[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"health-studies-list:{\"conditionNormalized\":\"delirium-confusional-state\",\"overallStatus\":[\"RECRUITING\",\"AVAILABLE\",\"NOT_YET_RECRUITING\"],\"orderBy\":\"LastUpdateSubmitDate:desc\",\"size\":25,\"offset\":0}":3,"health-study-condition:delirium-confusional-state":25},{"pageToken":4,"total":5,"offset":6,"count":5,"results":7},null,8,0,[8,38,64,95,118,144,184,210],{"id":9,"slug":10,"hasResults":11,"nctId":12,"briefTitle":13,"officialTitle":13,"acronym":4,"eligibilityCriteria":14,"healthyVolunteers":11,"sex":15,"minAge":16,"maxAge":4,"enrollmentInfo":17,"targetDuration":4,"studyType":20,"phases":21,"briefSummary":23,"conditions":24,"keywords":4,"overallStatus":26,"whyStopped":4,"lastUpdateSubmitDate":27,"lastUpdatePostDateStruct":28,"startDateStruct":31,"completionDateStruct":33,"leadSponsor":35,"locationsCount":4},"100641006","effects-of-different-types-of-music-therapy-combined-with-mindful-breathing-on-delirium-pain-and-anxiety-in-icu-patients-100641006",false,"NCT07624097","Effects of Different Types of Music Therapy Combined With Mindful Breathing on Delirium, Pain, and Anxiety in ICU Patients","Inclusion Criteria:\n\n* Adults aged 20 years or older who can communicate verbally or in writing\n* Able to receive music therapy\n* Pain score \\> 2 within the past 24 hours\n* Delirium prediction model risk \\> 20%\n\nExclusion Criteria:\n\n* Positive delirium screening at ICU admission\n* Significant hearing impairment\n* Inability to cooperate with wearing over-the-ear headphones","ALL","20 Years",{"count":18,"type":19},51,"ESTIMATED","INTERVENTIONAL",[22],"NA","Delirium is the most common and severe neuropsychiatric complication in the Intensive Care Unit (ICU), with an incidence as high as 87% in the United States, 75.6% in medical ICUs in Taiwan, and 41.7% in surgical ICUs, with patients developing delirium an average of 2.6 days after admission. Delirium is associated with prolonged mechanical ventilation, increased complications, higher in-hospital mortality, greater psychological burden on family members, and elevated clinical pressure on healthcare staff. The National Institute for Health and Care Excellence (NICE) guidelines recommend prioritizing non-pharmacological interventions for delirium prevention, among which music intervention has emerged as one of the most promising strategies due to its low risk, low cost, and feasibility in the ICU setting. Although several international studies have supported its potential benefits, evidence remains inconclusive. Mindfulness-based approaches represent another non-pharmacological strategy that intentionally directs attention to present-moment bodily sensations; mindful breathing exercises are particularly suitable for ICU patients, as they only require patients to adopt a comfortable position in bed and focus on each inhalation and exhalation under guidance, quickly restoring awareness to present bodily experience. Incorporating mindful breathing before and after music listening may therefore facilitate emotional regulation and present-moment awareness, enhancing patient engagement and attentional focus during the intervention. Existing delirium prevention studies in Taiwan have predominantly employed multicomponent care bundles, leaving a gap in empirical evidence regarding music as a standalone intervention. Moreover, scholars have highlighted that musical preference and cultural background influence patients' psychological responses to music, underscoring the importance of cultural appropriateness. In response to this gap, the present study proposes a music intervention combining classical music and Taiwan-localized music with mindful breathing exercises, aiming to examine the effects on ICU delirium incidence and severity, compare the effectiveness of classical versus Taiwan-localized music, and explore the potential benefits on patient anxiety and pain, with the hope of providing a culturally informed, evidence-based music repertoire to guide clinical practice in Taiwan.",[25],"Delirium Confusional State","NOT_YET_RECRUITING","2026-05-31",{"date":29,"type":30},"2026-06-03","ACTUAL",{"date":32,"type":19},"2026-06-01",{"date":34,"type":19},"2027-04-09",{"name":36,"class":37},"Chimei Medical Center","OTHER",{"id":39,"slug":40,"hasResults":11,"nctId":41,"briefTitle":42,"officialTitle":42,"acronym":4,"eligibilityCriteria":43,"healthyVolunteers":11,"sex":15,"minAge":44,"maxAge":4,"enrollmentInfo":45,"targetDuration":4,"studyType":20,"phases":47,"briefSummary":49,"conditions":50,"keywords":4,"overallStatus":26,"whyStopped":4,"lastUpdateSubmitDate":54,"lastUpdatePostDateStruct":55,"startDateStruct":57,"completionDateStruct":59,"leadSponsor":61,"locationsCount":63},"100635115","phase-3-phenobarbital-for-agitated-delirium-100635115","NCT07548489","Phenobarbital for Agitated Delirium","Inclusion Criteria:\n\n* Adult Patients identified by providers to have agitated or hyperactive delirium\n\nExclusion Criteria:\n\n* Pregnancy\n* Incarceration\n* Severe liver disease\n* Allergy or prior adverse reaction to phenobarbital or antipsychotic drugs (depending on the month of therapy initiation)","21 Years",{"count":46,"type":19},150,[48],"PHASE3","The goal of this clinical trial is to test whether the medication phenobarbital is as effective for treating agitated delirium among adult patients admitted to the intensive care unit. Agitated delirium is a condition involving confusion and impulsiveness which is dangerous to both patients and healthcare providers.\n\nThe main questions this trial aims to answer include:\n\n* Can phenobarbital decrease the amount of time patients with agitated delirium spend in the intensive care unit and the hospital?\n* Does phenobarbital decrease the amount of additional calming medications patients with agitated delirium need?\n\nResearchers in this study will compare phenobarbital to other medications commonly used to treat agitated delirium.\n\nParticipants will be monitored closely to make sure they remain safe and to measure how well their agitation and confusion are managed while they are in the ICU.",[51,25,52,53],"Agitated Delirium","Delirium in the Intensive Care Unit","Hyperactive Delirium","2026-04-17",{"date":56,"type":30},"2026-04-23",{"date":58,"type":19},"2026-06",{"date":60,"type":19},"2027-07",{"name":62,"class":37},"Duke University",1,{"id":65,"slug":66,"hasResults":11,"nctId":67,"briefTitle":68,"officialTitle":69,"acronym":4,"eligibilityCriteria":70,"healthyVolunteers":71,"sex":15,"minAge":72,"maxAge":4,"enrollmentInfo":73,"targetDuration":4,"studyType":20,"phases":75,"briefSummary":76,"conditions":77,"keywords":83,"overallStatus":85,"whyStopped":4,"lastUpdateSubmitDate":86,"lastUpdatePostDateStruct":87,"startDateStruct":89,"completionDateStruct":91,"leadSponsor":93,"locationsCount":63},"100634680","using-virtual-reality-to-improve-medical-training-100634680","NCT07542834","Using Virtual Reality to Improve Medical Training","Enhancing Osteopathic Medical Education Through Cinematic Virtual Reality","Inclusion Criteria: able to read and speak English, are age 18 years and older, and are a medical student enrolled at the Ohio University Heritage College of Osteopathic Medicine enrolled in the 2025-2026 academic year.\n\n\\-\n\nExclusion Criteria: unable to read and speak English, 17 years or younger, and are not a medical student enrolled at the Ohio University Heritage College of Osteopathic Medicine enrolled in the 2025-2026 academic year.\n\n\\-",true,"18 Years",{"count":74,"type":19},100,[22],"As the U.S. population ages, future physicians must be prepared to care for older adults with multiple health conditions and complex needs. This study will test whether cinematic virtual reality (VR)-an immersive, interactive learning tool-is more effective than traditional lectures in helping medical students learn about geriatric care. Students who complete the VR training will experience realistic patient scenarios that show what can go wrong in medical care and learn how to apply osteopathic principles to improve outcomes. Researchers will compare students' performance on a clinical skills assessment and explore their experiences with the VR training. The goal is to determine whether cinematic virtual reality can better prepare students for residency and improve their ability to provide compassionate, high-quality care for older adults.",[78,79,80,81,82,25],"Type 2 Diabetes (T2DM)","Geriatric Syndromes","Disability Hearing","Disability Physical","Urinary Tract Infection(UTI)",[84],"virtual reality, type 2 diabetes, geriatric syndromes, disability, elder abuse and neglect","RECRUITING","2026-04-14",{"date":88,"type":30},"2026-04-21",{"date":90,"type":19},"2026-04-15",{"date":92,"type":19},"2027-06-30",{"name":94,"class":37},"Ohio University",{"id":96,"slug":97,"hasResults":11,"nctId":98,"briefTitle":99,"officialTitle":100,"acronym":101,"eligibilityCriteria":102,"healthyVolunteers":11,"sex":15,"minAge":72,"maxAge":4,"enrollmentInfo":103,"targetDuration":4,"studyType":20,"phases":105,"briefSummary":107,"conditions":108,"keywords":4,"overallStatus":26,"whyStopped":4,"lastUpdateSubmitDate":109,"lastUpdatePostDateStruct":110,"startDateStruct":112,"completionDateStruct":114,"leadSponsor":116,"locationsCount":4},"100625903","phase-4-lorazepam-for-delirium-prevention-in-critically-ill-patients-with-high-anttila-index-100625903","NCT07428681","Lorazepam for Delirium Prevention in Critically Ill Patients With High Anttila-Index","Preventive Administration of Lorazepam in Critically Ill Patients With High Anttila-Index to Reduce the Incidence of Intensive Care Delirium: a Single-centre, Randomized, Controlled Clinical Trial - the Basel LOC2DEL-Trial","LOC2DEL","Inclusion Criteria:\n\n* Emergency\u002Funplanned admission to the ICU\n* Age ≥ 18 years\n* ICU stay ≤ 24 hours until first study intervention\n* Hospital admission ≤ 24 hours before ICU admission\n* Anttila-Index ≥ 4\n\nExclusion Criteria:\n\n* Pre-existing delirium\n* Admission diagnosis that requires the administration of benzodiazepines (e.g. epileptic seizure)\n* Pre-existing therapy with benzodiazepines\n* Women: Pregnancy or breastfeeding\n* Sequelae of acute intoxication (drugs or alcohol) at time of inclusion\n* Hypersensitivity, allergy, or other absolute contraindication to lorazepam\n* Participation in another study with investigational drug within the 30 days preceding and during the present study",{"count":104,"type":19},260,[106],"PHASE4","Delirium is a neuropsychiatric syndrome characterized by cognitive and attentional deficits, circadian rhythm, emotional and psychomotor dysregulation.\n\nIt is frequently encountered in patients admitted to an Intensive Care Unit (ICU) with a prevalence of 20-80% and associated with higher morbidity and mortality, prolonged hospitalization and cognitive impairment after hospitalization.\n\nAlcoholism is an important risk factor that favors the development of delirium and a common comorbidity in patients admitted to the ICU.\n\nPatients with alcohol use disorders can develop a withdrawal syndrome after cessation of alcohol consumption. The most severe form of alcohol withdrawal is the alcohol withdrawal delirium, which is characterized by a profound state of confusion. Early recognition and treatment significantly diminish severe complications of alcohol withdrawal delirium, including mortality.\n\nThe common pharmacological prevention and therapy of alcohol withdrawal syndrome is the administration of benzodiazepines, which have the potential to prevent or mitigate alcohol withdrawal delirium.\n\nIn the ICU setting the diagnosis of alcoholism based on self-report can be unreliable and complicated by acute illness.\n\nThe Anttila-Index is a parameter calculated from the carbohydrate-deficient transferrin and the gamma-glutamyltransferase. It has a high sensitivity and specificity for excessive alcohol consumption. Therefore, the Anttila-Index of patients admitted to the ICU could help identify patients at risk for developing delirium due to alcoholism or due to alcoholism in combination with other risk factors.\n\nSchreiber et al. recently (October 2023) found significantly higher Anttila-Index in patients with delirium on a medical ICU. The investigators postulate that this also applies to the patients admitted to the mixed (medical and surgical) ICU at the University Hospital Basel (USB), since surgery is an additional crucial risk factor for delirium development.\n\nHypothesis: ICU delirium can be reduced by careful preventive administration of lorazepam in patients admitted to the ICU with an Anttila-Index at or above the cutoff value of four.",[25],"2026-02-24",{"date":111,"type":30},"2026-02-27",{"date":113,"type":19},"2027-03",{"date":115,"type":19},"2029-02",{"name":117,"class":37},"University Hospital, Basel, Switzerland",{"id":119,"slug":120,"hasResults":11,"nctId":121,"briefTitle":122,"officialTitle":123,"acronym":4,"eligibilityCriteria":124,"healthyVolunteers":71,"sex":15,"minAge":125,"maxAge":4,"enrollmentInfo":126,"targetDuration":4,"studyType":127,"phases":4,"briefSummary":128,"conditions":129,"keywords":131,"overallStatus":26,"whyStopped":4,"lastUpdateSubmitDate":135,"lastUpdatePostDateStruct":136,"startDateStruct":138,"completionDateStruct":140,"leadSponsor":142,"locationsCount":63},"100616217","delirium-and-heart-failure-100616217","NCT07302737","Delirium and Heart Failure","Accuracy of Different Biomarkers for Predicting Delirium in Older Adults With Heart Failure","Inclusion Criteria:\n\nHeart failure stage C\n\nExclusion Criteria:\n\n1. cognitive impairment\n2. Major Neurological Conditions: (e.g., stroke, traumatic brain injury).\n3. Hematological diseases that affect platelet, neutrophil, and lymphocyte counts.\n4. Cardiogenic Shock\n5. Sepsis\n6. Ongoing Treatment with Immunosuppressants, or corticosteroids","60 Years",{"count":74,"type":19},"OBSERVATIONAL","Biomarkers such as Systemic Immune-Inflammation Index (SII) and TG\u002FGlucose Ratio (TyG) have shown promise in predicting delirium, reflecting the roles of inflammation and metabolic disturbances in its pathophysiology. This study aims to compare the predictive value of SII and the TyG ratio among other chemical and physiological biomarkers for diagnosing delirium and detecting its severity in older adults with heart failure. These biomarkers reflect different pathophysiological pathways implicated in delirium, including inflammation, cardiovascular stress, and metabolic dysfunction. By evaluating their individual and combined predictive abilities, this research seeks to identify potential tools for early identification of patients at high risk for delirium",[130,25],"Heart Failure",[132,133,134],"Heart failure","delirium","older adults","2025-12-23",{"date":137,"type":30},"2025-12-24",{"date":139,"type":19},"2026-01-20",{"date":141,"type":19},"2026-08-01",{"name":143,"class":37},"Ain Shams University",{"id":145,"slug":146,"hasResults":11,"nctId":147,"briefTitle":148,"officialTitle":149,"acronym":150,"eligibilityCriteria":151,"healthyVolunteers":11,"sex":15,"minAge":72,"maxAge":4,"enrollmentInfo":152,"targetDuration":4,"studyType":20,"phases":154,"briefSummary":157,"conditions":158,"keywords":165,"overallStatus":26,"whyStopped":4,"lastUpdateSubmitDate":175,"lastUpdatePostDateStruct":176,"startDateStruct":178,"completionDateStruct":180,"leadSponsor":182,"locationsCount":63},"100615474","phase-1-point-of-care-ai-assistance-and-critical-care-outcomes-a-randomized-trial-100615474","NCT07293078","Point-of-Care AI Assistance and Critical Care Outcomes: A Randomized Trial","Prospective Evaluation of a Point-of-Care Artificial Intelligence Model in Critical Care Outcomes","POC-AI-ICU","Inclusion Criteria:\n\n1. Adult patients (≥ 18 years) admitted to the medical intensive care unit (MICU) at participating hospitals.\n2. Direct admissions from the emergency department or transfers from medical wards to the MICU.\n3. Critically ill patients meeting local ICU admission criteria.\n\nExclusion Criteria:\n\n1. Transfers to the MICU from outside hospitals, operating room, or post-anesthesia care unit.\n2. Age \\\u003C 18 years.\n3. Incomplete or missing essential clinical information at admission (e.g., key labs or documentation not yet available).\n4. Primary surgical or cardiac (e.g., STEMI) patients.\n5. Pregnant or postpartum women.\n6. Prisoners.",{"count":153,"type":19},1000,[155,156],"PHASE1","PHASE2","This is a prospective, unmasked, randomized, multicenter clinical trial evaluating the impact of point-of-care large language model (LLM)-based decision support on diagnostic accuracy and clinical outcomes in adult medical intensive care unit (MICU) patients.\n\nConsecutive adult ICU admissions at participating community hospitals (initially MetroWest Medical Center and St. Vincent Hospital) will be screened for eligibility. Eligible patients will be randomized 1:1 to standard care or an AI-assisted group. In both arms, initial evaluation and management will follow usual practice. For patients randomized to AI assistance, de-identified admission data (history and physical, labs, imaging reports, and other relevant documentation) will be formatted and submitted to a state-of-the-art LLM (ChatGPT-5) at the time of admission. The AI-generated differential diagnosis and therapeutic recommendations will be provided to the admitting team for consideration. For the standard care arm, LLM output will be generated but not shared with clinicians.\n\nAfter discharge, a masked chart review will determine the \"ground truth\" primary diagnosis and extract outcomes including: Primary Outcome - a composite of medical errors (from time of ICU admission through day 7 of ICU stay, or ICU discharge, whichever comes first); Secondary Outcomes - 90-day mortality, ICU and hospital length of stay, and ventilator-free days.",[159,160,161,162,163,25,164],"Critical Illness","Sepsis","Acute Respiratory Failure (ARF)","Multi-organ Failure","Acute Kidney Injury","Shock",[166,167,168,169,170,171,172,160,164,173,174],"Critical Care","Intensive Care Unit","Large Language Model","Artificial Intelligence","Diagnostic Accuracy","Clinical Decision Support","Critical Care Outcomes","Acute Respiratory Failure","Multiorgan Failure","2025-12-15",{"date":177,"type":30},"2025-12-18",{"date":179,"type":19},"2026-01-01",{"date":181,"type":19},"2029-06-30",{"name":183,"class":37},"MetroWest Artificial Intelligence Research Workgroup",{"id":185,"slug":186,"hasResults":11,"nctId":187,"briefTitle":188,"officialTitle":188,"acronym":4,"eligibilityCriteria":189,"healthyVolunteers":11,"sex":15,"minAge":125,"maxAge":190,"enrollmentInfo":191,"targetDuration":4,"studyType":20,"phases":193,"briefSummary":194,"conditions":195,"keywords":4,"overallStatus":85,"whyStopped":4,"lastUpdateSubmitDate":200,"lastUpdatePostDateStruct":201,"startDateStruct":203,"completionDateStruct":205,"leadSponsor":207,"locationsCount":209},"100610030","clinical-trial-protocol-alzheimers-dementia-underlying-encephalopathy-100610030","NCT07222280","Clinical Trial Protocol: Alzheimer's Dementia Underlying Encephalopathy","Inclusion Criteria:\n\n* Ages 60 to 90 years old\n* No prior diagnosis of dementia\n* Currently hospitalized with cognitive diagnosis, including but no limited to; delirium, encephalopathy, etc. thought to be secondary to a toxic\u002Fmetabolic state\n\nExclusion Criteria:\n\n* Age under 60 years\n* Prior diagnosis of dementing illness or other organic etiology to cognitive impairment","90 Years",{"count":192,"type":19},30,[22],"The goal of this clinical trial is to determine if utilizing the Quest AD-Detect blood test, while patient's are hospitalized for a cognitive diagnosis (such as delirium or encephalopathy), will result in an earlier diagnosis of underlying Alzheimer's disease.\n\n* Will this blood test have the ability to distinguish between Alzheimer's disease and other causes of cognitive impairment in the inpatient setting?\n* Neurology Clinic will complete a 6-month post-hospitalization follow up with patients who have had the Quest AD-Detect Alzheimer's Disease blood test completed while they were inpatient to discuss the risk assessment portfolio",[196,197,25,198,199],"Alzheimer Dementia","Alzheimer Disease","Encephalopathy","Cognitive Abnormality","2025-10-27",{"date":202,"type":30},"2025-10-29",{"date":204,"type":30},"2025-06-10",{"date":206,"type":19},"2026-03-31",{"name":208,"class":37},"Covenant Health, US",6,{"id":211,"slug":212,"hasResults":11,"nctId":213,"briefTitle":214,"officialTitle":215,"acronym":216,"eligibilityCriteria":217,"healthyVolunteers":71,"sex":15,"minAge":218,"maxAge":219,"enrollmentInfo":220,"targetDuration":4,"studyType":20,"phases":222,"briefSummary":223,"conditions":224,"keywords":227,"overallStatus":26,"whyStopped":4,"lastUpdateSubmitDate":233,"lastUpdatePostDateStruct":234,"startDateStruct":236,"completionDateStruct":238,"leadSponsor":240,"locationsCount":63},"100578330","management-of-non-pharmacologic-delirium-with-the-use-of-a-nursing-led-e-health-project-a-randonmized-controlled-trial-100578330","NCT06809894","Management of Non-pharmacologic Delirium With the Use of a Nursing-led E-health Project: a Randonmized Controlled Trial","Improvement of the Delirium Management in Adult Patients Hospitalized Through the Use of Non-pharmacological Interventions","Delirium","Inclusion criteria:\n\n* Age over 80 years\n* Three risk factor to develop delirium, for example: sex (men), polypharmacy,urinary tract infections (UTIs) or strictures.\n* Admission in geriatric unit.\n* Have social support\n\nExclusion criteria:\n\n* Age under 80 years\n* Eseeable death on admission not caused by delirium or delirium diagnosis on admission.","80 Years","130 Years",{"count":221,"type":19},65,[22],"Application of an action protocol focused on the application of non-pharmacological interventions for managing delirium in the process of prevention, diagnosis and treatment, evaluated using an e-health intervention, with a tablet to introduce on it the data about the prevention, diagnostic and treatment process of each recluted patient, in the Igualada Hospital Center, once a day.",[225,25,226],"Delirium Treatment","Delirium in Old Age",[216,228,229,230,231,232],"SCA","CAM","Older pacient","non-pharmacologic treatment","nurse","2025-05-22",{"date":235,"type":30},"2025-05-29",{"date":237,"type":19},"2026-04-01",{"date":239,"type":19},"2027-06-15",{"name":241,"class":37},"Universitat de Lleida"]