Presence Of Delirium Research Articles

Delirium and risk of incident cardiovascular events in elderly: data from a global health research network

Abstract Introduction Delirium is a common complication of acute medical disorders. A strong association between cardiovascular events and the occurrence of delirium has been recorded. Thus far, no data are available regarding the risk of incident cardiovascular events after delirium onset in older adults. Methods Using data from TriNetX, a global health federated research network, we performed a propensity score matched (PSM) analysis of older adults (age ≥65 years) admitted to the emergency department (ED) reporting delirium within two weeks, who were compared with those without delirium. We evaluated the occurrence of a composite outcome of cardiovascular events (myocardial infarction, ischemic stroke, heart failure, intracranial haemorrhage, ventricular arrhythmias, takotsubo syndrome, and atrial fibrillation) at 30 days and 1 and 3 years of follow-up. Results 4,480,229 patients were retrieved for the analysis, and 82,693 (1.8%) reported delirium. Before PSM, patients reporting delirium were older, with more prevalent comorbidities. After PSM, a total of 165,386 patients were included in the analysis (mean (SD) age 76.6 (9.0) years, 51.1% females). Throughout the entire follow-up period, the cumulative composite cardiovascular events outcome was significantly higher in patients which reported delirium [Red Line, Figure 1]. Delirium was associated with cardiovascular events at 30 days (HR 1.96, 95% CI 1.92-2.00) ,1 year (HR 1.75, 95% CI 1.72-1.78) and 3 years (HR 1.67, 95% CI 1.64-1.69) of follow-up, as well as for each of its components (Table 1). The presence of delirium was also associated with a higher risk of all-cause death and hospital access (Table 1), evaluated as secondary outcomes. In patients with delirium associated with the occurrence of incident cardiovascular events, there was a higher risk of recurrent cardiovascular events at 1 year (HR 3.11, 95% CI 2.92-3.31) and 3 years (HR 2.84, 95% CI 2.67-3.01) of follow-up. Conclusions In a large, unselected cohort of older adults admitted to ED, occurrence of delirium was associated with a higher risk of cardiovascular events, both in the short and long-term follow-up.Figure 1:Delirium and CV EventsTable 1:Cox Regression Analysis

Risk factors for delirium in patients aged 60 years and over with recent myocardial infarction

Abstract Introduction Delirium is a form of acute brain dysfunction and geriatric patients are particularly vulnerable to this health problem. Modifiable and unmodifiable risk factors may influence delirium appearance. Purpose The study aimed to assess the prevalence and characteristic of delirium risk factors in patients ≥ 60 years of age hospitalized due to acute myocardial infarction (AMI). Methods The study included 405 consecutive patients (mean age: 73.1[8.5], males: 248/61.2 %) hospitalized due to AMI divided and characterized according to the in-hospital delirium presence. The following sets of data were analysed: demographic data, length of hospitalization, type of AMI, coronary intervention, multimorbidity, accompanying symptoms, psychiatric conditions, and pharmacotherapy used. Results Of 405 patients, 57 (14%, mean age: 80.9[7.3] years, males: 33/58%) experienced delirium. Patients with delirium were older (80.9[7.3] vs 71.82[8.1] years), all of them presented multimorbidity, they more frequently used polypharmacy (96.5 vs 30.2%) and their hospitalization was longer (8.0[1.4] vs 4.6[1.0] days) as compared to the patients without delirium. Patients with delirium more frequently experience in-hospital reversible problems: periprocedural complications (limited number of radial access, prolonged compression and pain after the procedure, pseudoaneurysm of femoral artery, as well as the following accompanying symptoms: fever (40.4% vs 0.9%), infections (78.9% vs 3.7%), pulmonary oedema (73.7% vs 0.6%), hypoxemia (91.1% vs 98.3%), urinary catheter (96.5% vs 17.2%), dehydration (89.5% vs 6.6%), and insomnia (71.9% vs 0.3%) compared to patients without delirium (Table 1). Delirium was also associated with mild (49.1% vs 0.3%, p<0.0001) and moderate (47.4% vs 9.2%) dementia and symptoms of mild depression (59.6% vs 2.3%) (P<0.0001 for all). Valvular heart disease (OR=4.78; 95%CI: 1.10-2.70; p<0.0001, pulmonary oedema (OR=66.79; 95%CI: 12.04-370.34, p<0.001), and dehydration (OR=37.26; 95%CI: 10.50-132.27, p<0.001) were risk factors for delirium occurrence. Analysis of all factors related to delirium revealed that the coexistence of ≥ 11 concerned 44% of the delirium population (Table 1). Conclusions The in-hospital course of AMI is complicated by delirium occurrence in 14% of patients ≥ 60 years old. Multimorbidity and polypharmacy regard most of the subjects with delirium. The potent reversible complications of the in-hospital course of AMI associated with delirium should be recognized and limited to prevent this problem.Table1.Number of delirium risk factors.

Clinician and Visitor Activity Patterns in an Intensive Care Unit Room: A Study to Examine How Ambient Monitoring Can Inform the Measurement of Delirium Severity and Escalation of Care.

The early detection of the acute deterioration of escalating illness severity is crucial for effective patient management and can significantly impact patient outcomes. Ambient sensing technology, such as computer vision, may provide real-time information that could impact early recognition and response. This study aimed to develop a computer vision model to quantify the number and type (clinician vs. visitor) of people in an intensive care unit (ICU) room, study the trajectory of their movement, and preliminarily explore its relationship with delirium as a marker of illness severity. To quantify the number of people present, we implemented a counting-by-detection supervised strategy using images from ICU rooms. This was accomplished through developing three methods: single-frame, multi-frame, and tracking-to-count. We then explored how the type of person and distribution in the room corresponded to the presence of delirium. Our designed pipeline was tested with a different set of detection models. We report model performance statistics and preliminary insights into the relationship between the number and type of persons in the ICU room and delirium. We evaluated our method and compared it with other approaches, including density estimation, counting by detection, regression methods, and their adaptability to ICU environments.

Projection of visual material on postoperative delirium in patients undergoing cardiac surgery: A double blind randomized clinical trial.

Postoperative delirium is a neurobehavioral disorder that can appear after surgery. It is characterized by an altered level of consciousness and impaired cognitive function. The aim of this study was to evaluate the impact of visual projection of images of relatives or loved ones in patients undergoing cardiac surgery in the immediate postoperative period, and its influence on the incidence and development of postoperative delirium. A randomized, double-blind clinical trial was designed in the immediate postoperative period of adult patients undergoing cardiac surgery. Consolidated Statement of Reporting Trials guidelines were followed. A control group (CG) and an intervention group (IG) were established. In the IG, the patients underwent a visual projection, while the usual unit treatment was carried out with the CG. Sociodemographic, anthropometric, anesthetic, and surgical variables were also recorded. The postoperative delirium assessment scale used was the confusion assessment method for diagnosing delirium in intensive care unit patients. Information was collected from 104 patients undergoing cardiac surgery. Most of the patients included in the study were men (66.35%) and the most performed surgical intervention was aortic valve replacement (34.62%). In the CG, positive patients in postoperative delirium increased from 19.23% to 25%, while in the IG they decreased from 5.77% to 1.92%. The logistic regression analysis presents a prediction model where the variables that influence the model are gender and group membership, meaning that being female and belonging to the IG significantly reduce the presence of delirium. The projection of visual material reduced the incidence of postoperative delirium in patients undergoing cardiac surgery, although it cannot be established that it is effective as a treatment once the pathology is already established.

Recognition and Management of Delirium in the Neonatal Intensive Care Unit: Case Series From a Single-Center Level 4 Intensive Care Unit.

Delirium often goes unrecognized in neonates and children because of lack of experience in evaluating behavior and cognition, insufficient awareness of the prevalence, and nondistinctive symptoms in this population. Although there are increasing reports of the presence of delirium in neonates, there are few data to guide the pharmacologic treatment in this population. In this retrospective single-center case series, we present our experience using quetiapine to treat delirium in 9 medically complex neonates. Based on an extensive literature review, expert opinion, and institutional experience, we propose an approach for monitoring and treating delirium in neonates and infants.

Effect of the nurse-led Hospital Elder Life Program on delirium reduction among delirious patients with COVID-19: A randomized clinical trial.

Infectious diseases, such as COVID-19, are high-risk factors for delirium. However, the implementation of nonpharmacological interventions faces major challenges during an infectious disease pandemic. To evaluate the effect of the nurse-led Hospital Elder Life Program (NL-HELP) on delirium reduction among delirious patients with COVID-19. A single-blind randomized clinical trial. This study recruited 122 delirious patients with COVID-19 from internal medicine wards at West China Hospital in China between January 30 and March 31, 2023. Participants were randomized to the NL-HELP group (n = 62) or the usual care group (n = 60). Patients in the intervention group received the NL-HELP protocol three times daily for 7 days. Patients in the control group received usual care. The primary outcome was the absence/presence of delirium during the intervention period measured by the 3-min Diagnostic Confusion Assessment Method. Fewer patients remained delirious in the NL-HELP group than in the control group. There were significantly more delirium-free days in the NL-HELP group than in the usual care group. There were no statistically significant differences between the two groups in terms of delirium severity, length of hospital stay, delirium at 30 days after discharge, 30-day readmission, 30-day mortality, physical function or quality of life. This study demonstrated that NL-HELP could reduce the presence of delirium in delirious patients. No effect was observed in terms of shortening the length of hospital stay, reducing 30-day mortality, or improving quality of life. NL-HELP may be effective in reducing the presence of delirium in delirious patients. Further research is needed to determine whether the NL-HELP can improve patient outcomes (e.g. mortality and quality of life) in a larger study. Caregivers of delirious patients were invited to provide intervention strategies to prevent or abate delirium, including environmental management, orientation communications and identification of alert signs. This study was prospectively registered at the Chinese Clinical Trial Registry (https://www.chictr.org.cn/) Identifier: ChiCTR2300067874.

Efficacy of Continuous Infusion Ketamine for Analgosedation in the Medical Intensive Care Unit: A Propensity-Weighted Analysis

Background: Few randomized controlled trials have evaluated the use of ketamine vs opiate-based analgosedation. Methods: A retrospective cohort analysis of 169 mechanically ventilated patients admitted to the medical intensive care unit (MICU) at an academic medical center was conducted to evaluate efficacy of ketamine vs opiate-based analgosedation by comparing the percentage of time within target sedation range. The primary outcome was percentage of time within target sedation range (RASS -1 to +1) within first 72 hours of primary sedation initiation. Secondary outcomes including percentage of time under-sedated, over-sedated, and in coma; use of concomitant analgesic, sedative, and antipsychotic agents; presence of delirium; percentage of CPOT scores at goal; and hemodynamic effects were also evaluated. Results: After weighting, the mean percentage of time at RASS goal for ketamine patients was 43.0% compared to 41.4% for opiate-based sedation patients. Ketamine was not significantly non-inferior to opiate-based sedation for the mean percentage of time at RASS goal (P = .11). The median percentage of CPOT scores at goal was 13.3% higher in the ketamine group (P = .042). Patients in the ketamine group received significantly less additional sedative agents than the patients in the opiate-based sedation group. Conclusion: A similar percent of time at RASS goal was found for the ketamine analgosedation group compared to the opiate-based sedation group, although this did not reach statistical signicance for non-inferiority due to lack of statistical power. This study found a higher percentage of CPOT scores within goal with less additional sedative agents required compared to an opiate-based sedation regimen.

Prevalence and Determinants of Postischemic Stroke Cognitive Impairment in Older Persons

Abstract Background: It is essential to identify the burden of poststroke cognitive impairment (PSCI) and to frame strategies for its prevention and progression in a developing country. Aim: The aim of the study was to estimate the prevalence and identify the risk factors of PSCI in older persons who survived an ischemic stroke. Materials and Methods: Patients with acute stroke satisfying the inclusion criteria were recruited. Clinical and demographic data, baseline functional capacity, and cognition as assessed by the Barthel index and the Informant Questionnaire on Cognitive Decline in the Elderly, respectively, were collected. The patients were then administered the Confusion Assessment Method, Mini-Cog, Montreal Cognitive Assessment (MoCA), and Frontal Assessment Battery within the 1st week of stroke and were reassessed at 1 month. The diagnosis of PSCI was done based on MoCA score within 1 week and at 1 month after stroke, and the analysis of risk factors for PSCI was done based on MoCA score at 1 month. Results: The prevalence of PSCI in this study was 63.8% within the 1st week and 71.8% at 1 month after the stroke. Lower educational and occupational status, higher Charlson Comorbidity Index, presence of delirium during the 1st week after stroke, poststroke depression, higher National Institutes of Health Stroke Scale score, and higher Modified Rankin Scale score were found to be risk factors for the development of PSCI on univariate analysis. Lower socioeconomic status was found to be a risk factor on both univariate and multivariate analyses. Conclusion: The prevalence of PSCI was 71.8% at 1 month after stroke. Lower socioeconomic status was found to be a risk factor for PSCI. Larger studies are needed to identify various modifiable risk factors, to improve the quality of life in older stroke survivors.

Neurological diagnostic tests for patients with and without delirium: a prospective observational study.

Since most of the precipitating factors of delirium are not due to neurological disorders, neurological diagnostic tests (NDTs) may be of limited value. We hypothesized that delirium has a high burden of NDTs with a low diagnostic yield. All patients admitted to the internal medicine wards of a single secondary teaching hospital between November 2019 and January 2020 were eligible. Within the first 48 h of their admission, they had a formal evaluation by a neuropsychologist to screen for presence of delirium. NDTs (brain MRI, brain CT, electroencephalography (EEG), and lumbar puncture) performed during the hospital stay were compared between patients with and without delirium using a logistic regression model stratified by a propensity score. The proportions of diagnostic yield (acute anomalies that changed the treatment management) provided by each type of examination were compared. Of 217 patients included, 19/32 patients (61%) with delirium had one or more NDTs, compared to 48/185 (26%) without delirium (adjusted OR 2.7; 95%CI 1.1-6.7; p = 0.027). The proportions of NDT results affecting management for patients with and without delirium were 13 and 20% for brain CT scans (p = 0.71), 29 and 38% for brain MRI (p = 0.99), and 20 and 10% for EEGs (p = 0.99), respectively. The higher proportion of NDTs performed on patients with delirium was associated with a low diagnostic yield, although not statistically different from those performed among inpatients without delirium. There is a need for restrictive, evidence-based guidelines to help with the work-up for patients with delirium.

Platelet Bioenergetics and Associations With Delirium and Coma in Patients With Sepsis: A Prospective Cohort Study

BackgroundAcute brain dysfunction during sepsis, which manifests as delirium or coma, is common and associated with multiple adverse outcomes including longer periods of mechanical ventilation, prolonged hospital stays, and increased mortality. Delirium and coma during sepsis may be manifestations of alteration in systemic metabolism. Since access to brain mitochondrial is a limiting factor, measurement of peripheral platelet bioenergetics offers a potential opportunity to understand metabolic changes associated with acute brain dysfunction during sepsis. Research QuestionAre altered platelet mitochondrial bioenergetics associated with acute brain dysfunction during sepsis? Study Design and MethodsWe assessed participants with critical illness in the ICU for the presence of delirium or coma via validated assessment measures. Blood samples were collected and processed to isolate and measure platelet mitochondrial oxygen consumption. We used Seahorse extracellular flux to directly measure baseline, proton leak, maximal oxygen consumption rate, and extracellular acidification rate. We calculated ATP-linked, spare respiratory capacity, and non-mitochondrial oxygen consumption rate from the measured values. ResultsMaximal oxygen consumption was highest in patients with coma, as was spare respiratory capacity and ECAR in unadjusted analysis. After adjusting for age, sedation, modified Sequential Organ Failure Assessment (SOFA) without the neurological component, and pre-existing cognitive function, increased spare respiratory capacity remained associated with coma. Delirium was not associated with any platelet mitochondrial bioenergetics. InterpretationIn this single-center, exploratory, prospective cohort study, we found increased platelet mitochondrial spare respiratory capacity was associated with coma in patients with sepsis. Future studies powered to determine any relationship between delirium and mitochondrial respiration bioenergetics are needed.

Recognition and Management of Delirium in the Neonatal Intensive Care Unit: Case Series From a Single-Center Level IV Intensive Care Unit.

Delirium often goes unrecognized in neonates and children because of lack of experience in evaluating behavior and cognition, insufficient awareness of the prevalence, and nondistinctive symptoms in this population. Although there are increasing reports of the presence of delirium in neonates, there are little data to guide the pharmacologic treatment in this population. In this retrospective single-center case series, we present our experience using quetiapine to treat delirium in 9 medically complex neonates. Based on an extensive literature review, expert opinion, and institutional experience, we propose an approach for monitoring and treating delirium in neonates and infants.

Burden of delirium on mortality and healthcare resource utilization in geriatric patients hospitalized for inflammatory bowel disease

Background Delirium is prevalent in elderly patients, linked to elevated mortality rates, heightened healthcare resource use, and caregiver burden. Inflammatory bowel disease (IBD) poses various delirium risk factors, yet the impact on geriatric IBD patient outcomes remains unexplored. Methods Using 2016–2019 National Inpatient Sample data, we identified ≥65-year-old patients admitted for IBD (Crohn’s, ulcerative colitis) management stratified by delirium presence as a secondary diagnosis. The study aimed to assess delirium’s impact on geriatric IBD patient outcomes. Results Among 67,534 elderly IBD admissions, 0.7% (470) developed delirium. The delirium group had a 4.8-fold increase in in-hospital mortality risk (odds ratio 4.80, P < 0.001, 95% confidence interval [CI] 1.94–11.8). IBD patients with delirium experienced prolonged length of stay (adjusted mean difference 5.15 days, 95% CI 3.24–7.06, P < 0.001) and increased care costs (adjusted mean difference $48,328, 95% CI $26,485–$70,171, P < 0.001) compared to those without delirium. Conclusion Elderly IBD patients with delirium face higher mortality risk, prolonged hospitalization, and increased healthcare costs. Clinicians should recognize delirium’s detrimental effects in this vulnerable group and adhere to preventive protocols for improved care.

Two months outcomes following delirium in the pediatric intensive care unit.

The lasting consequences of delirium in children are not well characterized. This study aimed to compare the two-month outcomes in pediatric intensive care unit (PICU) survivors according to the presence of delirium. Post-hoc analysis of a single-center prospective study of mechanically ventilated (invasive ventilation or non-invasive ventilation) children followed at the CHU Sainte-Justine PICU follow-up clinic two months after PICU discharge, between October 2018 and August 2022. Delirium was defined as one or more Cornell Assessment of Pediatric Delirium (CAPD) scores ≥ 9. Primary outcome was survivors' quality of life and secondary outcomes were sleep and posttraumatic stress and anxiety and depression in parents. Multivariable linear and logistic regression models assessed the independent associations between delirium and outcomes while adjusting for age, sex, comorbidity, diagnosis, severity of illness, PICU length of stay, and invasive mechanical ventilation. Of the 179 children included over a 47 month-period, 117 (65.4%) had delirium. Children with delirium were more commonly intubated (91.5% vs. 30.7%, p < 0.001) and had higher PELOD-2 scores (10 vs. 4, p < 0.001). On multivariable analysis, delirium was associated with a decreased quality of life at 2.3 months post discharge (p = 0.03). The severity of the delirium episode (higher scores of CAPD) was associated with a higher likelihood of sleep disturbances (OR 1.13, p = 0.01) and parental anxiety (OR 1.16, p = 0.01), in addition to lower quality of life (p = 0.03).Conclusions: Two months following their PICU stay, children with delirium had a lower quality of life, suggesting a lasting effect of delirium on children and their families.

The Effect of Dexmedetomidine as a Local Anesthetic Adjuvant for Iliac Fascia Compartment Block on Postoperative Delirium in Elderly Patients Undergoing Elective Hip Surgery

Introduction: We analyzed the effect of dexmedetomidine (DEX) as a local anesthetic adjuvant on postoperative delirium (POD) in elderly patients undergoing elective hip surgery. Methods: In this study, 120 patients undergoing hip surgery were enrolled and randomly assigned to two groups: fascia iliaca compartment block with DEX + ropivacaine (the Y group, n = 60) and fascia iliaca compartment block with ropivacaine (the R group, n = 60). The primary outcomes: presence of delirium during the postanesthesia care unit (PACU) period and on the first day (D1), the second day (D2), and the third day (D3) after surgery. The secondary outcomes: preoperative and postoperative C-reactive protein (CRP) and erythrocyte sedimentation rate (ESR), occurrence of insomnia on the preoperative day, day of operation, D1 and D2; HR values of patients in both groups before iliac fascia block (T1), 30 min after iliac fascia block (T2), at surgical incision (T3), 20 min after incision (T4), when they were transferred out of the operating room (T5) and after leaving the recovery room (T6) at each time point; VAS for T1, PACU, D1, D2; the number of patients requiring remedial analgesics within 24 h after blockade and related complications between the two groups. Results: A total of 97 patients were included in the final analysis, with 11 and 12 patients withdrawing from the R and Y groups, respectively. The overall incidence of POD and its incidence in the PACU and ward were all lesser in the Y group than in the R group (p < 0.05). Additionally, fewer cases required remedial analgesia during the PACU period, and more vasoactive drugs were used for maintaining circulatory system stability in the Y group as compared to the R group (p < 0.05). At the same time, the incidence of intraoperative and postoperative bradycardia in the Y group was higher than that in the R group, accompanied by lower postoperative CRP and ESR (all p < 0.05). Conclusion: Ultrasound-guided high fascia iliaca compartment block with a combination of ropivacaine and DEX can reduce the incidence of POD, the use of intraoperative opioids and postoperative remedial analgesics, and postoperative inflammation in elderly patients who have undergone hip surgery, indicating that this method could be beneficial in the prevention and treatment of POD.

Association of Intravenous Neostigmine and Anticholinergics or Sugammadex with Postoperative Delirium: A Retrospective Cohort Study.

Administration of cholinesterase inhibitors in combination with anticholinergic drugs for reversal of neuromuscular blocks may precipitate delirium through impairment of central cholinergic transmission, which could be avoided by using sugammadex. Therefore, we tested the primary hypothesis that postoperative delirium is less common when neuromuscular block is reversed with sugammadex than with neostigmine combined with glycopyrrolate or atropine. We conducted a single-center retrospective cohort study, analyzing all adult patients having general anesthesia for noncardiac surgery who received neostigmine or sugammadex from January 2016 to March 2022. Inverse propensity score weighting and propensity score calibration were used to adjust for appropriate confounders. Our primary outcome was presence of delirium within the first 4 days after surgery, defined as at least 1 positive brief Confusion Assessment Method (bCAM) screening. The secondary outcome was the presence of early delirium within 24 hours of surgery. Among 49,468 cases in our analysis, 6881 received sugammadex and 42,587 received neostigmine. After propensity weighting, the incidence of delirium was 1.09% in the sugammadex group and 0.82% in the neostigmine group. The odds of postoperative delirium did not differ between the sugammadex and neostigmine groups, with an estimated odds ratio (95% confidence interval) of 1.33 (0.91-1.95), P = .147. A sensitivity analysis restricted to only include cases with at least 6 bCAM measurements over postoperative day (POD) 1 to 4 had consistent results, as sugammadex compared with neostigmine was associated with an estimated odds ratio for postoperative delirium of 1.20 (0.82-1.77), P = .346. Sugammadex was significantly associated with an increased incidence of early postoperative delirium, with an estimated odds ratio of 1.71 (1.07-2.72), P = .025. Further analysis showed no treatment-by-age interaction for either postoperative delirium (P = .637) or postoperative early delirium (P = .904). Compared to neostigmine, use of sugammadex for reversal of neuromuscular block was not associated with an increased risk of postoperative delirium in this retrospective single-center study. Though sugammadex was associated with a statistically significant increased risk of postoperative early delirium, the difference was small and not clinically relevant, and may reflect the presence of unknown confounders.

The barriers to and facilitators of implementing early mobilisation for patients with delirium on intensive care units: A systematic review.

Early mobilisation of critically ill patients remains variable across practice. This study set out to determine barriers to and facilitators of early mobilisation for patients diagnosed with delirium in the intensive care unit (ICU). A mixed-methods descriptive systematic review. Electronic databases (AMED, BNI, CINAHL Plus, Cochrane Library, Medline and EMBASE) were searched for publications up to 22nd December 2021. Independent reviewers screened studies and extracted data using Covidence Systematic Review Management software. Data were summarised according to frequency (n/%) of barriers and facilitators. Thematic analysis of qualitative studies was carried out in order to address the secondary aim. Quantitative studies were assessed using the GRADE quality assessment tool. Qualitative studies were analysed according to the GRADE-CERQual quality assessment tool. This study was prospectively registered on PROSPERO (CRD 42021227655). Ten studies met the inclusion criteria. Quantitative findings demonstrated the presence of delirium was the most common reported barrier to early mobilisation. The most common facilitator was ICU staff experience of positive outcomes as a result of early mobilisation interventions. Thematic analysis identified six main themes that may describe potential meanings behind these findings: (1) knowledge, (2) personal preferences, (3) perceived burden of delirium, (4) perceived complexity, (5) decision-making and (6) culture. These findings highlight the reported need to further understand the impact and value of early mobilisation as a non-pharmacological intervention for patients diagnosed with delirium in ICU. Evaluation of early mobilisation interventions involving key stakeholders may address these concerns and provide effective implementation strategies.

Impact of Prefracture Cognitive Impairment and Postoperative Delirium on Recovery after Hip Fracture Surgery

ObjectivesThis study aimed to examine the impact of prefracture cognitive impairment (CI) severity and postoperative delirium on recovery after hip fracture surgery in older patients. DesignProspective study with a 1-year follow-up. Setting and ParticipantsWe included 355 patients aged ≥80 years from 2 acute hospitals in Japan. MethodsBarthel Index (BI) ambulation scores were assessed prefracture and at 1, 3, 6, and 12 months postoperatively. The score at each time point minus the prefracture score was used as the ambulation recovery variable. The 21-item Dementia Assessment Sheet for the Community-based Care System (DASC-21) and Confusion Assessment Method were used to assess CI severity and delirium, respectively. The impacts of CI severity and delirium on recovery at 1 month and by 12 months postoperatively were examined. Linear multiple regression and linear mixed effects models were used. ResultsBI ambulation scores remained the same or improved from prefracture levels in 26.8%, 34.4%, 33.0%, and 30.4% of patients at 1, 3, 6, and 12 months, respectively. Ten patients (2.8%) had fall-related hip fractures, 20 (5.6%) were rehospitalized, and 43 (12.1%) died during this period. Although DASC-21 CI severity significantly affected the recovery both at 1 month and by 12 months postoperatively [standardized β (Stdβ) = −0.39, P < .0001, and Stdβ = −0.37, P < .0001, respectively], delirium did not. Other variables affecting recovery by 12 months postoperatively included prefracture BI ambulation scores, Mini Mental State Examination scores, age, fracture type, place of residence, and time. Conclusions and ImplicationsPostoperative ambulation recovery, excluding the effect of death and other poor outcomes, is influenced by prefracture CI severity, and the presence of delirium itself may not be the moderating variable. These results emphasize the importance of treatment planning based on prefracture CI severity and indicate that assessments such as the DASC-21 may be useful in implementing such a plan.

Postprocedural delirium following mechanical thrombectomy for acute ischemic stroke: a retrospective study

IntroductionNational representative estimates on in-hospital delirium after acute ischemic stroke are not well established and there is limited data on the impact of delirium on clinical outcomes following mechanical thrombectomy. We evaluated risk factors for delirium and the impact on outcomes following mechanical thrombectomy for acute ischemic stroke.MethodsThis is a retrospective study of patients who underwent mechanical thrombectomy for acute ischemic stroke at a single tertiary comprehensive stroke center between April 2011 and December 2019. Delirium was assessed using the Confusion Assessment Method for the Intensive Care Unit. Patient characteristics, comorbidities, laboratory data, elapsed times, tissue plasminogen activator use, duration of the procedure, type of anesthesia, National Institute of Health stroke scores (NIHSS), sedation scores, reperfusion grades, complications, length of hospital stay, discharge disposition, and 90-day mortality were evaluated.ResultsFive hundred and two patients were evaluated, and post-procedural delirium was identified in 24/467 (5.1%) patients. Thirty-five patients could not be assessed for delirium due to excessive sedation. The incidence of delirium in white vs. non-white patients &amp;lt;65 years was 5/137 (3.6%) compared to 0/91 (0%), and 7/176 (4.0%) compared to 12/63 (19%) in patients ≥65 years, P = 0.006. Bias reduction multi-variable analysis identified low postprocedural hemoglobin level odds ratio of 0.76 (95% CI 0.61–0.92, P = 0.006), greater age (odds ratio 1.04, 95% CI 1.01–1.009, P = 0.024), and non-white race odds ratio of 2.52 (95% CI 1.06–6.38, P = 0.030) as factors associated with delirium [Brier score = 0.045, C-index = 0.800, and Akaike Information Criterion (AIC) = 174]. General anesthesia was not associated with an increased delirium risk. NIHSS at 24 and 48 h and discharge, length of stay, and 90-day mortality were not different between delirium and no-delirium groups. Delirium patients had a reduced odds ratio of 0.13 (05% CI 0.01–1.00, P = 0.02) for home discharge.DiscussionDelirium following mechanical thrombectomy for acute ischemic stroke primarily affected older patients and was associated with reduced odds of home discharge following hospitalization. Changes in NIHSS during hospitalization and 90-day mortality were not adversely affected by the presence of delirium. General anesthesia was not associated with an increased delirium risk following mechanical thrombectomy.

The Relationship Between Intensive Care Unit (ICU) Delirium Severity and 2-Year Mortality

Background:Delirium is an acute brain dysfunction characterized by altered cognition, attention, and level of consciousness. The presence of delirium is associated with increased risk of mortality, neurocognitive decline, and physical impairment; however, the role of ICU delirium severity in long-term health outcomes is less understood.&#x0D; Objective:Characterize the relationship between delirium severity and mortality risk in ICU survivors 2-years after discharge.&#x0D; Methods:A secondary analysis was performed on patient data collected in two randomized controlled trials (Pharmacological Management of Delirium and Deprescribing in the Pharmacologic Management of Delirium, 2009-2015). Participants received delirium assessments twice daily during hospitalization via the Confusion Assessment Method for the ICU (CAM-ICU-7). Patients enrolled at Eskenazi Hospital with complete mortality data were included in this study. Mean delirium severity was categorized as rapidly resolving (0-2), mild to moderate (2.1-5), or severe (&gt;5). Cox proportional hazard model was used to quantify mortality risk associated with delirium severity. Analyses were adjusted for patient demographics, comorbidities, and severity-of-disease.&#x0D; Results:The cohort (n=434) was 54.6% female and 48.6% African American with an average age of 59.8 (SD 16.4). The admission diagnosis was acute respiratory failure/sepsis in 47.9% of patients across medical (n=272), progressive (n=52), and surgical (n=110) ICU types. Approximately one third of the original cohort (n=143) died within 2 years of index discharge. In the multivariate analysis, patients with severe delirium (&gt;5) had nearly twice the adjusted hazard ratio for 2-year mortality compared to patients with mild-moderate delirium (aHR 2.1 [95% CI, 1.3-3.4] and aHR 1.1 [95% CI, 0.7-1.6], p=0.008).&#x0D; Conclusion:Severe delirium during ICU stay was significantly associated with increased 2-year mortality risk in comparison to mild-moderate (subsyndromal) delirium.&#x0D; Impact:The relationship between delirium severity and 2-year mortality underscores the need for further research on the mechanisms underlying ICU delirium and specific interventions to improve long-term outcomes.

Advancing delirium classification: A clinical notes-based natural language processing-supported machine learning model

ObjectiveThe study of the epidemiology of delirium in hospitalized patients is challenging. We aimed to identify the presence or absence of delirium from clinical text notes using natural language processing (NLP) techniques and machine learning (ML) models. Materials and methodsWe developed a delirium predictive model using 942 clinical notes from hospitalized patients with an ICD-10 delirium hospital discharge code. Moreover, we implemented ML models using a) delirium-suggestive words from an expert-defined dictionary or b) free text in clinical notes. Both strategies considered positive and negative delirium-associated words. ResultsAt the note level, for the dictionary method, the logistic regression model achieved an area under the receiver-operating curve (AUROC) of 0.917 for positive words and 0.914 for combined positive and negative words. The areas under the precision-recall curve (AUPR) were 0.893 and 0.897, respectively. For the free-text method, the model achieved an AUROC of 0.826 and 0.830 and AUPR of 0.852 and 0.856, respectively. DiscussionNLP-based ML models accurately identified the presence of delirium in clinical notes. The dictionary-based method was superior to the free-text method. The use of negative features improved performance in both methods. ConclusionOur proposed NLP-based ML model identified delirium in clinical notes. This model could automatically screen millions of notes and facilitate the study of the epidemiology of in-hospital delirium.