Diagnosis of delirium: a practical approach.

Delirium is an acute disorder of fluctuating attention and awareness with cardinal features that allow it to be positively distinguished from other causes of an acute confusional state. These features include fluctuations, prominent inattentiveness with other cognitive deficits, a change in awareness and visual hallucinations. We describe a framework for diagnosing delirium, noting the need to consider certain caveats and differential diagnoses. Delirium is a clinical diagnosis where a thorough history and clinical examination are much more helpful diagnostically than any single test or combination of tests.

Characteristics and outcomes of COVID-19 inpatients who underwent psychiatric consultations.

Patients hospitalized with COVID-19 are at risk of developing many neuropsychiatric disorders, due to the effects of the disease on the brain and the psychosocial pressures of having the disease. The aim of the present study was to evaluate the characteristics and outcomes of patients who were hospitalized with a diagnosis of COVID-19, who underwent psychiatric consultations. The medical records of 892 patients hospitalized due to COVID-19 and the 89 among them who requested psychiatric consultations were analyzed retrospectively. After the psychiatric consultations, patients were most frequently diagnosed with delirium (38.2 %), adjustment disorder (27.0 %), depressive disorder (19.1 %) and anxiety disorder (11.2 %). Patients with delirium had longer hospital stays (p < 0.001), were transferred more frequently to intensive care units (p < 0.001), and had higher mortality rates during their hospital stays (p < 0.001), than all other patients. The need for oxygen (p < 0.001) and mechanical ventilation (p < 0.001) was also significantly higher in delirium patients, as well as in patients who received other psychiatric diagnoses. Neuropsychiatric disorders develop in patients receiving inpatient treatments in COVID-19 wards, and these disorders negatively affect the prognosis of COVID-19. Our findings suggest that the presence of neuropsychiatric disorders in in-patients with COVID-19 might be associated with the negative outcomes of the disease.

Frequency of delirium and its associated factors among COVID-19 inpatients in Iran.

BACKGROUND AND AIM: Delirium has been presented as the leading cause of sudden change in the mental state of patients with coronavirus disease 2019 (COVID-19). Given that the delayed diagnosis of such a dysfunction is often associated with excess mortality, it seems essential to devote vastly more attention to this significant clinical characteristic. MATERIALS AND METHODS: This cross-sectional study was performed on 309 patients [viz. 259 cases hospitalized in general wards and 50 individuals admitted to the intensive care unit (ICU)]. For this purpose, a Demographic-Clinical Information Questionnaire, the Confusion Assessment Method (CAM), the Confusion Assessment Method for the ICU (CAM-ICU), the Richmond Agitation-Sedation Scale (RASS) and face-to-face interviews were completed by a trained senior psychiatry resident. The data analysis was further done with the SPSS Statistics V22.0 software package. RESULTS: Out of 259 patients admitted to the general wards and 50 cases in the ICU due to COVID-19, 41 (15.8%) and 11 (22%) individuals were diagnosed with delirium, respectively. As well, a significant relationship was observed between the incidence rate of delirium and age (p < 0.001), level of education (p < 0.001), hypertension (HTN) (p = 0.029), a history of stroke (p = 0.025), a history of ischemic heart disease (IHD) (p = 0.007), a history of psychiatric disorders, a history of cognitive impairment (p < 0.001), use of hypnotic and antipsychotic medications (p < 0.001) and a history of substance abuse (p = 0.023). Among 52 patients with delirium, only 20 cases had received psychiatric consultation by consultation-liaison psychiatry service for the possibility of delirium. CONCLUSION: In view of the high frequency of delirium among COVID-19 inpatients, their screening for this important mental state should be a priority in clinical settings.

Delirium in Patients with COVID-19 in Japan.

Objective The incidence and clinical importance of delirium in coronavirus disease 2019 (COVID-19) have not yet been fully investigated. The present study reported the prevalence of delirium in patients with COVID-19 and identified the factors associated with delirium and mortality. Methods We performed an observational, retrospective study of patients diagnosed with COVID-19 at the Kinki-Chuo Chest Medical Center. Univariate and multivariate logistic regression analyses were used to explore delirium risk factors. Patients All consecutive patients diagnosed with COVID-19 at the Kinki-Chuo Chest Medical Center. Results We identified 600 patients [median age: 61.0 (interquartile range: 49.0-77.0) years old], of whom 61 (10.2%) developed delirium during their stay. Compared with patients without delirium, these patients were older (median age 84.0 vs. 56.0 years old, p<0.01) and had more comorbidities. Based on a multivariate analysis, age, dementia, severe disease, and lactate dehydrogenase (LDH) levels were independent risk factors for developing delirium. For every 1-year increase in age and 10-IU/L increase in LDH, the delirium risk increased by 10.8-12.0% and 4.6-5.7%, respectively. There were 15 (24.6%) in-hospital deaths in the group with delirium and 8 (1.6%) in the group without delirium (p<0.01). Delirium was associated with an increased mortality. Conclusion Delirium in patients with COVID-19 is prevalent and associated with poor clinical outcomes in Japan. Despite difficulties with COVID-19 patient care during the pandemic, physicians should be aware of the risk of delirium and be trained in its optimal management.

Comorbidity and Management of Concurrent Psychiatric and Medical Disorders.

Aging increases susceptibility to medical and psychiatric comorbidity via interrelated biological, psychological, and social mechanisms. Mental status changes or other psychiatric symptoms occurring in older adults with medical disorders most often result from delirium, depression, or the onset of Alzheimer's disease and related dementias (ADRD). Clinicians can use evidence-based tools to evaluate such symptoms including the 4A's Test for delirium, the Saint Louis University Mental Status Exam, and the Geriatric Depression Scale. Innovative models such as collaborative care can improve the outcome of care of older adults with medical disorders requiring treatment for depression or ADRD..

Delirium and Covid-19 in the old adults: practical implications / Confusion et Covid-19 chez la personne âgée : implications pour la pratique

Covid-19 is the pathology associated with infection with the pandemic SARS-Cov-2 coronavirus. In people over 75 years of age, several studies alert clinicians to specificities. In particular, the confusion, acute brain failure, appears to be linked to Covid-19. This review of the literature explores the implications for practice of the presence of delirium during Covid-19 at the level of: epidemiology, pathophysiology, diagnostic phase, prerequisites and management. It also details the implications of post-acute infection.

La Covid-19 est la pathologie liée à une infection au coronavirus pandémique SARS-Cov-2. Chez les personnes âgées de plus de 75 ans, plusieurs études alertent les cliniciens sur des spécificités. En particulier, la confusion, altération fonctionnelle cérébrale aiguë, semble être liée à la Covid-19. Cette revue de la littérature explore les implications pour la pratique de la présence d'un tableau confusionnel dans la Covid-19 au niveau : de l'épidémiologie, de la physiopathologie, de la phase de diagnostic, des préalables et de la prise en charge. Elle détaille aussi les implications dans les suites de l'infection aiguë.

Quality Improvement in Delirium Health Literacy in Older Adult Patients and Their Caregivers Attending a Geriatric Clinic.

Background: Delirium is a common medical condition that is highly prevalent in older adults who are at increased risk for its development with any illness, post-surgery or during hospitalization. The purpose of our study was to evaluate the health literacy of older adult patients and their caregivers about delirium, offer a brief educational intervention, and reevaluate their knowledge post intervention. Materials and Methods: We conducted a quality improvement project, focused on delirium health literacy in older adult patients ≥60 years and their caregivers. Delirium knowledge of participants was evaluated in a pre-education survey after which they were given a delirium education booklet to read. A post-education delirium survey was conducted within 2-3 weeks of the educational intervention. Chi-square test was used to analyze the knowledge base of older adults. Results: The study population consisted of a total of 70 older adults who participated in pre-education (n=35) and post-education (n=35) surveys. Older adult patients and their caregivers had significant knowledge gaps about the potential causes or etiologies, risk factors, symptomatology, and prevention of delirium in the pre-education survey. After the educational intervention, in the post-education survey, there were overall improvements in knowledge base of older adults in differentiating delirium with dementia (43% vs 94%, p<0.01) recognizing signs and symptoms (77% vs 94%, p<0.05), complications (76% vs 100%, p<0.01) and identifying the etiological factors associated with delirium. Conclusion: The quality improvement project demonstrated that older adults and caregivers have significant knowledge deficits about the common condition of delirium. This study also demonstrated that older adults were able to improve their health literacy regarding delirium after the intervention. Appropriate education on delirium for patients and caregivers might help in earlier identification, prevention, and better overall management of delirium.

Variables associated with concordance or discordance for delirium diagnosis between referring and consulting physicians at a Tertiary Hospital in Colombia: Prospective observational study.

Delirium is an acute state of impaired consciousness and a medical urgency. Its broad range of alterations in mental status make diagnosis challenging. Awareness and accurate provisional diagnosis by nonpsychiatric clinicians are important for prompt management. Because delirium symptoms overlap and mimic other neuropsychiatric conditions, a referral to a consultant psychiatrist is often needed. The aim of this study was to determine the discriminating variables that are associated with concordance or discordance for a DSM-5 delirium diagnosis made by the consultation/liaison (C/L) psychiatrist as compared to the referral diagnosis/reasons given by the referring physicians for inpatients from a Tertiary Hospital in a Latin-American country. Prospective study of a cohort of 399 consecutive patients admitted to any ward of a university hospital in Medellin-Colombia and referred by a specialist physician to the C/L Psychiatry service. Analyses for diagnostic concordance used a nested sample of 140 cases diagnosed with delirium by the psychiatrist. Two multivariate logistic models were run, for delirium diagnosis concordance and discordance between the referring physician and C/L psychiatrist. The referral diagnosis was concordant with that of Psychiatry in 90/140 patients in 64.3%, with 35.7% discordance. Increasing age (OR = 1.024) and internal medicine ward (OR = 3.0) were significantly related (Wald statistic P < .05) to concordance in the multivariate analysis whose model accuracy was 68.6%. Trauma/orthopedics ward (OR = 5.7) and SARS-CoV-2 infection (OR = 3.8) were important contributors to the model fit though not significant. Accuracy of the discordance model was 70.7%, where central nervous system (CNS) disorder (OR = 6.1) and referrals from ICU (OR = 4.9), surgery (OR = 4.6), neurology/neurosurgery (OR = 5.1) and another consultant (OR = 4.7) were significantly related (Wald statistic P < .05), while metabolic/endocrine disorder (OR = 2.7) was important for model fit, but not significant. Concordance for delirium diagnosis was higher from services where education, guidelines and working relationships with C/L Psychiatry could have contributed beneficially whereas, surprisingly, CNS disorders and neurology/neurosurgery services had higher discordance, as well as the ICU. Routine use of brief sensitive delirium assessment tools such as the DDT-Pro could enhance provisional delirium diagnosis.

Evaluation of neurological disorders that develop concurrently with COVID-19 pneumonia: a retrospective analysis.

BACKGROUND: During the pandemic, many neurological symptoms have been evaluated as complications of COVID-19 pneumonia. OBJECTIVE: To investigate the frequency and characteristics of neurological findings, and their effects on the prognosis of patients with COVID-19 pneumonia who consulted with the Neurology department. METHODS: Data on 2329 patients who were hospitalized with the diagnosis of COVID-19 pneumonia in our hospital were scanned. The clinical, laboratory and radiological findings relating to treatment of 154 patients who required neurological consultation were retrospectively evaluated by reviewing the clinical notes. RESULTS: The number of COVID-19 pneumonia patients who required neurological consultations while hospitalized in the ICU was 94 (61.0%). The most common symptom among these patients was hyperactive delirium. Mean age, ferritin levels and CRP values ​​of those with delirium were higher, while the mean lymphocyte percentage were lower, than those of the patients without delirium. Epileptic seizures were observed in eight patients without an epilepsy diagnosis. Two patients were diagnosed with GBS and one patient with ICU neuropathy. The D-dimer levels of patients with acute hemorrhagic CVD and the thrombocyte levels of patients with acute ischemic CVD were found to be higher than in patients without acute ischemic CVD. CONCLUSION: The proportion of patients who required neurological consultations was higher in the ICUs. We observed neurological symptoms more frequently in the advanced age group. There were no significant increases in the incidence of other neurological conditions except delirium, in COVID-19 patients. We think that further studies are needed to support our data.

Consensus of the Liaison-Psychiatry Committee of the Colombian Psychiatric Association on the diagnosis and treatment of delirium in the context of the COVID-19 pandemic.

The pandemic caused by the new coronavirus named SARS-CoV-2 poses unprecedented challenges in the health care. Among them is the increase in cases of delirium. The severe SARS-CoV-2 disease, COVID-19, has common vulnerabilities with delirium and produces alterations in organs such as the lungs or the brain, among others, which have the potential to trigger the mental disorder. In fact, delirium may be the first manifestation of the infection, before fever, general malaise, cough or respiratory disturbances. It is widely supported that delirium increases the morbidity and mortality in those who suffer from it during hospitalization, so it should be actively sought to carry out the relevant interventions. In the absence of evidence on the approach to delirium in the context of COVID-19, this consensus was developed on three fundamental aspects: diagnosis, non-pharmacological treatment and pharmacological treatment, in patients admitted to the general hospital. The document contains recommendations on the systematic use of diagnostic tools, when to hospitalize the patient with delirium, the application of non-pharmacological actions within the restrictions imposed by COVID-19, and the use of antipsychotics, taking into account the most relevant side effects and pharmacological interactions.

Sedative polypharmacy mediates the effect of mechanical ventilation on delirium in critically ill COVID-19 patients: A retrospective cohort study.

BACKGROUND: Polypharmacy of sedatives (PP) is a potentially modifiable, iatrogenic risk factor for ICU delirium. The extent to which sedative PP influenced development of high rates of delirium among critically ill COVID-19 patients is unknown. We tested the hypothesis that PP, defined as the use of four or more classes of intravenous agents, is a mediator in the causal pathway of mechanical ventilation and delirium. METHODS: Retrospective cohort study of adults admitted with a primary diagnosis of RT-PCR+ for SARS-CoV2 to ICUs of a tertiary-level academic medical center between February 2020 and April 2021. Mediation analysis was conducted with bootstrap estimation to assess whether an association between mechanical ventilation and delirium was mediated by PP. Analyses were adjusted for potential confounders related to mechanical ventilation, mediator, and outcome, including age, gender, vasopressor use, median RASS scores, SOFA score within 24 h of admission, and maximum CRP levels. RESULTS: A total of 212 patients were included in the analysis. Of total patients, 72.6%(154/212) of patients had delirium (CAM-ICU+) during ICU stay. 54.7%(116/212) patients received PP. Mechanical ventilation (OR 3.81 [1.16-12.52]) and PP (OR 7.38 [2.4-22.68]) were identified as risk factors for development of ICU delirium after adjusting for prespecified confounders. PP acts as a mediator in the causal pathway between mechanical ventilation and delirium. 39% (95% CI: 17%-94%) of the effect of mechanical ventilation on delirium was mediated through PP. CONCLUSION: PP mediates approximately 39% of the effect of mechanical ventilation on delirium, which is clinically and statistically significant. Studies should assess whether mitigating PP could lead to reduction in ICU delirium. IMPLICATION STATEMENT: PP of sedatives (defined as use of four or more intravenous agents) mediates approximately 39% of the effect of mechanical ventilation on development of ICU delirium. Avoidance of sedative PP may represent a viable strategy for reduction of ICU delirium.

Relationship between no-visitation policy and the development of delirium in patients admitted to the intensive care unit.

BACKGROUND: Due to the severe acute respiratory syndrome coronavirus 2 (SARS-Cov-2) pandemic, many hospitals imposed a no-visitation policy for visiting patients in hospitals to prevent the transmission of SARS-CoV-2 among visitors and patients. The objective of this study was to investigate the association between the no-visitation policy and delirium in intensive care unit (ICU) patients. METHODS: This was a single-center, before-after comparative study. Patients were admitted to a mixed medical-surgical ICU from September 6, 2019 to October 18, 2020. Because no-visitation policy was implemented on February 26, 2020, we compared patients admitted after this date (after phase) with the patients admitted before the no-visitation policy (before phase) was implemented. The primary outcome was the incidence of delirium during the ICU stay. Cox regression was used for the primary analysis and was calculated using hazard ratios (HRs) and 95% confidence intervals (CIs). Covariates were age, sex, APACHE II, dementia, emergency surgery, benzodiazepine, and mechanical ventilation use. RESULTS: Of the total 200 patients consecutively recruited, 100 were exposed to a no-visitation policy. The number of patients who developed delirium during ICU stay during the before phase and the after phase were 59 (59%) and 64 (64%), respectively (P = 0.127). The adjusted HR of no-visitation policy for the number of days until the first development of delirium during the ICU stay was 0.895 (0.613-1.306). CONCLUSION: The no-visitation policy was not associated with the development of delirium in ICU patients.

Monitoring of sedation in mechanically ventilated patients using remote technology.

PURPOSE OF REVIEW: Two years of coronavirus disease 2019 (COVID-19) pandemic highlighted that excessive sedation in the ICU leading to coma and other adverse outcomes remains pervasive. There is a need to improve monitoring and management of sedation in mechanically ventilated patients. Remote technologies that are based on automated analysis of electroencephalogram (EEG) could enhance standard care and alert clinicians real-time when severe EEG suppression or other abnormal brain states are detected. RECENT FINDINGS: High rates of drug-induced coma as well as delirium were found in several large cohorts of mechanically ventilated patients with COVID-19 pneumonia. In patients with acute respiratory distress syndrome, high doses of sedatives comparable to general anesthesia have been commonly administered without defined EEG endpoints. Continuous limited-channel EEG can reveal pathologic brain states such as burst suppression, that cannot be diagnosed by neurological examination alone. Recent studies documented that machine learning-based analysis of continuous EEG signal is feasible and that this approach can identify burst suppression as well as delirium with high specificity. SUMMARY: Preventing oversedation in the ICU remains a challenge. Continuous monitoring of EEG activity, automated EEG analysis, and generation of alerts to clinicians may reduce drug-induced coma and potentially improve patient outcomes.

Study protocol to test the efficacy of self-administration of dexmedetomidine sedative therapy on anxiety, delirium, and ventilator days in critically ill mechanically ventilated patients: an open-label randomized clinical trial.

BACKGROUND: Administration of sedative and opioid medications to patients receiving mechanical ventilatory support in the intensive care unit is a common clinical practice. METHODS: A two-site randomized open-label clinical trial will test the efficacy of self-management of sedative therapy with dexmedetomidine compared to usual care on anxiety, delirium, and duration of ventilatory support after randomization. Secondary objectives are to compare self-management of sedative therapy to usual care on level of alertness, total aggregate sedative and opioid medication exposure, and ventilator-free days up to day 28 after study enrolment. Exploratory objectives of the study are to compare self-management of sedative therapy to usual care on 3- and 6-month post-discharge physical and functional status, psychological well-being (depression, symptoms of post-traumatic stress disorder), health-related quality of life, and recollections of ICU care. ICU patients (n = 190) who are alert enough to follow commands to self-manage sedative therapy are randomly assigned to self-management of sedative therapy or usual care. Patients remain in the ICU sedative medication study phase for up to 7 days as long as mechanically ventilated. DISCUSSION: The care of critically ill mechanically ventilated patients can change significantly over the course of a 5-year clinical trial. Changes in sedation and pain interventions, oxygenation approaches, and standards related to extubation have substantially impacted consistency in the number of eligible patients over time. In addition, the COVID-19 pandemic resulted in mandated extended pauses in trial enrolment as well as alterations in recruitment methods out of concern for study personnel safety and availability of protective equipment. Patient triaging among healthcare institutions due to COVID-19 cases also has resulted in inconsistent access to the eligible study population. This has made it even more imperative for the study team to be flexible and innovative to identify and enrol all eligible participants. Patient-controlled sedation is a novel approach to the management of patient symptoms that may be able to alleviate mechanical ventilation-induced distress without serious side effects. Findings from this study will provide insight into the efficacy of this approach on short- and long-term outcomes in a subset of mechanically ventilated patients. TRIAL REGISTRATION: ClinicalTrials.gov NCT02819141. Registered on June 29, 2016.

Comparison of Psychiatric Symptoms in Patients with COVID-19 Hospitalized in Intensive Care Unit and Non-Intensive Care Unit.

BACKGROUND: The aim of this study was to compare of psychiatric symptoms in patients with COVID-19 hospitalized in intensive care units and non-intensive care units. SUBJECTS AND METHODS: 3351 hospitalized patients due to COVID-19 were retrospectively scanned, and 130 of patients were checked by attending consultation psychiatrists. RESULTS: The mean age of the patients with COVID-19 hospitalized in ICU (75±11.3) was higher than those hospitalized in non-ICU (57.9±14) (p<0.001). The rate of patients aged 65 and over was higher in patients with COVID-19 hospitalized ICU (86.3%) than those hopitalized in non-ICU (40.5%) (p<0.001). The frequency of psychiatric consultations due to delirium was higher in the patients hospitalized in ICU than those hospitalized in non-ICU (p<0.001). Haloperidol and SSRIs were preferred more frequently by psychiatrists in the patients hospitalized in ICU than those hospitalized in non-ICU (p<0.001 and p=0.041, respectively). CONCLUSIONS: Insomnia and delirium are the most frequent psychiatric manifestations in hospitalized COVID-19 patients, and delirium and anxiety are more common in the COVID-19 patients who are hospitalized in ICU.

Towards understanding the nature and need of delirium guidelines across nations and cultures.

BACKGROUND: Delirium is associated with a variety of adverse healthcare outcomes but is highly predictable, preventable and treatable. For this reason, numerous guidelines have been developed for delirium recognition, prevention and management across different countries and disciplines. Although research is adduced as evidence for these guidelines, a constant finding is the lack of implementation if they exist at all. Implementation is a human behaviour that can be influenced by various factors including culture at a micro- and macro-level. Hofstede's model proposes that national cultures vary along six consistent dimensions. AIM: Using this model, we examined the nature of delirium guidelines across countries in relation to Hofstede's six cultural dimensions. METHODS: Data collected for each country on: the six dimensions of Hofstede's model, number of delirium guidelines approved by a National professional body of each country (through searching databases), the annual old-age dependency ratio for each country. RESULTS: Sixty-four countries had the completed six dimensions of Hofstede's model. Twenty of them (31%) had one or more delirium guidelines. The total number of different delirium guidelines was 45. Countries with formal delirium guidelines have significantly lower power distance among their members, are more individualistic societies, have lower levels of uncertainty avoidance and higher old-age dependency ratio compared to those without delirium guidelines. DISCUSSION/CONCLUSION: The development and implementation of delirium guidelines vary across countries. Specific combinations of cultural dimensions influence the production of delirium guidelines. Understanding these important cultural differences can facilitate more widespread acceptance and implementation of guidelines.

COVID-19 severity and age increase the odds of delirium in hospitalized adults with confirmed SARS-CoV-2 infection: a cohort study.

BACKGROUND: Despite recognition of the neurologic and psychiatric complications associated with SARS-CoV-2 infection, the relationship between coronavirus disease 19 (COVID-19) severity on hospital admission and delirium in hospitalized patients is poorly understood. This study sought to measure the association between COVID-19 severity and presence of delirium in both intensive care unit (ICU) and acute care patients by leveraging an existing hospital-wide systematic delirium screening protocol. The secondary analyses included measuring the association between age and presence of delirium, as well as the association between delirium and safety attendant use, restraint use, discharge home, and length of stay. METHODS: In this single center retrospective cohort study, we obtained electronic medical record (EMR) data using the institutional Epic Clarity database to identify all adults diagnosed with COVID-19 and hospitalized for at least 48-h from February 1-July 15, 2020. COVID-19 severity was classified into four groups. These EMR data include twice-daily delirium screenings of all patients using the Nursing Delirium Screening Scale (non-ICU) or CAM-ICU (ICU) per existing hospital-wide protocols. RESULTS: A total of 99 patients were diagnosed with COVID-19, of whom 44 patients required ICU care and 17 met criteria for severe disease within 24-h of admission. Forty-three patients (43%) met criteria for delirium at any point in their hospitalization. Of patients with delirium, 24 (56%) were 65 years old or younger. After adjustment, patients meeting criteria for the two highest COVID-19 severity groups within 24-h of admission had 7.2 times the odds of having delirium compared to those in the lowest category [adjusted odds ratio (aOR) 7.2; 95% confidence interval (CI) 1.9, 27.4; P = 0.003]. Patients > 65 years old had increased odds of delirium compared to those < 45 years old (aOR 8.7; 95% CI 2.2, 33.5; P = 0.003). Delirium was associated with increased odds of safety attendant use (aOR 4.5; 95% CI 1.0, 20.7; P = 0.050), decreased odds of discharge home (aOR 0.2; 95% CI 0.06, 0.6; P = 0.005), and increased length of stay (aOR 7.5; 95% CI 2.0, 13; P = 0.008). CONCLUSIONS: While delirium is common in hospitalized patients of all ages with COVID-19, it is especially common in those with severe disease on hospital admission and those who are older. Patients with COVID-19 and delirium, compared to COVID-19 without delirium, are more likely to require safety attendants during hospitalization, less likely to be discharged home, and have a longer length of stay. Individuals with COVID-19, including younger patients, represent an important population to target for delirium screening and management as delirium is associated with important differences in both clinical care and disposition.

Early Clinical and Electrophysiological Brain Dysfunction Is Associated With ICU Outcomes in COVID-19 Critically Ill Patients With Acute Respiratory Distress Syndrome: A Prospective Bicentric Observational Study.

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.

Delirium in hospitalized patients with COVID-19 pneumonia: a prospective, cross-sectional, cohort study.

Delirium is an acute confusional state characterized by altered level of consciousness and attention. Coronavirus Disease 2019 (COVID-19), caused by Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2), can manifest itself with this neuropsychiatric disorder. The endpoints of our study were: the frequency of delirium in subjects with COVID-19 pneumonia; the risk factors that predispose to this condition; and the impact of delirium on mortality. Subjects were consecutively enrolled in a Geriatric Unit from January 5th to March 5th, 2021. Inclusion criteria were: diagnosis of SARS-CoV-2 infection, a radiologically documented pneumonia, and the ability of providing informed consent. Exclusion criteria were: absence of radiological evidence of pneumonia, sepsis, and the need of intensive care unit treatment. All subjects were evaluated by means of Richmond Agitation Sedation Scale (RASS) and Confusion Assessment Method-Intensive Care Unit (CAM-ICU) at least twice per day. In the study cohort (n = 71), twenty patients (28.2%) had delirium. Delirium was present on admission in 11.3%, and occurred during hospitalization in 19.0%. Compared to patients without delirium, patients who developed this neuropsychiatric disorder had a higher mortality rate (35% vs 5.9%) and an increased average hospital length of stay (21 days vs 17 days). In the multivariate analysis delirium was associated with frailty (OR = 2.81; CI = 1.4-5.8) and helmet ventilation (OR = 141.05; CI = 4.3-4663.9). Delirium was an independent predictor of mortality. Nearly a third of subjects (28.2%) had delirium during hospitalization for COVID-19. This finding supports the notion that delirium is a common complication of SARS-CoV2 infection. Since delirium is associated with longer hospital stay, and it is an independent marker of increased mortality, clinicians should assess and prevent it.

Longitudinal validation of an electronic health record delirium prediction model applied at admission in COVID-19 patients.

OBJECTIVE: To validate a previously published machine learning model of delirium risk in hospitalized patients with coronavirus disease 2019 (COVID-19). METHOD: Using data from six hospitals across two academic medical networks covering care occurring after initial model development, we calculated the predicted risk of delirium using a previously developed risk model applied to diagnostic, medication, laboratory, and other clinical features available in the electronic health record (EHR) at time of hospital admission. We evaluated the accuracy of these predictions against subsequent delirium diagnoses during that admission. RESULTS: Of the 5102 patients in this cohort, 716 (14%) developed delirium. The model's risk predictions produced a c-index of 0.75 (95% CI, 0.73-0.77) with 27.7% of cases occurring in the top decile of predicted risk scores. Model calibration was diminished compared to the initial COVID-19 wave. CONCLUSION: This EHR delirium risk prediction model, developed during the initial surge of COVID-19 patients, produced consistent discrimination over subsequent larger waves; however, with changing cohort composition and delirium occurrence rates, model calibration decreased. These results underscore the importance of calibration, and the challenge of developing risk models for clinical contexts where standard of care and clinical populations may shift.