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.

The interrelationship between multiple long-term conditions (MLTC) and delirium: a scoping review.

INTRODUCTION: Delirium and multiple long-term conditions (MLTC) share numerous risk factors and have been shown individually to be associated with adverse outcomes following hospitalisation. However, the extent to which these common ageing syndromes have been studied together is unknown. This scoping review aims to summarise our knowledge to date on the interrelationship between MLTC and delirium. METHODS: Searches including terms for delirium and MLTC in adult human participants were performed in PubMed, EMBASE, Medline, Psycinfo and CINAHL. Descriptive analysis was used to summarise findings, structured according to Synthesis Without Meta-analysis reporting guidelines. RESULTS: After removing duplicates, 5256 abstracts were screened for eligibility, with 313 full-texts sought along with 17 additional full-texts from references in review articles. In total, 140 met inclusion criteria and were included in the final review. Much of the literature explored MLTC as a risk factor for delirium (n = 125). Fewer studies explored the impact of MLTC on delirium presentation (n = 5), duration (n = 3) or outcomes (n = 6) and no studies explored how MLTC impacts the treatment of delirium or whether having delirium increases risk of developing MLTC. The most frequently used measures of MLTC and delirium were the Charlson Comorbidity Index (n = 98/140) and Confusion Assessment Method (n = 81/140), respectively. CONCLUSION: Existing literature largely evaluates MLTC as a risk factor for delirium. Major knowledge gaps identified include the impact of MLTC on delirium treatment and the effect of delirium on MLTC trajectories. Current research in this field is limited by significant heterogeneity in defining both MLTC and delirium.

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.

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.

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.

Experiences of healthcare staff caring for hospitalised people with delirium: a qualitative systematic review.

BACKGROUND: Inpatient delirium is common and associated with poor outcomes. Although most organisations have evidence-based guidelines to improve delirium prevention and management, delirium rates and outcomes have remained relatively unchanged over time. A lack of understanding of healthcare providers' experience of caring for people with delirium and its integration into existing guidance may explain some of the slow progress in improving delirium care. OBJECTIVE: To review and synthesise existing qualitative evidence on healthcare providers' experience of caring for inpatients with delirium within and across disciplines. METHODS: We systematically searched OVID Medline, CINAHL, Embase, Emcare, PsychINFO, AMED and Web of Science databases for articles published between January 1990 and November 2022. Article inclusion and study quality were assessed by two independent reviewers. Both thematic synthesis and content analysis were then conducted to synthesise findings from included studies. RESULTS: Within the 25 included studies, the experience of nurses was the most commonly studied perspective, followed by medical and allied health. Nursing, medical and allied health staff all reported that their experience of caring for people with delirium was challenging, highlighting difficulties in delirium recognition and that they felt unsupported at organisational and local levels. Attitudes towards older people and the importance of delirium influenced identification and prioritisation. CONCLUSIONS: Healthcare providers often find caring for hospitalised patients with delirium challenging and complex. Although good communication within multidisciplinary teams was deemed helpful, more work is required to understand how to achieve this, recognising the unique perspectives of individual disciplines.

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.

Association between preoperative persistent hyperglycemia and postoperative delirium in geriatric hip fracture patients.

BACKGROUND: The management of preoperative blood glucose levels in reducing the incidence of postoperative delirium (POD) remains controversial. This study aims to investigate the impact of preoperative persistent hyperglycemia on POD in geriatric patients with hip fractures. METHODS: This retrospective cohort study analyzed medical records of patients who underwent hip fracture surgery at a tertiary medical institution between January 2013 and November 2023. Patients were categorized based on preoperative hyperglycemia (hyperglycemia defined as ≥ 6.1mmol/L), clinical classification of hyperglycemia, and percentile thresholds. Multivariate logistic regression and propensity score matching analysis (PSM) were employed to assess the association between different levels of preoperative glucose and POD. Subgroup analysis was conducted to explore potential interactions. RESULTS: A total of 1440 patients were included in this study, with an incidence rate of POD at 19.1% (275/1440). Utilizing multiple logistic analysis, we found that patients with hyperglycemia had a 1.65-fold increased risk of experiencing POD compared to those with normal preoperative glucose levels (95% CI: 1.17-2.32). Moreover, a significant upward trend was discerned in both the strength of association and the predicted probability of POD with higher preoperative glucose levels. PSM did not alter this trend, even after meticulous adjustments for potential confounding factors. Additionally, when treating preoperative glucose levels as a continuous variable, we observed a 6% increase in the risk of POD (95% CI: 1-12%) with each 1mmol/L elevation in preoperative glucose levels. CONCLUSIONS: There exists a clear linear dose-response relationship between preoperative blood glucose levels and the risk of POD. Higher preoperative hyperglycemia was associated with a greater risk of POD. CLINICAL TRIAL NUMBER: NCT06473324.

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.

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.

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.

[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.

Adapting the Cornell assessment of pediatric delirium for Swedish context: translation, cultural validation and inter-rater reliability.

BACKGROUND: Pediatric delirium causes prolonged hospital stays, increased costs, and distress for children and caregivers. Currently, there is no delirium screening tool available in Sweden that has been translated, culturally validated, and tested for reliability. This study aimed to translate, culturally adapt, and assess the suitability of the Cornell Assessment of Pediatric Delirium (CAPD) for implementation in Swedish healthcare settings. METHODS: The CAPD was translated and culturally adapted to Swedish context following the ten-step process recommended by the International Society for Pharmacoeconomics and Outcomes Task Force for Translation and Cultural Adaptation. The Swedish CAPD was tested in the pediatric intensive care unit of Uppsala University Hospital, a tertiary hospital in Sweden. Inter-rater reliability was tested using intraclass correlation coefficient (ICC), with both Registered Nurses (RNs) and Assistant Nurses (ANs) conducting parallel measurements using the Swedish CAPD. A reliability score of ICC > 0.75 was considered indicative of good reliability. RESULTS: After translation of the CAPD into Swedish, 10 RNs participated in the cultural adaptation process. Issues related to word choice, education, and instructions were addressed. Wording improvements were made to ensure accurate interpretation. Supplementary training sessions were organized to strengthen users' proficiency with the Swedish CAPD. Additional instructions were provided to enhance clarity and usability. Inter-rater reliability testing resulted in an ICC of 0.857 (95% CI: 0.708-0.930), indicating good reliability. CONCLUSION: This study successfully translated and culturally adapted the CAPD to align with Swedish contextual parameters. The resulting Swedish CAPD demonstrated good inter-rater reliability, establishing its viability as a tool for measuring delirium among pediatric patients in Swedish pediatric intensive care units. TRAIL REGISTRATION: Not applicable.

Predictive value of the Naples prognostic score on postoperative delirium in the elderly with gastrointestinal tumors: a retrospective cohort study.

BACKGROUND: Postoperative delirium (POD) is a common complication among elderly patients after surgery. The Naples Prognostic Score (NPS), a novel prognostic marker based on immune-inflammatory and nutritional status, was widely used in the assessment of the prognosis of surgical patients. However, no study has evaluated the relationship between NPS and POD. The aim of this article was to investigate the association between NPS and POD and test the predictive efficacy of preoperative NPS for POD in elderly patients with gastrointestinal tumors. MATERIALS AND METHODS: In the present study, we retrospectively collected perioperative data of 176 patients (≥ 60 years) who underwent elective gastrointestinal tumor surgery from June 2022 to September 2023. POD was defined according to the chart-based method and the NPS was calculated for each patient. We compared all the demographics and laboratory data between POD and non-POD groups. Univariate and multivariate logistic regression analysis was used to explore risk factors of POD. Moreover, the accuracy of NPS in predicting POD was further assessed by utilizing receiver operating characteristic (ROC) curves. RESULTS: 20 had POD (11.4%) in a total of 176 patients, with a median age of 71 (65-76). The outcomes by univariate analysis pointed out that age, ASA status ≥ 3, creatinine, white blood cell count, fasting blood glucose (FBG), and NPS were associated with the risk of POD. Multivariate logistic regression analysis further showed that age, ASA grade ≥ 3, FBG and NPS were independent risk factors of POD. Additionally, the ROC curves revealed that NPS allowed better prognostic capacity for POD than other variables with the largest area under the curve (AUC) of 0.798, sensitivity of 0.800 and specificity of 0.667, respectively. CONCLUSION: Age, ASA grade ≥ 3, and FBG were independent risk factors for POD in the elderly underwent gastrointestinal tumor surgery. Notably, the preoperative NPS was a more effective tool in predicting the incidence of POD, but prospective trials were still needed to further validate our conclusion. TRIAL REGISTRATION: The registration information for the experiment was shown below. (date: 3rd January 2024; number: ChiCTR2400079459).

Use of Term Excited Delirium in State EMS Protocols Over Time.

This cross-sectional study investigates changes in use of the term excited delirium in state emergency medical services (EMS) protocols after professional society statements condemning the term.