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The influence of alcohol abuse on agitation, delirium and sedative requirements of patients admitted to a general intensive care unit.

ABSTRACT: Purpose:Patients with alcohol-related disease constitute an increasing proportion of those admitted to intensive care unit. There is currently limited evidence regarding the impact of alcohol use on levels of agitation, delirium and sedative requirements in intensive care unit. This study aimed to determine whether intensive care unit-admitted alcohol-abuse patients have different sedative requirements, agitation and delirium levels compared to patients with no alcohol issues. Methods:This retrospective analysis of a prospectively acquired database (June 2012-May 2013) included 257 patients. Subjects were stratified into three risk categories: alcohol dependency (n?=?69), at risk (n?=?60) and low risk (n?=?128) according to Fast Alcohol Screening Test scores and World Health Organisation criteria for alcohol-related disease. Data on agitation and delirium were collected using validated retrospective chart-screening methods and sedation data were extracted and then log-transformed to fit the regression model. Results:Incidence of agitation (p?=?0.034) and delirium (p?=?0.041) was significantly higher amongst alcohol-dependent patients compared to low-risk patients as was likelihood of adverse events (p?=?0.007). In contrast, at-risk patients were at no higher risk of these outcomes compared to the low-risk group. Alcohol-dependent patients experienced suboptimal sedation levels more frequently and received a wider range of sedatives (p?=?0.019) but did not receive higher daily doses of any sedatives. Conclusions:Our analysis demonstrates that when admitted to intensive care unit, it is those who abuse alcohol most severely, alcohol-dependent patients, rather than at-risk drinkers who have a significantly increased risk of agitation, delirium and suboptimal sedation. These patients may require closer assessment and monitoring for these outcomes whilst admitted.

SUBMITTER: Stewart D

PROVIDER: S-EPMC6693117 | biostudies-literature | 2019 Aug

REPOSITORIES: biostudies-literature

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The influence of alcohol abuse on agitation, delirium and sedative requirements of patients admitted to a general intensive care unit.

Stewart Donald D Kinsella John J McPeake Joanne J Quasim Tara T Puxty Alex A

Journal of the Intensive Care Society 20180730 3

<h4>Purpose</h4>Patients with alcohol-related disease constitute an increasing proportion of those admitted to intensive care unit. There is currently limited evidence regarding the impact of alcohol use on levels of agitation, delirium and sedative requirements in intensive care unit. This study aimed to determine whether intensive care unit-admitted alcohol-abuse patients have different sedative requirements, agitation and delirium levels compared to patients with no alcohol issues.<h4>Methods ...[more]

PMID: 31447913

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Project description:BackgroundNo data is available on delirium prediction models in the cardiac intensive care unit (CICU), although preexisting delirium prediction models [PREdiction of DELIRium in ICu patients (PRE-DELIRIC) and Early PREdiction of DELIRium in ICu patients (E-PRE-DELIRIC)] were developed and validated based on a population admitted to the general intensive care unit (ICU). Therefore, we externally validated the usefulness of the PRE-DELIRIC and E-PRE-DELIRIC models and compared their predictive performance in patients admitted to the CICU.MethodsA total of 2,724 patients admitted to the CICU were enrolled between September 2012 and December 2018. Delirium was defined as at least one positive Confusion Assessment Method for the ICU (CAM-ICU) which was screened at least once every 8 h. The PRE-DELIRIC value was calculated within 24 h of CICU admission, and the E-PRE-DELIRIC value was calculated at CICU admission. The predictive performance of the models was evaluated by using the area under the receiver operating characteristic (AUROC) curve, and the calibration slope was assessed graphically by plotting.ResultsDelirium occurred in 677 patients (24.8%) when the patients were assessed thrice daily until 7 days of the CICU stay. The AUROC curve for the prediction of delirium was significantly greater for PRE-DELIRIC values [0.84, 95% confidence interval (CI): 0.82-0.86] than for E-PRE-DELIRIC values (0.79, 95% CI: 0.77-0.80) [z score of -6.24 (p < 0.001)]. Net reclassification improvement for the prediction of delirium increased by 0.27 (95% CI: 0.21-0.32, p < 0.001). Calibration was acceptable in the PRE-DELIRIC model (Hosmer-Lemeshow p = 0.170) but not in the E-PRE-DELIRIC model (Hosmer-Lemeshow p < 0.001).ConclusionAlthough both models have good predictive performance for the development of delirium, even in critically ill cardiac patients, the performance of the PRE-DELIRIC model might be superior to that of the E-PRE-DELIRIC model. Further studies are required to confirm our results and design a specific delirium prediction model for CICU patients.

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:To determine whether benzodiazepine and propofol doses are increased at night and whether daytime and nighttime sedative doses are associated with delirium, coma, and delayed liberation from mechanical ventilation.Single-center, prospective cohort study nested within the Awakening and Breathing Controlled randomized trial.Saint Thomas Hospital in Nashville, TN, from 2004 to 2006.Adult patients receiving mechanical ventilation for >12 hrs with continuous recording of hourly sedation dosing.We measured hourly doses of benzodiazepine and propofol exposure during the daytime (7 AM to 11 PM) and nighttime (11 PM to 7 AM) for 5 days. We quantified nighttime dose increases by subtracting the average hourly daytime dose on the preceding day from subsequent average hourly nighttime dose. We used multivariable logistic regression to determine whether daytime and nighttime dose increases were independently associated with delirium, coma, and delayed liberation from mechanical ventilation.Among 140 patients, the median Acute Physiology and Chronic Health Evaluation II score was 27 (interquartile range 22-33). Among those receiving the sedatives, benzodiazepine and propofol doses were increased at night on 40% and 41% of patient-days, respectively. Of 485 patient-days, delirium was present on 160 (33%) and coma on 206 (42%). In adjusted models, greater daytime benzodiazepine dose was independently associated with failed spontaneous breathing trial and extubation, and subsequent delirium (p<.02 for all). Nighttime increase in benzodiazepine dose was associated with failed spontaneous breathing trial (p<.01) and delirium (p=.05). Daytime propofol dose was marginally associated with subsequent delirium (p=.06).Nearly half of mechanically ventilated intensive care unit patients received greater doses of sedation at night, a practice associated with failed spontaneous breathing trials, coma, and delirium. Over the first 5 days in our study, patients spent 75% of their time in coma or delirium, outcomes that may be reduced by efforts to decrease sedative exposure during both daytime and nighttime hours in the intensive care unit.

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The influence of alcohol abuse on agitation, delirium and sedative requirements of patients admitted to a general intensive care unit.

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The influence of alcohol abuse on agitation, delirium and sedative requirements of patients admitted to a general intensive care unit.

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