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Delirium is a heterogeneous syndrome characterized by an acute change in level of consciousness that is associated with inattention and disorganized thinking. Delirium affects most critically ill patients and is associated with poor patient-oriented outcomes such as increased mortality, longer ICU and hospital length of stay, and worse long-term cognitive outcomes. The concept of delirium and its subtypes has existed since nearly the beginning of recorded medical literature, yet robust therapies have yet to be identified. Analogous to other critical illness syndromes, we suspect the lack of identified therapies stems from patient heterogeneity and prior subtyping efforts that do not capture the underlying etiology of delirium. The time has come to leverage machine learning approaches, such as supervised and unsupervised clustering, to identify clinical and pathophysiological distinct clusters of delirium that will likely respond differently to various interventions. We use sedation in the ICU as an example of how precision therapies can be applied to critically ill patients, highlighting the fact that while for some patients a sedative drug may cause delirium, in another cohort sedation is the specific treatment. Finally, we conclude with a proposition to move away from the term delirium, and rather focus on the treatable traits that may allow precision therapies to be tested. [ABSTRACT FROM AUTHOR]

The article discusses the relationship between patient volume, strain, and mortality in the ICU during the COVID-19 pandemic. It highlights that overall mortality increases with patient volume, particularly when patient acuity is high. The impact of surge and strain on mortality is not linear and is influenced by factors such as clinician-to-patient ratios, hospital resources, patient diagnoses, and acuity. The article also mentions that previous studies have shown an increase in mortality during periods of increased strain in the ICU. The authors conducted a systematic review of 39 studies on pandemic surge and found that mortality rates increased during COVID-19 surges. [Extracted from the article]

OBJECTIVES: To conduct a systematic review and meta-analysis assessing whether the use of antipsychotic medications in critically ill adult patients with delirium impacts patient-important outcomes. DATA SOURCES: A medical librarian searched Ovid MEDLINE, EMBASE, APA PsycInfo, and Wiley's Cochrane Library as well as clinicaltrials.gov and the World Health Organization International Clinical Trials Registry Platform up to November 2023. STUDY SELECTION: Independently and in duplicate, reviewers screened abstracts and titles for eligibility, then full text of qualifying studies. We included parallel-group randomized controlled trials (RCTs) that included critically ill adult patients with delirium. The intervention group was required to receive antipsychotic medications at any dose, whereas the control group received usual care or placebo. DATA EXTRACTION: Reviewers extracted data independently and in duplicate using a piloted abstraction form. Statistical analyses were conducted using RevMan software (version 5.4). DATA SYNTHESIS: Five RCTs (n = 1750) met eligibility criteria. The use of antipsychotic medications compared with placebo did not increase the number of delirium- or coma-free days (mean difference 0.90 d; 95% CI, -0.32 to 2.12; moderate certainty), nor did it result in a difference in mortality, duration of mechanical ventilation, ICU, or hospital length of stay. The use of antipsychotics did not result in an increased risk of adverse events (risk ratio 1.27; 95% CI, 0.71-2.30; high certainty). Subgroup analysis of typical versus atypical antipsychotics did not identify any subgroup effect for any outcome. CONCLUSIONS: In conclusion, our systematic review and meta-analysis demonstrated with moderate certainty that there is no difference in delirium- or coma-free days when delirious critically ill adults are treated with antipsychotic medications. Further studies in the subset of patients with hyperactive delirium may be of benefit. [ABSTRACT FROM AUTHOR]

The article discusses the importance of physical activity for patients in the intensive care unit (ICU) and the need for better implementation of early mobility interventions. It highlights the findings of a scoping review that assessed the reporting of treatment fidelity in studies of physical rehabilitation for critically ill patients. The review found that studies often did not report important elements of treatment fidelity, such as intervention protocol adherence and participant understanding and application of the intervention. The authors propose strategies for improving study design, provider training, monitoring and delivery of treatment, and the measurement of treatment receipt. They emphasize the need for rigorous and reproducible research in order to improve the effectiveness of ICU physical rehabilitation interventions. [Extracted from the article]

OBJECTIVES: Nonpharmacologic delirium management is recommended by current guidelines, but studies on the impact of ICU design are still limited. The study's primary purpose was to determine if a multicomponent change in room design prevents ICU delirium. Second, the influence of lighting conditions on serum melatonin was assessed. DESIGN: Prospective observational cohort pilot study. SETTING: The new design concept was established in two two-bed ICU rooms of a university hospital. Besides modifications aimed at stress relief, it includes a new dynamic lighting system. PATIENTS: Seventy-four adult critically ill patients on mechanical ventilation with an expected ICU length of stay of at least 48 hours, treated in modified or standard rooms. INTERVENTIONS: None. MEASUREMENTS AND MAIN RESULTS: The clinical examination included a prospective assessment for depth of sedation, delirium, and pain every 8 hours using validated scores. Blood samples for serum melatonin profiles were collected every 4 hours for a maximum of three 24-hour periods. Seventy-four patients were included in the analysis. Seventy-six percent (n = 28) of patients in the standard rooms developed delirium compared with 46% of patients (n = 17) in the modified rooms (p = 0.017). Patients in standard rooms (vs. modified rooms) had a 2.3-fold higher delirium severity (odds ratio = 2.292; 95% CI, 1.582-3.321; p < 0.0001). Light intensity, calculated using the measure of circadian effective irradiance, significantly influenced the course of serum melatonin (p < 0.0001). Significant interactions (p < 0.001) revealed that differences in serum melatonin between patients in standard and modified rooms were not the same over time but varied in specific periods of time. CONCLUSIONS: Modifications in ICU room design may influence the incidence and severity of delirium. Dedicated light therapy could potentially influence delirium outcomes by modulating circadian melatonin levels. [ABSTRACT FROM AUTHOR]

OBJECTIVES: To summarize the effectiveness of implementation strategies for ICU execution of recommendations from the 2013 Pain, Agitation/Sedation, Delirium (PAD) or 2018 PAD, Immobility, Sleep Disruption (PADIS) guidelines. DATA SOURCES: PubMed, CINAHL, Scopus, and Web of Science were searched from January 2012 to August 2023. The protocol was registered with PROSPERO (CRD42020175268). STUDY SELECTION: Articles were included if: 1) design was randomized or cohort, 2) adult population evaluated, 3) employed recommendations from greater than or equal to two PAD/PADIS domains, and 4) evaluated greater than or equal to 1 of the following outcome(s): short-term mortality, delirium occurrence, mechanical ventilation (MV) duration, or ICU length of stay (LOS). DATA EXTRACTION: Two authors independently reviewed articles for eligibility, number of PAD/PADIS domains, quality according to National Heart, Lung, and Blood Institute assessment tools, implementation strategy use (including Assess, prevent, and manage pain; Both SAT and SBT; Choice of analgesia and sedation; Delirium: assess, prevent, and manage; Early mobility and exercise; Family engagement and empowerment [ABCDEF] bundle) by Cochrane Effective Practice and Organization of Care (EPOC) category, and clinical outcomes. Certainty of evidence was assessed using Grading of Recommendations Assessment, Development, and Evaluation. DATA SYNTHESIS: Among the 25 of 243 (10.3%) full-text articles included (n = 23,215 patients), risk of bias was high in 13 (52%). Most studies were cohort (n = 22, 88%). A median of 5 (interquartile range [IQR] 4-7) EPOC strategies were used to implement recommendations from two (IQR 2-3) PAD/PADIS domains. Cohort and randomized studies were pooled separately. In the cohort studies, use of EPOC strategies was not associated with a change in mortality (risk ratio [RR] 1.01; 95% CI, 0.9-1.12), or delirium (RR 0.92; 95% CI, 0.82-1.03), but was associated with a reduction in MV duration (weighted mean difference [WMD] -0.84 d; 95% CI, -1.25 to -0.43) and ICU LOS (WMD -0.77 d; 95% CI, -1.51 to 0.04). For randomized studies, EPOC strategy use was associated with reduced mortality and MV duration but not delirium or ICU LOS. CONCLUSIONS: Using multiple implementation strategies to adopt PAD/PADIS guideline recommendations may reduce mortality, duration of MV, and ICU LOS. Further prospective, controlled studies are needed to identify the most effective strategies to implement PAD/PADIS recommendations. [ABSTRACT FROM AUTHOR]

OBJECTIVES: To assess whether delirium during ICU stay is associated with subsequent change in treatment of cancer after discharge. DESIGN: Retrospective cohort study. SETTING: A 50-bed ICU in a dedicated cancer center. PATIENTS: Patients greater than or equal to 18 years old with a previous proposal of cancer treatment (chemotherapy, target therapy, hormone therapy, immunotherapy, radiotherapy, oncologic surgery, and bone marrow transplantation). INTERVENTIONS: None. MEASUREMENTS AND MAIN RESULTS: We considered delirium present if Confusion Assessment Method for the ICU was positive. We assessed the association between delirium and modification of the treatment after discharge. We also performed a mediation analysis to assess both the direct and indirect (i.e., mediated by the development of functional dependence after discharge) of delirium on modification of cancer treatment and whether the modification of cancer treatment was associated with mortality at 1 year. We included 1,134 patients, of whom, 189 (16.7%) had delirium. Delirium was associated with the change in cancer treatment (adjusted odds ratio [OR], 3.80; 95% CI, 2.72–5.35). The association between delirium in ICU and change of treatment was both direct and mediated by the development of functional dependence after discharge. The proportion of the total effect of delirium on change of treatment mediated by the development of functional dependence after discharge was 33.0% (95% CI, 21.7–46.0%). Change in treatment was associated with increased mortality at 1 year (adjusted OR, 2.68; 95% CI, 2.01–3.60). CONCLUSIONS: Patients who had delirium during ICU stay had a higher rate of modification of cancer treatment after discharge. The effect of delirium on change in cancer treatment was only partially mediated by the development of functional dependence after discharge. Change in cancer treatment was associated with increased 1-year mortality. [ABSTRACT FROM AUTHOR]

ObjectivesPrimary objective is to determine if transfusion of short storage RBCs compared with standard issue RBCs reduced risk of delirium/coma in critically ill children. Secondary objective is to assess if RBC transfusion was independently associated with delirium/coma.DesignThis study was performed in two stages. First, we compared patients receiving either short storage or standard RBCs in a multi-institutional prospective randomized controlled trial. Then, we compared all transfused patients in the randomized controlled trial with a single-center cohort of nontransfused patients matched for confounders of delirium/coma.SettingTwenty academic PICUs who participated in the Age of Transfused Blood in Critically Ill Children trial.PatientsChildren 3 days to 16 years old who were transfused RBCs within the first 7 days of admission.InterventionsSubjects were randomized to either short storage RBC study arm (defined as RBCs stored for up to seven days) or standard issue RBC study arm. In addition, subjects were screened for delirium prior to transfusion and every 12 hours after transfusion for up to 3 days.Measurements and main resultsPrimary outcome measure was development of delirium/coma within 3 days of initial transfusion. Additional outcome measures were dose-response relationship between volume of RBCs transfused and delirium/coma, and comparison of delirium/coma rates between transfused patients and individually matched nontransfused patients. We included 146 subjects in the stage I analysis; 69 were randomized to short storage RBCs and 77 to standard issue. There was no significant difference in delirium/coma development between study arms (79.5% vs 70.1%; p = 0.184). In the stage II analysis, adjusted odds for delirium in the transfused cohort was more than eight-fold higher than in the nontransfused matched cohort, even after controlling for hemoglobin (adjusted odds ratio, 8.9; CI, 2.8-28.4; p < 0.001).ConclusionsRBC transfusions (and not anemia) are independently associated with increased odds of subsequent delirium/coma. However, storage age of RBCs does not affect delirium risk.

A study published in Critical Care Medicine explores the impact of delirium on cancer patients who are admitted to the intensive care unit (ICU). The study, conducted in Brazil, included patients with active cancer who experienced an unplanned ICU admission and were discharged alive from the hospital. The researchers found that ICU delirium was associated with a higher likelihood of changes in cancer treatment plans after discharge from the ICU. Delirium was also linked to a greater risk of functional dependence and increased mortality. The study highlights the need for efforts to prevent delirium in ICU patients, especially those with cancer. [Extracted from the article]

OBJECTIVES: To assess the efficacy of ramelteon in preventing delirium, an acute neuropsychiatric condition associated with increased morbidity and mortality, in the perioperative, ICU setting. DESIGN: Parallel-arm, randomized, double-blinded, placebo-controlled trial. SETTING: Academic medical center in La Jolla, California. PATIENTS: Patients greater than or equal to 18 years undergoing elective pulmonary thromboendarterectomy. INTERVENTIONS: Ramelteon 8 mg or matching placebo starting the night prior to surgery and for a maximum of six nights while in the ICU. MEASUREMENTS AND MAIN RESULTS: Incident delirium was measured twice daily using the Confusion Assessment Method-ICU. The safety outcome was coma-free days assessed by the Richmond Agitation-Sedation Scale. One-hundred twenty participants were enrolled and analysis completed in 117. Delirium occurred in 22 of 58 patients allocated to placebo versus 19 of 59 allocated to ramelteon (relative risk, 0.8; 95% CI, 0.5-1.4; p = 0.516). Delirium duration, as assessed by the number of delirium-free days was also similar in both groups (placebo median 2 d [interquartile range, 2-3 d] vs ramelteon 3 d [2-5 d]; p = 0.181). Coma-free days was also similar between groups (placebo median 2 d [interquartile range, 1-3 d] vs ramelteon 3 d [2-4 d]; p = 0.210). We found no difference in ICU length of stay (median 4 d [interquartile range, 3-5 d] vs 4 d [3-6 d]; p = 0.349), or in-hospital mortality (four vs three deaths; relative risk ratio, 0.7; 95% CI, 0.2-3.2; p = 0.717), all placebo versus ramelteon, respectively. CONCLUSIONS: Ramelteon 8 mg did not prevent postoperative delirium in patients admitted for elective cardiac surgery.

OBJECTIVES: To predict impending delirium in ICU patients using recurrent deep learning. DESIGN: Retrospective cohort study. SETTING: Fifteen medical-surgical ICUs across Alberta, Canada, between January 1, 2014, and January 24, 2020. PATIENTS: Forty-three thousand five hundred ten ICU admissions from 38,426 patients. INTERVENTIONS: None. MEASUREMENTS AND MAIN RESULTS: We used ICU and administrative health data to train deep learning models to predict delirium episodes in the next two 12-hour periods (0–12 and 12–24 hr), starting at 24 hours after ICU admission, and to generate new predictions every 12 hours. We used a comprehensive set of 3,643 features, capturing patient history, early ICU admission information (first 24 hr), and the temporal dynamics of various clinical variables throughout the ICU admission. Our deep learning architecture consisted of a feature embedding, a recurrent, and a prediction module. Our best model based on gated recurrent units yielded a sensitivity of 0.810, a specificity of 0.848, a precision (positive predictive value) of 0.704, and an area under the receiver operating characteristic curve (AUROC) of 0.909 in the hold-out test set for the 0–12-hour prediction horizon. For the 12–24-hour prediction horizon, the same model achieved a sensitivity of 0.791, a specificity of 0.807, a precision of 0.637, and an AUROC of 0.895 in the test set. CONCLUSIONS: Our delirium prediction model achieved strong performance by applying deep learning to a dataset that is at least one order of magnitude larger than those used in previous studies. Another novel aspect of our study is the temporal nature of our features and predictions. Our model enables accurate prediction of impending delirium in the ICU, which can potentially lead to early intervention, more efficient allocation of ICU resources, and improved patient outcomes. [ABSTRACT FROM AUTHOR]

ObjectiveDecades-old, common ICU practices including deep sedation, immobilization, and limited family access are being challenged. We endeavoured to evaluate the relationship between ABCDEF bundle performance and patient-centered outcomes in critical care.DesignProspective, multicenter, cohort study from a national quality improvement collaborative.Setting68 academic, community, and federal ICUs collected data during a 20-month period.Patients15,226 adults with at least one ICU day.InterventionsWe defined ABCDEF bundle performance (our main exposure) in two ways: 1) complete performance (patient received every eligible bundle element on any given day) and 2) proportional performance (percentage of eligible bundle elements performed on any given day). We explored the association between complete and proportional ABCDEF bundle performance and three sets of outcomes: patient-related (mortality, ICU and hospital discharge), symptom-related (mechanical ventilation, coma, delirium, pain, restraint use), and system-related (ICU readmission, discharge destination). All models were adjusted for a minimum of 18 a priori determined potential confounders.Measurements and resultsComplete ABCDEF bundle performance was associated with lower likelihood of seven outcomes: hospital death within 7 days (adjusted hazard ratio, 0.32; CI, 0.17-0.62), next-day mechanical ventilation (adjusted odds ratio [AOR], 0.28; CI, 0.22-0.36), coma (AOR, 0.35; CI, 0.22-0.56), delirium (AOR, 0.60; CI, 0.49-0.72), physical restraint use (AOR, 0.37; CI, 0.30-0.46), ICU readmission (AOR, 0.54; CI, 0.37-0.79), and discharge to a facility other than home (AOR, 0.64; CI, 0.51-0.80). There was a consistent dose-response relationship between higher proportional bundle performance and improvements in each of the above-mentioned clinical outcomes (all p < 0.002). Significant pain was more frequently reported as bundle performance proportionally increased (p = 0.0001).ConclusionsABCDEF bundle performance showed significant and clinically meaningful improvements in outcomes including survival, mechanical ventilation use, coma, delirium, restraint-free care, ICU readmissions, and post-ICU discharge disposition.

The document titled "The authors reply" is a response to a letter to the editor regarding the PROSPECT model, which predicts long-term physical, mental, and cognitive problems following critical illness. The authors address concerns about the low estimates of cognitive impairment in ICU survivors and inquire about plans to further refine the instrument through objective neuropsychologic tests. They also ask how clinicians should handle this limitation when discussing the risk of cognitive impairment with patients and families. The authors provide their affiliations and funding sources. The document includes references to related studies on cognitive impairment and post-intensive care syndrome. [Extracted from the article]

The article discusses the PROSPECT prediction model for cognitive impairment in critical care patients. The authors acknowledge the need for further validation of the model in cohorts where more critically ill patients survive and deaths occur during follow-up. They also discuss the importance of early identification of medical issues and the role of clinicians' expertise in forming prognoses. The authors suggest that a dynamic model that incorporates new information over time may help clinicians communicate prognostic information more effectively. They also address the accessibility of the model and the challenges of assessing cognitive impairment. [Extracted from the article]

Objectives: To assess the impact of a nurse-driven patient empowerment intervention on anxiety and depression of patients during ICU discharge.Design: A prospective, multicenter, randomized clinical trial.Setting: Three ICUs (1 medical, 1 medical and surgical, and 1 coronary) of three tertiary hospitals.Patients: Adults admitted to the ICU greater than 18 years old for greater than or equal to 48 hours with preserved consciousness, the ability to communicate and without delirium, who were randomized to receive the nurse-driven patient empowerment intervention (NEI) (intervention group [IG] or standard of care [control group (CG)]) before ICU discharge.Intervention: The NEI consisted of an individualized intervention with written information booklets, combined with verbal information, mainly about the ICU process and transition to the ward, aimed at empowering patients in the transition process from the ICU to the general ward.Measurements and Results: Patients completed the Hospital Anxiety and Depression Scale before and after (up to 1 wk) ICU discharge. IG ( n = 91) and CG ( n = 87) patients had similar baseline characteristics. The NEI was associated with a significant reduction in anxiety and depression ( p < 0.001) and the presence of depression ( p = 0.006). Patients with comorbidities and those without family or friends had greater reductions in anxiety and depression after the NEI. After the intervention, women and persons with higher education levels had lower negative outcomes.Conclusions: We found that a NEI before ICU discharge can decrease anxiety and depression in critically ill survivors. The long-term effect of this intervention should be assessed in future trials.Trial Registration: NCT04527627 ( https://clinicaltrials.gov/ct2/show/NCT04527627 ). [ABSTRACT FROM AUTHOR]

OBJECTIVE:To update and expand the 2013 Clinical Practice Guidelines for the Management of Pain, Agitation, and Delirium in Adult Patients in the ICU. DESIGN:Thirty-two international experts, four methodologists, and four critical illness survivors met virtually at least monthly. All section groups gathered face-to-face at annual Society of Critical Care Medicine congresses; virtual connections included those unable to attend. A formal conflict of interest policy was developed a priori and enforced throughout the process. Teleconferences and electronic discussions among subgroups and whole panel were part of the guidelines' development. A general content review was completed face-to-face by all panel members in January 2017. METHODS:Content experts, methodologists, and ICU survivors were represented in each of the five sections of the guidelines: Pain, Agitation/sedation, Delirium, Immobility (mobilization/rehabilitation), and Sleep (disruption). Each section created Population, Intervention, Comparison, and Outcome, and nonactionable, descriptive questions based on perceived clinical relevance. The guideline group then voted their ranking, and patients prioritized their importance. For each Population, Intervention, Comparison, and Outcome question, sections searched the best available evidence, determined its quality, and formulated recommendations as "strong," "conditional," or "good" practice statements based on Grading of Recommendations Assessment, Development and Evaluation principles. In addition, evidence gaps and clinical caveats were explicitly identified. RESULTS:The Pain, Agitation/Sedation, Delirium, Immobility (mobilization/rehabilitation), and Sleep (disruption) panel issued 37 recommendations (three strong and 34 conditional), two good practice statements, and 32 ungraded, nonactionable statements. Three questions from the patient-centered prioritized question list remained without recommendation. CONCLUSIONS:We found substantial agreement among a large, interdisciplinary cohort of international experts regarding evidence supporting recommendations, and the remaining literature gaps in the assessment, prevention, and treatment of Pain, Agitation/sedation, Delirium, Immobility (mobilization/rehabilitation), and Sleep (disruption) in critically ill adults. Highlighting this evidence and the research needs will improve Pain, Agitation/sedation, Delirium, Immobility (mobilization/rehabilitation), and Sleep (disruption) management and provide the foundation for improved outcomes and science in this vulnerable population.

Objective: To assess the effect of family presence on the prevalence and duration of delirium in adults admitted to an ICU.Design: Retrospective cohort study.Setting: Medical-surgical ICUs in Alberta, AB, Canada.Patients: A population of 25,537 unique patients admitted at least once to an Alberta ICU.Methods: We obtained electronic health records of consecutive adults (≥ 18 yr) admitted to one of 14 medical-surgical ICU in Alberta, Canada, from January 1, 2014, to December 30, 2018. Family presence was quantified using a validated algorithm and categorized as: 1) physical presence in ICU, 2) telephone call only, and 3) no presence (reference group). Delirium was measured using the Intensive Care Delirium Screening Checklist (ICDSC) and defined as an ICDSC greater than or equal to 4. Multivariable mixed-effects logistic and linear regression were used to evaluate the association between family presence and prevalence (binary) and duration (d) of delirium, respectively.Interventions: None.Measurements and Main Results: The association between family presence and delirium prevalence differed according to admission type and admission Glasgow Coma Scale (GCS). Among medical and emergency surgical patients irrespective of admission GCS, physical presence of family was not significantly associated with the prevalence of delirium. In elective surgical patients, physical presence of family was associated with decreased prevalence of delirium in patients with intact Glasgow Coma Scale (GCS = 15; adjusted odds ratio, 0.60; 95% CI, 0.39-0.97; p = 0.02). Physical presence of family (adjusted mean difference [AMD] -1.87 d; 95% CI, -2.01 to -1.81; p < 0.001) and telephone calls (AMD -1.41 d; 95% CI, -1.52 to -1.31; p < 0.001) were associated with decreased duration of delirium in all patients.Conclusions: The effects of family presence on delirium are complex and dependent on type of visitation, reason for ICU admission, and brain function on ICU admission. [ABSTRACT FROM AUTHOR]

Objectives: Describe the prevalence of acute cerebral dysfunction and assess the prognostic value of an early clinical and electroencephalography (EEG) assessment in ICU COVID-19 patients.Design: Prospective observational study.Setting: Two tertiary critical care units in Paris, France, between April and December 2020.Patients: Adult critically ill patients with COVID-19 acute respiratory distress syndrome.Interventions: Neurologic examination and EEG at two time points during the ICU stay, first under sedation and second 4-7 days after sedation discontinuation.Measurements and Main Results: Association of EEG abnormalities (background reactivity, continuity, dominant frequency, and presence of paroxystic discharges) with day-28 mortality and neurologic outcomes (coma and delirium recovery). Fifty-two patients were included, mostly male (81%), median (interquartile range) age 68 years (56-74 yr). Delayed awakening was present in 68% of patients (median awakening time of 5 d [2-16 d]) and delirium in 74% of patients who awoke from coma (62% of mixed delirium, median duration of 5 d [3-8 d]). First, EEG background was slowed in the theta-delta range in 48 (93%) patients, discontinuous in 25 patients (48%), and nonreactive in 17 patients (33%). Bifrontal slow waves were observed in 17 patients (33%). Early nonreactive EEG was associated with lower day-28 ventilator-free days (0 vs 16; p = 0.025), coma-free days (6 vs 22; p = 0.006), delirium-free days (0 vs 17; p = 0.006), and higher mortality (41% vs 11%; p = 0.027), whereas discontinuous background was associated with lower ventilator-free days (0 vs 17; p = 0.010), coma-free days (1 vs 22; p < 0.001), delirium-free days (0 vs 17; p = 0.001), and higher mortality (40% vs 4%; p = 0.001), independently of sedation and analgesia.Conclusions: Clinical and neurophysiologic cerebral dysfunction is frequent in COVID-19 ARDS patients. Early severe EEG abnormalities with nonreactive and/or discontinuous background activity are associated with delayed awakening, delirium, and day-28 mortality. [ABSTRACT FROM AUTHOR]

Keywords: communication; outcomes research; prediction models; quality of life; shared decision-making EN communication outcomes research prediction models quality of life shared decision-making 691 693 3 04/17/23 20230501 NES 230501 Health-related quality of life (HRQoL) after an admission to the ICU is a key outcome for a wide array of stakeholders including patients, caregivers, providers, policymakers, and payers ([1], [2]). Advancing these agendas entails not only the complex task of eliciting patient goals and preferences but also high-quality data to anticipate likely outcomes of critical illness and associated interventions along the lines of what Porter et al ([9]) have provided. These comparisons highlight the challenges associated with determining outcomes following critical illness and suggest that the patients lost to follow-up in the study by Porter et al ([9]) constitute a vulnerable cohort. [Extracted from the article]

Objectives: To evaluate whether different gamma-aminobutyric acidergic (GABAergic) sedatives such as propofol and benzodiazepines carry differential risks of post-extubation delirium in the ICU.Design: Retrospective cohort study.Setting: Seven ICUs in an academic hospital network, Beth Israel Deaconess Medical Center (Boston, MA).Patients: Ten thousand five hundred and one adult patients mechanically ventilated for over 24 hours.Interventions: None.Measurements and Main Results: We tested the hypothesis that benzodiazepine versus propofol-based sedation is associated with fewer delirium-free days within 14 days after extubation. Further, we hypothesized that the measured sedation level evoked by GABAergic drugs is a better predictor of delirium than the drug dose administered. The proportion of GABAergic drug-induced deep sedation was defined as the ratio of days with a mean Richmond Agitation-Sedation Scale of less than or equal to -3 during mechanical ventilation. Multivariable regression and effect modification analyses were used. Delirium-free days were lower in patients who received a high proportion of deep sedation using benzodiazepine compared with propofol-based sedation (adjusted absolute difference, -1.17 d; 95% CI, -0.64 to -1.69; p < 0.001). This differential effect was magnified in elderly patients (age > 65) and in patients with liver or kidney failure (p-for-interaction < 0.001) but not observed in patients who received a low proportion of deep sedation (p = 0.95). GABAergic-induced deep sedation days during mechanical ventilation was a better predictor of post-extubation delirium than the GABAergic daily average effective dose (area under the curve 0.76 vs 0.69; p < 0.001).Conclusions: Deep sedation during mechanical ventilation with benzodiazepines compared with propofol is associated with increased risk of post-extubation delirium. Our data do not support the view that benzodiazepine-based compared with propofol-based sedation in the ICU is an independent risk factor of delirium, as long as deep sedation can be avoided in these patients. [ABSTRACT FROM AUTHOR]

Objective: Concise definitive review of the reinitiation of prior-to-admission neuropsychiatric medications (NPMs) in ICU patients.Data Sources: Available literature on PubMed and MEDLINE databases.Study Selection: Available clinical trials and observational studies addressing the reinitiation of select NPMs (antidepressants, antipsychotics, and gabapentinoids) on various outcomes were included.Data Extraction: Eligible studies were identified by authors, and recommendations were summarized.Data Synthesis: Agitation and delirium are recognized as common complications of patients in the ICU. While there is literature that suggests patients can acutely withdraw from opioids, less data are known about withdrawal from NPM such as antidepressants, antipsychotics, and gabapentinoids. However, there is some literature that suggests reinitiating some NPMs may lead to reductions in agitation, delirium, and hospital and ICU length of stay.Conclusions: Additional larger studies are needed to evaluate the safety and efficacy of reinitiation of select prior-to-admission NPM to prevent agitation and delirium in ICU patients. Multiple factors for NPM reinitiation should be considered, such as reason for admission, organ dysfunction, available route of administration to provide prior-to-admission NPM, concomitant additional medications for agitation and delirium, and safety of these medications for patients in the ICU. [ABSTRACT FROM AUTHOR]

Objectives: Pediatric delirium is a neuropsychiatric disorder with disrupted cerebral functioning due to underlying disease and/or critical care treatment. Pediatric delirium can be classified as hypoactive, hyperactive, and mixed. This systematic review was conducted to estimate the pooled prevalence of pediatric delirium using validated assessment tools in children (Cornell Assessment of Pediatric Delirium, Pediatric Confusion Assessment Method for the ICU, PreSchool Confusion Assessment Method for the ICU, Pediatric Confusion Assessment Method for the ICU Severity Scale, and Sophia Observation Withdrawal Symptoms Pediatric Delirium scale), identify modifiable and nonmodifiable risk factors, and explore the association of pediatric delirium with clinical outcomes.Data Sources: A systematic search of PubMed, EMBASE, and CINAHL databases was undertaken for full articles pertaining to pediatric delirium prevalence.Study Selection: No language or date barriers were set. Studies were included where the following eligibility criteria were met: study design aimed to estimate pediatric delirium prevalence arising from treatment in the intensive care setting, using a validated tool. Only randomized controlled trials, cross-sectional studies, or cohort studies allowing an estimate of the prevalence of pediatric delirium were included.Data Extraction: Data were extracted by the primary researcher (D.S.) and accuracy checked by coauthors.Data Synthesis: A narrative synthesis and pooled prevalence meta-analysis were undertaken.Conclusions: Pediatric delirium, as determined by the Cornell Assessment of Pediatric Delirium score, is estimated to occur in 34% of critical care admissions. Eight of 11 studies reporting on subtype identified hypoactive delirium as most prevalent (46-81%) with each of the three remaining reporting either hyperactive (44%), mixed (57%), or equal percentages of hypoactive and mixed delirium (43%) as most prevalent. The development of pediatric delirium is associated with cumulative doses of benzodiazepines, opioids, the number of sedative classes used, deep sedation, and cardiothoracic surgery. Increased time mechanically ventilated, length of stay, mortality, healthcare costs, and associations with decreased quality of life after discharge were also found. Multi-institutional and longitudinal studies are required to better determine the natural history, true prevalence, long-term outcomes, management strategies, and financial implications of pediatric delirium. [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: To evaluate current international practice in PICUs regarding components of the "Assessing Pain, Both Spontaneous Awakening and Breathing Trials, Choice of Sedation, Delirium Monitoring/Management, Early Exercise/Mobility, and Family Engagement/Empowerment" (ABCDEF) bundle.Design: Online surveys conducted between 2017 and 2019.Setting: One-hundred sixty-one PICUs across the United States (n = 82), Canada (n = 14), Brazil (n = 27), and Europe (n = 38) participating in the Prevalence of Acute Rehabilitation for Kids in the PICU study.Interventions: None.Measurements and Main Results: Of the 161 participating PICUs, 83% were in academic teaching hospitals and 42% were in free-standing children's hospitals. Median size was 16 beds (interquartile range, 10-24 beds). Only 15 PICUs (9%) had incorporated all six ABCDEF bundle components into routine practice. Standardized pain assessment (A) was the most common (91%), followed by family engagement (F, 88%) and routine sedation assessment (C) with validated scales (84%). Protocols for testing extubation readiness or conducting spontaneous breathing trials (B) were reported in 57%, with 34% reporting a ventilator weaning protocol. Routine delirium monitoring with a validated screening tool (D) was reported by 44% of PICUs, and 26% had a guideline, protocol, or policy for early exercise/mobility (E). Practices for spontaneous breathing trials were variable in 29% of Canadian PICUs versus greater than 50% in the other regions. Delirium monitoring was lowest in Brazilian PICUs (18%) versus greater than 40% in other regions, and family engagement was reported in 55% of European PICUs versus greater than 90% in other regions.Conclusions: ABCDEF bundle components have been adopted with substantial variability across regions. Additional research must rigorously evaluate the efficacy of specific elements with a focus on B, D, E, and full ABCDEF bundle implementation. Implementation science is needed to facilitate an understanding of the barriers to ABCDEF implementation and sustainability with a focus on specific cultural and regional differences. [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: ICU delirium is a predictor of greater morbidity and higher mortality in the pediatric population. The diagnostic obstacles and validity of delirium monitoring among neonates and young infants have yet to be fully delineated. We sought to validate the Preschool Confusion Assessment Method for the ICU in neonates and young infants and determine delirium prevalence in this young population.Design: Prospective cohort study to validate the Preschool Confusion Assessment Method for the ICU for the assessment of ICU delirium in neonates and young infants compared with the reference standard, Child and Adolescent Psychiatry.Setting: Tertiary medical center PICU, including medical, surgical, and cardiac patients.Participants: Infants less than 6 months old admitted to the PICU regardless of admission diagnosis.Measurements and Main Results: We enrolled 49 patients with a median age of 1.8 months (interquartile range, 0.7-4.1 mo), 82% requiring mechanical ventilation. Enrolled patients were assessed for delirium in blinded-fashion by the research team using the Preschool Confusion Assessment Method for the ICU and independently assessed by the psychiatry reference rater using Diagnostic and Statistical Manual of Mental Disorders-5 criteria. A total of 189 paired assessments were completed, and the Preschool Confusion Assessment Method for the ICU performed with a sensitivity of 95% (95% CI, 89-100%), specificity of 81% (68-90%), "negative and positive predictive values" of 97% (94-100%) and 69% (55-79%), respectively, compared with the reference rater. Delirium prevalence was 47%, with higher rates of 61% observed among neonates (< 1 mo old) and 39% among infants 1-6 months old.Conclusions: The Preschool Confusion Assessment Method for the ICU is a valid screening tool for delirium monitoring in infants less than 6 months old. Delirium screening was feasible in this population despite evolving neurocognition and arousal architecture. ICU delirium was prevalent among infants. The consequence of acute brain dysfunction during crucial neurocognitive development remains unclear. Future studies are necessary to determine the long-term impact of ICU delirium and strategies to reduce associated harm in critically ill infants. [ABSTRACT FROM AUTHOR]

Objectives: Delirium in critically ill adults is highly prevalent and has multiple negative consequences. To-date, trials of interventions to prevent or treat delirium report heterogenous outcomes. To develop international consensus among key stakeholders for a core outcome set for future trials of interventions to prevent and/or treat delirium in critically ill adults.Design: Core outcome set development, as recommended by the Core Outcome Measures in Effectiveness Trials Handbook. Methods of generating items for the core outcome set included a systematic review and qualitative interviews with ICU survivors and family members. Consensus methods include a two-round web-based Delphi process and a face-to-face meeting using nominal group technique methods.Subjects: International representatives from three stakeholder groups: 1) clinical researchers, 2) ICU interprofessional clinicians, and 3) ICU survivors and family members.Setting: Telephone interviews, web-based surveys, and a face-to-face consensus meeting held at the 2019 European Delirium Association's annual meeting in Edinburgh, Scotland.Intervention: None.Measurements and Main Results: Qualitative interviews with 24 ICU survivors and family members identified 36 potential outcomes; six were additional to the 97 identified from the systematic review. After item reduction, 32 outcomes were presented in Delphi Round 1; 179 experts participated, 38 ICU survivors/family members (21%), 100 clinicians (56%), 41 researchers (23%). Three additional outcomes were added to Round 2; 134 Round 1 participants (75%) completed it. Upon conclusion of the consensus building processes, the final core outcome set comprised seven outcomes: delirium occurrence (including prevalence or incidence); delirium severity; time to delirium resolution; health-related quality of life; emotional distress (i.e., anxiety, depression, acute and posttraumatic stress); cognition (including memory); and mortality.Conclusions: This core outcome set, endorsed by the American and Australian Delirium Societies and European Delirium Association, is recommended for future clinical trials evaluating delirium prevention or treatment interventions in critically ill adults. [ABSTRACT FROM AUTHOR]

Objectives: Sleep disturbances may contribute to the development of delirium, prolonged ICU stay, and increased mortality. There is conflicting data on the effectiveness of earplugs and eye masks for sleep promotion in the ICU. This study evaluates the impact of earplugs and eye masks on sleep quality in postoperative surgical ICU patients at risk for frequent awakenings.Design: Prospective randomized controlled trial.Setting: Surgical ICU within the University of Texas Southwestern Medical Center.Patients: Adult, female patients admitted to the surgical ICU requiring hourly postoperative assessments following breast free flap surgery between February 2018 and October 2019.Interventions: Patients were randomized into an intervention group or a control group. The intervention group received earplugs and eye masks in addition to standard postoperative care, whereas the control group received standard postoperative care.Measurements and Main Results: The primary outcome was overall sleep quality assessed via the Richards-Campbell Sleep Questionnaire. Secondary outcomes of patient satisfaction and rates of ICU delirium were assessed with a modified version of the Family Satisfaction in the ICU survey and the Confusion Assessment Method for the ICU. After a planned interim analysis, the study was stopped early because prespecified criteria for significance were attained. Compared with the control group's average Richards-Campbell Sleep Questionnaire total score of 47.3 (95% CI, 40.8-53.8), the intervention group's average Richards-Campbell Sleep Questionnaire total score was significantly higher at 64.5 (95% CI, 58.3-70.7; p = 0.0007). There were no significant between-group differences for Confusion Assessment Method for the ICU scores or modified Family Satisfaction in the ICU survey scores.Conclusions: These results suggest that earplugs and eye masks are effective in improving sleep quality in ICU patients undergoing frequent assessments. The results strengthen the evidence for nonpharmacologic sleep-promoting adjuncts in the ICU. [ABSTRACT FROM AUTHOR]

The advent of modern critical care medicine has revolutionized care of the critically ill patient in the last 50 years. The Society of Critical Care Medicine (was formed in recognition of the challenges and need for specialized treatment for these fragile patients. As the specialty has grown, it has achieved impressive scientific advances that have reduced mortality and saved lives. With those advances, however, came growing recognition that the burden of critical illness did not end at the doorstep of the hospital. Delirium, once thought to be a mere by-product of critical illness, was found to be an independent predictor of mortality, prolonged mechanical ventilation, and long-lasting cognitive impairment. Similarly, deep sedation and immobility, so often used to keep patients "comfortable" and to facilitate mechanical ventilation and recovery, worsen mortality and lead to the development of ICU-acquired weakness. The realization that these outcomes are inextricably linked to one another and how we manage our patients has helped us recognize the need for culture change. We, as a specialty, now understand that although celebrating the successes of survival, we now also have a duty to focus on those who survive their diseases. Led by initiatives such as the ICU Liberation Campaign of the Society of Critical Care Medicine, the natural progression of the field is now focused on getting patients back to their homes and lives unencumbered by disability and impairment. Much work remains to be done, but the futures of our most critically ill patients will continue to benefit if we leverage and build on the history of our first 50 years. [ABSTRACT FROM AUTHOR]

Objectives: Haloperidol is commonly administered in the ICU to reduce the burden of delirium and its related symptoms despite no clear evidence showing haloperidol helps to resolve delirium or improve survival. We evaluated the association between haloperidol, when used to treat incident ICU delirium and its symptoms, and mortality.Design: Post hoc cohort analysis of a randomized, double-blind, placebo-controlled, delirium prevention trial.Setting: Fourteen Dutch ICUs between July 2013 and December 2016.Patients: One-thousand four-hundred ninety-five critically ill adults free from delirium at ICU admission having an expected ICU stay greater than or equal to 2 days.Interventions: Patients received preventive haloperidol or placebo for up to 28 days until delirium occurrence, death, or ICU discharge. If delirium occurred, treatment with open-label IV haloperidol 2 mg tid (up to 5 mg tid per delirium symptoms) was administered at clinician discretion.Measurements and Main Results: Patients were evaluated tid for delirium and coma for 28 days. Time-varying Cox hazards models were constructed for 28-day and 90-day mortality, controlling for study-arm, delirium and coma days, age, Acute Physiology and Chronic Health Evaluation-II score, sepsis, mechanical ventilation, and ICU length of stay. Among the 1,495 patients, 542 (36%) developed delirium within 28 days (median [interquartile range] with delirium 4 d [2-7 d]). A total of 477 of 542 (88%) received treatment haloperidol (2.1 mg [1.0-3.8 mg] daily) for 6 days (3-11 d). Each milligram of treatment haloperidol administered daily was associated with decreased mortality at 28 days (hazard ratio, 0.93; 95% CI, 0.91-0.95) and 90 days (hazard ratio, 0.97; 95% CI, 0.96-0.98). Treatment haloperidol administered later in the ICU course was less protective of death. Results were stable by prevention study-arm, predelirium haloperidol exposure, and haloperidol treatment protocol adherence.Conclusions: Treatment of incident delirium and its symptoms with haloperidol may be associated with a dose-dependent improvement in survival. Future randomized trials need to confirm these results. [ABSTRACT FROM AUTHOR]

Objectives: Adult ICU survivors that experience delirium are at high risk for developing new functional disabilities and mental health disorders. We sought to determine if individual motoric subtypes of delirium are associated with worse disability, depression, and/or post-traumatic stress disorder in ICU survivors.Design: Secondary analysis of a prospective multicenter cohort study.Setting: Academic, community, and Veteran Affairs hospitals.Patients: Adult ICU survivors of respiratory failure and/or shock.Interventions: We assessed delirium and level of consciousness using the Confusion Assessment Method-ICU and Richmond Agitation and Sedation Scale daily during hospitalization. We classified delirium as hypoactive (Richmond Agitation and Sedation Scale ≤ 0) or hyperactive (Richmond Agitation and Sedation Scale > 0). At 3- and 12-month postdischarge, we assessed for dependence in activities of daily living and instrumental activities of daily living, symptoms of depression, and symptoms of post-traumatic stress disorder. Adjusting for baseline and inhospital covariates, multivariable regression examined the association of exposure to delirium motoric subtype and long-term outcomes.Measurements and Main Results: In our cohort of 556 adults with a median age of 62 years, hypoactive delirium was more common than hyperactive (68.9% vs 16.8%). Dependence on the activities of daily living was present in 37% at 3 months and 31% at 12 months, whereas dependence on instrumental activities of daily living was present in 63% at 3 months and 56% at 12 months. At both time points, depression and post-traumatic stress disorder rates were constant at 36% and 5%, respectively. Each additional day of hypoactive delirium was associated with higher instrumental activities of daily living dependence at 3 months only (0.24 points [95% CI, 0.07-0.41; p = 0.006]). There were no associations between the motoric delirium subtype and activities of daily living dependence, depression, or post-traumatic stress disorder.Conclusions: Longer duration of hypoactive delirium, but not hyperactive, was associated with a minimal increase in early instrumental activities of daily living dependence scores in adult survivors of critical illness. Motoric delirium subtype was neither associated with early or late activities of daily living functional dependence or mental health outcomes, nor late instrumental activities of daily living functional dependence. [ABSTRACT FROM AUTHOR]

Objective: To evaluate the impact of bundle interventions on ICU delirium prevalence, duration, and other patients' adverse outcomes.Data Sources: The Cochrane Library, PubMed, CINAHL, EMBASE, PsychINFO, and MEDLINE from January 2000 to July 2020. The protocol of the study was registered in International prospective register of systematic reviews (CRD42020163147).Study Selection: Randomized clinical trials or cohort studies that examined the following outcomes were included in the current study: ICU delirium prevalence and duration, proportion of patient-days with coma, ventilator-free days, mechanical ventilation days, ICU or hospital length of stay, and ICU or inhospital or 28-day mortality.Data Extraction: Using a standardized data-collection form, two authors screened the studies and extracted the data independently, and assessed the studies' quality using the Modified Jadad Score Scale for randomized clinical trials and the Newcastle-Ottawa Scale for cohort studies.Data Synthesis: Eleven studies with a total of 26,384 adult participants were included in the meta-analysis. Five studies (three randomized clinical trials and two cohort studies) involving 18,638 patients demonstrated that ICU delirium prevalence was not reduced (risk ratio = 0.92; 95% CI, 0.68-1.24). Meta-analysis showed that the use of bundle interventions was not associated with shortening the duration of ICU delirium (mean difference = -1.42 d; 95% CI, -3.06 to 0.22; two randomized clinical trials and one cohort study), increasing ventilator-free days (mean difference = 1.56 d; 95% CI, -1.56 to 4.68; three randomized clinical trials), decreasing mechanical ventilation days (mean difference = -0.83 d; 95% CI, -1.80 to 0.14; four randomized clinical trials and two cohort studies), ICU length of stay (mean difference = -1.08 d; 95% CI, -2.16 to 0.00; seven randomized clinical trials and two cohort studies), and inhospital mortality (risk ratio = 0.86; 95% CI, 0.70-1.06; five randomized clinical trials and four cohort studies). However, bundle interventions are effective in reducing the proportion of patient-days experiencing coma (risk ratio = 0.47; 95% CI, 0.39-0.57; two cohort studies), hospital length of stay (mean difference = -1.47 d; 95% CI, -2.80 to -0.15; four randomized clinical trials and one cohort study), and 28-day mortality by 18% (risk ratio = 0.82; 95% CI, 0.69-0.99; three randomized clinical trials).Conclusions: This meta-analysis fails to support that bundle interventions are effective in reducing ICU delirium prevalence and duration, but supports that bundle interventions are effective in reducing the proportion of patient-days with coma, hospital length of stay, and 28-day mortality. Larger randomized clinical trials are needed to evaluate the impact of bundle interventions on ICU delirium and other clinical outcomes. [ABSTRACT FROM AUTHOR]

Objective: Delirium occurs frequently in critically ill children, with highest rates reported in children under 5 years old. The objective of this study was to measure the residual effect of delirium on quality of life at 1 and 3 months after hospital discharge.Design: Prospective observational cohort study.Setting: Urban academic PICU.Patients: Children younger than five years of age at time of admission to the PICU.Interventions: All children were screened for delirium (using the Cornell Assessment for Pediatric Delirium) throughout their stay in the PICU. Quality of life was measured using the Infant-Toddler Quality of Life questionnaire at three time points: baseline, 1 month, and 3 months after hospital discharge. Infant-Toddler Quality of Life scores were compared between children who did and did not develop delirium.Measurements and Main Results: Two hundred seven children were enrolled. One hundred twenty-two completed the 1-month follow-up, and 117 completed the 3-month follow-up. Fifty-six children (27%) developed delirium during their PICU stay. At follow-up, Infant-Toddler Quality of Life scores for the PICU cohort overall were consistently lower than age-related norms. When analyzed by delirium status, children who had experienced delirium scored lower in every quality of life domain when compared with children who did not experience delirium. Even after controlling for severity of illness, delirious patients demonstrated an average 11-point lower general health score than nondelirious patients (p = 0.029).Conclusion: This pilot study shows an independent association between delirium and decreased quality of life after hospital discharge in young children. [ABSTRACT FROM AUTHOR]

Objectives: Critical illness can cause severe cognitive impairments. The objective of this trial was to assess the effect of nonsedation versus sedation with a daily wake-up call during mechanical ventilation on cognitive function in adult survivors of critical illness.Design: Single-center substudy of the multicenter, randomized Non-sedation Versus Sedation With a Daily Wake-up Trial in Critically Ill Patients Receiving Mechanical Ventilation trial. Three months after ICU-discharge participants were tested for cognitive function by a neuropsychologist.Setting: Mixed 14-bed ICU in teaching hospital.Patients: A total of 205 critically ill, orally intubated, and mechanically ventilated adults.Interventions: Patients were randomized within the first 24 hours from intubation to either nonsedation with sufficient analgesia or light sedation with a daily wake-up call during mechanical ventilation.Measurements and Main Results: A total of 118 patients survived to follow-up and 89 participated (75%). The participating survivors in the two groups did not differ regarding baseline data or premorbid cognitive impairments. Sedated patients had received more sedatives, whereas doses of morphine and antipsychotics were equal. The primary outcome was that no significant difference was found in the number of patients with mild/moderate cognitive impairments (six nonsedated patients vs four sedated patients) or severe cognitive impairments (16 nonsedated patients vs 17 sedated patients; p = 0.71). Secondary outcomes were cognitive test scores, and no differences were found between the scores in nonsedated and sedated patients. Hypothetical worst case scenarios where all patients, who had not participated in follow-up assessment, were assumed to have severe cognitive impairments were analyzed, but still no difference between the groups was found. We found more patients with delirium in the sedated group (96% vs 69% of patients; p = 0.002) and increased duration of delirium in sedated patients (median 5 vs 1 d; p < 0.001). Delirium subtypes were equally distributed between the groups, with hypoactive delirium most frequent (61%), followed by mixed delirium (39%).Conclusions: Nonsedation did not affect cognitive function 3 months after ICU-discharge. [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: Growing evidence supports the Awakening and Breathing Coordination, Delirium monitoring/management, and Early exercise/mobility (ABCDE) bundle processes as improving a number of short- and long-term clinical outcomes for patients requiring ICU care. To assess the cost-effectiveness of this intervention, we determined the impact of ABCDE bundle adherence on inpatient and 1-year mortality, quality-adjusted life-years, length of stay, and costs of care.Design: We conducted a 2-year, prospective, cost-effectiveness study in 12 adult ICUs in six hospitals belonging to a large, integrated healthcare delivery system.Setting: Hospitals included a large, urban tertiary referral center and five community hospitals. ICUs included medical/surgical, trauma, neurologic, and cardiac care units.Patients: The study included 2,953 patients, 18 years old or older, with an ICU stay greater than 24 hours, who were on a ventilator for more than 24 hours and less than 14 days.Intervention: ABCDE bundle.Measurements and Main Results: We used propensity score-adjusted regression models to determine the impact of high bundle adherence on inpatient mortality, discharge status, length of stay, and costs. A Markov model was used to estimate the potential effect of improved bundle adherence on healthcare costs and quality-adjusted life-years in the year following ICU admission. We found that patients with high ABCDE bundle adherence (≥ 60%) had significantly decreased odds of inpatient mortality (odds ratio 0.28) and significantly higher costs ($3,920) of inpatient care. The incremental cost-effectiveness ratio of high bundle adherence was $15,077 (95% CI, $13,675-$16,479) per life saved and $1,057 per life-year saved. High bundle adherence was associated with a 0.12 increase in quality-adjusted life-years, a $4,949 increase in 1-year care costs, and an incremental cost-effectiveness ratio of $42,120 per quality-adjusted life-year.Conclusions: The ABCDE bundle appears to be a cost-effective means to reduce in-hospital and 1-year mortality for patients with an ICU stay. [ABSTRACT FROM AUTHOR]

Objectives: To evaluate whether the use of exogenous melatonin affects sleep, reduces the prevalence of delirium, and decreases the need for analgosedation and to assess whether serum melatonin indices correlate with exogenous administration in critically ill patients.Design: Double-blind, randomized, placebo-controlled study.Setting: Multicenter ICUs of two tertiary hospitals.Patients: A total of 203 adult patients who were admitted to the ICU and administered with analgesics and/or sedatives.Interventions: Oral melatonin (10 mg) or placebo for up to seven consecutive nights.Measurements and Main Results: The number of observed sleeping hours at night was assessed by the bedside nurse. Sleep quality was evaluated using the Richards Campbell Questionnaire Sleep (RCSQ). The prevalence of delirium, pain, anxiety, adverse reactions, duration of mechanical ventilation, length of ICU and hospital stays, and doses of sedative and analgesic drugs administered were recorded. The use of analgesics and sedatives was assessed daily. Melatonin levels were determined by enzyme-linked immunosorbent assay. Based on the RCSQ results, sleep quality was assessed to be better in the melatonin group than that in the placebo group with a mean (SD) of 69.7 (21.2) and 60.7 (26.3), respectively (p = 0.029). About 45.8% and 34.4% of participants in the melatonin and placebo groups had very good sleep (risk ratio, 1.33; 95% CI, 0.94-1.89), whereas 3.1% and 14.6% had very poor sleep (risk ratio, 0.21; 95% CI, 0.06-0.71), respectively. No significant difference was observed regarding the days free of analgesics or sedatives, the duration of night sleep, and the occurrence of delirium, pain, and anxiety. Melatonin serum peak levels at 2 AM were 150 pg/mL (range, 125-2,125 pg/mL) in the melatonin group and 32.5 pg/mL (range, 18.5-35 pg/mL) in the placebo group (p < 0.001).Conclusions: Melatonin was associated with better sleep quality, which suggests its possible role in the routine care of critically ill patients in the future. [ABSTRACT FROM AUTHOR]

Unfortunately, ventilator breath timing and ventilator flow algorithms may not always match well with the patient's respiratory drive, and this leads to "patient-ventilator dyssynchrony (PVD)" ([1]). * Keywords: mechanical ventilation; patient-ventilator interactions; respiratory drive; respirolysis EN mechanical ventilation patient-ventilator interactions respiratory drive respirolysis 2149 2151 3 11/19/21 20211201 NES 211201 Mechanically ventilated patients are often managed with modes allowing patient-ventilator interactions (assisted or supported breaths that are effort triggered and interact with the patient respiratory drive). [Extracted from the article]

Background: After critical illness, new or worsening impairments in physical, cognitive, and/or mental health function are common among patients who have survived. Who should be screened for long-term impairments, what tools to use, and when remain unclear.Objectives: Provide pragmatic recommendations to clinicians caring for adult survivors of critical illness related to screening for postdischarge impairments.Participants: Thirty-one international experts in risk-stratification and assessment of survivors of critical illness, including practitioners involved in the Society of Critical Care Medicine's Thrive Post-ICU Collaboratives, survivors of critical illness, and clinical researchers.Design: Society of Critical Care Medicine consensus conference on post-intensive care syndrome prediction and assessment, held in Dallas, in May 2019. A systematic search of PubMed and the Cochrane Library was conducted in 2018 and updated in 2019 to complete an original systematic review and to identify pre-existing systematic reviews.Meeting Outcomes: We concluded that existing tools are insufficient to reliably predict post-intensive care syndrome. We identified factors before (e.g., frailty, preexisting functional impairments), during (e.g., duration of delirium, sepsis, acute respiratory distress syndrome), and after (e.g., early symptoms of anxiety, depression, or post-traumatic stress disorder) critical illness that can be used to identify patients at high-risk for cognitive, mental health, and physical impairments after critical illness in whom screening is recommended. We recommend serial assessments, beginning within 2-4 weeks of hospital discharge, using the following screening tools: Montreal Cognitive Assessment test; Hospital Anxiety and Depression Scale; Impact of Event Scale-Revised (post-traumatic stress disorder); 6-minute walk; and/or the EuroQol-5D-5L, a health-related quality of life measure (physical function).Conclusions: Beginning with an assessment of a patient's pre-ICU functional abilities at ICU admission, clinicians have a care coordination strategy to identify and manage impairments across the continuum. As hospital discharge approaches, clinicians should use brief, standardized assessments and compare these results to patient's pre-ICU functional abilities ("functional reconciliation"). We recommend serial assessments for post-intensive care syndrome-related problems continue within 2-4 weeks of hospital discharge, be prioritized among high-risk patients, using the identified screening tools to prompt referrals for services and/or more detailed assessments. [ABSTRACT FROM AUTHOR]

Objectives: To evaluate the diagnostic accuracy of the Impact Event Scale-Revisited assessed following ICU discharge to predict the emergence of post-traumatic stress disorder symptoms at 3 months.Design: Prospective cohort study.Setting: Three medical or surgical ICU of a French university hospital (Lyon, France).Patients: Patients greater than or equal to 18 years old, leaving ICU after greater than or equal to 2 nights of stay, between September 2017 and April 2018.Interventions: Patients completed the Impact Event Scale-Revisited and the Peritraumatic Dissociative Experiences Questionnaire within 8 days after ICU discharge and the Impact Event Scale-Revisited again at 3 months by phone. Patients having an Impact Event Scale-Revisited greater than or equal to 35 at 3 months were considered as having post-traumatic stress disorder symptoms.Measurements and Main Results: Among the 208 patients screened, 174 were included and 145 reassessed by phone at 3 months. Among the patients included at baseline, 43% presented symptoms of acute stress. At 3 months, 13% had an Impact Event Scale-Revisited greater than or equal to 35 and 17% had a score between 12 and 34. Regarding the performance of the Impact Event Scale-Revisited performed within 8 days after the ICU discharge to predict post-traumatic stress disorder symptoms at 3 months, the area under the curve was 0.90 (95% CI, 0.80-0.99), and an Impact Event Scale-Revisited greater than or equal to 12 had a sensitivity of 90%, a specificity of 71%, a positive predictive value of 32%, and a negative predictive value of 98%. History of anxiety disorder odds ratio = 3.7 (95% CI, 1.24-11.05; p = 0.02) and Impact Event Scale-Revisited greater than or equal to 12 odds ratio = 16.57 (95% CI, 3.59-76.46; p < 0.001) were identified as risk factors for post-traumatic stress disorder symptoms.Conclusions: Impact Event Scale-Revisited assessed at ICU discharge has a good ability for the detection of patients at risk of developing post-traumatic stress disorder symptoms. Patients with history of anxiety disorder and those presenting acute stress symptoms at ICU discharge are more at risk to develop post-traumatic stress disorder symptoms. [ABSTRACT FROM AUTHOR]

Objectives: To evaluate the diagnostic accuracy of family-administered tools to detect delirium in critically ill patients.Design: Diagnostic accuracy study.Setting: Large, tertiary care academic hospital in a single-payer health system.Patients: Consecutive, eligible patients with at least one family member present (dyads) and a Richmond Agitation-Sedation Scale greater than or equal to -3, no primary direct brain injury, the ability to provide informed consent (both patient and family member), the ability to communicate with research staff, and anticipated to remain admitted in the ICU for at least a further 24 hours to complete all assessments at least once.Interventions: None.Measurements and Main Results: Family-administered delirium assessments (Family Confusion Assessment Method and Sour Seven) were completed once daily. A board-certified neuropsychiatrist and team of ICU research nurses conducted the reference standard assessments of delirium (based on Diagnostic and Statistical Manual for Mental Disorders, Fifth Edition, criteria) once daily for a maximum of 5 days. The mean age of the 147 included patients was 56.1 years (SD, 16.2 yr), 61% of whom were male. Family members (n = 147) were most commonly spouses (n = 71, 48.3%) of patients. The area under the receiver operating characteristic curve on the Family Confusion Assessment Method was 65.0% (95% CI, 60.0-70.0%), 71.0% (95% CI, 66.0-76.0%) for possible delirium (cutpoint of 4) on the Sour Seven and 67.0% (95% CI, 62.0-72.0%) for delirium (cutpoint of 9) on the Sour Seven. These area under the receiver operating characteristic curves were lower than the Intensive Care Delirium Screening Checklist (standard of care) and Confusion Assessment Method for ICU. Combining the Family Confusion Assessment Method or Sour Seven with the Intensive Care Delirium Screening Checklist or Confusion Assessment Method for ICU resulted in area under the receiver operating characteristic curves that were not significantly better, or worse for some combinations, than the Intensive Care Delirium Screening Checklist or Confusion Assessment Method for ICU alone. Adding the Family Confusion Assessment Method and Sour Seven to the Intensive Care Delirium Screening Checklist and Confusion Assessment Method for ICU improved sensitivity at the expense of specificity.Conclusions: Family-administered delirium detection is feasible and has fair, but lower diagnostic accuracy than clinical assessments using the Intensive Care Delirium Screening Checklist and Confusion Assessment Method for ICU. Family proxy assessments are essential for determining baseline cognitive function. Engaging and empowering families of critically ill patients warrant further study. [ABSTRACT FROM AUTHOR]

Objectives: Delirium, a heterogenous syndrome, is associated with worse long-term cognition after critical illness. We sought to determine if duration of motoric subtypes of delirium are associated with worse cognition.Design: Secondary analysis of prospective multicenter cohort study.Setting: Academic, community, and Veteran Affairs hospitals.Patients: Five-hundred eighty-two survivors of respiratory failure or shock.Interventions: We assessed delirium and level of consciousness using the Confusion Assessment Method-ICU and Richmond Agitation Sedation Scale daily during hospitalization. We defined a day with hypoactive delirium as a day with positive Confusion Assessment Method-ICU and corresponding Richmond Agitation Sedation Scale score less than or equal to 0 and a day with hyperactive delirium as a day with positive Confusion Assessment Method-ICU and corresponding Richmond Agitation Sedation Scale score greater than 0. At 3 and 12 months, we assessed global cognition with the Repeatable Battery for the Assessment of Neurologic Status and executive function with the Trail Making Test Part B. We used multivariable regression to examine the associations between days of hypoactive and hyperactive delirium with cognition outcomes. We allowed for interaction between days of hypoactive and hyperactive delirium and adjusted for baseline and in-hospital covariates.Measurements and Results: Hypoactive delirium was more common and persistent than hyperactive delirium (71% vs 17%; median 3 vs 1 d). Longer duration of hypoactive delirium was associated with worse global cognition at 3 (-5.13 [-8.75 to -1.51]; p = 0.03) but not 12 (-5.76 [-9.99 to -1.53]; p = 0.08) months and with worse executive functioning at 3 (-3.61 [-7.48 to 0.26]; p = 0.03) and 12 (-6.22 [-10.12 to -2.33]; p = 0.004) months; these associations were not modified by hyperactive delirium. Hyperactive delirium was not associated with global cognition or executive function in this cohort.Conclusions: Longer duration of hypoactive delirium was independently associated with worse long-term cognition. Assessing motoric subtypes of delirium in the ICU might aid in prognosis and intervention allocation. Future studies should consider delineating motoric subtypes of delirium. [ABSTRACT FROM AUTHOR]

Objectives: To inform development of a core outcome set, we evaluated the scope and variability of outcomes, definitions, measures, and measurement time-points in published clinical trials of pharmacologic or nonpharmacologic interventions, including quality improvement projects, to prevent and/or treat delirium in the critically ill.Data Sources: We searched electronic databases, systematic review repositories, and trial registries (1980 to March 2019).Study Selection and Data Extraction: We included randomized, quasi-randomized, and nonrandomized intervention studies of pharmacologic and nonpharmacologic interventions. We extracted data on study characteristics, verbatim descriptions of study outcomes, and measurement characteristics. We assessed quality of outcome reporting using the Management of Otitis Media with Effusion in Children with Cleft Palate study scoring system; risk of bias and study quality using the Cochrane tool and Scottish Intercollegiate Guidelines Network checklists. We categorized reported outcomes using Core Outcome Measures in Effectiveness Trials taxonomy.Data Synthesis: From 195 studies (1/195 pediatric) recruiting 74,632 participants and reporting a mean (SD) of 10 (6.2) outcome domains, we identified 12 delirium-specific outcome domains. Delirium incidence (147, 75% of studies), duration (67, 34%), and antipsychotic use (42, 22%) were most commonly reported. We identified a further 94 non-delirium-specific outcome domains within 19 Core Outcome Measures in Effectiveness Trials taxonomy categories. For both delirium-specific and nonspecific outcome domains, we found multiple outcomes in domains due to differing descriptions and time-points. The Confusion Assessment Method-ICU with Richmond Agitation-Sedation Scale to assess sedation was the most common measure used to ascertain delirium (51, 35%). Measurement generally began at randomization or ICU admission, and lasted from 1 to 30 days, ICU/hospital discharge. Frequency of measurement was highly variable with daily measurement and greater than daily measurement reported for 36% and 37% of studies, respectively.Conclusions: We identified substantial heterogeneity and multiplicity of outcome selection and measurement in published studies. These data will inform the consensus building stage of a core outcome set to inform delirium research in the critically ill. [ABSTRACT FROM AUTHOR]

Objectives: Daily ICU interprofessional team rounds, which incorporate the ICU Liberation ("A" for Assessment, Prevention, and Manage Pain; "B" for Both Spontaneous Awakening Trials and Spontaneous Breathing Trials; "C" for Choice of Analgesia and Sedation; "D" for Delirium Assess, Prevent, and Manage; "E" for Early Mobility and Exercise; "F" for Family Engagement and Empowerment [ABCDEF]) Bundle, support both the care coordination and regular provider communication necessary for Bundle execution. This article describes evidence-based practices for conducting effective interprofessional team rounds in the ICU to improve Bundle performance.Design: Best practice synthesis.Methods: The authors, each extensively involved in the Society of Critical Care Medicine's ICU Liberation Campaign, reviewed the pertinent literature to identify how ICU interprofessional team rounds can be optimized to increase ICU Liberation adherence.Results: Daily ICU interprofessional team rounds that foster ICU Liberation Bundle use support both care coordination and regular provider communication within and between teams. Evidence-based best practices for conducting effective interprofessional team rounds in the ICU include the optimal structure for ICU interprofessional team rounds; the importance of conducting rounds at patients' bedside; essential participants in rounds; the inclusion of ICU patients and their families in rounds-based discussions; and incorporation of the Bundle into the Electronic Health Record. Interprofessional team rounds in the ICU ideally employ communication strategies to foster inclusive and supportive behaviors consistent with interprofessional collaboration in the ICU. Patient care discussions during interprofessional team rounds benefit from being patient-centered and goal-oriented. Documentation of ICU Liberation Bundle elements in the Electronic Health Record may help facilitate team communication and decision-making.Conclusions: Conducting high-quality interprofessional team rounds in the ICU is a key strategy to support ICU Liberation Bundle use. [ABSTRACT FROM AUTHOR]

In ICUs, the natural stressors of patient care are augment by the suffering and death, fear, and uncertainty of the patients. 12 Riley BH, White J, Graham S. Traditional/restrictive vs patient-centered intensive care unit visitation: Perceptions of patients' family members, physicians, and nurses. Information or education interventions for adult intensive care unit (ICU) patients and their carers. 43 Truog RD, Campbell ML, Curtis JR; American Academy of Critical Care Medicine: Recommendations for end-of-life care in the intensive care unit: A consensus statement by the American College [corrected] of Critical Care Medicine. [Extracted from the article]