Does the Hospital Day of Surgery for Endovascular Repair of Symptomatic Abdominal Aortic Aneurysms Affect Outcomes?

OBJECTIVE: Symptomatic abdominal aortic aneurysms (sAAA) are considered surgically urgent. Recent data suggest delaying surgery allows for medical optimization without affecting outcomes. We investigated the association of the hospital day of surgery with 30 day outcomes. METHODS: Patients with infrarenal sAAA undergoing endovascular aortic repair (EVAR) between 2011 and 2018 in the American College of Surgeons National Surgery Quality Improvement Project database were included. The primary outcome was 30 day mortality. Additional outcomes included myocardial infarction, pulmonary complications, length of stay, and discharge disposition. Days-to-surgery were classified as the day of presentation (D0), day 1, day 2, days 3 and 4, days 5 to 7 (D5), and day 8 or more (D8). RESULTS: A total of 804 patients were identified. D8 patients had higher proportions of dyspnea on exertion, chronic obstructive pulmonary disease, congestive heart failure, and history of dialysis. D0 surgery appeared protective of mortality (odds ratio [OR] 0.34, p=0.0132). Each additional day increased the mortality risk (OR 1.23, p<0.001) although not within the first 4 days. There was increased mortality for patients having surgery at D5 (7.7%) and D8 (23.8%) compared with repair earlier (1%-4%, p=0.03). Bivariable analysis revealed no significant differences in secondary outcomes. Multivariable modeling revealed increased mortality for D8 versus D0 (adjusted OR of 6.8, 95% confidence interval 1.7-26.5). CONCLUSIONS: While D0 appears to have the lowest risk of mortality, EVAR for sAAA up to 4 days may not be associated with increased mortality. Further research should determine delay etiologies and whether they improve operative planning and optimization without impacting morbidity and mortality.

Socioeconomic Disparities in Gastric Cancer and Identification of a Single SES Variable for Predicting Risk.

INTRODUCTION: Socioeconomic status (SES) is a known risk factor for gastric cancer (GC). This study seeks to examine education, income, and occupation variables separately to identify the single variable that can be best used to assess SES risk for GC. METHODS: Data from a case-control survey study were used. Logistic regression models were created for education, income, and occupation adjusted for age, sex, and race. Models were compared using AIC, c-statistics, and pseudo-R square to determine the model that had the highest risk predictive ability. RESULTS: GC cases had lower education levels and more commonly held jobs in unskilled labor. Annual household income was lower in cases compared to controls. Age, gender, race, education, and occupation were associated with increased risk of GC. The education model adjusted for age, gender, and race found < high school (HS) education to have an OR of 3.18 (95% CI 1.09-9.25) for GC compared to > HS education. The occupation model demonstrated that employment in unskilled labor had OR of 4.32 (95% CI 1.05-17.76) for GC compared to professional occupation. Model fit was best for the education model (AIC: 113.583, lower AIC is better) compared to income (117.562) or occupation (117.032). Education contributed the most to model variability (% delta pseudo-R square (4.7%)) compared to occupation (4.0%) or income (3.8%). CONCLUSION: Education level was the single most reliable measure of GC risk among 3 SES variables and can be employed as an ideal single indicator of SES-related GC risk when multiple SES factors cannot be obtained.