Geographic distribution of racial differences in mortality in muscle-invasive bladder cancer patients: an opportunity for improvement.

OBJECTIVES: To determine the geographic distribution of muscle-invasive bladder cancer mortality according to race in the United States (US). African Americans (AAs) have up to two times the risk of bladder cancer mortality compared to Caucasians. Bladder cancer mortality increases exponentially once it invades the muscle. Geographic heterogeneity in bladder cancer mortality according to race remains to be determined. DESIGN: Analysis of Surveillance, Epidemiology, and End Results (SEER)-Medicare data for 6,044 patients aged 66-85 diagnosed with clinical stage T2-T4 N0M0 bladder cancer from 1 January 2002 to 31 December 2011. Fine and Gray-competing risks regression models were used to assess the association of race with bladder cancer-specific mortality (BCSM) according to tumor registry. RESULTS: Out of 6,044 patients, 5,408 (89.5%) were Caucasian, 352 (5.82%) were non-Hispanic AA, 85 (1.4%) were Hispanic, and 199 (3.29%) were other. Of the 18 registries, AAs with bladder cancer were largely concentrated in Louisiana (19%), New Jersey (17.9%), and Georgia (17.6%). New Jersey was the only registry where AAs had increased risk of BCSM than Caucasians and only for stage T2 disease: (AHR, 1.74; 95% CI 1.22-2.47, p = 0.002). According to treatment, AAs in New Jersey had worse BCSM than Caucasians when they underwent radical cystectomy (AHR, 2.05; 95% CI 1.26-3.35, p = 0.0039) and radiotherapy or chemotherapy alone (AHR, 1.55; 95% CI 1.03-2.35, p = 0.0367). CONCLUSIONS: We observed geographic variation in bladder cancer mortality which impacted only one registry with one of the largest population of AAs. These findings support further investigation into the social determinants of race (i.e., socioeconomic status and distance to healthcare facility) and culturally centered healthcare decision making which may drive these results.

Association of Cardiovascular Medications With Adverse Outcomes in a Matched Analysis of a National Cohort of Patients With COVID-19.

Background: The use of statins, angiotensin-converting enzyme inhibitors (ACEIs)/angiotensin II receptor blockers (ARBs), and anticoagulants may be associated with fewer adverse outcomes in COVID-19 patients. Methods: Nested within a cohort of 800,913 patients diagnosed with COVID-19 between April 1, 2020 and June 24, 2021 from the Optum COVID-19 database, three case-control studies were conducted. Cases-defined as persons who: (1) were hospitalized within 30 days of COVID-19 diagnosis (n = 88,405); (2) were admitted to the intensive care unit (ICU)/received mechanical ventilation during COVID-19 hospitalization (n = 22,147); and (3) died during COVID-19 hospitalization (n = 2300)-were matched 1:1 using demographic/clinical factors with controls randomly selected from a pool of patients who did not experience the case definition/event. Medication use was based on prescription ≤90 days before COVID-19 diagnosis. Results: Statin use was associated with decreased risk of hospitalization (adjusted odds ratio [aOR], 0.72; 95% confidence interval [95% CI], 0.69, 0.75) and ICU admission/mechanical ventilation (aOR, 0.90; 95% CI, 0.84, 0.97). ACEI/ARB use was associated with decreased risk of hospitalization (aOR, 0.67; 95% CI, 0.65, 0.70), ICU admission/mechanical ventilation (aOR, 0.92; 95% CI, 0.86, 0.99), and death (aOR, 0.60; 95% CI, 0.47, 0.78). Anticoagulant use was associated with decreased risk of hospitalization (aOR, 0.94; 95% CI, 0.89, 0.99) and death (aOR, 0.56; 95% CI, 0.41, 0.77). Interaction effects-in the model predicting hospitalization-were statistically significant for statins and ACEI/ARBs (P < .0001), statins and anticoagulants (P = .003), ACEI/ARBs and anticoagulants (P < .0001). An interaction effect-in the model predicting ventilator use/ICU-was statistically significant for statins and ACEI/ARBs (P = .002). Conclusions: Statins, ACEI/ARBs, and anticoagulants were associated with decreased risks of the adverse outcomes under study. These findings may provide clinically relevant information regarding potential treatment for patients with COVID-19.