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1.
J Crit Care ; 79: 154490, 2024 02.
Article in English | MEDLINE | ID: mdl-38000230

ABSTRACT

PURPOSE: Describe the incidence and factors associated with recurrent delirium in the intensive care unit (ICU). MATERIALS AND METHODS: Retrospective study of ICU patients diagnosed with delirium. Delirium clearance defined as 48 h of negative delirium assessments following initial episode and recurrent delirium as any positive delirium assessment following clearance. Multivariable logistic regression model assessed independent association of patient and hospital factors on development of recurrent delirium, adjusting for pre-defined covariates. RESULTS: Among 8591 ICU admissions identified with delirium, 1067 (12.4%) had recurrent symptoms. Factors associated with increased odds of recurrent delirium were age (nonlinear; p = 0.02), shock (OR 1.45, 95% CI [1.20, 1.75]), admission to medical (OR 3.25, 95% CI [2.42, 4.37]), surgical (OR 3.00, 95% CI [2.21, 4.06]), or trauma (OR 2.17, 95% CI [1.58, 3.00]) ICU vs. cardiovascular ICU, increased duration of mechanical ventilation (OR 2.43, 95% CI [2.22, 2.65]), propofol use (OR 1.35, 95% CI [1.02, 1.80]), and antipsychotic medications (haloperidol OR 1.53, 95% CI [1.26, 1.86]; quetiapine OR 2.45, 95% CI [1.98, 3.02]; and olanzapine OR 1.54, 95% CI [1.25, 1.88]). CONCLUSIONS: Over 10% of delirious ICU patients had recurrent symptoms. Factors associated with recurrence included age, duration of mechanical ventilation and medication exposure. CLINICAL TRIAL NUMBER: Not applicable.


Subject(s)
Delirium , Humans , Retrospective Studies , Incidence , Delirium/diagnosis , Intensive Care Units , Haloperidol/therapeutic use
2.
Anesth Analg ; 133(3): 713-722, 2021 09 01.
Article in English | MEDLINE | ID: mdl-33433117

ABSTRACT

BACKGROUND: Pharmacologic agents are frequently utilized for management of intensive care unit (ICU) delirium, yet prescribing patterns and impact of medication choices on patient outcomes are poorly described. We sought to describe prescribing practices for management of ICU delirium and investigate the independent association of medication choice on key in-hospital outcomes including delirium resolution, in-hospital mortality, and days alive and free of the ICU or hospital. METHODS: A retrospective study of delirious adult ICU patients at a tertiary academic medical center. Data were obtained regarding daily mental status (normal, delirious, and comatose), pharmacologic treatment, hospital course, and survival via electronic health record. Daily transition models were constructed to assess the independent association of previous day mental status and medication administration on mental status the following day and in-hospital mortality, after adjusting for prespecified covariates. Linear regression models investigated the association of medication administration on days alive and free of the ICU or the hospital during the first 30 days after ICU admission. RESULTS: We identified 8591 encounters of ICU delirium. Half (45.6%) of patients received pharmacologic treatment for delirium, including 45.4% receiving antipsychotics, 2.2% guanfacine, and 0.84% valproic acid. Median highest Richmond Agitation-Sedation Scale (RASS) score was 1 (0, 1) in patients initiated on medications and 0 (-1, 0) for nonrecipients. Haloperidol, olanzapine, and quetiapine comprised >97% of antipsychotics utilized with 48% receiving 2 or more and 20.6% continued on antipsychotic medications at hospital discharge. Haloperidol and olanzapine were associated with greater odds of continued delirium (odds ratio [OR], 1.48; 95% confidence interval [95% CI], 1.30-1.65; P < .001 and OR, 1.37; 95% CI, 1.20-1.56; P = .003, respectively) and increased hazard of in-hospital mortality (hazard ratio [HR], 1.46; 95% CI, 1.10-1.93; P = .01 and HR, 1.67; 95% CI, 1.14-2.45; P = .01, respectively) while quetiapine showed a decreased hazard of in-hospital mortality (HR, 0.58; 95% CI, 0.40-0.84; P = .01). Haloperidol, olanzapine, and quetiapine were associated with fewer days alive and free of hospitalization (all P < .001). There was no significant association of any antipsychotic medication with days alive and free of the ICU. Neither guanfacine nor valproic acid were associated with in-hospital outcomes examined. CONCLUSIONS: Pharmacologic interventions for management of ICU delirium are common, most often with antipsychotics, and frequently continued at hospital discharge. These medications may not portend benefit, may introduce additional harm, and should be used with caution for delirium management. Continuation of these medications through hospitalization and discharge draws into question their safety and role in patient recovery.


Subject(s)
Antipsychotic Agents/therapeutic use , Delirium/drug therapy , Intensive Care Units , Postoperative Complications/drug therapy , Practice Patterns, Physicians'/trends , Aged , Antipsychotic Agents/adverse effects , Delirium/etiology , Delirium/mortality , Delirium/psychology , Drug Prescriptions , Drug Utilization/trends , Electronic Health Records , Female , Hospital Mortality , Humans , Length of Stay , Male , Middle Aged , Patient Discharge , Postoperative Complications/etiology , Postoperative Complications/mortality , Postoperative Complications/psychology , Retrospective Studies , Time Factors , Transitional Care , Treatment Outcome
3.
Circ Arrhythm Electrophysiol ; 8(3): 643-50, 2015 Jun.
Article in English | MEDLINE | ID: mdl-25878324

ABSTRACT

BACKGROUND: Dexmedetomidine is commonly used after congenital heart surgery and may be associated with a decreased incidence of postoperative tachyarrhythmias. Using a large cohort of patients undergoing congenital heart surgery, we examined for an association between dexmedetomidine use in the immediate postoperative period and subsequent arrhythmia development. METHODS AND RESULTS: A total of 1593 surgical procedures for congenital heart disease were performed. Dexmedetomidine was administered in the immediate postoperative period after 468 (29%) surgical procedures. When compared with 1125 controls, the group receiving dexmedetomidine demonstrated significantly fewer tachyarrhythmias (29% versus 38%; P<0.001), tachyarrhythmias receiving intervention (14% versus 23%; P<0.001), bradyarrhythmias (18% versus 22%; P=0.03), and bradyarrhythmias receiving intervention (12% versus 16%; P=0.04). After propensity score matching with 468 controls, the arrhythmia incidence between groups became similar: tachyarrhythmias (29% versus 31%; P=0.66), tachyarrhythmias receiving intervention (14% versus 17%; P=0.16), bradyarrhythmias (18% versus 15%; P=0.44), and bradyarrhythmias receiving intervention (12% versus 9%; P=0.17). After excluding controls exposed to dexmedetomidine at a later time in the hospitalization, dexmedetomidine was associated with increased odds of bradyarrhythmias receiving intervention (odds ratio, 2.18; 95% confidence interval, 1.02-4.65). Furthermore, there was a dose-dependent increase in the odds of bradyarrhythmias (odds ratio, 1.04; 95% confidence interval, 1.01-1.07) and bradyarrhythmias receiving intervention (odds ratio, 1.05; 95% confidence interval, 1.01-1.08). CONCLUSIONS: Although dexmedetomidine exposure in the immediate postoperative period is not associated with a clinically meaningful difference in the incidence of tachyarrhythmias after congenital heart surgery, it may be associated with increased odds of bradyarrhythmias.


Subject(s)
Adrenergic alpha-2 Receptor Agonists/adverse effects , Arrhythmias, Cardiac/chemically induced , Cardiac Surgical Procedures , Dexmedetomidine/adverse effects , Heart Defects, Congenital/surgery , Arrhythmias, Cardiac/diagnosis , Arrhythmias, Cardiac/epidemiology , Arrhythmias, Cardiac/physiopathology , Bradycardia/chemically induced , Bradycardia/epidemiology , Chi-Square Distribution , Child , Child, Preschool , Female , Humans , Incidence , Infant , Infant, Newborn , Logistic Models , Male , Multivariate Analysis , Odds Ratio , Propensity Score , Retrospective Studies , Risk Factors , Tachycardia/chemically induced , Tachycardia/epidemiology , Tennessee/epidemiology , Time Factors , Treatment Outcome
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