The Effect of Perfusate Temperature on Delayed Graft Function in Deceased Donor Renal Transplantation.

Introduction: Renal allograft hypothermic machine perfusion results in a decreased incidence of delayed graft function compared with static cold storage. Ensuring perfusate temperatures remain within the target range of 4-10 °C may impact delayed graft function rates. Project Aims: To identify whether this target was achieved and, if not, whether higher perfusate temperature was associated with delayed graft function. Design: In this retrospective cohort study, transplanted grafts from deceased donors placed on hypothermic machine perfusion pump from June 2019 to August 2020 were analyzed. Measurements were recovered after 5, 15, 60, and 180 min of perfusion. Univariable and multivariable analyses were performed to identify predictors of delayed graft function. Results: A total of 113 grafts from 94 donors were analyzed. Of these, 21 (19%) developed delayed graft function. On univariable logistic regression, variables associated with delayed graft function included older donor age (OR 1.08, P = .002), higher Kidney Donor Profile Index score (OR 1.03, P = .024), and higher 5-min perfusate temperature (T5 min; OR 1.49, P = .014). A higher T5 min was also associated with delayed graft function in multivariable logistic regression models (OR 1.58, P = .005; OR 1.37, P = .08). Grafts with T5 min >10 °C were more likely to experience delayed graft function than those with T5 min <10 °C (OR 4.5, P = .006). Conclusion: Higher early perfusate temperature was an independent predictor of delayed graft function and may be due to inadequate cooling of the circuit prior to placing grafts on pump. Quality improvement initiatives targeting early perfusate temperatures of ≤10 °C may reduce delayed graft function incidence.

Characterizing 30-Day Postoperative Acute Care Visits: A National Surgical Quality Improvement Program Collaborative Analysis.

INTRODUCTION: Many postoperative acute care visits (PACVs) are likely more appropriately addressed in lower acuity settings; however, the frequency and nature of PACVs are not currently tracked by the National Surgical Quality Improvement Program (NSQIP), and the overall burden to emergency departments and urgent care centers is unknown. METHODS: NSQIP collaborative data were augmented to prospectively capture 30-d PACVs for 1 y starting October 2018 across all NSQIP specialties, including visit reason and disposition. Data were analyzed using binomial logistic regression. RESULTS: A total of 9933 patients were identified; 12.0% (n = 1193) presented to an acute care setting over 1413 visits, most commonly for surgical pain (15.4%) in the absence of an identified complication. Visits most commonly resulted in discharge (n = 817, 68.5%) or admission (n = 343, 24.3%). Variables independently associated with visits resulting in discharge included age (odds ratio [OR] 0.99 per year, P < 0.001), increasing comorbidities (1-2 [OR 1.55, P < 0.001]; 3-4 [OR 2.51, P < 0.001]; 5+ [OR 2.79 P < 0.001]), operative duration (OR 1.08 per hour, P = 0.001), and nonelective (OR 1.20, P = 0.01) or urologic (OR 1.46, P = 0.01) procedures. CONCLUSIONS: PACVs are an overlooked burden on emergency medicine providers and healthcare systems; most do not require admission and could be potentially triaged outside of the acute care setting with improved perioperative care infrastructure. Younger patients, those with multiple comorbidities, and those undergoing nonelective procedures deserve special attention when designing initiatives to address postoperative acute care utilization. Data regarding PACVs can be routinely collected with minor modifications to current NSQIP workflows.