ArticleAnnals of intensive care2018
The 2014 updated version of the Confusion Assessment Method for the Intensive Care Unit compared to the 5th version of the Diagnostic and Statistical Manual of Mental Disorders and other current methods used by intensivists.
Article in Annals of intensive care, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT04498585 (Virtual Reality Stimulation to Relax and Reduce the Incidence of Delirium), which is not on this map. Cited by 32 papers, 2 of them syntheses that pooled it.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Virtual Reality Stimulation to Relax and Reduce the Incidence of Delirium
Who cites it
32 citing papers in PubMed, 2 syntheses or guidelines pooled it.
- Melatonin and delirium in the intensive care units: a systematic review and meta-analysis of randomized controlled trials.Intensive care medicine · 2025Pooled it
- Confusion Assessment Method for the Intensive Care Unit (CAM-ICU) for the diagnosis of delirium in adults in critical care settings.The Cochrane database of systematic reviews · 2023Pooled it
- Dexmedetomidine for treatment of hyperactive delirium in non-intubated ICU patients: the 4D randomized clinical trial.Intensive care medicine · 2025Trial
- The Effects of Opioid-Free Anesthesia with Dexmedetomidine and Esketamine on Postoperative Anesthetic-Related Complications for Hip Surgery in the Elderly.International journal of general medicine · 2024Trial
- Critical care delirium: prevention, identification and management: a narrative review.Anaesthesia · 2026Review
- Validation of the confusion assessment method for intensive care.Open medicine (Warsaw, Poland) · 2026Article
- Delirium Related to Sedation: Prevention Strategies and Patient Perspectives.Intensive care medicine · 2025Article
- Article
- Development and Validation of a Machine Learning Model for Early Prediction of Delirium in Intensive Care Units Using Continuous Physiological Data: Retrospective Study.Journal of medical Internet research · 2025Article
- Sepsis-Associated Brain Dysfunction: Mechanisms, Clinical Insights, and Therapeutic Strategies.Current drug targets · 2025Review
- Top Ten Tips Palliative Care Clinicians Should Know About the Psychiatric Manifestations of Nonpsychiatric Serious Illness and Treatments.Journal of palliative medicine · 2024Article
- Reliability and Validity of Hindi Version of the Confusion Assessment Method for Intensive Care Unit (CAM-ICU) for Diagnosis of Delirium: A Cohort Study.Indian journal of critical care medicine : peer-reviewed, official publication of Indian Society of Critical Care Medicine · 2024Article
- Impact of Delirium Onset and Duration on Mortality in Patients With Cancer Admitted to the ICU.Journal of intensive care medicine · 2024Article
- Strategies to prevent postoperative delirium: a comprehensive evaluation of anesthesia selection and drug intervention.Frontiers in psychiatry · 2024Review
- Functional independence, frailty and perceived quality of life in patients who developed delirium during ICU stay: a prospective cohort study.European journal of medical research · 2023Observational
- Virtual and augmented reality in critical care medicine: the patient's, clinician's, and researcher's perspective.Critical care (London, England) · 2022Review
- A machine learning approach to identifying delirium from electronic health records.JAMIA open · 2022Article
- Practices in sedation, analgesia, mobilization, delirium, and sleep deprivation in adult intensive care units (SAMDS-ICU): an international survey before and during the COVID-19 pandemic.Annals of intensive care · 2022Article
- DSCAM Deficiency Leads to Premature Spine Maturation and Autism-like Behaviors.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2022Article
- The Thai version of the nursing delirium screening scale-Thai: Adaptation and validation study in postoperative patients.Frontiers in medicine · 2022Article
Corrections and comments
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Authors and funding
12 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundOne third of patients admitted to an intensive care unit (ICU) will develop delirium. However, delirium is under-recognized by bedside clinicians without the use of delirium screening tools, such as the Intensive Care Delirium Screening Checklist (ICDSC) or the Confusion Assessment Method for the ICU (CAM-ICU). The CAM-ICU was updated in 2014 to improve its use by clinicians throughout the world. It has never been validated compared to the new reference standard, the Diagnostic and Statistical Manual of Mental Disorders 5th version (DSM-5).
methodsWe made a prospective psychometric study in a 16-bed medical-surgical ICU of a French academic hospital, to measure the diagnostic performance of the 2014 updated CAM-ICU compared to the DSM-5 as the reference standard. We included consecutive adult patients with a Richmond Agitation Sedation Scale (RASS) ≥ -3, without preexisting cognitive disorders, psychosis or cerebral injury. Delirium was independently assessed by neuropsychological experts using an operationalized approach to DSM-5, by investigators using the CAM-ICU and the ICDSC, by bedside clinicians and by ICU patients. The sensitivity, specificity, positive and negative predictive values were calculated considering neuropsychologist DSM-5 assessments as the reference standard (primary endpoint). CAM-ICU inter-observer agreement, as well as that between delirium diagnosis methods and the reference standard, was summarized using κ coefficients, which were subsequently compared using the Z-test.
resultsDelirium was diagnosed by experts in 38% of the 108 patients included for analysis. The CAM-ICU had a sensitivity of 83%, a specificity of 100%, a positive predictive value of 100% and a negative predictive value of 91%. Compared to the reference standard, the CAM-ICU had a significantly (p < 0.05) higher agreement (κ = 0.86 ± 0.05) than the physicians,' residents' and nurses' diagnoses (κ = 0.65 ± 0.09; 0.63 ± 0.09; 0.61 ± 0.09, respectively), as well as the patient's own impression of feeling delirious (κ = 0.02 ± 0.11). Differences between the ICDSC (κ = 0.69 ± 0.07) and CAM-ICU were not significant (p = 0.054). The CAM-ICU demonstrated a high reliability for inter-observer agreement (κ = 0.87 ± 0.06).
conclusionsThe 2014 updated version of the CAM-ICU is valid according to DSM-5 criteria and reliable regarding inter-observer agreement in a research setting. Delirium remains under-recognized by bedside clinicians.
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