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.

Michael Shang

and 5 more

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.

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.

Cornell Brooks

and 7 more

Background: We analyzed center-level outcome correlations between valve surgery and coronary artery bypass graft (CABG) in New York (NY) State and how volume-outcome effect differ between case types. Methods: We used the 2014-2016 NY cardiac surgery outcomes report. Center-level observedto-expected (O/E) ratio for operative mortality provided risk-adjusted operative outcomes for isolated CABG and valve operations. Correlation coefficient characterized the concordance in center-level outcomes in CABG and valve. Discordant outcomes were defined as having O/E ratio >2 in one operation type with O/E ratio ≤1 in another. Linearized slope of volume-outcome effect in case types offered insights into centers with discordant performances between procedures. Results: Among 37 NY centers, annual center volumes were 220±120 cases for CABG and 190±178 cases for valve operations. Modest center-level correlation between CABG and valve O/E ratio was shown (R2 = 0.31). Two centers had discordant performance between valve and CABG (O/E ≤1 for CABG while O/E > 2 for valve procedures). No centers had CABG O/E ratio > 2 while valve O/E ratio ≤1. Linearized slope describing volume-outcome effects showed stronger effect in valve operations compared to CABG: O/E ratio declined 0.1 units per 100 CABG volume increase, while O/E ratio declined 0.33 units per 100 valve volume increase. Conclusions: In NY hospitals, favorable valve outcomes may indicate good CABG outcomes but good CABG outcomes may not ensure valve outcomes. Outcome variation in valve operation could be related to stronger volume-outcome effect in valve operations relative to CABG. Valve operations may benefit from regionalization.