Intensive Care Delirium Screening Checklist Research Articles

Delirium management and current practice among Intensive Care Units Doctors, Khartoum

Delirium is a brain dysfunction characterized by attention and cognitive disturbances in a fluctuating manner. The international guidelines recommend daily screening for delirium. The Confusion Assessment Method for the Intensive Care Unit (CAM-ICU) and Intensive Care Delirium Screening Checklist (ICDSC) are the most commonly used methods for assessing delirium. This study aimed to identify barriers and gaps in knowledge and practice. This was a hospital-based Cross-Sectional study. Stratified random sampling was used in this study. 72 ICU doctors were randomly selected. Statistical analyses were performed using IBM SPSS version 23. Descriptive data were presented, and the chi-squared test was used to determine the associations among variables. Statistical significance was set at p < 0.05. More than 70% of the doctors were ≤ 30 years of age and female. A total of 69.4% of the participants had < 1year of experience. In total, 94.4% of the participants worked in medical ICUs. Less than 20% of the doctors used delirium assessment tools, with a statistically significant difference based on experience (p=0.012). Delirium was not regularly assessed in 13.9% of the patients. Non-pharmacological management was applied by 76.4% of doctors, and communication with patients was the most frequent (75%). Haloperidol was the most commonly used drug (83.3%). A total of 40.3% of doctors did not stop delirium medication on ICU discharge. A regular delirium assessment was performed. However, the use of validated assessment tools is uncommon. Nonpharmacological management of delirium is important and is mostly performed. Our doctors prescribed antipsychotics for the treatment of both forms of delirium, and almost half of them did not stop the medications on ICU discharge. Medication reconciliation and contact with the next in-charge of the patients are important.

Brain functional magnetic resonance imaging in ICU patients who developed delirium

ObjectiveTo detect brain alterations in intensive care unit (ICU) patients who develop delirium using functional magnetic resonance imaging (fMRI) and diffusion tensor imaging (DTI) and to determine their predictive value.MethodsFifty-two patients who were admitted to the ICU of the Affiliated Hospital of Zunyi Medical University between June 2021 and June 2022 were enrolled. Fifteen patients who were diagnosed with delirium by the Intensive Care Delirium Screening Checklist (ICDSC) after MRI were selected as the delirium group, and 15 healthy volunteers who were examined during the same period served as the control group. Both groups underwent fMRI and DTI. Quantitative fMRI and DTI data were compared between the two groups to detect abnormal structural and functional brain damage. The relationships between MRI outliers and clinical indicators in the delirium group were also assessed.ResultsDemographic characteristics and imaging indicators before delirium were not correlated with ICDSC scores after delirium. Compared with the healthy control group, the delirium group had significantly lower regional homogeneity (ReHo) values in the left caudate nucleus and frontal lobe on fMRI. The amplitude of the low-frequency fluctuations (ALFF) values of the delirium group were significantly increased in the hippocampus but significantly decreased in the frontal lobe. Compared with the healthy control group, the delirium group showed reduced mean diffusivity (MD) values, mainly in the right cerebellum and right middle temporal gyrus; reduced radial diffusivity (RD) values, mainly in the anterior cerebellum and right middle temporal gyrus; reduced fractional anisotropy (FA) values, only in the corpus callosum; and reduced axial diffusivity (AD) values, mainly in the anterior cerebellar lobe, right middle temporal gyrus, and left middle frontal gyrus on DTI. The statistical thresholds for quantitative DTI measurements were p < 0.005 at the voxel level and a cluster size > 5.ConclusionAbnormal resting-state brain activity in the left superior frontal gyrus and structural changes in the frontal lobe, temporal lobe, corpus callosum, hippocampus, and cerebellum were observed in ICU patients who developed delirium during hospitalization. Early-brain fMRI and DTI examinations are recommended for the prediction of delirium according to unique quantitative indicators to facilitate early intervention for critically ill patients, reduce the length of hospital stay, and improve patient prognosis.

The predictive value of confusion assessment method-intensive care unit and intensive care delirium screening checklist for delirium in critically ill patients in the intensive care unit: A systematic review and meta-analysis.

Approximately 16%-89% of patients developed delirium during hospitalization in the intensive care unit (ICU). Studies on the accuracy and clinical application of ICU delirium screening tools exist, but the results are inconsistent. Moreover, the accuracy of different screening tools varied greatly. To compare the diagnostic accuracy of Confusion Assessment Method-Intensive Care Unit (CAM-ICU) and Intensive Care Delirium Screening Checklist (ICDSC) for delirium screening in critically ill patients in the ICU. We searched PubMed, Embase, Cochrane Central Register of Controlled Trials, Medline, and SciELO databases for relevant studies by combining relevant medical subject headings (MeSH) and keywords. Each database was searched from its creation to 30 January 2024. The included literature was screened by title, abstract, and full text. The diagnostic studies were summarized using Stata 14.0 software. SEN, SPE, PLR, NLR, DOR, and 95% confidence interval (CI) of the diagnostic studies were combined, the SROC analysis was performed, and the area under curve was estimated. Thirty-two articles from the database met the inclusion criteria. The number of studies on CAM-ICU and ICDSC was 28 and 14, respectively. For CAM-ICU, the pooled sensitivity and specificity were 0.81 (95% CI: 0.81-0.81) and 0.94 (95% CI: 0.94-0.94), and the hierarchical SROC curve was 0.96 (95% CI: 0.93-0.97). Regarding the ICDSC, The pooled sensitivity and specificity were 0.79 (95% CI: 0.68-0.86) and 0.90 (95% CI: 0.84-0.93), and the hierarchical SROC curve was 0.92 (95% CI: 0.89-0.94). Regarding the likelihood ratio, the CAM-ICU has a high PLR of 14.24 (95% CI: 14.24-14.24) and a low NLR of 0.20 (95% CI: 0.20-0.20). The ICDSC has a low PLR of 7.64 (95% CI: 5.37-10.87) and a high NLR of 0.24 (95% CI: 0.16-0.35). CAM-ICU showed good performance in terms of screening and diagnostic efficacies for delirium in critically ill patients. In view of the diagnostic accuracy of these two tools in delirium assessment, the strategies on how to increase their implementation in delirium screening among ICU patients are the focus of future research. CAM-ICU is recommended as the first choice to evaluate delirium in clinical practice, followed by ICDSC. Future studies can explore the predictive value of CAM-ICU and ICDSC in different special populations and different types of delirium.

Delirium detection tools show varying completion rates and positive score rates when used at scale in routine practice in general hospital settings: A systematic review.

Multiple short delirium detection tools have been validated in research studies and implemented in routine care, but there has been little study of these tools in real-world conditions. This systematic review synthesized literature reporting completion rates and/or delirium positive score rates of detection tools in large clinical populations in general hospital settings. PROSPERO (CRD42022385166). Medline, Embase, PsycINFO, CINAHL, and gray literature were searched from 1980 to December 31, 2022. Included studies or audit reports used a validated delirium detection tool performed directly with the patient as part of routine care in large clinical populations (n ≥ 1000) within a general acute hospital setting. Narrative synthesis was performed. Twenty-two research studies and four audit reports were included. Tools used alone or in combination were the Confusion Assessment Method (CAM), 4 'A's Test (4AT), Delirium Observation Screening Scale (DOSS), Brief CAM (bCAM), Nursing Delirium Screening Scale (NuDESC), and Intensive Care Delirium Screening Checklist (ICDSC). Populations and settings varied and tools were used at different stages and frequencies in the patient journey, including on admission only; inpatient, daily or more frequently; on admission and as inpatient; inpatient post-operatively. Tool completion rates ranged from 19% to 100%. Admission positive score rates ranged from: CAM 8%-51%; 4AT 13%-20%. Inpatient positive score rates ranged from: CAM 2%-20%, DOSS 6%-42%, and NuDESC 5-13%. Postoperative positive score rates were 21% and 28% (4AT). All but two studies had moderate-high risk of bias. This systematic review of delirium detection tool implementation in large acute patient populations found clinically important variability in tool completion rates, and in delirium positive score rates relative to expected delirium prevalence. This study highlights a need for greater reporting and analysis of relevant healthcare systems data. This is vital to advance understanding of effective delirium detection in routine care.

Identification of risk factors for the onset of delirium associated with COVID-19 by mining nursing records.

COVID-19 has a range of complications, from no symptoms to severe pneumonia. It can also affect multiple organs including the nervous system. COVID-19 affects the brain, leading to neurological symptoms such as delirium. Delirium, a sudden change in consciousness, can increase the risk of death and prolong the hospital stay. However, research on delirium prediction in patients with COVID-19 is insufficient. This study aimed to identify new risk factors that could predict the onset of delirium in patients with COVID-19 using machine learning (ML) applied to nursing records. This retrospective cohort study used natural language processing and ML to develop a model for classifying the nursing records of patients with delirium. We extracted the features of each word from the model and grouped similar words. To evaluate the usefulness of word groups in predicting the occurrence of delirium in patients with COVID-19, we analyzed the temporal changes in the frequency of occurrence of these word groups before and after the onset of delirium. Moreover, the sensitivity, specificity, and odds ratios were calculated. We identified (1) elimination-related behaviors and conditions and (2) abnormal patient behavior and conditions as risk factors for delirium. Group 1 had the highest sensitivity (0.603), whereas group 2 had the highest specificity and odds ratio (0.938 and 6.903, respectively). These results suggest that these parameters may be useful in predicting delirium in these patients. The risk factors for COVID-19-associated delirium identified in this study were more specific but less sensitive than the ICDSC (Intensive Care Delirium Screening Checklist) and CAM-ICU (Confusion Assessment Method for the Intensive Care Unit). However, they are superior to the ICDSC and CAM-ICU because they can predict delirium without medical staff and at no cost.

Assessing the impact of creating virtual windows on the incidence of delirium in a surgical intensive care unit: a before and after study

Introduction: Delirium is a frequent and important problem in the intensive care unit (ICU), and non-pharmacological means of prevention are limited. The importance of the physical environment in the occurrence of delirium in intensive care has been reported, particularly the presence of windows and daylight. We organized a trial to evaluate if the installation of virtual windows in the form of paintings in rooms without an actual window can limit the occurrence of delirium in ICU patients. Methods: We conducted a retrospective pre and post cohort study in a surgical ICU of a university-affiliated hospital. Patients residing for more than 48 hours in a windowless room before and after the installation of virtual windows were included in the trial. The primary endpoint was the incidence of a positive screening test for delirium during their time in the ICU. The Intensive Care Delirium Screening Checklist (ICDSC) was used as an objective screening tool to assess the occurrence of delirium. Results: A total of 400 patients were included in this trial (pre group: n = 200; post group: n = 200). The groups were well balanced except for the score APACHE II who was significantly higher in the post intervention group. The incidence of a positive screening test for delirium was similar in both groups after correction for confounding factors (29% vs 27%; OR 0,906 [0,584-1,402], p=0,656). Conclusion: The installation of virtual windows did not reduce the incidence of delirium in a surgical intensive care unit. Keywords Critical care, delirium, windows, prevention, circadian cycle.

Nursing diagnoses as factors associated with delirium among intensive care unit patients with sepsis: A retrospective correlational study.

To examine whether nursing diagnoses were associated with delirium in patients with sepsis. Nursing diagnosis is a nurse's clinical judgement about clients' current or potential health conditions. Delirium is regarded as an important nurse-sensitive outcome. Nonetheless, nursing diagnoses associated with delirium have not yet been identified. Retrospective correlational study. This study was carried out from December 2021 to January 2023. We analysed electronic health records of patients with sepsis admitted to the intensive care units (ICUs) of a tertiary hospital in Seoul, South Korea. Delirium was defined based on the Intensive Care Delirium Screening Checklist score. Nursing diagnoses established within 24 h of admission to the ICU were included and were based on the North American Nursing Diagnosis Association diagnostic classification. The data were analysed using logistic regression. Demographics, comorbidities, procedures and physiological measures were adjusted. Regression model was evaluated via receiver operating characteristic curve, Nagelkerke R2 , accuracy and F1 score. The prevalence of delirium in patients with sepsis was 51.8%. Ineffective breathing patterns, decreased cardiac output and impaired skin integrity were significant nursing diagnoses related to delirium. Age ≥ 65 years, Acute Physiology and Chronic Health Evaluation II score, mechanical ventilation, continuous renal replacement therapy, physical restraint and comatose state were also associated with delirium in patients with sepsis. The area under the receiver operating characteristic curve was 0.806. Ineffective breathing patterns, decreased cardiac output and impaired skin integrity could manifest as prodromal symptoms of delirium among patients with sepsis. The prodromal symptoms of delirium revealed through nursing diagnoses can be efficiently used to identify high-risk groups for delirium. The use of nursing diagnosis system should be recommended in clinical practice caring for sepsis patients. STROBE checklist. No patient or public involvement.

Comparison of the effectiveness of delirium evaluation tools in intensive care patients: pre-deliric versions 1 and 2, E-pre-deliric and ICDSC.

This study's objective was to compare the effectiveness of the delirium prediction model (pre-deliric) and the early prediction model (E-pre-deliric) in delirium prediction in an intensive care unit (ICU) according to the Intensive Care Delirium Screening Checklist (ICDSC). Our aim was to determine these models' usability and cut-off values for ICU patients. We classified the studied patients based on their highest ICDSC scores (tested twice daily) during ICU hospitalization. ICDSC scores of 4 or higher indicated positive results for delirium, whereas a score of 0 represented a negative result. We recorded the patients' demographic and clinical details and characteristics and calculated their E-pre-deliric and pre-deliric version 1 and version 2 scores. To evaluate the effectiveness of the models, we used receiver operating characteristic (ROC) curve analysis. Two hundred fifty patients (55.6% males, mean age 60.6±18.7 years) participated in this study. Their mean Acute Physiology and Chronic Health Evaluation II (APACHE-II) score was 17.0±9.1. Delirium was more common in men, patients of older ages, those with high APACHE-II scores, those who had undergone urgent admissions, those with histories of trauma, those with high urea or creatinine values and those who had undergone sedation or mechanical ventilation. Compared to patients who did not develop delirium, those who did had longer ICU stays and hospital stays, as well as greater mortality risk. The cutoff values for the patients' pre-deliric version 1, pre-deliric version 2 and E-pre-deliric scores were 38% [area under ROC (AUROC)=1], 22% (AUROC=1) and 28% (AUROC=1), respectively. This study is the first to compare the pre-deliric and E-pre-deliric prediction models. These models' validity and reliability were acceptable. They were clinically useful, and we identified their cut-off values. These models provide options for early detection of delirium and are easily applicable in the ICU.

Abstract 254: Imaging Findings of Stroke Following Treatment of Ruptured Cerebral Aneurysm Increases Risk of Postoperative Delirium

Introduction Delirium is an acute cognitive or perceptual disturbance that is associated with prolonged hospital and ICU length of stay, therefore, extending recovery time. According to a recent study, approximately one in five patients undergoing intracranial procedures are vulnerable to postoperative delirium within the first three days of surgery.1‐4 Retrospective cohort studies found a link between postoperative delirium and intraoperative hypotension, indicating reduced cerebral blood flow.5 ICSS‐ MRI study (International Carotid Stenting Study Magnetic Resonance Imaging Study), indicated that patients with periprocedural hemodynamic depression had decreased cerebral blood flow and increased the risk of new lesions in imaging.6 Ruptured intracerebral aneurysms are associated with higher morbidity and mortality than unruptured ones. This is secondary to delayed postoperative cerebral ischemia and infarction caused by vasospasm.7 Clinical indicators like delirium can play a role in evaluating for delayed cerebral ischemia and infarction leading to timely management of vasospasms.5,8,9 Our study aimed to assess the association between imaging findings of stroke and delirium in patients who underwent treatment for ruptured aneurysms. Methods We reviewed the medical records of 167 patients with ruptured intracranial aneurysms between 2015‐2019. We included all the patients who had a postoperative delirium assessment, neurological assessments, and MRI/CT scans for evaluation of cerebral ischemia. Patients were divided into 2 groups, one group with delirium and the other without delirium. Delirium was assessed by using the ICD9/10 codes and The Intensive Care Delirium Screening Checklist (ICDSC).10 Results A total of 167 patients presented with ruptured aneurysm and the incidence of delirium was 38.3% (64 patients). Patients with delirium had a median age of 57 (50.0‐65.8) compared to a median age of 55 (44.0‐64.0) in patients without delirium. Additional risk factors (delirium vs no delirium) included a history of stroke (17.5%/7.8%), smoking (30.1% vs 40.6%), female gender (63.1% vs 71.9%), preop‐benzodiazepines (26.2% vs 23.4%), intraoperative hypotension (78.6% vs 85.9%), and history of alcohol abuse (9.7% vs 9.4%). None of these factors reached statistical significance between patients with and without Delirium (p‐value >0.05). A new neurological deficit was noted in 17 (26.6%) patients with delirium compared to 12 (11.7%) patients without delirium (p‐value, 0.01). 24/29 (82.8%) patients with new neurological deficits had imaging finding suggesting acute ischemic changes (p‐value, <0.001). 30/64 (49.9%) patients with delirium had imaging findings associated with acute ischemic changes on imaging (p‐value, 0.001). After adjusting for confounders such as age, preop benzodiazepines, history of drug abuse, and history of stroke. Patients with delirium had imaging findings suggestive of acute ischemic changes of stroke ORadj 2.46 (CI 95%, 1.12 – 5.36, p‐value 0.02), while patients with new neurological deficit did not ORadj 1.66 (CI 95%, 0.62 – 4.41, p‐value 0.31). Conclusion Our findings suggest that delirium might be one of the manifestations associated with imaging changes indicating acute silent ischemic strokes. Delirium might be one of the manifestations postoperatively for delayed cerebral ischemia as noted on imaging, this highlights the importance of timely identification and management of patients with delirium.

Efficacy of haloperidol to decrease the burden of delirium in adult critically ill patients: the EuRIDICE randomized clinical trial

BackgroundThe role of haloperidol as treatment for ICU delirium and related symptoms remains controversial despite two recent large controlled trials evaluating its efficacy and safety. We sought to determine whether haloperidol when compared to placebo in critically ill adults with delirium reduces days with delirium and coma and improves delirium-related sequelae.MethodsThis multi-center double-blind, placebo-controlled randomized trial at eight mixed medical-surgical Dutch ICUs included critically ill adults with delirium (Intensive Care Delirium Screening Checklist ≥ 4 or a positive Confusion Assessment Method for the ICU) admitted between February 2018 and January 2020. Patients were randomized to intravenous haloperidol 2.5 mg or placebo every 8 h, titrated up to 5 mg every 8 h if delirium persisted until ICU discharge or up to 14 days. The primary outcome was ICU delirium- and coma-free days (DCFDs) within 14 days after randomization. Predefined secondary outcomes included the protocolized use of sedatives for agitation and related behaviors, patient-initiated extubation and invasive device removal, adverse drug associated events, mechanical ventilation, ICU length of stay, 28-day mortality, and long-term outcomes up to 1-year after randomization.ResultsThe trial was terminated prematurely for primary endpoint futility on DSMB advice after enrolment of 132 (65 haloperidol; 67 placebo) patients [mean age 64 (15) years, APACHE IV score 73.1 (33.9), male 68%]. Haloperidol did not increase DCFDs (adjusted RR 0.98 [95% CI 0.73–1.31], p = 0.87). Patients treated with haloperidol (vs. placebo) were less likely to receive benzodiazepines (adjusted OR 0.41 [95% CI 0.18–0.89], p = 0.02). Effect measures of other secondary outcomes related to agitation (use of open label haloperidol [OR 0.43 (95% CI 0.12–1.56)] and other antipsychotics [OR 0.63 (95% CI 0.29–1.32)], self-extubation or invasive device removal [OR 0.70 (95% CI 0.22–2.18)]) appeared consistently more favorable with haloperidol, but the confidence interval also included harm. Adverse drug events were not different. Long-term secondary outcomes (e.g., ICU recall and quality of life) warrant further study.ConclusionsHaloperidol does not reduce delirium in critically ill delirious adults. However, it may reduce rescue medication requirements and agitation-related events in delirious ICU patients warranting further evaluation.Trial registration: ClinicalTrials.gov (#NCT03628391), October 9, 2017.

THE PREVALENCE, RISK FACTORS, AND OUTCOMES OF DELIRIUM AMONGST ICU PATIENTS. A STUDY FROM THE LOCAL POPULATION OF PAKISTAN

Background: Patients admitted to intensive care units (ICUs) often experience delirium, which is associated with adverse outcomes including prolonged ICU stays, increased mortality rates, and elevated healthcare costs. Despite its significance, delirium in Pakistan remains understudied. Objectives: To assess the delirium prevalence, identify predisposing factors and precipitating events, determine predictors of delirium, and explore its impact on ICU length of stay and mortality. Study Design: The study utilized a prospective observational design. Setting: The study was conducted at Bahria International Hospital ICU in Lahore, Pakistan. Duration of Study: This study was conducted from September 2022 to March 2023.  Material and Methods: Utilizing the Intensive Care Delirium Screening Checklist (ICDSC), bedside nursing staff evaluated 140 patients twice daily. Data on predisposing factors, precipitating events, and clinical parameters were collected. Regression analysis was performed to identify predictors of delirium. Results: The study found a delirium prevalence of 29.2%, significantly affecting ICU length of stay. Regression analysis identified sepsis, metabolic acidosis, nasogastric tube use, and APACHE II score as independent predictors of delirium among ICU patients. Conclusion: Given the detrimental effects of delirium, implementing multidisciplinary preventive strategies targeting modifiable risk factors are recommended to improve patient outcomes.

Lumboperitoneal Shunt Surgery under Spinal Anesthesia on Idiopathic Normal Pressure Hydrocephalus Patients.

Since the publication of guidelines for managing idiopathic normal pressure hydrocephalus (iNPH) in 2004, an increasing number of patients with iNPH have been undergoing shunt surgery in Japan. However, shunt surgeries for iNPH can be challenging because the procedures are performed on elderly patients. General anesthesia-related risks, such as postoperative pneumonia or delirium, are higher in the elderly. To decrease these risks, we applied spinal anesthesia on a lumboperitoneal shunt (LPS). Herein, we analyzed our methods focusing on the postoperative outcomes. We retrospectively analyzed 79 patients who underwent LPS at our institution with more than one year of follow-up. The patients were divided into two groups based on the anesthetic approach, that is, 1) general anesthesia and 2) spinal anesthesia, and were examined in terms of postoperative complications, delirium, and postoperative hospital stay. In the general anesthesia group, two patients had respiratory complications after the surgery. The postoperative delirium score using the intensive care delirium screening checklist (ICDSC) was 0 (2) (median [interquartile range]), and the length of postoperative hospital stay was 11 (4) days. In the spinal anesthesia group, no patients had respiratory complications. The postoperative mean ICDSC was 0 (1), and the length of postoperative hospital stay was 10 (3) days. Although there was no significant difference regarding postoperative delirium existed, LPS under spinal anesthesia decreased respiratory complications and significantly shortened the postoperative hospital stay. LPS under spinal anesthesia could be an alternative to general anesthesia in elderly patients with iNPH and possibly lessen the general anesthesia-related risks.

Concurrence of seizures and peri-ictal delirium in the critically ill - its frequency, associated characteristics, and outcomes

BackgroundTo assess the frequency, clinical features, and outcome of peri-ictal delirium in adult patients experiencing seizures during intensive care.MethodsThis observational study was conducted at a Swiss intensive care unit from 2015 to 2020. Patients aged ≥ 18 years with seizures were categorized as peri-ictal delirious (Intensive Care Delirium Screening Checklist [i.e., ICDSC] ≥ 4) or not (i.e., ICDSC < 4) within 24 h of seizures. The frequency of peri-ictal delirium and in-hospital death were defined as the primary endpoints. Illness severity and treatment characteristics between delirious and non-delirious patients were secondary endpoints. Logistic regression was used to compare in-hospital death and differences regarding clinical characteristics between delirious and non-delirious patients.Results48% of 200 patients had peri-ictal delirium for a median of 3 days. Delirious patients were older (median age 69 vs. 62 years, p = 0.002), had lower Simplified Acute Physiology Scores II (SAPS II; median 43 vs. 54, p = 0.013), received neuroleptics more frequently (31 vs. 5%, p < 0.001), were mechanically ventilated less often (56% vs. 73%, p = 0.013) and shorter (median 3 vs. 5 days, p = 0.011), and had decreased odds for in-hospital death with delirium (OR = 0.41, 95% CI 0.20–0.84) in multivariable analyses.ConclusionsDelirium emerged in every second patient experiencing seizures and was associated with lower SAPS II, shorter mechanical ventilation, and better outcomes, contradicting assumptions that altered cerebral function, from seizures and delirium, are linked to unfavorable outcomes.

Prevalence and Risk Factors of Delirium in Patients Admitted to Intensive Care Units: A Multicentric Cross-Sectional Study.

Background Delirium is a common and serious complication among critically ill patients in the intensive care unit. Knowledge of the risk factors of delirium can help tremendously in the diagnosis of delirium. Methods In April of 2023, a cross-sectional multicenter study was conducted in eight intensive care units (ICUs) across Pakistan. Delirium was assessed using the intensive care delirium screening checklist. Demographic and clinical data were collected, and multivariable logistic regression analysis was performed to identify predictors of delirium. A total of 256 patients were enrolled in the study. Results The mean age of participants was 56 (S.D. 12) years. The point prevalence of delirium was 39%, and the point prevalence did not vary significantly among the participating intensive care units. Advanced age, higher Acute Physiology and Chronic Health Evaluation - IV (APACHE IV) scores, and higher Richmond Agitation-Sedation Scale (RASS) scores at enrollment were identified as significant predictors of delirium. Conclusion The high prevalence of delirium, observed at 39.0%, emphasizes the importance of proactive screening and effective management strategies in the ICU setting. Healthcare providers in Pakistan should be mindful of these risk factors and implement preventive measures to minimize the occurrence of delirium in critically ill patients. Further research and implementation of targeted interventions are warranted to improve patient outcomes and enhance the overall quality of care in this population.

Effects of Opioids, Steroids, Benzodiazepines, Anticholinergics, and Antihistamines on the Efficacy of Antipsychotics for Treating Delirium in End-of-Life Adult Patients Undergoing Palliative Care

The purpose of the study was to determine the effect of combination therapy involving opioids, steroids, benzodiazepines, anticholinergics, and antihistamines on antipsychotics efficacy for delirium. The study included adult inpatients receiving end-of-life palliative care and diagnosed with hyperactive delirium. Changes in delirium symptoms were assessed using the Intensive Care Delirium Screening Checklist (ICDSC). A retrospective analysis was conducted on 97 patients with ICDSC scores of ≥4, comparing the scores before and after antipsychotic administration. A mean score <4 sustained for 3 days after antipsychotics administration was considered effective. The mean days with ICDSC <4 within a 3-day period were evaluated as well. The efficacy of antipsychotics was compared between cases with and without the use of opioids, steroids, benzodiazepines, anticholinergics, and antihistamines. The results revealed no significant differences in the efficacy of antipsychotics for delirium when used in conjunction with opioids (odds ratio 0.614, 95% CI [0.179-2.105]), benzodiazepines (0.387, [0.108-1.390]), steroids (1.258, [0.276-5.746]), or anticholinergics (2.085, [0. 148-29.458]). Additionally, no significant differences were observed in the mean days with ICDSC <4 within 3-day period. Although opioids, benzodiazepines, steroids, anticholinergics, and antihistamines are recognized as delirium risk factors, their use for symptom relief in patients with delirium may not affect antipsychotic efficacy.

Potentials of Acetylcholinesterase and Butyrylcholinesterase Alterations in On-Pump Coronary Artery Bypass Surgery in Postoperative Delirium: An Observational Trial.

Cardiac surgery is regularly associated with postoperative delirium (POD), affected by neuro-inflammation and changes in cholinergic activity. Therefore, this prospective observational study aimed to evaluate whether pre- and perioperative changes in blood acetylcholinesterase (AChE) and butyrylcholinesterase (BChE) activity were associated with POD development in patients undergoing isolated elective coronary artery bypass graft (CABG) surgery. It included 93 patients. Pre- and postoperative blood AChE and BChE activities were measured with photometric rapid-point-of-care-testing. The Intensive Care Delirium Screening Checklist and the Confusion Assessment Method for the Intensive Care Unit were used to screen patients for POD. POD developed in 20 patients (21.5%), who were older (p = 0.003), had higher EuroSCOREs (p ≤ 0.001), and had longer intensive care unit stays (p < 0.001). On postoperative day one, BChE activity decreased from preoperative values more in patients with (31.9%) than without (23.7%) POD (group difference p = 0.002). Applying a cutoff of ≥32.0% for BChE activity changes, receiver operating characteristic analysis demonstrated a moderate prediction capability for POD (area under the curve = 0.72, p = 0.002). The risk of developing POD was 4.31 times higher with a BChE activity change of ≥32.0% (p = 0.010). Monitoring the pre- to postoperative reduction in BChE activity might be a clinically practicable biomarker for detecting patients at risk of developing POD after CABG surgery.

Delirium and delirium severity screening in the intensive care—correspondence of screenings tools

BackgroundDelirium severity scores are gaining acceptance for measuring delirium in the intensive care unit (ICU). ObjectiveThe aim of this study was to evaluate the concordance between the Confusion Assessment Method for the intensive care unit (CAM-ICU)-7 and the Intensive Care Delirium Screening Checklist (ICDSC) as delirium severity measurement tools. MethodsThis was a prospective, comparative, observational multicentre study. This study was conducted in 18 Danish ICUs. Delirium was assessed in adult critically ill patients admitted to an ICU with a Richmond Agitation and Sedation Score (RASS) of −2 or above. ICU nurses assessed delirium with randomised paired delirium screening instruments, using the CAM-ICU, the ICDSC, and the CAM-ICU-7. The correlation between the CAM-ICU-7 and the ICDSC severity scores was evaluated for all predefined patient subgroups. ResultsA total of 1126 paired screenings were conducted by 127 ICU nurses in 850 patients. The patients' median age was 70 years (interquartile range: 61–77), 40% (339/850) were female, and 54% (457/850) had at least one positive delirium score. Delirium severity ranges (CAM-ICU-7: 0–7; and ICDSC: 0–8) were positively correlated (Pearson's correlation coefficient, r = 0.83; p < 0.0001). The overall agreement between the CAM-ICU-7 and the ICDSC for delirium measurement (CAM-ICU-7: >2, and ICDSC: >3) was substantial (kappa = 0.74), but the agreement decreased to fair (kappa = 0.38) if a patient had a RASS less than 0. ConclusionsThe agreement between the CAM-ICU-7 and the ICDSC for delirium severity measurement was substantial but might be affected by the patient's sedation and agitation level at the time of assessment. Implications for practiceBoth CAM-ICU-7 and ICDSC can be implemented for delirium severity measurement. Attention is warranted in both scores if a patient has a RASS of −2.

Orexin receptor antagonists versus antipsychotics for the management of delirium in intensive care unit patients with cardiovascular disease: A retrospective observational study

ObjectiveAlthough antipsychotics are often used in the pharmacological treatment of delirium, recent reports suggest the efficacy of orexin receptor antagonists. This study investigated whether orexin receptor antagonists could be a possible treatment option for delirium. MethodA nonblinded nonrandomized routine clinical treatment was performed. Patients treated in intensive care units (ICU) for cardiovascular disease and receiving psychiatric intervention were studied retrospectively. The scores from the Intensive Care Delirium Screening Checklist (ICDSC) were compared between patients treated with orexin receptor antagonists and those treated with antipsychotics. ResultsThe mean (standard deviation) ICDSC scores were 4.5 (1.8) at day −1 and 2.6 (2.6) at day 7 for orexin receptor antagonist group (n = 25) and 4.6 (2.4) at day −1 and 4.1 (2.2) at day 7 for antipsychotic group (n = 28). The orexin receptor antagonist group showed significantly lower ICDSC scores than the antipsychotic group (p = 0.021). ConclusionWhile precise efficacy cannot be determined from our retrospective, observational, and uncontrolled pilot study, this analysis encourages a future double-blind randomized placebo-controlled trial of orexin-antagonists for delirium treatment.

Effects of an interactive handgrip game on surgical patients requiring intensive care: An assessor-blinded randomized controlled trial

ObjectiveTo explore the effect of an interactive handgrip game on psychological distress and handgrip strength among critically ill surgical patients. DesignA randomised controlled trial. SettingA surgical intensive care unit. InterventionParticipants were enrolled in the program within 48 hours of admission to the intensive care unit. Patients in the intervention group played a 20-minute interactive handgrip game twice daily for a maximum of three days in the intensive care unit in addition to routinely passive physical rehabilitation. Patients in the routine care group had a daily target of 20 min of passive physical rehabilitation as needed. MeasurementThe primary outcomes included depression, anxiety, and stress measured using the shortened version of the Depression Anxiety Stress Score scale. The secondary outcomes were perceived sleep evaluated using the Richards–Campbell Sleep Questionnaire, delirium assessed using the Intensive Care Delirium Screening Checklist, and handgrip strength measured using handgrip dynamometry within a handgrip device. ResultsTwo hundred and twenty-seven patients were eligible and 70 patients were recruited in the intervention (n = 35) and routine care groups (n = 35). The patients in the intervention group had lower scores (median = 6.0, 4.0, and 12.0) for depression, anxiety, and stress compared with those in the routine care group (12.0, 12.0, and 20.0; all p < 0.05). The interactive handgrip game did not significantly improve sleep quality and prevent the occurrence of delirium (both p > 0.05). The patients who received the interactive handgrip game intervention exhibited significantly enhanced handgrip strength in both hands over time (both p < 0.001). ConclusionAn interactive handgrip game may benefit the psychological well-being and handgrip strength of critically ill patients. Implications for Clinical PracticeInteractive handgrip games is effective active exercise which should be integrated into routine nursing practice.

Incidence Rate and Factors Associated with Delirium and Subsyndromal Delirium in Patients with COVID-19 in an Intensive Care Unit.

Delirium subsyndrome (SSD) and delirium (DL) are known complications in the intensive care unit (ICU) and are associated with worse clinical outcomes. The aim of this study was to screen for SSD and DL in individuals with COVID-19 admitted to the ICU and to study the associated factors and clinical outcomes. An observational, longitudinal study was conducted in the reference ICU for COVID-19. All admitted individuals with COVID-19 were screened for SSD and DL during their ICU stay using the Intensive Care Delirium Screening Checklist (ICDSC). Individuals with SSD and/or DL were compared to those without SSD and/or DL. Ninety-three patients were evaluated, of which 46.7% had SSD and/or DL. The incidence rate was 4.17 cases/100 person-days. Individuals with SSD and/or DL had higher severity of illness on admission to the ICU, as measured by the APACHE II score (median 16 versus 8 points, p < 0.001). SSD and/or DL were associated with longer ICU and hospital stays (median 19 versus 6 days, p < 0.001 and median 22 versus 7 days, p < 0.001, respectively). Individuals with SSD and/or DL had greater disease severity and longer ICU and hospital stays when compared to those without SSD and/or DL. This reinforces the importance of screening for consciousness disorders in the ICU.