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OBJECTIVES: Transitions to new care environments may have unexpected consequences that threaten patient safety. We undertook a quality improvement project using in situ simulation to learn the new patient care environment and expose latent safety threats before transitioning patients to a newly built adult ICU. DESIGN: Descriptive review of a patient safety initiative. SETTING: A newly built 24-bed neurocritical care unit at a tertiary care academic medical center. SUBJECTS: Care providers working in neurocritical care unit. INTERVENTIONS: We implemented a pragmatic three-stage in situ simulation program to learn a new patient care environment, transitioning patients from an open bay unit to a newly built private room-based ICU. The project tested the safety and efficiency of new workflows created by new patient- and family-centric features of the unit. We used standardized patients and high-fidelity mannequins to simulate patient scenarios, with "test" patients created through all electronic databases. Relevant personnel from clinical and nonclinical services participated in simulations and/or observed scenarios. We held a debriefing after each stage and scenario to identify safety threats and other concerns. Additional feedback was obtained via a written survey sent to all participants. We prospectively surveyed for missed latent safety threats for 2 years following the simulation and fixed issues as they arose. MEASUREMENTS AND MAIN RESULTS: We identified and addressed 70 latent safety threats, including issues concerning physical environment, infection prevention, patient workflow, and informatics before the move into the new unit. We also developed an orientation manual that highlighted new physical and functional features of the ICU and best practices gleaned from the simulations. All participants agreed or strongly agreed that simulations were beneficial. Two-year follow-up revealed only two missed latent safety threats. CONCLUSIONS: In situ simulation effectively identifies latent safety threats surrounding the transition to new ICUs and should be considered before moving into new units. [ABSTRACT FROM AUTHOR]

OBJECTIVES: To define consensus entrustable professional activities (EPAs) for neurocritical care (NCC) advanced practice providers (APPs), establish validity evidence for the EPAs, and evaluate factors that inform entrustment expectations of NCC APP supervisors. DESIGN: A three-round modified Delphi consensus process followed by application of the EQual rubric and assessment of generalizability by clinicians not affiliated with academic medical centers. SETTING: Electronic surveys. SUBJECTS: NCC APPs (n = 18) and physicians (n = 12) in the United States with experience in education scholarship or APP program leadership. INTERVENTIONS: None. MEASUREMENTS AND MAIN RESULTS: The steering committee generated an initial list of 61 possible EPAs. The panel proposed 30 additional EPAs. A total of 47 unique nested EPAs were retained by consensus opinion. The steering committee defined six core EPAs addressing medical knowledge, procedural competencies, and communication proficiency which encompassed the nested EPAs. All core EPAs were retained and subsequently met the previously described cut score for quality and structure using the EQual rubric. Most clinicians who were not affiliated with academic medical centers rated each of the six core EPAs as very important or mandatory. Entrustment expectations did not vary by prespecified groups. CONCLUSIONS: Expert consensus was used to create EPAs for NCC APPs that reached a predefined quality standard and were important to most clinicians in different practice settings. We did not identify variables that significantly predicted entrustment expectations. These EPAs may aid in curricular design for an EPA-based assessment of new NCC APPs and may inform the development of EPAs for APPs in other critical care subspecialties. [ABSTRACT FROM AUTHOR]

OBJECTIVES: Impaired nitric oxide (NO) bioavailability may contribute to microvascular dysfunction in sepsis. Excessive plasma NO consumption has been attributed to scavenging by circulating cell-free hemoglobin. This may be a mechanism for NO deficiency in sepsis and critical illness. We hypothesized that plasma NO consumption is high in critically ill patients, particularly those with sepsis, acute respiratory distress syndrome (ARDS), shock, and in hospital nonsurvivors. We further hypothesized that plasma NO consumption is correlated with plasma cell-free hemoglobin concentration. DESIGN: Retrospective cohort study. SETTING: Adult ICUs of an academic medical center. PATIENTS AND SUBJECTS: Three hundred sixty-two critically ill patients and 46 healthy control subjects. INTERVENTIONS: None. MEASUREMENTS AND MAIN RESULTS: Plasma NO consumption was measured using reductive chemiluminescence and cell-free hemoglobin was measured with a colorimetric assay. Mean (95% CI) plasma NO consumption (µM) was higher in critically ill patients versus healthy control subjects (3.9 [3.7– 4.1] vs 2.1 [1.8–2.5]), septic versus nonseptic patients (4.1 [3.8–4.3] vs 3.6 [3.3–3.8]), ARDS versus non-ARDS patients (4.4 [4.0–4.9] vs 3.7 [3.6–3.9]), shock vs nonshock patients (4.4 [4.0–4.8] vs 3.6 [3.4–3.8]), and hospital nonsurvivors versus survivors (5.3 [4.4–6.4] vs 3.7 [3.6–3.9]). These relationships remained significant in multivariable analyses. Plasma cell-free hemoglobin was weakly correlated with plasma NO consumption. CONCLUSIONS: Plasma NO consumption is elevated in critically ill patients and independently associated with sepsis, ARDS, shock, and hospital death. These data suggest that excessive intravascular NO scavenging characterizes sepsis and adverse outcomes of critical illness. [ABSTRACT FROM AUTHOR]

OBJECTIVES: Hedge language is a category of language that refers to words or phrases that make statements "fuzzier." We sought to understand how physicians use hedge language during goals-of-care conferences in the ICU. DESIGN: Secondary analysis of transcripts of audio-recorded goals-of-care conferences in the ICU. SETTING: Thirteen ICUs at six academic and community medical centers in the United States. PATIENTS: Conferences were between clinicians and surrogates of incapacitated, critically ill adults. INTERVENTIONS: Four investigators performed a qualitative content analysis of transcripts using deductive followed by inductive methods to identify types of hedge language used by physicians, then coded all instances of hedge language across 40 transcripts to characterize general patterns in usage. MEASUREMENTS AND MAIN RESULTS: We identified 10 types of hedge language: numeric probabilistic statement ("there's an 80% chance"), qualitative probabilistic statement ("there's a good chance"), nonprobabilistic uncertainty statement ("hard to say for her"), plausibility shield ("we expect"), emotion-based statement ("we're concerned"), attribution shield ("according to Dr. X"), adaptor ("sort of"), metaphor ("the chips are stacking up against her"), time reference ("too soon to tell"), and contingency statement ("if we are lucky"). For most types of hedge language, we identified distinct subtypes. Physicians used hedge language frequently in every transcript (median: 74 hedges per transcript) to address diagnosis, prognosis, and treatment. We observed large variation in how frequently each type and subtype of hedge language was used. CONCLUSIONS: Hedge language is ubiquitous in physician-surrogate communication during goals-of-care conferences in the ICU and can be used to introduce vagueness to statements in ways beyond expressing uncertainty. It is not known how hedge language impacts decision-making or clinician-surrogate interactions. This study prioritizes specific types of hedge language for future research based on their frequency and novelty. [ABSTRACT FROM AUTHOR]

OBJECTIVES: A unilateral do-not-resuscitate (UDNR) order is a do-not-resuscitate order placed using clinician judgment which does not require consent from a patient or surrogate. This study assessed how UDNR orders were used during the COVID-19 pandemic. DESIGN: We analyzed a retrospective cross-sectional study of UDNR use at two academic medical centers between April 2020 and April 2021. SETTING: Two academic medical centers in the Chicago metropolitan area. PATIENTS: Patients admitted to an ICU between April 2020 and April 2021 who received vasopressor or inotropic medications to select for patients with high severity of illness. INTERVENTIONS: None. MEASUREMENTS AND MAIN RESULTS: The 1,473 patients meeting inclusion criteria were 53% male, median age 64 (interquartile range, 54–73), and 38% died during admission or were discharged to hospice. Clinicians placed do not resuscitate orders for 41% of patients (n = 604/1,473) and UDNR orders for 3% of patients (n = 51/1,473). The absolute rate of UDNR orders was higher for patients who were primary Spanish speaking (10% Spanish vs 3% English; p ≤ 0.0001), were Hispanic or Latinx (7% Hispanic/Latinx vs 3% Black vs 2% White; p = 0.003), positive for COVID-19 (9% vs 3%; p ≤ 0.0001), or were intubated (5% vs 1%; p = 0.001). In the base multivariable logistic regression model including age, race/ethnicity, primary language spoken, and hospital location, Black race (adjusted odds ratio [aOR], 2.5; 95% CI, 1.3–4.9) and primary Spanish language (aOR, 4.4; 95% CI, 2.1–9.4) had higher odds of UDNR. After adjusting the base model for severity of illness, primary Spanish language remained associated with higher odds of UDNR order (aOR, 2.8; 95% CI, 1.7–4.7). CONCLUSIONS: In this multihospital study, UDNR orders were used more often for primary Spanish-speaking patients during the COVID-19 pandemic, which may be related to communication barriers Spanish-speaking patients and families experience. Further study is needed to assess UDNR use across hospitals and enact interventions to improve potential disparities. [ABSTRACT FROM AUTHOR]

Objectives: In the early phase of severe acute brain injury (SABI), surrogate decision-makers must make treatment decisions in the face of prognostic uncertainty. Evidence-based strategies to communicate uncertainty and support decision-making are lacking. Our objective was to better understand surrogate experiences and needs during the period of active decision-making in SABI, to inform interventions to support SABI patients and families and improve clinician-surrogate communication. Design: We interviewed surrogate decision-makers during patients' acute hospitalization for SABI, as part of a larger (n = 222) prospective longitudinal cohort study of patients with SABI and their family members. Constructivist grounded theory informed data collection and analysis. Setting: One U.S. academic medical center. Patients: We iteratively collected and analyzed semistructured interviews with 22 surrogates for 19 patients. Interventions: None. Measurements and Main Results: Through several rounds of coding, interview notes, reflexive memos, and group discussion, we developed a thematic model describing the relationship between surrogate perspectives on decision-making and surrogate experiences of prognostic uncertainty. Patients ranged from 20 to 79 years of age (mean = 55 years) and had primary diagnoses of stroke (n = 13; 68%), traumatic brain injury (n = 5; 26%), and anoxic brain injury after cardiac arrest (n = 1; 5%). Patients were predominantly male (n = 12; 63%), whereas surrogates were predominantly female (n = 13; 68%). Two distinct perspectives on decision-making emerged: one group of surrogates felt a clear sense of agency around decision-making, whereas the other group reported a more passive role in decision-making, such that they did not even perceive there being a decision to make. Surrogates in both groups identified prognostic uncertainty as the central challenge in SABI, but they managed it differently. Only surrogates who felt they were actively deciding described time-limited trials as helpful. Conclusions: In this qualitative study, not all surrogate "decision-makers" viewed themselves as making decisions. Nearly all struggled with prognostic uncertainty. Our findings underline the need for longitudinal prognostic communication strategies in SABI targeted at surrogates' current perspectives on decision-making. [ABSTRACT FROM AUTHOR]

OBJECTIVES: Implementing a predictive analytic model in a new clinical environment is fraught with challenges. Dataset shifts such as differences in clinical practice, new data acquisition devices, or changes in the electronic health record (EHR) implementation mean that the input data seen by a model can differ significantly from the data it was trained on. Validating models at multiple institutions is therefore critical. Here, using retrospective data, we demonstrate how Predicting Intensive Care Transfers and other UnfoReseen Events (PICTURE), a deterioration index developed at a single academic medical center, generalizes to a second institution with significantly different patient population. DESIGN: PICTURE is a deterioration index designed for the general ward, which uses structured EHR data such as laboratory values and vital signs. SETTING: The general wards of two large hospitals, one an academic medical center and the other a community hospital. SUBJECTS: The model has previously been trained and validated on a cohort of 165,018 general ward encounters from a large academic medical center. Here, we apply this model to 11,083 encounters from a separate community hospital. INTERVENTIONS: None. MEASUREMENTS AND MAIN RESULTS: The hospitals were found to have significant differences in missingness rates (> 5% difference in 9/52 features), deterioration rate (4.5% vs 2.5%), and racial makeup (20% non-White vs 49% non-White). Despite these differences, PICTURE's performance was consistent (area under the receiver operating characteristic curve [AUROC], 0.870; 95% CI, 0.861–0.878), area under the precision-recall curve (AUPRC, 0.298; 95% CI, 0.275–0.320) at the first hospital; AUROC 0.875 (0.851–0.902), AUPRC 0.339 (0.281–0.398) at the second. AUPRC was standardized to a 2.5% event rate. PICTURE also outperformed both the Epic Deterioration Index and the National Early Warning Score at both institutions. CONCLUSIONS: Important differences were observed between the two institutions, including data availability and demographic makeup. PICTURE was able to identify general ward patients at risk of deterioration at both hospitals with consistent performance (AUROC and AUPRC) and compared favorably to existing metrics. [ABSTRACT FROM AUTHOR]

OBJECTIVES: Identifying modifiable risk factors associated with central line-associated bloodstream infections (CLABSIs) may lead to modifications to central line (CL) management. We hypothesize that the number of CL accesses per day is associated with an increased risk for CLABSI and that a significant fraction of CL access may be substituted with non-CL routes. DESIGN: We conducted a retrospective cohort study of patients with at least one CL device day from January 1, 2015, to December 31, 2019. A multivariate mixed-effects logistic regression model was used to estimate the association between the number of CL accesses in a given CL device day and prevalence of CLABSI within the following 3 days. SETTING: A 395-bed pediatric academic medical center. PATIENTS: Patients with at least one CL device day from January 1, 2015, to December 31, 2019. INTERVENTIONS: None. MEASUREMENTS AND MAIN RESULTS: There were 138,411 eligible CL device days across 6,543 patients, with 639 device days within 3 days of a CLABSI (a total of 217 CLABSIs). The number of per-day CL accesses was independently associated with risk of CLABSI in the next 3 days (adjusted odds ratio, 1.007; 95% CI, 1.003–1.012; p = 0.002). Of medications administered through CLs, 88% were candidates for delivery through a peripheral line. On average, these accesses contributed a 6.3% increase in daily risk for CLABSI. CONCLUSIONS: The number of daily CL accesses is independently associated with risk of CLABSI in the next 3 days. In the pediatric population examined, most medications delivered through CLs could be safely administered peripherally. Efforts to reduce CL access may be an important strategy to include in contemporary CLABSI-prevention bundles. [ABSTRACT FROM AUTHOR]

OBJECTIVES: Withdrawal of life-sustaining therapies for perceived poor neurologic prognosis (WLST-N) is common after resuscitation from cardiac arrest and may bias outcome estimates from models trained using observational data. We compared several approaches to outcome prediction with the goal of identifying strategies to quantify and reduce this bias. DESIGN: Retrospective observational cohort study. SETTING: Two academic medical centers ("UPMC" and "University of Alabama Birmingham" [UAB]). PATIENTS: Comatose adults resuscitated from cardiac arrest. INTERVENTION: None. MEASUREMENTS AND MAIN RESULTS: As potential predictors, we considered clinical, laboratory, imaging, and quantitative electroencephalography data available early after hospital arrival. We followed patients until death, discharge, or awakening from coma. We used penalized Cox regression with a least absolute shrinkage and selection operator penalty and five-fold cross-validation to predict time to awakening in UPMC patients and then externally validated the model in UAB patients. This model censored patients after WLST-N, considering subsequent potential for awakening to be unknown. Next, we developed a penalized logistic model predicting awakening, which treated failure to awaken after WLST-N as a true observed outcome, and a separate logistic model predicting WLST-N. We scaled and centered individual patients' Cox and logistic predictions for awakening to allow direct comparison and then explored the difference in predictions across probabilities of WLST-N. Overall, 1,254 patients were included, and 29% awakened. Cox models performed well (mean area under the curve was 0.93 in the UPMC test sets and 0.83 in external validation). Logistic predictions of awakening were systematically more pessimistic than Cox-based predictions for patients at higher risk of WLST-N, suggesting potential for self-fulfilling prophecies to arise when failure to awaken after WLST-N is considered as the ground truth outcome. CONCLUSIONS: Compared with traditional binary outcome prediction, censoring outcomes after WLST-N may reduce potential for bias and self-fulfilling prophecies. [ABSTRACT FROM AUTHOR]

OBJECTIVES: During the COVID-19 pandemic, ICU professionals have faced moral problems that may cause moral injury. This study explored whether, how, and when moral injury among ICU professionals developed in the course of the COVID-19 pandemic. DESIGN: This is a prospective qualitative serial interview study. SETTING: Two hospitals among which one university medical center and one teaching hospital in the Netherlands. SUBJECTS: Twenty-six ICU professionals who worked during the COVID-19 pandemic. INTERVENTIONS: None. MEASUREMENTS MAIN RESULTS: In-depth interviews with follow-up after 6 and 12 months. In total, 62 interviews were conducted. ICU professionals narrated about anticipatory worry about life and death decisions, lack of knowledge and prognostic uncertainty about COVID-19, powerlessness and failure, abandonment or betrayal by society, politics, or the healthcare organization, numbness toward patients and families, and disorientation and self-alienation. Centrally, ICU professionals describe longitudinal processes by which they gradually numbed themselves emotionally from patients and families as well as potentially impactful events in their work. For some ICU professionals, organizational, societal, and political responses to the pandemic contributed to numbness, loss of motivation, and self-alienation. CONCLUSIONS: ICU professionals exhibit symptoms of moral injury such as feelings of betrayal, detachment, self-alienation, and disorientation. Healthcare organizations and ICU professionals themselves should be cognizant that these feelings may indicate that professionals might have developed moral injury or that it may yet develop in the future. Awareness should be raised about moral injury and should be followed up by asking morally injured professionals what they need, so as to not risk offering unwanted help. [ABSTRACT FROM AUTHOR]

Objectives: Sepsis causes significant mortality. However, most patients who die of sepsis do not present with severe infection, hampering efforts to deliver early, aggressive therapy. It is also known that the host gene expression response to infection precedes clinical illness. This study seeks to develop transcriptomic models to predict progression to sepsis or shock within 72 hours of hospitalization and to validate previously identified transcriptomic signatures in the prediction of 28-day mortality.Design: Retrospective differential gene expression analysis and predictive modeling using RNA sequencing data.Patients: Two hundred seventy-seven patients enrolled at four large academic medical centers; all with clinically adjudicated infection were considered for inclusion in this study.Measurements and Main Results: Sepsis progression was defined as an increase in Sepsis 3 category within 72 hours. Transcriptomic data were generated using RNAseq of whole blood. Least absolute shrinkage and selection operator modeling was used to identify predictive signatures for various measures of disease progression. Four previously identified gene signatures were tested for their ability to predict 28-day mortality. There were no significant differentially expressed genes in 136 subjects with worsened Sepsis 3 category compared with 141 nonprogressor controls. There were 1,178 differentially expressed genes identified when sepsis progression was defined as ICU admission or 28-day mortality. A model based on these genes predicted progression with an area under the curve of 0.71. Validation of previously identified gene signatures to predict sepsis mortality revealed area under the receiver operating characteristic values of 0.70-0.75 and no significant difference between signatures.Conclusions: Host gene expression was unable to predict sepsis progression when defined by an increase in Sepsis-3 category, suggesting this definition is not a useful framework for transcriptomic prediction methods. However, there was a differential response when progression was defined as ICU admission or death. Validation of previously described signatures predicted 28-day mortality with insufficient accuracy to offer meaningful clinical utility. [ABSTRACT FROM AUTHOR]

Objectives: In mechanically ventilated patients, awareness with paralysis (AWP) can have devastating consequences, including post-traumatic stress disorder (PTSD), depression, and thoughts of suicide. Single-center data from the emergency department (ED) demonstrate an event rate for AWP factors higher than that reported from the operating room. However, there remains a lack of data on AWP among critically ill, mechanically ventilated patients. The objective was to assess the proportion of ED patients experiencing AWP and investigate modifiable variables associated with its occurrence.Design: An a priori planned secondary analysis of a multicenter, prospective, before-and-after clinical trial.Setting: The ED of three academic medical centers.Patients: Mechanically ventilated adult patients that received neuromuscular blockers.Interventions: None.Measurements and Main Results: All data related to sedation and analgesia were collected. AWP was the primary outcome, assessed with the modified Brice questionnaire, and was independently adjudicated by three expert reviewers. Perceived threat, in the causal pathway for PTSD, was the secondary outcome. A total of 388 patients were studied. The proportion of patients experiencing AWP was 3.4% ( n = 13), the majority of whom received rocuronium ( n = 12/13; 92.3%). Among patients who received rocuronium, 5.5% ( n = 12/230) experienced AWP, compared with 0.6% ( n = 1/158) among patients who did not receive rocuronium in the ED (odds ratio, 8.64; 95% CI, 1.11-67.15). Patients experiencing AWP had a higher mean ( sd ) threat perception scale score, compared with patients without AWP (15.6 [5.8] vs 7.7 [6.0]; p < 0.01).Conclusions: AWP was present in a concerning proportion of mechanically ventilated ED patients, was associated with rocuronium exposure in the ED, and led to increased levels of perceived threat, placing patients at greater risk for PTSD. Studies that aim to further quantify AWP in this vulnerable population and eliminate its occurrence are urgently needed. [ABSTRACT FROM AUTHOR]

Objective: As data science and artificial intelligence continue to rapidly gain traction, the publication of freely available ICU datasets has become invaluable to propel data-driven clinical research. In this guide for clinicians and researchers, we aim to: 1) systematically search and identify all publicly available adult clinical ICU datasets, 2) compare their characteristics, data quality, and richness and critically appraise their strengths and weaknesses, and 3) provide researchers with suggestions, which datasets are appropriate for answering their clinical question.Data Sources: A systematic search was performed in Pubmed, ArXiv, MedRxiv, and BioRxiv.Study Selection: We selected all studies that reported on publicly available adult patient-level intensive care datasets.Data Extraction: A total of four publicly available, adult, critical care, patient-level databases were included (Amsterdam University Medical Center data base [AmsterdamUMCdb], eICU Collaborative Research Database eICU CRD], High time-resolution intensive care unit dataset [HiRID], and Medical Information Mart for Intensive Care-IV). Databases were compared using a priori defined categories, including demographics, patient characteristics, and data richness. The study protocol and search strategy were prospectively registered.Data Synthesis: Four ICU databases fulfilled all criteria for inclusion and were queried using SQL (PostgreSQL version 12; PostgreSQL Global Development Group) and analyzed using R (R Foundation for Statistical Computing, Vienna, Austria). The number of unique patient admissions varied between 23,106 (AmsterdamUMCdb) and 200,859 (eICU-CRD). Frequency of laboratory values and vital signs was highest in HiRID, for example, 5.2 (±3.4) lactate values per day and 29.7 (±10.2) systolic blood pressure values per hour. Treatment intensity varied with vasopressor and ventilatory support in 69.0% and 83.0% of patients in AmsterdamUMCdb versus 12.0% and 21.0% in eICU-CRD, respectively. ICU mortality ranged from 5.5% in eICU-CRD to 9.9% in AmsterdamUMCdb.Conclusions: We identified four publicly available adult clinical ICU datasets. Sample size, severity of illness, treatment intensity, and frequency of reported parameters differ markedly between the databases. This should guide clinicians and researchers which databases to best answer their clinical questions. [ABSTRACT FROM AUTHOR]

Objectives: Extracorporeal membrane oxygenation has become integral to critical care. Data informing optimal extracorporeal membrane oxygenation education modalities are lacking. We aimed to compare the effect of high-fidelity simulation versus interactive mobile learning on extracorporeal membrane oxygenation knowledge acquisition and retention among clinicians.Design: Observer-blinded, randomized controlled trial.Setting: A single academic medical center.Subjects: Forty-four critical care clinicians with limited extracorporeal membrane oxygenation experience.Interventions: Participants were randomized to receive: 1) simulation: three high-fidelity training scenarios, 2) QuizTime: 15 total multiple-choice questions delivered over 3 weeks via mobile device, or 3) experiential: no formal training. Participants completed a survey, written knowledge examination, and simulation assessment prior to randomization, immediately following the intervention, and 4 month postintervention.Measurements and Main Results: The primary outcome was knowledge about extracorporeal membrane oxygenation assessed by score on the immediate postintervention written examination. Secondary outcomes included performance in extracorporeal membrane oxygenation simulation postintervention and 4 months later assessed by a rater blinded to group assignment. Clinicians randomized to simulation (n = 15), QuizTime (n = 14), and experiential (n = 15) had similar baseline characteristics. Adjusting for baseline knowledge, postintervention examination scores were higher in the simulation group (90.0%; interquartile range, 85.0-90.0%) than the QuizTime group (70.0%; interquartile range, 65.0-80.0%; p = 0.0003) and the experiential group (75.0%; interquartile range, 65.0-80.0%; p = 0.001). Scores did not differ between the groups at 4 months (p > 0.05 in all analyses). In postintervention extracorporeal membrane oxygenation simulations, the simulation group demonstrated shorter time to critical action compared with QuizTime (80.0 s [interquartile range, 54.0-111.0 s] vs 300.0 s [interquartile range 85.0-300.0 s]; p = 0.02) and compared with both QuizTime (45.0 s [interquartile range, 34.0-92.5 s] vs 255.5 s [interquartile range, 102.0-300.0 s]; p = 0.008) and experiential (300.0 s [interquartile range, 58.0-300.0 s]; p = 0.009) at 4 months.Conclusions: Simulation was superior to QuizTime and experiential learning with regard to extracorporeal membrane oxygenation knowledge acquisition. Further studies are needed to ascertain the effect of these interventions on knowledge retention, clinical performance, and patient outcomes. [ABSTRACT FROM AUTHOR]

Objectives: Given the strong association between systemic inflammation and cognitive decline, we aimed to determine whether nonneurologic infections are associated with accelerated cognitive decline and structural changes in the brain using pre- and post-infection neuropsychologic assessments and repeated brain MR images.Design: Additional analysis of the prospective observational Radboud University Nijmegen Diffusion Tensor and Magnetic Resonance Cohort study.Setting: Single-center study at the Radboud university medical center, Nijmegen, The Netherlands, between January 2006 and September 2015.Patients: Five-hundred three participants (50-85 yr old) with cerebral small vessel disease were included and followed for 9 years.Measurements and Main Results: Participants underwent repeated cognitive measurements and brain MRI. Infectious events were collected. Sepsis episodes were analyzed, and additionally, patients were stratified in three groups: having had a severe infectious episode (e.g., sepsis or hospitalization for infection), a mild, or no infectious episode. Development of dementia, trajectories of cognition, and structural brain changes on MRI in the subsequent follow-up periods were compared between the groups. Complete infectious data were available from 331 patients (mean age 64 ± 8 yr, 57% males). Twenty-nine participants (9%) suffered from a sepsis episode, 69 (21%) from a severe, 201 (61%) from a mild, and 61 (18%) had no infectious episode during follow-up. After correction for age, baseline cognition, and brain volume, each sepsis episode remained associated with an 82% increased risk to develop dementia within the follow-up period (hazard ratio, 1.82; 95% CI, 1.07-3.10; p = 0.027). Infections had no effect on the trajectory of structural changes to the brain after correction for baseline differences.Conclusions: In this 9-year observational follow-up study, sepsis episodes were associated with subsequent development of dementia. Nonneurologic infections had no effect on the trajectory of structural cerebral changes. [ABSTRACT FROM AUTHOR]

Objectives: Delirium is a common and frequently underdiagnosed complication in acutely hospitalized patients, and its severity is associated with worse clinical outcomes. We propose a physiologically based method to quantify delirium severity as a tool that can help close this diagnostic gap: the Electroencephalographic Confusion Assessment Method Severity Score (E-CAM-S).Design: Retrospective cohort study.Setting: Single-center tertiary academic medical center.Patients: Three-hundred seventy-three adult patients undergoing electroencephalography to evaluate altered mental status between August 2015 and December 2019.Interventions: None.Measurements and Main Results: We developed the E-CAM-S based on a learning-to-rank machine learning model of forehead electroencephalography signals. Clinical delirium severity was assessed using the Confusion Assessment Method Severity (CAM-S). We compared associations of E-CAM-S and CAM-S with hospital length of stay and inhospital mortality. E-CAM-S correlated with clinical CAM-S (R = 0.67; p < 0.0001). For the overall cohort, E-CAM-S and CAM-S were similar in their strength of association with hospital length of stay (correlation = 0.31 vs 0.41, respectively; p = 0.082) and inhospital mortality (area under the curve = 0.77 vs 0.81; p = 0.310). Even when restricted to noncomatose patients, E-CAM-S remained statistically similar to CAM-S in its association with length of stay (correlation = 0.37 vs 0.42, respectively; p = 0.188) and inhospital mortality (area under the curve = 0.83 vs 0.74; p = 0.112). In addition to previously appreciated spectral features, the machine learning framework identified variability in multiple measures over time as important features in electroencephalography-based prediction of delirium severity.Conclusions: The E-CAM-S is an automated, physiologic measure of delirium severity that predicts clinical outcomes with a level of performance comparable to conventional interview-based clinical assessment. [ABSTRACT FROM AUTHOR]

Objectives: Patients suffering from spontaneous subarachnoid hemorrhage frequently require mechanical ventilation. Here, we aimed to identify factors associated with prolonged mechanical ventilation in subarachnoid hemorrhage patients and to create a new predictive score for prolonged mechanical ventilation.Design: Prospective cohort study with retrospective data analysis.Setting: Neurocritical care unit at a tertiary academic medical center.Patients: Two hundred ninety-seven consecutive nontraumatic adult subarachnoid hemorrhage patients.Methods: In patients with mechanical ventilation, we identified factors associated with mechanical ventilation greater than 48 hours, greater than 7 days, and greater than 14 days compared with mechanical ventilation less than or equal to 48 hours, less than or equal to 7 days, or less than or equal to 14 days in multivariable generalized linear models. Ventilated patients who died before 48 hours, 7 days, or 14 days and those never ventilated were excluded from the respective analysis. We incorporated those factors into a new prognostic score (the RAISE score) to predict prolonged mechanical ventilation greater than 7 days. The calculation was based on a random dataset of 60% of subarachnoid hemorrhage patients and was internally validated.Interventions: None.Measurements and Main Results: Patients were 57 years old (interquartile range, 47-68 yr) and presented with a median Hunt and Hess grade of 3 (1-5). Two hundred forty-two patients (82%) required mechanical ventilation for 9 days (2-20 d). In multivariable analysis, a higher Acute Physiology Score was associated with mechanical ventilation greater than 48 hours, greater than 7 days, and greater than 14 days, a higher Hunt and Hess grade with greater than 7 days and greater than 14 days. Early neuroimaging findings were associated with mechanical ventilation greater than 48 hours (hydrocephalus; high-grade Subarachnoid Hemorrhage Early Brain Edema Score), greater than 7 days (high-grade Subarachnoid Hemorrhage Early Brain Edema Score, co-occurrence of intracerebral bleeding) but not with prolonged mechanical ventilation greater than 14 days. The RAISE score, including age, Acute Physiology Score, Hunt and Hess grade, Subarachnoid Hemorrhage Early Brain Edema Score, and the co-occurrence of intracerebral hemorrhage accurately stratified patients by prolonged mechanical ventilation greater than 7 days (C-statistic 0.932). A RAISE score of 12 predicted 60% likelihood of mechanical ventilation greater than 7 days.Conclusions: Initial disease severity and neuroimaging findings detected within 24 hours after ICU admission were associated with the need for prolonged mechanical ventilation in patients with subarachnoid hemorrhage. These results may be helpful for patient families and caregivers to better anticipate the course of therapy. [ABSTRACT FROM AUTHOR]

Objectives: Whole blood lactate concentration is widely used in shock states to assess perfusion. We aimed to determine if the change in plasma renin concentration over time would be superior to the change in lactate concentration for predicting in-hospital mortality in hypotensive patients on vasopressors.Design: Prospective, observational cohort study.Setting: Tertiary academic ICU.Patients: Adult patients on vasopressors for greater than 6 hours to maintain a mean arterial pressure greater than or equal to 65 mm Hg during January 2020.Interventions: Plasma renin concentrations were measured at enrollment and at 24, 48, and 72 hours. Whole blood lactate measurements were performed according to normal standard of care. Logistic regression was performed to evaluate whether the change in renin or lactate concentration could predict in-hospital mortality. Generalized estimating equations were used to analyze the association between renin and lactate concentration and in-hospital mortality. The area under the receiver operating characteristics curve was performed to measure the discriminative ability of initial and peak renin and lactate concentration to predict mortality. The association between renin and lactate concentration above the upper limit of normal at each timepoint with in-hospital mortality was also examined.Measurements and Main Results: The study included 197 renin and 148 lactate samples obtained from 53 patients. The slope of the natural log (ln) of renin concentration was independently associated with mortality (adjusted odds ratio, 10.35; 95% CI, 1.40-76.34; p = 0.022), but the slope of ln-lactate concentration was not (adjusted odds ratio, 4.78; 95% CI, 0.03-772.64; p = 0.55). The generalized estimating equation models found that both ln-renin (adjusted odds ratio, 1.18; 95% CI, 1.02-1.37; p = 0.025) and ln-lactate (adjusted odds ratio, 2.38; 95% CI, 1.05-5.37; p = 0.037) were associated with mortality. Area under the receiver operating characteristics curve analysis demonstrated that initial renin could predict in-hospital mortality with fair discrimination (area under the receiver operating characteristics curve, 0.682; 95% CI, 0.503-0.836; p = 0.05), but initial lactate could not (area under the receiver operating characteristics curve, 0.615; 95% CI, 0.413-0.803; p = 0.27). Peak renin (area under the receiver operating characteristics curve, 0.728; 95% CI, 0.547-0.888; p = 0.01) and peak lactate (area under the receiver operating characteristics curve, 0.746; 95% CI, 0.584-0.876; p = 0.01) demonstrated moderate discrimination. There was no significant difference in discriminative ability between initial or peak renin and lactate concentration. At each study time point, a higher proportion of renin values exceeded the threshold of normal (40 pg/mL) in nonsurvivors than in survivors, but this association was not significant for lactate.Conclusions: Although there was no significant difference in the performance of renin and lactate when examining the absolute values of each laboratory, a positive rate of change in renin concentration, but not lactate concentration, over 72 hours was associated with in-hospital mortality. For each one-unit increase in the slope of ln-renin, the odds of mortality increased 10-fold. Renin levels greater than 40 pg/mL, but not lactate levels greater than 2 mmol/L, were associated with in-hospital mortality. These findings suggest that plasma renin kinetics may be superior to lactate kinetics in predicting mortality of hypotensive, critically ill patients. [ABSTRACT FROM AUTHOR]

Objectives: To identify early predictors of postictal delirium in adult patients after termination of status epilepticus.Design: Retrospective study.Setting: ICUs at a Swiss tertiary academic medical center.Patients: Status epilepticus patients treated on the ICUs for longer than 24 hours from 2012 to 2018.Interventions: None.Methods: Primary outcome was postictal delirium during post-status epilepticus treatment defined as an Intensive Care Delirium Screening Checklist greater than or equal to 4. Associations with postictal delirium were secondary outcomes. A time-dependent multivariable Cox proportional hazards model was used to identify risks of postictal delirium. It included variables that differed between patients with and without delirium and established risk factors for delirium (age, sex, number of inserted catheters, illness severity [quantified by the Sequential Organ Failure Assessment and Status Epilepticus Severity Score], neurodegenerative disease, dementia, alcohol/drug consumption, infections, coma during status epilepticus, dose of benzodiazepines, anesthetics, and mechanical ventilation).Measurements and Main Results: Among 224 patients, post-status epilepticus Intensive Care Delirium Screening Checklist was increased in 83% with delirium emerging in 55% with a median duration of 2 days (interquartile range 1-3 d). Among all variables, only the history of alcohol and/or drug consumption was associated with increased hazards for delirium in multivariable analyses (hazard ratio = 3.35; 95% CI, 1.53-7.33).Conclusions: Our study provides first exploratory insights into the risks of postictal delirium in adult status epilepticus patients treated in the ICU. Delirium following status epilepticus is frequent, lasting mostly 2-3 days. Our findings that with the exception of a history of alcohol and/or drug consumption, other risk factors of delirium were not found to be associated with a risk of postictal delirium may be related to the limited sample size and the exploratory nature of our study. Further investigations are needed to investigate the role of established risk factors in other status epilepticus cohorts. In the meantime, our results indicate that the risk of delirium should be especially considered in patients with a history of alcohol and/or drug consumption. [ABSTRACT FROM AUTHOR]

Objectives: To train a model to predict vasopressor use in ICU patients with sepsis and optimize external performance across hospital systems using domain adaptation, a transfer learning approach.Design: Observational cohort study.Setting: Two academic medical centers from January 2014 to June 2017.Patients: Data were analyzed from 14,512 patients (9,423 at the development site and 5,089 at the validation site) who were admitted to an ICU and met Center for Medicare and Medicaid Services definition of severe sepsis either before or during the ICU stay. Patients were excluded if they never developed sepsis, if the ICU length of stay was less than 8 hours or more than 20 days or if they developed shock up to the first 4 hours of ICU admission.Measurements and Main Results: Forty retrospectively collected features from the electronic medical records of adult ICU patients at the development site (four hospitals) were used as inputs for a neural network Weibull-Cox survival model to derive a prediction tool for future need of vasopressors. Domain adaptation updated parameters to optimize model performance in the validation site (two hospitals), a different healthcare system over 2,000 miles away. The cohorts at both sites were randomly split into training and testing sets (80% and 20%, respectively). When applied to the test set in the development site, the model predicted vasopressor use 4-24 hours in advance with an area under the receiver operator characteristic curve, specificity, and positive predictive value ranging from 0.80 to 0.81, 56.2% to 61.8%, and 5.6% to 12.1%, respectively. Domain adaptation improved performance of the model to predict vasopressor use within 4 hours at the validation site (area under the receiver operator characteristic curve 0.81 [CI, 0.80-0.81] from 0.77 [CI, 0.76-0.77], p < 0.01; specificity 59.7% [CI, 58.9-62.5%] from 49.9% [CI, 49.5-50.7%], p < 0.01; positive predictive value 8.9% [CI, 8.5-9.4%] from 7.3 [7.1-7.4%], p < 0.01).Conclusions: Domain adaptation improved performance of a model predicting sepsis-associated vasopressor use during external validation. [ABSTRACT FROM AUTHOR]

Objectives: The coronavirus disease 2019 pandemic has overwhelmed healthcare resources even in wealthy nations, necessitating rationing of limited resources without previously established crisis standards of care protocols. In Massachusetts, triage guidelines were designed based on acute illness and chronic life-limiting conditions. In this study, we sought to retrospectively validate this protocol to cohorts of critically ill patients from our hospital.Design: We applied our hospital-adopted guidelines, which defined severe and major chronic conditions as those associated with a greater than 50% likelihood of 1- and 5-year mortality, respectively, to a critically ill patient population. We investigated mortality for the same intervals.Setting: An urban safety-net hospital ICU.Patients: All adults hospitalized during April of 2015 and April 2019 identified through a clinical database search.Interventions: None.Measurements and Main Results: Of 365 admitted patients, 15.89% had one or more defined chronic life-limiting conditions. These patients had higher 1-year (46.55% vs 13.68%; p < 0.01) and 5-year (50.00% vs 17.22%; p < 0.01) mortality rates than those without underlying conditions. Irrespective of classification of disease severity, patients with metastatic cancer, congestive heart failure, end-stage renal disease, and neurodegenerative disease had greater than 50% 1-year mortality, whereas patients with chronic lung disease and cirrhosis had less than 50% 1-year mortality. Observed 1- and 5-year mortality for cirrhosis, heart failure, and metastatic cancer were more variable when subdivided into severe and major categories.Conclusions: Patients with major and severe chronic medical conditions overall had 46.55% and 50.00% mortality at 1 and 5 years, respectively. However, mortality varied between conditions. Our findings appear to support a crisis standards protocol which focuses on acute illness severity and only considers underlying conditions carrying a greater than 50% predicted likelihood of 1-year mortality. Modifications to the chronic lung disease, congestive heart failure, and cirrhosis criteria should be refined if they are to be included in future models. [ABSTRACT FROM AUTHOR]

Objectives: Hyperbaric oxygen therapy (HBO2) is recommended for symptomatic patients within 24-hour postcarbon monoxide poisoning. Previous studies have reported significantly better outcomes with treatment administered within 6 hours after carbon monoxide poisoning. Thus, we aimed to compare the neurocognitive outcomes according to HBO2 delay intervals.Design: Retrospective analysis of data from our prospectively collected carbon monoxide poisoning registry.Setting: A single academic medical center in Wonju, Republic of Korea.Patients: We analyzed the data of 706 patients older than 16 years treated with HBO2 with propensity score matching. Based on carbon monoxide exposure-to-HBO2 delay intervals, we classified patients into the early (control, less than or equal to 6 hr) and late (case, 6-24 hr) groups. The late group was further divided into Case-1 (6-12 hr) and Case-2 (12-24 hr) groups. We also compared mild (nonintubated) and severe (intubated) groups.Interventions: HBO2.Measurements and Main Results: After propensity score matching, Global Deterioration Scale scores at 6 months postcarbon monoxide exposure showed significantly fewer poor outcome patients in the early than in the late group (p = 0.027). The early group had significantly fewer patients with poor outcomes than the Case-2 group (p = 0.035) at 1 month and than the Case-1 (p = 0.033) and Case-2 (p = 0.004) groups at 6 months. There were significantly more patients with poor prognoses at 6 months as treatment interval increased (p = 0.008). In the mild cohort, the early group had significantly fewer patients with poor 6-month outcomes than the late group (p = 0.033).Conclusions: Patients who received HBO2 within 6 hours of carbon monoxide exposure had a better 6-month neurocognitive prognosis than those treated within 6-24 hours. An increase in the interval to treatment led to an increase in poor outcomes. [ABSTRACT FROM AUTHOR]

Objectives: Brain death determination often requires ancillary studies when clinical determination cannot be fully or safely completed. We aimed to analyze the results of ancillary studies, the factors associated with ancillary study performance, and the changes over time in number of studies performed at an academic health system.Design: Retrospective cohort.Setting: Multihospital academic health system.Patients: Consecutive adult patients declared brain dead between 2010 and 2020.Interventions: None.Measurements and Main Results: Of 140 brain death patients, ancillary studies were performed in 84 (60%). The false negative rate of all ancillary studies was 4% (5% of transcranial Doppler ultrasounds, 4% of nuclear studies, 0% of electroencephalograms, and 17% of CT angiography). In univariate analysis, ancillary study use was associated with female sex (odds ratio, 2.4; 95% CI, 1.21-5.01; p = 0.013) and the etiology of brain death being hypoxic-ischemic brain injury (odds ratio, 2.9; 95% CI, 1.43-5.88; p = 0.003), nontraumatic intracranial hemorrhage (odds ratio, 0.45; 95% CI, 0.21-0.96; p = 0.039), or traumatic brain injury (odds ratio, 0.22; 95% CI, 0.04-0.8; p = 0.031). In multivariable analysis, female sex (odds ratio, 5.7; 95% CI, 2.56-15.86; p = 0.004), the etiology of brain death being hypoxic-ischemic brain injury (odds ratio, 3.2; 95% CI, 1.3-8.8; p = 0.015), and the neurologists performing brain death declaration (odds ratio, 0.08; 95% CI, 0.004-0.64; p = 0.034) were factors independently associated with use of ancillary studies. Over the study period, the total number of ancillary studies performed each year did not significantly change; however, the number of electroencephalograms significantly decreased with time (odds ratio per 1-yr increase, 0.67; 95% CI, 0.49-0.90; p = 0.014).Conclusions: A large number of ancillary studies were performed despite a clinical determination of brain death; patients with hypoxic-ischemic brain injury are more likely to undergo ancillary studies for brain death determination, and neurologists were less likely to use ancillary studies for brain death. Recently, the use of electroencephalograms for brain death determination has decreased, likely reflecting significant concerns regarding its validity and reliability. [ABSTRACT FROM AUTHOR]

ObjectivesThe existing risk prediction model for patients requiring prolonged mechanical ventilation is not applicable until after 21 days of mechanical ventilation. We sought to develop and validate a mortality prediction model for patients earlier in the ICU course using data from day 14 of mechanical ventilation.DesignMulticenter retrospective cohort study.SettingForty medical centers across the United States.PatientsAdult patients receiving at least 14 days of mechanical ventilation.InterventionsNone.Measurements and main resultsPredictor variables were measured on day 14 of mechanical ventilation in the development cohort and included in a logistic regression model with 1-year mortality as the outcome. Variables were sequentially eliminated to develop the ProVent 14 model. This model was then generated in the validation cohort. A simplified prognostic scoring rule (ProVent 14 Score) using categorical variables was created in the development cohort and then tested in the validation cohort. Model discrimination was assessed by the area under the receiver operator characteristic curve. Four hundred ninety-one patients and 245 patients were included in the development and validation cohorts, respectively. The most parsimonious model included age, platelet count, requirement for vasopressors, requirement for hemodialysis, and nontrauma admission. The area under the receiver operator characteristic curve for the ProVent 14 model using continuous variables was 0.80 (95% CI, 0.76-0.83) in the development cohort and 0.78 (95% CI, 0.72-0.83) in the validation cohort. The ProVent 14 Score categorized age at 50 and 65 years old and platelet count at 100×10(9)/L and had similar discrimination as the ProVent 14 model in both cohorts.ConclusionUsing clinical variables available on day 14 of mechanical ventilation, the ProVent 14 model can identify patients receiving prolonged mechanical ventilation with a high risk of mortality within 1 year.

Purpose: Following return of spontaneous circulation after cardiac arrest, hypoxic ischemic brain injury is the primary cause of mortality and disability. Goal-directed care using invasive multimodal neuromonitoring has emerged as a possible resuscitation strategy. We evaluated whether goal-directed care was associated with improved neurologic outcome in hypoxic ischemic brain injury patients after cardiac arrest.Design: Retrospective, single-center, matched observational cohort study.Setting: Quaternary academic medical center.Patients: Adult patients admitted to the ICU following return of spontaneous circulation postcardiac arrest with clinical evidence of hypoxic ischemic brain injury defined as greater than or equal to 10 minutes of cardiac arrest with an unconfounded postresuscitation Glasgow Coma Scale of less than or equal to 8.Interventions: We compared patients who underwent goal-directed care using invasive neuromonitoring with those treated with standard of care (using both total and matched groups).Measurements and Main Results: Goal-directed care patients were matched 1:1 to standard of care patients using propensity scores and exact matching. The primary outcome was a 6-month favorable neurologic outcome (Cerebral Performance Category of 1 or 2). We included 65 patients, of whom 21 received goal-directed care and 44 patients received standard of care. The median age was 50 (interquartile range, 35-61), 48 (74%) were male, and seven (11%) had shockable rhythms. Favorable neurologic outcome at 6 months was significantly greater in the goal-directed care group (n = 9/21 [43%]) compared with the matched (n = 2/21 [10%], p = 0.016) and total (n = 8/44 [18%], p = 0.034) standard of care groups. Goal-directed care group patients had higher mean arterial pressure (p < 0.001 vs total; p = 0.0060 vs matched) and lower temperature (p = 0.007 vs total; p = 0.041 vs matched).Conclusions: In this preliminary study of patients with hypoxic ischemic brain injury postcardiac arrest, goal-directed care guided by invasive neuromonitoring was associated with a 6-month favorable neurologic outcome (Cerebral Performance Category 1 or 2) versus standard of care. Significant work is required to confirm this finding in a prospectively designed study. [ABSTRACT FROM AUTHOR]

Objectives: Early diagnosis of infections is pivotal in critically ill patients. Innovative gene expression-based approaches promise to deliver precise, fast, and clinically practicable diagnostic tools to bedside. This study aimed to validate the SepsisMetaScore, an 11-gene signature previously reported by our study group, in a representative longitudinal cohort of trauma patients.Design: Prospective observational cohort study.Setting: Surgical ICUs of the University Medical Center Goettingen, Germany.Patients: Critically ill patients with severe traumatic injuries.Interventions: None.Measurements and Main Results: Paired box gene (PAXgene) RNA blood tubes were drawn at predefined time points over the course of disease. The performance of the SepsisMetaScore was tested using targeted polymerase chain reaction and compared with Procalcitonin using area under the receiver operating characteristics analyses. The SepsisMetaScore showed significant differences between infected and noninfected patients (n = 52). It was able to accurately discriminate infectious from noninfectious acute inflammation with an area under the receiver operating characteristics of 0.92 (95% CI, 0.85-0.99) and significantly outperformed Procalcitonin (area under the receiver operating characteristics curve = 0.53; 95% CI, 0.42-0.64) early in the course of infection (p = 0.014).Conclusions: We demonstrated the clinical utility for diagnosis of infections with higher accuracy using the SepsisMetaScore compared with Procalcitonin in a prospective cohort of severe trauma patients. Future studies should assess whether the SepsisMetaScore may substantially improve clinical practice by accurate differentiation of infections from sterile inflammation and identification of patients at risk for sepsis. Our results support further investigation of the SepsisMetaScore for the development of tailored precision treatment of critically ill patients. [ABSTRACT FROM AUTHOR]

Objectives: Critical care medicine is a natural environment for machine learning approaches to improve outcomes for critically ill patients as admissions to ICUs generate vast amounts of data. However, technical, legal, ethical, and privacy concerns have so far limited the critical care medicine community from making these data readily available. The Society of Critical Care Medicine and the European Society of Intensive Care Medicine have identified ICU patient data sharing as one of the priorities under their Joint Data Science Collaboration. To encourage ICUs worldwide to share their patient data responsibly, we now describe the development and release of Amsterdam University Medical Centers Database (AmsterdamUMCdb), the first freely available critical care database in full compliance with privacy laws from both the United States and Europe, as an example of the feasibility of sharing complex critical care data.Setting: University hospital ICU.Subjects: Data from ICU patients admitted between 2003 and 2016.Interventions: We used a risk-based deidentification strategy to maintain data utility while preserving privacy. In addition, we implemented contractual and governance processes, and a communication strategy. Patient organizations, supporting hospitals, and experts on ethics and privacy audited these processes and the database.Measurements and Main Results: AmsterdamUMCdb contains approximately 1 billion clinical data points from 23,106 admissions of 20,109 patients. The privacy audit concluded that reidentification is not reasonably likely, and AmsterdamUMCdb can therefore be considered as anonymous information, both in the context of the U.S. Health Insurance Portability and Accountability Act and the European General Data Protection Regulation. The ethics audit concluded that responsible data sharing imposes minimal burden, whereas the potential benefit is tremendous.Conclusions: Technical, legal, ethical, and privacy challenges related to responsible data sharing can be addressed using a multidisciplinary approach. A risk-based deidentification strategy, that complies with both U.S. and European privacy regulations, should be the preferred approach to releasing ICU patient data. This supports the shared Society of Critical Care Medicine and European Society of Intensive Care Medicine vision to improve critical care outcomes through scientific inquiry of vast and combined ICU datasets. [ABSTRACT FROM AUTHOR]

Objectives: Early seizures are a common complication of intracerebral hemorrhage, occurring in ~10% of patients. However, the independent effect of early seizures on patient outcomes, particularly health-related quality of life, is unclear. Without a potential benefit to patient outcomes, the widespread use (~40%) of prophylactic seizure medications has no reasonable chance of improving patient outcomes. We tested the hypothesis that health-related quality of life at follow-up is different between patients with and without early seizures (and secondarily, with nonconvulsive status epilepticus) after intracerebral hemorrhage.Design: Patients with intracerebral hemorrhage were enrolled in an observational cohort study that prospectively collected clinical data and health-related quality of life at follow-up.Setting: Academic medical center.Patients: One-hundred thirty-three patients whose health-related quality of life was assessed 3 months after intracerebral hemorrhage onset.Measurements and Main Results: Health-related quality of life was obtained at 3 months after intracerebral hemorrhage onset. T Scores of health-related quality of life were modeled with multivariable linear models accounting for severity with the intracerebral hemorrhage Score and hematoma location. Health-related quality of life was measured with National Institutes of Health Patient Reported Outcomes Measurement Information System/Neuroquality of life, expressed in T Scores (U.S. normal 50 ± 10). The modified Rankin Scale (a global measure) was a secondary outcome. There were 12 patients (9%) with early seizures. T Scores of health-related quality of life at follow-up were lower (worse) in patients with early seizure compared with patients without an early seizure (44 [32.75-51.85] vs 30.25 [18.9-39.15]; p = 0.04); results for other domains of health-related quality of life were similar. The association persisted in multivariable models. There was no association between early seizures and prophylactic seizure medications (p = 0.4). Results for patients with nonconvulsive status epilepticus were similar. There was no association between early seizures and the modified Rankin Scale at 3 months.Conclusions: Early seizures and nonconvulsive status epilepticus were associated with lower health-related quality of life at follow-up in survivors of intracerebral hemorrhage. [ABSTRACT FROM AUTHOR]

Objectives: Patients on venoarterial extracorporeal membrane oxygenation have many risk factors for pulmonary complications in addition to their heart failure. Optimal positive end-expiratory pressure is unknown in these patients. The aim was to evaluate the ability of electrical impedance tomography to help the physician to select the optimal positive end-expiratory pressure in venoarterial extracorporeal membrane oxygenation treated and mechanically ventilated patients during a positive end-expiratory pressure trial.Design: Observational prospective monocentric.Setting: University hospital.Patients: Patients (n = 23) older than 18 years old, on mechanical ventilation and venoarterial extracorporeal membrane oxygenation.Interventions: A decreasing positive end-expiratory pressure trial (20-5 cm H2O) in increments of 5 cm H2O was performed and monitored by a collection of clinical parameters, ventilatory and ultrasonographic (cardiac and pulmonary) to define an optimal positive end-expiratory pressure according to respiratory criteria (optimal positive end-expiratory pressure selected by physician with respiratory parameters), and then adjusted according to hemodynamic and cardiac tolerances (optimal positive end-expiratory pressure selected by physician with respiratory, hemodynamic, and echocardiographic parameters). At the same time, electrical impedance tomography data (regional distribution of ventilation, compliance, and overdistension collapse) were recorded and analyzed retrospectively to define the optimal positive end-expiratory pressure.Measurements and Main Results: The median of this optimal positive end-expiratory pressure was 10 cm H2O in our population. Electrical impedance tomography showed that increasing positive end-expiratory pressure promoted overdistention of ventral lung, maximum at positive end-expiratory pressure 20 cm H20 (34% [interquartile range, 24.5-40]). Decreasing positive end-expiratory pressure resulted in collapse of dorsal lung (29% [interquartile range, 21-45.8]). The optimal positive end-expiratory pressure selected by physician with respiratory parameters was not different from the positive end-expiratory pressure chosen by the electrical impedance tomography. However, there is a negative impact of a high level of intrathoracic pressure on hemodynamic and cardiac tolerances.Conclusions: Our results support that electrical impedance tomography appears predictive to define optimal positive end-expiratory pressure on venoarterial extracorporeal membrane oxygenation, aided by echocardiography to optimize hemodynamic assessment and management. [ABSTRACT FROM AUTHOR]

Objectives: Monitoring cerebral autoregulation may help identify the lower limit of autoregulation in individual patients. Mean arterial blood pressure below lower limit of autoregulation appears to be a risk factor for postoperative acute kidney injury. Cerebral autoregulation can be monitored in real time using correlation approaches. However, the precise thresholds for different cerebral autoregulation indexes that identify the lower limit of autoregulation are unknown. We identified thresholds for intact autoregulation in patients during cardiopulmonary bypass surgery and examined the relevance of these thresholds to postoperative acute kidney injury.Design: A single-center retrospective analysis.Setting: Tertiary academic medical center.Patients: Data from 59 patients was used to determine precise cerebral autoregulation thresholds for identification of the lower limit of autoregulation. These thresholds were validated in a larger cohort of 226 patients.Methods and Main Results: Invasive mean arterial blood pressure, cerebral blood flow velocities, regional cortical oxygen saturation, and total hemoglobin were recorded simultaneously. Three cerebral autoregulation indices were calculated, including mean flow index, cerebral oximetry index, and hemoglobin volume index. Cerebral autoregulation curves for the three indices were plotted, and thresholds for each index were used to generate threshold- and index-specific lower limit of autoregulations. A reference lower limit of autoregulation could be identified in 59 patients by plotting cerebral blood flow velocity against mean arterial blood pressure to generate gold-standard Lassen curves. The lower limit of autoregulations defined at each threshold were compared with the gold-standard lower limit of autoregulation determined from Lassen curves. The results identified the following thresholds: mean flow index (0.45), cerebral oximetry index (0.35), and hemoglobin volume index (0.3). We then calculated the product of magnitude and duration of mean arterial blood pressure less than lower limit of autoregulation in a larger cohort of 226 patients. When using the lower limit of autoregulations identified by the optimal thresholds above, mean arterial blood pressure less than lower limit of autoregulation was greater in patients with acute kidney injury than in those without acute kidney injury.Conclusions: This study identified thresholds of intact and impaired cerebral autoregulation for three indices and showed that mean arterial blood pressure below lower limit of autoregulation is a risk factor for acute kidney injury after cardiac surgery. [ABSTRACT FROM AUTHOR]

Objectives: To investigate the frequency, types, and implications of complications during intensive care in patients after status epilepticus has been successfully terminated.Design: Retrospective study.Setting: ICUs at a Swiss tertiary academic medical care center.Patients: Data were collected from the digital patient records of all adult patients with status epilepticus from 2012 to 2018.Interventions: None.Methods: Primary outcomes were defined as frequency of complications following status epilepticus termination and return to premorbid functional baseline. Univariable analyses regarding the relative risks of complications occurring after status epilepticus termination for no return to premorbid neurologic function were estimated by Poisson regression with robust error variance.Results: Of 311 patients with status epilepticus, 224 patients (72%) were treated on the ICU for more than 24 hours following status epilepticus termination. Ninety-six percent of patients remained in a prolonged state of altered consciousness for a median of 2 days (interquartile range, 1-3 d) and 80% had complications during their ICU treatment. Fifty-five percent had new-onset delirium with a median duration of 2 days (interquartile range, 1-3 d). Forty-two percent had mechanical ventilation for a median of 4 days (interquartile range, 2-11 d) and 21% had nosocomial infections diagnosed after status epilepticus. Multivariable analyses revealed that mechanical ventilation for more than 24 hours after status epilepticus, and arterial hypotension requiring vasopressors were independently associated with increased risk of no return to premorbid function (RRfor each additional day = 1.01; 95% CI, 1.02-1.03 and RRfor each additional day = 1.03; 95% CI, 1.01-1.05) and death (RRfor each additional day = 1.11; 95% CI, 1.04-1.19 and RRfor each additional day = 1.15; 95% CI, 1.03-1.28). Delirium was independently associated with a decreased relative risk of death (RRfor each additional day = 0.55; 95% CI, 0.37-0.80), but prolonged ICU- and hospital stays.Conclusions: Complications after status epilepticus termination are frequent and associated with no return to premorbid function, death, and prolonged ICU- and hospital stays. These results call for heightened awareness and further studies mainly regarding prediction and preventive strategies in this context. [ABSTRACT FROM AUTHOR]

Objectives: To describe the predictive utility of the d-dimer assay among patients with the coronavirus disease 2019 syndrome for unprovoked lower extremity deep venous thrombosis. Design: Prospective observational study with retrospective data analysis. Setting: Academic medical center surgical ICU. Patients: Seventy-two intubated patients with critical illness from coronavirus disease 2019. Interventions: Therapeutic anticoagulation after imaging diagnosis of the first three deep venous thrombosis cases was confirmed; therapeutic anticoagulation as prophylaxis thereafter to all subsequent ICU admissions. Measurements and Main Results: Seventy-two patients with severe coronavirus disease 2019 were screened for deep venous thrombosis after ICU admission with 102 duplex ultrasound examinations, with 12 cases (16.7%) of lower extremity deep venous thrombosis identified. There were no differences between groups with respect to age, renal function, or biomarkers except for d-dimer (median, 12,858 ng/mL [interquartile range, 3,176- 30,770 ng/mL] for lower extremity deep venous thrombosis vs 2,087 ng/mL [interquartile range, 638-3,735 ng/mL] for no evidence of deep venous thrombosis; p < 0.0001). Clinical screening tools (Wells score and Dutch Primary Care Rule) had no utility. The C-statistic for d-dimer concentration was 0.874 ± 0.065. At the model-predicted cutoff value of 3,000 ng/mL, sensitivity was 100%, specificity was 51.1%, positive predictive value was 21.8%, and negative predictive value was 100%. Conclusions: Lower extremity deep venous thrombosis is prevalent in coronavirus disease 2019 disease and can be present on ICU admission. Screening has been recommended in the context of the pro-inflammatory, hypercoagulable background milieu. d-dimer concentrations are elevated in nearly all coronavirus disease 2019 patients, and the test appears reliable for screening for lower extremity deep venous thrombosis at or above a concentration of 3,000 ng/mL (more than 13-fold above the normal range). Full anticoagulation is indicated if the diagnosis is confirmed, and therapeutic anticoagulation should be considered for prophylaxis, as all coronavirus disease 2019 patients are at increased risk. [ABSTRACT FROM AUTHOR]

Objectives: We recently found that distinct body temperature trajectories of infected patients correlated with survival. Understanding the relationship between the temperature trajectories and the host immune response to infection could allow us to immunophenotype patients at the bedside using temperature. The objective was to identify whether temperature trajectories have consistent associations with specific cytokine responses in two distinct cohorts of infected patients.Design: Prospective observational study.Setting: Large academic medical center between 2013 and 2019.Subjects: Two cohorts of infected patients: 1) patients in the ICU with septic shock and 2) hospitalized patients with Staphylococcus aureus bacteremia.Interventions: Clinical data (including body temperature) and plasma cytokine concentrations were measured. Patients were classified into four temperature trajectory subphenotypes using their temperature measurements in the first 72 hours from the onset of infection. Log-transformed cytokine levels were standardized to the mean and compared with the subphenotypes in both cohorts.Measurements and Main Results: The cohorts consisted of 120 patients with septic shock (cohort 1) and 88 patients with S. aureus bacteremia (cohort 2). Patients from both cohorts were classified into one of four previously validated temperature subphenotypes: "hyperthermic, slow resolvers" (n = 19 cohort 1; n = 13 cohort 2), "hyperthermic, fast resolvers" (n = 18 C1; n = 24 C2), "normothermic" (n = 54 C1; n = 31 C2), and "hypothermic" (n = 29 C1; n = 20 C2). Both "hyperthermic, slow resolvers" and "hyperthermic, fast resolvers" had high levels of G-CSF, CCL2, and interleukin-10 compared with the "hypothermic" group when controlling for cohort and timing of cytokine measurement (p < 0.05). In contrast to the "hyperthermic, slow resolvers," the "hyperthermic, fast resolvers" showed significant decreases in the levels of several cytokines over a 24-hour period, including interleukin-1RA, interleukin-6, interleukin-8, G-CSF, and M-CSF (p < 0.001).Conclusions: Temperature trajectory subphenotypes are associated with consistent cytokine profiles in two distinct cohorts of infected patients. These subphenotypes could play a role in the bedside identification of cytokine profiles in patients with sepsis. [ABSTRACT FROM AUTHOR]

Objectives: The main objective of the study was to determine the prevalence of venous thromboembolism events in patients infected with severe acute respiratory syndrome coronavirus 2 requiring venovenous extracorporeal membrane oxygenation. The secondary objective was to compare venous thromboembolism events and coagulation variables in patients requiring venovenous extracorporeal membrane oxygenation according to the pathogen.Design: Retrospective observational analysis at a single center.Setting: Tertiary referral university teaching hospital.Patients: Patients with severe acute respiratory syndrome coronavirus 2-related severe acute respiratory distress syndrome requiring venovenous extracorporeal membrane oxygenation therapy with an injected CT scan performed after extracorporeal membrane oxygenation retrieval.Interventions: None.Measurements and Main Results: We included 13 severe acute respiratory syndrome coronavirus 2 patients requiring venovenous extracorporeal membrane oxygenation. All of these patients experienced venous thromboembolism: 10 patients (76.9%) had isolated cannula-associated deep vein thrombosis, two patients (15.4%) had isolated pulmonary embolism, and one patient (7.7%) had both cannula-associated deep vein thrombosis and pulmonary embolism. Eleven patients (84.6%) had cannula-associated deep vein thrombosis. A jugular associated cannula-associated deep vein thrombosis was identified in seven patients (53.8%), a femoral associated cannula-associated deep vein thrombosis was identified in 10 patients (76.9%), and six patients (46.2%) had both femoral and jugular cannula-associated deep vein thrombosis. A pulmonary embolism was found in three patients (23.1%). No patient had central venous catheter-related deep vein thrombosis. One patient had thrombotic occlusion of the centrifugal pump, and one had oxygenator thrombosis requiring circuit replacement. Three patients (23.1%) had significant bleeding. Three patients (23.1%) had laboratory-confirmed heparin-induced thrombocytopenia, and all of them developed cannula-associated deep vein thrombosis. These three patients had femoral cannula-associated deep vein thrombosis, and two had an oxygenator or pump thrombosis. The mean activated partial thromboplastin time ratio was higher in the severe acute respiratory syndrome coronavirus 2 group than in the influenza group and the community-acquired pneumonia group (1.91 vs 1.48 vs 1.53; p = 0.001), which was also found in regard to the percentage of patients with an activated partial thromboplastin time ratio greater than 1.8 (47.8% vs 20% vs 20.9%; p = 0.003) and the mean prothrombin ratio (86.3 vs 61.6 vs 67.1; p = 0.003). There was no difference in baseline characteristics or venous thromboembolism events.Conclusions: We report a 100% occurrence of venous thromboembolism in critically ill patients supported by venovenous extracorporeal membrane oxygenation for severe acute respiratory syndrome coronavirus 2-related acute respiratory distress syndrome using CT scan imaging despite a high target and close monitoring of anticoagulation. [ABSTRACT FROM AUTHOR]

Objectives: Evaluation of left atrial pressure is frequently required for mechanically ventilated critically ill patients. The objective of the present study was to evaluate the 2016 American Society of Echocardiography and the European Association of Cardiovascular Imaging guidelines for assessment of the pulmonary artery occlusion pressure (a frequent surrogate of left atrial pressure) in this population.Design: A pooled analysis of three prospective cohorts of patients simultaneously assessed with a pulmonary artery catheter and echocardiography.Settings: Medical-surgical intensive care department of two university hospitals in France.Patients: Mechanically ventilated critically ill patients.Interventions: None.Measurements and Main Results: Of 98 included patients (males: 67%; mean ± SD age: 59 ± 16; and mean Simplified Acute Physiology Score 2: 54 ± 20), 53 (54%) experienced septic shock. Using the 2016 American Society of Echocardiography and the European Association of Cardiovascular Imaging guidelines, the predicted pulmonary artery occlusion pressure was indeterminate in 48 of the 98 patients (49%). Of the 24 patients with an elevated predicted left atrial pressure (grade II/III diastolic dysfunction), only 17 (71%) had a pulmonary artery occlusion pressure greater than or equal to 18 mm Hg. Similarly, 20 of the 26 patients (77%) with a normal predicted left atrial pressure (grade I diastolic dysfunction) had a measured pulmonary artery occlusion pressure less than 18 mm Hg. The sensitivity and specificity of American Society of Echocardiography and the European Association of Cardiovascular Imaging guidelines for predicting elevated pulmonary artery occlusion pressure were both 74%. The agreement between echocardiography and the pulmonary artery catheter was moderate (Cohen's Kappa, 0.48; 95% CI, 0.39-0.70). In a proposed alternative algorithm, the best echocardiographic predictors of a normal pulmonary artery occlusion pressure were a lateral e'-wave greater than 8 (for a left ventricular ejection fraction ≥ 45%) or an E/A ratio less than or equal to 1.5 (for a left ventricular ejection fraction < 45%).Conclusions: The American Society of Echocardiography and the European Association of Cardiovascular Imaging guidelines do not accurately assess pulmonary artery occlusion pressure in ventilated critically ill patients. Simple Doppler measurements gave a similar level of diagnostic performance with less uncertainly. [ABSTRACT FROM AUTHOR]

Objectives: Reliable automated handheld vital microscopy image sequence analysis and the identification of disease states and effects of therapy are prerequisites for the routine use of quantitative sublingual microcirculation measurements at the point-of-care. The present study aimed to clinically validate the recently introduced MicroTools software in a large multicentral database of perioperative and critically ill patients and to use this automatic algorithm to data-mine and identify the sublingual microcirculatory variable changes in response to disease and therapy.Design: Retrospective algorithm-based image analysis and data-mining within a large international database of sublingual capillary microscopy. Algorithm-based analysis was compared with manual analysis for validation. Thereafter, MicroTools was used to identify the functional microcirculatory alterations associated with disease conditions and identify therapeutic options for recruiting functional microcirculatory variables.Setting: Ten perioperative/ICU/volunteer studies in six international teaching hospitals.Patients: The database encompass 267 adult and pediatric patients undergoing surgery, treatment for sepsis, and heart failure in the ICU and healthy volunteers.Interventions: Perioperative and ICU standard of care.Measurements and Main Results: One thousand five hundred twenty-five handheld vital microscopy image sequences containing 149,257 microscopy images were analyzed. 3.89 × 10 RBC positions were tracked by the algorithm in real time, and offline manual analysis was performed. Good correlation and trending ability were found between manual and automatic total and functional capillary density (r = 0.6-0.8; p < 0.0001). RBC tracking within the database demonstrated changes in functional capillary density and/or RBC velocity in septic shock, heart failure, hypovolemia, obstructive shock, and hemodilution and thus detected the presence of a disease condition. Therapies recruiting the microcirculatory diffusion and convection capacity associated with systemic vasodilation and an increase in cardiac output were separately identified.Conclusions: Algorithm-based analysis of the sublingual microcirculation closely matched manual analysis across a broad spectrum of populations. It successfully identified a methodology to quantify microcirculatory alterations associated with disease and the success of capillary recruitment, improving point-of-care application of microcirculatory-targeted resuscitation procedures. [ABSTRACT FROM AUTHOR]

Objectives: The aim of this study was to evaluate the prognostic performance of the peak amplitude of P25/30 cortical somatosensory evoked potentials in predicting nonawakening in targeted temperature management-treated cardiac arrest patients.Design: Prospective analysis.Setting: Four academic tertiary care hospitals.Patients: Eighty-seven cardiac arrest survivors after targeted temperature management.Interventions: Analysis of the amplitude of P25/30.Measurements and Main Results: In all participants, somatosensory evoked potentials were recorded after rewarming, and bilaterally absent pupillary and corneal reflexes were evaluated at 72 hours after the return of spontaneous circulation. We analyzed the amplitudes of the N20 and P25/30 peaks and the N20-P25/30 complex in cortical somatosensory evoked potentials. Upon hospital discharge, 87 patients were dichotomized into the awakening and nonawakening groups. The lowest amplitudes of N20, P25/30, and N20-P25/30 in the awakening patients were 0.17, 0.45, and 0.73 μV, respectively, and these thresholds showed a sensitivity of 70.5% (95% CI, 54.8-83.2%), 86.4% (95% CI, 72.7-94.8%), and 75.0% (95% CI, 59.7-86.8%), respectively, for nonawakening. The area under the curve of the P25/30 amplitude was significantly higher than that of the N20 amplitude (0.955 [95% CI, 0.912-0.998] vs 0.894 [95% CI, 0.819-0.969]; p = 0.036) and was comparable with that of the N20-P25/30 amplitude (0.931 [95% CI, 0.873-0.989]). Additionally, adding resuscitation variables or an absent brainstem reflex to the P25/30 amplitude showed a trend toward improving prognostic performance compared with the use of other somatosensory evoked potential amplitudes (area under the curve, 0.958; 95% CI, 0.917-0.999 and area under the curve, 0.974; 95% CI, 0.914-0.996, respectively).Conclusions: Our results provide evidence that the absence of the P25/30 peak and a reduction in the P25/30 amplitude may be considered prognostic indicators in these patients. [ABSTRACT FROM AUTHOR]

Objectives: Severe acute respiratory distress syndrome is complicated with coronavirus disease 2019 and extracorporeal membrane oxygenation support may be necessary in severe cases. This study is to summarize the clinical features, extracorporeal membrane oxygenation characteristics, and outcomes of patients with severe acute respiratory syndrome coronavirus 2 pneumonia received extracorporeal membrane oxygenation.Design: Descriptive study from two hospitals.Setting: The ICUs from university hospitals.Patients: Patients with severe acute respiratory syndrome coronavirus 2 pneumonia received mechanical ventilation, including those underwent extracorporeal membrane oxygenation from Zhongnan Hospital of Wuhan University and Wuhan Pulmonary Hospital from January 8, 2020, to March 31, 2020.Interventions: None.Measurements and Main Results: Clinical records, laboratory results, ventilator parameters, and extracorporeal membrane oxygenation-related data were abstracted from the medical records. One-hundred twenty-nine critically ill patients with severe acute respiratory syndrome coronavirus 2 pneumonia were admitted to ICU of the two referral hospitals. Fifty-nine patients received mechanical ventilation and 21 of them received extracorporeal membrane oxygenation support (fourteen from Zhongnan hospital and seven from Wuhan pulmonary hospital). Compared to mechanical ventilation patients without extracorporeal membrane oxygenation support, there was a tendency of decline in mortality but with no significant difference (no-extracorporeal membrane oxygenation group 24/38 [63.2%] vs extracorporeal membrane oxygenation group 12/21 [57.1%]; p = 0.782). For those patients with extracorporeal membrane oxygenation, 12 patients died and nine survived by April 7, 2020. Among extracorporeal membrane oxygenation patients, the PaCO2 prior to extracorporeal membrane oxygenation was lower (54.40 mm Hg [29.20-57.50 mm Hg] vs 63.20 mm Hg [55.40-72.12 mm Hg]; p = 0.006), and pH prior to extracorporeal membrane oxygenation was higher (7.38 [7.28-7.48] vs 7.23 [7.16-7.33]; p = 0.023) in survivors than nonsurvivors.Conclusions: Extracorporeal membrane oxygenation might be an effective salvage treatment for patients with severe acute respiratory syndrome coronavirus 2 pneumonia associated with severe acute respiratory distress syndrome. Severe CO2 retention and acidosis prior to extracorporeal membrane oxygenation indicated a poor prognosis. [ABSTRACT FROM AUTHOR]

Objectives: To measure the diagnostic accuracy, timeliness, and ease of use of Ceribell rapid response electroencephalography. We assessed physicians' diagnostic assessments and treatment plans before and after rapid response electroencephalography assessment. Primary outcomes were changes in physicians' diagnostic and therapeutic decision making and their confidence in these decisions based on the use of the rapid response electroencephalography system. Secondary outcomes were time to electroencephalography, setup time, ease of use, and quality of electroencephalography data.Design: Prospective multicenter nonrandomized observational study.Setting: ICUs in five academic hospitals in the United States.Subjects: Patients with encephalopathy suspected of having nonconvulsive seizures and physicians evaluating these patients.Interventions: Physician bedside assessment of sonified electroencephalography (30 s from each hemisphere) and visual electroencephalography (60 s) using rapid response electroencephalography.Measurements and Main Results: Physicians (29 fellows or residents, eight attending neurologists) evaluated 181 ICU patients; complete clinical and electroencephalography data were available in 164 patients (average 58.6 ± 18.7 yr old, 45% females). Relying on rapid response electroencephalography information at the bedside improved the sensitivity (95% CI) of physicians' seizure diagnosis from 77.8% (40.0%, 97.2%) to 100% (66.4%, 100%) and the specificity (95% CI) of their diagnosis from 63.9% (55.8%, 71.4%) to 89% (83.0%, 93.5%). Physicians' confidence in their own diagnosis and treatment plan were also improved. Time to electroencephalography (median [interquartile range]) was 5 minutes (4-10 min) with rapid response electroencephalography while the conventional electroencephalography was delayed by several hours (median [interquartile range] delay = 239 minutes [134-471 min] [p < 0.0001 using Wilcoxon signed rank test]). The device was rated as easy to use (mean ± SD: 4.7 ± 0.6 [1 = difficult, 5 = easy]) and was without serious adverse effects.Conclusions: Rapid response electroencephalography enabled timely and more accurate assessment of patients in the critical care setting. The use of rapid response electroencephalography may be clinically beneficial in the assessment of patients with high suspicion for nonconvulsive seizures and status epilepticus. [ABSTRACT FROM AUTHOR]

Objectives: Recently, the definition of sepsis has changed from a physiologic derangement (Sepsis-1 and -2) to organ dysfunction (Sepsis-3) based. We sought to determine the concordance between the different sepsis phenotypes and how that affected mortality.Design: Retrospective, multicenter study.Setting: Three academic medical centers.Patients: 29,459 patients who had suspected infection, defined as obtaining blood cultures and receiving antibiotics: 18,183 (62%) had either Sepsis-2 or Sepsis-3.Measurements and Main Results: Kappa was used to show agreement between phenotypes. Conditional logistic regression was used to create models of associations between factors and phenotypes and between factors and mortality. About 12,981 patients had Sepsis-2; 12,043 had Sepsis-3; and 6,841 patients had both Sepsis-2 and Sepsis-3. Fifty-three percent of Sepsis-2 patients also had Sepsis-3, whereas 57% of Sepsis-3 patients also had Sepsis-2. Agreement between the two phenotypes was poor: kappa = 0.213 ± 0.006. Mortality was 6% in patients with only Sepsis-2, 10% with only Sepsis-3, and 18% in patients who had both phenotypes. Combining the variables in Sepsis-2 and Sepsis-3 improved the discrimination (C-statistic = 0.742 ± 0.005, p < 0.001) of mortality.Conclusions: We found that Sepsis-2 and Sepsis-3-based sepsis diagnoses represent separate phenotypes with poor agreement. Patients who have both phenotypes are at increased risk of mortality compared with having either phenotype alone. Inclusion of both systemic inflammatory response syndrome and Sequential Organ Failure Assessment criteria in the same model improves the discrimination of mortality. [ABSTRACT FROM AUTHOR]

Objective: To determine the effects of adjunctive therapeutic hypothermia, by comparing hyperbaric oxygen therapy versus hyperbaric oxygen therapy combined with therapeutic hypothermia in acute severe carbon monoxide poisoning.Design: Retrospective analysis of data from our prospectively collected carbon monoxide poisoning registry.Setting: A single academic medical center in Wonju, Republic of Korea.Patients: Patients with acute severe carbon monoxide poisoning older than 18 years. Acute severe carbon monoxide poisoning was defined as mental status showing response to painful stimulus or unresponsive at the emergency department, and a continuation of this depressed mental status even after the first hyperbaric oxygen therapy. Patients were classified into the no-therapeutic hypothermia and therapeutic hypothermia groups. Hyperbaric oxygen therapy was performed up to twice within 24 hours after emergency department arrival, whereas therapeutic hypothermia was performed at a body temperature goal of 33°C for 24 hours using an endovascular cooling device after the first hyperbaric oxygen therapy.Interventions: Hyperbaric oxygen therapy versus hyperbaric oxygen therapy combined with therapeutic hypothermia.Measurements and Main Results: We investigated the difference in the Global Deterioration Scale score at 1 and 6 months after carbon monoxide exposure, between the no-therapeutic hypothermia and therapeutic hypothermia groups. Global Deterioration Scale scores were classified as follows: 1-3 points (favorable neurocognitive outcome) and 4-7 points (poor neurocognitive outcome). During the study period, 37 patients were treated for acute severe carbon monoxide poisoning, with 16 and 21 patients in the no-therapeutic hypothermia and therapeutic hypothermia groups, respectively. The therapeutic hypothermia group demonstrated significantly higher number of patients with favorable outcomes (p = 0.008) at 6 months after carbon monoxide exposure and better improvement of the 6-month Global Deterioration Scale score than the 1-month score (p = 0.006).Conclusions: Our data suggest that in acute severe carbon monoxide poisoning, patients who were treated using therapeutic hypothermia combined with hyperbaric oxygen therapy had significantly more favorable neurocognitive outcomes at 6 months after carbon monoxide exposure than those treated with hyperbaric oxygen therapy alone. [ABSTRACT FROM AUTHOR]

Objectives: Critically ill surgical patients may receive concomitant aspirin and therapeutic anticoagulation postoperatively, yet the safety of this practice remains unknown. We evaluated the risk of major bleeding with concomitant therapy compared with anticoagulation alone.Design: Observational cohort study. Inverse probability of treatment weighting was used to assess the association between concomitant therapy and a primary outcome of major bleeding.Setting: Postoperative ICUs at an academic medical center.Patients: Adults (≥ 18 yr old) receiving anticoagulation during postoperative ICU admission between 2007 and 2016.Interventions: None.Measurements and Main Results: Nine thousand five hundred eighteen anticoagulated patients were included, including 3,237 (34%) receiving aspirin. A total of 1,874 unique patients (19.7%) experienced a major bleeding event. In inverse probability of treatment weighting analyses, concomitant therapy was associated with increased odds for major bleeding (odds ratio, 1.20; 95% CI, 1.05-1.36; p = 0.006) compared with anticoagulation alone. An interaction test suggested a differential relationship between aspirin use and major bleeding based on aspirin use in the 7 days prior to anticoagulation, such that a strong association between aspirin and major bleeding was observed for recent initiators of aspirin (1.40; 1.13-1.72;p = 0.002) but not for those continuing prior aspirin use. Aspirin use prior to anticoagulation did not modify the relationship between concomitant therapy and new myocardial infarction or stroke (i.e., rates were not increased with aspirin discontinuation prior to anticoagulation).Conclusions: Concomitant aspirin and anticoagulation in critically ill surgical patients was associated with an increased rate of major bleeding. Future investigations are warranted to further define optimal management of antiplatelet therapy during anticoagulation in surgical patients. [ABSTRACT FROM AUTHOR]

Objectives: To compare electrographic seizures, hyperexcitable patterns, and clinical outcomes in lobar and deep intraparenchymal hemorrhage. Additionally, to characterize electrographic seizure and hyperexcitable pattern predictors in each group and determine seizure risk with thalamic involvement.Design: Retrospective cohort study.Setting: Tertiary academic medical center.Patients: Consecutive adult patients with nontraumatic intraparenchymal hemorrhage undergoing continuous electroencephalography at our center between January 2013 and December 2016.Interventions: Not applicable.Measurements and Main Results: Based on head CT closest to the initial continuous electroencephalography session, we classified intraparenchymal hemorrhage as isolated deep (no insular, subarachnoid, subdural extension) or lobar. Hyperexcitable patterns included the following: periodic discharges, spike-wave complexes, any rhythmic delta other than generalized. We used Fisher exact test for categorical and Mann-Whitney U test for continuous variables. Multivariable regression identified predictors of electrographic seizures, hyperexcitable patterns, and poor outcomes (score of 1-2 on Glasgow Outcome Scale) in lobar intraparenchymal hemorrhage. The cohort comprised of 128 patients, 88 lobar, and 40 deep intraparenchymal hemorrhage. Electrographic seizures occurred in 17% of lobar and 5% of deep intraparenchymal hemorrhage (p = 0.09). Hyperexcitable patterns were more frequent in the lobar group (44.3% vs 17.5%; p = 0.005). In multivariable analyses in the lobar group, lateralized rhythmic delta activity predicted electrographic seizures (odds ratio, 6.24; CI, 1.49-26.08; p = 0.012); insular involvement predicted hyperexcitable patterns (odds ratio, 4.88; CI, 1.36-17.57; p = 0.015); coma, temporal lobe involvement, intraparenchymal hemorrhage volume, and electrographic seizures predicted poor outcome. Thalamic involvement did not affect electrographic seizures or hyperexcitable patterns in either group.Conclusions: Electrographic seizures are frequent in lobar intraparenchymal hemorrhage, occurring in one in six monitored patients, as opposed to only 5% in isolated deep intraparenchymal hemorrhage not extending to cortex/insula, subarachnoid, or subdural spaces. Patients with lobar intraparenchymal hemorrhage and lateralized rhythmic delta activity were six times as likely to have electrographic seizures, which were associated with 5.47 higher odds of a poor outcome. Coma, temporal lobe involvement, hematoma volume, and electrographic seizures predicted poor outcome in lobar intraparenchymal hemorrhage. [ABSTRACT FROM AUTHOR]

Objectives: To characterize acute alterations of circadian and ultradian rest-activity rhythms in critically ill patients and their association with brain dysfunction, systemic multiple organ dysfunction, and melatonin rhythms.Design: Prospective study observing a cohort for 48 hours beginning within the first day of ICU admission.Setting: ICUs within an academic medical center.Patients: Patients presenting from the community with acute onset of either intracerebral hemorrhage or sepsis as representative neurologic and systemic critical illnesses. Healthy control patients were studied in the community, during hospital bedrest, and during sleep deprivation.Interventions: None.Measurements and Main Results: Circadian and ultradian characteristics of rest-activity patterns were measured by wrist actigraphy, severity of neurologic and systemic illness by Glasgow Coma Scale and Sequential Organ Failure Assessment, and central circadian rhythm by melatonin profile. We studied 112 critically ill patients, including 53 with sepsis and 59 with intracerebral hemorrhage, along with 53 control participants. Total daily activity was markedly reduced and rest-activity rhythmicity was undetectable, neither of which was replicated by hospital bedrest in healthy controls. Circadian rest-activity rhythm fragmentation and attenuation and ultradian disorganization was associated with Glasgow Coma Scale and Sequential Organ Failure Assessment in adjusted models. Rest-activity rhythms showed no detectable phase coherence with melatonin rhythms.Conclusions: Critically ill patients rapidly enter a state of behavioral quiescence proportionate to their illness severity with concomitant disturbance of circadian and ultradian rest-activity rhythms and loss of phase coherence with the melatonin rhythm. Quiescence characteristics in rest-activity rhythms were not different in patients with and without delirium, suggesting them to be distinct phenomena. Animal models of severe physiologic stress have shown that specific neural pathway separate from the sleep-wake regulatory pathway induce behavioral quiescence and rest-activity arrhythmia, and facilitate recovery of cellular homeostasis. Whether quiescence is a conserved protective response pathway in humans is not yet understood. [ABSTRACT FROM AUTHOR]

Objectives: The circadian system modulates many important physiologic processes, synchronizing tissue-specific functions throughout the body. We sought to characterize acute alterations of circadian rhythms in critically ill patients and to evaluate associations between brain dysfunction, systemic multiple organ dysfunction, environmental stimuli that entrain the circadian rhythm (zeitgebers), rest-activity rhythms, and the central circadian rhythm-controlled melatonin secretion profile.Design: Prospective study observing a cohort for 24-48 hours beginning within the first day of ICU admission.Setting: Multiple specialized ICUs within an academic medical center.Patients: Patients presenting from the community with acute onset of either intracerebral hemorrhage as a representative neurologic critical illness or sepsis as a representative systemic critical illness. Healthy control patients were studied in using modified constant routine in a clinical research unit.Interventions: None.Measurements and Main Results: Light, feeding, activity, medications, and other treatment exposures were evaluated along with validated measures of encephalopathy (Glasgow Coma Scale), multiple organ system function (Sequential Organ Failure Assessment score), and circadian rhythms (profiles of serum melatonin and its urinary metabolite 6-sulphatoxymelatonin). We studied 112 critically ill patients, including 53 with sepsis and 59 with intracerebral hemorrhage. Environmental exposures were abnormal, including light (dim), nutritional intake (reduced or absent and mistimed), and arousal stimuli (increased and mistimed). Melatonin amplitude and acrophase timing were generally preserved in awake patients but dampened and delayed with increasing encephalopathy severity. Melatonin hypersecretion was observed in patients exposed to catecholamine vasopressor infusions, but unaffected by sedatives. Change in vasopressor exposure was the only factor associated with changes in melatonin rhythms between days 1 and 2.Conclusions: Encephalopathy severity and adrenergic agonist medication exposure were the primary factors contributing to abnormal melatonin rhythms. Improvements in encephalopathy and medical stabilization did not rapidly normalize rhythms. Urinary 6-sulphatoxymelatonin is not a reliable measure of the central circadian rhythm in critically ill patients. [ABSTRACT FROM AUTHOR]

Objectives: To determine the number of top-ranked U.S. academic institutions that require ethics consultation for specific adult clinical circumstances (e.g., family requests for potentially inappropriate treatment) and to detail those circumstances and the specific clinical scenarios for which consultations are mandated.Design: Cross-sectional survey study, conducted online or over the phone between July 2016 and October 2017.Setting: We identified the top 50 research medical schools through the 2016 U.S. News and World Report rankings. The primary teaching hospital for each medical school was included.Subjects: The chair/director of each hospital's adult clinical ethics committee, or a suitable alternate representative familiar with ethics consultation services, was identified for study recruitment.Interventions: None.Measurements and Main Results: A representative from the adult ethics consultation service at each of the 50 target hospitals was identified. Thirty-six of 50 sites (72%) consented to participate in the study, and 18 (50%) reported having at least one current mandatory consultation policy. Of the 17 sites that completed the survey and listed their triggers for mandatory ethics consultations, 20 trigger scenarios were provided, with three sites listing two distinct clinical situations. The majority of these triggers addressed family requests for potentially inappropriate treatment (9/20, 45%) or medical decision-making for unrepresented patients lacking decision-making capacity (7/20, 35%). Other triggers included organ donation after circulatory death, initiation of extracorporeal membrane oxygenation, denial of valve replacement in patients with subacute bacterial endocarditis, and posthumous donation of sperm. Twelve (67%) of the 18 sites with mandatory policies reported that their protocol(s) was formally documented in writing.Conclusions: Among top-ranked academic medical centers, the existence and content of official policies regarding situations that mandate ethics consultations are variable. This finding suggests that, despite recent critical care consensus guidelines recommending institutional review as standard practice in particular scenarios, formal adoption of such policies has yet to become widespread and uniform. [ABSTRACT FROM AUTHOR]

Objectives: Septic shock is a subset of sepsis related to acute circulatory failure characterized by severe immunosuppression and high mortality. Current knowledge about B-cell status in the immunosuppressive phase of septic shock is sparse. The aim of this study was to investigate the alterations of B Cells in the immunosuppressive phase of septic shock.Design: Prospective cohort study.Setting: Adult ICUs at a university hospital.Patients: Adult septic shock patients without any documented immune comorbidity.Interventions: None.Measurements and Main Results: The absolute counts of lymphocytes and B cells of 81 patients and 13 healthy controls, and serum immunoglobulin levels of 64 patients and 10 healthy controls were determined by clinical laboratory. The percentages and counts of B-cell subsets of 33 patients and 10 healthy controls and the immunoglobulin M expression on B-cell subsets of 20 patients and five healthy controls were quantified by flow cytometry. Immunoglobulin levels produced by B cells after stimulation in vitro of 20 patients and five healthy controls were tested by enzyme-linked immunosorbent assay. Redistribution and selective depletion of B-cell subsets in septic shock patients were discovered, and a decrease in immunoglobulin M levels was associated with a reduction in resting memory B-cell counts. These alterations were more pronounced in nonsurvivors compared with survivors. Additionally, receiver operating characteristic curve analysis showed that the data of B-cell subsets had the best predictive value for mortality risk.Conclusions: Severe B-cell abnormalities are present in the immunosuppressive phase of septic shock and are associated with prognosis. [ABSTRACT FROM AUTHOR]

Objectives: To evaluate associations between a readily availvable composite measurement of neighborhood socioeconomic disadvantage (the area deprivation index) and 30-day readmissions for patients who were previously hospitalized with sepsis.Design: A retrospective study.Setting: An urban, academic medical institution.Patients: The authors conducted a manual audit for adult patients (18 yr old or older) discharged with an International Classification of Diseases, 10th edition code of sepsis during the 2017 fiscal year to confirm that they met SEP-3 criteria.Interventions: None.Measurements and Main Results: The area deprivation index is a publicly available composite score constructed from socioeconomic components (e.g., income, poverty, education, housing characteristics) based on census block level, where higher scores are associated with more disadvantaged areas (range, 1-100). Using discharge data from the hospital population health database, residential addresses were geocoded and linked to their respective area deprivation index. Patient characteristics, contextual-level variables, and readmissions were compared by t tests for continuous variables and Fisher exact test for categorical variables. The associations between readmissions and area deprivation index were explored using logistic regression models. A total of 647 patients had an International Classification of Diseases, 10th edition diagnosis code of sepsis. Of these 647, 116 (17.9%) either died in hospital or were discharged to hospice and were excluded from our analysis. Of the remaining 531 patients, the mean age was 61.0 years (± 17.6 yr), 281 were females (52.9%), and 164 (30.9%) were active smokers. The mean length of stay was 6.9 days (± 5.6 d) with the mean Sequential Organ Failure Assessment score 4.9 (± 2.5). The mean area deprivation index was 54.2 (± 23.8). The mean area deprivation index of patients who were readmitted was 62.5 (± 27.4), which was significantly larger than the area deprivation index of patients not readmitted (51.8 [± 22.2]) (p < 0.001). In adjusted logistic regression models, a greater area deprivation index was significantly associated with readmissions (β, 0.03; p < 0.001).Conclusions: Patients who reside in more disadvantaged neighborhoods have a significantly higher risk for 30-day readmission following a hospitalization for sepsis. The insight provided by neighborhood disadvantage scores, such as the area deprivation index, may help to better understand how contextual-level socioeconomic status affects the burden of sepsis-related morbidity. [ABSTRACT FROM AUTHOR]

Objectives: Team rounding in the ICU can tax clinicians' finite attentional resources. We hypothesized that a novel approach to rounding, where patients are seen in a decreasing order of acuity, would decrease attentional attrition.Design: Prospective interventional internal-control cohort study in which stop signal task testing was used as a proxy for attentional reserves. Stop signal task is a measure of cognitive control and response inhibition in addition to performance monitoring, all reflective of executive control abilities, and our surrogate for attentional reserves.Setting: The ICUs of Vanderbilt University Medical Center (site 1) and the University of Pennsylvania (site 2) from November 2014 to August 2017.Subjects: Thirty-three clinicians at site 1, and 24 clinicians at site 2.Interventions: Acuity-based rounding, in which clinicians round from highest to lowest acuity as determined by Sequential Organ Failure Assessment score or an equivalent acuity score.Measurements and Main Results: The stop signal task results of ICU staff at two sites were compared for conventional (in room order) versus novel (in decreasing order of acuity) rounding order. At site 1, the difference in stop signal reaction time change between two rounding types was -39.0 ms (95% CI, -50.6 to -27.4 ms; p < 0.001), and at site 2, the performance stop signal reaction time was -15.6 ms (95% CI, -29.1 to -2.1 ms; p = 0.023). These sub-second changes, while small, are significant in the neuroscience domain.Conclusions: Rounding in decreasing order of patient acuity mitigated attrition in attentional reserves when compared with the traditional rounding method. [ABSTRACT FROM AUTHOR]