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OBJECTIVES:. Inadequate self-efficacy of resuscitation team members may impair team performance, but high self-efficacy does not guarantee competence. We evaluated the relationship between individual self-efficacy and resuscitation team competence. DESIGN:. Secondary analysis of a randomized controlled trial. SETTING:. High-fidelity in situ in-hospital cardiac arrest simulations at seven hospitals in Utah. SUBJECTS:. Multidisciplinary cardiac arrest resuscitation team members. INTERVENTIONS:. None. MEASUREMENTS AND MAIN RESULTS:. Resuscitation team members completed surveys evaluating resuscitation self-efficacy (confidence in resuscitation role, difficulty thinking clearly, and concerns about committing errors) after each simulation. The primary outcome was event-level chest compression hands-on fraction greater than 75%. Secondary outcomes included other measures of resuscitation quality, advanced cardiac life support protocol adherence, and nontechnical team performance. Analyses employed the Datta-Satten rank-sum method to account for response clustering within simulation events. Of 923 participants in 76 analyzable simulations, 612 (66%) submitted complete surveys and 33 (43%) resuscitation teams achieved hands-on fraction greater than 75%. Event-level chest compression hands-on fraction greater than 75% versus less than or equal to 75% was not associated with the percentage of resuscitation team members reporting confidence in their team role (n = 213 [74%] vs. n = 251 [77%], respectively, p = 0.18), lack of difficulty thinking clearly (n = 186 [65%] vs. n = 214 [66%], p = 0.92), or lack of worry about making errors (n = 155 [54%] vs. n = 180 [55%], p = 0.41). Team members’ confidence was also not associated with secondary outcomes, except that teams with confident members had better values for composite (3.55 [interquartile range, IQR 3.00–3.82] vs. 3.18 [IQR 2.57–3.64], p = 0.024) and global (8 [7–9] vs. 8 [6–8], p = 0.029) scales measuring nontechnical team performance. CONCLUSIONS:. Team members’ self-efficacy was not associated with most team-level competence metrics during simulated cardiac arrest resuscitation. These data suggest that self-efficacy should have a limited role for evaluation of resuscitation training programs and for initial certification and monitoring of individual resuscitation team members’ competence.

IMPORTANCE:. Troponin I is frequently elevated in sepsis, but optimal clinical approaches to diagnosis and management of troponin I during sepsis are unclear. OBJECTIVES:. We aimed to describe the variation in troponin I measurement and the cardiovascular diagnostic and therapeutic approach to elevated troponin I among critically ill adults with sepsis. DESIGN, SETTING, AND PARTICIPANTS:. Observational cohort study of the hospital-level variation in serial troponin I measurement, trending troponin I to peak, echocardiography, cardiac stress test, cardiac catheterization, antiplatelet agents, therapeutic anticoagulation, beta-blockers, and statins quantified using hospital median odds ratios—the median odds of receiving an intervention at randomly selected higher versus lower rate hospitals—derived from multivariable-adjusted random-effects logistic regression models with hospital site as the random effect. The Premier Healthcare Database was used. Patients were adults aged greater than 18 years admitted to the ICU with sepsis from 2016 to 2020. MAIN OUTCOMES AND MEASURES:. The hospital-level median odds ratios of troponin I measurement as well as cardiovascular diagnostics and therapeutics. RESULTS:. Among 85,830 adults with sepsis, 53,058 (61.8%) had a troponin I measured, with a median odds ratio of troponin measurement across hospitals of 5.30 (95% CI, 4.98–5.67). Among 27,665 adults (32.2%) with sepsis and an elevated troponin I level, 84.8% had serial troponin I measurements, 66.0% had troponin trended to peak level, 66.7% had an echocardiogram, 4.1% had a cardiac stress test, 6.6% underwent cardiac catheterization, 48.3% received antiplatelet agents, 8.3% received therapeutic anticoagulation, 50.5% received beta-blockers, and 38.1% received statins. The median odds ratios between hospitals for cardiovascular diagnostics and therapeutics ranged from 1.28 (95% CI, 1.24–1.32) for use of beta-blockers to 7.58 (95% CI, 6.43–8.77) for use of therapeutic anticoagulation. CONCLUSIONS AND RELEVANCE:. Both troponin I measurement and the approach to an elevated troponin I among critically ill adults with sepsis varied widely across hospitals consistent with disparate practice and care efficiency. Prospective studies are needed to guide an informed approach to troponin I measurement and cardiovascular evaluation in sepsis.

IMPORTANCE:. Mechanical power and driving pressure have known associations with survival for patients with acute respiratory distress syndrome. OBJECTIVES:. To further understand the relative importance of mechanical power and driving pressure as clinical targets for ventilator management. DESIGN:. Secondary observational analysis of randomized clinical trial data. SETTING AND PARTICIPANTS:. Patients with the acute respiratory distress syndrome from three Acute Respiratory Distress Syndrome Network trials. MAIN OUTCOMES AND MEASURES:. After adjusting for patient severity in a multivariate Cox proportional hazards model, we examined the relative association of driving pressure and mechanical power with hospital mortality. Among 2,410 patients, the relationship between driving pressure and mechanical power with mortality was modified by respiratory rate, positive end-expiratory pressure, and flow. RESULTS:. Among patients with low respiratory rate (< 26), only power was significantly associated with mortality (power [hazard ratio, 1.82; 95% CI, 1.41–2.35; p < 0.001] vs driving pressure [hazard ratio, 1.01; 95% CI, 0.84–1.21; p = 0.95]), while among patients with high respiratory rate, neither was associated with mortality. Both power and driving pressure were associated with mortality at high airway flow (power [hazard ratio, 1.28; 95% CI, 1.15–1.43; p < 0.001] vs driving pressure [hazard ratio, 1.15; 95% CI, 1.01–1.30; p = 0.041]) and neither at low flow. At low positive end-expiratory pressure, neither was associated with mortality, whereas at high positive end-expiratory pressure (≥ 10 cm H2O), only power was significantly associated with mortality (power [hazard ratio, 1.22; 95% CI, 1.09–1.37; p < 0.001] vs driving pressure [hazard ratio, 1.16; 95% CI, 0.99–1.35; p = 0.059]). CONCLUSIONS AND RELEVANCE:. The relationship between mechanical power and driving pressure with mortality differed within severity subgroups defined by positive end-expiratory pressure, respiratory rate, and airway flow.

Objectives:. Given finite ICU bed capacity, knowledge of ICU bed utilization during the coronavirus disease 2019 pandemic is critical to ensure future strategies for resource allocation and utilization. We sought to examine ICU census trends in relation to ICU bed capacity during the rapid increase in severe coronavirus disease 2019 cases early during the pandemic. Design:. Observational cohort study. Setting:. Thirteen geographically dispersed academic medical centers in the United States. Patients/Subjects:. We obtained daily ICU censuses from March 26 to June 30, 2020, as well as prepandemic ICU bed capacities. The primary outcome was daily census of ICU patients stratified by coronavirus disease 2019 and mechanical ventilation status in relation to ICU capacity. Interventions:. None. Measurements and Main Results:. Prepandemic overall ICU capacity ranged from 62 to 225 beds (median 109). During the study period, the median daily coronavirus disease 2019 ICU census per hospital ranged from 1 to 84 patients, and the daily ICU census exceeded overall ICU capacity for at least 1 day at five institutions. The number of critically ill patients exceeded ICU capacity for a median (interquartile range) of 17 (12–50) of 97 days at these five sites. All 13 institutions experienced decreases in their noncoronavirus disease ICU population, whereas local coronavirus disease 2019 cases increased. Coronavirus disease 2019 patients reached their greatest proportion of ICU capacity on April 12, 2020, when they accounted for 44% of ICU patients across all participating hospitals. Maximum ICU census ranged from 52% to 289% of overall ICU capacity, with three sites less than 80%, four sites 80–100%, five sites 100–128%, and one site 289%. Conclusions:. From March to June 2020, the coronavirus disease 2019 pandemic led to ICU censuses greater than ICU bed capacity at fives of 13 institutions evaluated. These findings demonstrate the short-term adaptability of U.S. healthcare institutions in redirecting limited resources to accommodate a public health emergency.