Search

To determine if clustering methods can use a holistic assessment of health-related quality-of-life after bladder cancer diagnosis to predict survival outcomes independent of clinical characteristics. In the United States, an estimated 81,180 cases of bladder cancer will be diagnosed in 2022. We aim to help address the knowledge gap concerning the impact of patient functional status on outcomes. This is a cross-sectional, retrospective cohort study of patients in the End Results-Medicare Health Outcomes Survey Registry. Age and 36-Item Short Form Survey (SF-36) responses were used as K-means inputs to identify homogenous clusters of older patients with bladder cancer. We analyzed the association between the identified clusters, patient and disease characteristics, and outcomes. We used Cox proportional hazard regression to compare overall survival. We identified 5 homogenous clusters that exhibited differences in patient characteristics and survival. There was no significant difference in cancer stage or surgery type among the clusters. The Cox proportional hazard regression demonstrated significant associations of cluster with gender, age, education, marital status, smoking status, type of surgery, and cancer stage on overall survival. Cluster independently predicted overall survival. Using unsupervised machine learning, we identified clusters of patients with bladder cancer who had similar mental and physical function scores. Cluster grouping suggests that patients' mental and physical function may not be based on disease or treatment. There are significant survival differences between all clusters, demonstrating that a holistic assessment of patient-reported health-related quality-of-life has the potential to predict survival and possible modifiable risk factors in older patients with bladder cancer. [ABSTRACT FROM AUTHOR]

Objective: To evaluate optimal regimens for perioperative antimicrobial prophylaxis in transurethral procedures by examining antimicrobial susceptibility patterns in the United States.Materials and Methods: Through several methods, we attempted to attain an antibiogram for each state. We focused on microbes known to cause infections after transurethral surgeries and antibiotics referred to in current or prior recommendations and compared susceptibility rates across states using Kruskal Walis tests and the Dwass, Steel, Critchlow-Fligner tests. We also examined susceptibility to (non-ceftazidime) third generation cephalosporins.Results: Data is included from 40 states. For each microbe studied, there was significant variability in sensitivity to antibiotics studied. Current first line recommendations for antimicrobial prophylaxis include first generation cephalosporins with 82%, 80%, and 87% mean coverage for E coli, Proteus, and Klebsiella respectively and trimethoprim-sulfamethoxazole with 74%, 80%, and 93% coverage, respectively. Susceptibility to aminoglycosides is 91%, 92%, and 96%, respectively and to third generation cephalosporin, it is 92%, 99%, and 94%.Conclusion: Current first line recommended antimicrobials for prophylaxis in transurethral procedures provide overall poor predicted coverage based on our database of antibiograms. Alternatives exist that have higher predicted susceptibility, though clinical significance of this and risk of resultant antimicrobial resistance is unknown. Urologists should consider local patterns when selecting antimicrobial prophylaxis for their patients. [ABSTRACT FROM AUTHOR]

Purpose: Coronavirus disease (COVID-19) has profoundly impacted residency training and education. To date, there has not been any broad assessment of urological surgery residency changes and concerns during the COVID-19 pandemic., Materials and Methods: The Society of Academic Urologists distributed a questionnaire to urology residency program directors on March 30, 2020 exploring residency program changes related to the COVID-19 pandemic. Descriptive statistics are presented. A qualitative analysis of free response questions was undertaken. A post hoc analysis of differences related to local COVID-19 incidence is described., Results: The survey was distributed to 144 residency programs with 65 responses for a 45% response rate. Reserve staffing had started in 80% of programs. Patient contact time had decreased significantly from 4.7 to 2.1 days per week (p <0.001). Redeployment was reported by 26% of programs. Sixty percent of programs reported concern that residents will not meet case minimums due to COVID-19. Wellness activities centered on increased communication. All programs had begun to use videoconferencing and the majority planned to continue. Programs in states with a higher incidence of COVID-19 were more likely to report resident redeployment (48% vs 11%, p=0.002) and exposure to COVID-19 positive patients (70% vs 40%, p=0.03), and were less likely to report concerns regarding exposure (78% vs 97%, p=0.02) and personal protective equipment availability (62% vs 89%, p=0.02)., Conclusions: As of April 1, 2020 the COVID-19 pandemic had resulted in significant changes in urology residency programs. These findings inform a rapidly changing landscape and aid in the development of best practices.