, total cholesterol, triglyceride level, atrial fibrillation, use of calcium channel blockers, and use of β-blockers. Microvascular Diabetic Eye Disease at Baseline According to Fifth of Resting Heart Rate Adjusted for variables listed in footnote to Table 2, plus urinary albumin:creatinine ratio.

Heart Rate and Microvascular Complications

During a median follow-up of 4.4 years, 916 patients (8.2%) experienced a major microvascular event. Three hundred and ninety-seven patients (3.6%) developed new or worsening nephropathy, and 575 (5.2%) developed new or worsening retinopathy. Fifteen patients were lost to follow-up (vital status unknown) at the end of follow-up and were censored at the last follow-up assessment. In addition, 879 patients (7.9%) died during follow-up. Patients who died before the occurrence of each outcome were censored at the time of death (786 patients for major microvascular events, 840 for retinopathy, and 817 for nephropathy were censored at the date of death). A higher baseline resting heart rate was associated with a greater risk of developing a major microvascular complication during follow-up (Table 4). After adjustment for age, sex, and randomized treatment, a 10-beats-per-minute increase in baseline resting heart rate was associated with an 18% increase in the observed hazard. This remained after adjustment for potential confounders. The excess hazard was apparent for both components of the primary outcome (nephropathy and retinopathy) but was greater for the development of new or worsening diabetic eye disease (Table 4), where a clear linear relation is apparent. In contrast, the relation between heart rate and nephropathy is nonlinear, with the excess hazard, relative to the lowest fifth, only seen clearly in patients with a heart rate in the upper fifth (Table 4). The risk estimates were essentially unchanged even after correction for the competing risk of death (data not shown).
Table 4.

Effects of Heart Rate on Major Microvascular Outcomes

Adjusted for Age, Sex, and Randomized TreatmentFully Adjusted*


No. Events/No. at RiskHR (95% CI)PHR (95% CI)P
Major microvascular events

 Heart rate per 10 bpm916/11 1381.18 (1.12–1.24)<0.0011.13 (1.07–1.20)<0.001

 Heart rate fifths

  Lowest fifth (33–63 bpm)132/20661.00 (reference)1.00 (reference)

  2nd fifth (64–70 bpm)184/23931.23 (0.99–1.54)0.071.27 (1.00–1.61)0.047

  3rd fifth (71–76 bpm)161/21781.19 (0.94–1.49)0.151.15 (0.90–1.47)0.27

  4th fifth (77–83 bpm)194/21951.45 (1.16–1.81)0.0011.39 (1.09–1.76)0.008

 Highest fifth (84–140 bpm)245/23061.78 (1.44–2.20)<0.0011.63 (1.29–2.06)<0.001

P for trend<0.001<0.001

P for nonlinearity0.370.27

New or worsening retinopathy

 Heart rate per 10 bpm575/11 1381.22 (1.14–1.30)<0.0011.16 (1.08–1.25)<0.001

 Heart rate fifths

  Lowest fifth (33–63 bpm)71/20661.00 (reference)1.00 (reference)

  2nd fifth (64–70 bpm)96/23931.15 (0.84–1.56)0.381.13 (0.82–1.57)0.46

  3rd fifth (71–76 bpm)115/21781.51 (1.12–2.03)0.0071.44 (1.05–1.98)0.02

  4th fifth (77–83 bpm)139/21951.82 (1.36–2.43)<0.0011.67 (1.23–2.28)0.001

  Highest fifth (84–140 bpm)154/23061.94 (1.46–2.57)<0.0011.72 (1.26–2.34)<0.001

P for trend<0.001<0.001

P for nonlinearity0.700.69

New or worsening nephropathy

 Heart rate per 10 bpm397/11 1381.13 (1.04–1.22)0.0031.11 (1.02–1.21)0.01

 Heart rate fifths

  Lowest fifth (33–63 bpm)69/20661.00 (reference)1.00 (reference)

  2nd fifth (64–70 bpm)93/23931.24 (0.91–1.70)0.181.45 (1.04–2.02)0.03

  3rd fifth (71–76 bpm)58/21780.86 (0.60–1.21)0.380.90 (0.61–1.31)0.57

  4th fifth (77–83 bpm)69/21951.05 (0.75–1.47)0.781.10 (0.76–1.58)0.61

  Highest fifth (84–140 bpm)108/23061.60 (1.18–2.17)0.0031.61 (1.15–2.26)0.006

P for trend0.020.05

P for nonlinearity0.0050.003

HR indicates hazard ratio; CI, confidence interval.

Adjusted for age, sex, randomized treatment for blood pressure, randomized treatment for glucose, body mass index, duration of diabetes, glycosylated hemoglobin, prior macrovascular complication of diabetes (see text), estimated glomerular filtration rate, urinary albumin:creatinine ratio, systolic blood pressure, diastolic blood pressure, history of hospitalization for heart failure, regular exercise (see text), current cigarette smoking, total cholesterol, triglycerides, atrial fibrillation, use of calcium channel antagonists, and use of β-blockers.

Effects of Heart Rate on Major Microvascular Outcomes HR indicates hazard ratio; CI, confidence interval. Adjusted for age, sex, randomized treatment for blood pressure, randomized treatment for glucose, body mass index, duration of diabetes, glycosylated hemoglobin, prior macrovascular complication of diabetes (see text), estimated glomerular filtration rate, urinary albumin:creatinine ratio, systolic blood pressure, diastolic blood pressure, history of hospitalization for heart failure, regular exercise (see text), current cigarette smoking, total cholesterol, triglycerides, atrial fibrillation, use of calcium channel antagonists, and use of β-blockers. The increased risk of microvascular complications associated with a higher heart rate was observed in both sexes, in patients who had suffered a prior major macrovascular complication (myocardial infarction, stroke, hospital admission for a transient ischemic attack, hospital admission for angina, coronary revascularization, peripheral revascularization, or amputation secondary to peripheral vascular disease) and in those who had not (Figure 2). Similarly, an excess hazard was seen in patients both with and without preexisting microvascular disease (Figure 2). It also was observed in patients who were not on a β-blocker but not in those who were on a β-blocker (Figure 2), although there was no statistical evidence of an interaction. A higher heart rate was associated with a greater risk of a microvascular complication both in patients who were in sinus rhythm and those with atrial fibrillation (on an electrocardiogram performed either at baseline or previously[22]).
Figure 2.

Effects of baseline heart rate on major microvascular events in subgroups. Adjusted for age, sex, randomized treatment for blood pressure, randomized treatment for glucose, body mass index, duration of diabetes, glycosylated hemoglobin, prior macrovascular complication of diabetes (see text), estimated glomerular filtration rate, urinary albumin:creatinine ratio, systolic blood pressure, diastolic blood pressure, history of hospitalization for heart failure, regular exercise (see text), current cigarette smoking, total cholesterol, triglycerides, atrial fibrillation, use of calcium channel antagonists, and use of β-blockers. Where relevant, the variable used for subgrouping was excluded from the model. Centers of boxes are placed at the estimates of adjusted hazard ratio (HR) for each subgroup. Areas of the boxes are proportional to the reciprocal of the variance of the estimates. Horizontal lines represent 95% confidence intervals (CI). Vertical broken lines indicate the estimate of overall adjusted hazard ratio. The widths of diamonds represent 95% CI. bpm indicates beats per minute.

Effects of baseline heart rate on major microvascular events in subgroups. Adjusted for age, sex, randomized treatment for blood pressure, randomized treatment for glucose, body mass index, duration of diabetes, glycosylated hemoglobin, prior macrovascular complication of diabetes (see text), estimated glomerular filtration rate, urinary albumin:creatinine ratio, systolic blood pressure, diastolic blood pressure, history of hospitalization for heart failure, regular exercise (see text), current cigarette smoking, total cholesterol, triglycerides, atrial fibrillation, use of calcium channel antagonists, and use of β-blockers. Where relevant, the variable used for subgrouping was excluded from the model. Centers of boxes are placed at the estimates of adjusted hazard ratio (HR) for each subgroup. Areas of the boxes are proportional to the reciprocal of the variance of the estimates. Horizontal lines represent 95% confidence intervals (CI). Vertical broken lines indicate the estimate of overall adjusted hazard ratio. The widths of diamonds represent 95% CI. bpm indicates beats per minute.

Discussion

The present study demonstrates that a higher resting heart rate predicts a greater risk of future microvascular complications in patients with type 2 diabetes mellitus. As far as we are aware, this has not been shown previously. The excess hazard associated with a higher heart rate is independent of many other factors that can influence heart rate and affect outcome in this setting. The association is particularly apparent for the occurrence or worsening of diabetic eye disease but is also evident for the occurrence or worsening of diabetic nephropathy.

Heart Rate and Microvascular Events

The relation between higher heart rates and major adverse cardiac events, such as myocardial infarction, cardiac death, and hospitalization with heart failure, is now well recognized.[23] Indeed, we recently reported in ADVANCE that a higher heart rate was a strong and independent predictor of all-cause death and major cardiovascular complications, including cardiovascular death, myocardial infarction, and stroke.[11] In contrast, there are limited prior data, almost entirely cross sectional, assessing the relation between heart rate and microvascular disease. In patients with hypertension, Bohm and colleagues[12] reported that a higher heart rate is associated with increased prevalence and severity of microalbuminuria. This relation was observed regardless of treatment with β-blockers[12] and irrespective of whether the patient had a history of atrial fibrillation.[13] However, in a recently reported analysis of The PROspective pioglitAzone Clinical Trial In macroVascular Events, a multicenter double-blind assessment of the effects of pioglitazone versus placebo on major cardiovascular events in patients with type 2 diabetes and a history of macrovascular disease, no association was observed between resting heart rate and microalbuminuria.[15] Despite this, heart rate and microalbuminuria were each independently predictive of the composite endpoint of all-cause death, myocardial infarction, and stroke in this study.[15] Neither of the aforementioned studies[13,15] assessed the relation between heart rate and incident albuminuria. Two recent prospective studies have, however, identified a higher heart rate as a predictor of renal dysfunction in the general population.[24,25] In the Atherosclerosis Risk in Communities (ARIC) Study, the hazard of developing end-stage renal disease was almost doubled among patients with a resting heart rate in the upper quarter, when compared to the remaining subjects, during a median of 16 years' follow-up.[24] Similarly, in a cohort of subjects participating in a Japanese health screening program, a higher heart rate was associated with a greater risk of declining estimated glomerular filtration rate and of developing dipstick proteinuria (≥1) during 5 years of follow-up.[25] An association between a higher resting heart rate and prevalent retinopathy in patients with diabetes has been reported previously,[16] although not consistently.[26,27] In the Wisconsin Epidemiological Study of Diabetic Retinopathy, although patients with a higher resting heart rate had a greater risk of incident macular edema and progressive diabetic retinopathy over a 4-year period, this was attenuated and was nonsignificant after correction for other factors, including age, duration of diabetes, glycosylated hemoglobin, and blood pressure.[28] In contrast, in our much larger cohort, followed up for 4.4 years, we have observed strong and independent associations between resting heart rate and incident and progressive diabetic eye disease, even after correction for a wide range of potential confounding factors (including all of those mentioned above). Apart from differences in power, the discrepant results could reflect variances in the study populations and protocols. The Wisconsin Epidemiological Study of Diabetic Retinopathy recruited a community-based cohort with a high prevalence of younger, insulin-requiring patients, and the incidence and progression of retinopathy was determined with fundus photography.

Potential Mechanisms

Although a higher resting heart rate predicts a greater prevalence of albuminuria and diabetic eye disease at baseline and higher risk of subsequent microvascular events, the results could reflect an association between heart rate and other factors that might mediate microvascular disease. There are, however, several plausible mechanisms by which an elevated heart rate might predispose to such complications. It has been suggested that a higher heart rate might promote microalbuminuria because of increased exposure of the glomerulus to arterial pressure waves.[12] A similar mechanism also might explain the relation between more rapid heart rates and ocular disease. An increased heart rate also has a variety of direct detrimental cardiovascular consequences. These include unfavorable effects on endothelial function and proatherosclerotic activity,[29] which are important factors in the progression of nephropathy and retinopathy.[30-32] A higher heart rate also is associated with factors such as obesity, higher blood pressure, a proatherosclerotic lipid profile, and reduced physical activity,[10,33] all of which are associated with an increased risk of microvascular complications and are targets for intervention to improve outcome in patients with diabetes mellitus.[34] Finally, a faster resting heart rate is a characteristic feature of autonomic neuropathy, which is in turn associated with an increased prevalence of other complications, such as nephropathy and retinopathy.[35] It is possible, therefore, that the observed relation between heart rate and microvascular events is mediated at least in part by sympathetic overactivity, although correlations between heart rate and measures of sympathetic tone are relatively weak.[36] When baroreflex control of heart rate is assessed by sensitive methods, abnormalities are apparent at an early stage in patients with diabetes. These changes predate obvious diabetic complications and evidence of autonomic dysfunction that can be detected by conventional methods.[37,38] Intriguingly, a higher heart rate per se also has been shown to predict an increased risk of developing incident diabetes.[39] This could reflect physical deconditioning and other factors that predispose to developing diabetes but reinforces the complex interrelations among heart rate, neural mechanisms, and metabolic control. It could be that the observed hazard associated with a higher heart rate is due to a combination of mechanisms and that the importance of each varies among individuals. Likewise, the mechanisms could have synergistic effects. For example, a higher heart rate might result in direct microvascular damage, but this could be accentuated by the presence of hypertension. In particular, elevated nocturnal blood pressure in diabetes is associated with incident microalbuminuria[40] and progressive nephropathy.[41] The risk attributable to this “nondipping” pattern might not be conveyed in the measured daytime blood pressure and might be magnified by a higher resting heart rate, which increases exposure of the microvasculature to the elevated pressures. In summary, the mechanisms by which a higher resting heart rate predicts an increased risk of microvascular complications in type 2 diabetes mellitus are unclear, and it could be that several interrelated processes are involved. One potential method of assessing whether there might be a direct relation would be to assess the effects of a pure rate-limiting drug, such as ivabradine, on microvascular outcomes.

Differences in the Observed Relation Between Heart Rate and Eye Disease and Nephropathy

In this analysis, the relation between resting heart rate and the risk of developing diabetic eye disease seems stronger than the association with incident nephropathy. In addition, in contrast to retinopathy, the data suggest that the relation between heart rate and renal disease is nonlinear, with the excess hazard clearly seen only in patients with a resting heart rate in the upper fifth. Similarly, in the baseline, cross-sectional data, the increased prevalence of microalbuminuria is most obvious in patients with heart rates in the upper two fifths. This raises the possibility that the relation between heart rate and microvascular disease could vary in differing vascular beds. This is not unexpected, given that the effects of blood pressure–lowering treatment and more intensive glycemic control in the ADVANCE study were more apparent in the kidney than in the eye. Similar differential effects of treatment on differing microvascular complications have been observed in other large studies.[42,43] Whether this reflects differing pathophysiological mechanisms, is a chance finding, or is due to the definitions used and the relatively short duration of follow-up is not clear.

Strengths and Limitations

The present study explores the relation between heart rate and future microvascular complications in patients with type 2 diabetes mellitus in a large population recruited from 20 countries and with diverse ethnic backgrounds, which was well characterized and followed up closely. The primary endpoint of this epidemiological evaluation was a coprimary endpoint of the main ADVANCE study, and all components of it were independently adjudicated according to predefined criteria. Nevertheless, it has the limitations inherent in any such post hoc analysis. Although the large study population ensures considerable statistical power and allows reliable correction for many potential confounding factors, it is not possible to fully correct for all possible confounders. In particular, autonomic function was not assessed at baseline.

Conclusion

Patients with type 2 diabetes mellitus who have a higher resting heart rate have a greater prevalence of microalbuminuria and diabetic eye disease. They also experience a greater incidence of new-onset or progressive nephropathy and retinopathy, which suggests that an increased heart rate might be a potential mediator of these outcomes. Further work is required to assess this and to determine whether lifestyle measures or pharmacological therapies that can slow heart rate might reduce the risk of microvascular complications. In particular, the benefits of heart rate reduction in the prevention of progressive diabetic retinopathy deserve further attention.
  39 in total

1.  Resting heart rate and the risk of death and cardiovascular complications in patients with type 2 diabetes mellitus.

Authors:  G S Hillis; M Woodward; A Rodgers; C K Chow; Q Li; S Zoungas; A Patel; R Webster; G D Batty; T Ninomiya; G Mancia; N R Poulter; J Chalmers
Journal:  Diabetologia       Date:  2012-05       Impact factor: 10.122

2.  Heart rate elevation and diabetic retinopathy in patients with type 2 diabetes mellitus and normoalbuminuria.

Authors:  E Imano; T Miyatsuka; M Motomura; T Kanda; M Matsuhisa; Y Kajimoto; Y Yamasaki; M Hori
Journal:  Diabetes Res Clin Pract       Date:  2001-06       Impact factor: 5.602

3.  Effect of intensive treatment of hyperglycaemia on microvascular outcomes in type 2 diabetes: an analysis of the ACCORD randomised trial.

Authors:  Faramarz Ismail-Beigi; Timothy Craven; Mary Ann Banerji; Jan Basile; Jorge Calles; Robert M Cohen; Robert Cuddihy; William C Cushman; Saul Genuth; Richard H Grimm; Bruce P Hamilton; Byron Hoogwerf; Diane Karl; Lois Katz; Armand Krikorian; Patrick O'Connor; Rodica Pop-Busui; Ulrich Schubart; Debra Simmons; Harris Taylor; Abraham Thomas; Daniel Weiss; Irene Hramiak
Journal:  Lancet       Date:  2010-06-30       Impact factor: 79.321

4.  Is the pulse rate useful in assessing risk of diabetic retinopathy and macular oedema? The Wisconsin Epidemiological Study of Diabetic Retinopathy.

Authors:  T Y Wong; S E Moss; R Klein; B E Klein
Journal:  Br J Ophthalmol       Date:  2001-08       Impact factor: 4.638

5.  Albuminuria and risk of cardiovascular events, death, and heart failure in diabetic and nondiabetic individuals.

Authors:  H C Gerstein; J F Mann; Q Yi; B Zinman; S F Dinneen; B Hoogwerf; J P Hallé; J Young; A Rashkow; C Joyce; S Nawaz; S Yusuf
Journal:  JAMA       Date:  2001-07-25       Impact factor: 56.272

Review 6.  Does microvascular disease predict macrovascular events in type 2 diabetes?

Authors:  R S Rosenson; P Fioretto; P M Dodson
Journal:  Atherosclerosis       Date:  2011-06-23       Impact factor: 5.162

7.  Heart rate variability predicts ESRD and CKD-related hospitalization.

Authors:  Daniel J Brotman; Lori D Bash; Rehan Qayyum; Deidra Crews; Eric A Whitsel; Brad C Astor; Josef Coresh
Journal:  J Am Soc Nephrol       Date:  2010-07-08       Impact factor: 10.121

8.  Association of ocular disease and mortality in a diabetic population.

Authors:  R Klein; B E Klein; S E Moss; K J Cruickshanks
Journal:  Arch Ophthalmol       Date:  1999-11

9.  High cardiovascular disease mortality in subjects with visual impairment caused by diabetic retinopathy.

Authors:  U Rajala; H Pajunpää; P Koskela; S Keinänen-Kiukaanniemi
Journal:  Diabetes Care       Date:  2000-07       Impact factor: 19.112

10.  Association and prognostic impact of heart rate and micro- albuminuria in patients with type 2 diabetes and cardiovascular disease: results from the PROactive trial.

Authors:  Roman Pfister; Erland Erdmann; Christian Alfons Schneider
Journal:  J Atheroscler Thromb       Date:  2010-11-13       Impact factor: 4.928

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  23 in total

Review 1.  Heart rate and the cardiometabolic risk.

Authors:  Paolo Palatini
Journal:  Curr Hypertens Rep       Date:  2013-06       Impact factor: 5.369

2.  Differential impact of type-1 and type-2 diabetes on control of heart rate in mice.

Authors:  Catherine L Stables; David S Auerbach; Steven E Whitesall; Louis G D'Alecy; Eva L Feldman
Journal:  Auton Neurosci       Date:  2015-12-17       Impact factor: 3.145

3.  Correlation between impaired hemodynamic response and cardiopulmonary fitness in middle-aged type 2 diabetes mellitus patients: a case-control study.

Authors:  Jinjin Xie; Lianhua Yin; Jia Huang; Ying Xu; Yannan Chen; Jiawei Qin; Zhizhen Liu; Jing Tao
Journal:  Eur J Appl Physiol       Date:  2022-07-20       Impact factor: 3.346

4.  Burden and pattern of micro vascular complications in type 2 diabetes in a tertiary health institution in Nigeria.

Authors:  Michael Olamoyegun; Waheed Ibraheem; Sandra Iwuala; Morenike Audu; Babatope Kolawole
Journal:  Afr Health Sci       Date:  2015-12       Impact factor: 0.927

5.  Resting heart rate is associated with nonproliferative retinopathy in normoalbuminuric type 1 diabetic patients.

Authors:  Tomislav Bulum; Kristina Blaslov; Lea Duvnjak
Journal:  J Clin Hypertens (Greenwich)       Date:  2013-05-17       Impact factor: 3.738

6.  Impact of Obesity on Measures of Cardiovascular and Kidney Health in Youth With Type 1 Diabetes as Compared With Youth With Type 2 Diabetes.

Authors:  Kalie L Tommerdahl; Karl Baumgartner; Michal Schäfer; Petter Bjornstad; Isabella Melena; Shannon Hegemann; Amy D Baumgartner; Laura Pyle; Melanie Cree-Green; Uyen Truong; Lorna Browne; Judith G Regensteiner; Jane E B Reusch; Kristen J Nadeau
Journal:  Diabetes Care       Date:  2021-01-05       Impact factor: 19.112

Review 7.  Recreational football for disease prevention and treatment in untrained men: a narrative review examining cardiovascular health, lipid profile, body composition, muscle strength and functional capacity.

Authors:  Jens Bangsbo; Peter Riis Hansen; Jiri Dvorak; Peter Krustrup
Journal:  Br J Sports Med       Date:  2015-05       Impact factor: 13.800

8.  Autonomic dysfunction determines stress-induced cardiovascular and immune complications in mice.

Authors:  Sri N Batchu; Elaine M Smolock; Igor A Dyachenko; Arkady N Murashev; Vyacheslav A Korshunov
Journal:  J Am Heart Assoc       Date:  2015-05-21       Impact factor: 5.501

9.  The Effect of Resting Heart Rate on the New Onset of Microalbuminuria in Patients With Type 2 Diabetes: A Subanalysis of the ROADMAP Study.

Authors:  Roland E Schmieder; Peter Bramlage; Hermann Haller; Luis M Ruilope; Michael Böhm
Journal:  Medicine (Baltimore)       Date:  2016-04       Impact factor: 1.889

10.  Resting Heart Rate Does Not Predict Cardiovascular and Renal Outcomes in Type 2 Diabetic Patients.

Authors:  Vendula Bartáková; Linda Klimešová; Katarína Kianičková; Veronika Dvořáková; Denisa Malúšková; Jitka Řehořová; Jan Svojanovský; Jindřich Olšovský; Jana Bělobrádková; Kateřina Kaňková
Journal:  J Diabetes Res       Date:  2015-12-28       Impact factor: 4.011

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