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Ageing Research Reviews Jun 2024Delirium is a common condition across different settings and populations. The interventions for preventing and managing this condition are still poorly known. The aim of... (Review)
Review
Delirium is a common condition across different settings and populations. The interventions for preventing and managing this condition are still poorly known. The aim of this umbrella review is to synthesize and grade all preventative and therapeutic interventions for delirium. We searched five databases from database inception up to March 15th, 2023 and we included meta-analyses of randomized controlled trials (RCTs) to decrease the risk of/the severity of delirium. From 1959 records after deduplication, we included 59 systematic reviews with meta-analyses, providing 110 meta-analytic estimates across populations, interventions, outcomes, settings, and age groups (485 unique RCTs, 172,045 participants). In surgery setting, for preventing delirium, high GRADE evidence supported dexmedetomidine (RR=0.53; 95%CI: 0.46-0.67, k=13, N=3988) and comprehensive geriatric assessment (OR=0.46; 95%CI=0.32-0.67, k=3, N=496) in older adults, dexmedetomidine in adults (RR=0.33, 95%CI=0.24-0.45, k=7, N=1974), A2-adrenergic agonists after induction of anesthesia (OR= 0.28, 95%CI= 0.19-0.40, k=10, N=669) in children. High certainty evidence did not support melatonergic agents in older adults for delirium prevention. Moderate certainty supported the effect of dexmedetomidine in adults and children (k=4), various non-pharmacological interventions in adults and older people (k=4), second-generation antipsychotics in adults and mixed age groups (k=3), EEG-guided anesthesia in adults (k=2), mixed pharmacological interventions (k=1), five other specific pharmacological interventions in children (k=1 each). In conclusion, our work indicates that effective treatments to prevent delirium differ across populations, settings, and age groups. Results inform future guidelines to prevent or treat delirium, accounting for safety and costs of interventions. More research is needed in non-surgical settings.
Topics: Humans; Delirium; Dexmedetomidine; Randomized Controlled Trials as Topic
PubMed: 38677599
DOI: 10.1016/j.arr.2024.102313 -
EBioMedicine Feb 2024To understand delirium heterogeneity, prior work relied on psychomotor symptoms or risk factors to identify subtypes. Data-driven approaches have used machine learning...
BACKGROUND
To understand delirium heterogeneity, prior work relied on psychomotor symptoms or risk factors to identify subtypes. Data-driven approaches have used machine learning to identify biologically plausible, treatment-responsive subtypes of other acute illnesses but have not been used to examine delirium.
METHODS
We conducted a secondary analysis of a large, multicenter prospective cohort study involving adults in medical or surgical ICUs with respiratory failure or shock who experienced delirium per the Confusion Assessment Method for the ICU. We used data collected before delirium diagnosis in an unsupervised latent class model to identify delirium subtypes and then compared demographics, clinical characteristics, and outcomes between subtypes in the final model.
FINDINGS
The 731 patients who developed delirium during critical illness had a median age of 63 [IQR, 54-72] years, a median Sequential Organ Failure Assessment score of 8.0 [6.0-11.0] and 613 [83.4%] were mechanically ventilated at delirium identification. A four-class model best fit the data with 50% of patients in subtype (ST) 1, 18% in subtype 2, 17% in subtype 3, and 14% in subtype 4. Subtype 2-which had more shock and kidney impairment-had the highest mortality (33% [ST2] vs. 17% [ST1], 25% [ST3], and 17% [ST4], p = 0.003). Subtype 4-which received more benzodiazepines and opioids-had the longest duration of delirium (6 days [ST4] vs. 3 [ST1], 4 [ST2], and 3 days [ST3], p < 0.001) and coma (4 days [ST4] vs. 2 [ST1], 1 [ST2], and 2 days [ST3], p < 0.001). Each of the four data-derived delirium subtypes was observed within previously identified psychomotor and risk factor-based delirium subtypes. Clinically significant cognitive impairment affected all subtypes at follow-up, but its severity did not differ by subtype (3-month, p = 0.26; 12-month, p = 0.80).
INTERPRETATION
The four data-derived delirium subtypes identified in this study should now be validated in independent cohorts, examined for differential treatment effects in trials, and inform mechanistic work evaluating treatment targets.
FUNDING
National Institutes of Health (T32HL007820, R01AG027472).
Topics: Adult; Humans; Middle Aged; Aged; Delirium; Prospective Studies; Critical Illness; Interleukin-1 Receptor-Like 1 Protein; Cognitive Dysfunction
PubMed: 38169220
DOI: 10.1016/j.ebiom.2023.104942 -
British Journal of Anaesthesia Aug 2017Delirium commonly manifests in the postoperative period as a clinical syndrome resulting from acute brain dysfunction or encephalopathy. Delirium is characterized by...
Delirium commonly manifests in the postoperative period as a clinical syndrome resulting from acute brain dysfunction or encephalopathy. Delirium is characterized by acute and often fluctuating changes in attention and cognition. Emergence delirium typically presents and resolves within minutes to hours after termination of general anaesthesia. Postoperative delirium hours to days after an invasive procedure can herald poor outcomes. Easily recognized when patients are hyperactive or agitated, delirium often evades diagnosis as it most frequently presents with hypoactivity and somnolence. EEG offers objective measurements to complement clinical assessment of this complex fluctuating disorder. Although EEG features of delirium in the postoperative period remain incompletely characterized, a shift of EEG power into low frequencies is a typical finding shared among encephalopathies that manifest with delirium. In aggregate, existing data suggest that serial or continuous EEG in the postoperative period facilitates monitoring of delirium development and severity and assists in detecting epileptic aetiologies. Future studies are needed to clarify the precise EEG features that can reliably predict or diagnose delirium in the postoperative period, and to provide mechanistic insights into this pathologically diverse neurological disorder.
Topics: Delirium; Electroencephalography; Humans; Postoperative Complications
PubMed: 28854540
DOI: 10.1093/bja/aew475 -
Annals of Surgery Jun 2023This study aims to identify blood biomarkers of postoperative delirium.
OBJECTIVE
This study aims to identify blood biomarkers of postoperative delirium.
BACKGROUND
Phosphorylated tau at threonine 217 (Tau-PT217) and 181 (Tau-PT181) are new Alzheimer disease biomarkers. Postoperative delirium is associated with Alzheimer disease. We assessed associations between Tau-PT217 or Tau-PT181 and postoperative delirium.
METHODS
Of 491 patients (65 years old or older) who had a knee replacement, hip replacement, or laminectomy, 139 participants were eligible and included in the analysis. Presence and severity of postoperative delirium were assessed in the patients. Preoperative plasma concentrations of Tau-PT217 and Tau-PT181 were determined by a newly established Nanoneedle technology.
RESULTS
Of 139 participants (73±6 years old, 55% female), 18 (13%) developed postoperative delirium. Participants who developed postoperative delirium had higher preoperative plasma concentrations of Tau-PT217 and Tau-PT181 than participants who did not. Preoperative plasma concentrations of Tau-PT217 or Tau-PT181 were independently associated with postoperative delirium after adjusting for age, education, and preoperative Mini-Mental State score [odds ratio (OR) per unit change in the biomarker: 2.05, 95% confidence interval (CI):1.61-2.62, P <0.001 for Tau-PT217; and OR: 4.12; 95% CI: 2.55--6.67, P <0.001 for Tau-PT181]. The areas under the receiver operating curve for predicting delirium were 0.969 (Tau-PT217) and 0.885 (Tau-PT181). The preoperative plasma concentrations of Tau-PT217 or Tau-PT181 were also associated with delirium severity [beta coefficient (β) per unit change in the biomarker: 0.14; 95% CI: 0.09-0.19, P <0.001 for Tau-PT217; and β: 0.41; 95% CI: 0.12-0.70, P =0.006 for Tau-PT181).
CONCLUSIONS
Preoperative plasma concentrations of Tau-PT217 and Tau-PT181 were associated with postoperative delirium, with Tau-PT217 being a stronger indicator of postoperative delirium than Tau-PT181.
Topics: Humans; Female; Aged; Male; Emergence Delirium; Delirium; Alzheimer Disease; Postoperative Complications; Biomarkers
PubMed: 35794069
DOI: 10.1097/SLA.0000000000005487 -
The Journal of the American Osteopathic... Jan 2017Advances have been made in our understanding of the neuropathogenesis, recognition, and strategies for reducing the incidence of delirium in acute-care settings.... (Review)
Review
Advances have been made in our understanding of the neuropathogenesis, recognition, and strategies for reducing the incidence of delirium in acute-care settings. However, relatively little attention has been given to delirium in elderly patients in the postacute care (PAC) and long-term care (LTC) settings. The present article reviews the most relevant current research pertaining to this population. Hospital patients with delirium are often discharged to PAC settings. Delirium that develops in the LTC setting is often more insidious and subtle in presentation. Despite incorporating systematic screening tools for delirium in PAC and LTC settings, delirium prevention strategies have not yet been shown to be beneficial beyond the acute-care setting. The management of delirium combined with dementia and guidance on when it is appropriate to use antipsychotic medications is also discussed.
Topics: Aged; Delirium; Humans; Long-Term Care; Subacute Care
PubMed: 28055085
DOI: 10.7556/jaoa.2017.005 -
Intensive & Critical Care Nursing Dec 2023Nurses hold a key position in identifying symptoms and initiating preventive strategies for cognitive impairment in delirious and non-delirious intensive care unit...
OBJECTIVES
Nurses hold a key position in identifying symptoms and initiating preventive strategies for cognitive impairment in delirious and non-delirious intensive care unit patients. However, it remains unclear whether nurses consider cognitive impairment as a distinct concern from delirium. By understanding nurses' perspectives, we may identify barriers and facilitators in caring for patients with cognitive challenges in the intensive care unit. The objective of this study was to explore nurses' experiences of cognitive problems in patients admitted to an intensive care unit.
RESEARCH METHODOLOGY
A phenomenological-hermeneutic study of interviews with ten nurses from intensive care units. Data were collected in March-April 2022 and analysed using a Ricœur-inspired method of interpretation.
FINDINGS
Three themes related to nurses' experiences of cognitive problems emerged through analysis; 1) Cognitive problems and delirium are seen as two sides of the same coin, 2) Searching for the person behind the patient, and 3) Maintaining a sense of normality in a confusing environment.
CONCLUSIONS
The interconnected concept of cognitive impairment and delirium syndrome meant that nurses assessed and managed cognitive problems in intensive care unit patients by focusing on preventing delirium. Apart from delirium screening, nurses relied on relatives' knowledge to assess patients' cognition. Most significantly, our study revealed a previously unexplored approach by nurses to manage patients' cognition, which involved "shielding" patients from the noisy and disruptive intensive care unit environment.
IMPLICATIONS FOR CLINICAL PRACTICE
Effective communication methods, coupled with family involvement may aid nurses in identifying patients' cognitive problems. In the acute phase of critical illness, distinguishing between delirium and cognitive problems may not be clinically relevant, as delirium protocols may protect patients' cognition. Further investigating the concept of shielding may reveal previously unexplored nursing approaches to manage cognitive problems.
Topics: Humans; Delirium; Qualitative Research; Intensive Care Units; Cognition; Nurses
PubMed: 37541066
DOI: 10.1016/j.iccn.2023.103508 -
CNS Neuroscience & Therapeutics Oct 2023Machine learning-based identification of key variables and prediction of postoperative delirium in patients with extensive burns.
AIMS
Machine learning-based identification of key variables and prediction of postoperative delirium in patients with extensive burns.
METHODS
Five hundred and eighteen patients with extensive burns who underwent surgery were included and randomly divided into a training set, a validation set, and a testing set. Multifactorial logistic regression analysis was used to screen for significant variables. Nine prediction models were constructed in the training and validation sets (80% of dataset). The testing set (20% of dataset) was used to further evaluate the model. The area under the receiver operating curve (AUROC) was used to compare model performance. SHapley Additive exPlanations (SHAP) was used to interpret the best one and to externally validate it in another large tertiary hospital.
RESULTS
Seven variables were used in the development of nine prediction models: physical restraint, diabetes, sex, preoperative hemoglobin, acute physiological and chronic health assessment, time in the Burn Intensive Care Unit and total body surface area. Random Forest (RF) outperformed the other eight models in terms of predictive performance (ROC:84.00%) When external validation was performed, RF performed well (accuracy: 77.12%, sensitivity: 67.74% and specificity: 80.46%).
CONCLUSION
The first machine learning-based delirium prediction model for patients with extensive burns was successfully developed and validated. High-risk patients for delirium can be effectively identified and targeted interventions can be made to reduce the incidence of delirium.
Topics: Humans; Intensive Care Units; Machine Learning; Random Forest; Delirium
PubMed: 37122154
DOI: 10.1111/cns.14237 -
Journal of Psychosomatic Research Apr 2022To describe the risk of postoperative delirium and long-term psychopathology (depression, anxiety or post-traumatic stress syndrome (PTSS)) in older adults.
OBJECTIVE
To describe the risk of postoperative delirium and long-term psychopathology (depression, anxiety or post-traumatic stress syndrome (PTSS)) in older adults.
METHODS
255 elderly patients (≥ 65 years) undergoing major surgery (planned surgical time > 60 min) in a tertiary hospital were compared to 76 non-surgical controls from general practice. Patients were assessed twice daily for postoperative delirium using the Confusion Assessment Method (CAM(-ICU)), nursing delirium screening scale (NuDESC) and validated chart review. Before surgery and 3 and 12 months thereafter, the participants filled in the Hospital Anxiety and Depression Scale (HADS), the Geriatric Depression Scale (GDS-15) and the Post-Traumatic Stress Syndrome-14-Questions Inventory (PTSS-14). Non-surgical controls filled in the same questionnaires with similar follow-up.
RESULTS
Patients were more often male, had higher American Society of Anesthesiologists scores and more often had a spouse compared to controls (p < 0.005). Forty-three patients (18%) developed postoperative delirium, who were significantly older, had higher ASA scores and lower estimated IQ scores compared to the patients who did not develop delirium (p < 0.05). There were no differences in psychopathology at baseline and 3-month follow-up between patients and controls. At 12-months, surgical patients less frequently scored positive for depression (7% versus 16%) and anxiety (2% versus 10%) compared to nonsurgical controls (p < 0.05). We did not observe differences in occurrence of psychopathology between patients who had and had not developed postoperative delirium.
CONCLUSION
Our results suggest that the older surgical population, with or without postoperative delirium, does not appear to be at greater risk of developing psychopathology. WHY DOES THIS PAPER MATTER?: The older surgical population does not appear to be at greater risk of developing psychopathology, neither seems this risk influenced by the occurrence of postoperative delirium.
Topics: Aged; Anxiety; Delirium; Humans; Male; Postoperative Complications; Risk Factors; Stress Disorders, Post-Traumatic
PubMed: 35158180
DOI: 10.1016/j.jpsychores.2022.110746 -
PloS One 2022The purpose of this study was to identify the types and contents of non-pharmacological delirium prevention interventions applied to inpatients in general wards, and to... (Meta-Analysis)
Meta-Analysis
The purpose of this study was to identify the types and contents of non-pharmacological delirium prevention interventions applied to inpatients in general wards, and to verified the effectiveness of the interventions on the incidence of delirium. We performed an extensive search of bibliographic databases and registries (CENTRAL, MEDLINE, EMBASE, CINAHL, ClinicalTrials.gov and WHO International Clinical Trials Registry Platform, PubMed and Google Scholar, and Korean DB such as RISS, DBpia, KISS, NDSL and KCI) using terms to identify delirium, prevention, and non-pharmacological. We searched all databases from their inception to January 2021 and imposed restriction on language of publication in English and Korean. We included studies if they were conducted as all types of randomized controlled trials (RCT), involving adult patients aged 19 years or more who were admitted to a general ward. We included trials comparing non-pharmacological intervention versus usual care. The entire process of data selection and extraction, assessment of risk of bias with ROB2.O was independently performed by three researchers. The estimated effect size was an odds ratio (OR) and 95% confidence interval. The fixed effects model and general inverse variance estimation method were adopted. The type of non-pharmacological delirium prevention interventions for inpatients in general ward was mainly multi-component intervention to correct delirium risk factors. The content and intensity of non-pharmacological interventions varied greatly depending on the characteristics of the patient and the clinical situation. As a result of the meta-analysis, non-pharmacological multi-component intervention was effective in reducing the incidence of delirium, and it was confirmed that it was effective in reducing the incidence of delirium in both the internal and surgical wards. It was confirmed by quantitative evidence that non-pharmacological interventions, especially multi-component interventions, were effective in preventing delirium in general ward inpatients.
Topics: Adult; Delirium; Hospitalization; Humans; Inpatients; Patients' Rooms; Randomized Controlled Trials as Topic
PubMed: 35522654
DOI: 10.1371/journal.pone.0268024 -
Archives of Gerontology and Geriatrics 2021Older adults are indisputably struck hard by the coronavirus disease 2019 (COVID-19) pandemic. The main objective of this meta-analysis is to establish the association... (Meta-Analysis)
Meta-Analysis
INTRODUCTION
Older adults are indisputably struck hard by the coronavirus disease 2019 (COVID-19) pandemic. The main objective of this meta-analysis is to establish the association between delirium and mortality in older adults with COVID-19.
METHODS
Systematic literature searches of PubMed, Embase, and Scopus databases were performed up until 28 November 2020. The exposure in this study was the diagnosis of delirium using clinically validated criteria. Delirium might be in-hospital, at admission, or both. The main outcome was mortality defined as clinically validated non-survivor/death. The effect estimates were reported as odds ratios (ORs) and adjusted odds ratios (aORs).
RESULTS
A total of 3,868 patients from 9 studies were included in this systematic review and meta-analysis. The percentage of patients with delirium was 27% [20%, 34%]. Every 1 mg/L increase in CRP was significantly associated with 1% increased delirium risk (OR 1.01 [1.00. 1.02], p=0.033). Delirium was associated with mortality (OR 2.39 [1.64, 3.49], p<0.001; I: 82.88%). Subgroup analysis on delirium assessed at admission indicate independent association (OR 2.12 [1.39, 3.25], p<0.001; I: 82.67%). Pooled adjusted analysis indicated that delirium was independently associated with mortality (aOR 1.50 [1.16, 1.94], p=0.002; I: 31.02%). Subgroup analysis on delirium assessed at admission indicate independent association (OR 1.40 [1.03, 1.90], p=0.030; I: 35.19%). Meta-regression indicates that the association between delirium and mortality were not significantly influenced by study-level variations in age, sex [reference: male], hypertension, diabetes, and dementia.
CONCLUSION
The presence of delirium is associated with increased risk of mortality in hospitalized older adults with COVID-19.
Topics: Aged; COVID-19; Delirium; Humans; Hypertension; Male; Pandemics; SARS-CoV-2
PubMed: 33713880
DOI: 10.1016/j.archger.2021.104388