Fractal analysis of heart rate dynamics as a predictor of mortality in patients with depressed left ventricular function after acute myocardial infarction. TRACE Investigators. TRAndolapril Cardiac Evaluation

A number of new methods have been recently developed to quantify complex heart rate (HR) dynamics based on nonlinear and fractal analysis, but their value in risk stratification has not been evaluated. This study was designed to determine whether selected new dynamic analysis methods of HR variability predict mortality in patients with depressed left ventricular (LV) function after acute myocardial infarction (AMI). Traditional time- and frequency-domain HR variability indexes along with short-term fractal-like correlation properties of RR intervals (exponent alpha) and power-law scaling (exponent beta) were studied in 159 patients with depressed LV function (ejection fraction <35%) after an AMI. By the end of 4-year follow-up, 72 patients (45%) had died and 87 (55%) were still alive. Short-term scaling exponent alpha (1.07 +/- 0.26 vs 0.90 +/- 0.26, p <0.001) and power-law slope beta (-1.35 +/- 0.23 vs -1.44 +/- 0.25, p <0.05) differed between survivors and those who died, but none of the traditional HR variability measures differed between these groups. Among all analyzed variables, reduced scaling exponent alpha (<0.85) was the best univariable predictor of mortality (relative risk 3.17, 95% confidence interval 1.96 to 5.15, p <0.0001), with positive and negative predictive accuracies of 65% and 86%, respectively. In the multivariable Cox proportional hazards analysis, mortality was independently predicted by the reduced exponent alpha (p <0.001) after adjustment for several clinical variables and LV function. A short-term fractal-like scaling exponent was the most powerful HR variability index in predicting mortality in patients with depressed LV function. Reduction in fractal correlation properties implies more random short-term HR dynamics in patients with increased risk of death after AMI.     

Fractal analysis of heart rate variability and mortality after an acute myocardial infarction

The recently developed fractal analysis of heart rate (HR) variability has been suggested to provide prognostic information about patients with heart failure. This prospective multicenter study was designed to assess the prognostic significance of fractal and traditional HR variability parameters in a large, consecutive series of survivors of an acute myocardial infarction (AMI). A consecutive series of 697 patients were recruited to participate 2 to 7 days after an AMI in 3 Nordic university hospitals. The conventional time-domain and spectral parameters and the newer fractal scaling indexes of HR variability were analyzed from 24-hour RR interval recordings. During the mean follow-up of 18.4 +/- 6.5 months, 49 patients (7.0%) died. Of all the risk variables, a reduced short-term fractal scaling exponent (alpha(1) <0.65), measured by detrended fluctuation analysis, was the most powerful predictor of mortality (univariate relative risk 5.05, 95% confidence intervals [CI] 2.87 to 8.89, p <0.001). A low scaling exponent alpha(1) predicted death in the patients with and without depressed left ventricular function (p <0.001 and p <0.01, respectively). Several other HR variability parameters also predicted mortality in univariate analyses, but in a multivariate analysis after adjustments for clinical variables and left ventricular ejection fraction, alpha(1) was the most significant independent HR variability index that predicted subsequent mortality (relative risk 3.90, 95% CI 2.03 to 7.49, p <0.001). Short-term fractal scaling analysis of HR variability is a powerful predictor of mortality among patients surviving an acute myocardial infarction.     

Fractal correlation properties of R-R interval dynamics and mortality in patients with depressed left ventricular function after an acute myocardial infarction

BACKGROUND: Preliminary data suggest that the analysis of R-R interval variability by fractal analysis methods may provide clinically useful information on patients with heart failure. The purpose of this study was to compare the prognostic power of new fractal and traditional measures of R-R interval variability as predictors of death after acute myocardial infarction. METHODS AND RESULTS: Time and frequency domain heart rate (HR) variability measures, along with short- and long-term correlation (fractal) properties of R-R intervals (exponents alpha(1) and alpha(2)) and power-law scaling of the power spectra (exponent beta), were assessed from 24-hour Holter recordings in 446 survivors of acute myocardial infarction with a depressed left ventricular function (ejection fraction 相似文献   

Fractal analysis and time- and frequency-domain measures of heart rate variability as predictors of mortality in patients with heart failure

Time-domain measures of heart rate (HR) variability provide prognostic information among patients with congestive heart failure (CHF). The prognostic power of spectral and fractal analytic methods of HR variability has not been studied in the patients with chronic CHF. The aim of this study was to assess whether traditional and fractal analytic methods of HR variability predict mortality among a population of patients with CHF. The standard deviation of RR intervals, HR variability index, frequency-domain indexes, and the short-term fractal scaling exponent of RR intervals were studied from 24-hour Holter recordings in 499 patients with CHF and left ventricular ejection fraction < or =35%. During a mean follow-up of 665 +/- 374 days, 210 deaths (42%) occurred in this population. Conventional and fractal HR variability indexes predicted mortality by univariate analysis. For example, a short-term fractal scaling exponent <0.90 had a risk ratio (RR) of 1.9 (95% confidence interval [CI] 1.4 to 2.5) and the SD of all RR intervals <80 ms had an RR of 1.7 (95% CI 1.2 to 2.1). After adjusting for age, functional class, medication, and left ventricular ejection fraction in the multivariate proportional-hazards analysis, the reduced short-term fractal exponent remained the independent predictor of mortality, RR 1.4 (95% CI 1.0 to 1.9; p <0.05). All HR variability indexes were more significant univariate predictors of mortality in functional class II than in class III or IV. Among patients with moderate heart failure, HR variability measurements provide prognostic information, but all HR variability indexes fail to provide independent prognostic information in patients with the most severe functional impairment.     

Heart rate dynamics before spontaneous onset of ventricular fibrillation in patients with healed myocardial infarcts

The traditional methods of analyzing heart rate (HR) variability have failed to predict imminent ventricular fibrillation (VF). We sought to determine whether new methods of analyzing RR interval variability based on nonlinear dynamics and fractal analysis may help to detect subtle abnormalities in RR interval behavior before the onset of life-threatening arrhythmias. RR interval dynamics were analyzed from 24-hour Holter recordings of 15 patients who experienced VF during electrocardiographic recording. Thirty patients without spontaneous or inducible arrhythmia events served as a control group in this retrospective case control study. Conventional time- and frequency-domain measurements, the short-term fractal scaling exponent (alpha) obtained by detrended fluctuation analysis, and the slope (beta) of the power-law regression line (log power - log frequency, 10(-4)-10(-2) Hz) of RR interval dynamics were determined. The short-term correlation exponent alpha of RR intervals (0.64 +/- 0.19 vs 1.05 +/- 0.12; p <0.001) and the power-law slope beta (-1.63 +/- 0.28 vs -1.31 +/- 0.20, p <0.001) were lower in the patients before the onset of VF than in the control patients, but the SD and the low-frequency spectral components of RR intervals did not differ between the groups. The short-term scaling exponent performed better than any other measurement of HR variability in differentiating between the patients with VF and controls. Altered fractal correlation properties of HR behavior precede the spontaneous onset of VF. Dynamic analysis methods of analyzing RR intervals may help to identify abnormalities in HR behavior before VF.     

Mortality and heart rate in the elderly: role of cognitive impairment

Mortality related to heart rate (HR) increase in the elderly has not yet been well established. To ascertain the relationships among cognitive impairment (CI), mortality, and HR increase, the authors prospectively studied a random sample of elderly subjects stratified according to presence or absence of CI. Elderly subjects randomly selected in 1991 (n = 1332) were followed up for 12 years. Mortality was established in 98.1% of the subjects. When HR was stratified in quartiles (< 69, 70-75, 76-80, and > 80 bpm), mortality was linearly associated with increased HR in all (from 47.7 to 57.0; r2 = .43, p = .019) and in subjects without (from 41.7 to 51.1%; r2 = .50, p = .043) but not in those with CI (from 57.5 to 66.1; r2 = .20, p = .363). Cox regression analysis, adjusted for several variables, shows that HR doesn't predict mortality in all subjects (RR 0.69; 95% CI = 0.27-1.73) or in those with CI (RR 0.91; 95% CI = 0.81-1.02). In contrast, HR predicts mortality in subjects without CI (RR 1.10; 95% CI = 1.00-1.22). Hence, HR increase is a predictor of mortality in elderly subjects without CI. However, when considering all elderly subjects and those with CI, HR increase seems to have no effect on mortality. Thus, CI should be considered when focusing on HR increase as risk factor for mortality in the elderly.     

Relation of heart rate parameters during exercise test to sudden death and all-cause mortality in asymptomatic men

Heart rate (HR) profile during exercise predicts all-cause mortality. However, less is known about its relation to sudden (vs nonsudden) death in asymptomatic people. The relation of exercise HR parameters (HR at rest, target HR achievement, HR increase, and HR recovery) with sudden death, coronary heart disease (CHD) death, myocardial infarction, and all-cause mortality was assessed in 12,555 men who participated in MRFIT. Subjects were 35 to 57 years old without clinical CHD, but with higher than average Framingham risk. Trial follow-up was 7 years, and extended follow-up after the trial for all-cause mortality was 25 years. After adjusting for cardiac risk factors, having to stop exercise before achieving 85% of age-specific maximal HR was associated with increased risk of sudden death (hazard ratio 1.8, 95% confidence interval [CI] 1.3 to 2.5, p = 0.001), CHD death (hazard ratio 1.4, 95% CI 1.2 to 1.5, p <0.001), and all-cause mortality (hazard ratio 1.3, 95% CI 1.2 to 1.4, p <0.001). Increased HR at rest (p = 0.001), attenuated HR increase (p = 0.02), delayed HR recovery (p = 0.04), and exercise duration (p <0.0001) were independent predictors of all-cause death in the overall study population and also in the subgroup that achieved target HR. In conclusion, middle-aged men without clinical CHD who stopped exercise before reaching 85% of maximal HR had a higher risk of sudden death. Other exercise HR parameters and exercise duration predicted all-cause mortality.     

High level of lipoprotein (a) as a predictor of poor long-term prognosis after coronary artery bypass surgery

Study aim was to investigate the association of lipoprotein (a) [Lp(a)] level with the development of cardiovascular complications in long-term follow-up period after coronary artery bypass grafting (CABG). Patients with chronic ischemic heart disease (IHD) (n = 361, 88% men, mean age 55 +/- 9 years) who had had CABG were included in the study. Before surgery we assessed presence of classical risk factors, left ventricular ejection fraction, concentrations of lipids and Lp(a) in blood serum. During follow-up (from 1 to 140, mean 66 +/- 34 months) we registered cardiac deaths, nonfatal myocardial infarctions (MI), strokes, repeat procedures of revascularization, and hospitalizations due to relapse or progression of angina pectoris. Information on prognosis was obtained from 263 patients. In 109 of them we registered 142 serious events including cardiac death n = 20 (14%), nonfatal MI n = 14 (10%), myocardial revascularization (n = 35), 29 (20%) with stenting), repeat CABG n = 6 (4%), hospitalization due to angina pectoris n = 53 (37%), stroke n = 4 (3%), noncardiac outcome n = 16 (10%). In subjects with hyperlipidemia (a) [HLp(a) - Lp(a) > 30 mg/l] survival after CABG was lower (log rank p < 0.001): 11 of 93 (11.3%) and 9 of 170 (5.2%) patients died among those with Lp(a) > 30 and < 30 mg/I, respectively. Relative risk (RR) of any cardiovascular complication was 3.24 (95% confidence interval [CI] 2.18 to 4.83, p < 0.001), of death - 2.89 (95% CI 1.31 to 6.35, p < 0.01), and of MI A 1.01 (95% CI 1.00 to 1.02; p = 0.02). RR of development of MI and cardiac death in patients with HLp(a) in 5 years was 2.61 (95% CI 1.11 to 5.74; p = 0.02), in 10 years - 2.95 (95% CI 1.50 to 5.79; p < 0.001). In patients with chronic IHD high level of Lp(a) can serve as independent predictor of unfavorable events including death and nonfatal MI during 10 years after CABG.     

Temporal changes and prognostic significance of measures of heart rate dynamics after acute myocardial infarction in the beta-blocking era

Previous studies have shown that indexes describing heart rate (HR) dynamics may predict subsequent deaths of patients after an acute myocardial infarction (AMI). Because beta-blocking (BB) drugs affect both mortality and HR dynamics, the prognostic power of measurements of HR dynamics may have changed in the current era of BB therapy. This study assessed the temporal changes and prognostic significance of time-domain, spectral, and fractal indexes of HR variability along with HR turbulence after an AMI among patients with optimized BB medication. SD of NN intervals, spectral indexes, the short-term fractal scaling exponent (alpha(1)), power-law slope (beta), and turbulence onset and slope were measured in 600 patients at 5 to 7 days after AMI and in 416 patients at 12 months after AMI. In the multivariate analysis, after adjusting for clinical variables, only reduced fractal HR indexes, alpha1 and beta (p <0.01 for both), turbulence onset, and slope (p <0.05 for both), measured at the convalescent phase after AMI, predicted subsequent cardiac death. All time-domain and spectral HR variability indexes and turbulence onset increased significantly during the 12-month period after AMI (p <0.001 for all), whereas the fractal indexes and turbulence slope remained unchanged. Late after AMI, reduced beta (p <0.05) and turbulence slope (p <0.01) were the only independent predictors of cardiac mortality. Traditional time-domain and spectral measurements of HR variability and turbulence onset improved significantly after AMI, whereas the fractal HR dynamics and turbulence slope remained stable. Fractal HR variability and HR turbulence retain their prognostic power in the BB era, when measured either at the convalescent or late phase after AMI.     

Heart Rate Variability in Risk Stratification of Cardiac Patients

Heart rate (HR) variability has been extensively studied in cardiac patients, especially in patients surviving an acute myocardial infarction (AMI) and also in patients with congestive heart failure (CHF) or left ventricular (LV) dysfunction. The majority of studies have shown that patients with reduced or abnormal HR variability have an increased risk of mortality within a few years after an AMI or after a diagnosis of CHF/LV dysfunction. Various measures of HR dynamics, such as time-domain, spectral, and non-linear measures of HR variability have been used in risk stratification. The prognostic power of various measures, except of those reflecting rapid R–R interval oscillations, has been almost identical, albeit some non-linear HR variability measures, such as short-term fractal scaling exponent have provided somewhat better prognostic information than the others. Abnormal HR variability predicts both sudden and non-sudden cardiac death. Because of remodeling of the arrhythmia substrate after AMI, early measurement of HR variability to identify those at high risk should likely be repeated later in order to assess the risk of fatal arrhythmia events. Future randomized trials using HR variability/turbulence as one of the pre-defined inclusion criteria will show whether routine measurement of HR variability/turbulence will become a routine clinical tool for risk stratification of cardiac patients.     

QT variability strongly predicts sudden cardiac death in asymptomatic subjects with mild or moderate left ventricular systolic dysfunction: a prospective study.

AIMS: The most widely accepted marker for stratifying the risk of sudden cardiac death (SCD) in post myocardial infarction patients is a depressed left ventricular function. Left ventricular ejection fractions (EF) of 35% or less increase the risk of sudden death but values between 35 and 40% raise concern. The underlying pathophysiological mechanism is sustained ventricular tachycardia or fibrillation, both associated with increased cardiac repolarization variability. We assessed whether the indices of QT variability from a short-term electrocardiographic (ECG) recording predict sudden death. METHODS AND RESULTS: A total of 396 subjects with chronic heart failure (CHF) due to post-ischaemic cardiomyopathy, with an EF between 35 and 40% and in NYHA class I, underwent a 5 min ECG recording to calculate the following variables: QT variance (QT(v)), QT normalized for the square of the mean QT (QTVN), and QT variability index (QTVI). Corrected QT (QT(c)) was calculated from a 12-lead ECG recording. All participants were followed for 5 years. A multivariable survival model indicated that a QTVI greater than or equal to the 80th percentile indicated a high risk of SCD [hazards ratio (HR) 4.6, 95% confidence interval (CI) 1.5-13.4, P = 0.006] and, though to a lesser extent, a high risk of total mortality (HR 2.4, 95% CI 1.2-4.9, P = 0.017). The model including QTVI as a continuous variable confirmed a similar high risk for SCD (HR 2.9, 95% CI 1.3-6.5, P = 0.01) and for total mortality (HR 2.6, 95% CI 1.3-5.2, P = 0.008). CONCLUSION: Although asymptomatic patients with CHF who have a slightly depressed EF are at low risk of sudden death, the category is extraordinarily numerous. The QTVI could be helpful in stratifying the risk of sudden death in this otherwise undertreated population.     

Baroreflex effectiveness index and baroreflex sensitivity predict all-cause mortality and sudden death in hypertensive patients with chronic renal failure

OBJECTIVES: Impaired arterial baroreflex sensitivity (BRS) has been associated with cardiac mortality and non-fatal cardiac arrests after a myocardial infarction. Patients with chronic renal failure (CRF) have a poor prognosis because of cardiovascular diseases, and sudden death is common. The aim of this study was to assess whether BRS or the baroreflex effectiveness index (BEI), a novel index reflecting the number of times the baroreflex is active in controlling the heart rate in response to blood pressure fluctuations, is associated with prognosis in CRF. METHODS: Hypertensive patients with CRF who were treated conservatively, by haemodialysis or peritoneal dialysis were studied. Electrocardiogram and beat-to-beat blood pressures were recorded continuously and BRS and BEI were calculated. Patients were then followed prospectively for 41 +/- 15 months (range 1-64). RESULTS: During follow-up 69 patients died. Cardiovascular diseases and uraemia accounted for the majority of deaths (60 and 20%, respectively), whereas sudden death occurred in 15 patients. In adjunct with established risk factors such as age, diabetes, congestive heart failure and diastolic blood pressure, reduced BEI was an independent predictor of all-cause mortality among CRF patients [relative risk (RR) 0.50, 95% confidence interval (CI) 0.33-0.71 for an increase of one standard deviation in BEI, P < 0.001]. Diabetes and reduced BRS were independent predictors of sudden death (RR 0.29, 95% CI 0.09-0.86 for an increase of one standard deviation in BRS, P=0.022). CONCLUSIONS: Both BEI and BRS convey prognostic information that may have clinical implications for patients with cardiovascular diseases in general.     

Diabetes mellitus and the risk of sudden cardiac death: A systematic review and meta-analysis of prospective studies

Background

Although diabetes mellitus is an established risk factor for myocardial infarction and stroke, data on the association with sudden cardiac death are less extensive and the findings have not been entirely consistent. We therefore conducted a systematic review and meta-analysis of prospective studies on diabetes mellitus and risk of sudden cardiac death.

Prognosis of subjects with Brugada-type electrocardiogram in a population of middle-aged Japanese diagnosed during a health examination

There is controversy about the clinical significance of an incidental finding of a Brugada-type electrocardiogram (ECG) pattern. To assess the prognosis of subjects with a diagnosis of a Brugada-type ECG pattern during a health examination, 13,904 subjects (mean age 58 +/- 10 years) who had the annual health examination including an ECG offered to adult citizens of Moriguchi City, Osaka, Japan, in 1997 were studied. A Brugada-type ECG pattern was found in 98 subjects, and 37 subjects had type 1. During a mean follow-up of 7.8 +/- 1.6 years, there were 4 deaths (4.1%) and 1 cardiovascular death (1.0%) in subjects with a Brugada-type ECG pattern, whereas there were 612 deaths (4.4%) and 142 cardiovascular deaths (1.0%) in those without. One cardiovascular death in a subject with a Brugada-type ECG pattern was sudden death. Unadjusted proportional hazards regression analyses showed that Brugada-type ECG pattern was not associated with either all-cause (hazard ratio [HR] 0.90, 95% confidence interval [CI] 0.34 to 2.41) or cardiovascular mortality (HR 0.97, 95% CI 0.14 to 6.93). After adjustment for cardiovascular risk factors, Brugada-type ECG pattern had no association with either all-cause (HR 0.77, 95% CI 0.29 to 2.07) or cardiovascular mortality (HR 1.01, 95% CI 0.14 to 7.31). In conclusion, Brugada-type ECG patterns diagnosed during a health examination in a middle-aged population had a low risk of sudden death and were not associated with increased risk of either cardiovascular or all-cause mortality.     

Resting heart rate and cause-specific death in a 16.5-year cohort study of the Japanese general population

Background

Several prospective studies have reported resting heart rate (HR) to be a risk factor for certain cause-specific death, together with sex- or age-specific differences in the effects of HR on death. However, there have been few prospective data from non-Western populations.

Methods

Cohort study, over 16.5 years to date of death or end of follow-up (November 15, 1998) involving 8800 men and women ≥30 years of age randomly selected throughout Japan, who participated in the National Survey on Circulatory Disorders in 1980. Resting HR was determined from 3 consecutive intervals between R waves on the 12-lead electrocardiogram.

Results

For middle-aged men (30 to 59 years of age), in the highest quartile of HR, there was a significant positive association with cardiovascular (RR, 2.55; 95% CI, 1.22 to 5.31) and all-cause death (RR, 1.45; 95% CI, 1.06 to 2.00). For middle-aged women, in the highest quartile, there was a significant positive association with noncancer, noncardiovascular (RR, 2.41; 95% CI, 1.04 to 5.59), and all-cause death (RR, 1.94; 95% CI, 1.26 to 3.01). Resting HR also showed a significant positive association with cardiac events but not to stroke. These relations were not evident for elderly subjects (≥60 years of age). Results were not affected when deaths within the first 5 years of follow-up were excluded, except for noncancer, noncardiovascular death.

Conclusions

High resting HR is an independent predictor of long-term death in the Japanese general population.     

Long QT syndrome and pregnancy.

OBJECTIVES: This study was designed to investigate the clinical course of women with long QT syndrome (LQTS) throughout their potential childbearing years. BACKGROUND: Only limited data exist regarding the risks associated with pregnancy in women with LQTS. METHODS: The risk of experiencing an adverse cardiac event, including syncope, aborted cardiac arrest, and sudden death, during and after pregnancy was analyzed for women who had their first birth from 1980 to 2003 (n = 391). Time-dependent Kaplan-Meier and Cox proportional hazard methods were used to evaluate the risk of cardiac events during different peripartum periods. RESULTS: Compared with a time period before a woman's first conception, the pregnancy time was associated with a reduced risk of cardiac events (hazard ratio [HR] 0.28, 95% confidence interval [CI] 0.10 to 0.76, p = 0.01), whereas the 9-month postpartum time had an increased risk (HR 2.7, 95% CI 1.8 to 4.3, p < 0.001). After the 9-month postpartum period, the risk was similar to the period before the first conception (HR 0.91, 95% CI 0.55 to 1.5, p = 0.70). Genotype analysis (n = 153) showed that women with the LQT2 genotype were more likely to experience a cardiac event than women with the LQT1 or LQT3 genotype. The cardiac event risk during the high-risk postpartum period was reduced among women using beta-blocker therapy (HR 0.34, 95% CI 0.14 to 0.84, p = 0.02). CONCLUSIONS: Women with LQTS have a reduced risk for cardiac events during pregnancy, but an increased risk during the 9-month postpartum period, especially among women with the LQT2 genotype. Beta-blockers were associated with a reduction in cardiac events during the high-risk postpartum time period.     

Effect of carvedilol and metoprolol on the mode of death in patients with heart failure

BACKGROUND: In the COMET study, carvedilol improved survival compared to metoprolol tartrate in 3029 patients with NYHA II-IV heart failure and EF <35%, followed for an average of 58 months. AIMS: To evaluate whether the effect on overall mortality was specific for a particular mode of death. This may help to identify the mechanism of the observed difference. METHODS: Of the 1112 total deaths, 972 were adjudicated as cardiovascular, including 480 sudden, 365 circulatory failure (CF) and 51 stroke deaths. For each mode of death, the effect of pre-specified baseline variables was assessed, including sex, age, NYHA class, aetiology, heart rate, systolic blood pressure, EF, atrial fibrillation, previous myocardial infarction or hypertension, renal function, concomitant medication, and study treatment allocation. RESULTS: In multivariate Cox regression analyses, compared to metoprolol, carvedilol reduced cardiovascular (RR 0.80, CI 0.7-0.91, p=0.0009), sudden (RR 0.77, CI 0.64-0.93, p=0.0073) and stroke deaths (RR 0.37, CI 0.19-0.71, p=0.0027) with a non-significant trend for CF death (RR 0.83, CI 0.66-1.04, p=0.07). Treatment benefit with carvedilol did not differ between modes of death, except for a greater reduction in stroke death with carvedilol (competing risk analysis, p=0.0071 vs CF death). There were no interactions between treatment allocation and baseline characteristics. CONCLUSION: Mortality reduction with carvedilol compared to metoprolol appears relatively non-specific and could be consistent with a superior effect of carvedilol on cardiac function, arrhythmias or, in view of the greater reduction in stroke deaths, on vascular events.     

Increased unrecognized coronary heart disease and sudden deaths in rheumatoid arthritis: a population-based cohort study

OBJECTIVE: To examine the risk of clinical coronary heart disease (CHD) in patients with rheumatoid arthritis (RA) compared with age- and sex-matched non-RA subjects, and to determine whether RA is a risk factor for CHD after accounting for traditional CHD risk factors. METHODS: We assembled a population-based incidence cohort of 603 Rochester, Minnesota residents ages >or=18 years who first fulfilled the American College of Rheumatology (ACR) 1987 criteria for RA between January 1, 1955 and January 1, 1995, and 603 age- and sex-matched non-RA subjects. All subjects were followed up through their complete inpatient and outpatient medical records, beginning at age 18 years until death, migration, or January 1, 2001. Data were collected on CHD events and traditional CHD risk factors (diabetes mellitus, hypertension, dyslipidemia, body mass index, smoking) using established diagnostic criteria. CHD events included hospitalized myocardial infarction (MI), unrecognized MI, coronary revascularization procedures, angina pectoris, and sudden CHD deaths. Conditional logistic regression and Cox regression models were used to estimate the risk of CHD associated with RA, both prior to and following RA diagnosis, after adjusting for CHD risk factors. RESULTS: During the 2-year period immediately prior to fulfillment of the ACR criteria, RA patients were significantly more likely to have been hospitalized for acute MI (odds ratio [OR] 3.17, 95% confidence interval [95% CI] 1.16-8.68) or to have experienced unrecognized MIs (OR 5.86, 95% CI 1.29-26.64), and less likely to have a history of angina pectoris (OR 0.58, 95% CI 0.34-0.99) compared with non-RA subjects. After the RA incidence date, RA patients were twice as likely to experience unrecognized MIs (hazard ratio [HR] 2.13, 95% CI 1.13-4.03) and sudden deaths (HR 1.94, 95% CI 1.06-3.55) and less likely to undergo coronary artery bypass grafting (HR 0.36, 95% CI 0.16-0.80) compared with non-RA subjects. Adjustment for the CHD risk factors did not substantially change the risk estimates. CONCLUSION: Patients with RA have a significantly higher risk of CHD when compared with non-RA subjects. RA patients are less likely to report symptoms of angina and more likely to experience unrecognized MI and sudden cardiac death. The risk of CHD in RA patients precedes the ACR criteria-based diagnosis of RA, and the risk cannot be explained by an increased incidence of traditional CHD risk factors in RA patients.     

Atrial fibrillation and isolated systolic hypertension: the systolic hypertension in the elderly program and systolic hypertension in the elderly program-extension study

We performed a post hoc analysis of the Systolic Hypertension in the Elderly Program database to assess the incidence of atrial fibrillation in the elderly hypertensive population, its influence on cardiovascular events, and whether antihypertensive treatment can prevent its onset. The Systolic Hypertension in the Elderly Program was a double-blind placebo-controlled trial in 4736 subjects with isolated systolic hypertension aged >or=60 years. Atrial fibrillation was an exclusion criterion from the trial. Participants were randomly assigned to stepped care treatment with chlorthalidone and atenolol (n=2365) or placebo (n=2371). The occurrence of atrial fibrillation and cardiovascular events over 4.7 years as well as the determination of cause of death at 4.7 and 14.3 years were followed. Ninety-eight subjects (2.06%) developed atrial fibrillation over 4.7 years mean follow-up, without significant difference between treated and placebo groups. Atrial fibrillation increased the risk for: total cardiovascular events (RR 1.69; 95% CI 1.21 to 2.36), rapid death (RR 3.29; 95% CI 1.08 to 10.00), total (RR 5.10; 95% CI 3.12 to 8.37) and nonfatal left ventricular failure (RR 5.31; 95% CI 3.09 to 9.13). All-cause and total cardiovascular death were significantly increased in the atrial fibrillation group at 4.7 years (HR 3.44; 95% CI 2.18 to 5.42; HR 2.39; 95% CI 1.05 to 5.43) and 14.3 years follow-up (HR 2.33; 95% CI 1.83 to 2.98; HR 2.21; 95% CI 1.54 to 3.17). Atrial fibrillation increased the risk for total cardiovascular events, rapid death, and left ventricular failure. All-cause mortality and total cardiovascular mortality were significantly increased in hypertensives with atrial fibrillation at 4.7 and 14.3 years follow-up.     

Effect on Mode of Death of Heart Failure Treatment Started with Bisoprolol Followed by Enalapril,Compared to the Opposite Order: Results of the Randomized CIBIS III Trial

Background: Mode of death in chronic heart failure (CHF) may be of relevance to choice of therapy for this condition. Sudden death is particularly common in patients with early and/or mild/moderate CHF. β‐Blockade may provide better protection against sudden death than ACE inhibition (ACEI) in this setting. Methods: We randomized 1010 patients with mild or moderate, stable CHF and left ventricular ejection fraction ≤35%, without ACEI, β‐blocker or angiotensin‐receptor‐blocker therapy, to either bisoprolol (n = 505) or enalapril (n = 505) for 6 months, followed by their combination for 6–24 months. The two strategies were blindly compared regarding adjudicated mode of death, including sudden death and progressive pump failure death. Results: During the monotherapy phase, 8 of 23 deaths in the bisoprolol‐first group were sudden, compared to 16 of 32 in the enalapril‐first group: hazard ratio (HR) for sudden death 0.50; 95% confidence interval (CI) 0.21–1.16; P= 0.107. At 1 year, 16 of 42 versus 29 of 60 deaths were sudden: HR 0.54; 95% CI 0.29–1.00; P= 0.049. At study end, 29 of 65 versus 34 of 73 deaths were sudden: HR 0.84; 95% CI 0.51–1.38; P= 0.487. Comparable figures for pump failure death were: monotherapy, 7 of 23 deaths versus 2 of 32: HR 3.43; 95% CI 0.71–16.53; P= 0.124, at 1 year, 13 of 42 versus 5 of 60: HR 2.57; 95% CI 0.92–7.20; P= 0.073, at study end, 17 of 65 versus 7 of 73: HR 2.39; 95% CI 0.99–5.75; P= 0.053. There were no significant between‐group differences in any other fatal events. Conclusion: Initiating therapy with bisoprolol compared to enalapril decreased the risk of sudden death during the first year in this mild systolic CHF cohort. This was somewhat offset by an increase in pump failure deaths in the bisoprolol‐first cohort.