Psychosocial outcome in cardiovascular rehabilitation of peripheral artery disease and coronary artery disease patients

We investigated patients with a primary diagnosis of peripheral artery disease (n = 69) and coronary heart disease (CAD; n = 520) at baseline and on changes in psychosocial risk factors (depression, anxiety, quality of life, negative and positive affect) during a cardiovascular rehabilitation program. Patients completed psychosocial questionnaires at the beginning and at discharge of a 12-week rehabilitation program. Depression and anxiety were measured with the Hospital Anxiety and Depression Scale (HADS), positive and negative affect with the Global Mood Scale, and health-related quality of life with the SF-36 Health Survey. Patients with PAD showed improvements in anxiety (p < 0.001), negative affect (p < 0.001) and bodily pain (p < 0.001). Patients with CAD reported significant improvements in all measured dimensions (all p-values < 0.001).

Severe aortic stenosis and coronary artery disease

Coronary artery disease (CAD) and aortic stenosis (AS) share pathophysiological mechanisms and risk factors. Moreover, the prevalence of CAD increases among elderly patients with severe AS since disease progression is strongly associated with age for both CAD and AS. These factors contribute to the frequent coexistence of CAD and AS. Patients with concomitant AS and CAD are characterised by higher baseline risk profiles with a larger number of comorbidities as compared to patients with isolated AS. Therefore, adequate therapeutic strategies are crucial for the treatment of these patients. The number of patients undergoing concomitant coronary artery bypass grafting (CABG) and surgical aortic valve replacement (SAVR) doubled during the last decade. Moreover, the development and rapid integration of transcatheter aortic valve implantation (TAVI) into clinical practice in western European countries has further extended invasive treatment of AS to elderly high-risk patients not considered suitable candidates for SAVR, frequently presenting with CAD. The aim of this review article is to provide an overview on CAD prevalence, impact on clinical outcomes, and treatment strategies in patients with severe AS requiring SAVR or TAVI.

The effect of heart rate reduction by ivabradine on collateral function in patients with chronic stable coronary artery disease

Objective To evaluate the effect of heart rate reduction by ivabradine on coronary collateral function in patients with chronic stable coronary artery disease (CAD). Methods This was a prospective randomised placebo-controlled monocentre trial in a university hospital setting. 46 patients with chronic stable CAD received placebo (n=23) or ivabradine (n=23) for the duration of 6 months. The main outcome measure was collateral flow index (CFI) as obtained during a 1 min coronary artery balloon occlusion at study inclusion (baseline) and at the 6-month follow-up examination. CFI is the ratio between simultaneously recorded mean coronary occlusive pressure divided by mean aortic pressure both subtracted by mean central venous pressure. Results During follow-up, heart rate changed by +0.2±7.8 beats/min in the placebo group, and by –8.1±11.6 beats/min in the ivabradine group (p=0.0089). In the placebo group, CFI decreased from 0.140±0.097 at baseline to 0.109±0.067 at follow-up (p=0.12); it increased from 0.107±0.077 at baseline to 0.152±0.090 at follow-up in the ivabradine group (p=0.0461). The difference in CFI between the 6-month follow-up and baseline examination amounted to −0.031±0.090 in the placebo group and to +0.040±0.094 in the ivabradine group (p=0.0113). Conclusions Heart rate reduction by ivabradine appears to have a positive effect on coronary collateral function in patients with chronic stable CAD.

Contribution of Genetic Background, Traditional Risk Factors, and HIV-Related Factors to Coronary Artery Disease Events in HIV-Positive Persons

Background Persons infected with human immunodeficiency virus (HIV) have increased rates of coronary artery disease (CAD). The relative contribution of genetic background, HIV-related factors, antiretroviral medications, and traditional risk factors to CAD has not been fully evaluated in the setting of HIV infection. Methods In the general population, 23 common single-nucleotide polymorphisms (SNPs) were shown to be associated with CAD through genome-wide association analysis. Using the Metabochip, we genotyped 1875 HIV-positive, white individuals enrolled in 24 HIV observational studies, including 571 participants with a first CAD event during the 9-year study period and 1304 controls matched on sex and cohort. Results A genetic risk score built from 23 CAD-associated SNPs contributed significantly to CAD (P = 2.9×10−4). In the final multivariable model, participants with an unfavorable genetic background (top genetic score quartile) had a CAD odds ratio (OR) of 1.47 (95% confidence interval [CI], 1.05–2.04). This effect was similar to hypertension (OR = 1.36; 95% CI, 1.06–1.73), hypercholesterolemia (OR = 1.51; 95% CI, 1.16–1.96), diabetes (OR = 1.66; 95% CI, 1.10–2.49), ≥1 year lopinavir exposure (OR = 1.36; 95% CI, 1.06–1.73), and current abacavir treatment (OR = 1.56; 95% CI, 1.17–2.07). The effect of the genetic risk score was additive to the effect of nongenetic CAD risk factors, and did not change after adjustment for family history of CAD. Conclusions In the setting of HIV infection, the effect of an unfavorable genetic background was similar to traditional CAD risk factors and certain adverse antiretroviral exposures. Genetic testing may provide prognostic information complementary to family history of CAD.

Coronary artery disease severity and aortic stenosis: clinical outcomes according to SYNTAX score in patients undergoing transcatheter aortic valve implantation.

AIM The aim of this study was to evaluate whether coronary artery disease (CAD) severity exerts a gradient of risk in patients with aortic stenosis (AS) undergoing transcatheter aortic valve implantation (TAVI). METHODS AND RESULTS A total of 445 patients with severe AS undergoing TAVI were included into a prospective registry between 2007 and 2012. The preoperative SYNTAX score (SS) was determined from baseline coronary angiograms. In case of revascularization prior to TAVI, residual SS (rSS) was also determined. Clinical outcomes were compared between patients without CAD (n = 158), patients with low SS (0-22, n = 207), and patients with high SS (SS >22, n = 80). The pre-specified primary endpoint was the composite of cardiovascular death, stroke, or myocardial infarction (MI). At 1 year, CAD severity was associated with higher rates of the primary endpoint (no CAD: 12.5%, low SS: 16.1%, high SS: 29.6%; P = 0.016). This was driven by differences in cardiovascular mortality (no CAD: 8.6%, low SS: 13.6%, high SS: 20.4%; P = 0.029), whereas the risk of stroke (no CAD: 5.1%, low SS: 3.3%, high SS: 6.7%; P = 0.79) and MI (no CAD: 1.5%, low SS: 1.1%, high SS: 4.0%; P = 0.54) was similar across the three groups. Patients with high SS received less complete revascularization as indicated by a higher rSS (21.2 ± 12.0 vs. 4.0 ± 4.4, P < 0.001) compared with patients with low SS. High rSS tertile (>14) was associated with higher rates of the primary endpoint at 1 year (no CAD: 12.5%, low rSS: 16.5%, high rSS: 26.3%, P = 0.043). CONCLUSIONS Severity of CAD appears to be associated with impaired clinical outcomes at 1 year after TAVI. Patients with SS >22 receive less complete revascularization and have a higher risk of cardiovascular death, stroke, or MI than patients without CAD or low SS.

High-density lipoprotein cholesterol, coronary artery disease, and cardiovascular mortality.

AIMS High-density lipoprotein (HDL) cholesterol is a strong predictor of cardiovascular mortality. This work aimed to investigate whether the presence of coronary artery disease (CAD) impacts on its predictive value. METHODS AND RESULTS We studied 3141 participants (2191 males, 950 females) of the LUdwigshafen RIsk and Cardiovascular health (LURIC) study. They had a mean ± standard deviation age of 62.6 ± 10.6 years, body mass index of 27.5 ± 4.1 kg/m², and HDL cholesterol of 38.9 ± 10.8 mg/dL. The cohort consisted of 699 people without CAD, 1515 patients with stable CAD, and 927 patients with unstable CAD. The participants were prospectively followed for cardiovascular mortality over a median (inter-quartile range) period of 9.9 (8.7-10.7) years. A total of 590 participants died from cardiovascular diseases. High-density lipoprotein cholesterol by tertiles was inversely related to cardiovascular mortality in the entire cohort (P = 0.009). There was significant interaction between HDL cholesterol and CAD in predicting the outcome (P = 0.007). In stratified analyses, HDL cholesterol was strongly associated with cardiovascular mortality in people without CAD [3rd vs. 1st tertile: HR (95% CI) = 0.37 (0.18-0.74), P = 0.005], but not in patients with stable [3rd vs. 1st tertile: HR (95% CI) = 0.81 (0.61-1.09), P = 0.159] and unstable [3rd vs. 1st tertile: HR (95% CI) = 0.91 (0.59-1.41), P = 0.675] CAD. These results were replicated by analyses in 3413 participants of the AtheroGene cohort and 5738 participants of the ESTHER cohort, and by a meta-analysis comprising all three cohorts. CONCLUSION The inverse relationship of HDL cholesterol with cardiovascular mortality is weakened in patients with CAD. The usefulness of considering HDL cholesterol for cardiovascular risk stratification seems limited in such patients.

Quantitative Myocardial Contrast Echocardiography during Pharmacological Stress for Diagnosis of Coronary Artery Disease: A Systematic Review and Meta-analysis of Diagnostic Accuracy Studies

AIMS: We conducted a meta-analysis to evaluate the accuracy of quantitative stress myocardial contrast echocardiography (MCE) in coronary artery disease (CAD). METHODS AND RESULTS: Database search was performed through January 2008. We included studies evaluating accuracy of quantitative stress MCE for detection of CAD compared with coronary angiography or single-photon emission computed tomography (SPECT) and measuring reserve parameters of A, beta, and Abeta. Data from studies were verified and supplemented by the authors of each study. Using random effects meta-analysis, we estimated weighted mean difference (WMD), likelihood ratios (LRs), diagnostic odds ratios (DORs), and summary area under curve (AUC), all with 95% confidence interval (CI). Of 1443 studies, 13 including 627 patients (age range, 38-75 years) and comparing MCE with angiography (n = 10), SPECT (n = 1), or both (n = 2) were eligible. WMD (95% CI) were significantly less in CAD group than no-CAD group: 0.12 (0.06-0.18) (P < 0.001), 1.38 (1.28-1.52) (P < 0.001), and 1.47 (1.18-1.76) (P < 0.001) for A, beta, and Abeta reserves, respectively. Pooled LRs for positive test were 1.33 (1.13-1.57), 3.76 (2.43-5.80), and 3.64 (2.87-4.78) and LRs for negative test were 0.68 (0.55-0.83), 0.30 (0.24-0.38), and 0.27 (0.22-0.34) for A, beta, and Abeta reserves, respectively. Pooled DORs were 2.09 (1.42-3.07), 15.11 (7.90-28.91), and 14.73 (9.61-22.57) and AUCs were 0.637 (0.594-0.677), 0.851 (0.828-0.872), and 0.859 (0.842-0.750) for A, beta, and Abeta reserves, respectively. CONCLUSION: Evidence supports the use of quantitative MCE as a non-invasive test for detection of CAD. Standardizing MCE quantification analysis and adherence to reporting standards for diagnostic tests could enhance the quality of evidence in this field.

Subgingival Aggregatibacter actinomycetemcomitans associates with the risk of coronary artery disease

AIM We investigated the association between angiographically verified coronary artery disease (CAD) and subgingival Aggregatibacter actinomycetemcomitans, Porphyromonas gingivalis, Tannerella forsythia and Treponema denticola. MATERIALS AND METHODS The cross-sectional study population (n = 445) comprised 171 (38.4%) patients with Stable CAD, 158 (35.5%) with acute coronary syndrome (ACS) and 116 (26.1%) with no significant CAD (No CAD). All patients participated in clinical and radiological oral health examinations. Pooled subgingival bacterial samples were analysed by checkerboard DNA-DNA hybridization assays. RESULTS In all study groups, the presence of P. gingivalis, T. forsythia and T. denticola indicated a significant (p ≤ 0.001) linear association with the extent of alveolar bone loss (ABL), but A. actinomycetemcomitans did not (p = 0.074). With a threshold level of bacterial cells 1 × 10(5) A. actinomycetemcomitans was significantly more prevalent in the Stable CAD group (42.1%) compared to the No CAD group (30.2%) (p = 0.040). In a multi-adjusted logistic regression analysis using this threshold, A. actinomycetemcomitans positivity associated with Stable CAD (OR 1.83, 95% CI 1.00-3.35, p = 0.049), but its level or levels of other bacteria did not. CONCLUSIONS The presence of subgingival A. actinomycetemcomitans associates with an almost twofold risk of Stable CAD independently of alveolar bone loss.

Coronary artery disease in patients undergoing TAVI: why, what, when and how to treat.

Coronary artery disease (CAD) and aortic valve stenosis (AS) are frequently coexisting. It has been reported that CAD is present in 40% of patients with AS undergoing surgical aortic valve replacement, and in up to 60% of patients with AS undergoing transcatheter aortic valve implantation (TAVI). Elderly patients with CAD and AS are characterised by higher baseline risk profiles as compared to patients with isolated AS, increasing the complexity of their therapeutic management. In patients with CAD and AS the combination of coronary artery bypass grafting (CABG) and surgical aortic valve replacement has been shown to improve survival. Therefore, CABG is recommended in patients with CAD and AS undergoing surgical aortic valve replacement according to current guidelines of the European Society of Cardiology (ESC) and of the American College of Cardiology Foundation/American Heart Association (ACCF/AHA). Conversely, whether the presence of CAD has any prognostic implications in elderly patients with severe AS undergoing TAVI is still a matter of debate. Of note, according to the most recent ESC guidelines on myocardial revascularisation, percutaneous revascularisation should be considered in patients undergoing TAVI with a stenosis >70% in proximal coronary segments (class IIa, level of evidence C). The aim of this article is to provide an overview of evidence supporting the need for coronary revascularisation in patients with severe AS and CAD undergoing TAVI, and to summarise optimal timing and treatment modalities for percutaneous coronary interventions in these patients.

Antiplatelet therapy for secondary prevention of coronary artery disease.

The choice and duration of antiplatelet therapy for secondary prevention of coronary artery disease (CAD) is determined by the clinical context and treatment strategy. Oral antiplatelet agents for secondary prevention include the cyclo-oxygenase-1 inhibitor aspirin, and the ADP dependent P2Y12 inhibitors clopidogrel, prasugrel and ticagrelor. Aspirin constitutes the cornerstone in secondary prevention of CAD and is complemented by clopidogrel in patients with stable CAD undergoing percutaneous coronary intervention. Among patients with acute coronary syndrome, prasugrel and ticagrelor improve net clinical outcome by reducing ischaemic adverse events at the expense of an increased risk of bleeding as compared with clopidogrel. Prasugrel appears particularly effective among patients with ST elevation myocardial infarction to reduce the risk of stent thrombosis compared with clopidogrel, and offered a greater net clinical benefit among patients with diabetes compared with patients without diabetes. Ticagrelor is associated with reduced mortality without increasing the rate of coronary artery bypass graft (CABG)-related bleeding as compared with clopidogrel. Dual antiplatelet therapy should be continued for a minimum of 1 year among patients with acute coronary syndrome irrespective of stent type; among patients with stable CAD treated with new generation drug-eluting stents, available data suggest no benefit to prolong antiplatelet treatment beyond 6 months.

Extent of coronary artery disease and outcomes after ticagrelor administration in patients with an acute coronary syndrome: Insights from the PLATelet inhibition and patient Outcomes (PLATO) trial.

BACKGROUND Extensive coronary artery disease (CAD) is associated with higher risk. In this substudy of the PLATO trial, we examined the effects of randomized treatment on outcome events and safety in relation to the extent of CAD. METHODS Patients were classified according to presence of extensive CAD (defined as 3-vessel disease, left main disease, or prior coronary artery bypass graft surgery). The trial's primary and secondary end points were compared using Cox proportional hazards regression. RESULTS Among 15,388 study patients for whom the extent of CAD was known, 4,646 (30%) had extensive CAD. Patients with extensive CAD had more high-risk characteristics and experienced more clinical events during follow-up. They were less likely to undergo percutaneous coronary intervention (58% vs 79%, P < .001) but more likely to undergo coronary artery bypass graft surgery (16% vs 2%, P < .001). Ticagrelor, compared with clopidogrel, reduced the composite of cardiovascular death, myocardial infarction, and stroke in patients with extensive CAD (14.9% vs 17.6%, hazard ratio [HR] 0.85 [0.73-0.98]) similar to its reduction in those without extensive CAD (6.8% vs 8.0%, HR 0.85 [0.74-0.98], Pinteraction = .99). Major bleeding was similar with ticagrelor vs clopidogrel among patients with (25.7% vs 25.5%, HR 1.02 [0.90-1.15]) and without (7.3% vs 6.4%, HR 1.14 [0.98-1.33], Pinteraction = .24) extensive CAD. CONCLUSIONS Patients with extensive CAD have higher rates of recurrent cardiovascular events and bleeding. Ticagrelor reduced ischemic events to a similar extent both in patients with and without extensive CAD, with bleeding rates similar to clopidogrel.

Systemic inflammation is higher in peripheral artery disease than in stable coronary artery disease.

OBJECTIVE The knowledge on the level of systemic inflammation in peripheral artery disease (PAD) is less well established than that in coronary artery disease (CAD). Systemic inflammation frequently coincides with atherosclerosis, but also with various traits of the metabolic syndrome (MetS). The individual contribution of CAD, PAD, and the MetS to inflammation is not known. METHODS We enrolled a total of 1396 patients, 460 patients with PAD Fontaine stages IIa-IV verified by duplex ultrasound (PAD group) and 936 patients free of limb claudication undergoing coronary angiography, of whom 507 had significant CAD with coronary stenoses ≥50% (CAD group), and 429 did not have significant CAD at angiography (control group). RESULTS C-reactive protein (CRP) was significantly higher in the PAD than in the CAD or in the control group (0.86 ± 1.85 mg/dl versus 0.44 ± 0.87 mg/dl and 0.39 ± 0.52 mg/dl, respectively, p < 0.001 for both comparisons). These significant differences were confirmed when patients with and subjects without the MetS were analyzed separately. In particular, within the PAD group, CRP was significantly higher in patients with the MetS than in subjects without the MetS (1.04 ± 2.01 vs. 0.67 ± 1.64 mg/dl; p = 0.001) and both, the presence of PAD and the MetS proved to be independently associated with CRP in analysis of covariance (F = 31.84; p < 0.001 and F = 10.52; p = 0.001, respectively). CONCLUSION Inflammatory activity in PAD patients is higher than in CAD patients and is particularly high in PAD patients affected by the MetS. Low grade systemic inflammation is independently associated with both the MetS and PAD.

Evolving biomarkers improve prediction of long-term mortality in patients with stable coronary artery disease: the BIO-VILCAD score.

OBJECTIVE Algorithms to predict the future long-term risk of patients with stable coronary artery disease (CAD) are rare. The VIenna and Ludwigshafen CAD (VILCAD) risk score was one of the first scores specifically tailored for this clinically important patient population. The aim of this study was to refine risk prediction in stable CAD creating a new prediction model encompassing various pathophysiological pathways. Therefore, we assessed the predictive power of 135 novel biomarkers for long-term mortality in patients with stable CAD. DESIGN, SETTING AND SUBJECTS We included 1275 patients with stable CAD from the LUdwigshafen RIsk and Cardiovascular health study with a median follow-up of 9.8 years to investigate whether the predictive power of the VILCAD score could be improved by the addition of novel biomarkers. Additional biomarkers were selected in a bootstrapping procedure based on Cox regression to determine the most informative predictors of mortality. RESULTS The final multivariable model encompassed nine clinical and biochemical markers: age, sex, left ventricular ejection fraction (LVEF), heart rate, N-terminal pro-brain natriuretic peptide, cystatin C, renin, 25OH-vitamin D3 and haemoglobin A1c. The extended VILCAD biomarker score achieved a significantly improved C-statistic (0.78 vs. 0.73; P = 0.035) and net reclassification index (14.9%; P < 0.001) compared to the original VILCAD score. Omitting LVEF, which might not be readily measureable in clinical practice, slightly reduced the accuracy of the new BIO-VILCAD score but still significantly improved risk classification (net reclassification improvement 12.5%; P < 0.001). CONCLUSION The VILCAD biomarker score based on routine parameters complemented by novel biomarkers outperforms previous risk algorithms and allows more accurate classification of patients with stable CAD, enabling physicians to choose more personalized treatment regimens for their patients.

Hemoglobin, iron metabolism and angiographic coronary artery disease (The Ludwigshafen Risk and Cardiovascular Health Study).

BACKGROUND Anemia has been shown to be a risk factor for coronary artery disease and mortality. The involvement of body iron stores in the development of CAD remains controversial. So far, studies that examined hemoglobin and parameters of iron metabolism simultaneously do not exist. METHODS AND RESULTS Hemoglobin and iron status were determined in 1480 patients with stable angiographic coronary artery disease (CAD) and in 682 individuals in whom CAD had been ruled out by angiography. The multivariate adjusted odds ratios (OR) for CAD in the lowest quartiles of hemoglobin and iron were 1.62 (95%CI: 1.22-2.16), and 2.05 (95%CI: 1.51-2.78), respectively compared to their highest gender-specific quartiles. The fully adjusted ORs for CAD in the lowest quartiles of transferrin saturation, ferritin (F) and soluble transferrin receptor (sTfR)/log10F index were 1.69 (95%CI: 1.25-2.27), 1.98 (95%CI: 1.48-2.65), and 1.64 (95%CI: 1.23-2.18), respectively compared to their highest gender-specific quartiles. When adjusting in addition for iron and ferritin the OR for CAD in the lowest quartiles of hemoglobin was still 1.40 (95%CI: 1.04-1.90) compared to the highest gender-specific quartiles. Thus, the associations between either iron status or low hemoglobin and CAD appeared independent from each other. The sTfR was only marginally associated with angiographic CAD. CONCLUSIONS Both low hemoglobin and iron depletion are independently associated with angiographic CAD.

Prediction of arrhythmic events by Wedensky modulation in patients with coronary artery disease.

PRINCIPLES Prediction of arrhythmic events (AEs) has gained importance with the availability of implantable cardioverter-defibrillators (ICDs), but is still imprecise. This study evaluated the innovative Wedensky modulation index (WMI) as predictor of AEs. METHODS In this prospective cohort, 179 patients with coronary artery disease (CAD) referred for AE risk assessment underwent baseline evaluation including measurement of R-/T-wave WMI (WMI(RT)) and left ventricular ejection fraction (LVEF). Two endpoints were assessed 3 years after the baseline evaluation: sudden cardiac death or appropriate ICD event (EP1) and any cardiac death or appropriate ICD event (EP2). Associations between baseline predictors (WMI(RT) and LVEF) and endpoints were evaluated in regression models. RESULTS Only three patients were lost to follow-up. EP1 and EP2 occurred in 24 and 27 patients, respectively. WMI(RT) (odds ratio [OR] per 1 point increase for EP1 20.1, 95% confidence interval [CI] 1.8-221.4, p = 0.014, and for EP2 73.3, 95% CI 6.6-817.7, p <0.001) and LVEF (OR per 1% increase for EP1 0.94, 95% CI 0.90-0.99, p = 0.013, and for EP2 0.93, 95% CI 0.89-0.97, p = 0.002) were significantly associated with both endpoints. In bivariable regression controlled for LVEF, WMI(RT) was independently associated with EP1 (p = 0.047) and EP2 (p = 0.007). The combination of WMI(RT) ≥0.60 and LVEF ≤30% resulted in a positive predictive value of 36% for EP1 and 50% for EP2. CONCLUSIONS WMI(RT) is a significant predictor of AEs independent of LVEF and has potential to improve AE risk prediction in CAD patients. However, WMI(RT) should be evaluated in larger and independent samples before recommendations for clinical routine can be made.