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Objective: To determine the effect of prolonged length of stay (LOS) after esophagectomy on long term survival. Background: Complications after esophagectomy have a significant impact in short-term survival. The specific effect of prolonged LOS after esophagectomy is unclear. We hypothesized that postoperative complications that occur after esophagectomy, resulting in prolonged LOS, have a detrimental effect on long term survival. Methods: All patients undergoing esophagectomy between 2004 and 2014 were identified in the National Cancer Database. To eliminate the confounding effect of short-term mortality, we included only patients who survived at least 90 days postoperatively. Demographics, disease characteristics, and perioperative outcomes were analyzed. Postoperative LOS was used as a surrogate for postoperative complications. The highest quintile of LOS was defined as excessive LOS (ELOS). Kaplan-Meier and Cox proportional hazards survival analyses were performed to examine survival. Results: A total of 20,719 patients were identified. Of those 3826 had ELOS, with median LOS 26days (range 18-168days). Their median survival was 30.6 months compared to 53.6 months in the entire non-ELOS group (P < 0.0001). After multivariate analysis ELOS (odds ratio 1.56, 95% confidence interval 1.46–1.67) was an independent predictor of overall mortality. Higher disease stage, higher age, male sex, higher Charlson/Deyo comorbidity score, and readmission after discharge were also significant negative predictors of long-term survival, whereas surgery in an academic institution, being at the highest income quartile and having private or Medicare insurance predicted longer survival (all P < 0.001). Conclusions and Relevance: Postoperative complications after esophagectomy, resulting in ELOS, predict lower long-term survival independent of other factors. Counseling patients about surgery should include the detrimental long-term effects of postoperative complications and ELOS. Avoiding ELOS (LOS exceeding 18 days) could be considered a quality metric after esophagectomy. [ABSTRACT FROM AUTHOR]

Objective: To demonstrate the feasibility of implementing a CBE curriculum within a general surgery residency program and to evaluate its effectiveness in improving resident skill. Summary of Background Data: Operative skill variability affects residents and practicing surgeons and directly impacts patient outcomes. CBE can decrease this variability by ensuring uniform skill acquisition. We implemented a CBE LC curriculum to improve resident performance and decrease skill variability. Methods: PGY-2 residents completed the curriculum during monthly rotations starting in July 2017. Once simulator proficiency was reached, residents performed elective LCs with a select group of faculty at 3 hospitals. Performance at curriculum completion was assessed using LC simulation metrics and intraoperative operative performance rating system scores and compared to both baseline and historical controls, comprised of rising PGY-3s, using a 2-sample Wilcoxon rank-sum test. PGY-2 group's performance variability was compared with PGY-3s using Levene robust test of equality of variances; P < 0.05 was considered significant. Results: Twenty-one residents each performed 17.52 ± 4.15 consecutive LCs during the monthly rotation. Resident simulated and operative performance increased significantly with dedicated training and reached that of more experienced rising PGY-3s (n = 7) but with significantly decreased variability in performance (P = 0.04). Conclusions: Completion of a CBE rotation led to significant improvements in PGY-2 residents' LC performance that reached that of PGY-3s and decreased performance variability. These results support wider implementation of CBE in resident training. [ABSTRACT FROM AUTHOR]

Objective: To determine if distinct financial trajectories exist and if they are associated with quality-of-life outcomes. Summary of Background Data: Financial hardship after injury measurably impacts Health-Related Quality of Life outcomes. Financial hardship, encompassing material losses, financial worry, and poor coping mechanisms, is associated with lower quality of life and increased psychological distress. However, recovery is dynamic and financial hardship may change over time. Methods: This is a secondary analysis of a cohort of 500 moderate-to-severe nonneurologic injured patients in which financial hardship and Health-related Quality of Life outcomes were measured at 1, 2, 4, and 12 months after injury using survey instruments (Short Form-36). Enrollment occurred at an urban, academic, Level 1 trauma center in Memphis, Tennessee during January 2009 to December 2011 and follow-up completed by December 2012. Results: Four hundred seventy-four patients had sufficient data for Group- Based Trajectory Analysis. Four distinct financial hardship trajectories were identified: Financially Secure patients (8.6%) had consistently low hardship over time; Financially Devastated patients had a high degree of hardship immediately after injury and never recovered (51.6%); Financially Frail patients had increasing hardship over time (33.6%); and Financially Resilient patients started with a high degree of hardship but recovered by year end (6.2%). At 12-months, all trajectories had poor Short Form-36 physical component scores and the Financial Frail and Financially Devastated trajectories had poor mental health scores compared to US population norms. Conclusions and Relevance: The Financially Resilient trajectory demonstrates financial hardship after injury can be overcome. Further research into understanding why and how this occurs is needed. [ABSTRACT FROM AUTHOR]

Supplemental Digital Content is available in the text Objective: The American College of Surgeons (ACS) conducts a robust quality improvement program for ACS-verified trauma centers, yet many injured patients receive care at non-accredited facilities. This study tested for variation in outcomes across non-trauma hospitals and characterized hospitals associated with increased mortality. Summary Background Data: The study included state trauma registry data of 37,670 patients treated between January 1, 2013, and December 31, 2015. Clinical data were supplemented with data from the American Hospital Association and US Department of Agriculture, allowing comparisons among 100 nontrauma hospitals. Methods: Using Bayesian techniques, risk-adjusted and reliability-adjusted rates of mortality and interfacility transfer, as well as Emergency Departments length-of-stay (ED-LOS) among patients transferred from EDs were calculated for each hospital. Subgroup analyses were performed for patients ages >55 years and those with decreased Glasgow coma scores (GCS). Multiple imputation was used to address missing data. Results: Mortality varied 3-fold (0.9%–3.1%); interfacility transfer rates varied 46-fold (2.1%–95.6%); and mean ED-LOS varied 3-fold (81–231 minutes). Hospitals that were high and low statistical outliers were identified for each outcome, and subgroup analyses demonstrated comparable hospital variation. Metropolitan hospitals were associated increased mortality [odds ratio (OR) 1.7, P = 0.004], decreased likelihood of interfacility transfer (OR 0.7, P ≤ 0.001), and increased ED-LOS (coef. 0.1, P ≤ 0.001) when compared with nonmetropolitan hospitals and risk-adjusted. Conclusions: Wide variation in trauma outcomes exists across nontrauma hospitals. Efforts to improve trauma quality should include engagement of nontrauma hospitals to reduce variation in outcomes of injured patients treated at those facilities. [ABSTRACT FROM AUTHOR]

Supplemental Digital Content is available in the text Objective: We hypothesized that failure to achieve protein goals early in the critical care course via enteral nutrition is associated with increased complications. Background: Although robust randomized controlled trials are lacking, present data suggest that early, adequate nutrition is associated with improved outcomes in critically ill patients. Injured patients are at risk of accumulating significant protein debt due to interrupted feedings and intolerance. Methods: Critically injured adults who were unable to be volitionally fed were included in this retrospective review. Data collected included demographics, injury characteristics, number and types of operations, total prescribed and delivered protein and calories during the first 7 days of critical care admission, complications, and outcomes. Group-based trajectory modeling was applied to identify subgroups with similar feeding trajectories in the cohort. Results: There were 274 patients included (71.2% male). Mean age was 50.56  ± 19.76 years. Group-based trajectory modeling revealed 5 Groups with varying trajectories of protein goal achievement. Group 5 fails to achieve protein goals, includes more patients with digestive tract injuries (33%, P = 0.0002), and the highest mean number of complications (1.52, P = 0.0086). Group 2, who achieves protein goals within 4 days, has the lowest mean number of complications (0.62, P = 0.0086) and operations (0.74, P = 0.001). Conclusions: There is heterogeneity in the trajectory of protein goal achievement among various injury pattern Groups. There is a sharp decline in complication rates when protein goals are reached within 4 days of critical care admission, calling into question the application of current guidelines to healthy trauma patients to tolerate up to 7 days of nil per os status and further reinforcing recommendations for early enteral nutrition when feasible. [ABSTRACT FROM AUTHOR]

Objectives: Machine learning algorithms can outperform older methods in predicting clinical deterioration, but rigorous prospective data on their real-world efficacy are limited. We hypothesized that real-time machine learning generated alerts sent directly to front-line providers would reduce escalations., Design: Single-center prospective pragmatic nonrandomized clustered clinical trial., Setting: Academic tertiary care medical center., Patients: Adult patients admitted to four medical-surgical units. Assignment to intervention or control arms was determined by initial unit admission., Interventions: Real-time alerts stratified according to predicted likelihood of deterioration sent either to the primary team or directly to the rapid response team (RRT). Clinical care and interventions were at the providers' discretion. For the control units, alerts were generated but not sent, and standard RRT activation criteria were used., Measurements and Main Results: The primary outcome was the rate of escalation per 1000 patient bed days. Secondary outcomes included the frequency of orders for fluids, medications, and diagnostic tests, and combined in-hospital and 30-day mortality. Propensity score modeling with stabilized inverse probability of treatment weight (IPTW) was used to account for differences between groups. Data from 2740 patients enrolled between July 2019 and March 2020 were analyzed (1488 intervention, 1252 control). Average age was 66.3 years and 1428 participants (52%) were female. The rate of escalation was 12.3 vs. 11.3 per 1000 patient bed days (difference, 1.0; 95% CI, -2.8 to 4.7) and IPTW adjusted incidence rate ratio 1.43 (95% CI, 1.16-1.78; p < 0.001). Patients in the intervention group were more likely to receive cardiovascular medication orders (16.1% vs. 11.3%; 4.7%; 95% CI, 2.1-7.4%) and IPTW adjusted relative risk (RR) (1.74; 95% CI, 1.39-2.18; p < 0.001). Combined in-hospital and 30-day-mortality was lower in the intervention group (7% vs. 9.3%; -2.4%; 95% CI, -4.5% to -0.2%) and IPTW adjusted RR (0.76; 95% CI, 0.58-0.99; p = 0.045)., Conclusions: Real-time machine learning alerts do not reduce the rate of escalation but may reduce mortality., Competing Interests: The authors have disclosed that they do not have any potential conflicts of interest., (Copyright © 2024 by the Society of Critical Care Medicine and Wolters Kluwer Health, Inc. All Rights Reserved.)