Prognostic significance of heart rate in hospitalized patients presenting with myocardial infarction

Impact of CYP2D6*2A, CYP2D6*4 and CYP3A5*3 genetic polymorphisms on Bisoprolol peak concentration and clinical response in acute coronary syndrome patients

AIMS

Acute coronary syndrome (ACS) represents a major cause of death. Bisoprolol is commonly used in the management of ACS. This study aims to investigate the impact of CYP2D6*2A, CYP2D6*4 and CYP3A5*3 genetic polymorphisms on pharmacokinetics and clinical response of bisoprolol in ACS patients.

METHODS

This is an open-label cohort study that included 127 ACS patients and studied the effect of CYP3A5*3, CYP2D6*2A and CYP2D6*4 genotyping using real-time polymerase chain reaction on steady state bisoprolol plasma peak concentration analysed by high performance liquid chromatography-fluorescence detector.

RESULTS

Regarding CYP3A5*3, the mean peak bisoprolol concentration for CC, CT and TT genotypes were 4.25 ± 1.20, 3.93 ± 1.10 and 1.79 ± 0.69 ng/mL, respectively (P < .001). Higher systolic (126 ± 5.47 mmHg), diastolic blood pressure (82 ± 2.73 mmHg) and heart rate (97.80 ± 3.03 beats/min) were also observed in CYP3A5*3 TT carriers (P < .05). In CYP2D6*2A, the peak concentration of bisoprolol was lower in CC carriers (3.54 ± 1 ng/mL) compared to GG (4.38 ± 1.25 ng/mL) and GC carriers (4.07 ± 1.29 ng/mL, P = .019). In CYP2D6*4, the mean bisoprolol peak concentration in CC carriers was 3.98 ± 1.31 ng/mL, which was lower than T allele carriers (4.5 ± 0.8, P = .02). No differences in heart rate, systolic, diastolic blood pressure or bisoprolol dose were observed among CYP2D6*2A or CYP2D6*4 variants. Smokers exhibited lower bisoprolol peak concentration (3.96 ± 1.2 ng/mL) compared to nonsmokers (4.55 ± 1.34 ng/mL, P = .037).

CONCLUSION

There is an association between CYP3A5*3, CYP2D6*4, CYP2D6*2A variants and bisoprolol peak concentration, which may serve as a guide in the future in choosing the optimum dose of bisoprolol in ACS patients.

Increased discharge heart rate might be associated with increased short-term mortality after acute coronary syndrome

BACKGROUND

In acute coronary syndrome (ACS) patients there are mostly studies evaluating prognostic value of admission heart rate. We tried to understand the prognostic value of discharge heart rate in a spectrum of ACS patients.

METHODS

A total of 473 consecutive ACS patients were included in the study. Forty-three (9.1%) of them were unstable angina pectoris, 268 (56.7%) were non-ST elevation myocardial infarction and 162 (34.2%) of them were ST elevation myocardial infarction patients. Discharge heart rates of the patients were recorded and the patients were followed-up for 1 year. The primary end-point was all-cause mortality.

RESULTS

The mean age of the patients was 64 ± 12. The patients were divided into three subgroups according to discharge heart rates (<78, 78-89, ≥90 beats per minute). Patients with a higher discharge heart rate had higher serum troponin, glucose levels and higher admission heart rates, had lower ejection fraction values and had acute heart failure complication more frequently than the patients with a lower discharge heart rate. A total of 72(16%) patients died during 1 year follow-up. In multivariate logistic regression analysis, an increased discharge heart rate was independently associated with 1-month mortality after ACS, but it was not independently associated with 6-month or 1-year mortality after ACS. Every 1 bpm increase in discharge heart rate resulted in a significant increased risk of 8.2% in 1-month all-cause mortality.

CONCLUSION

Increased heart rate at discharge is an independent predictor of 1-month mortality in ACS patients. This relationship disappears after 1-month through 1-year follow-up.

Clinical factors associated with peripheral artery disease in patients with documented coronary artery disease: A post hoc analysis of the COMPASS trial

BACKGROUND AND AIMS

Patients with coronary artery disease (CAD) who also have peripheral artery disease (PAD) are at high risk of subsequent cardiovascular events and mortality. Despite this, PAD in patients with CAD often remains undiagnosed. The objective of this analysis was to assess clinical factors that predict the presence of PAD in patient with documented CAD who also have PAD.

METHODS

In a post hoc analysis of patients with CAD in the COMPASS trial, we developed separate prediction models for symptomatic lower extremity PAD and documented carotid artery disease (Model 1), asymptomatic lower extremity PAD defined as ABI <0.9 (Model 2) and for any PAD (symptomatic or asymptomatic; Model 3). Using logistic regression models, candidate variables were chosen to predict the presence of PAD. Overall model performance was evaluated for discrimination and calibration using the concordance statistic and Hosmer and Lemeshow Goodness-of-fit chi-square, respectively. The final model was validated by bootstrapping.

RESULTS

Of 23,402 participants, 3484 (14.9%) had a history of symptomatic PAD or carotid artery disease (Model 1), 1422 (5.7%) participants had asymptomatic PAD (Model 2) and 4906 (20.6%) had any PAD (Model 3). Model 1 demonstrated a C-statistic of 0.667 and goodness-of-fit p-value of 0.859. Model 2 demonstrated a C-statistic of 0.626 and goodness-of-fit p-value of 0.250. Model 3 demonstrated a C-statistic of 0.646 and goodness-of-fit p-value of 0.240.

CONCLUSION

Routinely available clinical information is only marginally useful to identify patients with CAD and concomitant PAD.

Impact of heart rate in atrial fibrillation versus sinus rhythm on mortality in octogenarian patients with acute coronary syndrome

INTRODUCTION

Association of heart rate (HR) with mortality in patients with acute coronary syndrome (ACS) and aged ≥ 80 years are underrepresented in clinical trials. We therefore aimed to investigate the association of HR in atrial fibrillation (AF) versus sinus rhythm (SR) with all-cause mortality in octogenarian patients with ACS.

METHODS

A total of 336 patients with ACS patients and aged ≥ 80 years were enrolled into the current study. The end point of interest was death from any cause. Association of HR in AF versus SR with mortality was analyzed by Kaplan-Meier curve following log-rank test and multivariable Cox regression analysis.

RESULTS

In total, 63 (87.5%) of patients with AF were dead and 147 (59.8%) of patients with SR were dead during the follow-up period. The best cut-off was 80 bpm, with a sensitivity of 62% and specificity of 66%. HR ≤ 80 bpm in SR but not in AF was associated with better outcome as compared with HR > 80 bpm (Chi-Square = 26.55, Log rank P < 0.001). In SR subgroup, the hazard ratios of HR ≤ 80 bpm were 0.51(95% CI 0.37-0.70, P < 0.001) adjusted for age, 0.46 (95%CI 0.33-0.63, P < 0.001) adjusted for gender, 0.62 (95%CI 0.42- 0.93, P = 0.020) adjusted for multivariables respectively. In AF subgroup, the hazard ratios of HR ≤ 80 bpm were 0.83(95% CI 0.49-1.38, P = 0.464) adjusted for age, 0.96 (95%CI 0.59-1.58, P = 0.882) adjusted for gender, 0.72(95% CI 0.41-1.26, P = 0.249) adjusted for multivariables respectively.

CONCLUSION

The current study demonstrates that heart rate is an independent prognostic predictor for all-cause mortality, and HR ≤ 80 bpm is associated with improved outcome in SR but not in AF in octogenarian patients with ACS.

Stability and change of lifestyle profiles in cardiovascular patients after their first acute coronary event

Background

Acute coronary syndrome (ACS) is a major cause of morbidity and mortality. Lifestyle and health behavior changes play an important role in the primary and secondary prevention of ACS recurrence. Changes in unhealthy lifestyles after an acute coronary event have been analyzed by considering separate behaviors individually, even though research on the healthy population has demonstrated that unhealthy behaviors tend to co-occur.

Purpose

The aim of this study was to identify lifestyle profiles of ACS patients and to explore their pathways of change for one year after their first coronary event by adopting a typological approach.

Methods

Two hundred and twenty-three patients (84% male; mean age = 57.14) completed self-report measures of health-related behaviors at the beginning of cardiac rehabilitation, and six months and twelve months after. At each wave depression, anxiety and heart rate were also evaluated. Cluster analysis was performed to identify lifestyle profiles and to analyze their change over time. Differences in psychological factors and heart rate among clusters were assessed.

Results

Patients' diet, physical activity, and smoking behavior greatly improved six months after their first coronary event. No further improvements were detected after one year. At each wave specific lifestyle profiles were identified, ranging from more maladaptive to healthier clusters. Patients with multiple unhealthy behaviors experience greater difficulties in maintaining a healthier lifestyle over time. Moreover, the results demonstrated the association between lifestyle profiles at twelve months after the acute coronary event and depression measured six months earlier. Finally, the most maladaptive lifestyle profile had many members with elevated heart rate at twelve months after the cardiac rehabilitation.

Conclusions

Current findings may have a strong practical impact in the development and implementation of personalized secondary prevention programs targeting lifestyles of ACS patients.

The relationship between heart rate and mortality of patients with acute coronary syndromes in the coronary intervention era: Meta-analysis

BACKGROUND

Most of acute coronary syndromes (ACS) were receiving intervention treatment a high overall rate of coronary angiography in the modern medical practice.Consequently, we conduct a review to determine the heart rate (HR) on the prognosis of ACS in the coronary intervention era.

METHODS

PubMed, EMBASE, MEDLINE, and the Cochrane Library was systematically searched up to May 2016 using the search terms "heart rate," "acute coronary syndrome," "acute myocardial infarction," "ST elevation myocardial infarction," "non-ST-segment elevation." The outcome of interest was all-cause mortality. All analyses were performed using Review Manager.

RESULTS

Database searches retrieved 2324 citations. Eleven studies enrolling 156,374 patients were included. In-hospital mortality was significantly higher in the elevated HR group compared to the lower HR group (pooled RR 2.04, 95%CI 1.80-2.30, P < 0.0001). Individuals with elevated admission HR had increased risk of long-term mortality (Pooled RR = 1.63, 95%CI 1.27-2.10, P = 0.008) compared to lower admission HR. The pooled results showed elevated discharge and resting HR were related to increased mortality of patients with ACS (pooled RR 1.88, 95% CI 1.02-3.47, P = 0.04; pooled RR 2.14, 95%CI 1.37-3.33, P < 0.0001, respectively).

CONCLUSION

Elevated HR may increase the mortality of ACS patients in the percutaneous coronary intervention era.

Resting heart rate associates with one-year risk of major adverse cardiovascular events in patients with acute coronary syndrome after percutaneous coronary intervention

The study was to access the association between resting heart rate (RHR) and one-year risk of major adverse cardiovascular events (MACE) in acute coronary syndrome (ACS) patients after percutaneous coronary intervention (PCI). Patients with ACS after PCI (n = 808) were prospectively followed-up for MACE. RHR was obtained from electrocardiogram. MACE was defined as a composite of cardiac death, nonfatal recurrent myocardial infarction, ischemic-driven revascularization, and ischemic stroke. The association between RHR and one-year risk of MACE was assessed using Cox proportional hazards regression model. Compared with patients with RHR >76 bpm, the adjusted hazard ratio (AHR) was 0.51 (95% confidence intervals [CI]: 0.23-1.14; P = 0.100) for patients with RHR < 61 bpm, and 0.44 (95%CI: 0.23-0.85; P = 0.014) for those with RHR 61-76 bpm. For patients with RHR ≥ 61 bpm, an increase of 10 bpm in RHR was associated with an increase by 38.0% in the risk of MACE (AHR: 1.38; 95% CI: 1.04-1.83; P = 0.026). ACS patients after PCI with RHR >76 bpm were at higher risk of MACE during one-year follow-up compared with patients with RHR 61-76 bpm. An elevated RHR ≥ 61 bpm was associated with increased risk of one-year MACE in ACS patients.

Admission heart rate in relation to presentation and prognosis in patients with acute myocardial infarction. Treatment regimens in German chest pain units

BACKGROUND

Higher heart rates on admission have been associated with poor outcomes in patients with an acute coronary syndrome in previous cohorts. Whether such a linear relationship still exists in contemporary high-level care is unclear.

METHODS

Prospectively collected data from patients presenting with myocardial infarction (MI) in centers participating in the Chest Pain Unit (CPU) Registry between December 2008 and July 2014 were analyzed. Patients were classified according to their initial heart rate (I: < 50; II: 50-69; III: 70-89; IV: ≥ 90 bpm). A total of 6,168 patients out of 30,339 patients presenting to 38 centers were included in the study.

RESULTS

Patients in group IV had more comorbidities, while patients in group I more often had a history of MI. Patients in the lowest heart rate group presented significantly earlier to the hospital (4 h 31 min vs. 7 h 37 min; p < 0.05) and had the highest rate of interventions. The overall survival after 3 months was significantly worse in group IV after adjusting for baseline variables. In the subgroup analysis, heart rate was a prognostic factor in the non-ST-segment elevation MI group but not in the ST-segment elevation MI group. The correlation between heart rate and major adverse cardiac events followed a J-shaped curve with worst outcomes in the lowest and highest heart rate groups.

CONCLUSION

Patients admitted to a dedicated CPU with the diagnosis of MI and a heart rate > 90 bpm experience reduced survival at 3 months despite optimal treatment. Patients with bradycardia also seem to be at increased risk for cardiovascular events despite much earlier presentation and treatment.

Relationship Between Physiological Parameters and Acute Coronary Syndrome in Patients Presenting to the Emergency Department With Undifferentiated Chest Pain

The investigators of this study sought to examine whether abnormal physiological parameters are associated with increased risk for acute coronary syndrome (ACS) in patients presenting to the emergency department (ED) with chest pain.

METHODS

We used prospectively collected data on adult patients presenting with suspected ACS in 2 EDs in Australia and New Zealand. Trained research nurses collected physiological data including temperature, respiratory rate, heart rate, and systolic blood pressure (SBP) on presentation to the ED. The primary endpoint was ACS within 30 days of presentation, as adjudicated by cardiologists using standardized guidelines. The prognostic utility of physiological parameters for ACS was examined using risk ratios.

RESULTS

Acute coronary syndrome was diagnosed in 384 of the 1951 patients (20%) recruited. Compared with patients whose SBP was between 100 and 140 mm Hg, patients with an SBP of lower than 100 mm Hg or higher than 140 mm Hg were 1.4 times (95% confidence interval, 1.2-1.7) more likely to have ACS. Similarly, compared with patients whose temperature was between 36.5°C and 37.5°C, patients with temperature of lower than 36.5°C or higher than 37.5°C were 1.4 times (95% confidence interval, 1.1-1.6) more likely to have ACS. Heart rate and respiratory rate were not predictors of ACS.

CONCLUSIONS

Patients with abnormal temperature or SBP were slightly more likely to have ACS, but such risk was of too small a magnitude to be useful in clinical decision making. Other physiological parameters (heart rate and respiratory rate) had no prognostic value. The use of physiological parameters cannot reliably confirm or rule out ACS.

Resting heart rate in first year survivors of myocardial infarction and long-term mortality: a community study

OBJECTIVE

To evaluate the long-term prognostic effect of resting heart rate (HR) at index myocardial infarction (MI) and during the first year after MI among 1-year survivors.

PATIENTS AND METHODS

The community-based cohort consisted of 1571 patients hospitalized with an incident MI from January 1, 1983, through December 31, 2007, in Olmsted County, Minnesota, who were in sinus rhythm at index MI and had HR measurements on electrocardiography at index and during the first year after MI. Outcomes were all-cause and cardiovascular deaths.

RESULTS

During a median follow-up of 7.0 years, 627 deaths and 311 cardiovascular deaths occurred. Using patients with HRs of 60/min or less as the referent, this study found that long-term all-cause mortality risk increased progressively with increasing HR at index (hazard ratio, 1.62; 95% CI, 1.25-2.09) and even more with increasing HR during the first year after MI (hazard ratio, 2.16; 95% CI, 1.64-2.84) for patients with HRs greater than 90/min, adjusting for clinical characteristics and β-blocker use. Similar results were observed for cardiovascular mortality (adjusted hazard ratio, 1.66; 95% CI, 1.14-2.42; and adjusted hazard ratio, 1.93; 95% CI, 1.27-2.94; for HR at index and within 1 year after MI, respectively).

CONCLUSION

These data from a large MI community cohort indicate that HR is a strong predictor of long-term all-cause and cardiovascular mortality not only at initial presentation of MI but also during the first year of follow-up.