Clinical Outcomes of Aortic Stenosis in Amyloidosis: A United States National Cohort Study.

BACKGROUND: Literature regarding outcomes associated with surgical aortic valve replacement (SAVR) or transcatheter aortic valve replacement (TAVR) among amyloidosis (AM) with aortic stenosis (AS) is limited. OBJECTIVES: We aim to study the mortality and in-hospital clinical outcomes among AM with AS associated with SAVR or TAVR. METHODS: We performed a retrospective study of all hospitalisation encounters associated with a diagnosis of AM with AS, using the Nationwide Readmissions Database for the years 2012-2019. Primary outcomes were in-hospital mortality, and 30-day readmissions. RESULTS: A total of 4,820 index hospitalisations of AS (mean age 78.35±10.11; female 37.76%) among AM were reported. Total 464 patients had mechanical intervention, 251 patients (54.1%) TAVR and 213 patients (45.9%) SAVR. A total of 317 patients (6.77%) with AS died; TAVR 4.4%, SAVR 11.9% (p=0.01) and 6.66% died among the subgroup who did not have any mechanical intervention. Higher complication rates were observed among patients who had SAVR than those who had TAVR including acute kidney injury (39.8% vs 22.4%; p=0.01), septic shock (12.1% vs 4.4%; p=0.05) and cardiogenic shock (22% vs 4.4%; p<0.001). Acute heart failure was higher among patients who had TAVR (40.2% vs 27.5%; p=0.04) than those who had SAVR. All conduction block and ischaemic stroke were similar between the two groups (p=0.09 and p=0.1). The overall 30-day readmission rate among AM with AS encounters was 16.82%, higher among TAVR compared to SAVR subgroups (21.25% vs 11.17%; p=0.001). CONCLUSIONS: Among AM with AS hospitalisations, TAVR had mortality benefits compared to SAVR and non-mechanical intervention subgroups. Moreover, higher 30-day mortality rate were observed among SAVR subgroup, which may suggest that TAVR should be strongly considered in AM patients complicated by AS.

Trends and complications associated with acute new-onset heart failure: a National Readmissions Database-based cohort study.

Literature regarding recent trends and outcomes of acute new-onset heart failure (AHF) with preserved ejection fraction (AHFpEF) and reduced ejection fraction (AHFrEF) is limited. The objective of this study is to study the outcomes of AHFpEF and AHFrEF in the USA. Data from the National Readmissions Database (NRD) sample that constitutes 49.1% of the stratified sample of all hospitals in the USA, representing more than 95% of the national population, were analyzed for hospitalization visits for acute heart failure. ICD-9 and ICD-10 codes were used to identify AHF. A total of 2,559,102 adult index AHF patients (mean age 70.79 ± 14.58 years, 49.4% females), 1,028,970 (40.2%) AHFpEF and 1,330,999 (52%) AHFrEF, were recorded in the National Readmissions Database for the years 2016-2018. A total of 152,465 (5.96%) acute heart failure, 47,271 (4.6%) AHFpEF and 91,973 (6.91%) AHFrEF, died during hospitalization, and 45,810 (1.9%) were readmitted in 30 days among alive discharges. Higher complication rates which included ventricular arrhythmias, acute coronary, and cerebrovascular events were observed among AHFrEF than AHFpEF. Higher proportion of patients with AHFrEF needed intensive care unit and ventilatory support during the hospitalization. The trend of incidence of AHFrEF, mortality among AHFrEF, and overall mortality worsened while AHFpEF improved over the study years 2012-2018 (p-trend < 0.05). Coronary procedures improved mortality rates among AHFpEF and AHFrEF. AHF is very common and is associated with significant mortality. The incidence of AHFrEF and mortality among AHFrEF had worsened, which calls for urgent intervention. Improved recognition of AHF is needed, and guideline-directed treatment of underlying risk factors including coronary artery disease can improve mortality. Graphic abstract of the analysis presented (created with BioRender.com).

Outcomes of in-hospital cardiac arrest in COVID-19 patients: A proportional prevalence meta-analysis.

BACKGROUND: Limited epidemiological data are available on the outcomes of in-hospital cardiac arrest (CA) in COVID-19 patients. METHODS: We performed literature search of PubMed, EMBASE, Cochrane, and Ovid to identify research articles that studied outcomes of in-hospital cardiac arrest in COVID-19 patients. The primary outcome was survival at discharge. Secondary outcomes included return of spontaneous circulation (ROSC) and types of cardiac arrest. Pooled percentages with a 95% confidence interval (CI) were calculated for the prevalence of outcomes. RESULTS: A total of 7,891 COVID patients were included in the study. There were 621 (pooled prevalence 8%, 95% CI 4-13%) cardiac arrest patients. There were 52 (pooled prevalence 3.0%; 95% CI 0.0-10.0%) patients that survived at the time of discharge. ROSC was achieved in 202 (pooled prevalence 39%;95% CI 21.0-59.0%) patients. Mean time to ROSC was 7.74 (95% CI 7.51-7.98) min. The commonest rhythm at the time of cardiac arrest was pulseless electrical activity (pooled prevalence 46%; 95% 13-80%), followed by asystole (pooled prevalence 40%; 95% CI 6-80%). Unstable ventricular arrhythmia occurred in a minority of patients (pooled prevalence 8%; 95% CI 4-13%). CONCLUSION: This pooled analysis of studies showed that the survival post in-hospital cardiac arrest in COVID patients is dismal despite adequate ROSC obtained at the time of resuscitation. Nonshockable rhythm cardiac arrest is commoner suggesting a non-cardiac cause while cardiac related etiology is uncommon. Future studies are needed to improve the survival in these patients.

Outcomes of intravascular ultrasound versus optical coherence tomography guided percutaneous coronary angiography: A meta regression-based analysis.

BACKGROUND: Studies comparing clinical outcomes with intravascular ultrasound (IVUS) versus optical coherence tomography (OCT) guidance for percutaneous coronary intervention (PCI) in patients presenting with coronary artery disease, including stable angina or acute coronary syndrome, are limited. METHODS: We performed a detailed search of electronic databases (PubMed, Embase, and Cochrane) for randomized controlled trials and observational studies that compared cardiovascular outcomes of IVUS versus OCT. Data were aggregated for the primary outcome measure using the random-effects model as pooled risk ratio (RR). The primary outcome of interest was major adverse cardiac events (MACE), cardiac mortality, and all-cause mortality. Secondary outcomes included myocardial infarction (MI), stent thrombosis (ST), target lesion revascularization (TLR), and stroke. RESULTS: A total of seven studies met the inclusion criteria, comprising 5917 patients (OCT n = 2075; IVUS n = 3842). OCT-PCI versus IVUS-guided PCI comparison yielded no statistically significant results for all the outcomes; MACE (RR 0.78; 95% confidence interval [CI], 0.57-1.09; p = 0.14), cardiac mortality (RR 0.97; 95% CI, 0.27-3.46; p = 0.96), all-cause mortality (RR 0.74; 95% CI, 0.39-1.39; p = 0.35), MI (RR 1.27; 95% CI, 0.52-3.07; p = 0.60), ST (RR 0.70; 95% CI, 0.13-3.61; p = 0.67), TLR (RR 1.09; 95% CI, 0.53-2.25; p = 0.81), and stroke (RR 2.32; 95% CI, 0.42-12.90; p = 0.34). Furthermore, there was no effect modification on meta-regression including demographics, comorbidities, lesion location, lesion length, and stent type. CONCLUSIONS: In this meta-analysis, OCT-guided PCI was associated with no difference in clinical outcomes compared with IVUS-guided PCI.

Brain Natriuretic Peptide as a Marker of Adverse Neurological Outcomes Among Survivors of Cardiac Arrest.

BACKGROUND: Neurological prognosis after cardiac arrest remains ill-defined. Plasma brain natriuretic peptide (BNP) may relate to poor neurological prognosis in brain-injury patients, though it has not been well studied in survivors of cardiac arrest. METHODS: We performed a retrospective review and examined the association of BNP with mortality and neurological outcomes at discharge in a cohort of cardiac arrest survivors enrolled from January 2012 to December 2016 at the Wake Forest Baptist Hospital, in North Carolina. Cerebral performance category (CPC) and modified Rankin scales were calculated from the chart based on neurological evaluation performed at the time of discharge. The cohort was subdivided into quartiles based on their BNP levels after which multivariable adjusted logistic regression models were applied to assess for an association between BNP and poor neurological outcomes as defined by a CPC of 3 to 4 and a modified Rankin scale of 4 to 5. RESULTS: Of the 657 patients included in the study, 254 patients survived until discharge. Among these, poor neurological status was observed in 101 (39.8%) patients that had a CPC score of 3 to 4 and 97 patients (38.2%) that had a modified Rankin scale of 4 to 5. Mean BNP levels were higher in patients with poor neurological status compared to those with good neurological status at discharge (P = .03 for CPC 3-4 and P = .02 for modified Rankin score 4-5). BNP levels however, did not vary significantly between patients that survived and those that expired (P = .22). BNP did emerge as a significant discriminator between patients with severe neurological disability at discharge when compared to those without. The area under the curve for BNP predicting a modified Rankin score of 4 to 5 was 0.800 (95% confidence interval [CI] 0.756-0.844, P < .001) and for predicting CPC 3 to 4 was 0.797 (95% CI 0.756-0.838, P < .001). BNP was able to significantly improve the net reclassification index and integrated discriminatory increment (P < .05). BNP was not associated with long-term all-cause mortality (P > .05). CONCLUSIONS: In survivors of either inpatient or out-of-hospital cardiac arrest, increased BNP levels measured at the time of arrest predicted severe neurological disability at discharge. We did not observe an independent association between BNP levels and long-term all-cause mortality. BNP may be a useful biomarker for predicting adverse neurological outcomes in survivors of cardiac arrest.

ST-Elevation Myocardial Infarction Among Septic Shock and Coronary Interventions: A National Emergency Database Study.

OBJECTIVE: To study coronary interventions and mortality among patients with ST-elevated myocardial infarction (STEMI) who were admitted with septic shock. METHODS: Data from the national emergency department sample (NEDS) that constitutes 20% sample of hospital-owned emergency departments in the United States was analyzed for the septic shock related visits from 2016 to 2018. Septic shock was defined by the ICD codes. RESULTS: Out of 1 375 507 adult septic shock patients, 521 300 had a primary diagnosis of septic shock (mean age 67.41±15.67 years, 51.1% females) in the national emergency database for the years 2016 to 2018. Of these patients, 2768 (0.53%) had STEMI recorded during the hospitalization. Mortality rates for STEMI patients were higher than patients without STEMI (52.3% vs 23.5%). Mortality rates improved with PCI among STEMI patients (43.8% vs 56.2%). Coronary angiography was performed among 16% of patients of which percutaneous coronary intervention (PCI) rates were 7.7% among patients with STEMI septic shock. PCI numerically improved mortality, however, had no significant difference than patients without PCI on multivariate logistic regression and univariate logistic regression post coarsened exact matching of baseline characteristics among STEMI patients. Among the predictors, STEMI was a significant predictor of mortality in septic shock patients (OR 2.87, 95% CI 2.37-3.49; P<.001). Age, peripheral vascular disease, were predominant predictors of mortality in STEMI with septic shock subgroup (P <.001). Pneumonia was the predominant underlying infection among STEMI (36.4%) and without STEMI group (29.5%). CONCLUSION: STEMI complicating septic shock worsens mortality. PCI and coronary angiography numerically improved mortality, however, had no significant difference from patients without PCI. More research will be needed to improve mortality in such a critically ill subgroup of patients.

Equipment entrapment during redo-TAVR with successful BASILICA procedure.

Transcatheter aortic valve replacement (TAVR) for transcatheter heart valve failure has been suggested for high-risk patients. TAVR-in-TAVR, however, may lead to complex leaflet interactions causing coronary ostial obstruction, which is a devastating complication. Coronary protection with provisional stent placement may be challenging. We describe the first percutaneous transaxillary case of TAVR-in-TAVR with Bioprosthetic Aortic Scallop Intentional Laceration to prevent Iatrogenic Coronary Artery obstruction (BASILICA) where guide catheters used for coronary protection were entrapped between the valve frames. We describe anatomical predictors and management considerations. Operators should be aware of this important complication during TAVR-in-TAVR valve placement.

Incidence, Predictors, and Prognosis of Acute Kidney Injury Among Cardiac Arrest Survivors.

BACKGROUND: Acute kidney injury (AKI) is common among cardiac arrest survivors. However, the outcomes and predictors are not well studied. METHODS: This is a cohort study of cardiac arrest patients enrolled from January 2012 to December 2016 who were able to survive for 24 hours post-cardiopulmonary resuscitation. Patients with anuria, chronic kidney disease (stage 5), and end-stage renal disease were excluded. Acute kidney injury (stage 1) or higher was defined using Kidney Disease: Improving Global Outcomes classification. Multivariable adjusted regression models were used to compute hazard ratio (HR) for association of AKI with risk of mortality and odds ratio (OR) with risk of poor neurological outcomes after adjusting for demographics, comorbidities, and medical therapy. Multivariable logistic regression model was used to compute OR for association of various predictors with AKI. RESULTS: Of 842 cardiac arrest survivors, 588 (69.8%) developed AKI. Among AKI patients, 69.4% died compared with 52.0% among non-AKI patients. In multivariable adjusted Cox proportional hazard model, development of AKI post-cardiac arrest was significantly associated with mortality (HR: 1.35; 95% confidence interval [CI]: 1.07-1.71, P = .01) and poor neurological outcomes defined as cerebral performance category >2 (OR: 2.27; 95% CI: 1.45-3.57, P < .001) and modified Rankin scale >3 (OR: 2.22; 95% CI: 1.43-3.45, P < .001). Postdischarge dialysis was also associated with increased risk of mortality (HR: 2.57; 95% CI: 1.57-4.23, P < .001). Use of vasopressors was strongly associated with development of AKI and continued need for postdischarge dialysis. CONCLUSIONS: Acute kidney injury was associated with increased risk of mortality and poor neurological outcomes. There is need for further studies to prevent AKI in cardiac arrest survivors.

Incremental prognostic value of SPECT-MPI in chronic kidney disease: A reclassification analysis.

BACKGROUND: Traditional cardiovascular (CV) risk factors have limited predictive value of CV mortality in patients with chronic kidney disease (CKD, creatinine clearance less than 60 mL/minute per 1.73 m2). The aim of this study was to evaluate incremental and independent prognostic value of single-photon emission computerized tomography-myocardial perfusion imaging (SPECT-MPI) across continuum of renal function. METHODS: We retrospectively studied 11,518 (mean age, 65 ± 12 years; 52% were men) patients referred for a clinical indication of SPECT-MPI between April 2004 and May 2009. Primary end point was composite of cardiac death and non-fatal myocardial infarction (CD/MI). We examined the relationship of total perfusion defect (TPD) and CD/MI in multiple Cox regression models for CV risk factors and GFR. The incremental predictive value of TPD was examined using Harrell's c-index, net reclassification index (NRI), and integrated discrimination index (IDI). RESULTS: Over a median follow-up of 5 years (25th to 75th percentiles, 3.0-6.5 years), 1,692 (14.5%) patients experienced CD/MI (740 MI and 1,182 CD). In a multivariable model adjusted for traditional CV risk factors and GFR, the presence of a perfusion defect was independently associated with increased risk of CD/MI (HR = 2.10; 95% CI 1.81, 2.43, p < .001). Using Cox regression, TPD improved the discriminatory ability beyond traditional CV risk factors and GFR [from AUC = 0.725, (95% CI 0.712-0.738) to 0.784, (95% CI 0.772-0.796), p < .0001]. Furthermore, TPD improves risk stratification of CKD patients over and above traditional CV risk factors and GFR [NRI = 14%, 95% CI (12%-16%, p < .001) and relative IDI = 60%, 95% CI (51%, 66%, p < .001)]. CONCLUSIONS: Across the spectrum of renal function, SPECT-MPI perfusion defects independently and incrementally reclassified patients for their risk of CD/MI, beyond traditional CV risk factors.

Cardiorespiratory fitness and incident heart failure: The Henry Ford ExercIse Testing (FIT) Project.

BACKGROUND: Prior studies have demonstrated cardiorespiratory fitness (CRF) to be a strong marker of cardiovascular health. However, there are limited data investigating the association between CRF and risk of progression to heart failure (HF). The purpose of this study was to determine the relationship between CRF and incident HF. METHODS: We included 66,329 patients (53.8% men, mean age 55 years) free of HF who underwent exercise treadmill stress testing at Henry Ford Health Systems between 1991 and 2009. Incident HF was determined using International Classification of Diseases, Ninth Revision codes from electronic medical records or administrative claim files. Cox proportional hazards models were performed to determine the association between CRF and incident HF. RESULTS: A total of 4,652 patients developed HF after a median follow-up duration of 6.8 (±3) years. Patients with incident HF were older (63 vs 54 years, P<.001) and had higher prevalence of known coronary artery disease (42.3% vs 11%, P<.001). Peak metabolic equivalents (METs) of task were 6.3 (±2.9) and 9.1 (±3) in the HF and non-HF groups, respectively. After adjustment for potential confounders, patients able to achieve ≥12 METs had an 81% lower risk of incident HF compared with those achieving <6 METs (hazard ratio 0.19 [95% CI 0.14-0.29], P for trend < .001). Each 1 MET achieved was associated with a 16% lower risk (hazard ratio 0.84 [95% CI 0.82-0.86], P<.001) of incident HF. CONCLUSIONS: Our analysis demonstrates that higher level of fitness is associated with a lower incidence of HF independent of HF risk factors.

Principals and clinical applications of magnetic resonance cardiac spectroscopy in heart failure.

Cardiac magnetic resonance spectroscopy (MRS) is a noninvasive method to assess by-products of myocardial metabolism. Recent developments in shorter scan protocols and more powerful field strengths have created interest in utilizing this technology in studying and characterizing the metabolic derangements in heart failure patients. Our lack of understanding in heart failure could be greatly enhanced by identifying the metabolic changes and eventually modifying metabolic substrate to achieve improved cardiac mechanics with the aid of this technology. However, there are several impediments for the widespread applicability of this technology. This review discusses the principals of human cardiac MRS and literature pertaining to use of MRS in patients with cardiomyopathy.

Comparison of machine learning techniques to predict all-cause mortality using fitness data: the Henry ford exercIse testing (FIT) project.

BACKGROUND: Prior studies have demonstrated that cardiorespiratory fitness (CRF) is a strong marker of cardiovascular health. Machine learning (ML) can enhance the prediction of outcomes through classification techniques that classify the data into predetermined categories. The aim of this study is to present an evaluation and comparison of how machine learning techniques can be applied on medical records of cardiorespiratory fitness and how the various techniques differ in terms of capabilities of predicting medical outcomes (e.g. mortality). METHODS: We use data of 34,212 patients free of known coronary artery disease or heart failure who underwent clinician-referred exercise treadmill stress testing at Henry Ford Health Systems Between 1991 and 2009 and had a complete 10-year follow-up. Seven machine learning classification techniques were evaluated: Decision Tree (DT), Support Vector Machine (SVM), Artificial Neural Networks (ANN), Naïve Bayesian Classifier (BC), Bayesian Network (BN), K-Nearest Neighbor (KNN) and Random Forest (RF). In order to handle the imbalanced dataset used, the Synthetic Minority Over-Sampling Technique (SMOTE) is used. RESULTS: Two set of experiments have been conducted with and without the SMOTE sampling technique. On average over different evaluation metrics, SVM Classifier has shown the lowest performance while other models like BN, BC and DT performed better. The RF classifier has shown the best performance (AUC = 0.97) among all models trained using the SMOTE sampling. CONCLUSIONS: The results show that various ML techniques can significantly vary in terms of its performance for the different evaluation metrics. It is also not necessarily that the more complex the ML model, the more prediction accuracy can be achieved. The prediction performance of all models trained with SMOTE is much better than the performance of models trained without SMOTE. The study shows the potential of machine learning methods for predicting all-cause mortality using cardiorespiratory fitness data.

Cardiorespiratory Fitness and Risk of Incident Atrial Fibrillation: Results From the Henry Ford Exercise Testing (FIT) Project.

BACKGROUND: Poor cardiorespiratory fitness (CRF) is an independent risk factor for cardiovascular morbidity and mortality. However, the relationship between CRF and atrial fibrillation (AF) is less clear. The aim of this analysis was to investigate the association between CRF and incident AF in a large, multiracial cohort that underwent graded exercise treadmill testing. METHODS AND RESULTS: From 1991 to 2009, a total of 64 561 adults (mean age, 54.5±12.7 years; 46% female; 64% white) without AF underwent exercise treadmill testing at a tertiary care center. Baseline demographic and clinical variables were collected. Incident AF was ascertained by use of International Classification of Diseases, Ninth Revision code 427.31 and confirmed by linkage to medical claim files. Nested, multivariable Cox proportional hazards models were used to estimate the independent association of CRF with incident AF. During a median follow-up of 5.4 years (interquartile range, 3-9 years), 4616 new cases of AF were diagnosed. After adjustment for potential confounders, 1 higher metabolic equivalent achieved during treadmill testing was associated with a 7% lower risk of incident AF (hazard ratio, 0.93; 95% confidence interval, 0.92-0.94; P<0.001). This relationship remained significant after adjustment for incident coronary artery disease (hazard ratio, 0.92; 95% confidence interval, 0.91-0.93; P<0.001). The magnitude of the inverse association between CRF and incident AF was greater among obese compared with nonobese individuals (P for interaction=0.02). CONCLUSIONS: There is a graded, inverse relationship between cardiorespiratory fitness and incident AF, especially among obese patients. Future studies should examine whether changes in fitness increase or decrease risk of atrial fibrillation. This association was stronger for obese compared with nonobese, especially among obese patients.

Prognostic value of extracardiac incidental findings on attenuation correction cardiac computed tomography.

BACKGROUND: Attenuation corrected computed tomography (CTAC) is often performed to improve the specificity of single-photon emission tomography imaging. Extracardiac incidental findings are frequently observed. It is unclear whether these findings have any prognostic value. METHODS: Consecutive patients (n = 1139) at a tertiary care center were retrospectively evaluated for incidental findings on CTAC. Clinically significant incidental findings were defined as findings warranting physician follow-up. Information regarding subsequent resource utilization was obtained by chart review. Cox proportional hazard model adjusted for demographic and clinical variables was used to evaluate association of these incidental findings with all-cause and cancer-specific mortality. RESULTS: A total of 135 (12%) patients with incidental findings were identified, 83 of whom (68%) were newly diagnosed. Lung nodules were the most common finding, present in 92 (68%) patients. Over a median follow-up of 468 days, incidental findings were not significantly associated with increased risk of all-cause mortality (HR 1.34; 95% CI 0.77-2.33, P = 0.29) but was significantly associated with cancer-specific mortality (HR 3.21; 95% CI 1.26-8.14, P = 0.01). This association remained statistically significant when the analysis was limited to newly diagnosed incidental findings. Among patients with incidental findings, follow-up radiographic studies were conducted in 87%, and invasive procedures performed in 32%. Physician office-based follow-up of these findings occurred in 42% of patients and incidental finding-related hospitalization occurred in 14%. CONCLUSIONS: This study shows that incidental findings are common and were associated with all-cause and cancer-specific mortality but only the later remained statistically significant after multivariable adjustment.

Implications of the new American College of Cardiology/American Heart Association cholesterol guidelines for primary atherosclerotic cardiovascular disease event prevention in a multi ethnic cohort: Multi-Ethnic Study of Atherosclerosis (MESA).

BACKGROUND: The impact of replacing the National Cholesterol Education Program (NCEP)/Adult Treatment Program (ATP) III cholesterol guidelines with the new 2013 American College of Cardiology (ACC)/American Heart Association (AHA) guidelines for primary prevention of cardiovascular disease is unclear. METHODS: We used risk factor and 10-year clinical event rate data from MESA, combined with estimates of efficacy of moderate and high-intensity statin therapy from meta-analyses of statin primary prevention trials to estimate (a) the change in number of subjects eligible for drug therapy and (2) the anticipated reduction in atherosclerotic cardiovascular disease (ASCVD) events and increment in type 2 diabetes mellitus (T2DM) associated with the change in cholesterol guidelines. RESULTS: Of the 6,814 MESA participants, 5,437 were not on statins at baseline and had complete data for analysis (mean age 61.4±10.3). Using the NCEP/ATP III guidelines, 1,334 (24.5%) would have been eligible for statin therapy compared with 3,015 (55.5%) under the new ACC/AHA guidelines. Among the subset of newly eligible, 127/1,742 (7.3%) had an ASCVD event during 10years of follow-up. Assuming 10years of moderate-intensity statin therapy, the estimated absolute reduction in ASCVD events for the newly eligible group was 2.06% (number needed to treat [NNT] 48.6) and the estimated absolute increase in T2DM was 0.90% (number needed to harm [NNH] 110.7). Assuming 10years of high-intensity statin therapy, the corresponding estimates for reductions in ASCVD and increases in T2DM were as follows: ASCVD 2.70% (NNT 37.5) and T2DM 2.60% (NNH 38.6). The estimated effects of moderate-intensity statins on 10-year risk for ASCVD and T2DM in participants eligible for statins under the NCEP/ATP III were as follows: 3.20% (NNT 31.5) and 1.06% (NNH 94.2), respectively. CONCLUSION: Substituting the NCEP/ATP III cholesterol guidelines with the 2013 ACC/AHA cholesterol guidelines in MESA more than doubled the number of participants eligible for statin therapy. If the new ACC/AHA cholesterol guidelines are adopted and extend the primary prevention population eligible for treatment, the risk-benefit profile is much better for moderate-intensity than high-intensity statin treatment.

Microvasculature and incident atrioventricular conduction abnormalities in the Multi-Ethnic Study of Atherosclerosis (MESA).

Abnormalities of the microvasculature are linked to major cardiac events, but their role in the development of atrioventricular conduction abnormalities (AVCA) is unknown. We examined the association between central retinal arteriolar equivalent (CRAE), a measure of the microvasculature, and incident AVCA. This analysis included 3975 participants free of AVCA at baseline from the Multi-Ethnic Study of Atherosclerosis (MESA). Incident AVCA was defined as a composite of new heart rate-adjusted PR interval ⩾ 200 ms (first-degree AV block) and advanced block (second-degree or complete AV block) detected from the MESA exam 5 electrocardiogram (ECG). CRAE was measured from retinal photographs at exam 2. Both ECGs and retinal photographs were collected using standardized methods and read and graded at central core labs. Incident AVCA were present in 7.4% (n=290) of the participants, of which 94% were first-degree AV block. Incident AVCA were increasingly more common in participants with narrower CRAE (4.6% in Q4, 6.4% in Q3, 7.0% in Q2 and 10.8% in Q1, p-value for trend < 0.0001). The socio-demographic and cardiovascular disease risk-adjusted odds of incident AVCA in the Q1 group (the group with the narrowest retinal arteriolar diameter) was nearly twice the odds in the Q4 group (OR: 1.68, 95% CI: 1.15-2.51). This association remained significant after adjustment for major ECG abnormalities and incident cardiovascular disease (Q1 vs Q4, OR: 1.65, 95% CI: 1.01-2.71). In conclusion, narrower retinal arteriolar caliber is associated with development of new AV conduction abnormalities.

Risk Stratification for Primary Prevention of Coronary Artery Disease: Roles of C-Reactive Protein and Coronary Artery Calcium.

Risk stratification of individuals at risk for atherosclerotic cardiovascular disease (ASCVD) plays an important role in primary prevention of cardiovascular disease. In addition to risk scores derived from conventional cardiovascular risk factors, high sensitivity C-reactive protein (hs-CRP) and coronary artery calcium (CAC) have emerged as two of the widely accepted non traditional risk factors for atherosclerotic disease that have shown incremental prognostic value in predicting cardiovascular events. This review systematically assesses the role of hs-CRP and CAC in various studies and demonstrates meta-analyses of the incremental prognostic value of hs-CRP and CAC in identifying patients at risk of future CVD events. Compared with this, CAC showed better incremental prognostic value and might be a better indicator of ASCVD risk in asymptomatic adults.

Electrocardiographic and Echocardiographic Left Ventricular Hypertrophy in the Prediction of Stroke in the Elderly.

INTRODUCTION: It is unclear whether left ventricular hypertrophy (LVH) detected by electrocardiography (ECG-LVH) is equally predictive of heart failure as LVH detected by echocardiography (echo-LVH). METHODS: This analysis included 4,008 white participants (41% men) aged 65 years or older from the Cardiovascular Health Study who were free of stroke and major intraventricular conduction defects. ECG-LVH was defined by the Cornell criteria from baseline ECG data and echo-LVH was calculated from baseline echocardiography measurements. Cox regression was used to compute hazard ratios (HRs) and 95% confidence intervals (CIs) for the association between ECG-LVH and echo-LVH and adjudicated incident stroke events, separately. Harrell's concordance indices (C-index) were calculated for the Framingham Stroke Risk Score with inclusion of ECG-LVH and echo-LVH, separately. RESULTS: ECG-LVH was detected in 136 (3.4%) participants and echo-LVH was present in 208 (5.2%) participants. Over a median follow-up of 13 years, a total of 769 (19%; incidence rate = 15.4 per 1000 person-years) strokes occurred. In a multivariable Cox regression analysis adjusted for stroke risk factors and potential confounders, ECG-LVH (HR = 1.68; 95% CI = 1.23, 2.28) and echo-LVH (HR = 1.58; 95% CI = 1.17, 2.14) were associated with an increased risk of stroke. Similar values were obtained for the C-index when either ECG-LVH (C-index = .786) or echo-LVH (C-index = .786) were included in the Framingham Stroke Risk Score. CONCLUSION: ECG-LVH and echo-LVH are able to be used interchangeably in stroke risk scores.

Procedural success in transaxillary transcatheter aortic valve implantation according to type of transcatheter heart valve: results from the multicenter TAXI registry.

BACKGROUND: Transaxillary (TAx) transcatheter aortic valve implantation (TAVI) is a preferred alternative access in patients ineligible for transfemoral TAVI. AIMS: This study used the Trans-AXillary Intervention (TAXI) registry to compare procedural success according to different types of transcatheter heart valves (THV). METHODS: For the TAXI registry anonymized data of patients treated with TAx-TAVI were collected from 18 centers. Acute procedural, early and 1-month clinical outcomes were adjudicated in accordance with standardized VARC-3 definitions. RESULTS: From 432 patients, 368 patients (85.3%, SE group) received self-expanding (SE) THV and 64 patients (14.8%, BE group) received balloon-expandable (BE) THV. Imaging revealed lower axillary artery diameters in the SE group (max/min diameter in mm: 8.4/6.6 vs 9.4/6.8 mm; p < 0.001/p = 0.04) but a higher proportion of axillary tortuosity in BE group (62/368, 23.6% vs 26/64, 42.6%; p = 0.004) with steeper aorta-left ventricle (LV) inflow (55° vs 51°; p = 0.002) and left ventricular outflow tract (LVOT)-LV inflow angles (40.0° vs 24.5°; 0.002). TAx-TAVI was more often conducted by right sided axillary artery in the BE group (33/368, 9.0% vs 17/64, 26.6%; p < 0.001). Device success was higher in the SE group (317/368, 86.1% vs 44/64, 68.8%, p = 0.0015). In logistic regression analysis, BE THV were a risk factor for vascular complications and axillary stent implantation. CONCLUSIONS: Both, SE and BE THV can be safely used in TAx-TAVI. However, SE THV were more often used and were associated with a higher rate of device success. While SE THV were associated with lower rates of vascular complications, BE THV were more often used in cases with challenging anatomical circumstances.

Clinical outcomes and 30-day readmissions associated with high-output heart failure.

BACKGROUND: High-output heart failure (HOHF) is an underdiagnosed type of heart failure (HF) characterized by low systemic vascular resistance and high cardiac output. OBJECTIVE: This study sought to characterize the causes, mortality, and readmissions related to HOHF within the United States. METHODS: Data were collected from the Agency for Healthcare Research and Quality's Healthcare Cost and Utilization Project (HCUP) National Readmissions Database (NRD) from January 1, 2017, to November 30, 2019. We used the International Classification of Diseases, 10th revision (ICD-10), diagnostic codes to identify encounters with HOHF and heart failure with reduced ejection fraction (HFrEF). RESULTS: Of the total 5,080,985 encounters with HF, 3,897 hospitalizations (mean age 62.5 ± 17.9 years, 56.5% females) with HOHF and 5,077,088 hospitalizations with HFrEF were recorded. The most commonly associated putative etiologies of HOHF included pulmonary disease (19.8%), morbid obesity (9.9%), sepsis (9.6%), cirrhosis (8.9%), myelodysplastic syndrome (MDS) (7.9%), hyperthyroidism (5.5%), and sickle cell disease (3.3%). There was no significant difference in mortality rates [4.3% vs. 5.2%; odds ratio (OR) 0.9, 95% confidence interval (CI) 0.7-1.2] between HOHF and HFrEF. However, the 30-day readmission rate for HOHF was significantly lower than that for HFrEF (5.7% vs. 21.2%; OR 0.39, 95% CI 0.30-0.51). Cardiovascular (39.9%) followed by hematological (20.6%) complications accounted for the majority of 30-day readmissions in the HOHF group. CONCLUSIONS: HOHF is an infrequently reported cardiovascular complication associated with noncardiovascular disorders and is encountered in 0.07% of all encounters with HF. Although comparable in-hospital mortality between studied cohorts was observed, raising awareness and timely recognition of this entity are warranted.