Mahowald, Madeline

Spontaneous coronary artery dissection (SCAD) and Takotsubo syndrome (TTS) are two conditions presenting as acute coronary syndromes that predominantly affect women and are frequently triggered by emotional or physical stress. While traditionally considered distinct entities, emerging evidence suggests that these conditions may coexist more frequently than previously recognized, sharing common pathophysiological mechanisms centered on catecholamine-mediated pathways, vascular vulnerability, and hormonal influences. Their overlapping presentations create significant diagnostic challenges that may lead to misdiagnosis and suboptimal management. This narrative review examines the pathophysiological convergence between SCAD and TTS, addresses the diagnostic complexity arising when these entities coexist, and proposes a novel stepwise diagnostic algorithm integrating clinical risk stratification, coronary angiography, intracoronary imaging, and cardiac magnetic resonance imaging. The review also provides scenario-dependent management guidance and outlines priorities for future research.

Abstract Erdheim-Chester disease (ECD) is a rare systemic histiocytic neoplasm, with cardiac morbidities, including cardiovascular (CV) risk factors and cardiac conditions, playing a significant yet poorly understood role in the disease burden. This study evaluated the prevalence, characteristics, and prognosis of ECD in patients with (ECD-C) and without cardiac involvement (ECD-noC) and compared the burden of cardiac morbidities with matched controls. Patients diagnosed with ECD between 1990 and 2021 at a tertiary center were included, with cardiac involvement centrally assessed using radiographic studies. Cardiac morbidities were compared with a control group without ECD, matched for age, sex, body mass index, and smoking history. Among 104 patients with ECD, 39 (37%) had cardiac involvement. Patients with ECD-C had higher rates of hypertension (67% vs 46%), hyperlipidemia (67% vs 40%), heart failure (36% vs 8%), and pericardial effusion (28% vs 2%) than those with ECD-noC. Compared with the matched non-ECD cohort, patients with ECD had higher prevalence of coronary artery disease (20% vs 7%), heart failure (18% vs 4%), and antihypertensive drug use (55% vs 40%). Notably, patients with ECD-C had inferior progression-free survival (PFS) from frontline therapy compared with patients with ECD-noC (5-year PFS, 28.3% vs 70.5%). These findings highlight the burden of CV risk factors and cardiac conditions in ECD, even without a clinical diagnosis of ECD-C. Importantly, this cardiac morbidity burden is substantial for patients with ECD-C compared with ECD-noC. Our findings highlight the need for comprehensive cardiac risk assessment and management strategies to improve patient outcomes.

Purpose: The understanding of cardiac-involved ECD (ECD-CV) and how this affects outcomes and pre-existing diseases remains limited. We aimed to determine the association, burden, and severity of pre-existing and de novo cardiovascular (CV) comorbidities with ECD-CV compared to patients (pts) without cardiac-involved ECD (ECD-noCV). Methods: Records of pts with ECD diagnosed from Jan-1990 to Dec-2021, consecutively seen at Mayo Clinic, AZ, FL, and MN were reviewed. Cardiac involvement was diagnosed by imaging. CV comorbidities were captured before and after ECD diagnosis. CTCAE v3.0 based grading system was used to assess CV comorbidities which graded the conditions as mild (grade 1), moderate (grade 2), severe (grade 3), and life-threatening or disabling (grade 4). Chi-square test was used to determine if having ECD-CV worsens pre-existing CV comorbidities in pts with ECD. As per the established methods, the cumulative CV disease burden was defined after considering 8 CV morbidities that are known to have direct structural and functional implications on the heart, including hypertension (HTN), coronary artery disease (CAD), myocardial infarction (MI), congestive heart failure (CHF), atrial fibrillation (afib), pericardial effusion, valvular disease, and conduction disorders. A composite CV morbidity grade was assigned based on the highest grade in one of the 8 CV comorbidities (Oeffinger, NEJM, 2006). Lastly, a multivariant analysis was conducted using the presence of BRAFV600E mutation, smoking, age ≥ 60 years (yr), conventional vs targeted therapy, and ECD-CV in pts with a composite grade of 4. Results: Among 106 ECD pts, 38% (n=40) had cardiac involvement. The median age at diagnosis of ECD was 57 yr (range: 49-67); 61% were males. The median follow-up was 5 yr (95% CI: 3.5-6.1), and 4.1 yr (95% CI: 3.2-6.5) for ECD-CV and ECD-noCV pts, respectively p=0.92. The median time of CV diagnoses for the entire cohort before and after ECD diagnosis was 4.8 yr (range: 0.06-42.5) and 3.4 yr (range: 0.05-18.7), respectively. BRAFV600E mutation was present in 65% (n=26) of ECD-CV vs 42% (n=28) of ECD-noCV, p=0.02. Eight pts with ECD-CV died; one from sudden cardiac death, while 9 ECD-noCV pts died, p=0.39. Smoking was present in 43% (n=18) of ECD-CV pts compared to 24% with ECD-noCV (n=16), p=0.05. In comparison to ECD-noCV pts, increased prevalence of pre-existing HTN [59% (n=23) vs 35% (n=23), p=0.016] and MI [10% (n=4) vs 2% (n=1), p=0.046] was seen in ECD-CV. There was no difference in hyperlipidemia, diabetes mellitus, CAD, CHF, valvular disease, afib, and conduction disorders among the two cohorts. After ECD diagnosis, de novo diagnosis of hyperlipidemia [67% (n=26) vs 38% (n=25); p=0.004] and CHF [35% (n=14) vs 7% (n=5); p=<0.001] was seen more frequently in ECD-CV pts compared to ECD-noCV. Following the diagnosis of ECD, the severity of pre-existing conditions did not change in pts with or without ECD-CV. ECD-CV pts had a greater cumulative CV disease burden as the total number of CV morbidities was greater in ECD-CV pts both before and after ECD diagnosis (Table 1). Additionally, pts with ECD-CV had greater severity of CV morbidity (composite grade ≥4) than ECD-noCV before (35% v 3%; p=<0.001) and after (42.5% vs 7.6%; p=<0.001) ECD diagnosis. The composite grade of 4 before ECD diagnosis was most attributable to pericardial effusion (42% in pts with ECD-CV vs 0% in pts with ECD-noCV) and CAD (50% in pts with ECD-CV vs 100% in pts with ECD-noCV); after ECD diagnosis pericardial effusion (42% in pts with ECD-CV vs 0% in pts with ECD-noCV) and CAD (41% in pts with ECD-CV vs 100% in pts with ECD-noCV). After considering BRAFV600E mutation, age ≥60, smoking, ECD-CV, and first-line therapy (conventional vs targeted therapy), ECD-CV was the only factor independently associated with a composite grade of ≥4, before (OR 25.6, 95% CI: 4.8-137) and after (OR 9.7, 95% CI: 3.0-30.8) ECD diagnosis. Nonetheless, smoking, age >60, and ECD-CV were independent factors associated when considered a composite grade of ≥3, before and after ECD diagnosis. Conclusion: ECD-CV did not prognosticate pts and did not worsen the pre-existing CV conditions compared to pts with ECD-noCV. However, ECD-CV pts had a higher cumulative CV disease burden and a higher grade of pre-existing and de novo CV morbidities compared to ECD-noCV. The presence of cardiac involvement in ECD was independently associated with a severe cumulative CV disease burden grade.

Background: Investigational transcatheter edge-to-edge repair (TEER) for severe tricuspid regurgitation (TR) has shown promise as an alternative to surgery, but factors influencing outcomes, optimal patient selection, and procedural timing remain incompletely defined. Given the limitations of determining TR severity by conventional echocardiography, our objectives were to determine whether invasive right atrial (RA) pressures performed during the procedure are related to patient outcomes. Methods: This study was a retrospective review of patients who underwent off-label tricuspid TEER using MitraClip (Abbott Vascular, Menlo Park, CA) for significant TR at a single institution. Intraprocedural mean RA pressure, RA peak V-wave, RA pressure nadir, and systolic increase in RA pressure (XV height) were recorded. Results: Thirty-eight patients underwent tricuspid TEER; 33 underwent concomitant mitral TEER for mitral regurgitation. The study cohort was 39% female with a mean age of 78.6±14.3 years. Median follow-up was 339 days (interquartile range, 100–601). Any reduction in mean RA pressure, RA peak V-wave, RA nadir, and XV height occurred in 74%, 82%, 45%, and 87% of patients, respectively. At 1 year, event-free survival was 47%. Postprocedure XV height correlated with TR severity as determined by echocardiography ( P <0.0001). The highest quartile of postprocedure XV height (>8 mm Hg) had worse event-free survival compared with those who had concluding XV height ≤8 mm Hg ( P =0.02). Attainment of a concluding XV height less than or equal to median value was associated with a lower creatinine the next day (1.27±0.47 versus 1.64±0.47 mg/dL, P =0.04). Conclusions: Intraprocedural XV height correlates with TR severity after tricuspid TEER, and lower concluding pressures are associated with improved outcomes. Analysis of RA pressures may serve as a complementary tool for the evaluation of disease severity and procedural guidance.

Introduction Cardiovascular disease is the most common cause of morbidity and mortality in the United States. Patients are increasingly using internet search to find health-related information, including searches for cardiovascular diseases and risk factors. We sought to evaluate the change in the state by state correlation of cardiovascular disease and risk factors with Google Trends search volumes. Methods Data on cardiovascular disease hospitalizations and risk factor prevalence were obtained from the publically available Centers for Disease Control and Prevention website from 2006 to 2018. Google Trends data were obtained for matching conditions and time periods. Simple linear regression was performed to evaluate for an increase in correlation over time. Results Hospitalizations for six separate cardiovascular disease conditions showed moderate to strong correlation with online search data in the last period studied (heart failure (0.58, p < .001), atrial fibrillation (0.57, p < .001), coronary heart disease (0.58, p < .001), myocardial infarction (0.70, p < .001), stroke (0.62, p < .001), cardiac dysrhythmia (0.46, p < .001)) in the United States. All diseases studied showed a positive increase in correlation throughout the time period studied ( p < .05). All five of the cardiovascular risk factors studied showed strong correlation with online search data; diabetes ( R = 0.78, p < .001), cigarette use ( R = 0.79, p < .001), hypertension ( R = 0.81, p < .001), high cholesterol ( R = 0.59, p < .001), and obesity ( p = 0.80, p < .001) in the United States. Three of the five risk factors showed an increasing correlation over time. Conclusion The prevalence of and hospitalizations for cardiovascular conditions in the United States strongly correlate with online search volumes in the United States when analyzed by state. This relationship has progressively strengthened or been strong and stable over recent years for these conditions. Google Trends represents an increasingly valuable tool for evaluating the burden of cardiovascular disease and risk factors in the United States.

Abstract Introduction: Cardiovascular disease is the most common cause of morbidity and mortality in the United States and in the world. Patients are increasingly using internet search to find health-related information, including searches for cardiovascular diseases and risk factors. We sought to evaluate the change in the state by state correlation of cardiovascular disease and risk factors with Google Trends search volumes. Methods: Data on cardiovascular disease hospitalizations and risk factor prevalence were obtained from the publically available CDC website from 2006-2018. Google Trends data were obtained for matching conditions and time periods. Simple linear regression was performed to evaluate for an increase in correlation over time. Results: Hospitalizations for six separate cardiovascular disease conditions showed moderate to strong correlation with online search data in the last period studied (heart failure (0.58, P<0.001), atrial fibrillation (0.57, P<0.001), coronary heart disease (0.58, P<0.001), myocardial infarction (0.70, P<0.001), stroke (0.62, P<0.001), cardiac dysrhythmia (0.46, P<0.001)). All diseases studied showed a positive increase in correlation throughout the time period studied (P<0.05). All five of the cardiovascular risk factors studied showed strong correlation with online search data; diabetes (R=0.78, P<0.001), cigarette use (R=0.79, P<0.001), hypertension (R=0.81, P<0.001), high cholesterol (R=0.59, P<0.001), obesity (R=0.80, P<0.001). Three of the five showed an increasing correlation over time. Conclusion: The prevalence of and hospitalizations for cardiovascular conditions in the United States strongly correlate with online search volumes nationwide and when analyzed by state. This relationship has progressively strengthened or been strong and stable over recent years for these conditions. Google Trends represents an increasingly valuable tool for evaluating the burden of cardiovascular disease and risk factors in the United States.