Citations

Aim We sought to determine the racial and ethnical disparities in the delivery of TAVR and to evaluate the in-hospital outcomes and utilization of TAVR stratified by patient ethnicity. Method Using a national inpatient sample database between 2011 and 2015, we identified all adult patients who had TAVR. Races were identified and white race was set as control. Multiple logistic regression analysis was performed for the primary outcome of in-hospital mortality. Results Out of 58 174 patients who underwent TAVR, 50 809 (87.3%) were white, 2327 (4.0%) were black, 2311 (4.0%) were Hispanic, 640 (1.1%) Asian, 105 (0.2%) Native American and 1982 (3.4%) of other ethnicities. We found a statistically significant linear uptrend in the utilization of TAVR in patients of all races between the years 2011 and 2015. White, black, Hispanic and Native American patients had a downward linear trend for mortality during the studied years ( P ≤ 0.005 for all). Black patients had lower in-hospital mortality [2.8 vs. 3.6%, odds ratio (OR) = 0.62; 95% confidence interval (CI) 0.44, 0.81 P < 0.001] compared with white patients, whereas Hispanic patients and Native Americans had higher in-hospital mortality compared with white patients (4.5% OR 1.26; 95% CI 1.01, 1.56 P = 0.041), (9.5% OR 4.44; 95% CI 2.25, 8.77 P < 0.001), respectively. Conclusion Overall, TAVR utilization is associated with lower mortality. There is a rising trend in utilization of TAVR in the black population with a significantly favorable mortality trend compared with the white population.

Abstract Background The management of patients with severe but asymptomatic aortic stenosis (AS) is a challenge of daily practice. Evidence on early aortic valve replacement (AVR) versus symptom-driven approach is controversial. Methods Electronic databases were searched and articles comparing early-AVR with conservative management for severe asymptomatic AS were identified. The pooled unadjusted odds ratio (OR) was computed using a random-effects model. Results A total of 10 studies (observational=9, and randomized clinical trials=1) consisting of 5,291 patients were included. On a mean follow up duration of 4 years, the odds of early-AVR vs conservative management were in favour for early intervention in terms of cardiovascular mortality (OR 0.26, 95% CI 0.13–0.53, p=0.0002, figure-1) and all-cause mortality (OR 0.27, 95% CI: 0.17–0.41, p≤00001). The number needed to treat (NNT) by performing early AVR (either SAVR or TAVR) to prevent one death secondary to either cardiovascular or all-cause was 8 (95% CI: 6–10), and 5 (95% CI, 4.2–5.4) respectively. The odds of all-cause mortality in a selected patient population undergoing surgical AVR (SAVR) (OR 0.17, 95% CI 0.10–0.29, p≤0.00001) or transcatheter AVR (TAVR) (OR 0.45, 95% CI 0.31–0.64, p≤0.0001) were significantly lower compared to patients who were managed conservatively. A subgroup sensitivity analysis based on severe vs. very severe AS and early vs. symptom based AVR also mirrored the findings of overall results. Conclusions Patients with asymptomatic aortic valve stenosis have lower odds of all-cause and cardiovascular mortality when managed with early-AVR compared to conservative management. Figure 1 Funding Acknowledgement Type of funding source: None

Background The management of patients with severe but asymptomatic aortic stenosis is challenging. Evidence on early aortic valve replacement (AVR) versus symptom-driven intervention in these patients is unknown. Methods Electronic databases were searched, articles comparing early-AVR with conservative management for severe aortic stenosis were identified. Pooled adjusted odds ratio (OR) was computed using a random-effect model to determine all-cause and cardiovascular mortality. Results A total of eight studies consisting of 2201 patients were identified. Early-AVR was associated with lower all-cause mortality [OR 0.24, 95% confidence interval (CI) 0.13–0.45, P ≤ 0.00001] and cardiovascular mortality (OR 0.21, 95% CI 0.06–0.70, P = 0.01) compared with conservative management. The number needed to treat to prevent 1 all-cause and cardiovascular mortality was 4 and 9, respectively. The odds of all-cause mortality in a selected patient population undergoing surgical AVR (SAVR) (OR 0.16, 95% CI 0.09–0.29, P ≤ 0.00001) and SAVR or transcatheter AVR (TAVR) (OR 0.53, 95% CI 0.35–0.81, P = 0.003) were significantly lower compared with patients who are managed conservatively. A subgroup sensitivity analysis based on severe aortic stenosis (OR 0.24, 95% CI 0.11–0.52, P = 0.0004) versus very severe aortic stenosis (OR 0.20, 95% CI 0.08–0.51, P = 0.0008) also mirrored the findings of overall results. Conclusion Patients with asymptomatic aortic valve stenosis have lower odds of all-cause and cardiovascular mortality when managed with early-AVR compared with conservative management. However, because of significant heterogeneity in the classification of asymptomatic patients, large scale studies are required.

Background While there is a long history of measuring death and disability from injuries, modern research methods must account for the wide spectrum of disability that can occur in an injury, and must provide estimates with sufficient demographic, geographical and temporal detail to be useful for policy makers. The Global Burden of Disease (GBD) 2017 study used methods to provide highly detailed estimates of global injury burden that meet these criteria. Methods In this study, we report and discuss the methods used in GBD 2017 for injury morbidity and mortality burden estimation. In summary, these methods included estimating cause-specific mortality for every cause of injury, and then estimating incidence for every cause of injury. Non-fatal disability for each cause is then calculated based on the probabilities of suffering from different types of bodily injury experienced. Results GBD 2017 produced morbidity and mortality estimates for 38 causes of injury. Estimates were produced in terms of incidence, prevalence, years lived with disability, cause-specific mortality, years of life lost and disability-adjusted life-years for a 28-year period for 22 age groups, 195 countries and both sexes. Conclusions GBD 2017 demonstrated a complex and sophisticated series of analytical steps using the largest known database of morbidity and mortality data on injuries. GBD 2017 results should be used to help inform injury prevention policy making and resource allocation. We also identify important avenues for improving injury burden estimation in the future.