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Background: Thoracic aortic aneurysm is a significant risk factor for aortic dissection and rupture. Guidelines recommend referral of patients to a cardiovascular specialist for periodic surveillance imaging with surgical intervention determined primarily by aneurysm size. We investigated the association between socioeconomic status and surveillance practices in patients with ascending aortic aneurysms. Methods: We retrospectively reviewed records of 465 consecutive patients diagnosed between 2013-2016 with ascending aortic aneurysm ≥4cm on computed tomography scans. Primary outcomes were clinical follow-up with a cardiovascular specialist and aortic surveillance imaging within 2 years following index scan. We stratified patients into quartiles using the area deprivation index (ADI), a validated percentile measure of 17 variables characterizing socioeconomic status at the census block group level. Competing risks analysis was used to determine interquartile differences in risk of death prior to follow up with a cardiovascular specialist. Results: Lower socioeconomic status was associated with significantly lower rates of surveillance imaging and referral to a cardiovascular specialist. On competing risks regression, the ADI quartile with lowest socioeconomic status had lower hazard of follow-up with a cardiologist or cardiac surgeon prior to death (HR 0.46 [0.34, 0.62], p<0.001). Though there were no differences in aneurysm size at time of surgical repair, patients in the lowest socioeconomic quartile were more frequently symptomatic at surgery than other quartiles (92% vs 23-38%, p<0.001). Conclusion: Patients with lower socioeconomic status receive less timely follow-up imaging and specialist referral for thoracic aortic aneurysms, resulting in surgical intervention only when alarming symptoms are already present.

Background: Bicuspid aortic valve is the most common congenital heart defect and predisposes patients to developing aortic stenosis more frequently and at a younger age than the general population. However, the influence of bicuspid aortic valve on the rate of progression of aortic stenosis remains unclear. Methods: In 236 patients (177 tricuspid aortic valve, 59 bicuspid aortic valve) matched by initial severity of mild or moderate aortic stenosis, we retrospectively analyzed baseline echocardiogram at diagnosis with latest available follow-up echocardiogram. Baseline comorbidities, annualized progression rate of hemodynamic parameters, and hazard of aortic valve replacement were compared between valve phenotypes. Results: Median echocardiographic follow-up was 2.6 (IQR 1.6-4.2) years. Patients with tricuspid aortic stenosis were significantly older with more frequent comorbid hypertension and congestive heart failure. Median annualized progression rate of mean gradient was 2.3 (IQR 0.6-5.0) mmHg/year vs. 1.5 (IQR 0.5-4.1) mmHg/year (p=0.5), and that of peak velocity was 0.14 (IQR 0-0.31) m/s/year vs. 0.10 (IQR 0.04-0.26) m/s/year (p=0.7) for tricuspid vs. bicuspid aortic valve, respectively. On multivariate analyses, bicuspid aortic valve was not significantly associated with more rapid progression of aortic stenosis. In a stepwise Cox proportional hazards model adjusted for baseline mean gradient, bicuspid aortic valve was associated with increased hazard of aortic valve replacement (HR: 1.7, 95% CI [1.0, 3.0], p=0.049). Conclusion: Bicuspid aortic valve may not significantly predispose patients to more rapid progression of mild or moderate aortic stenosis. Guidelines for echocardiographic surveillance of aortic stenosis need not be influenced by valve phenotype.

Understanding postoperative recovery is critical for guiding efforts to improve post-acute phase care. How recovery evolves during the first 30 days after cardiac surgery is not well-understood. A digital platform may enable granular quantification of recovery by frequently capturing patient-reported outcome measures (PROM) that can be logistically translatable to clinical implementation strategies that support recovery.We conducted a prospective cohort study using a digital platform to measure recovery after cardiac surgery using a PROM sent every 3 days for 30 days after surgery to characterize recovery in multiple domains (e.g., pain, sleep, activities of daily living, anxiety) and to identify factors related to the patient’s perception of overall recovery. We enrolled patients who underwent cardiac surgery at a tertiary center between January 2019 and March 2020 and automatically delivered PROMs and reminders electronically. Of the 10 surveys delivered per patient, a median 8 (IQR 6-10) were completed. Patients who experienced postoperative complications more commonly belonged to the worst overall recovery trajectory. Of the 12 domains modeled, only the worst anxiety trajectory was associated with the worse overall recovery trajectory membership, suggesting that even when patients struggle in the recovery of other domains, the patient may still feel progress in their recovery.We demonstrate that using a digital platform, automated PROM data collection and characterization of multi-domain recovery trajectories is feasible and likely implementable in clinical practice. Overall recovery may be impacted by complications, while slow progress in constituent domains may still allow for the perception of overall recovery progression.

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Anomalous origin of the left circumflex artery is a rare anatomical variant that may present a unique challenge in emergent aortic surgery.

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Objective: Reports of prevalence and clinical significance of bicuspid aortic valve (BAV) disease are variable. We assessed our institutional echocardiography (ECHO) database to understand the reported prevalence of BAV and its potential association with thoracic aortic aneurysm disease (TAAD). Methods: All ECHOs of adult patients (>18 years) performed at a single institution between calendar year 2013 to 2018 were reviewed. BAV patients were categorized by age group (Young age:18-39 years; Middle age:40-65 years; Old age: >65years) to assess for aortic valvulopathy and TAAD. Logistic regression analysis was performed to understand association of BAV with TAAD. Results: Of 48,503 unique patient ECHOs, 245 (0.51%) described a diagnosis of BAV, with 93(40%) concomitant TAAD. Increased association with endocarditis (p=0.01) and severe aortic insufficiency (p=0.005) was seen in the Young group. Ascending aortic diameter was significantly higher in the Middle compared to the Young group (p<0.001), but similar to Old group. On multivariable regression, BSA(OR=7.31(2.27-23.57)) and age (OR=1.02(1.00-1.04)), but not BAV dysfunction (OR1.07(0.51-2.26)) were associated with TAAD. Conclusions: In this large cross-sectional ECHO study, reported BAV prevalence was 0.51%. We found high association of BAV with concomitant TAAD especially in patients greater than 40 years of age. This suggests that more frequent aortic surveillance may be warranted in the middle and old age BAV subjects.