The Implementation of a Resuscitative Endovascular Balloon Occlusion of the Aorta (REBOA) Program at a Level 1 New England Trauma Center: Feasibility and Early Outcomes.

OBJECTIVES: We evaluated the feasibility of implementing a Resuscitative Endovascular Balloon Occlusion of the Aorta (REBOA) program at our urban level 1 trauma center and evaluated early outcomes. DESIGN: A multidisciplinary committee including physicians (trauma surgery, emergency medicine, vascular surgery, and interventional radiology) and nurses created clinical practice guidelines for the placement of REBOA at our institution. All trauma surgeons and critical care board certified emergency medicine physicians were trained in placement and nurses received management training. A formal review process was implemented to identify areas for improvement. Finally, we instituted refresher training to maintain REBOA competency. Trauma patients with noncompressible torso hemorrhage from blunt or penetrating injuries who were partial or nonresponders to blood product resuscitation were included. Pregnant patients, children, or patients with significant hemothorax or suspected aortic or cardiac injury were excluded. RESULTS: Over seven months, eight catheters were successfully placed, all on the first attempt, including six in Zone 3 and two in Zone 1. All Zone 3 catheters were placed for pelvic fracture-related bleeding which were subsequently embolized. The Zone 1 catheters were placed immediately preoperatively for intraabdominal bleeding. Upon committee review, one critique was made regarding zone selection. One patient developed an arteriovenous fistula after placement which resolved without intervention. There were no other complications and all patients survived to discharge. CONCLUSIONS: An REBOA program is feasible and safe following a comprehensive multidisciplinary effort. The efforts described here can be utilized by similar trauma programs for adaptation of this endovascular approach to bleeding control.

Tactics for hemorrhagic shock: A virtual course and visual aid for improved resuscitation.

BACKGROUND: Our trauma performance improvement initiative recognized missed treatment opportunities for patients undergoing massive transfusion. To improve patient care, we developed a novel cognitive aid in the form of a poster entitled "TACTICS for Hemorrhagic Shock." We hypothesized that this reference and corresponding course would improve the performance of trauma leaders caring for simulated patients requiring massive transfusion. METHODS: First, residents and physician assistants participated in a one-on-one, socially distanced, screen-based virtual patient simulation. Next, they watched a short presentation introducing the TACTICS visual aid. They then underwent a similar second virtual simulation during which they had access to the reference. In both simulations, the participants were assessed using a scoring system developed to measure their ability to provide appropriate predetermined interventions while leading a trauma resuscitation (score range, 0-100%). Preintervention and postintervention scores were compared using a one-group pre-post within-subject design. Participants' feedback was obtained anonymously. RESULTS: Thirty-two participants (21 residents and 11 physician assistants) completed the course. The median score for the first simulation without the use of the visual aid was 43.8% (interquartile range, 33.3.8-61.5%). Commonly missed treatments included giving tranexamic acid (success rate, 37.5%), treating hypothermia (31.3%), and reversing known anticoagulation (28.1%). All participants' performance improved using the visual aid, and the median score of the second simulation was 89.6% (interquartile range, 79.2-94.8%; p < 0.001). Ninety-two percent of survey respondents "strongly agreed" that the TACTICS visual aid would be a helpful reference during real-life trauma resuscitations. CONCLUSION: The TACTICS visual aid is a useful tool for improving the performance of the trauma leader and is now displayed in our emergency department resuscitation rooms. This performance improvement course, the associated simulations, and visual aid are easily and virtually accessible to interested trauma programs. LEVEL OF EVIDENCE: Therapeutic/Care Management; Level IV.

Prediction of Postoperative Deterioration in Cardiac Surgery Patients Using Electronic Health Record and Physiologic Waveform Data.

BACKGROUND: Postoperative hemodynamic deterioration among cardiac surgical patients can indicate or lead to adverse outcomes. Whereas prediction models for such events using electronic health records or physiologic waveform data are previously described, their combined value remains incompletely defined. The authors hypothesized that models incorporating electronic health record and processed waveform signal data (electrocardiogram lead II, pulse plethysmography, arterial catheter tracing) would yield improved performance versus either modality alone. METHODS: Intensive care unit data were reviewed after elective adult cardiac surgical procedures at an academic center between 2013 and 2020. Model features included electronic health record features and physiologic waveforms. Tensor decomposition was used for waveform feature reduction. Machine learning-based prediction models included a 2013 to 2017 training set and a 2017 to 2020 temporal holdout test set. The primary outcome was a postoperative deterioration event, defined as a composite of low cardiac index of less than 2.0 ml min-1 m-2, mean arterial pressure of less than 55 mmHg sustained for 120 min or longer, new or escalated inotrope/vasopressor infusion, epinephrine bolus of 1 mg or more, or intensive care unit mortality. Prediction models analyzed data 8 h before events. RESULTS: Among 1,555 cases, 185 (12%) experienced 276 deterioration events, most commonly including low cardiac index (7.0% of patients), new inotrope (1.9%), and sustained hypotension (1.4%). The best performing model on the 2013 to 2017 training set yielded a C-statistic of 0.803 (95% CI, 0.799 to 0.807), although performance was substantially lower in the 2017 to 2020 test set (0.709, 0.705 to 0.712). Test set performance of the combined model was greater than corresponding models limited to solely electronic health record features (0.641; 95% CI, 0.637 to 0.646) or waveform features (0.697; 95% CI, 0.693 to 0.701). CONCLUSIONS: Clinical deterioration prediction models combining electronic health record data and waveform data were superior to either modality alone, and performance of combined models was primarily driven by waveform data. Decreased performance of prediction models during temporal validation may be explained by data set shift, a core challenge of healthcare prediction modeling.

Multimodal tensor-based method for integrative and continuous patient monitoring during postoperative cardiac care.

Patients recovering from cardiovascular surgeries may develop life-threatening complications such as hemodynamic decompensation, making the monitoring of patients for such complications an essential component of postoperative care. However, this need has given rise to an inexorable increase in the number and modalities of data points collected, making it challenging to effectively analyze in real time. While many algorithms exist to assist in monitoring these patients, they often lack accuracy and specificity, leading to alarm fatigue among healthcare practitioners. In this study we propose a multimodal approach that incorporates salient physiological signals and EHR data to predict the onset of hemodynamic decompensation. A retrospective dataset of patients recovering from cardiac surgery was created and used to train predictive models. Advanced signal processing techniques were employed to extract complex features from physiological waveforms, while a novel tensor-based dimensionality reduction method was used to reduce the size of the feature space. These methods were evaluated for predicting the onset of decompensation at varying time intervals, ranging from a half-hour to 12 h prior to a decompensation event. The best performing models achieved AUCs of 0.87 and 0.80 for the half-hour and 12-h intervals respectively. These analyses evince that a multimodal approach can be used to develop clinical decision support systems that predict adverse events several hours in advance.

Functional Superior Mesenteric Artery Syndrome Induced by an Optional IVC Filter.

This patient suffered multiple injuries in a motor vehicle crash. She had an optional IVC filter placed in the usual fashion and location which resulted in a functional obstruction of the third part of the duodenum much as one would expect with a Superior Mesenteric Artery (SMA) syndrome. The symptoms persisted over the sixteen-day filter dwell time and resolved completely with the retrieval of the filter.

The role of gender and distance mentoring in the surgical education research fellowship.

OBJECTIVE: The nature of the mentor-mentee relationship is important in the pursuit of successful research projects. The purpose of this study is to evaluate the mentor-mentee relationships in the Surgical Education Research Fellowship (SERF) based on gender and geographical distances regarding program completion. We hypothesize that there are no differences for SERF program completion rates based on gender pairs and distances between pairs. METHODS: This was a retrospective study from 2006 to 2011. Mentor-mentee rosters were retrospectively reviewed for program completion, demographics, and PubMeD indexing. Time zone differences and geographic distances between pairs were found with online applications. Chi-square tests were used for categorical variables and nonparametric statistics were carried out using α = 0.05. RESULTS: Of the 82 individuals accepted into the SERF program, 43 (52%) completed the SERF program during the study period. There were no differences in program completion rates based on fellow gender and gender pairing (all p > 0.05). Different-gender pairs that completed the program (n = 17) were indexed more frequently on PubMed than same-gender pairs that completed the program (n = 24) (41% vs 12%, p = 0.04). There were no differences in program completion based on time zone differences (p = 0.20). The median distance between pairs completing the program (n = 35) was greater than that for pairs not completing the program (n = 36) (1741 km [IQR: 895-3117 km] vs 991 km [IQR: 676-2601 km]; p = 0.03). CONCLUSION: Completion of the SERF program was independent of mentor-mentee gender pairs and time zone differences. There was greater geographical distance separating mentor-mentee pairs that completed the SERF program compared with pairs that did not complete the program. Distance mentoring is a successful and crucial element of the SERF program.