Perioperative dexmedetomidine-induced delirium in a patient with schizophrenia: a case report.

BACKGROUND: Dexmedetomidine is a selective α2 receptor agonist with sedative, analgesic, anxiolytic, and anti-sympathetic effects. Dexmedetomidine is widely used for various surgical procedures performed under general anaesthesia and sedation in the intensive care unit. Dexmedetomidine was known to relieve or improve the symptoms of delirium. Schizophrenia is a common psychiatric disease, and the number of surgical patients with schizophrenia is increasing gradually. Dexmedetomidine-induced delirium in patients with schizophrenia is a particular case. CASE PRESENTATION: This patient was a 75-year-old woman (height: 156 cm; weight: 60 kg) with a 5-year history of schizophrenia. Her schizophrenia was well controlled with medications. She was scheduled for open reduction and internal fixation for a patellar fracture. Spinal anaesthesia was administered for surgery, and dexmedetomidine was administered intravenously to maintain sedation. The patient became delirious half an hour after the surgery began. The intravenous infusion of dexmedetomidine was discontinued immediately, intravenous propofol was subsequently administered, and the patient stopped experiencing dysphoria and fell asleep. After surgery, the patient stopped using propofol and recovered smoothly. She was transferred back to the general ward and was discharged from the hospital without any abnormal conditions on the 9th day after surgery. CONCLUSIONS: To the best of our knowledge, this is the first report of a patient with schizophrenia who developed delirium during the infusion of a normal dose of dexmedetomidine without an intravenous injection of any other sedative. The exact mechanism causing dexmedetomidine-induced delirium remains unclear, and this adverse reaction is rare and easy to ignore. Clinicians and pharmacists should be vigilant in identifying this condition.

Effect of intra-operative Magnesium sulphate on the occurrence of post-operative delirium and insomnia in patients undergoing lumbar fixation: a randomized controlled trial.

BACKGROUND: Over the last two decades, a large body of literature has focused on studying the prevalence and outcome of the postoperative delirium and sleep disturbance. The aim of this work was to evaluate the effect of intraoperative administration of Magnesium sulphate on the occurrence of post-operative delirium and insomnia in patients undergoing lumbar fixation. METHODS: This prospective randomized controlled trial was carried out on 80 patients indicated for lumbar fixation; 40 of them received conventional general anesthesia with extra administration of intraoperative magnesium sulphate (Mg sulphate group), and the other 40 received conventional general anesthesia only (control group). Both groups were submitted to pre-operative assessment of depression using Beck Depression inventory (BDI) scale, pre-operative assessment of fatigue using a fatigue questionnaire, pre- and post-operative assessment of insomnia using Insomnia severity index (ISI), post-operative assessment of delirium using Memorial delirium assessment scale (MDAS), post-operative assessment of pain using Visual Analogue Scale (VAS), and pre- and post-operative Quantitative electroencephalography (QEEG). RESULTS: Mg sulphate administration, age, pre-operative BDI, pre-operative ISI, and post-operative VAS were independent predictors of post-operative ISI (P-value < 0.001, 0.047, 0.021, < 0.001, and < 0.001 respectively). Age and post-operative VAS were independent predictors of post-operative MDAS (P-value = 0.008, 0.013 respectively). Mg sulphate administration and pre-operative ISI were independent predictors of post-operative VAS (P-value = 0.010, 0.006 respectively). CONCLUSION: There was a significant relationship between intraoperative Mg sulphate administration and both post-operative insomnia and pain in unadjusted and adjusted analysis.

Role of the circRNA_34414/miR-6960a-5p/SIRT3 axis in postoperative delirium via CA1 Vglut1+ neurons in older mice.

AIMS: Postoperative delirium (POD) is a common neurological complication in elderly patients after anesthesia/surgery. The main purpose of this study is to explore the effect of circRNA-targeted miRNA regulating SIRT3 on mitochondrial function through ceRNA mechanism under the surgical model of tibial fracture and to further explore the potential mechanism of postoperative delirium mediated by circRNA, so as to provide new ideas for clinical diagnosis and prevention of POD. METHODS: The surgical model of tibial fracture under sevoflurane anesthesia caused acute delirium-like behavior in elderly mice. We observed that the decrease of SIRT3 and mitochondrial dysfunction was related to POD, and miRNA and circRNA (circRNA_34414) related to SIRT3 were further studied. Through luciferase and RAP, we observed that circRNA_34414, as a miRNA sponge, was involved in the regulation of SIRT3 expression. RESULTS: Postoperative delirium in elderly mice showed decreased expression of hippocampal circRNA_34414, increased expression of miR-6960-5p, decreased expression of SIRT3, and impaired mitochondrial membrane potential. Overexpression of circRNA_34414, or knockdown of miR-6960-5p, or overexpression of SIRT3 in hippocampal CA1 glutamatergic neurons significantly upregulated hippocampal SIRT3 expression, increased mitochondrial membrane potential levels, and significantly ameliorated postoperative delirium in aged mice; CircRNA_34414 ameliorates postoperative delirium in mice, possibly by targeting miR-6960-5p to upregulate SIRT3. CONCLUSIONS: CircRNA_34414 is involved in the improvement of postoperative delirium induced by anesthesia/surgery by upregulating SIRT3 via sponging miR-6960-5p.

Incidence and related risk factors for postoperative delirium following revision total knee arthroplasty: a retrospective nationwide inpatient sample database study.

BACKGROUND: Postoperative delirium (POD) is a common surgical complication. However, the incidence and risk factors associated with postoperative delirium after revision total knee arthroplasty (rTKA) have not been comprehensively explored through extensive national databases. METHODS: Utilizing the National Inpatient Sample (NIS), the largest comprehensive U.S. hospital healthcare database, we undertook a retrospective investigation involving 127,400 patients who underwent rTKA between 2010 and 2019. We assessed various aspects, including patient demographics, hospital characteristics, pre-existing medical conditions, and perioperative complications. RESULTS: The overall incidence of postoperative delirium (POD) in patients undergoing rTKA between 2010 and 2019 was 0.97%. The highest incidence rate of 1.31% was recorded in 2013. Notably, this patient cohort demonstrated advanced age, increased burden of co-morbidities, prolonged hospital stays, increased hospitalization costs, and elevated in-hospital mortality rates (P < 0.001). Moreover, non-elective admissions, non-private insurance payments, and a preference for teaching hospitals were commonly observed among these patients. During their hospitalization, individuals who developed delirium subsequent to rTKA were more prone to experiencing certain perioperative complications. These complications encompassed medical issues like acute myocardial infarction, continuous invasive mechanical ventilation, postoperative shock, sepsis, stroke and other medical problems. Additionally, surgical complications including hemorrhage / seroma / hematoma, irrigation and debridement, prosthetic joint infection, periprosthetic fracture, and wound dehiscence / nonunion were noted. Several risk factors were found to be linked with the development of POD. These included advanced age (≥ 75 years), alcohol abuse, coagulation disorders, congestive heart failure, depression, fluid and electrolyte imbalances, and more. Conversely, female sex, having private insurance, and undergoing elective hospitalization emerged as protective factors against POD. CONCLUSION: Our findings suggest that the general prevalence of POD in rTKA is relatively low according to NIS. There was a significant connection between the POD of rTKA and advanced age, prolonged length of stay (LOS), more in-patients' costs, higher in-hospital mortality rate, increased comorbidities, postoperative medical complications and postoperative surgical complications. This study helps to understand the risk factors associated with POD to improve poor outcomes.

Association of postoperative delirium with hypotension in critically ill patients after cardiac surgery: a prospective observational study.

BACKGROUND: Postoperative delirium (POD), an acute and variable disturbance in cognitive function, is an intricate and elusive phenomenon that occurs after cardiac surgery. Despite progress in surgical techniques and perioperative management, POD remains a formidable challenge, imposing a significant burden on patients, caregivers, and healthcare systems. METHODS: This prospective observational study involved 307 patients who underwent cardiac surgery. Data on the occurrence of delirium, clinical parameters, and postoperative characteristics were collected. A multivariate analysis was performed to assess the relationship between POH and POD. RESULTS: Sixty-one patients (21%) developed delirium, with an average onset of approximately 5 days postoperatively and a duration of approximately 6 days. On multivariate analysis, POH was significantly associated with POD, and the adjusted odds ratios indicated that patients with POH were more likely to develop delirium (OR, 5.61; p = 0.006). Advanced age (OR, 1.11; p = 0.002), emergency surgery (OR, 8.31; p = 0.001), and on-pump coronary artery bypass grafting were identified as risk factors of POD. Patients who developed delirium were typically older, more likely to be male, and had higher morbidity rates than those who did not. CONCLUSION: POH is significantly associated with delirium in critically ill patients after cardiac surgery. Surgical complexity and advanced age contribute to the risk of developing POD and poor postoperative outcomes.

Predictive factors for the duration of subsyndromal delirium in the intensive care unit.

OBJECTIVES: To evaluate the duration of subsyndromal delirium (SSD) in intensive care unit (ICU) patients and the factors associated with SSD duration. METHODS: This retrospective study included adult patients admitted to the ICU of Affiliated Hospital of Nantong University between December 2019 and June 2020. All patients with Richmond Agitation Sedation Scale scores of ≥-2 were evaluated every 8 h using the confusion assessment method of the intensive care unit (CAM-ICU) until the patients with SSD were negative, progressed to delirium, fell into a coma, died, or were discharged from the ICU. Multivariable Cox regression analyses were performed to determine the factors associated with SSD duration. RESULTS: Of the 388 patients, 53.6% had SSD, and 20.7% progressed from SSD to delirium. The duration of SSD ranged from 8 to 248 h, and the median duration was 48 h (interquartile range, 24-72). Age (hazard ratio [HR] = 0.985, 95% confidence interval [CI], 0.971-0.999, p = 0.035), surgery or not (HR = 0.514; 95% CI, 0.310-0.850; p = 0.010), duration of ventilation (HR = 1.003; 95% CI, 1.000-1.006; p = 0.044), duration of hypoxia (HR = 0.212; 95% CI, 0.103-0.438; p < 0.001), and adapted cognitive exam scores (HR = 1.057; 95% CI, 1.030-1.085; p < 0.001) were independently associated with the duration of SSD. CONCLUSIONS: The duration of SSD was associated with age, surgery, duration of ventilation, duration of hypoxia, and cognitive function. SSD has a high incidence among ICU patients, and many patients progress to delirium. PATIENT OR PUBLIC CONTRIBUTION: The study team met with public members of the evaluation teams throughout the project in a series of workshops. Workshops informed study design, data collection tools and data interpretation. RELEVANCE TO CLINICAL PRACTICE: ICU staff should pay attention to SSD patients with older age, history of surgery, longer duration of ventilation, prolonged duration of hypoxia, and lower ACE scores.

[Analysis of risk factors for postoperative delirium in elderly patients undergoing spinal surgery].

OBJECTIVE: To investigate the risk factors of postoperative delirium in elderly patients undergoing spine surgery. METHODS: The basic case data of 566 patients who underwent spine surgery under general anesthesia from January 2021 to January 2023 were retrospectively analyzed. There were 296 males and 270 females with an average age of (71.58 ± 4.21) years old. There were 195 cases of cervical spine surgery, 26 cases of thoracic spine surgery and 345 cases of lumbar spine surgery.According to the occurrence of postoperative delirium, the patients were divided into postoperative delirium group(41 patients) and non-delirium group (525 patients). Univariate analysis was used to analyze the possible influencing factors such as gender, age, weight, smoking history, drinking history, surgical site, preoperative anxiety, intraoperative hypotension times, blood loss and so on, and binary Logistic regression was used to analyze the univariate factors with P<0.05. RESULTS: A total of 41 patients developed postoperative delirium. Univariate analysis showed that age (P=0.000), duration of surgery (P=0.039), preoperative anxiety (P=0.001), blood loss (P=0.000), history of opioid use (P=0.003), history of stroke (P=0.005), C-reactive protein (P=0.000), sodium ion(P=0.000) were significantly different between delirium group and non-delirium group. These factors were included in the binary Logistic regression analysis, and the results showed that age [OR=0.729, 95%CI(0.569, 0.932), P=0.012], opioid use [OR=21.500, 95%CI(1.334, 346.508), P=0.031], blood loss [OR=0.932, 95%CI(0.875, 0.993), P=0.029], C-reactive protein [OR=0.657, 95%CI(0.485, 0.890), P=0.007], preoperative anxiety [OR=23.143, 95%CI(1.859, 288.090), P=0.015], and sodium [OR=1.228, 95%CI(1.032, 1.461), P=0.020] were independent risk factors for the development of delirium after spinal surgery in elderly patients. CONCLUSION: Age, opioid use, blood loss, preoperative anxiety, elevated c-reactive protein, and hyponatremia are independent risk factors for the development of postoperative delirium in elderly patients undergoing spinal surgery.

Incidence, Predictors, and Prognostic Impact of Neurologic Events After TAVR According to VARC-3 Criteria.

BACKGROUND: The Valve Academic Research Consortium (VARC)-3 definition for neurologic events after transcatheter aortic valve replacement (TAVR) lacks clinical validation. OBJECTIVES: This study sought to determine the incidence, predictors, and clinical impact of neurologic events following TAVR as defined by VARC-3 criteria. METHODS: This was a multicenter study including 2,924 patients with severe aortic stenosis undergoing TAVR. Based on Neurologic Academic Research Consortium (NeuroARC) classification, neurologic events were classified as NeuroARC type 1 (stroke), NeuroARC type 2 (covert central nervous system injury), and NeuroARC type 3 (transient ischemic attack and delirium). Baseline, procedural, and follow-up data were prospectively collected in a dedicated database. RESULTS: After a median follow-up of 13 (7-37) months, neurologic events occurred in 471 patients (16.1%), NeuroARC type 1, 2, and 3 in 37.4%, 4.7%, and 58.0% of cases, respectively, and the majority (58.6%) were periprocedural. Advanced age, chronic kidney disease, atrial fibrillation, major vascular complications, and in-hospital bleeding determined an increased risk of periprocedural events (P < 0.03 for all). Neurologic events occurring during the periprocedural time frame were independently associated with a substantial increase in mortality at 1 year after the intervention (HR: 1.91; 95% CI: 1.23-2.97; P = 0.004). However, although NeuroARC type 1 was associated with an increased mortality risk (IRR: 3.38; 95% CI: 2.30-5.56; P < 0.001 and IRR: 21.7; 95% CI: 9.63-49.1; P < 0.001 for ischemic and hemorrhagic stroke, respectively), the occurrence of NeuroARC type 3 events had no impact on mortality. CONCLUSIONS: Neurologic events after TAVR were associated with poorer short- and long-term survival. This correlation was related to the type of NeuroARC event defined by the VARC-3 criteria. Given the negative impact on clinical outcomes, every attempt should be made to reduce the risk of neurologic complications after TAVR.

Delirium: Where Are We Now?

Delirium has long been recognized within the adult intensive care world, but it is only within the past decade that its presence and prevalence in the context of pediatric intensive care has been studied. There is now a greater understanding of risk factors for delirium, a better selection of methods to recognize it, and treatment specifically directed to pediatric patients. An understanding of delirium is also relevant to pediatricians practicing outside of the intensive care unit, as delirium can present in other care environments, where it remains under-recognized. The purpose of this article is to review pediatric delirium by discussing its pathophysiology, the tools available to screen patients, and current prevention and management approaches. [Pediatr Ann. 2024;53(8):e288-e292.].

Predictive model of risk factors for 28-day mortality in patients with sepsis or sepsis-associated delirium based on the MIMIC-IV database.

Research on the severity and prognosis of sepsis with or without progressive delirium is relatively insufficient. We constructed a prediction model of the risk factors for 28-day mortality in patients who developed sepsis or sepsis-associated delirium. The modeling group of patients diagnosed with Sepsis-3 and patients with progressive delirium of related indicators were selected from the MIMIC-IV database. Relevant independent risk factors were determined and integrated into the prediction model. Receiver operating characteristic (ROC) curves and the Hosmer-Lemeshow (HL) test were used to evaluate the prediction accuracy and goodness-of-fit of the model. Relevant indicators of patients with sepsis or progressive delirium admitted to the intensive care unit (ICU) of a 3A hospital in Xinjiang were collected and included in the verification group for comparative analysis and clinical validation of the prediction model. The total length of stay in the ICU, hemoglobin levels, albumin levels, activated partial thrombin time, and total bilirubin level were the five independent risk factors in constructing a prediction model. The area under the ROC curve of the predictive model (0.904) and the HL test result (χ2 = 8.518) indicate a good fit. This model is valuable for clinical diagnosis and treatment and auxiliary clinical decision-making.

A Dual-Camera Eye-Tracking Platform for Rapid Real-Time Diagnosis of Acute Delirium: A Pilot Study.

OBJECTIVE: Delirium, an acute confusional state, affects 20-80% of patients in Intensive Care Units (ICUs), one in three medically hospitalized patients, and up to 50% of all patients who have had surgery. Its development is associated with short- and long-term morbidity, and increased risk of death. Yet, we lack any rapid, objective, and automated method to diagnose delirium. Here, we detail the prospective deployment of a novel dual-camera contextual eye-tracking platform. We then use the data from this platform to contemporaneously classify delirium. RESULTS: We recruited 42 patients, resulting in 210 (114 with delirium, 96 without) recordings of hospitalized patients in ICU across two centers, as part of a prospective multi-center feasibility pilot study. All recordings made with our platform were usable for analysis. We divided the collected data into training and validation cohorts based on the data originating center. We trained two Temporal Convolutional Network (TCN) models that can classify delirium using a pre-existing manual scoring system (Confusion Assessment Method in ICU (CAM-ICU)) as the training target. The first model uses eye movements only which achieves an Area Under the Receiver Operator Curve (AUROC) of 0.67 and a mean Average Precision (mAP) of 0.68. The second model uses the point of regard, the part of the scene the patient is looking at, and increases the AUROC to 0.76 and the mAP to 0.81. These models are the first to classify delirium using continuous non-invasive eye-tracking but will require further clinical prospective validation prior to use as a decision-support tool. CLINICAL IMPACT: Eye-tracking is a biological signal that can be used to identify delirium in patients in ICU. The platform, alongside the trained neural networks, can automatically, objectively, and continuously classify delirium aiding in the early detection of the deteriorating patient. Future work is aimed at prospective evaluation and clinical translation.

Delirium and Coronavirus Disease 2019: Looking Back, Moving Forward.

During the coronavirus disease 2019 pandemic, crisis changes in clinical care increased rates of delirium in the intensive care unit (ICU). Deep sedation, unfamiliar environments with visitor restrictions, and such factors due to high workload and health system strain contributed to the occurrence of delirium doubling in the ICU. As the pandemic wanes, health care systems and ICU leadership must emphasize post-pandemic recovery, integrating lessons learned about delirium management, evidence-based care, and family involvement. Strategies to empower clinicians, creatively deliver care, and integrate families pave the way forward for a more holistic approach to patient care in the post-pandemic era.

[Cardio Delirium Day: national study on the prevalence of delirium in Italian cardiology wards]. / Cardio Delirium Day: studio nazionale di prevalenza del delirium nelle cardiologie italiane.

BACKGROUND: To date delirium prevalence in the adult acute Italian hospital cardiac population is unknown. In a multicenter study, we assessed the prevalence of delirium over a single day among a population of patients admitted to acute cardiac hospital wards in Italy. METHODS: This is a point prevalence study (called "Cardio Delirium Day") which involved 55 Italian cardiologic centers (23 North, 18 Central, 12 South, 2 Sardinia) that collected data on 152 patients older than 65 years hospitalized on March 15, 2023. Delirium was assessed on the same day in all patients using the Confusion Assessment Method for the Intensive Care Unit algorithm, a validated and briefly administered tool which does not require specialized training. We also collected data about clinical variables, functional and nutritional status, dementia, comorbidity, medications, and physical restraints. RESULTS: The mean sample age was 79.0 ± 10 years (33% female). Delirium was diagnosed in 25 patients (16.4%); 17.1% were hospitalized in the intensive cardiac care unit and 13.8% in the cardiology ward (p=NS). Hyperactive was the commonest subtype (48%), followed by mixed (36%) and hypoactive type (8%). In a multivariate logistic regression, male sex (odds ratio [OR] 3.81, 95% confidence interval [CI] 1.18-12.26; p=0.025), chronic obstructive pulmonary disease (OR 0.24, 95% CI 0.063-0.66; p=0.008), sensorial deficit (OR 3.75, 95% CI 1.18-11.95; p=0.025), sleep deprivation (OR 5.81, 95% CI 1.47-22.9; p=0.012) and the presence of ≥3 precipitating factors (OR 7.63, 95% CI 2.32-25.2; p=0.001) were independent predictors of delirium. CONCLUSIONS: Delirium occurred in 16.4% of patients in a cardiology setting. The "Cardio Delirium Day" project might become a useful method to assess delirium over time and sensitize the interest and the culture of Italian cardiology in this important aspect of hospital care.

Educational interventions aimed at improving knowledge of delirium among nursing home staff-a realist review.

BACKGROUND: Delirium is a neuropathological syndrome that is characterised by fluctuating impairments in attention, cognitive performance, and consciousness. Since delirium represents a medical emergency, it can be associated with adverse clinical and economic outcomes. Although nursing home residents face a high risk of developing delirium, health care professionals in this field appear to have limited knowledge of delirium despite the critical role they play in the prevention, diagnosis, and treatment of delirium in nursing homes. OBJECTIVE: The purpose of this realist review is to develop an initial programme theory with the goal of understanding how, why, and under what circumstances educational interventions can improve the delirium-specific knowledge of health care professionals in nursing homes. METHODS: This realist review was conducted in accordance with the RAMESES (Realist And Meta-narrative Evidence Synthesis: and Evolving Standards) guidelines and includes the following steps: (1) search strategy and literature review; (2) study selection and assessment; (3) data extraction; (4) data synthesis; and (5) development of an initial programme theory. It also included stakeholder discussions with health care professionals recruited from nursing home care, which focused on their experiences with delirium. RESULTS: From a set of 1703 initially identified publications, ten publications were included in this realist review. Based on these publications, context-mechanism-outcome configurations were developed; these configurations pertained to (1) management support, (2) cognitive impairments among residents, (3) familiarity with residents, (4) participatory intervention development, (5) practical application, (6) case scenarios, (7) support from experts and (8) relevance of communication. CONCLUSIONS: Educational interventions aimed at improving the delirium-specific knowledge of health care professionals should feature methodological diversity if they are to enhance health care professionals' interest in delirium and highlight the fundamental contributions they make to the prevention, diagnosis, and treatment of delirium. Educational interventions should also take into account the multidimensional contextual factors that can have massive impacts on the relevant mode of action as well as the responses of health care professionals in nursing homes. The identification of delirium in residents is a fundamental responsibility for nursing home staff. TRIAL REGISTRATION: This review has been registered at Open Science Framework https://doi.org/10.17605/OSF.IO/6ZKM3.

Association of triglyceride-glucose index and delirium in patients with sepsis: a retrospective study.

OBJECTIVE: It is well known that glucose and lipid metabolism disorders and insulin resistance are common in sepsis, which affect the occurrence and prognosis of multiple organ dysfunction in septic patients. Previous study reported the predictive value of triglyceride-glucose index (TyG), a clinical indicator for insulin resistance, in postoperative delirium patients. However, it remains unclear whether the TyG index is a novel predictive biomarker for sepsis-associated delirium. The aim of this study is to explore the relationship between TyG index and the risk of delirium in patients with sepsis. METHODS: Adult septic patients were identified from the MIMIC-IV database and divided into four groups based on the mean value of TyG. The primary outcome was the incidence of delirium. The association between TyG and the risk of developing delirium was evaluated by restricted cubic spline (RCS), multivariate logistic regression and subgroup analysis. Propensity Score Matching (PSM) method was used to balance the baseline data. RESULTS: A total of 3,331 septic patients were included in the analysis, and further divided into four groups: Q1 (TyG ≤ 8.67), Q2 (8.67 < TyG ≤ 9.08), Q3 (9.08 < TyG ≤ 9.61), and Q4 (TyG > 9.61). The RCS curves demonstrated a non-linear positive relationship between TyG index and the risk of developing delirium, and an optimal cut-of value 9.09 was recommended. After balancing the baseline information by PSM, patients in the TyG > 9.09 group had a significant higher incidence of delirium compared with those in the TyG ≤ 9.09 group. In logistic regression analysis, TyG > 9.09 was significantly associated with lower risk of developing delirium in both original cohort (OR 1.54-1.78, all P < 0.001) and the PSM cohort (OR 1.41-1.48, all P < 0.001). No association was found between the TyG index and mortality (all P > 0.05). In subgroup analysis, our findings were consistent (all OR > 1 in all subgroups). CONCLUSION: Our study demonstrated an independent association between TyG index and increased risk of delirium in septic patients, indicating that TyG index can serve as a biomarker for delirium in sepsis.

Adopting machine learning to predict ICU delirium.

With neuropsychiatric complications recognized among COVID-19 patients translating into significant morbidity, we explore the current state-of-the-art for auto Machine Learning (ML) to predict ICU delirium among severe COVID-19 patients which has been identified as a significant predictor of cognitive decline among such patients. Such optimally developed ML models can provide instantaneous, accurate and precise risk-stratification predictions, allowing neurology clinicians to take an informed decision regarding the advanced neuropsychiatric management for severe COVID-19 patients. Such incorporation of ML into the relevant management protocols has the potential to significantly curtail the morbidity and mortality associated with the once-in-a-century global public health catastrophe.

A prospective multi-center study quantifying visual inattention in delirium using generative models of the visual processing stream.

The visual attentional deficits in delirium are poorly characterized. Studies have highlighted neuro-anatomical abnormalities in the visual processing stream but fail at quantifying these abnormalities at a functional level. To identify these deficits, we undertook a multi-center eye-tracking study where we recorded 210 sessions from 42 patients using a novel eye-tracking system that was made specifically for free-viewing in the (ICU); each session lasted 10 min and was labeled with the delirium status of the patient using the Confusion Assessment Method in ICU (CAM-ICU). To analyze this data, we formulate the task of visual attention as a hierarchical generative process that yields a probabilistic distribution of the location of the next fixation. This distribution can then be compared to the measured patient fixation producing a correctness score which is tallied compared across delirium status. This analysis demonstrated that the visual processing system of patients suffering from delirium is functionally restricted to a statistically significant degree. This is the first study to explore the potential mechanisms underpinning visual inattention in delirium and suggests a new target of future research into a disease process that affects one in four hospitalized patients with severe short and long-term consequences.

Postoperative delirium in oral and maxillofacial surgery: a scoping review.

BACKGROUND: Postoperative delirium (POD) in the oral and maxillofacial settings has gained more attention in recent decades. Due to advances in medical technology, treatment possibilities have expanded treatment for elderly and frail patients. This scoping review explores the correlation between POD and oral and maxillofacial surgery, summarizing screening and management protocols and identifying risk factors in this surgical field. METHODS: This review follows the Scoping Review extension of the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA-ScR). A comprehensive literature search was performed using multiple databases, focusing on articles published from 2002 to 2023 that discuss delirium in oral and maxillofacial surgery settings. The review was registered beforehand in the Open Science Framework ( https://osf.io/r2ebc ). RESULTS: From the initial 644 articles, 68 met the inclusion criteria. These studies highlighted the significant heterogeneity in POD diagnosis methods. The review identifies multiple risk factors across the preoperative, intraoperative, and postoperative phases that influence the occurrence of POD. Significant and independent risk factors in multiple regression analysis were highlighted, creating a clinical prediction list for the occurrence of POD. CONCLUSION: It is crucial to preoperatively identify patients at risk for POD and actively modify these risks throughout the patient's hospital stay. Implementing nonpharmacological preventive measures for at-risk patients is recommended to decrease the incidence of POD. Future research should focus on creating standardized specialty-specific protocols incorporating validated assessment tools and addressing the full spectrum of risk factors associated with POD.

From Traditional Typing to Intelligent Insights: A Narrative Review of Directions Toward Targeted Therapies in Delirium.

Delirium is a heterogeneous syndrome characterized by an acute change in level of consciousness that is associated with inattention and disorganized thinking. Delirium affects most critically ill patients and is associated with poor patient-oriented outcomes such as increased mortality, longer ICU and hospital length of stay, and worse long-term cognitive outcomes. The concept of delirium and its subtypes has existed since nearly the beginning of recorded medical literature, yet robust therapies have yet to be identified. Analogous to other critical illness syndromes, we suspect the lack of identified therapies stems from patient heterogeneity and prior subtyping efforts that do not capture the underlying etiology of delirium. The time has come to leverage machine learning approaches, such as supervised and unsupervised clustering, to identify clinical and pathophysiological distinct clusters of delirium that will likely respond differently to various interventions. We use sedation in the ICU as an example of how precision therapies can be applied to critically ill patients, highlighting the fact that while for some patients a sedative drug may cause delirium, in another cohort sedation is the specific treatment. Finally, we conclude with a proposition to move away from the term delirium, and rather focus on the treatable traits that may allow precision therapies to be tested.