24 research outputs found

    Elevated Body Mass Index Is Associated with Secondary Hypogonadism among Men Presenting to a Tertiary Academic Medical Center

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    Purpose: To characterize the population of hypogonadal men who presented to a tertiary academic urology clinic and evalu-ate risk factors for primary vs. secondary hypogonadism. Materials and Methods: We evaluated all men with International Classification of Diseases-9 diagnosis codes R68.82 and 799.81 for low libido, 257.2 for testicular hypofunction, and E29.1 for other testicular hypofunction at a tertiary academic medical center from 2013 to 2017. We included men who had testosterone (T) and luteinizing hormone (LH) drawn on the same day. We classified men based on T and LH levels into eugonadal, primary, secondary, and compensated hypogonad-ism. Risk factors including age, body mass index (BMI) over 30 kg/m2, current smoking status, alcohol use greater than 5 days per week, and Charlson comorbidity index greater than or equal to 1 were investigated and measured in each group using the eugonadal group for reference. Results: Among the 231 men who had both T and LH levels, 7.4%, 42.4%, and 7.4% were classified as primary, secondary, and compensated hypogonadism, respectively. Only elevated BMI was associated with secondary hypogonadism compared to eugonadal men (median BMI, 30.93 kg/m2 vs. 27.69 kg/m2, p=0.003). BMI, age, comorbidities, smoking, or alcohol use did not appear to predict diagnosis of secondary hypogonadism. Conclusions: Secondary hypogonadism appears to be the most common cause of hypogonadism among men complaining of low T and decreased libido at a tertiary academic medical center. Secondary hypogonadism is associated with elevated BMI and therefore obesity should be used as a marker to evaluate men for both T and LH levels

    Kidney Autotransplantation: Between the Past and the Future

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    Purpose of Review The practice of kidney autotransplantation (KAT) has become an increasingly favorable approach in the treatment of certain renovascular, ureteral, and malignant pathologies. Current KAT literature describes conventional open procedures, which are associated with substantial risks. We sought to compare previously reported outcomes, evaluate common surgical indications, and assess associated risks and benefits of current KAT methods. A thorough evaluation and review of the literature was performed with the keywords “autologous transplantation” and “kidney.” Recent Findings Early outcomes of robotic KAT are encouraging and have been associated with fewer complications and shorter hospital stay, but require robotic technique proficiency. Summary KAT is an important method to manage selected complex urological pathologies. Robotic KAT is promising. Nevertheless, future studies should utilize larger patient cohorts to better assess the risks and benefits of KAT and to further validate this approach

    Re-examining Prostate-specific Antigen (PSA) Density: Defining the Optimal PSA Range and Patients for Using PSA Density to Predict Prostate Cancer Using Extended Template Biopsy

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    To compare the predictive accuracy of prostate-specific antigen (PSA) density vs PSA across different PSA ranges and by prior biopsy status in a prospective cohort undergoing prostate biopsy. Men from a prospective trial underwent an extended template biopsy to evaluate for prostate cancer at 26 sites throughout the United States. The area under the receiver operating curve assessed the predictive accuracy of PSA density vs PSA across 3 PSA ranges (10 ng/mL). We also investigated the effect of varying the PSA density cutoffs on the detection of cancer and assessed the performance of PSA density vs PSA in men with or without a prior negative biopsy. Among 1290 patients, 585 (45%) and 284 (22%) men had prostate cancer and significant prostate cancer, respectively. PSA density performed better than PSA in detecting any prostate cancer within a PSA of 4-10 ng/mL (area under the receiver operating characteristic curve [AUC]: 0.70 vs 0.53, P 10 mg/mL (AUC: 0.84 vs 0.65, P < .0001). PSA density was significantly more predictive than PSA in detecting any prostate cancer in men without (AUC: 0.73 vs 0.67, P < .0001) and with (AUC: 0.69 vs 0.55, P < .0001) a previous biopsy; however, the incremental difference in AUC was higher among men with a previous negative biopsy. Similar inferences were seen for significant cancer across all analyses. As PSA increases, PSA density becomes a better marker for predicting prostate cancer compared with PSA alone. Additionally, PSA density performed better than PSA in men with a prior negative biopsy
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