Systemic inflammation and delirium during critical illness.

PURPOSE: The purpose of this study was to determine associations between markers of inflammation and endogenous anticoagulant activity with delirium and coma during critical illness. METHODS: In this prospective cohort study, we enrolled adults with respiratory failure and/or shock treated in medical or surgical intensive care units (ICUs) at 5 centers. Twice per day in the ICU, and daily thereafter, we assessed mental status using the Richmond Agitation Sedation Scale (RASS) and the Confusion Assessment Method-Intensive Care Unit (CAM-ICU). We collected blood samples on study days 1, 3, and 5, measuring levels of C-reactive protein (CRP), interferon gamma (IFN-γ), interleukin (IL)-1 beta (IL-1ß), IL-6, IL-8, IL-10, IL-12, matrix metalloproteinase-9 (MMP-9), tumor necrosis factor-alpha (TNF-α), tumor necrosis factor receptor 1 (TNFR1), and protein C using validated protocols. We used multinomial logistic regression to analyze associations between biomarkers and the odds of delirium or coma versus normal mental status the following day, adjusting for age, sepsis, Sequential Organ Failure Assessment (SOFA), study day, corticosteroids, and sedatives. RESULTS: Among 991 participants with a median age (interquartile range, IQR) of 62 [53-72] years and enrollment SOFA of 9 [7-11], higher concentrations of IL-6 (odds ratio [OR] [95% CI]: 1.8 [1.4-2.3]), IL-8 (1.3 [1.1-1.5]), IL-10 (1.5 [1.2-1.8]), TNF-α (1.2 [1.0-1.4]), and TNFR1 (1.3 [1.1-1.6]) and lower concentrations of protein C (0.7 [0.6-0.8])) were associated with delirium the following day. Higher concentrations of CRP (1.4 [1.1-1.7]), IFN-γ (1.3 [1.1-1.5]), IL-6 (2.3 [1.8-3.0]), IL-8 (1.8 [1.4-2.3]), and IL-10 (1.5 [1.2-2.0]) and lower concentrations of protein C (0.6 [0.5-0.8]) were associated with coma the following day. IL-1ß, IL-12, and MMP-9 were not associated with mental status. CONCLUSION: Markers of inflammation and possibly endogenous anticoagulant activity are associated with delirium and coma during critical illness.

Exploring genetic risk for catatonia in a genome wide association study and polygenic risk score analysis.

BACKGROUND: Catatonia is an under-recognized disorder characterized by psychomotor (increased, decreased, or abnormal) changes, affective symptoms, and disturbance of volition, which may arise in the setting of decompensated psychiatric or non-psychiatric medical disorders. Genetic studies of catatonia are limited, and to the best of our knowledge no prior genome wide association studies of catatonia have been performed to date. METHODS: First we performed a genome wide association study of catatonia regardless of etiology (psychiatric or non-psychiatric). Secondarily we evaluated whether there was an elevated genetic risk profile for predisposing psychiatric disorders (schizophrenia spectrum disorder, bipolar affective disorder, etc.) in patients with catatonia. We used a matched case control design and applied polygenic risk scores to evaluate for a shared polygenetic contribution to catatonia from common psychiatric phenotypes that show a high prevalence of catatonia in their decompensated states. RESULTS: Anxiety, bipolar affective disorder, schizophrenia spectrum disorder and cross disorder polygenic risk scores were significantly associated with catatonia case status in both unadjusted and adjusted logistic regression models for the European Ancestry set even after correcting for multiple comparisons. Depression, Alzheimer's, Autism Spectrum Disorder and Obsessive Disorder polygenic risk scores were not significantly associated with catatonia status in participants of European Ancestry. In the African Ancestry set, no psychiatric polygenic risk scores were significantly associated with catatonia status in either the unadjusted or adjusted regression models. CONCLUSIONS: Even after controlling for relevant covariates, anxiety, bipolar affective disorder, schizophrenia spectrum disorder and cross disorders were significantly associated with catatonia status suggesting that there might be a shared genetic risk for those disorders amongst patients with catatonia.

Effects of Specialist Palliative Care for Patients Undergoing Major Abdominal Surgery for Cancer: A Randomized Clinical Trial.

Importance: Specialist palliative care benefits patients undergoing medical treatment of cancer; however, data are lacking on whether patients undergoing surgery for cancer similarly benefit from specialist palliative care. Objective: To determine the effect of a specialist palliative care intervention on patients undergoing surgery for cure or durable control of cancer. Design, Setting, and Participants: This was a single-center randomized clinical trial conducted from March 1, 2018, to October 28, 2021. Patients scheduled for specified intra-abdominal cancer operations were recruited from an academic urban referral center in the Southeastern US. Intervention: Preoperative consultation with palliative care specialists and postoperative inpatient and outpatient palliative care follow-up for 90 days. Main Outcomes and Measures: The prespecified primary end point was physical and functional quality of life (QoL) at postoperative day (POD) 90, measured by the Functional Assessment of Cancer Therapy-General (FACT-G) Trial Outcome Index (TOI), which is scored on a range of 0 to 56 with higher scores representing higher physical and functional QoL. Prespecified secondary end points included overall QoL at POD 90 measured by FACT-G, days alive at home until POD 90, and 1-year overall survival. Multivariable proportional odds logistic regression and Cox proportional hazards regression models were used to test the hypothesis that the intervention improved each of these end points relative to usual care in an intention-to-treat analysis. Results: A total of 235 eligible patients (median [IQR] age, 65.0 [56.8-71.1] years; 141 male [60.0%]) were randomly assigned to the intervention or usual care group in a 1:1 ratio. Specialist palliative care was received by 114 patients (97%) in the intervention group and 1 patient (1%) in the usual care group. Adjusted median scores on the FACT-G TOI measure of physical and functional QoL did not differ between groups (intervention score, 46.77; 95% CI, 44.18-49.04; usual care score, 46.23; 95% CI, 43.08-48.14; P = .46). Intervention vs usual care group odds ratio (OR) was 1.17 (95% CI, 0.77-1.80). Palliative care did not improve overall QoL measured by the FACT-G score (intervention vs usual care OR, 1.09; 95% CI, 0.75-1.58), days alive at home (OR, 0.87; 95% CI, 0.69-1.11), or 1-year overall survival (hazard ratio, 0.97; 95% CI, 0.50-1.88). Conclusions and Relevance: This randomized clinical trial showed no evidence that early specialist palliative care improves the QoL of patients undergoing nonpalliative cancer operations. Trial Registration: ClinicalTrials.gov Identifier: NCT03436290.

Dynamic predictors of in-hospital and 3-year mortality after traumatic brain injury: A retrospective cohort study.

BACKGROUND: Mortality risks after Traumatic Brain Injury (TBI) are understudied in critical illness. We sought to identify risks of mortality in critically ill patients with TBI using time-varying covariates. METHODS: This single-center, six-year (2006-2012), retrospective cohort study measured demographics, injury characteristics, and daily data of acute TBI patients in the Intensive Care Unit (ICU). Time-varying Cox proportional hazards models assessed in-hospital and 3-year mortality. RESULTS: Post-TBI ICU patients (n = 2664) experienced 20% in-hospital mortality (n = 529) and 27% (n = 706) 3-year mortality. Glasgow Coma Scale motor subscore (hazard ratio (HR) 0.58, p < 0.001), pupil reactivity (HR 3.17, p < 0.001), minimum glucose (HR 1.44, p < 0.001), mSOFA score (HR 1.81, p < 0.001), coma (HR 2.26, p < 0.001), and benzodiazepines (HR 1.38, p < 0.001) were associated with in-hospital mortality. At three years, public insurance (HR 1.78, p = 0.011) and discharge disposition (HR 4.48, p < 0.001) were associated with death. CONCLUSIONS: Time-varying characteristics influenced in-hospital mortality post-TBI. Socioeconomic factors primarily affect three-year mortality.

Cannabidiol: Knowledge, Beliefs, and Experiences of Patients With Cancer.

BACKGROUND: Cannabidiol (CBD) is purported to work for a variety of therapeutic indications. Interest in CBD products has significantly increased as patients with cancer seek ways to improve symptom control and quality of life. OBJECTIVES: The purpose of this study was to explore patients' knowledge of and experience with CBD. METHODS: A panel of oncology nurse practitioners, an oncologist, and oncology pharmacy specialists developed a survey to capture information about patient knowledge and use of CBD. The initial survey was pilot tested and further refined, resulting in the final item survey. The final survey was administered to 100 participants undergoing or having completed cancer treatment and being followed in a supportive oncology care clinic at a large academic medical center. FINDINGS: Most patients learned about CBD through a family member or friend. The majority of patients had never tried CBD. The most common reported indications were pain, anxiety, and nausea. Of those who had not tried CBD, the most common reasons included lack of knowledge about CBD and providers not recommending CBD.

Prospective Validation of the Preschool Confusion Assessment Method for the ICU to Screen for Delirium in Infants Less Than 6 Months Old.

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.

Statistical analysis plan for the Surgery for Cancer with Option of Palliative Care Expert (SCOPE) trial: a randomized controlled trial of a specialist palliative care intervention for patients undergoing surgery for cancer.

BACKGROUND: The impact of specialist palliative care intervention in patients undergoing surgery for cancer has not been studied extensively. The SCOPE randomized controlled trial will investigate the effect of specialist palliative care intervention in cancer patients undergoing surgery for selected abdominal malignancies. The study protocol of the SCOPE Trial was published in December 2019. METHODS AND DESIGN: The SCOPE Trial is a single-center, single-blind, prospective, randomized controlled trial that will investigate specialist palliative care intervention for cancer patients undergoing surgery for selected abdominal malignancies. The study plans to enroll 236 patients that will be randomized to specialist palliative care (intervention arm) and usual care (control arm) in a 1:1 ratio. RESULTS: The primary outcome of the study is the Functional Assessment of Cancer Therapy-General (FACT-G) Trial Outcome Index (TOI) at 90 days postoperatively. Secondary outcomes of the study include the total FACT-G score at 90 days postoperatively, days alive at home without an emergency room visit within 90 days of operation, and all-cause mortality at 1 year after operation. Time frames for all outcomes will start on the day of surgery. CONCLUSION: This manuscript serves as the formal statistical analysis plan (version 1.0) for the SCOPE randomized controlled trial. The statistical analysis plan was completed on 6 April 2021. TRIAL REGISTRATION: ClinicalTrials.gov NCT03436290 . Registered on 16 February 2018.

Suicide detection and treatment in a nurse-led, interprofessional primary care practice: A 2-year report of quality data.

ABSTRACT: Analysis of 2 years of quality improvement data after the implementation of a suicidality screening and treatment protocol in a primary care setting found that among 1,733 patients, 149 had suicidal ideation. Among the 112 of those patients who remained in care, more than half presented with only nonpsychiatric complaints. Primary care practices may be viable tools to combat the nation's suicide epidemic.

Prevalence and risk factors for delirium in critically ill patients with COVID-19 (COVID-D): a multicentre cohort study.

BACKGROUND: To date, 750 000 patients with COVID-19 worldwide have required mechanical ventilation and thus are at high risk of acute brain dysfunction (coma and delirium). We aimed to investigate the prevalence of delirium and coma, and risk factors for delirium in critically ill patients with COVID-19, to aid the development of strategies to mitigate delirium and associated sequelae. METHODS: This multicentre cohort study included 69 adult intensive care units (ICUs), across 14 countries. We included all patients (aged ≥18 years) admitted to participating ICUs with severe acute respiratory syndrome coronavirus 2 infection before April 28, 2020. Patients who were moribund or had life-support measures withdrawn within 24 h of ICU admission, prisoners, patients with pre-existing mental illness, neurodegenerative disorders, congenital or acquired brain damage, hepatic coma, drug overdose, suicide attempt, or those who were blind or deaf were excluded. We collected de-identified data from electronic health records on patient demographics, delirium and coma assessments, and management strategies for a 21-day period. Additional data on ventilator support, ICU length of stay, and vital status was collected for a 28-day period. The primary outcome was to determine the prevalence of delirium and coma and to investigate any associated risk factors associated with development of delirium the next day. We also investigated predictors of number of days alive without delirium or coma. These outcomes were investigated using multivariable regression. FINDINGS: Between Jan 20 and April 28, 2020, 4530 patients with COVID-19 were admitted to 69 ICUs, of whom 2088 patients were included in the study cohort. The median age of patients was 64 years (IQR 54 to 71) with a median Simplified Acute Physiology Score (SAPS) II of 40·0 (30·0 to 53·0). 1397 (66·9%) of 2088 patients were invasively mechanically ventilated on the day of ICU admission and 1827 (87·5%) were invasively mechanical ventilated at some point during hospitalisation. Infusion with sedatives while on mechanical ventilation was common: 1337 (64·0%) of 2088 patients were given benzodiazepines for a median of 7·0 days (4·0 to 12·0) and 1481 (70·9%) were given propofol for a median of 7·0 days (4·0 to 11·0). Median Richmond Agitation-Sedation Scale score while on invasive mechanical ventilation was -4 (-5 to -3). 1704 (81·6%) of 2088 patients were comatose for a median of 10·0 days (6·0 to 15·0) and 1147 (54·9%) were delirious for a median of 3·0 days (2·0 to 6·0). Mechanical ventilation, use of restraints, and benzodiazepine, opioid, and vasopressor infusions, and antipsychotics were each associated with a higher risk of delirium the next day (all p≤0·04), whereas family visitation (in person or virtual) was associated with a lower risk of delirium (p<0·0001). During the 21-day study period, patients were alive without delirium or coma for a median of 5·0 days (0·0 to 14·0). At baseline, older age, higher SAPS II scores, male sex, smoking or alcohol abuse, use of vasopressors on day 1, and invasive mechanical ventilation on day 1 were independently associated with fewer days alive and free of delirium and coma (all p<0·01). 601 (28·8%) of 2088 patients died within 28 days of admission, with most of those deaths occurring in the ICU. INTERPRETATION: Acute brain dysfunction was highly prevalent and prolonged in critically ill patients with COVID-19. Benzodiazepine use and lack of family visitation were identified as modifiable risk factors for delirium, and thus these data present an opportunity to reduce acute brain dysfunction in patients with COVID-19. FUNDING: None. TRANSLATIONS: For the French and Spanish translations of the abstract see Supplementary Materials section.

Inflammation and Coagulation during Critical Illness and Long-Term Cognitive Impairment and Disability.

Rationale: The biological mechanisms of long-term cognitive impairment and disability after critical illness are unclear.Objectives: To test the hypothesis that markers of acute inflammation and coagulation are associated with subsequent long-term cognitive impairment and disability.Methods: We obtained plasma samples from adults with respiratory failure or shock on Study Days 1, 3, and 5 and measured concentrations of CRP (C-reactive protein), IFN-γ, IL-1ß, IL-6, IL-8, IL-10, IL-12, MMP-9 (matrix metalloproteinase-9), TNF-α (tumor necrosis factor-α), soluble TNF receptor 1, and protein C. At 3 and 12 months after discharge, we assessed global cognition, executive function, and activities of daily living. We analyzed associations between markers and outcomes using multivariable regression, adjusting for age, sex, education, comorbidities, baseline cognition, doses of sedatives and opioids, stroke risk (in cognitive models), and baseline disability scores (in disability models).Measurements and Main Results: We included 548 participants who were a median (interquartile range) of 62 (53-72) years old, 88% of whom were mechanically ventilated, and who had an enrollment Sequential Organ Failure Assessment score of 9 (7-11). After adjusting for covariates, no markers were associated with long-term cognitive function. Two markers, CRP and MMP-9, were associated with greater disability in basic and instrumental activities of daily living at 3 and 12 months. No other markers were consistently associated with disability outcomes.Conclusions: Markers of systemic inflammation and coagulation measured early during critical illness are not associated with long-term cognitive outcomes and demonstrate inconsistent associations with disability outcomes. Future studies that pair longitudinal measurement of inflammation and related pathways throughout the course of critical illness and during recovery with long-term outcomes are needed.

Depression predicts long-term cognitive impairment in survivors of critical illness.

INTRODUCTION: Intensive care unit (ICU) survivorship is associated with long-term cognitive impairment (LTCI). Our work has found post-ICU depression in up to 30% and posttraumatic stress disorder (PTSD) in up to 10% of ICU survivors. We hypothesized that post-ICU depression and PTSD are independently associated with LTCI in ICU survivors. METHODS: This is a five-center nested prospective cohort of critically ill patients admitted to medical and surgical ICUs who underwent neuropsychological assessments at 3 and 12 months posthospital discharge. Our primary outcome was global cognition using the Repeatable Battery for the Assessment of Neuropsychological Status (RBANS) and Trail Making Test, Part B, a test of executive functioning, at 3- and 12-month follow-up. Our independent variables were Beck Depression Inventory II and the PTSD Checklist-Specific Version measured at 3 and 12 months. We performed multivariable linear regression models controlling for covariates such as age, years of education, preexisting cognitive impairment, comorbidities, ventilator days, hypoxemia episodes, and days of delirium or coma. RESULTS: Of 1,047 patients in the combined cohort, 679 were alive and available for follow-up at 3 months. A total of 590 (87%) ICU survivors completed at least one 3-month assessment, and of the 554 who survived to 12 months, 519 (94%) completed both a 3- and 12-month assessment with a median age of 61 years (52-70 years) and mean daily Sequential Organ Failure Assessment score of 6 (4-8), 520 (88%) were mechanically ventilated, and 420 (71%) were with delirium. Of these, 113 (19%) had PTSD and 187 (32%) had depression at 3 months with similar rates at 12 months. Depression at 3 months was associated with lower 3-month RBANS (coefficient, -2.25; -3.10 to -1.39) and lower Trails B scores at both 3 months (odds ratio, 0.69; 0.56-0.85) and 12 months (odds ratio, 0.66; 0.52-0.84). Posttraumatic stress disorder at 3 months had no association with RBANS or Trails B scores at 3 or 12 months. CONCLUSION: Early post-ICU depression, but not PTSD, is independently associated with coexisting LTCI, even when controlling for past ICU delirium. Treatment for early depression represents a novel intervention area for LTCI prevention in ICU survivors. LEVEL OF EVIDENCE: Prognostic/epidemiological, level III.

Socioeconomic Factors and Intensive Care Unit-Related Cognitive Impairment.

OBJECTIVE: We aimed to identify socioeconomic and clinical risk factors for post-intensive care unit (ICU)-related long-term cognitive impairment (LTCI). SUMMARY BACKGROUND DATA: After delirium during ICU stay, LTCI has been increasingly recognized, but without attention to socioeconomic factors. METHODS: We enrolled a prospective, multicenter cohort of ICU survivors with shock or respiratory failure from surgical and medical ICUs across 5 civilian and Veteran Affairs (VA) hospitals from 2010 to 2016. Our primary outcome was LTCI at 3- and 12 months post-hospital discharge defined by the Repeatable Battery for Assessment of Neuropsychological Symptoms (RBANS) global score. Covariates adjusted using multivariable linear regression included age, sex, race, AHRQ socioeconomic index, Charlson comorbidity, Framingham stroke risk, Sequential Organ Failure Assessment, duration of coma, delirium, hypoxemia, sepsis, education level, hospital type, insurance status, discharge disposition, and ICU drug exposures. RESULTS: Of 1040 patients, 71% experienced delirium, and 47% and 41% of survivors had RBANS scores >1 standard deviation below normal at 3- and 12 months, respectively. Adjusted analysis indicated that delirium, non-White race, lower education, and civilian hospitals (as opposed to VA), were associated with at least a half standard deviation lower RBANS scores at 3- and 12 months (P ≤ 0.03). Sex, AHRQ socioeconomic index, insurance status, and discharge disposition were not associated with RBANS scores. CONCLUSIONS: Socioeconomic and clinical risk factors, such as race, education, hospital type, and delirium duration, were linked to worse PICS ICU-related, LTCI. Further efforts may focus on improved identification of higher-risk groups to promote survivorship through emerging improvements in cognitive rehabilitation.