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Introduction Propofol is a widely used sedative-hypnotic agent for critically ill patients requiring invasive mechanical ventilation (IMV). Despite its clinical benefits, propofol is associated with increased risks of hypertriglyceridemia. Early identification of patients at risk for propofol-associated hypertriglyceridemia is crucial for optimising sedation strategies and preventing adverse outcomes. Machine-learning (ML) models offer a promising approach for predicting individualised patient risks of propofol-associated hypertriglyceridemia. Methods and analysis We propose the development of an ML model aimed at predicting the risk of propofol-associated hypertriglyceridemia in ICU patients receiving IMV. The study will use retrospective data from four Mayo Clinic sites. Nested cross validation (CV) will be employed, with a tenfold inner CV loop for model tuning and selection as well as an outer loop using leave-one-site-out CV for external validation. Feature selection will be conducted using Boruta and least absolute shrinkage and selection operator-penalised logistic regression. Data preprocessing steps include missing data imputation, feature scaling and dimensionality reduction techniques. Six ML algorithms will be tuned and evaluated. Bayesian optimisation will be used for hyperparameter selection. Global model explainability will be assessed using permutation importance, and local model explainability will be assessed using SHapley Additive exPlanations. Ethics and dissemination The proposed ML model aims to provide a reliable and interpretable tool for clinicians to predict the risk of propofol-associated hypertriglyceridemia in ICU patients. The final model will be deployed in a web-based clinical risk calculator. The model development process and performance measures obtained during nested CV will be described in a study publication to be disseminated in a peer-reviewed journal. The proposed study has received ethics approval from the Mayo Clinic Institutional Review Board (IRB #23–0 07 416).

Purpose: This study evaluated the predictive value of SCAI shock staging for mortality in patients with sepsis and septic shock admitted to the medical ICU. Materials and Methods: This is a single-center historical cohort study. We analyzed data for adults (≥ 18-year-old) admitted to the medical ICU at Mayo Clinic St. Mary’s campus with sepsis between June 1, 2018, and December 31, 2021. Sepsis was identified using the Sepsis-III criteria. Patients were stratified based on SCAI shock staging. Our primary outcome was all-cause 30-day mortality. Results: We identified 3,079 eligible adult patients with sepsis or septic shock. The distribution of SCAI shock stages A through E was 9%, 12%, 25%, 49%, and 5%, respectively. The overall 30-day mortality was 24%. There was progression in all outcomes including ICU, hospital and 30-day mortality across SCAI shock stages. However, only SCAI shock stages D and E, had statistically significant adjusted HRs of 1.6 and 3, respectively. When compared to SOFA score, SCAI shock staging performed similarly in predicting ICU mortality with no statistically significant difference in AUCs, p-value of 0.07. Conclusions: Our results support the use of SCAI shock staging in critically ill medical patients with sepsis and septic shock for risk stratification. We propose that the SCAI shock staging may be used as a universal system for grading the severity of shock in critically ill patients regardless of etiology.

Background The Minnesota Retaining Employment and Talent After Injury and Illness Network (MN RETAIN) is a randomized controlled study designed to evaluate early interventions promoting workforce retention among workers in Minnesota. The study compares a cohort receiving increased support for stay at work and return to work (SAW/RTW) services from healthcare organizations and resources through workforce development to a control cohort provided solely a list of SAW/RTW resources within the state they can access on their own. Objective This manuscript aims to describe the design of the MN RETAIN Phase 2 study and experience to date including enrollment. Target enrollment for Phase 2 of MN RETAIN is 3200 workers with approximately half receiving SAW/RTW services from a Return-to-Work Case Manager (RWTCM) who is embedded within the healthcare team. MN RETAIN is structured to be accessible to all workers within the state, with a focus on equity and reaching historically underserved populations. Methods Phase 2 of the RETAIN model expanded the focus from the southeast region of MN to state-wide coverage. Enrollment and services were designed to acquire a large enough cohort to reach adequate statistical power to detect differences in disability costs and rates of SAW/RTW in participating study subjects. Impact analysis of RETAIN will be performed by the federal evaluator at a future date. Results Characteristics of enrolled participants to date are summarized as well as considerations for sustainability of the program upon study completion. Conclusions To date, the study has reached diverse workers from throughout the state of MN to provide assistance with SAW/RTW.

AbstractPurposeOverall there is a lack of evidence on the accuracy and precision of phase‐contrast (PC) MRI in patients with cardiac implantable electronic devices (CIEDs). The purpose of this study is to determine whether aortic velocity measurements are influenced by a CIED.MethodsWe scanned 21 adult patients and 8 pediatric volunteers using clinical standard PC and real‐time PC (rt‐PC) sequences with and without a CIED generator taped on human subjects (below the left clavicle for adults and children; also on the abdomen for children) to mimic image artifacts. Peak and mean velocities above the aortic valve were calculated.ResultsThe Bland–Altman analyses on peak velocity measurements in pediatric subjects showed that both the accuracy and precision worsen as the distance between the CIED and aortic valve decreases (i.e., from abdomen to below the left clavicle). Specifically, both the bias and the coefficient of variation (CV) for both clinical PC and rt‐PC increased from the abdominal position (clinical: bias = −1.1%, CV = 4.3%; rt‐PC: bias = −0.3%, CV = 3.4%) to the clavicle position (clinical: bias = −4.0%, CV = 8.1%; rt‐PC: bias = 8.2%, CV = 7.3%). A similar trend was observed for mean velocity. The mean difference in peak and mean velocity measurements between rt‐PC with CIED (either position) and clinical standard PC with no CIED was within 7.5%. In adult patients, the mean difference between rt‐PC with CIED and clinical standard PC with CIED in peak velocity was 6.9%, and the CV was 7.9%.ConclusionThis study demonstrates that aortic velocity measurements are influenced by CIED in both adult and pediatric subjects.

Abstract Background The extravascular implantable cardioverter defibrillator (EV ICD) has recently emerged as an option for guideline indicated ICD patients. Results from the EV ICD Pilot and Pivotal studies demonstrated that the device can provide safe and effective therapy through chronic follow up. Lead placement outside the vasculature has the potential to reduce systemic infections. Infection occurrence and management details from the Pivotal are reported. Purpose To report on details of infection occurrence and management from the EV ICD Pivotal study. Methods The EV ICD Pivotal study was an international, prospective, single-arm, premarket clinical study. Patients with a class I or IIa indication for a single-chamber ICD per ESC or ACC/AHA/HRS guidelines were enrolled. Results In the EV ICD Pivotal study, 316 patients had an implant attempt, (74.7% male, age 53.8±13.1 years, 82% primary prevention, LVEF of 38.9%±15.4%, and NYHA Class I [23.7%] or II/III [65.5%]), of which 15 had a system or procedure-related infection (4.7%, 9 - 737 days post-implant) through an average 16.2 months follow-up. Of these infections, 8 were classified as major complications, 3 as minor, and 4 as observations. Most (n=9) infections were addressed through medication with or without wound care (2.8% of patients) while 6 (1.9% of patients) resulted in system removal. There was a single lead-related infection addressed through system explant. However, there were no reports of mediastinitis, sepsis, or endocarditis. No system removal resulted in sequelae. Conclusions Infection rates observed in the EV ICD Pivotal study were similar to those reported in the subcutaneous implantable cardioverter defibrillator. The results from this study support that EV ICD related infections are treatable with antibiotic therapy or system removal. No system or procedure-related systemic infections such as mediastinitis, sepsis, or endocarditis have been reported in the Pivotal study.

BACKGROUND: Substernal lead placement of the extravascular implantable cardioverter defibrillator (EV ICD) permits both defibrillation at thresholds similar to those seen with transvenous implantable cardioverter defibrillators and effective anti-tachycardia pacing (ATP) while avoiding the vasculature and associated complications. The global Pivotal study has shown the EV ICD system to be safe and effective through 6 months, but long-term experience has yet to be published. Our aim was to report the performance and safety of the EV ICD system throughout the study. METHODS: The EV ICD Pivotal study was a prospective, global, single-arm, premarket clinical study. Individuals with a Class I or IIa indication for a single-chamber implantable cardioverter defibrillator per guidelines were enrolled. Freedom from major system- or procedure-related complications and appropriate and inappropriate therapy rates were assessed through 3 years with the Kaplan-Meier method. ATP success was calculated from simple proportions. RESULTS: An implantation was attempted in 316 patients (25.3% female; 53.8±13.1 years of age; 81.6% primary prevention; left ventricular ejection fraction, 38.9±15.4%). Of 299 patients with a successful implantation, 24 experienced 82 spontaneous arrhythmic episodes that were appropriately treated with ATP only (38, 46.3%), shock only (34, 41.5%), or both (10, 12.2%) for a Kaplan-Meier–estimated rate of first any appropriate therapy of 9.2% at 3 years. ATP was successful in 77.1% (37/48) of episodes, and ATP use significantly increased from discharge to last follow-up visit ( P <0.0001). Shock therapy was successful in 100% (27/27) of discrete, spontaneous ventricular arrhythmias. The inappropriate shock rates at 1 and 3 years were 9.8% and 17.5%, respectively, with P-wave oversensing the predominant cause. No major intraprocedural complications were reported, and the estimated freedom from system- or procedure-related major complications was 91.9% at 1 year and 89.0% at 3 years. The most common major complications were lead dislodgement (10 events; n=9 patients, 2.8%), postoperative wound or device pocket infection (n=8, 2.5%), and device inappropriate shock delivery (n=4, 1.3%). Twenty-four system revisions were performed as a result of major complications related to the EV ICD system or procedure. CONCLUSIONS: From implantation to study completion, the EV ICD Pivotal study demonstrated that a single integrated system with an extravascular lead placed in the substernal space maintains high ATP success, effective defibrillation, and a consistent safety profile. REGISTRATION: URL: https://www.clinicaltrials.gov ; Unique identifier: NCT04060680.

Point of care ultrasound (POCUS) has been a constantly evolving and growing tool utilized by emergency medicine and intensive care practitioners. Ultrasound use for the assessment and management of critically ill patients has been available for several decades with the focused assessment with sonography in trauma (FAST) exam being one of the first widely adopted POCUS protocols. This along with other established protocols has made an impact on the care delivered to critically ill patients. This narrative review will cover some of the history of POCUS in the emergency department, brief considerations for machines and infrastructure, and current uses including in trauma, shock/hypotension, cardiac arrest, dyspnea, abdomen, vascular, and procedural guidance. Furthermore, it will provide a review of the evidence supporting its efficacy in managing critically ill patients and future directions.