Interventions for preventing intensive care unit delirium in adults.
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ABSTRACT:
SUBMITTER: Herling SF
PROVIDER: S-EPMC6373634 | biostudies-literature |
REPOSITORIES: biostudies-literature
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Project description:Delirium is one of the most common behavioral manifestations of acute brain dysfunction in the intensive care unit (ICU) and is a strong predictor of worse outcome. Routine monitoring for delirium is recommended for all ICU patients using validated tools. In delirious patients, a search for all reversible precipitants is the first line of action and pharmacologic treatment should be considered when all causes have been ruled out, and it is not contraindicated. Long-term morbidity has significant consequences for survivors of critical illness and for their caregivers. ICU patients may develop posttraumatic stress disorder related to their critical illness experience.
| S-EPMC5747308 | biostudies-literature
Project description:BACKGROUND:Accurate prediction of delirium in the intensive care unit (ICU) may facilitate efficient use of early preventive strategies and stratification of ICU patients by delirium risk in clinical research, but the optimal delirium prediction model to use is unclear. We compared the predictive performance and user convenience of the prediction model for delirium (PRE-DELIRIC) and early prediction model for delirium (E-PRE-DELIRIC) in ICU patients and determined the value of a two-stage calculation. METHODS:This 7-country, 11-hospital, prospective cohort study evaluated consecutive adults admitted to the ICU who could be reliably assessed for delirium using the Confusion Assessment Method-ICU or the Intensive Care Delirium Screening Checklist. The predictive performance of the models was measured using the area under the receiver operating characteristic curve. Calibration was assessed graphically. A physician questionnaire evaluated user convenience. For the two-stage calculation we used E-PRE-DELIRIC immediately after ICU admission and updated the prediction using PRE-DELIRIC after 24 h. RESULTS:In total 2178 patients were included. The area under the receiver operating characteristic curve was significantly greater for PRE-DELIRIC (0.74 (95% confidence interval 0.71-0.76)) compared to E-PRE-DELIRIC (0.68 (95% confidence interval 0.66-0.71)) (z score of -?2.73 (p?<?0.01)). Both models were well-calibrated. The sensitivity improved when using the two-stage calculation in low-risk patients. Compared to PRE-DELIRIC, ICU physicians (n?=?68) rated the E-PRE-DELIRIC model more feasible. CONCLUSIONS:While both ICU delirium prediction models have moderate-to-good performance, the PRE-DELIRIC model predicts delirium better. However, ICU physicians rated the user convenience of E-PRE-DELIRIC superior to PRE-DELIRIC. In low-risk patients the delirium prediction further improves after an update with the PRE-DELIRIC model after 24 h. TRIAL REGISTRATION:ClinicalTrials.gov, NCT02518646 . Registered on 21 July 2015.
| S-EPMC5935943 | biostudies-literature
Project description:BackgroundEffects of clinical practice changes on ICU delirium are not well understood.ObjectivesDetermine ICU delirium rates over time.MethodsData from a previously described screening cohort of the Pharmacological Management of Delirium trial was analyzed. Richmond Agitation-Sedation Scale (RASS) and Confusion Assessment Method for the ICU (CAM-ICU) were assessed twice daily. We defined: Any delirium (positive CAM-ICU at any time during ICU stay) and ICU-acquired delirium (1st CAM-ICU negative with a subsequent positive CAM-ICU). Mixed-effects logistic regression models were used to test for differences.Results2742 patient admissions were included. Delirium occurred in 16.5%, any delirium decreased [22.7% to 10.2% (p < 0.01)], and ICU-acquired delirium decreased [8.4% to 4.4% (p = 0.01)]. Coma decreased from 24% to 17.4% (p = 0.04). Later ICU years and higher mean RASS scores were associated with lower odds of delirium.ConclusionsDelirium rates were not explained by the measured variables and further prospective research is needed.
| S-EPMC7483280 | biostudies-literature
Project description:To conduct a multinational survey of intensive care unit professionals to determine the practices on delirium assessment and management, in addition to their perceptions and attitudes toward the evaluation and impact of delirium in patients requiring noninvasive ventilation.An electronic questionnaire was created to evaluate the profiles of the respondents and their related intensive care units, the systematic delirium assessment and management and the respondents' perceptions and attitudes regarding delirium in patients requiring noninvasive ventilation. The questionnaire was distributed to the cooperative network for research of the Associação de Medicina Intensiva Brasileira (AMIB-Net) mailing list and to researchers in different centers in Latin America and Europe.Four hundred thirty-six questionnaires were available for analysis; the majority of the questionnaires were from Brazil (61.9%), followed by Turkey (8.7%) and Italy (4.8%). Approximately 61% of the respondents reported no delirium assessment in the intensive care unit, and 31% evaluated delirium in patients under noninvasive ventilation. The Confusion Assessment Method for the intensive care unit was the most reported validated diagnostic tool (66.9%). Concerning the indication of noninvasive ventilation in patients already presenting with delirium, 16.3% of respondents never allow the use of noninvasive ventilation in this clinical context.This survey provides data that strongly reemphasizes poor efforts toward delirium assessment and management in the intensive care unit setting, especially regarding patients requiring noninvasive ventilation.
| S-EPMC4738822 | biostudies-other
Project description:intensive care unit shotgun raw sequences Metagenome
| PRJNA562118 | ENA
Project description:Delirium prevalence in the intensive care unit (ICU) is high. Numerous psychotropic agents are used to manage delirium in the ICU with limited data regarding their efficacy or harms.This is a randomized controlled trial of 428 patients aged 18 and older suffering from delirium and admitted to the ICU of Wishard Memorial Hospital in Indianapolis. Subjects assigned to the intervention group will receive a multicomponent pharmacological management protocol for delirium (PMD) and those assigned to the control group will receive no change in their usual ICU care. The primary outcomes of the trial are (1) delirium severity as measured by the Delirium Rating Scale revised-98 (DRS-R-98) and (2) delirium duration as determined by the Confusion Assessment Method for the ICU (CAM-ICU). The PMD protocol targets the three neurotransmitter systems thought to be compromised in delirious patients: dopamine, acetylcholine, and gamma-aminobutyric acid. The PMD protocol will target the reduction of anticholinergic medications and benzodiazepines, and introduce a low-dose of haloperidol at 0.5-1 mg for 7 days. The protocol will be delivered by a combination of computer (artificial intelligence) and pharmacist (human intelligence) decision support system to increase adherence to the PMD protocol.The proposed study will evaluate the content and the delivery process of a multicomponent pharmacological management program for delirium in the ICU.ClinicalTrials.gov: NCT00842608.
| S-EPMC3123563 | biostudies-literature
Project description:OBJECTIVE:Inflammation correlates with delirium. Galectin-3 is a proinflammatory protein. This study aimed to determine relation of serum galectin-3 levels to delirium of postpartum intensive care unit (ICU) women. MATERIALS AND METHODS:In this prospective observational study, serum galectin-3, S100B, and C-reactive protein levels of 412 postpartum ICU women and 412 healthy women were measured. Delirium and Acute Physiology and Chronic Health Care Evaluation II (APCHCE II) scores were recorded. RESULTS:Serum levels of galectin-3, S100B, and C-reactive protein were significantly elevated in the postpartum women than in the healthy women. Galectin-3 levels were highly associated with APCHCE II scores and S100B and C-reactive protein levels. Galectin-3, C-reactive protein, and S100B levels and APCHCE II scores were identified as independent predictors for delirium. Area under the curve (AUC) of serum galectin-3 levels was similar to that of S100B levels, and significantly exceeded those of C-reactive protein levels and APCHCE II scores. Moreover, galectin-3 significantly improved the AUCs of APCHCE II scores, S100B levels, and C-reactive protein levels. CONCLUSIONS:Galectin-3, involved in inflammatory process underlying delirium-related brain injury, might be a potential biomarker to predict delirium of postpartum ICU women.
| S-EPMC5561326 | biostudies-literature
Project description:BackgroundPatients in the intensive care unit (ICU) are known to be at increased risk of developing delirium, but the risk of subsequent neuropsychiatric disorders is unclear. We therefore sought to examine the association between the presence of delirium in the ICU and incident neuropsychiatric disorders (including depressive, anxiety, trauma-and-stressor-related, and neurocognitive disorders) post-ICU stay among adult medical-surgical ICU patients.MethodsRetrospective cohort study utilizing clinical and administrative data from both inpatient and outpatient healthcare visits to identify the ICU cohort and diagnostic information 5 years prior to and 1 year post-ICU stay. Patients ≥ 18 years of age admitted to one of 14 medical-surgical ICUs across Alberta, Canada, January 1, 2014-June 30, 2016, and survived to hospital discharge were included. The main outcome of interest was a new diagnosis of any neuropsychiatric disorder 1 year post-ICU stay. The exposure variable was delirium during the ICU stay identified through any positive delirium screen by the Intensive Care Unit Delirium Screening Checklist (ICDSC) during the ICU stay.ResultsOf 16,005 unique patients with at least one ICU admission, 4033 patients were included in the study of which 1792 (44%) experienced delirium during their ICU stay. The overall cumulative incidence of any neuropsychiatric disorder during the subsequent year was 19.7% for ICU patients. After adjusting for hospital characteristics using log-binomial regression, patients with delirium during the ICU stay had a risk ratio (RR) of 1.14 (95% confidence interval [CI] 0.98-1.33) of developing any neuropsychiatric disorder within 1 year post-ICU compared to those who did not experience delirium. Delirium was significantly associated with neurocognitive disorders (RR 1.59, 95% CI 1.08-2.35), but not depressive disorders (RR 1.16, 95% CI 0.92-1.45), anxiety (RR 1.16, 95% CI 0.92-1.47), and trauma-and-stressor-related (RR 0.82, 95% CI 0.53-1.28) disorders.ConclusionsThe diagnosis of new onset of neurocognitive disorders is associated with ICU-acquired delirium. In this study, significant associations were not observed for depressive, anxiety, and trauma-and-stressor-related disorders.
| S-EPMC7393876 | biostudies-literature
Project description:It has become a standard measure in recent years to utilise evidence-based practice, which is associated with a greater need to implement and use advanced, reliable methods of summarising the achievements of various scientific disciplines, including such highly specialised approaches as personalised medicine. The aim of this paper was to discuss the current state of knowledge related to improvements in "nursing" involving management of delirium in intensive care units during the SARS-CoV-2 pandemic. This narrative review summarises the current knowledge concerning the challenges associated with assessment of delirium in patients with COVID-19 by ICU nurses, and the role and tasks in the personalised approach to patients with COVID-19.
| S-EPMC7766119 | biostudies-literature