Urinary microbiome differences between lichen sclerosus induced and non-lichen sclerosus induced urethral stricture disease.

OBJECTIVE: To describe differences in the urinary microbiome of patients with pathologically confirmed lichen sclerosus (LS) urethral stricture disease (USD) vs non-lichen sclerosus (non-LS) USD pre- and post-operatively. METHODS: Patients were pre-operatively identified and prospectively followed, all underwent surgical repair and had tissue samples obtained to make a pathological diagnosis of LS. Pre- and post-operative urine samples were collected. Bacterial genomic DNA was extracted. Alpha and beta diversity measurements were calculated and compared. A zero-inflated negative binomial model was utilized to compare taxa abundances between disease status and surgery status. RESULTS: Urine samples were obtained from both cohorts, 69 samples in total: 36 samples were obtained pre-operatively and 33 samples were obtained post-operatively. Ten patients provided both a pre-operative and post-operative urine sample. Twenty-six patients had pathological evidence of LS and 33 patients did not. There was a statistically significant difference in alpha diversity between the pre-operative urine samples of patients with non-LS USD and LS USD, (p = 0.01). There was no significant difference in alpha diversity within post-operative urine samples between patients with non-LS USD and LS USD, (p = 0.1). A significant difference was observed in Weighed UniFrac distances with respect to disease and operative status, (p = 0.001 and 0.002). CONCLUSIONS: LS USD have significant alterations in diversity and differential abundance of urine microbiota compared to non-LS USD controls. These findings could be used to guide further investigations into the role of the urinary microbiome in LS USD pathogenesis, severity of presentation, and stricture recurrence.

Environmental Impact of Prostate Magnetic Resonance Imaging and Transrectal Ultrasound Guided Prostate Biopsy.

BACKGROUND: Reducing low-value clinical care is an important strategy to mitigate environmental pollution caused by health care. OBJECTIVE: To estimate the environmental impacts associated with prostate magnetic resonance imaging (MRI) and prostate biopsy. DESIGN, SETTING, AND PARTICIPANTS: We performed a cradle-to-grave life cycle assessment of prostate biopsy. Data included materials and energy inventory, patient and staff travel contributed by prostate MRI, transrectal ultrasound guided prostate biopsy, and pathology analysis. We compared environmental emissions across five clinical scenarios: multiparametric MRI (mpMRI) of the prostate with targeted and systematic biopsies (baseline), mpMRI with targeted biopsy cores only, systematic biopsy without MRI, mpMRI with systematic biopsy, and biparametric MRI (bpMRI) with targeted and systematic biopsies. We estimated the environmental impacts associated with reducing the overall number and varying the approach of a prostate biopsy by using MRI as a triage strategy or by omitting MRI. The study involved academic medical centers in the USA, outpatient urology clinics, health care facilities, medical staff, and patients. OUTCOME MEASUREMENTS AND STATISTICAL ANALYSIS: Greenhouse gas emissions (CO2 equivalents, CO2e), and equivalents of coal and gasoline burned were measured. RESULTS AND LIMITATIONS: In the USA, a single transrectal prostate biopsy procedure including prostate MRI, and targeted and systematic biopsies emits an estimated 80.7 kg CO2e. An approach of MRI targeted cores alone without a systematic biopsy generated 76.2 kg CO2e, a systematic 12-core biopsy without mpMRI generated 36.2 kg CO2e, and bpMRI with targeted and systematic biopsies generated 70.5 kg CO2e; mpMRI alone contributed 42.7 kg CO2e (54.3% of baseline scenario). Energy was the largest contributor, with an estimated 38.1 kg CO2e, followed by staff travel (20.7 kg CO2e) and supply production (11.4 kg CO2e). Performing 100 000 fewer unnecessary biopsies would avoid 8.1 million kg CO2e, the equivalent of 4.1 million liters of gasoline consumed. Per 100 000 patients, the use of prostate MRI to triage prostate biopsy and guide targeted biopsy cores would save the equivalent of 1.4 million kg of CO2 emissions, the equivalent of 700 000 l of gasoline consumed. This analysis was limited to prostate MRI and biopsy, and does not account for downstream clinical management. CONCLUSIONS: A prostate biopsy contributes a calculable environmental footprint. Modifying or reducing the number of biopsies performed through existing evidence-based approaches would decrease health care pollution from the procedure. PATIENT SUMMARY: We estimated that prostate magnetic resonance imaging (MRI) with a prostate biopsy procedure emits the equivalent of 80.7 kg of carbon dioxide. Performing fewer unnecessary prostate biopsies or using prostate MRI as a tool to decide which patients should have a prostate biopsy would reduce procedural greenhouse gas emissions and health care pollution.

Access to male fertility preservation information and referrals at National Cancer Institute Cancer Centers.

Cancer treatment can lead to infertility, which is a significant source of financial and emotional distress for cancer patients and survivors. Given that future fertility and sexual function are critical quality of life issues, we hypothesise that access to subspecialist care is not uniformly distributed. Therefore, we sought to identify access gaps in male sexual health and infertility care at NCI cancer centres across US Census Regions. All 64 clinical NCI cancer centre websites were examined for language related to male sexual health and fertility. A phone-based survey was used to establish cancer centre referral patterns to andrologists and sperm banks. We utilised the Society for the Study of Male Reproduction member directory to determine geographic locations for andrologists relative to each centre. We found that the presence of information regarding male sexual health information was not associated with region. The presence of andrologists within 5-miles of a CC was significantly higher in the Northeast compared to all other census regions. Our work describes the access gap in fertility services at NCI cancer centres and how this differs by region of the country. These data can inform patients, and encourage centres to provide improved access to oncofertility care.

Association Between Twitter Reception at a National Urology Conference and Future Publication Status.

BACKGROUND: Social media is an increasingly popular means to disseminate medical research. However, it is unknown whether the extent to which content is shared mirrors conventional measures of scientific merit or impact. OBJECTIVE: To examine whether Twitter activity (as measured by the number of "likes" and "retweets" [RTs]) relating to original research presented at a national urology meeting was associated with subsequent publication status and journal impact factor (IF). DESIGN, SETTING, AND PARTICIPANTS: We retrospectively reviewed Twitter data obtained through the Keyhole archiving platform using the hashtag "#aua15" from May 1 through June 1, 2015 reflecting the hashtag of the American Urological Association (AUA) meeting. OUTCOME MEASUREMENTS AND STATISTICAL ANALYSIS: We analyzed all posts containing keywords related to research studies. Among posts reporting on newly presented studies with discernable attribution, we evaluated subsequent publication status within 45 mo, including journal IF. We compared social media reception (number of likes/RTs) by publication status, and assessed the relationship between social media reception and subsequent journal IF using Pearson's correlation. RESULTS AND LIMITATIONS: A total of 15 303 posts were associated with #aua15 between May 1 and June 1, 2015, which reached 2 263 438 users. The median number of likes/RTs was 2 (interquartile range 1-3). We analyzed all posts receiving at least one like/RT (n = 2964) for text content related to research and identified 496 associated with new scientific studies presented at the meeting. Forty-five months following the AUA meeting, 96 studies were identifiable on PubMed (19.4%). Research with more likes/RTs at the AUA meeting were more likely to be subsequently published (p = 0.001). Among published studies, there was a modest, positive correlation between the number of likes/RTs and publication journal IF (r2 = 0.36). CONCLUSIONS: Measures of social media engagement with data presented at a national medical meeting were positively correlated with subsequent publication and journal IF after presentation. PATIENT SUMMARY: New urological research that was shared more often at a national meeting was more likely to be published in journals that are more highly cited.

Robot-Assisted Excision of Congenital Mega-Seminal Vesicle Associated with Zinner's Syndrome.

Background: Abnormalities of mesonephric ducts are rare congenital conditions, which can present with vague symptoms in otherwise healthy men. Zinner's syndrome is the association of an enlarged seminal vesicle cyst with ipsilateral renal agenesis, which can be symptomatic and require operative interventions. Case: We present the case of an otherwise healthy 24-year-old man who presented with a symptomatic 15 cm seminal vesicle cyst, which was completely excised using a robot-assisted approach. Conclusion: Use of robotic surgery for excision of large seminal vesicle cysts is a safe and effective operative procedure.

Determinants of Active Surveillance in Patients With Small Renal Masses.

OBJECTIVE: To evaluate trends in the utilization of active surveillance (AS) in a nationally representative cancer database. AS has been increasingly recognized as an effective strategy for patients with small renal masses but little is known about national usage patterns. METHODS: We identified patients with clinical T1a renal masses within the National Cancer Database in 2010 through 2014. Patients were classified according to initial management strategy received including AS, surgery, ablation, or other treatment. We characterized time trends in the use of AS vs definitive therapy and examined clinical and socio-demographic determinants of AS among patients with small renal masses using multivariable logistic regression models. RESULTS: We identified 59,189 patients who satisfied the inclusion criteria. Of the total cohort, 1733 (2.9%) individuals received initial management with AS, while 57,456 (97.1%) received definitive treatment. Surveillance rates remained below 5% in all years. On multivariate analysis, patient age (OR: 1.08, 95% CI 1.08-1.09), smaller tumor size of <2 cm vs ≥2 cm (OR: 2.43, 95% CI: 2.20-2.7, P < .0001), management at an academic center vs community center (OR: 2.05, 95% CI: 1.83-2.29), and African American vs Caucasian race (OR: 1.56, 95% CI:1.35-1.80) were independently associated with use of AS as initial management. CONCLUSION: In a representative national cohort of patients with small renal masses, we observed clinical and facility-level differences in the utilization of active surveillance in patients with T1a renal masses. Further investigation is warranted to better understand the forces underlying initial management decisions for patients with small renal masses.