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.

Impact of a Delirium Protocol on Deliriogenic Medication Use in Hospitalized Older Veterans.

Background The Southern Arizona VA Health Care System (SAVAHCS) implemented a delirium prevention and treatment protocol in 2019. Objective The primary objective of this study was to determine if the implementation of a delirium protocol influenced deliriogenic medication use in hospitalized geriatric veterans. The secondary objectives were to compare the rates of delirium diagnosis, hospital length-of-stay, and rates of newly started deliriogenic medications during admission pre- and post-protocol. Methods This study was a retrospective, secondary data analysis study. Veterans 65 years of age and older who were admitted to an inpatient medical ward at the SAVAHCS for 24 hours or more between January 1, 2018 and December 31, 2018 (pre-protocol) or January 1, 2021 and December 31, 2021 (post-protocol) were included. Patients were excluded if they had a diagnosis of alcohol or benzodiazepine withdrawal upon admission. Results A total of 5491 patients were included in this study; 2940 (53.5%) in the pre-protocol group and 2551 (46.5%) in the post-protocol group. Patients received at least one deliriogenic medication during their admission in the post-protocol group (36.2%) compared with the pre-protocol group (34.1%), but there was no statistically significant difference (P = 0.098). There were also no significant differences in the rates of documentation of delirium as a diagnosis at discharge, hospital length-of-stay, or the rates of newly started deliriogenic medications during admission between the groups. Conclusion Implementation of a delirium prevention and treatment protocol at the SAVAHCS did not significantly impact the use of deliriogenic medications in hospitalized geriatric veterans.

Delirium in neonates and infants: a scoping review protocol.

INTRODUCTION: Delirium in neonates and infants is difficult to screen or assess because of their different developmental features and distinct delirium characteristics compared with those of older children. Some delirium management strategies, including assessment, pharmacological and non-pharmacological interventions, and prevention strategies, have been previously suggested for paediatric delirium. However, whether these strategies are effective for delirium in neonates and infants is unclear. This scoping review aims to explore comprehensive information on delirium in neonates and infants, such as the features of delirium, factors related to delirium, and current assessments and interventions in neonates and infants. METHODS AND ANALYSIS: This study will be based on the Joanna Briggs Institute guidelines for scoping review protocol development and follow each stage of the framework proposed by Arksey and O'Malley. Research questions regarding delirium management in neonates and infants will be specified. A wide range of databases, including MEDLINE, EBSCO, Embase and the Cochrane Library, using optimised terms will be searched from 2004 to 2024. The summarised results will be reported in accordance with the Preferred Reporting Items for Systematic Reviews and Meta-Analyses extension of the Scoping Reviews checklist. ETHICS AND DISSEMINATION: Since this study will review and summarise published scientific literature, ethical approval is not required. The results of this scoping review will be disseminated through conference presentations and peer-reviewed publications. The study findings will be disseminated through seminars for experts so that they can be reflected in practice.

A world-wide study on delirium assessments and presence of protocols.

BACKGROUND: Delirium is a common complication of older people in hospitals, rehabilitation and long-term facilities. OBJECTIVE: To assess the worldwide use of validated delirium assessment tools and the presence of delirium management protocols. DESIGN: Secondary analysis of a worldwide one-day point prevalence study on World Delirium Awareness Day, 15 March 2023. SETTING: Cross-sectional online survey including hospitals, rehabilitation and long-term facilities. METHODS: Participating clinicians reported data on delirium, the presence of protocols, delirium assessments, delirium-awareness interventions, non-pharmacological and pharmacological interventions, and ward/unit-specific barriers. RESULTS: Data from 44 countries, 1664 wards/units and 36 048 patients were analysed. Validated delirium assessments were used in 66.7% (n = 1110) of wards/units, 18.6% (n = 310) used personal judgement or no assessment, and 10% (n = 166) used other assessment methods. A delirium management protocol was reported in 66.8% (n = 1094) of wards/units. The presence of protocols for delirium management varied across continents, ranging from 21.6% (on 21/97 wards/units) in Africa to 90.4% (235/260) in Australia, similar to the use of validated delirium assessments with 29.6% (29/98) in Africa to 93.5% (116/124) in North America. Wards/units with a delirium management protocol [n = 1094/1664, 66.8%] were more likely to use a validated delirium test than those without a protocol [odds ratio 6.97 (95% confidence interval 5.289-9.185)]. The presence of a delirium protocol increased the chances for valid delirium assessment and, likely, evidence-based interventions. CONCLUSION: Wards/units that reported the presence of delirium management protocols had a higher probability of using validated delirium assessments tools to assess for delirium.

Capturing the ghost in the machine: a process for development and validation of measures of phenomenal consciousness in delirium.

BACKGROUND: Delirium has conventionally been considered a disorder of consciousness. Alertness and arousal are used as surrogates in clinical practice but are insufficient for the purposes of a more dimensional assessment of consciousness. We present a process of development and validation of candidate measures of phenomenal consciousness that could be applied to the diagnosis of delirium. METHODS: First, a narrative review of available instruments in the fields of phenomenal consciousness, including prereflective consciousness, the phenomenal-sensed experience and reflective thought, was undertaken. Eligibility of tools in the context of applicability to delirium was based upon objectivity in test interpretation and the requirement for tester administration. Second, where there was a gap in suitable cognitive tools, new items were derived using the silent generation technique. A process of face and construct validity using a diverse panel of experts was performed, and readability was evaluated. RESULTS: 814 articles were screened from the literature review. Fourteen candidate tools were reported from the three domains of phenomenal consciousness. One of these met the eligibility criteria for a delirium assessment. Fifty-seven new tests of phenomenal consciousness were identified. After a process of item reduction, a total of 26 individual tests were identified. After content validity, 22 of the 26 items were retained. The scale average content validity index was 0.89. The agreement between raters was between 80% and 97%. 100% of responses for face validity were rated as positive. Flesch Reading Ease Score was 91.6 (very easy to read). CONCLUSIONS: Candidate measures of phenomenal consciousness are described, and early validity studies are promising.

Digital education about delirium for health care professional students: a mixed methods systematic review.

BACKGROUND: Competence in delirium care begins with pre-registration education for health care professionals. Although a common complication for hospitalised patients, delirium is avoidable and reversible. Delirium requires early recognition in person-centred care. Students need to learn how to identify and effectively care for 'at risk' patients. AIM: To identify and examine literature on how pre-registration health care professional students are prepared to recognise, assess, and deliver interventions to prevent delirium in practice, using digital/web based educational interventions. METHOD: Mixed methods systematic review with narrative synthesis. A protocol was registered with PROSPERO. The review questions and search strategy were guided by the Population, Phenomena of Interest, Context (PICo) framework. The PRISMA framework guided the screening, data extraction and analysis. Database searches (MEDLINE, Web of Science, Embase, CINAHL, Cochrane Central Register of Controlled Trials, PsycINFO & Scopus) were undertaken in April 2023 for publications from 2012 to 2023. Covidence software [30] was used to extract and manage the data. Quality appraisal was guided by the Crowe Critical Appraisal Tool (CCAT) [31]. FINDINGS: Ten papers were included: mixed methods (2), qualitative (1) and quantitative (7). Medical students were the most studied group (n = 5), followed by student nurses (n = 4) and mixed nursing and medical students (n = 1). Length of learning experience varied from 12 min virtual reality (VR) to a two-week 'geriatrics' elective. Learning was enhanced by player autonomy, engagement, safety, applicability, choices, multiple perspectives and moral reasoning opportunities. DISCUSSION: Digital programmes should be visually appealing, interactive with opportunities for practice and timely appropriate feedback.

Retinal imaging with hand-held optical coherence tomography in older people with or without postoperative delirium after hip fracture surgery: A feasibility study.

INTRODUCTION: Postoperative delirium in older people may result from the interaction between intrinsic brain vulnerability (e.g. neurodegeneration) and precipitating factors (e.g. surgery induced cytokines). Intrinsic brain vulnerability may be overt (e.g. Alzheimer's disease) or preclinical. In cognitively intact older people presenting for surgery, identification of preclinical neurodegeneration using bedside tools could aid postoperative delirium risk stratification. Thinning of the circumpapillary retinal nerve fibre layer thickness is associated with neurodegenerative disorders e.g. Alzheimer's disease. We propose that thinning of the retinal nerve fibre layer may be present some older people with postoperative delirium due to preclinical neurodegeneration, albeit to a lesser extent than in overt dementia. OBJECTIVES: The primary objective: Feasibility of acquiring usable retinal images with the hand-held optical coherence device, at the bedside of older, hip fracture surgery patients. Secondary objective: Comparison of the circumpapillary retinal nerve fibre layer thickness between people who did/did not have postoperative delirium. Proportion of exclusions due to retinal pathology. METHOD: Feasibility study involving 30, cognitively intact, older people recovering from hip fracture surgery. Retinal images were obtained using the hand-held optical coherence tomography device at the participants' bedside. Imaging was deferred in participants who had postoperative delirium. RESULTS: Retinal images that could be assessed for circumpapillary retinal nerve fibre layer thickness were obtained in 26 participants (22 no postoperative delirium, 4 postoperative delirium). The mean circumpapillary retinal nerve fibre layer thickness was lower in the participants who had postoperative delirium compared to those who did not experience postoperative delirium (Mean (95% CI) of 76.50 (62.60-90.40) vs 89.19 (85.41-92.97) respectively). CONCLUSION: Retinal imaging at the patient's bedside, using hand-held OCT is feasible. Our data suggests that the circumpapillary retinal nerve fibre layer may be thinner in older people who experience postoperative delirium compared to those who do not. Further studies are required.

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.

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.

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.

Predicting the Risk of Postoperative Delirium in Elderly Patients Undergoing Hip Arthroplasty: Development and Assessment of a Novel Nomogram.

OBJECTIVE: To construct and internally validate a nomogram that predicts the likelihood of postoperative delirium in a cohort of elderly individuals undergoing hip arthroplasty. METHODS: Data for a total of 681 elderly patients underwent hip arthroplasty were retrospectively collected and divided into a model (n = 477) and a validation cohort (n = 204) according to the principle of 7:3 distribution temporally. The assessment of postoperative cognitive function was conducted through the utilization of The Confusion Assessment Method (CAM). The nomogram model for postoperative cognitive impairments was established by a combination of Lasso regression and logistic regression. The receiver operating characteristic (ROC) curve, calibration plot, and decision curve analysis (DCA) were used to evaluate the performance. RESULTS: The nomogram utilized various predictors, including age, body mass index (BMI), education, preoperative Barthel Index, preoperative hemoglobin level, history of diabetes, and history of cerebrovascular disease, to forecast the likelihood of postoperative delirium in patients. The area under the ROC curves (AUC) for the nomogram, incorporating the aforementioned predictors, was 0.836 (95% CI: 0.797-0.875) for the training set and 0.817 (95% CI: 0.755-0.880) for the validation set. The calibration curves for both sets indicated a good agreement between the nomogram's predictions and the actual probabilities. CONCLUSION: The use of this novel nomogram can help clinicians predict the likelihood of delirium after hip arthroplasty in elderly patients and help prevent and manage it in advance.

Impact of the COVID-19 pandemic on care-quality outcomes in older adults admitted to hospital with altered mental status.

OBJECTIVES: During the coronavirus disease (COVID-19) pandemic, patients with altered mental status (AMS: dementia, delirium and delirium superimposed on dementia) were profoundly affected by an abrupt transformation in healthcare systems. Here, we evaluated quality-care outcomes, including length of stay (LOS), in-hospital mortality, early readmission and mortality after hospital discharge, in older adults admitted for AMS during the pandemic and compared them to patients admitted prior to the pandemic. METHODS: Chi-squared and Fisher's exact tests were used to examine changes to admissions for AMS before and during the pandemic, and their outcomes. Logistic regression analyses, with reference to pre-pandemic data, were conducted to examine the impact of the pandemic on outcomes. DESIGN: Prospective data of 21,192 non-COVID admissions to an acute general medical department in a Surrey (UK) hospital were collected from patients admitted before (1st April 2019 to 29th February 2020) and during the pandemic (1st March 2020 to 31st March 2021). RESULTS: There were 10,173 (47.7% men) from the pre-pandemic and 11,019 (47.5% men) from the pandemic periods; overall mean age  =  68.3yr. During the pandemic AMS patients had significantly higher admission rates (1.1% vs 0.6%, P < 0.001). However, median LOS in hospital was shorter (9.0 days [IQR = 5.3-16.2] vs 15.5 days [IQR  =  6.2-25.7], P < 0.001) and thus were less likely to stay in hospital >3 weeks: adjusted OR  =  0.26 (95%CI  =  0.12-0.57). In-hospital mortality and readmission within 28 days of discharge did not change during the pandemic, but were less likely to die within 30 days of discharge: adjusted OR = 0.32 (95%CI = 0.11-0.96). CONCLUSIONS: This combination of higher admission rate, shorter LOS, and an unchanging early readmission suggests a higher admission-discharge turnover of different patients with AMS and provides important insights into the potential impact of the COVID-19 pandemic on healthcare delivery to individuals with AMS.

Physostigmine reversal of delirium from second generation antipsychotic exposure: a retrospective cohort study from a regional poison center.

INTRODUCTION: Physostigmine is an effective antidote for antimuscarinic delirium. There is little evidence for its use to reverse delirium following second generation antipsychotic exposure. The purpose of this study is to describe the safety and effectiveness of physostigmine in reversing delirium from second generation antipsychotic exposure. METHODS: This is a retrospective cohort study of all patients reported to a single regional poison center treated with physostigmine following a second generation antipsychotic exposure from January 1, 2000 to April 15, 2021. The poison center electronic medical record was queried to identify cases and for data abstraction. The primary outcome was the positive response rate to physostigmine, as determined by two trained abstractors. Secondary outcomes included physostigmine dosing, and adverse events. RESULTS: Of 147 charts reviewed, 138 individual patients were included, and the response to physostigmine was reported in 128 patients. The most common second-generation antipsychotic exposure was quetiapine (97; 70.3 percent). A positive response to physostigmine was noted in 106/128 (82.8 percent) patients [95 percent confidence interval 68.9-83.6 percent]. Median number of physostigmine doses was 1 (interquartile range 1-3; range 1-9). The median total physostigmine dose received was 2 mg (interquartile range 2-6 mg; range 0.15-30 mg). The positive physostigmine response rate for patients with an antimuscarinic co-ingestion was not significantly different compared to patients with a different co-ingestion or no co-ingestion (25/34 versus 81/94; P = 0.09). Adverse events were reported in four (2.9 percent) patients, including one death. DISCUSSION: A positive response to physostigmine to treat antimuscarinic delirium from second generation antipsychotic exposure was reported in 82.8 percent of patients, which is similar to previous physostigmine studies. Adverse events were infrequent, and included diaphoresis (one 0.7 percent), seizure (one; 0.7 percent), and bradycardia (one; 0.7 percent). One (0.7%) patient suffered a cardiac arrest 60 minutes after receiving physostigmine to treat antimuscarinic delirium following having received increasing clozapine doses over the previous month. CONCLUSIONS: In this study, physostigmine appears to be a safe and effective treatment for antimuscarinic delirium from second generation antipsychotic exposure. Further studies are needed to validate the safety and effectiveness of physostigmine for this indication.

Challenges in Assessment and Management of Postoperative Agitation and Delirium in a Stroke Patient with Limited English Proficiency: Case Report.

While Title VI of the Civil Rights Act of 1964 mandates use of interpreters for patients with limited English proficiency, significant disparities persist in intensive postsurgical care. We present the case of a 60-year-old Vietnamese-speaking man with a Type A aortic dissection requiring postoperative mechanical ventilation and stroke care. Despite use of a remote video interpreter, our language-discordant nursing and physician providers faced challenges in managing agitation and delirium and assessing neurological function. This case highlights the need for adequate interpretation equipment, linguistic diversity among providers, and interventions to promote and enable consistent certified and professional medical interpreter use.

In-Hospital Delirium and Disability and Cognitive Impairment After COVID-19 Hospitalization.

Importance: Older adults who are hospitalized for COVID-19 are at risk of delirium. Little is known about the association of in-hospital delirium with functional and cognitive outcomes among older adults who have survived a COVID-19 hospitalization. Objective: To evaluate the association of delirium with functional disability and cognitive impairment over the 6 months after discharge among older adults hospitalized with COVID-19. Design, Setting, and Participants: This prospective cohort study involved patients aged 60 years or older who were hospitalized with COVID-19 between June 18, 2020, and June 30, 2021, at 5 hospitals in a major tertiary care system in the US. Follow-up occurred through January 11, 2022. Data analysis was performed from December 2022 to February 2024. Exposure: Delirium during the COVID-19 hospitalization was assessed using the Chart-based Delirium Identification Instrument (CHART-DEL) and CHART-DEL-ICU. Main Outcomes and Measures: Primary outcomes were disability in 15 functional activities and the presence of cognitive impairment (defined as Montreal Cognitive Assessment score <22) at 1, 3, and 6 months after hospital discharge. The associations of in-hospital delirium with functional disability and cognitive impairment were evaluated using zero-inflated negative binominal and logistic regression models, respectively, with adjustment for age, month of follow-up, and baseline (before COVID-19) measures of the respective outcome. Results: The cohort included 311 older adults (mean [SD] age, 71.3 [8.5] years; 163 female [52.4%]) who survived COVID-19 hospitalization. In the functional disability sample of 311 participants, 49 participants (15.8%) experienced in-hospital delirium. In the cognition sample of 271 participants, 31 (11.4%) experienced in-hospital delirium. In-hospital delirium was associated with both increased functional disability (rate ratio, 1.32; 95% CI, 1.05-1.66) and increased cognitive impairment (odds ratio, 2.48; 95% CI, 1.38-4.82) over the 6 months after discharge from the COVID-19 hospitalization. Conclusions and Relevance: In this cohort study of 311 hospitalized older adults with COVID-19, in-hospital delirium was associated with increased functional disability and cognitive impairment over the 6 months following discharge. Older survivors of a COVID-19 hospitalization who experience in-hospital delirium should be assessed for disability and cognitive impairment during postdischarge follow-up.

Hospital-associated complications in frail older adults.

As the Japanese population continues to age steadily, the number of older adults requiring healthcare has increased. Evidence demonstrates that hospitalization for acute care has a negative impact on the health outcomes of older adults. Frail older adults tend to have multifactorial conditions collectively known as "geriatric syndromes." When those with these premorbid conditions are hospitalized for acute care, they tend to develop new problems such as delirium and new functional impairments. Adverse consequences of hospitalization include the risk of loss of functional independence and chronic disability. In 2019, the new concept of "hospital-associated complications" (HACs) was proposed to describe these new problems. HACs comprise five conditions: hospital-associated falls, delirium, functional decline, incontinence, and pressure injuries. This review discusses the important issues of HACs in relation to their classification, prevalence, risk factors, prevention, and management in older adults hospitalized for acute care. Robust prevention and management are imperative to address the serious consequences and escalating medical costs associated with HACs, and a multidimensional and multidisciplinary approach is key to achieving this goal. Comprehensive geriatric assessment (CGA) is the cornerstone of geriatric medicine and offers a holistic approach involving multidisciplinary and multidimensional assessments. Considerable evidence is accumulating regarding how CGA and coordinated care can improve the prognosis of hospitalized older adults. Further research is needed to understand the occurrence of HACs in this population and to develop effective preventive measures.

Association of blood glucose change with postoperative delirium after coronary artery bypass grafting in patients with diabetes mellitus: a study of the MIMIC-IV database.

Aim: Study results on blood glucose and the risk of delirium in patients receiving cardiac surgery are inconsistent, and there is also a gap in how to manage blood glucose after coronary artery bypass grafting (CABG). This study focused on patients with diabetes mellitus (DM) undergoing CABG and explored the associations of different blood glucose-related indexes and blood glucose change trajectory with postoperative delirium (POD), with the aim of providing some information for the management of blood glucose in this population. Methods: Data of patients with DM undergoing CABG were extracted from the Medical Information Mart for Intensive Care (MIMIC)-IV database in this retrospective cohort study. The blood glucose-related indexes included baseline blood glucose, mean blood glucose (MBG), mean absolute glucose (MAG), mean amplitude of glycemic excursions (MAGE), glycemic lability index (GLI), and largest amplitude of glycemic excursions (LAGE). The MBG trajectory was classified using the latent growth mixture modeling (LGMM) method. Univariate and multivariate logistic regression analyses were utilized to screen covariates and explore the associations of blood glucose-related indexes and MBG trajectory with POD. These relationships were also assessed in subgroups of age, gender, race, estimated glomerular filtration rate (eGFR), international normalized ratio (INR), sepsis, mechanical ventilation use, and vasopressor use. In addition, the potential interaction effect between blood glucose and hepatorenal function on POD was investigated. The evaluation indexes were odds ratios (ORs), relative excess risk due to interaction (RERI), attributable proportion of interaction (AP), and 95% confidence intervals (CIs). Results: Among the eligible 1,951 patients, 180 had POD. After adjusting for covariates, higher levels of MBG (OR = 3.703, 95% CI: 1.743-7.870), MAG >0.77 mmol/L/h (OR = 1.754, 95% CI: 1.235-2.490), and GLI >2.6 (mmol/L)2/h/per se (OR = 1.458, 95% CI: 1.033-2.058) were associated with higher odds of POD. The positive associations of MBG, MAG, and GLI with POD were observed in patients aged <65 years old, male patients, White patients, those with eGFR <60 and INR <1.5, patients with sepsis, and those who received mechanical ventilation and vasopressors (all p < 0.05). Patients with class 3 (OR = 3.465, 95% CI: 1.122-10.696) and class 4 (OR = 3.864, 95% CI: 2.083-7.170) MBG trajectory seemed to have higher odds of POD, compared to those with a class 1 MBG trajectory. Moreover, MAG (RERI = 0.71, 95% CI: 0.14-1.27, AP = 0.71, 95% CI: 0.12-1.19) and GLI (RERI = 0.78, 95% CI: 0.19-1.39, AP = 0.69, 95% CI: 0.16-1.12) both had a potential synergistic effect with INR on POD. Conclusion: Focusing on levels of MBG, MAG, GLI, and MBG trajectory may be more beneficial to assess the potential risk of POD than the blood glucose level upon ICU admission in patients with DM undergoing CABG.