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BMC Psychiatry Dec 2022Delirium is a severe neuropsychiatric condition that occurs frequently in all medical settings. It has been associated to serious consequences like higher mortality,...
BACKGROUND
Delirium is a severe neuropsychiatric condition that occurs frequently in all medical settings. It has been associated to serious consequences like higher mortality, institutionalization, and longer hospital stays. Delirium is missed in emergency rooms in 57% to 83% of patients, despite its frequent incidence and detrimental repercussions.
OBJECTIVES
The purpose of this study was to determine the prevalence and contributing causes of delirium in patients who visited the emergency room at Jimma Medical Center in Jimma, southwest Ethiopia, in 2022.
METHODS
From August 1 through September 30, 2022, a cross-sectional study was undertaken at a hospital. The study enrolled 422 participants, who were chosen through a systematic random sampling. The Richmond Agitation Sedation Scale (RASS) was used to evaluate different subtypes of delirium and level of arousal. The Confusion Assessment Method (CAM) was used to determine the presence or absence of delirium. Epi Data V3.1 was used to enter the data, and Version 20 of the Statistical Package for Social Scientists was used to export it (SPSS V20). Bivariate and multivariable logistic regressions were performed to identify the related factors. Variables with a p-value of less than 0.05 were considered to be significant.
RESULT
26.6% of participants (n = 107) were found to have delirium. Alcohol use (AOR = 3.6, 95% CI (2.5-8.1), visual impairment (AOR = 2.34, 95% CI (1.89-3.68), frequent admission (AOR = 3.47, 95% CI (1.24-7.34), bladder catheterization (AOR = 1.4, 95% CI (1.21-2.89), and benzodiazepine exposure (AOR = 1.5, 95% CI (1.01-2.3) had a significant association with delirium.
CONCLUSION
According to this study, delirium was very common among patients in the emergency room. Benzodiazepine exposure, numerous admissions, visual impairment, current alcohol consumption, bladder catheterization, and frequent admissions all significantly increased the risk of delirium. To address identifiable causes and enhance patients' health outcomes, early recognition is crucial.
Topics: Humans; Cross-Sectional Studies; Ethiopia; Hospitals; Emergency Service, Hospital; Benzodiazepines; Vision Disorders; Delirium
PubMed: 36461033
DOI: 10.1186/s12888-022-04408-x -
Anesthesiology Clinics Sep 2015Postoperative delirium, a common complication in older surgical patients, is independently associated with increased morbidity and mortality. Patients older than... (Review)
Review
Postoperative delirium, a common complication in older surgical patients, is independently associated with increased morbidity and mortality. Patients older than 65 years receive greater than one-third of the more than 40 million anesthetics delivered yearly in the United States. This number is expected to increase with the aging of the population. Thus, it is increasingly important that perioperative clinicians who care for geriatric patients have an understanding of the complex syndrome of postoperative delirium.
Topics: Aged; Aged, 80 and over; Delirium; Geriatrics; Humans; Patients; Postoperative Complications
PubMed: 26315635
DOI: 10.1016/j.anclin.2015.05.007 -
Brain and Behavior Feb 2024Postoperative delirium is prevalent in older adults and has been shown to increase the risk of long-term cognitive decline. Plasma biomarkers to identify the risk for...
BACKGROUND
Postoperative delirium is prevalent in older adults and has been shown to increase the risk of long-term cognitive decline. Plasma biomarkers to identify the risk for postoperative delirium and the risk of Alzheimer's disease and related dementias are needed.
METHODS
This biomarker discovery case-control study aimed to identify plasma biomarkers associated with postoperative delirium. Patients aged ≥65 years undergoing major elective noncardiac surgery were recruited. The preoperative plasma proteome was interrogated with SOMAmer-based technology targeting 1433 biomarkers.
RESULTS
In 40 patients (20 with vs. 20 without postoperative delirium), a preoperative panel of 12 biomarkers discriminated patients with postoperative delirium with an accuracy of 97.5%. The final model of five biomarkers delivered a leave-one-out cross-validation accuracy of 80%. Represented biological pathways included lysosomal and immune response functions.
CONCLUSION
In older patients who have undergone major surgery, plasma SOMAmer proteomics may provide a relatively non-invasive benchmark to identify biomarkers associated with postoperative delirium.
Topics: Humans; Aged; Emergence Delirium; Delirium; Postoperative Complications; Case-Control Studies; Proteomics; Biomarkers
PubMed: 38346717
DOI: 10.1002/brb3.3422 -
Journal of the American Geriatrics... Jan 2023Post-surgical delirium is associated with increased morbidity, lasting cognitive decline, and loss of functional independence. Within a conceptual framework that...
BACKGROUND
Post-surgical delirium is associated with increased morbidity, lasting cognitive decline, and loss of functional independence. Within a conceptual framework that delirium is triggered by stressors when vulnerabilities exist in cerebral connectivity and plasticity, we previously suggested that neurophysiologic measures might identify individuals at risk for post-surgical delirium. Here we demonstrate the feasibility of the approach and provide preliminary experimental evidence of the predictive value of such neurophysiologic measures for the risk of delirium in older persons undergoing elective surgery.
METHODS
Electroencephalography (EEG) and transcranial magnetic stimulation (TMS) were collected from 23 patients prior to elective surgery. Resting-state EEG spectral power ratio (SPR) served as a measure of integrity of neural circuits. TMS-EEG metrics of plasticity (TMS-plasticity) were used as indicators of brain capacity to respond to stressors. Presence or absence of delirium was assessed using the confusion assessment method (CAM). We included individuals with no baseline clinically relevant cognitive impairment (MoCA scores ≥21) in order to focus on subclinical neurophysiological measures.
RESULTS
In patients with no baseline cognitive impairment (N = 20, age = 72 ± 6), 3 developed post-surgical delirium (MoCA = 24 ± 2.6) and 17 did not (controls; MoCA = 25 ± 2.4). Patients who developed delirium had pre-surgical resting-state EEG power ratios outside the 95% confidence interval of controls, and 2/3 had TMS-plasticity measures outside the 95% CI of controls.
CONCLUSIONS
Consistent with our proposed conceptual framework, this pilot study suggests that non-invasive and scalable neurophysiologic measures can identify individuals at risk of post-operative delirium. Specifically, abnormalities in resting-state EEG spectral power or TMS-plasticity may indicate sub-clinical risk for post-surgery delirium. Extension and confirmation of these findings in a larger sample is needed to assess the clinical utility of the proposed neurophysiologic markers, and to identify specific connectivity and plasticity targets for therapeutic interventions that might minimize the risk of delirium.
Topics: Humans; Aged; Aged, 80 and over; Emergence Delirium; Delirium; Pilot Projects; Cognitive Dysfunction; Elective Surgical Procedures; Electroencephalography; Transcranial Magnetic Stimulation
PubMed: 36226896
DOI: 10.1111/jgs.18072 -
BMC Geriatrics May 2021The National Institute for Health and Care Excellence recommends documenting all delirium episodes in the discharge summary using the term "delirium". Previous studies...
BACKGROUND
The National Institute for Health and Care Excellence recommends documenting all delirium episodes in the discharge summary using the term "delirium". Previous studies demonstrate poor delirium documentation rates in discharge summaries and no studies have assessed delirium documentation quality. The aim of this study was to determine the frequency and quality of delirium documentation in discharge summaries and explore differences between medical and surgical services.
METHODS
This was a multi-center retrospective chart review. We included 110 patients aged ≥ 65 years identified to have delirium during their hospitalization using the Chart-based Delirium Identification Instrument (CHART-DEL). We assessed the frequency of any delirium documentation in discharge summaries, and more specifically, for the term "delirium". We evaluated the quality of delirium discharge documentation using the Joint Commission on Accreditation of Healthcare Organization's framework for quality discharge summaries. Comparisons were made between medical and surgical services. Secondary outcomes included assessing factors influencing the frequency of "delirium" being documented in the discharge summary.
RESULTS
We identified 110 patients with sufficient chart documentation to identify delirium and 80.9 % of patients had delirium documented in their discharge summary ("delirium" or other acceptable term). The specific term "delirium" was reported in 63.6 % of all delirious patients and more often by surgical than medical specialties (76.5 % vs. 52.5 %, p = 0.02). Documentation quality was significantly lower by surgical specialties in reporting delirium as a diagnosis (23.5 % vs. 57.6 %, p < 0.001), documenting delirium workup (23.4 % vs. 57.6 %, p = 0.001), etiology (43.3 % vs. 70.4 %, p = 0.03), treatment (36.7 % vs. 66.7 %, p = 0.02), medication changes (44.4 % vs. 100 %, p = 0.002) and follow-up (36.4 % vs. 88.2 %, p = 0.01).
CONCLUSIONS
The frequency of delirium documentation is higher than previously reported but remains subpar. Medical services document delirium with higher quality, but surgical specialties document the term "delirium" more frequently. The documentation of delirium in discharge summaries must improve to meet quality standards.
Topics: Delirium; Documentation; Hospitalization; Humans; Patient Discharge; Retrospective Studies
PubMed: 33980170
DOI: 10.1186/s12877-021-02245-3 -
The Clinical Respiratory Journal May 2023Delirium 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...
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.
Topics: Humans; Delirium; Inpatients; Iran; Cross-Sectional Studies; COVID-19; Intensive Care Units
PubMed: 37054699
DOI: 10.1111/crj.13609 -
Psychosomatics 2019We sought to determine how delirium subtyped by arousal affected 6-month function and cognition in acutely ill older patients.
OBJECTIVE
We sought to determine how delirium subtyped by arousal affected 6-month function and cognition in acutely ill older patients.
METHODS
This was secondary analysis of a prospective cohort study which enrolled hospitalized patients ≥65 years old. Delirium and arousal were ascertained daily in the emergency department and the first 7 days of hospitalization using the modified Brief Confusion Assessment Method and Richmond Agitation Sedation Scale, respectively. For each day, patients were categorized as having no delirium, delirium with normal arousal, delirium with decreased arousal, or delirium with increased arousal. Preillness and 6-month functional status were determined using the Older American Resources and Services activities of daily living scale which ranges from 0 (completely dependent) to 28 (completely independent). Preillness and 6-month cognition were determined using the Informant Questionnaire on Cognitive Decline in the Elderly which ranges from 1 (markedly improved cognition) to 5 (severe cognitive impairment). Multiple linear regression was performed adjusted for preillness Older American Resources and Services activities of daily living and Informant Questionnaire on Cognitive Decline in the Elderly and other relevant confounders.
RESULTS
In 228 older patients, delirium with normal arousal was the only subtype independently associated with poorer 6-month function and cognition. For every day spent in this subtype, the 6-month Older American Resources and Services activities of daily living decreased by 0.84 points (95% confidence interval: -1.59 to -0.09) and the patient's 6-month Informant Questionnaire on Cognitive Decline in the Elderly significantly increased by 0.14 points (95% confidence interval: 0.06-0.23).
CONCLUSIONS
Delirium with normal arousal, as opposed to delirium with decreased or increased arousal, was the only arousal subtype significantly associated with worsening 6-month function and cognition. Subtyping delirium by arousal may have important prognostic value.
Topics: Activities of Daily Living; Aged; Aged, 80 and over; Arousal; Cognition; Cognitive Dysfunction; Cohort Studies; Delirium; Emergency Service, Hospital; Female; Follow-Up Studies; Hospitalization; Humans; Linear Models; Male; Prognosis; Prospective Studies; Psychomotor Agitation
PubMed: 29929733
DOI: 10.1016/j.psym.2018.05.003 -
The Journals of Gerontology. Series A,... Mar 2022Delirium is underdiagnosed in clinical practice and is not routinely coded for billing. Manual chart review can be used to identify the occurrence of delirium; however,...
BACKGROUND
Delirium is underdiagnosed in clinical practice and is not routinely coded for billing. Manual chart review can be used to identify the occurrence of delirium; however, it is labor-intensive and impractical for large-scale studies. Natural language processing (NLP) has the capability to process raw text in electronic health records (EHRs) and determine the meaning of the information. We developed and validated NLP algorithms to automatically identify the occurrence of delirium from EHRs.
METHODS
This study used a randomly selected cohort from the population-based Mayo Clinic Biobank (N = 300, age ≥65). We adopted the standardized evidence-based framework confusion assessment method (CAM) to develop and evaluate NLP algorithms to identify the occurrence of delirium using clinical notes in EHRs. Two NLP algorithms were developed based on CAM criteria: one based on the original CAM (NLP-CAM; delirium vs no delirium) and another based on our modified CAM (NLP-mCAM; definite, possible, and no delirium). The sensitivity, specificity, and accuracy were used for concordance in delirium status between NLP algorithms and manual chart review as the gold standard. The prevalence of delirium cases was examined using International Classification of Diseases, 9th Revision (ICD-9), NLP-CAM, and NLP-mCAM.
RESULTS
NLP-CAM demonstrated a sensitivity, specificity, and accuracy of 0.919, 1.000, and 0.967, respectively. NLP-mCAM demonstrated sensitivity, specificity, and accuracy of 0.827, 0.913, and 0.827, respectively. The prevalence analysis of delirium showed that the NLP-CAM algorithm identified 12 651 (9.4%) delirium patients, the NLP-mCAM algorithm identified 20 611 (15.3%) definite delirium cases, and 10 762 (8.0%) possible cases.
CONCLUSIONS
NLP algorithms based on the standardized evidence-based CAM framework demonstrated high performance in delineating delirium status in an expeditious and cost-effective manner.
Topics: Aged; Algorithms; Delirium; Electronic Health Records; Humans; International Classification of Diseases; Natural Language Processing
PubMed: 35239951
DOI: 10.1093/gerona/glaa275 -
Systematic Reviews Sep 2023Delirium commonly occurs in hospitalized adults. Psychiatric disorders such as anxiety, depression, and post-traumatic stress disorder (PTSD) can co-occur with delirium,...
BACKGROUND
Delirium commonly occurs in hospitalized adults. Psychiatric disorders such as anxiety, depression, and post-traumatic stress disorder (PTSD) can co-occur with delirium, and can be recognized and managed by clinicians using recommendations found in methodological guiding statements called Clinical Practice Guidelines (CPGs). The specific aims of this review were to: [1] synthesize CPG recommendations for the diagnosis and management of anxiety, depression, and PTSD in adults with delirium in acute care; and [2] identify recent published literature in addition to those identified and reported in a 2017 review on delirium CPG recommendations and quality.
METHODS
MEDLINE, EMBASE, CINAHL, PsycINFO, and 21 sites on the Canadian Agency for Drugs and Technologies listed in the Health Grey Matters Lite tool were searched from inception to February 12, 2021. Selected CPGs focused on delirium in acute care, were endorsed by an international scientific society or governmental organization, and contained at least one recommendation for the diagnosis or management of delirium. Two reviewers independently extracted data in duplicate and independently assessed CPG quality using the AGREE-II tool. Narrative synthesis of CPG recommendations was conducted.
RESULTS
Title and abstract screening was completed on 7611 records. Full-text review was performed on 197 CPGs. The final review included 27 CPGs of which 7 (26%) provided recommendations for anxiety (4/7, 57%), depression (5/7, 71%), and PTSD (1/7, 14%) in delirium. Twenty CPGs provided recommendations for delirium only (e.g., assess patient regularly, avoid use of benzodiazepines). Recommendations for the diagnosis of psychiatric disorders with delirium included using evidence-based diagnostic criteria and standardized screening tools. Recommendations for the management of psychiatric disorders with delirium included pharmacological (e.g., anxiolytics, antidepressants) and non-pharmacological interventions (e.g., promoting patient orientation using clocks). Guideline quality varied: the lowest was Applicability (mean = 36%); the highest Clarity of Presentation (mean = 76%).
CONCLUSIONS
There are few available evidence-based CPGs to facilitate appropriate diagnosis and management of anxiety, depression, and PTSD in patients with delirium in acute care. Future guideline developers should incorporate evidence-based recommendations on the diagnosis and management of these psychiatric disorders in delirium.
SYSTEMATIC REVIEW REGISTRATION
Registration number: PROSPERO (CRD42021237056).
Topics: Humans; Adult; Depression; Canada; Anxiety Disorders; Anxiety; Delirium
PubMed: 37749654
DOI: 10.1186/s13643-023-02339-6 -
Journal of Pain and Symptom Management Aug 2014Delirium is a condition of acute onset and fluctuating course in which a person's level of consciousness and cognition become disturbed. Delirium is a common and... (Review)
Review
Delirium is a condition of acute onset and fluctuating course in which a person's level of consciousness and cognition become disturbed. Delirium is a common and distressing phenomenon in end-of-life care, yet it is underrecognized and undertreated. In this article, we review qualitative descriptions of the delirium experience in end-of-life care, found through a systematic search of academic databases, to generate insight into the intersubjective nature of the delirium experience. Our analysis of retrieved studies advances an understanding of the relational ethical dimensions of this phenomenon, that is, how delirium is lived by patients, families, and health care providers and how it affects the relationships and values at stake. We propose three themes that explain the distressing nature of delirium in palliative care: 1) experiences of relational tension; 2) challenges in recognizing the delirious person; and 3) struggles to interpret the meaning of delirious behaviors. By approaching end-of-life delirium from a perspective of relational ethics, attention is focused on the implications for the therapeutic relationship with patients and families when delirium becomes part of the dying trajectory.
Topics: Caregivers; Delirium; Family; Humans; Palliative Care; Terminal Care
PubMed: 24417807
DOI: 10.1016/j.jpainsymman.2013.08.015