Vogt, Matthew N.P.

Abstract Background: The dynamic nature of surgical demand poses significant challenges in planning and scheduling resources to staff the surgical suite. Uncertainty in workload often leads to conservative upstream resource allocation, resulting in staffing misallocation. We propose a novel metric, the daily maximum number of open operating rooms (ORs), as an interpretable resource demand proxy to support staff planning. Methods: Using historical surgical data from Mayo Clinic in Rochester, Minnesota, from May 5, 2018 through October 8, 2023 (332,904 surgical cases), we developed a deep learning framework based on a wide-and-deep architecture to predict the daily maximum number of open ORs. The model incorporates features capturing historic OR use trends, seasonality effects, and anesthesia division–specific characteristics. Predictions are generated for forecast horizons of up to 90 business days. Results: Our results demonstrate strong predictive performance, with campus-level root mean square error values ranging from 5 to 7 available ORs across all forecast horizons. Validation across 9 anesthesia divisions confirms the frame- work’s capability to capture complex, nonlinear dependencies within longitudinal surgical datasets. Conclusions: This study introduces a novel operational metric and a robust predictive framework for perioperative resource management. By accurately fore- casting daily maximum open ORs, health care managers can better align staff capacity with anticipated demand, potentially enhancing staff use and improving the patient care experience by minimizing delays.

Background. Anesthetic management of orthotopic liver transplantation (OLT) can be challenging. Management involves responding to sudden hemodynamic shifts, addressing instability, and performing ongoing volume assessment. To best prepare for these perturbations, various monitors are used intraoperatively. We sought to explore the impact of transesophageal echocardiography (TEE) and pulmonary artery catheter (PAC) use on outcomes of patients undergoing OLT. Methods. We retrospectively reviewed records of patients who underwent OLT at a single institution and included all who were monitored intraoperatively with TEE alone, PAC alone, or both methods concurrently (TEE + PAC). We determined whether these groups had differences in length of hospitalization (primary outcome), 30-day mortality rate, and other outcomes. Results. Three hundred eighteen liver transplant operations were included in the study. Patients in the TEE + PAC group had the shortest median length of hospitalization (TEE + PAC, 8.6 days; TEE, 10.3; PAC, 9.1; P = 0.04). The TEE + PAC group also had the lowest 30-day mortality rate (TEE + PAC, n = 1 [1.3%]; TEE, n = 5 [12.8%]; PAC, n = 7 [3.5%]; P = 0.009). However, the TEE + PAC group also had the highest rate of a new postoperative need for dialysis (TEE + PAC, n = 8 [10.3%]; TEE, n = 2 [5.1%]; PAC, n = 1 [0.5%]; P < 0.001). Conclusions. Compared with either TEE alone or PAC alone, intraoperative monitoring with TEE + PAC during OLT was associated with the shortest length of hospitalization and lowest 30-day mortality rate. Transplant anesthesiologists should be aware of the potential benefit on patient mortality and hospital length of stay with concurrent intraoperative TEE + PAC monitoring and the increased need for new postoperative dialysis.

Background. The assessment of perioperative risk factors for the development of acute respiratory distress syndrome (ARDS) has been described in various surgical populations. However, there are only limited data among patients undergoing liver transplantation (LT), particularly regarding the influence of intraoperative ventilation parameters. We sought to identify the perioperative risk factors associated with the development of ARDS in LT recipients. Methods. This is a single-center, retrospective cohort study of adult patients who underwent LT at a tertiary academic medical center between January 1, 2006, and January 31, 2016. Postoperative ARDS was identified using the Berlin definition. Multivariable logistic regression analysis was used to identify perioperative risk factors for ARDS. Results. Of 817 eligible patients who underwent an LT during the study period, 20 (2.45%) developed postoperative ARDS. In the preoperative model, ongoing dialysis (odds ratio, 6.41; P < 0.01) was identified as an independent risk factor of ARDS post-LT. A higher mean peak inspiratory pressure per increase of 1 cm H2O (odds ratio, 1.31; P < 0.01) was the only independent risk factor in the intraoperative model. Patients who developed ARDS postoperatively had significantly greater intensive care unit and hospital stay compared to non-ARDS patients (P < 0.001). There were no significant differences in the 30-day (P = 0.16) and 1-year (P = 0.51) mortality between the groups. Conclusions. Dialysis at the time of transplant and elevated intraoperative mean peak inspiratory pressure were associated with the development of ARDS. ARDS post LT was associated with increased intensive care unit and hospital length of stay, but not increased mortality.

Intracardiac thrombus occurs in 1.2%–6.3% of patients undergoing orthotopic liver transplant and is associated with a high mortality rate. The pathophysiology and risk factors for development of this complication are not well understood. No consensus treatment guidelines exist, and specific therapies are associated with serious risks. We present the timely and successful use of a Poole tip surgical suction device advanced into the right atrium through a cavotomy created in the inferior vena cava to remove a large right atrial thrombus during liver transplant. The thrombus was identified with transesophageal echocardiography and was causing cardiovascular collapse.