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908 results for “delirium”
Restrictive Use of Restraints and Delirium Duration in ICU
ClinicalTrials.gov study NCT04273360. IPD Sharing: YES. Countries: 1. Publications: 1.
Relationship Between Preoperative Anxiety, Postoperative Pain, and Emergence Delirium in Pediatric Surgery
ClinicalTrials.gov study NCT07343388. IPD Sharing: UNDECIDED. Countries: 1. Publications: 1.
Electroencephalographic Biomarker to Predict Postoperative Delirium
ClinicalTrials.gov study NCT05992506. IPD Sharing: UNDECIDED. Countries: 1. Publications: 3.
Preventing Post-Operative Delirium in Patients Undergoing a Pneumonectomy, Esophagectomy or Thoracotomy
ClinicalTrials.gov study NCT02213900. IPD Sharing: Not stated. Countries: 1. Publications: 1.
Efficacy and Safety of Suvorexant (MK-4305) for Reducing Incidence of Delirium in Japanese Participants at High Risk of Delirium (MK-4305-085)
ClinicalTrials.gov study NCT04571944. IPD Sharing: YES. Countries: 1. Publications: 1.
Use of Dexmedetomidine to Reduce Emergence Delirium Incident in Children
ClinicalTrials.gov study NCT00857727. IPD Sharing: Not stated. Countries: 1. Publications: 5.
Dexmedetomidine (Precedex®) for Severe Alcohol Withdrawal Syndrome (AWS) and Alcohol Withdrawal Delirium (AWD)
ClinicalTrials.gov study NCT01362205. IPD Sharing: NO. Countries: 1. Publications: 4.
Assessing the Incidence of Postoperative Delirium Following Aortic Valve Replacement
ClinicalTrials.gov study NCT03950440. IPD Sharing: NO. Countries: 1. Publications: 1.
Flumazenil for Hypoactive Delirium Secondary to Benzodiazepine Exposure
ClinicalTrials.gov study NCT02899156. IPD Sharing: NO. Countries: 1. Publications: 30.
Prevention of Delirium in Inpatients Utilizing Melatonin
ClinicalTrials.gov study NCT02654314. IPD Sharing: Not stated. Countries: 1. Publications: 7.
Descriptive statistics for: Applying a transformer architecture to intraoperative temporal dynamics improves the prediction of postoperative delirium
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Development and validation of a postoperative delirium prediction model for patients admitted to an intensive care unit in China: a prospective study
<p>Objectives: We aimed to develop <span class="il">and</span> validate <span class="il">a</span> <span class="il">postoperative</span> <span class="il">delirium</span> (POD) <span class="il">prediction</span> model for patients admitted to the intensive care unit (ICU).</p> <p>Design: <span class="il">A</span> prospective study was conducted.</p> <p>Setting: The study was conducted in the surgical, cardiovascular surgical, <span class="il">and</span> trauma surgical ICUs <span class="il">of</span> an affiliated hospital <span class="il">of</span> <span class="il">a</span> medical university in Heilongjiang Province, China.</p> <p>Participants: This study included 400 patients (≥18 years old) admitted to the ICU after surgery.</p> <p>Primary <span class="il">and</span> secondary outcome measures: The primary outcome measure was <span class="il">postoperative</span> <span class="il">delirium</span> assessment during ICU stay.</p> <p>Results: The model was developed using 300 consecutive ICU patients <span class="il">and</span> was validated using 100 patients from the same ICUs. The model was based on five risk factors: Physiological <span class="il">and</span> Operative Severity Score for the Enumeration <span class="il">of</span> Mortality <span class="il">and</span> Morbidity; acid-base disturbance; <span class="il">and</span> history <span class="il">of</span> coma, diabetes, or hypertension. The model had an area under the receiver operating characteristics curve <span class="il">of</span> 0.852 (95% confidence interval: 0.802–0.902), Youden index <span class="il">of</span> 0.5789, sensitivity <span class="il">of</span> 70.73%, <span class="il">and</span> specificity <span class="il">of</span> 87.16%. The Hosmer-Lemeshow goodness <span class="il">of</span> fit was 5.203 (P = 0.736). At <span class="il">a</span> cut-off <span class="il">of</span> 24.5%, the sensitivity <span class="il">and</span> specificity were 71% <span class="il">and</span> 69%, respectively.</p> <p>Conclusions: The model, which used readily available data, exhibited high predictive value regarding risk <span class="il">of</span> intensive care unit <span class="il">postoperative</span> <span class="il">delirium</span> (ICU-POD) at admission. Use <span class="il">of</span> this model may facilitate better implementation <span class="il">of</span> preventive treatments <span class="il">and</span> nursing measures.</p>
Data from: Economic evaluation of a general hospital unit for older people with delirium and dementia (TEAM randomised controlled trial)
Background: One in three hospital acute medical admissions is of an older person with cognitive impairment. Their outcomes are poor and the quality of their care in hospital has been criticised. A specialist unit to care for older people with delirium and dementia (the Medical and Mental Health Unit, MMHU) was developed and then tested in a randomised controlled trial where it delivered significantly higher quality of, and satisfaction with, care, but no significant benefits in terms of health status outcomes at three months. Objective: To examine the cost-effectiveness of the MMHU for older people with delirium and dementia in general hospitals, compared with standard care. Methods: Six hundred participants aged over 65 admitted for acute medical care, identified on admission as cognitively impaired, were randomised to the MMHU or to standard care on acute geriatric or general medical wards. Cost per quality adjusted life year (QALY) gained, at 3-month follow-up, was assessed in trial-based economic evaluation (599/600 participants, intervention: 309). Multiple imputation and complete-case sample analyses were employed to deal with missing QALY data (55%). Results: The total adjusted health and social care costs, including direct costs of the intervention, at 3 months was £7714 and £7862 for MMHU and standard care groups, respectively (difference -£149 (95% confidence interval [CI]: -298, 4)). The difference in QALYs gained was 0.001 (95% CI: -0.006, 0.008). The probability that the intervention was dominant was 58%, and the probability that it was cost-saving with QALY loss was 39%. At £20,000/QALY threshold, the probability of cost-effectiveness was 94%, falling to 59% when cost-saving QALY loss cases were excluded. Conclusions: The MMHU was strongly cost-effective using usual criteria, although considerably less so when the less acceptable situation with QALY loss and cost savings were excluded. Nevertheless, this model of care is worthy of further evaluation.
Central Coast Australia Delirium Intervention Study (CADIS)
<p>Randomized controlled trial of a new delirium phenotype</p>
Dataset for the validation of the Delirium Observation Screening Scale in long-term care facilities in Flanders
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Dataset to determine the prevalence of delirium in belgian nursing homes by a cross-sectional evaluation
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Dataset from the second wave of a pre-post study to test an interactive blended learning tool for delirium management in Belgian Nursing Homes by measuring delirium knowledge and evaluation of the tool
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Consolidated dataset of a pre-post study to test an interactive blended learning approach for delirium management in Belgian Nursing Homes
<p><span>Consolidated dataset of a pre-post study to test an interactive blended learning approach for delirium management in Belgian Nursing Homes </span><span>by measuring delirium knowledge (with the delirium knowledge questionnaire (DKQ) in both waves), strain of care for delirium (with the strain of care for delirium index (SCDI) in the first wave) and evaluation of the blended learning approach after the second wave.</span></p>
Dataset from the first wave of a pre-post study to test an interactive blended learning tool for delirium management in Belgian Nursing Homes by measuring delirium knowledge and strain of care for delirium
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Data from: Performance and agreement of risk stratification instruments for postoperative delirium in persons aged 50 years or older
Several risk stratification instruments for postoperative delirium in older people have been developed because early interventions may prevent delirium. We investigated the performance and agreement of nine commonly used risk stratification instruments in an independent validation cohort of consecutive elective and emergency surgical patients aged ≥50 years with ≥1 risk factor for postoperative delirium. Data was collected prospectively. Delirium was diagnosed according to DSM-IV-TR criteria. The observed incidence of postoperative delirium was calculated per risk score per risk stratification instrument. In addition, the risk stratification instruments were compared in terms of area under the receiver operating characteristic (ROC) curve (AUC), and positive and negative predictive value. Finally, the positive agreement between the risk stratification instruments was calculated. When data required for an exact implementation of the original risk stratification instruments was not available, we used alternative data that was comparable. The study population included 292 patients: 60% men; mean age (SD), 66 (8) years; 90% elective surgery. The incidence of postoperative delirium was 9%. The maximum observed incidence per risk score was 50% (95%CI, 15–85%); for eight risk stratification instruments, the maximum observed incidence per risk score was ≤25%. The AUC (95%CI) for the risk stratification instruments varied between 0.50 (0.36–0.64) and 0.66 (0.48–0.83). No AUC was statistically significant from 0.50 (p≥0.11). Positive predictive values of the risk stratification instruments varied between 0–25%, negative predictive values between 89–95%. Positive agreement varied between 0–66%. No risk stratification instrument showed clearly superior performance. In conclusion, in this independent validation cohort, the performance and agreement of commonly used risk stratification instruments for postoperative delirium was poor. Although some caution is needed because the risk stratification instruments were not implemented exactly as described in the original studies, we think that their usefulness in clinical practice can be questioned.
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