Autoimmune Pericarditis: Multimodality Imaging.

PURPOSE OF THE REVIEW: The purpose of this review is to understand the underlying mechanism that leads to pericarditis in systemic autoimmune and autoinflammatory diseases. The underlying mechanism plays a vital role in the appropriate management of patients. In addition, we will review the current landscape of available cardiac imaging modalities with emphasis on pericardial conditions as well as proposed treatment and management tailored toward pericardial autoimmune and autoinflammatory processes. RECENT FINDINGS: Approximately 22% of all cases of pericarditis with a known etiology are caused by systemic autoimmune diseases such as systemic lupus erythematosus, rheumatoid arthritis, systemic sclerosis, and vasculitis. In recent years, there have been advancements of imaging modalities including cardiac MRI, cardiac CT scan, and PET scan and their respective nuances in regard to contrast use, technique, and views which clinicians may utilize to better understand the extent of a patient's pericardial pathology and the trajectory of his or her disease process. In this review, we will discuss systemic autoimmune and autoinflammatory diseases that involve the pericardium. We will also review different imaging modalities that are currently used to further characterize such conditions. Having a deeper understanding of such techniques will improve patient outcomes by helping clinicians tailor treatment plans according to the unique underlying condition.

Mechanical Circulatory Support and Critical Care Management of High-Risk Acute Pulmonary Embolism.

Hemodynamically significant pulmonary embolism (PE) remains a widely prevalent, underdiagnosed condition associated with mortality rates as high as 30%. The main driver of poor outcomes is acute right ventricular failure that remains clinically challenging to diagnose and requires critical care management. Treatment of high-risk (or massive) acute PE has traditionally included systemic anticoagulation and thrombolysis. Mechanical circulatory support, including both percutaneous and surgical approaches, are emerging as treatment options for refractory shock due to acute right ventricular failure in the setting of high-risk acute pulmonary embolism.

A Computable Algorithm for Medication Optimization in Heart Failure With Reduced Ejection Fraction.

Background: Guideline-directed medical therapy (GDMT) optimization can improve outcomes in heart failure with reduced ejection fraction. Objectives: The objective of this study was to determine if a novel computable algorithm appropriately recommended GDMT. Methods: Clinical trial data from the GUIDE-IT (Guiding Evidence-Based Therapy Using Biomarker Intensified Treatment in Heart Failure) and HF-ACTION (Heart Failure: A Controlled Trial Investigating Outcomes of Exercise Training) trials were evaluated with a computable medication optimization algorithm that outputs GDMT recommendations and a medication optimization score (MOS). Algorithm-based recommendations were compared to medication changes. A Cox proportional-hazards model was used to estimate the associations between MOS and the composite primary end point for both trials. Results: The algorithm recommended initiation of angiotensin-converting enzyme inhibitor/angiotensin receptor blocker, beta-blockers, and mineralocorticoid receptor antagonists in 52.8%, 34.9%, and 68.1% of GUIDE-IT visits, respectively, when not prescribed the drug. Initiation only occurred in 20.8%, 56.9%, and 15.8% of subsequent visits. The algorithm also identified dose titration in 48.8% of visits for angiotensin-converting enzyme inhibitor/angiotensin receptor blockers and 39.4% of visits for beta-blockers. Those increases only occurred in 24.3% and 36.8% of subsequent visits. A higher baseline MOS was associated with a lower risk of cardiovascular death or heart failure hospitalization (HR: 0.41; 95% CI: 0.21-0.80; P = 0.009) in GUIDE-IT and all-cause death and hospitalization (HR: 0.61; 95% CI: 0.44-0.84; P = 0.003) in HF-ACTION. Conclusions: The algorithm accurately identified patients for GDMT optimization. Even in a clinical trial with robust protocols, GDMT could have been further optimized in a meaningful number of visits. The algorithm-generated MOS was associated with a lower risk of clinical outcomes. Implementation into clinical care may identify and address suboptimal GDMT in patients with heart failure with reduced ejection fraction.

Health of the Food Environment Is Associated With Heart Failure Mortality in the United States.

BACKGROUND: Food environment factors contribute to cardiovascular disease, but their effect on population-level heart failure (HF) mortality is unclear. METHODS: We utilized the National Vital Statistics System and USDA Food Environment Atlas to collect HF mortality rates (MR) and 2 county food environment indices: (1) food insecurity percentage (FI%) and (2) food environment index (FEI), a scaled index (0-10, 10 best) incorporating FI% and access to healthy food. We used linear regression to estimate the association between food environment and HF MR Results: Mean county FI% and FEI were 13% and 7.8 in 2956 included counties. Counties with FI% above the national median had significantly higher HF MR (30.7 versus 26.7 per 100 000; P<0.001) compared with FI% below the national median. Counties with HF MR above the national median had higher FI%, lower FEI, lower density of grocery stores, poorer access to stores among older adults, and lower Supplemental Nutrition Assistance Program participation rate (P<0.001 for all). Lower county FI% (ß=-1.3% per 1% decrease) and higher county FEI (ß=-3.6% per 1-unit increase in FEI) were significantly associated with lower HF MR after adjustment for county demographic, socioeconomic, and health factors. This association was stronger for HF MR compared with non-HF cardiovascular disease MR and all-cause MR The relationship between food environment and HF MR was stronger in counties with the highest income inequity and poverty rate. CONCLUSIONS: Healthier food environment is significantly associated with lower HF mortality at the county level. This reinforces the role of food security on cardiovascular outcomes.