Transplant Surgery Pipeline: A Report from the American Society of Transplant Surgeons Pipeline Taskforce.

BACKGROUND: Transplant surgery fellowship has evolved over the years and today there are 66 accredited training programs in the US and Canada. There is growing concern, however, about the number of US-trained general surgery residents pursuing transplant surgery. In this study, we examined the transplant surgery pipeline, comparing it with other surgical subspecialty fellowships, and characterized the resident transplantation experience. METHODS: Datasets were compiled and analyzed from surgical fellowship match data obtained from the National Resident Matching Program and ACGME reports and relative fellowship competitiveness was assessed. The surgical resident training experience in transplantation was evaluated. RESULTS: From 2006 to 2018, a total of 1,094 applicants have applied for 946 transplant surgery fellowship positions; 299 (27.3%) were US graduates. During this period, there was a 0.8% decrease per year in US-trained surgical residents matching into transplant surgery (p = 0.042). In addition, transplant surgery was one of the least competitive fellowships compared with other National Resident Matching Program surgical subspeciality fellowships, as measured by the number of US applicants per available fellowship position, average number of fellowship programs listed on each applicant's rank list, and proportion of unfilled fellowship positions (each, p < 0.05). Finally, from 2015 to 2017, there were 57 general surgery residency programs that produced 77 transplant surgery fellows, but nearly one-half of the fellows (n = 36 [46.8%]) came from 16 (28.1%) programs. CONCLUSIONS: Transplant surgery is one of the least competitive and sought after surgical fellowships for US-trained residents. These findings highlight the need for dedicated efforts to increase exposure, mentorship, and interest in transplantation to recruit strong US graduates.

Extinguishing burnout: National analysis of predictors and effects of burnout in abdominal transplant surgery fellows.

Burnout among surgeons has been attributed to increased workload and decreased autonomy. Although prior studies have examined burnout among transplant surgeons, no studies have evaluated burnout in abdominal transplant surgery fellows. The objective of our study was to identify predictors of burnout and understand its impact on personal and patient care during fellowship. A survey was sent to all abdominal transplant surgery fellows in an American Society of Transplant Surgeons-accredited fellowship. The response rate was 59.2% (n = 77) and 22.7% (n = 17) of fellows met criteria for burnout. Fellows with lower grit scores were more likely to exhibit burnout compared with fellows with higher scores (3.6 vs 4.0, P = .026). Those with burnout were more likely to work >100 hours per week (58.8% vs 27.6%, P = .023), have severe work-related stress (58.8% vs 22.4%, P = .010), consider quitting fellowship (94.1% vs 20.7%, P < .001), or make a medical error (35.3% vs 5.2%, P = .003). This national analysis of abdominal transplant fellows found that burnout rates are relatively low, but few fellows engage in self-care. Personal and program-related factors attribute to burnout and it has unacceptable effects on patient care. Transplant societies and fellowship programs should develop interventions to give fellows tools to prevent and combat burnout.

Factors associated with low graft regeneration in the early phase after living donor liver transplantation.

Appropriate graft regeneration after living donor liver transplantation (LDLT) is crucial to avoid small-for-size syndrome. We enrolled 44 recipients who underwent ABO-identical/compatible LDLT from December 2007 to August 2016 and determined possible factors associated with low graft regeneration after LDLT. Liver regeneration was calculated by the ratio of the graft size on postoperative day (POD) 7 ± 1 day (calculated by CT volumetry) to the size of the donated liver at implant. Postoperative outcomes were compared between the low and high regeneration groups. Median regeneration rate was 1.65-fold. Regeneration rate was negatively correlated with graft-to-recipient weight ratio. Postoperative morbidity rates on POD 14-90 were significantly higher in the low group compared with the high group (63% vs 18%, P = .03). Graft and patient survival in the low group were significantly worse than the high group (1-year graft survival 73% vs 100%, P = .002; patient survival 82% vs 100%, P = .01). Cold ischemia time (CIT; per 10 minute; odds ratio [OR] =1.37) and platelet count <60 000/µL on POD 5 (OR = 14.32) were independently associated with low regeneration. In conclusion, longer CIT and postoperative thrombocytopenia were associated with low graft regeneration in the early phase after LDLT, which could consequently lead to poor graft and patient survival.

Outcome of liver transplantation in patients with prior bariatric surgery.

Nonalcoholic fatty liver disease is becoming the leading cause of disease resulting in liver transplantation (LT). As a result of this trend, more LT candidates are presenting with prior history of bariatric surgery (BS). Over the last decade, 960 patients underwent LT at our institution; 11 (1.1%) had prior BS. The most common type of BS was Roux-en-Y gastric bypass (n = 9) with 1 sleeve gastrectomy and 1 jejunoileal bypass. A total of 9 patients underwent LT alone, and 2 underwent simultaneous liver-kidney transplantation. The most common indication for LT was nonalcoholic steatohepatitis (n = 10) with 5 having additional diagnosis of alcoholic liver disease. The 30-day reoperation rate was 36.4% (n = 4); indications were bile duct repair (n = 3) and wound repair (n = 1). In the first 6 months after LT, biliary complications were seen in 54.5% (n = 6) of the patients. Both patient and graft survival rates at 1 and 2 years were 81.8% (n = 9) and 72.7% (n = 8), respectively. A total of 8 patients (72.7%) had indications for liver biopsy after LT; significant macrovesicular steatosis was found in 2 (18.2%). In patients with a history of alcohol consumption, 2 (40.0%) relapsed after LT. Two patients (18.2%) had a history of diet-controlled diabetes before LT; 1 of these patients became insulin dependent after LT. Mean body mass index (BMI) at LT was 31.0 ± 5.7 kg/m2 . Mean BMI at 1, 6, and 12 months after LT was 28.3 ± 5.8, 28.0 ± 3.2, and 31.0 ± 6.6 kg/m2 , respectively. Mean preoperative albumin was 2.6 ± 0.6 mg/dL. Patients showed improvement in albumin after LT, with mean albumin of 2.7 ± 0.6 and 3.2 ± 0.5 mg/dL at 1 and 3 months, respectively. The liver profile was stable after LT, with mean aspartate aminotransferase of 32.9 ± 18.4 and 26.6 ± 19.8 IU/L and alanine aminotransferase of 28.0 ± 17.5 and 30.2 ± 17.0 IU/L at 6 and 12 months, respectively. In conclusion, outcomes of LT patients with prior BS are comparable with other transplant recipients with regards to patient and graft survival and post-LT complication rates. Liver Transplantation 23 1415-1421 2017 AASLD.

Prediction of biliary anastomotic stricture after deceased donor liver transplantation: the impact of platelet counts - a retrospective study.

Biliary stricture is a common cause of morbidity after liver transplantation (LT). This study aimed to determine the risk factors for post-transplant biliary anastomotic strictures (BAS), focusing on perioperative platelet counts. We enrolled 771 consecutive recipients who underwent ABO-identical/compatible deceased donor LT with duct-to-duct biliary reconstruction from January 2000 to June 2012. BAS was identified in 142 cases. The median time for stricture development was 176 days. Preoperative and postoperative platelet counts within 5 days after LT were significantly lower in patients with BAS than those without BAS. Using cutoff values acquired by the receiver operating characteristic curve analysis, persistent postoperative thrombocytopenia was defined as platelet counts <41 × 1000/µl and <53 × 1000/µl on postoperative day (POD) 3 and POD 5, respectively. Multivariate analysis indicated persistent postoperative thrombocytopenia (OR = 2.38) was the only independent risk factor for BAS. No significant associations were observed in terms of donor and surgical factors. Multivariate analysis demonstrated estimated blood loss (OR = 1.01, per 100 ml) was an independent contributing factor for persistent postoperative thrombocytopenia. We demonstrated low platelet count was associated with progression of post-transplant BAS. Minimizing intraoperative blood loss potentially contributes to maintain post-transplant platelet count, which may reduce incidence of BAS.

Prognostic impact of postoperative low platelet count after liver transplantation.

BACKGROUND: The positive impact of platelets has been recently implicated in liver transplantation (LT). The aim of this study was to determine the risk factors for graft loss and mortality after LT, focusing on perioperative platelet counts. METHODS: We reviewed all deceased donor LT from 2000 to 2012 and enrolled 975 consecutive recipients. The risk factors for graft loss and mortality were analyzed by multivariate analysis, using Cox's regression model. RESULTS: Using cutoff values acquired by receiver operating characteristics curve analysis, multivariate analyses determined that viral hepatitis C (hazard ratio [HR]=1.32), donor age >40 (HR=1.33), higher peak serum alanine aminotransferase (HR=1.01), reoperation within 30 days (HR=1.51), and platelet count <72 500/µL on postoperative day (POD) 5 (HR=1.30) were independent risk factors for graft loss. Viral hepatitis C (HR=1.33), reoperation within 30 days (HR=1.35), and platelet count <72 500/µL on POD 5 (HR=1.38) were independent risk factors for mortality. CONCLUSION: A low platelet count on POD 5 was associated with graft loss and mortality after LT. Platelet count <72 500/µL on POD 5 can be a predictor of poor graft and overall survival. Maintaining higher postoperative platelet counts could potentially improve graft and overall survival rates.

Factors associated with patterns of mobile technology use among persons who inject drugs.

BACKGROUND: New and innovative methods of delivering interventions are needed to further reduce risky behaviors and increase overall health among persons who inject drugs (PWID). Mobile health (mHealth) interventions have potential for reaching PWID; however, little is known about mobile technology use (MTU) in this population. In this study, the authors identify patterns of MTU and identified factors associated with MTU among a cohort of PWID. METHODS: Data were collected through a longitudinal cohort study examining drug use, risk behaviors, and health status among PWID in San Diego, California. Latent class analysis (LCA) was used to define patterns of MTU (i.e., making voice calls, text messaging, and mobile Internet access). Multinomial logistic regression was then used to identify demographic characteristics, risk behaviors, and health indicators associated with mobile technology use class. RESULTS: In LCA, a 4-class solution fit the data best. Class 1 was defined by low MTU (22%, n = 100); class 2, by PWID who accessed the Internet using a mobile device but did not use voice or text messaging (20%, n = 95); class 3, by primarily voice, text, and connected Internet use (17%, n = 91); and class 4, by high MTU (41%, n = 175). Compared with low MTU, high MTU class members were more likely to be younger, have higher socioeconomic status, sell drugs, and inject methamphetamine daily. CONCLUSION: The majority of PWID in San Diego use mobile technology for voice, text, and/or Internet access, indicating that rapid uptake of mHealth interventions may be possible in this population. However, low ownership and use of mobile technology among older and/or homeless individuals will need to be considered when implementing mHealth interventions among PWID.

Clinician perceptions of operating room to intensive care unit handoffs and implications for patient safety: a qualitative study.

BACKGROUND: Operating room (OR) to the intensive care unit (ICU) handoffs are known sources of medical error, yet little is known about the relationship between process failures and patient harm. METHODS: Interviews were conducted with clinicians involved in the OR-to-ICU handoff to characterize the relationship between handoff process failures and patient harm. Qualitative analysis was used to inductively identify key themes. RESULTS: A total of 38 interviews were conducted. Dominant themes included early communication from the OR to the ICU, team member participation in the handoff, and relationships between clinicians; clinician perspectives varied depending substantially on role within the team. CONCLUSIONS: The findings suggest that ambiguous roles and conflicting expectations of team members during the OR-to-ICU handoff can increase risk of patient harm. Future studies should investigate early postoperative ICU care as outcome markers of handoff quality and the effect of interprofessional education on clinician adherence to interventions.

Operating room to intensive care unit handoffs and the risks of patient harm.

BACKGROUND: The goal of this study was to assess systems and processes involved in the operating room (OR) to intensive care unit (ICU) handoff in an attempt to understand the criticality of specific steps of the handoff. METHODS: We performed a failure modes, effects, and criticality analysis (FMECA) of the OR to ICU handoff of deceased donor liver transplant recipients using in-person observations and descriptions of the handoff process from a multidisciplinary group of clinicians. For each step in the process, failures were identified along with frequency of occurrence, causes, potential effects and safeguards. A Risk Priority Number (RPN) was calculated for each failure (frequency × potential effect × safeguard; range 1-least risk to 1,000-most risk). RESULTS: Using FMECA, we identified 37 individual steps in the OR to ICU handoff process. In total, 81 process failures were identified, 22 of which were determined to be critical and 36 of which relied on weak safeguards such as informal human verification. Process failures with the greatest risk of harm were lack of preliminary OR to ICU communication (RPN 504), team member absence during handoff communication (RPN 480), and transport equipment malfunction (Risk Priority Number 448). CONCLUSION: Based on the analysis, recommendations were made to reduce potential for patient harm during OR to ICU handoffs. These included automated transfer of OR data to ICU clinicians, enhanced ICU team member notification processes and revision of the postoperative order sets. The FMECA revealed steps in the OR to ICU handoff that are high risk for patient harm and are currently being targeted for process improvement.

Donor Age-Based Analysis of Liver Transplantation Outcomes: Short- and Long-Term Outcomes Are Similar Regardless of Donor Age.

BACKGROUND: The shortage of donor organs has led to increasing use of extended criteria donors, including older donors. The upper limit of donor age that produces acceptable outcomes continues to be explored. In liver transplantation, with appropriate selection, graft survival and patient outcomes would be comparable regardless of age. STUDY DESIGN: We performed a retrospective analysis of 1,036 adult orthotopic liver transplantations (OLT) from a prospectively maintained database performed between January 1, 2000 and December 31, 2013. The study focus group was liver transplantations performed using grafts from older (older than 60 years) deceased donors. Deceased donor liver transplantations done during the same time period using grafts from younger donors (younger than 60 years) were analyzed for comparison. Both groups were further divided based on recipient age (less than 60 years and 60 years or older). Donor age was the primary variable. Recipient variables included were demographics, indication for transplantation, Model for End-Stage Liver Disease (MELD), graft survival, and patient survival. Operative details and postoperative complications were analyzed. RESULTS: Patient demographics and perioperative details were similar between groups. Patient and graft survival rates were similar in the 4 groups. Rates of rejection (p = 0.07), bile leak (p = 0.17), and hepatic artery thrombosis were comparable across all groups (p = 0.84). Hepatitis C virus recurrence was similar across all groups (p = 0.10). Thirty-one young recipients (less than 60 years) received grafts from donors aged 70 or older. Their survival and other complication rates were comparable to those in the young donor to young recipient group. CONCLUSIONS: Comparable outcomes in graft and patient survivals were achieved using older donors (60 years or more), regardless of recipient age, without increased rate of complications.

Morbid obesity in liver transplant recipients adversely affects longterm graft and patient survival in a single-institution analysis.

OBJECTIVE: The effects of obesity in liver transplantation remain controversial. Earlier institutional data demonstrated no significant difference in postoperative complications or 1-year mortality. This study was conducted to test the hypothesis that obesity alone has minimal effect on longterm graft and overall survival. METHODS: A retrospective, single-institution analysis of outcomes in patients submitted to primary adult orthotopic liver transplantation was conducted using data for the period from 1 January 2002 to 31 December 2012. Recipients were divided into six groups by pre-transplant body mass index (BMI), comprising those with BMIs of <18.0 kg/m(2) , 18.0-24.9 kg/m(2) , 25.0-29.9 kg/m(2) , 30.0-35.0 kg/m(2) , 35.1-40.0 kg/m(2) and >40 kg/m(2) , respectively. Pre- and post-transplant parameters were compared. A P-value of <0.05 was considered to indicate statistical significance. Independent predictors of patient and graft survival were determined using multivariate analysis. RESULTS: A total of 785 patients met the study inclusion criteria. A BMI of >35 kg/m(2) was associated with non-alcoholic steatohepatitis (NASH) cirrhosis (P < 0.0001), higher Model for End-stage Liver Disease (MELD) score, and longer wait times for transplant (P = 0.002). There were no differences in operative time, intensive care unit or hospital length of stay, or perioperative complications. Graft and patient survival at intervals up to 3 years were similar between groups. Compared with non-obese recipients, recipients with a BMI of >40 kg/m(2) showed significantly reduced 5-year graft (49.0% versus 75.8%; P < 0.02) and patient (51.3% versus 78.8%; P < 0.01) survival. CONCLUSIONS: Obesity increasingly impacts outcomes in liver transplantation. Although the present data are limited by the fact that they were sourced from a single institution, they suggest that morbid obesity adversely affects longterm outcomes despite providing similar short-term results. Further analysis is indicated to identify risk factors for poor outcomes in morbidly obese patients.