Dataset Information

Delirium and Catatonia in Critically Ill Patients: The Delirium and Catatonia Prospective Cohort Investigation.

ABSTRACT: OBJECTIVES:Catatonia, a condition characterized by motor, behavioral, and emotional changes, can occur during critical illness and appear as clinically similar to delirium, yet its management differs from delirium. Traditional criteria for medical catatonia preclude its diagnosis in delirium. Our objective in this investigation was to understand the overlap and relationship between delirium and catatonia in ICU patients and determine diagnostic thresholds for catatonia. DESIGN:Convenience cohort, nested within two ongoing randomized trials. SETTING:Single academic medical center in Nashville, TN. PATIENTS:We enrolled 136 critically ill patients on mechanical ventilation and/or vasopressors, randomized to two usual care sedation regimens. MEASUREMENTS AND MAIN RESULTS:Patients were assessed for delirium and catatonia by independent and masked personnel using Confusion Assessment Method for the ICU and the Bush Francis Catatonia Rating Scale mapped to Diagnostic Statistical Manual 5 criterion A for catatonia. Of 136 patients, 58 patients (43%) had only delirium, four (3%) had only catatonia, 42 (31%) had both, and 32 (24%) had neither. In a logistic regression model, more catatonia signs were associated with greater odds of having delirium. For example, patient assessments with greater than or equal to three Diagnostic Statistical Manual 5 symptoms (75th percentile) had, on average, 27.8 times the odds (interquartile range, 12.7-60.6) of having delirium compared with patient assessments with zero Diagnostic Statistical Manual 5 criteria (25th percentile) present (p < 0.001). A cut-off of greater than or equal to 4 Bush Francis Catatonia Screening Instrument items was both sensitive (91%; 95% CI, 82.9-95.3) and specific (91%; 95% CI, 87.6-92.9) for Diagnostic Statistical Manual 5 catatonia. CONCLUSIONS:Given that about one in three patients had both catatonia and delirium, these data prompt reconsideration of Diagnostic Statistical Manual 5 criteria for "Catatonic Disorder Due to Another Medical Condition" that preclude diagnosing catatonia in the presence of delirium.

SUBMITTER: Wilson JE

PROVIDER: S-EPMC5678952 | biostudies-literature | 2017 Nov

REPOSITORIES: biostudies-literature

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Delirium and Catatonia in Critically Ill Patients: The Delirium and Catatonia Prospective Cohort Investigation.

Wilson Jo E JE Carlson Richard R Duggan Maria C MC Pandharipande Pratik P Girard Timothy D TD Wang Li L Thompson Jennifer L JL Chandrasekhar Rameela R Francis Andrew A Nicolson Stephen E SE Dittus Robert S RS Heckers Stephan S Ely E Wesley EW

Critical care medicine 20171101 11

<h4>Objectives</h4>Catatonia, a condition characterized by motor, behavioral, and emotional changes, can occur during critical illness and appear as clinically similar to delirium, yet its management differs from delirium. Traditional criteria for medical catatonia preclude its diagnosis in delirium. Our objective in this investigation was to understand the overlap and relationship between delirium and catatonia in ICU patients and determine diagnostic thresholds for catatonia.<h4>Design</h4>Con ...[more]

PMID: 28841632

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Project description:ObjectiveTo determine the attributable mortality caused by delirium in critically ill patients.DesignProspective cohort study.Setting32 mixed bed intensive care unit in the Netherlands, January 2011 to July 2013.Participants1112 consecutive adults admitted to an intensive care unit for a minimum of 24 hours.ExposuresTrained observers evaluated delirium daily using a validated protocol. Logistic regression and competing risks survival analyses were used to adjust for baseline variables and a marginal structural model analysis to adjust for confounding by evolution of disease severity before the onset of delirium.Main outcome measureMortality during admission to an intensive care unit.ResultsAmong 1112 evaluated patients, 558 (50.2%) developed at least one episode of delirium, with a median duration of 3 days (interquartile range 2-7 days). Crude mortality was 94/558 (17%) in patients with delirium compared with 40/554 (7%) in patients without delirium (P<0.001). Delirium was significantly associated with mortality in the multivariable logistic regression analysis (odds ratio 1.77, 95% confidence interval 1.15 to 2.72) and survival analysis (subdistribution hazard ratio 2.08, 95% confidence interval 1.40 to 3.09). However, the association disappeared after adjustment for time varying confounders in the marginal structural model (subdistribution hazard ratio 1.19, 95% confidence interval 0.75 to 1.89). Using this approach, only 7.2% (95% confidence interval -7.5% to 19.5%) of deaths in the intensive care unit were attributable to delirium, with an absolute mortality excess in patients with delirium of 0.9% (95% confidence interval -0.9% to 2.3%) by day 30. In post hoc analyses, however, delirium that persisted for two days or more remained associated with a 2.0% (95% confidence interval 1.2% to 2.8%) absolute mortality increase. Furthermore, competing risk analysis showed that delirium of any duration was associated with a significantly reduced rate of discharge from the intensive care unit (cause specific hazard ratio 0.65, 95% confidence interval 0.55 to 0.76).ConclusionsOverall, delirium prolongs admission in the intensive care unit but does not cause death in critically ill patients. Future studies should focus on episodes of persistent delirium and its long term sequelae rather than on acute mortality.Trial registration Clinicaltrials.gov NCT01905033.

Project description:ObjectiveTo characterise the clinical course of delirium for patients with COVID-19 in the intensive care unit, including postdischarge neuropsychological outcomes.DesignRetrospective chart review and prospective survey study.SettingIntensive care units, large academic tertiary-care centre (USA).ParticipantsPatients (n=148) with COVID-19 admitted to an intensive care unit at Michigan Medicine between 1 March 2020 and 31 May 2020 were eligible for inclusion.Primary and secondary outcome measuresDelirium was the primary outcome, assessed via validated chart review method. Secondary outcomes included measures related to delirium, such as delirium duration, antipsychotic use, length of hospital and intensive care unit stay, inflammatory markers and final disposition. Neuroimaging data were also collected. Finally, a telephone survey was conducted between 1 and 2 months after discharge to determine neuropsychological function via the following tests: Family Confusion Assessment Method, Short Blessed Test, Patient-Reported Outcomes Measurement Information System Cognitive Abilities 4a and Patient-Health Questionnaire-9.ResultsDelirium was identified in 108/148 (73%) patients, with median (IQR) duration lasting 10 (4-17) days. In the delirium cohort, 50% (54/108) of patients were African American and delirious patients were more likely to be female (76/108, 70%) (absolute standardised differences >0.30). Sedation regimens, inflammation, delirium prevention protocol deviations and hypoxic-ischaemic injury were likely contributing factors, and the most common disposition for delirious patients was a skilled care facility (41/108, 38%). Among patients who were delirious during hospitalisation, 4/17 (24%) later screened positive for delirium at home based on caretaker assessment, 5/22 (23%) demonstrated signs of questionable cognitive impairment or cognitive impairment consistent with dementia and 3/25 (12%) screened positive for depression within 2 months after discharge.ConclusionPatients with COVID-19 commonly experience a prolonged course of delirium in the intensive care unit, likely with multiple contributing factors. Furthermore, neuropsychological impairment may persist after discharge.

Project description:BackgroundCOVID-19 has been a devastating pandemic with little known of its neuropsychiatric complications. Delirium is 1 of the most common neuropsychiatric syndromes among hospitalized cancer patients with incidence ranging from 25% to 40% and rates of up to 85% in the terminally ill. Data on the incidence, risk factors, duration, and outcomes of delirium in critically ill cancer patients with COVID-19 are lacking.ObjectiveTo report the incidence, riaks and outcomes of critically ill cancer patients who developed COVID-19.MethodsThis is a retrospective single-center study evaluating delirium frequency and outcomes in all critically ill cancer patients with COVID-19 admitted between March 1 and July 10, 2020. Delirium was assessed by Confusion Assessment Method for Intensive Care Unit, performed twice daily by trained intensive care unit (ICU) nursing staff. Patients were considered to have a delirium-positive day if Confusion Assessment Method for Intensive Care Unit was positive at least once per day.ResultsA total of 70 patients were evaluated. Of those 70, 53 (75.7%) were found to be positive for delirium. Patients with delirium were significantly older than patients without delirium (median age 67.5 vs 60.3 y, P = 0.013). There were no significant differences in demographic characteristics, chronic medical conditions, neuropsychiatric history, cancer type, or application of prone positioning between the 2 groups. Delirium patients were less likely to receive cancer-directed therapies (58.5% vs 88.2%, P = 0.038) but more likely to receive antipsychotics (81.1% vs 41.2%, P = 0.004), dexmedetomidine (79.3% vs 11.8%, P < 0.001), steroids (84.9% vs 58.8%, P = 0.039), and vasopressors (90.6% vs 58.8%, P = 0.006). Delirium patients were more likely to be intubated (86.8% vs 41.2%, P < 0.001), and all tracheostomies (35.9%) occurred in patients with delirium. ICU length of stay (19 vs 8 d, P < 0.001) and hospital length of stay (37 vs 12 d, P < 0.001) were significantly longer in delirium patients, but there was no statistically significant difference in hospital mortality (43.4% vs 58.8%, P = 0.403) or ICU mortality (34.0% vs 58.8%, P = 0.090).ConclusionsDelirium in critically ill cancer patients with COVID-19 was associated with less cancer-directed therapies and increased hospital and ICU length of stay. However, the presence of delirium was not associated with an increase in hospital or ICU mortality.

Project description:BackgroundA subset of critically ill COVID-19 patients develop a hyperinflammatory state. Anakinra, a recombinant interleukin-1 receptor antagonist, is known to be effective in several hyperinflammatory diseases. We investigated the effects of anakinra on inflammatory parameters and clinical outcomes in critically ill, mechanically ventilated COVID-19 patients with clinical features of hyperinflammation.MethodsIn this prospective cohort study, 21 critically ill COVID-19 patients treated with anakinra were compared to a group of standard care. Serial data of clinical inflammatory parameters and concentrations of multiple circulating cytokines were determined and aligned on start day of anakinra in the treatment group, and median start day of anakinra in the control group. Analysis was performed for day - 10 to + 10 relative to alignment day. Clinical outcomes were analyzed during 28 days. Additionally, three sensitivity analyses were performed: (1) using propensity score-matched groups, (2) selecting patients who did not receive corticosteroids, and (3) using a subset of the control group aimed to match the criteria (fever, elevated ferritin) for starting anakinra treatment.ResultsBaseline patient characteristics and clinical parameters on ICU admission were similar between groups. As a consequence of bias by indication, plasma levels of aspartate aminotransferase (ASAT) (p = 0.0002), ferritin (p = 0.009), and temperature (p = 0.001) were significantly higher in the anakinra group on alignment day. Following treatment, no relevant differences in kinetics of circulating cytokines were observed between both groups. Decreases of clinical parameters, including temperature (p = 0.03), white blood cell counts (p = 0.02), and plasma levels of ferritin (p = 0.003), procalcitonin (p = 0.001), creatinine (p = 0.01), and bilirubin (p = 0.007), were more pronounced in the anakinra group. No differences in duration of mechanical ventilation or ICU length of stay were observed between groups. Sensitivity analyses confirmed these results.ConclusionsAnakinra is effective in reducing clinical signs of hyperinflammation in critically ill COVID-19 patients. A randomized controlled trial is warranted to draw conclusion about the effects of anakinra on clinical outcomes.

Dataset Information

Delirium and Catatonia in Critically Ill Patients: The Delirium and Catatonia Prospective Cohort Investigation.

Publications

Delirium and Catatonia in Critically Ill Patients: The Delirium and Catatonia Prospective Cohort Investigation.

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