Examining the Role for Donor-specific Antibody Testing in Simultaneous Liver-kidney Transplantation: A Single-center Analysis of Outcomes

BACKGROUND

Simultaneous liver-kidney transplantation (SLKT) is increasingly used for patients with concurrent end-stage liver and renal disease. Emerging evidence suggests that simultaneous liver transplant can provide a tolerogenic benefit to multiorgan transplant recipients. Posttransplant donor-specific antibody (DSA) may be associated with worse outcomes; however, the role for testing DSA in SLKT is unclear.

METHODS

This study retrospectively assessed the impact of DSA on outcomes following primary SLKT at a large-volume center between 2008 and 2018. Patients were grouped by positive DSA, negative DSA, and DSA not tested, and data were obtained from our institutional database and chart review.

RESULTS

The cohort included 138 SLKT recipients with a mean age of 56.1 ± 9.7 y; 61.6% were male, and 55.8% were Hispanic. Overall, 62 patients were tested for DSA posttransplant, and 33 patients (23.9%) had at least 1 DSA detected. A total of 34 patients (24.6%) experienced at least 1 episode of liver rejection, and 23 patients (16.7%) experienced kidney rejection. Over 50% of patients with de novo DSA changed status during their posttransplant course. Rates of both liver and kidney rejection were slightly higher in the DSA + group, but liver allograft, kidney allograft, and patient survival did not differ when grouped by whether DSA testing was performed or DSA positivity.

CONCLUSIONS

These data demonstrate that SLKT is associated with excellent long-term patient and allograft survival with a relatively low rate of rejection. In our experience, testing for DSA does not impact SLKT outcomes' and further multicenter analyses are needed to establish standard of care.

Contemporary strategies to assess and manage liver donor steatosis: a review

PURPOSE OF REVIEW

Due to a persistent shortage of donor livers, attention has turned toward ways of utilizing marginal grafts, particularly those with steatosis, without incurring inferior outcomes. Here we review the evaluation and utilization of steatotic liver allografts, highlight recently published data, and discuss novel methods of graft rehabilitation.

RECENT FINDINGS

Although severe liver allograft (>60%) steatosis has been associated with inferior graft and recipient outcomes, mild (<30%) steatosis has not. There is ongoing debate regarding safe utilization of grafts with moderate (30-60%) steatosis. Presently, no established protocols for evaluating steatosis in donor candidates or utilizing such grafts exist. Liver biopsy is accepted as the gold standard technique, though noninvasive methods have shown promise in accurately predicting steatosis. More recently, machine perfusion has been shown to enhance ex situ liver function and reduce steatosis, emerging as a potential means of optimizing steatotic grafts prior to transplantation.

SUMMARY

Steatotic liver allografts constitute a large proportion of deceased donor organs. Further work is necessary to define safe upper limits for the acceptable degree of steatosis, develop standardized evaluation protocols, and establish utilization guidelines that prioritize safety. Machine perfusion has shown promise in rehabilitating steatotic grafts and offers the possibility of expanding the deceased donor pool.

Effect of COVID-19 on Surgical Training Across the United States: A National Survey of General Surgery Residents

INTRODUCTION

COVID-19 emerged as a global pandemic in 2020 and has affected millions of lives. Surgical training has also been significantly affected by this pandemic, but the exact effect remains unknown. We sought to perform a national survey of general surgery residents in the United States to assess the effect of COVID-19 on surgical resident training, education, and burnout.

METHODS

An anonymous online survey was created and distributed to general surgery residents across the United States. The survey aimed to assess changes to surgical residents' clinical schedules, operative volume, and educational curricula as a result of the COVID-19 pandemic. Additionally, we sought to assess the impact of COVID-19 on resident burnout.

RESULTS

One thousand one hundred and two general surgery residents completed the survey. Residents reported a significant decline in the number of cases performed during the pandemic. Educational curricula were largely shifted toward online didactics. The majority of residents reported spending more time on educational didactics than before the pandemic. The majority of residents feared contracting COVID-19 or transmitting it to their family during the pandemic.

CONCLUSIONS

COVID-19 has had significant impact on surgical training and education. One positive consequence of the pandemic is increased educational didactics. Online didactics should continue to be a part of surgical education in the post-COVID-19 era. Steps need to be taken to ensure that graduating surgical residents are adequately prepared for fellowship and independent practice despite the significantly decreased case volumes during this pandemic. Surgery training programs should focus on providing nontechnical clinical training and professional development during this time.

Leiomyoma of the testis: case report, review of literature, and discussing the role of contrast-enhanced ultrasound

Leiomyomas are benign mesenchymal neoplasms that originate from smooth muscle cells. Leiomyoma of the testis is exceedlingly rare. We present a case demonstrating a 1.3 cm hypoehoic mass of the left testis but with significant enhancement on contrast-enhanced scrotal ultrasonography concerning for a malignant neoplasm in a 33-year-old Hispanic male. However, his final pathology revealed a benign disease, specifically intratesticular leiomyoma. We discuss the role of contrast-enhanced scrotal ultrasound in this disease process.

Current status of artificial intelligence applications in urology and their potential to influence clinical practice

OBJECTIVE

To investigate the applications of artificial intelligence (AI) in diagnosis, treatment and outcome predictionin urologic diseases and evaluate its advantages over traditional models and methods.

MATERIALS AND METHODS

A literature search was performed after PROSPERO registration (CRD42018103701) and in compliance with Preferred Reported Items for Systematic Reviews and Meta-Analyses (PRISMA) methods. Articles between 1994 and 2018 using the search terms "urology", "artificial intelligence", "machine learning" were included and categorized by the application of AI in urology. Review articles, editorial comments, articles with no full-text access, and nonurologic studies were excluded.

RESULTS

Initial search yielded 231 articles, but after excluding duplicates and following full-text review and examination of article references, only 111 articles were included in the final analysis. AI applications in urology include: utilizing radiomic imaging or ultrasonic echo data to improve or automate cancer detection or outcome prediction, utilizing digitized tissue specimen images to automate detection of cancer on pathology slides, and combining patient clinical data, biomarkers, or gene expression to assist disease diagnosis or outcome prediction. Some studies employed AI to plan brachytherapy and radiation treatments while others used video based or robotic automated performance metrics to objectively evaluate surgical skill. Compared to conventional statistical analysis, 71.8% of studies concluded that AI is superior in diagnosis and outcome prediction.

CONCLUSION

AI has been widely adopted in urology. Compared to conventional statistics AI approaches are more accurate in prediction and more explorative for analyzing large data cohorts. With an increasing library of patient data accessible to clinicians, AI may help facilitate evidence-based and individualized patient care.