Perspectives on technology: Single-use catheters - evidence and environmental impact.

OBJECTIVE: To explore the data comparing single- vs multi-use catheters for clean intermittent catheterisation (CIC), consider if the widespread use of single-use catheters is warranted given the cost and environmental impact, and put forth ideas for future consideration. METHODS: A primary literature review was performed in PubMed over the past 50 years. Studies that performed comparative analysis of single- and multi-use catheters were included in our review. All studies that reported on primary data were narratively summarised. RESULTS: A total of 11 studies were identified that reported on primary data comparing single- and multi-use catheters. There was no appreciable evidence suggesting reusable multi-use catheters were inferior to single-use catheters from an infection or usability standpoint. In addition, the environmental and monetary burden of single-use catheters is significant. CONCLUSIONS: The intermittent catheter landscape in the USA has a complex past: defined by policy, shaped by industry, yet characterised by a paucity of data demonstrating superiority of single-use over multi-use catheters. We believe that the aversion to reusable catheters by many patients and healthcare professionals is unwarranted, especially given the cost and environmental impact. Moving forward, better comparative data and more sustainable practices are needed.

Systematic Review and Meta-Analysis of Free-Hand and Fixed-Arm Spatial Tracking Methodologies in Software-Guided MRI-TRUS Fusion Prostate Biopsy Platforms.

OBJECTIVE: To evaluate the cancer detection rate (CDR) between the 2 dominant spatial tracking methodologies in software-guided MRI-transrectal ultrasound fusion prostate biopsy (SGF-Bx) platforms: fixed-arm and free-hand. METHODS: We conducted a systematic review and meta-analysis on published primary analyses of prospective trials and cohort studies that enrolled biopsy-naïve patients for SFG-Bx. Inclusion criteria included the use of the Prostate Imaging Reporting & Data System (PI-RADS) v2.0 or later and the targeting of lesions graded as PI-RADS 3 or higher. Random effects models were used to assess the overall prostate cancer (PCa) CDR and the clinically significant prostate cancer (csPCa) CDR for both platforms. csPCa was standardized to a definition of Gleason Grade Group 2 or higher when possible. Subgroup analysis was performed by stratifying studies into the average number of cores taken per lesion. RESULTS: The PCa CDR was 0.674 for free-hand systems and 0.681 for fixed-arm systems. The csPCa CDR was 0.492 for free-hand systems and 0.500 for fixed-hand systems. There was no significant difference between free-hand and fixed-arm cancer detection rates for both overall PCa (P = .88) and csPCa (P = .90). Subgroup analyses revealed significant PCa CDR and csPCa CDR differences (P < .001) between free-hand and fixed-arm platforms only when 2 cores per lesion were taken, in favor of fixed-arm platforms. CONCLUSIONS: Fixed-arm platforms performed similarly in cancer detection to free-hand platforms but show a minor benefit on fewer samples. While tracking methodology differences appear subtle, further investigation into the clinical impact of platform-specific features are warranted.

Machine learning decision support model for radical cystectomy discharge planning.

PURPOSE: Timely and appropriate discharge placement for patients who have undergone radical cystectomy (RC) remains challenging. Our objective was to improve the discharge planning process by creating a machine learning model that helps to predict the need for non-home hospital discharge to a higher level of care. MATERIALS AND METHODS: Patients undergoing elective radical cystectomy for bladder cancer from 2014-2019 were identified in the ACS-NSQIP database. A gradient boosted decision tree was trained on selected predischarge variables to predict discharge location, dichotomized into home and non-home. We used threshold-moving to calibrate model predictions and evaluated model performance on a testing set using receiver operating characteristic and precision recall curves. Model performance was further examined in subgroups of interest. RESULTS AND CONCLUSIONS: A total of 11,881 patients met inclusion criteria with a mean age of 68.6 years. 10.6% of patients undergoing RC had non-home discharges. Our model predicting non-home discharge achieved an area under the receiver operating characteristic curve of 0.80 and an average precision of 0.33. After threshold-moving, our model had a recall of 0.757 and a precision of 0.211. Top variables by importance were septic shock occurrence, ventilator-use greater than 48 hours, organ space surgical site infection and unplanned intubation. Our model shows strong performance in identifying patients who required non-home discharge to higher levels of care, outperforming commonly used clinical indices and prior work. Modern machine learning techniques may be applied to support more timely and appropriate clinical decision making.

The emerging role of robotics in upper and lower urinary tract reconstruction.

PURPOSE OF REVIEW: Developments in robotic reconstructive urology have introduced novel treatments for complex upper and lower urinary tract disease. Short-term and mid-term data demonstrates excellent outcomes and minimal morbidity, suggesting the advanced instrumentation and visualization of robotics represent a new treatment paradigm in patients that are historically difficult to treat. Here we review recent developments in the robotically assisted surgical management of urethral and ureteral strictures. RECENT FINDINGS: The minimally invasive approach, enhanced precision and reach, and near-infrared fluorescence imaging capabilities of robotic platforms have proven to be valuable additions in reconstructive urology where perfusion is often compromised, or anatomy is distorted. These benefits are leveraged heavily in recent descriptions of robotic-assisted posterior urethroplasty and ureteroplasty. Short-term to mid-term follow-up data for these procedures show excellent patency rates with low morbidity and complication rates when compared with open approaches. Long-term data for these procedures are not yet available. SUMMARY: The role of robotics in reconstructive urology is being actively investigated. Initial findings demonstrate excellent results with low morbidity in the treatment of upper and lower urinary tract disease. Long-term data will ultimately determine the role of robotics in the reconstructive armamentarium.