Strict compliance to a thoracic enhanced recovery after surgery protocol is associated with improved outcomes compared with partial compliance: A prospective cohort study.

BACKGROUND: Benefits of thoracic enhanced recovery after surgery programs have been described. However, there is ongoing discussion on the importance of full protocol compliance. The objective of this study was to determine whether strict adherence to an enhanced recovery after surgery protocol leads to further improvement in outcomes compared with less strict compliance. METHODS: This was a multihospital prospective cohort study of all consecutive anatomic lung resection patients on the thoracic enhanced recovery after surgery pathway from May 2021 to March 2023, with comparison with a historical control from January 2019 to April 2021. Compliance to 5 key protocol elements was tracked. Patients were grouped into high- and low-compliance cohorts, defined as adherence to 4-5/5 or 0-3/5 elements, respectively. The primary outcome was overall morbidity; secondary outcomes included cardiac, respiratory, and infectious morbidity and length of stay. RESULTS: Of the 960 patients, 429 (44.7%) were enhanced recovery after surgery patients and 531 (55.3%) were in the historical control group. Across all patients, 250 (26.0%) were considered high compliance and 710 (74.0%) were considered low compliance. After adjustment for enhanced recovery after surgery status and confounders, the association between high compliance and improved outcomes persisted for all but infectious morbidity. Compared with low compliance, high compliance was associated with decreased odds of any morbidity (0.41 [95% CI, 0.22-0.77]), cardiac morbidity (0.31 [0.11-0.91]), respiratory morbidity (0.46 [0.23-0.90]) and decreased length of stay (0.38 [0.18-0.87]). CONCLUSION: Enhanced recovery after surgery protocols improve outcomes after anatomic lung resection. Increasing compliance to individual elements (>80%) further improves patient outcomes. Continued efforts should be directed at increasing compliance to individual protocol elements.

Personalizing patient risk of a life-altering event: An application of machine learning to hemiarch surgery.

OBJECTIVE: The study objective was to assess a machine learning model's ability to predict the occurrence of life-altering events in hemiarch surgery and determine contributing patient characteristics and intraoperative factors. METHODS: In total, 602 patients who underwent hemiarch replacement at a high-volume aortic center from 2009 to 2022 were included. Patients were randomly divided into training (80%) and testing (20%) sets with various eXtreme gradient boosting candidate models constructed to predict the risk of experiencing life-altering events, including stroke, mortality, or new renal replacement therapy requirement. A total of 64 input parameters from the index hospitalization were identified, including 24 demographic characteristics as well as 8 preoperative and 32 intraoperative variables. A SHapley Additive exPlanation beeswarm plot was generated to identify and interpret the impact of individual features on the predictions of the final model. RESULTS: A life-altering event was noted in 15% (90/602) of patients who underwent hemiarch replacement, including urgent/emergency cases and dissections. The final eXtreme Gradient Boosting model demonstrated a cross-validation accuracy of 88% on the testing set and was well calibrated as evidenced by a low Brier score of 0.12. The best performing model achieved an area under the receiver operating characteristic curve of 0.76 and an area under the precision recall curve of 0.55. The SHapley Additive exPlanation beeswarm plot provided insights into key features that significantly influenced model prediction. CONCLUSIONS: Machine learning demonstrated superior accuracy in predicting hemiarch patients who would experience a life-altering event. This model may help to guide patients and clinicians in stratifying risk on an individual basis, which may in turn influence clinical decision-making.

Challenges, Preoperative Assessment, and Surgical Strategies for the Left-Sided Gallbladder.

Left-sided gallbladder positioning, or sinistroposition, is a rare anatomical variation that poses challenges during surgical intervention due to associated vascular and biliary anomalies. While existing literature suggests an incidence of approximately 0.04-1.1%, it remains an underreported phenomenon that falls well outside the realm of "expected" anatomical variation and are rarely identified on preoperative imaging. Here, we present a case of acute cholecystitis in a patient with unexpected left-sided gallbladder, highlighting the associated challenges and outlining both preoperative and intraoperative strategies for managing this rare but consequential anatomical variant. In this case, a 49-year-old woman with a prior history of bilateral ovarian cysts presented with clinical, laboratory, and imaging findings consistent with acute cholecystitis. She underwent laparoscopic cholecystectomy and was found to have a severely inflamed left-sided gallbladder that was obscured by omentum. Her gallbladder was found in the midline immediately beneath the falciform ligament, with most of the gallbladder body and fundus attached to liver segment III, situated to the left of the midline. An additional left-sided mid-abdominal port was required to enhance retraction, and an intraoperative cholangiogram (IOC) was performed given the elevated risk of structural injury. This case underscores the heightened intraoperative risk associated with deviations in vascular and biliary anatomy and provides recommendations for intraoperative adaptations to mitigate these risks.

Objective Evaluation of Clock Face Suture Using the Objective Structured Assessment of Technical Skill (OSATS) Checklist.

Objective: Assessment of the quality of the final product (QFP) is critical in simulation training, such as the clock face suture (CFS) exercise that is used to assess trainees' needle handling and suturing accuracy. Objective Structured Assessment of Technical Skill (OSATS) scores are the gold standard for the evaluation of trainees. The aim was to investigate variability in the use of OSATS checklists and to evaluate a semi-automatic method of suture analysis vs. OSATS scores. Methods: Details of 287 CFSs performed by trainees during Fundamentals in Vascular Surgery examinations were collected. All were rated according to a seven item OSATS checklist, including QFP score and an overall score by one or two expert surgeons immediately after completion. Interassessor variability was assessed for the CFS that were assessed by two assessors.In order to assess intra- and interassessor variability, 50 CFS pictures were chosen randomly and submitted to three expert surgeons to rate the QFP twice and to carry out a semi-automatic image analysis of each CFS and the estimated cumulative error (CE; mm) recorded. It was hypothesised that the CE correlates to OSATS checklist items or overall score. Variables were compared for correlation with OSATS results using a linear regression. A Pearson's test was used to confirm the proposed hypothesis. Results: Mean ± standard deviation overall score for the OSATS checklist was 20.61 ± 6.33. Inter- and intra-assessor correlation were statistically significant regarding OSATS checklist items. Both correlations presented a low coefficient of determination, indicating variability. The mean CE was 16.07 ± 4.84 mm, and the correlation between the QFP and CE was statistically significant, proving that CE is an objective metric by which to assess the QFP. Conclusion: OSATS score demonstrated intra- and interassessor variability, although there was a significant correlation between scores. CE is an objective metric that is not subject to assessor subjectivity or interassessor variability and is correlated with the gold standard of evaluation.