A prospective study on single‐port versus multiport patient‐reported surgical outcomes

Abstract Introduction We sought to determine potential patient reported advantages of the da Vinci single‐port (SP) robotic system for urological procedures compared with the previous model, the da Vinci multiport (MP) system. The SP model utilizes a single 30 to 40 mm incision rather than multiple 5 to 22 mm incisions. This project aims to prospectively investigate the impact of the novel SP system on patient reported cosmetic and psychometric surgical outcomes. Methods We conducted a prospective study of patients who underwent uro‐oncologic surgery by three urologists at the University of Illinois Chicago from April to November 2021. Study participants completed a Patient Scar Assessment Questionnaire 20 and 90 days post‐procedure. The Patient Scar Assessment Questionnaire is a reliable measure of surgical scars that includes five subscales: Appearance, Symptoms, Consciousness, Satisfaction with Appearance, and Satisfaction with Symptoms. Higher scores represented worse reported outcomes. Results On Postoperative Day 20, there were 77 responses (53 SP and 24 MP). Patients receiving SP procedures reported more favourable outcomes in terms of appearance, symptoms, consciousness, and pain medication. On Day 90, there were 37 responses (24 SP and 13 MP). Patients receiving SP procedures reported more favourable outcomes in terms of appearance. No significant differences were seen on Day 90 in terms of pain, medication, symptoms, consciousness, or satisfaction. Conclusions This study demonstrates the superiority of the SP in patient reported cosmetic and pain outcomes on short‐ and long‐term follow‐up after uro‐oncological surgical procedures. Symptomatic and cosmetic advantages are present at the 20 day follow‐up, with better scar appearance being significant 90 days after surgery

Algorithms for Predicting the Probability of Azoospermia from Follicle Stimulating Hormone: Design and Multi-Institutional External Validation

Purpose: To predict the probability of azoospermia without a semen analysis in men presenting with infertility by developing an azoospermia prediction model. Materials and Methods: Two predictive algorithms were generated, one with follicle stimulating hormone (FSH) as the only input and another logistic regression (LR) model with additional clinical inputs of age, luteinizing hormone, total testosterone, and bilateral testis volume. Men presenting between 01/2016 and 03/2020 with semen analyses, testicular ochiodemetry, and serum gonadotropin measurements collected within 120 days were included. An azoospermia prediction model was developed with multi-institutional two-fold external validation from tertiary urologic infertility clinics in Chicago, Miami, and Milan. Results: Total 3,497 participants were included (n=Miami 946, Milan 1,955, Chicago 596). Incidence of azoospermia in Miami, Milan, and Chicago was 13.8%, 23.8%, and 32.0%, respectively. Predictive algorithms were generated with Miami data. On Milan external validation, the LR and quadratic FSH models both demonstrated good discrimination with areas under the receiver-operating-characteristic (ROC) curve (AUC) of 0.79 and 0.78, respectively. Data from Chicago performed with AUCs of 0.71 for the FSH only model and 0.72 for LR. Correlation between the quadratic FSH model and LR model was 0.95 with Milan and 0.92 with Chicago data. Conclusions: We present and validate algorithms to predict the probability of azoospermia. The ability to predict the probability of azoospermia without a semen analysis is useful when there are logistical hurdles in obtaining a semen analysis or for reevaluation prior to surgical sperm extraction

Factors contributing to healthcare professional burnout during the COVID-19 pandemic: A rapid turnaround global survey.

BackgroundHealthcare professionals (HCPs) on the front lines against COVID-19 may face increased workload and stress. Understanding HCPs' risk for burnout is critical to supporting HCPs and maintaining the quality of healthcare during the pandemic.MethodsTo assess exposure, perceptions, workload, and possible burnout of HCPs during the COVID-19 pandemic we conducted a cross-sectional survey. The main outcomes and measures were HCPs' self-assessment of burnout, indicated by a single item measure of emotional exhaustion, and other experiences and attitudes associated with working during the COVID-19 pandemic.FindingsA total of 2,707 HCPs from 60 countries participated in this study. Fifty-one percent of HCPs reported burnout. Burnout was associated with work impacting household activities (RR = 1·57, 95% CI = 1·39-1·78, PInterpretationBurnout is present at higher than previously reported rates among HCPs working during the COVID-19 pandemic and is related to high workload, job stress, and time pressure, and limited organizational support. Current and future burnout among HCPs could be mitigated by actions from healthcare institutions and other governmental and non-governmental stakeholders aimed at potentially modifiable factors, including providing additional training, organizational support, and support for family, PPE, and mental health resources