15 research outputs found

    The microbiome and prostate cancer

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    A case of unprovoked segmental proximal partial thrombosis of the corpus cavernosum

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    Partial thrombosis of the corpus cavernosum is an extremely rare and likely underdiagnosed urologic condition. We discuss a case of a 25-year-old male who presented with severe perineal pain and was diagnosed with idiopathic proximal partial thrombosis of the corpus cavernosum via ultrasound and MRI. The patient experienced symptom resolution with evidence of disease regression on follow up MRI after treatment with direct oral anticoagulation. Further studies are needed to fully delineate the pathophysiology of this condition to facilitate development of standardized diagnostic and treatment algorithms

    The microbiome and prostate cancer

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    There is growing evidence that the microbiome is involved in development and treatment of many human diseases, including prostate cancer. There are several potential pathways for microbiome-based mechanisms for the development of prostate cancer: direct impacts of microbes or microbial products in the prostate or the urine, and indirect impacts from microbes or microbial products in the gastrointestinal tract. Unique microbial signatures have been identified within the stool, oral cavity, tissue, urine, and blood of prostate cancer patients, but studies vary in their findings. Recent studies describe potential diagnostic and therapeutic applications of the microbiome, but further clinical investigation is needed. In this review, we explore the existing literature on the discovery of the human microbiome and its relationship to prostate cancer

    Disparities in Telemedicine Utilization for Urology Patients During the COVID-19 Pandemic.

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    ObjectiveTo determine the odds of accessing telemedicine either by phone or by video during the COVID-19 pandemic.MethodsWe performed a retrospective study of patients who were seen at a single academic institution for a urologic condition between March 15, 2020 and September 30, 2020. The primary outcome was to determine characteristics associated with participating in a telemedicine appointment (video or telephone) using logistic regression multivariable analysis. We used a backward model selection and variables that were least significant were removed. We adjusted for reason for visit, patient characteristics such as age, sex, ethnicity, race, reason for visit, preferred language, and insurance. Variables that were not significant that were removed from our final model included median income estimated by zip code, clinic location, provider age, provider sex, and provider training.ResultsWe reviewed 4234 visits: 1567 (37%) were telemedicine in the form of video 1402 (33.1%) or telephone 164 (3.8%). The cohort consisted of 2516 patients, Non-Hispanic White (n = 1789, 71.1%) and Hispanic (n = 417, 16.6%). We performed multivariable logistic regression analysis and demonstrated that patients who were Hispanic, older, or had Medicaid insurance were significantly less likely to access telemedicine during the pandemic. We did not identify differences in telemedicine utilization when stratifying providers by their age, sex, or training type (physician or advanced practice provider).ConclusionWe conclude that there are differences in the use of telemedicine and that this difference may compound existing disparities in care. Additionally, we identified that these differences were not associated with provider attributes. Further study is needed to overcome barriers in access to telemedicine
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