Background/Aim: In patients with bicuspid aortic valves, guidelines call for regular follow-up to monitor disease progression and guide timely intervention. We aimed to evaluate how closely these recommendations are followed at a tertiary care center. Methods: This was retrospective cohort study at a tertiary care center. Among 48,504 patients who received echocardiograms between 2013-2018, 245 patients were identified to have bicuspid aortic valve. Bivariate analyses compared patient and echocardiographic characteristics between patients who did and did not receive follow-up by a cardiovascular specialist. Results: The mean age of the cohort was 55.2  15.6 years and 30.2% were female. During a median follow-up of 3.5  2.2 years, 72.7% of patients had at least one visit with a cardiovascular specialist after diagnosis of bicuspid aortic valve by echocardiogram. Patients followed by specialists had a higher proportion of follow-up surveillance by echocardiogram (78.7% vs. 34.3%, p< .0001), or by CT or MRI (41.0% vs. 3.0%, p < .0001), and were more likely to undergo valve or aortic surgery compared with patients not followed by specialists. Patients with moderate to severe valvular or aortic pathology (aortic stenosis/regurgitation, dilated ascending aorta) were not more likely to be followed by a cardiovascular specialist or receive follow-up echocardiograms. Conclusions: Follow-up care for patients with bicuspid aortic valve was highly variable, and surveillance imaging was performed sparsely despite guidelines. There is an urgent need for surveillance and clinical follow-up mechanisms to monitor this patient population with increased risk of progressive valvulopathy and aortopathy.

Michael Shang

and 9 more

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.

Sameh Yousef

and 12 more

Background. Query a single institution computed tomography (CT) database to assess the prevalence of aortic arch anomalies in general adult population and their potential association with thoracic aortopathies. Methods. CT chest scan reports of patients aged 50-85 years old performed for any indication at a single health system between 2013 and 2016 were included in the analysis. Characteristics of patients with and without aortic arch anomalies were compared by t-test and Fisher exact tests. Logistic regression analysis was performed to assess for independent risk factors of thoracic aortic aneurysm. Results. Of 21,336 CT scans, 603 (2.8%) described arch anomalies. Bovine arch (n=354, 58.7%) was the most common diagnosis. Patients with arch anomalies were more likely to be female (p<0.001), non-Caucasian(p<0.001), and hypertensive (p<0.001). Prevalence of thoracic aortic aneurysm in arch anomalies group was 10.8% (n=65) compared to 4.1% (n=844) in the non-arch anomaly cohort (p<0.001). The highest prevalence of thoracic aneurysm was associated with right-sided arch combined with aberrant left subclavian configuration (33%), followed by bovine arch (13%), and aberrant right subclavian artery (8.2%). On binary logistic regression, arch anomaly (OR=2.85 [2.16-3.75]), aortic valve pathology (OR 2.93 [2.31-3.73]), male sex (OR 2.38 [2.01-2.80]), and hypertension (OR 1.47 [1.25-1.73]) were significantly associated with increased risk of thoracic aneurysm disease. Conclusions. Reported prevalence of aortic arch anomalies by CT imaging in the older adult population is ~3%, with high association of thoracic aortic aneurysm (OR=2.85) incidence in this subgroup. This may warrant a more tailored surveillance strategy for aneurysm disease in this subpopulation.

Gabe Weininger

and 7 more

Background: Complex cardiac operations may have better outcomes when performed by mid-career surgeons compared with surgeons in early or late stages of their career. However, it is unknown how cardiac case complexities are distributed among surgeons of different experience levels. Methods: We performed a cross-sectional study using New York (NY) and California (CA) statewide surgeon-level coronary artery bypass grafting (CABG) outcome data, including 336 cardiac surgeons who performed 43,604 CABGs. Surgeon-level data including observed mortality rate (OMR) and expected mortality rates (EMR) was collected from 2014-2016 in NY and 2015-2016 in CA. Surgeons’ number of years-in-practice was determined by searching for each surgeon’s training history on online registries. Loess and linear regression models were then used to characterize the relationship between surgeon EMR and surgeon years-in-practice. Results: The median number of surgeon years-in-practice was 20 (interquartile range [IQR] 11-28) with median case volume 103 (IQR 42,171). The median surgeon observed to expected mortality (O:E) ratio was 0.87 (IQR 0.19-1.4). Linear regression relating EMR to years in practice showed that EMR was similar across years in practice. Linear regression relating surgeon isolated CABG O:E ratio to years in practice also showed similar outcomes across years in practice. Conclusion: There is a relatively equal distribution of high and low risk CABG cases among surgeons of differing experience levels. This equal distribution of high and low risk cases does not reflect a triaging of more complex cases to more experienced cardiac surgeons, which prior research shows may optimize patient outcomes.

Sameh Yousef

and 7 more