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Utility of a prediction model for delirium in intensive care unit patients (PRE-DELIRIC) in mechanically ventilated patients with sepsis.

ABSTRACT: Aim:Delirium frequently develops in patients with sepsis during their intensive care unit (ICU) stay, which is associated with increased morbidity and mortality. A prediction model for delirium in patients in ICU, PRE-DELIRIC, has been utilized in overall ICU patients, but its utility is uncertain among patients with sepsis. This study aims to examine the utility of PRE-DELIRIC to predict delirium in mechanically ventilated patients with sepsis. Methods:This is a post hoc analysis of a randomized clinical trial in eight Japanese ICUs, which aimed to evaluate the sedative strategy with/without dexmedetomidine in adult mechanically ventilated patients with sepsis. The Confusion Assessment Method for the ICU was used every day to assess for delirium throughout their ICU stay. We excluded patients who were delirious on the first day of ICU, those who were under sustained coma throughout their ICU stay, and those who stayed in the ICU less than 24 h. The discriminative ability of PRE-DELIRIC was evaluated by measuring the area under the receiver operating characteristic curve (AUROC). Results:Of the 201 patients enrolled in the trial, we analyzed 158 patients. The mean age was 69.4 ± 14.0 years, and 99 patients (63%) were men. Delirium occurred at least once during the ICU stay of 63 patients (40%). The AUROC of PRE-DELIRIC was 0.60 (95% confidence interval, 0.50-0.69). Subgroup analyses indicated that PRE-DELIRIC was useful in those with Sequential Organ Failure Assessment score >8 with AUROC of 0.65 (95% confidence interval, 0.51-0.77). Conclusions:The PRE-DELIRIC model could not predict delirium in mechanically ventilated patients with sepsis.

SUBMITTER: Miyamoto K

PROVIDER: S-EPMC7640736 | biostudies-literature | 2020 Jan-Dec

REPOSITORIES: biostudies-literature

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Utility of a prediction model for delirium in intensive care unit patients (PRE-DELIRIC) in mechanically ventilated patients with sepsis.

Miyamoto Kyohei K Nakashima Tsuyoshi T Shima Nozomu N Kato Seiya S Kawazoe Yu Y Morimoto Takeshi T Ohta Yoshinori Y Yamamura Hitoshi H

Acute medicine & surgery 20200101 1

<h4>Aim</h4>Delirium frequently develops in patients with sepsis during their intensive care unit (ICU) stay, which is associated with increased morbidity and mortality. A prediction model for delirium in patients in ICU, PRE-DELIRIC, has been utilized in overall ICU patients, but its utility is uncertain among patients with sepsis. This study aims to examine the utility of PRE-DELIRIC to predict delirium in mechanically ventilated patients with sepsis.<h4>Methods</h4>This is a post hoc analysis ...[more]

PMID: 33173589

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Project description:ObjectiveDelirium is common in intensive care patients and is associated with short- and long-term adverse outcomes. We investigated the long-term risk of cognitive impairment and post-traumatic stress disorder (PTSD) in intensive care patients with and without delirium.MethodsThis is a prospective cohort study in ICUs in two Australian university-affiliated hospitals. Patients were eligible if they were older than 18 years, mechanically ventilated for more than 24 h and did not meet exclusion criteria. Delirium was assessed using the Confusion Assessment Method for Intensive Care Unit. Variables assessing cognitive function and PTSD symptoms were collected at ICU discharge, after 6 and 12 months: Mini-Mental State Examination, Telephone Interview for Cognitive Status, Impact of Events Scale-Revised and Informant Questionnaire for Cognitive Decline (caregiver).Results103 participants were included of which 36% developed delirium in ICU. Patients with delirium were sicker and had longer duration of mechanical ventilation and ICU length of stay. After 12 months, 41/60 (68.3%) evaluable patients were cognitively impaired, with 11.6% representing the presence of symptoms consistent with dementia. When evaluated by the patient's caregiver, the patient's cognitive function was found to be severely impaired in a larger proportion of patients (14/60, 23.3%). Delirium was associated with worse cognitive function at ICU discharge, but not with long-term cognitive function. IES-R scores, measuring PTSD symptoms, were significantly higher in patients who had delirium compared to patients without delirium. In regression analysis, delirium was independently associated with cognitive function at ICU discharge and PTSD symptoms at 12 months.ConclusionsIntensive care survivors have significant rates of long-term cognitive decline and PTSD symptoms. Delirium in ICU was independently associated with short-term but not long-term cognitive function, and with long-term PTSD symptoms. Trial registration Australian New Zealand Clinical Trials Registry, ACTRN12616001116415, 15/8/2016 retrospectively registered, https://www.anzctr.org.au.

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.

Project description:Objective: Music listening interventions are utilized in a wide variety of clinical settings to help patients manage stress, anxiety, pain, discomfort, as well as attendant influences on sedative exposure, delirium, and cognitive functioning. While the body of research regarding the use of music-based listening interventions continues to grow, there is a paucity of information in the literature about specific music used for listening interventions. The purpose of this secondary analysis is to examine the music that study participants identified as their preferred music and listened to during the study. Design: This secondary analysis is based on data from a parent study, which was a three-arm randomized controlled trial attesting a patient-directed music (PDM) listening protocol to manage the psychophysiological symptom of anxiety. Setting: Twelve intensive care units in a major metropolitan area in the United States. Subjects: Participants included the 126 mechanically ventilated patients enrolled and randomized to the PDM listening arm of the study. Results: Data presented in this study include playlists from the 12 genres patients self-identified as preferred with specific groups and artists requested for music listening during the study. Discographies of the playlists are also included. Conclusions: The efficacy of interventions is impacted by the design of the intervention and the selection of music utilized. Implications of this analysis further explore the role of a board-certified music therapist (MT-BC) in designing and implementing a music listening intervention. The specialized knowledge on the therapeutic use and benefits of music that an MT-BC possesses supports the development of quality study intervention and appropriate implementation. The review of the music utilized in the parent study provides detailed information about the music utilized to inform future research focused on music listening interventions to effectively build on previous studies. Clinical Trial Registration: ClinicalTrials.gov NCT00440700.

Dataset Information

Utility of a prediction model for delirium in intensive care unit patients (PRE-DELIRIC) in mechanically ventilated patients with sepsis.

Publications

Utility of a prediction model for delirium in intensive care unit patients (PRE-DELIRIC) in mechanically ventilated patients with sepsis.

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