Development of delirium: Association with old age, severe burns, and intensive care

Identification of risk factors for postoperative delirium in patients following intraoral reconstruction with microvascular free flaps: a matched-pair analysis

Postoperative delirium (POD) following microvascular head and neck reconstruction negatively impacts patient outcomes, and only a few risk factors have been identified. The aim of this study was to identify additional risk factors for POD after intraoral reconstruction with microvascular free flaps. Data from 377 patients who underwent intraoral microvascular free flap reconstruction between 2011 and 2019 were analysed retrospectively. Preoperative, intraoperative, and postoperative variables were compared between 40 patients with POD and 40 patients without POD who were matched for previously identified risk factors (i.e., sex, age, American Society of Anesthesiologists class, preoperative arterial hypertension, tracheotomy, operation time, and blood transfusion). A multivariable regression analysis was then performed to identify risk factors associated with POD. POD occurred in 50 (13.3%) of the 377 cases studied; the median time of onset was postoperative day 2. Excessive preoperative alcohol consumption (odds ratio 9.22, 95% confidence interval 1.09-77.97; P = 0.041) and postoperative transplant revision (odds ratio 25.72, 95% confidence interval 1.26-525.43; P = 0.035) were identified as risk factors for POD. The identification of patients at high risk of POD based on these two risk factors may allow early adjustment of diagnostic and therapeutic modalities to improve outcomes and reduce healthcare costs.

Psychological Issues

Psychological distress is common following a burn injury, and many burn survivors have pre-morbid psychiatric illnesses including mood and trauma-related disorders, and substance and alcohol use. This article is intended to be used by all interdisciplinary health care team members to improve the identification and treatment of common psychological concerns experienced by survivors and is organized to follow the general recovery timeline.

A retrospective, cross-sectional analysis of delirium in burn injury compared to other surgical specialities

BACKGROUND

Delirium is an acute cerebral disorder characterised by a disturbance in cognition, attention, and awareness. Often, it's undiagnosed and associated with increased morbidity and mortality. For burn patients, the reported prevalence ranges from 16% to 39%, with a multifactorial aetiology, increasing when intensive care is required. A direct comparison of delirium between surgical specialities has not been made.

AIM

1. To audit the use of the 4AT for those who become delirious during their stay. 2. Assess the proportion of patients diagnosed with delirium during hospitalisation by surgical specialities. 3. Identification of the factors associated with delirium in surgical patients.

METHODS

Investigators at a single centre conducted a two-phase study. An initial retrospective audit of delirious patients under burns, general, and orthopaedic specialities over 16months, as defined by ICD-10 coding, identified compliance screening with the 4 A's Test. This informed the design of a retrospective, observational cohort study to compare factors associated with delirium and statistical comparison between four specialities to identify delirium-associated factor, where an analysis corrects for age.

RESULTS

37% of patients with an ICD-10 code indicating delirium had a 4AT test completed. Speciality, number of operations, LOS, ICU hours, age, and discharge destination were all statistically significant independent variables. When all other variables were equal, burns had the highest predicted probability of delirium diagnosis.

CONCLUSIONS

Further analysis to identify and diagnose across the specialties is required. From a patient viewpoint, their LOS, ICU hours, and operations are increased for patients coded as delirious compared to non-delirious across the specialities. On a hospital level, the mean difference in cost for a delirious compared to a non-delirious patient is AU$9317. Despite the low incidence of delirium amongst the observed specialities, burns patients were most likely to develop delirium when demographic and clinical profiles were the same, and were more likely to develop delirium at a younger age and if in ICU.

Machine learning for prediction of delirium in patients with extensive burns after surgery

AIMS

Machine learning-based identification of key variables and prediction of postoperative delirium in patients with extensive burns.

METHODS

Five hundred and eighteen patients with extensive burns who underwent surgery were included and randomly divided into a training set, a validation set, and a testing set. Multifactorial logistic regression analysis was used to screen for significant variables. Nine prediction models were constructed in the training and validation sets (80% of dataset). The testing set (20% of dataset) was used to further evaluate the model. The area under the receiver operating curve (AUROC) was used to compare model performance. SHapley Additive exPlanations (SHAP) was used to interpret the best one and to externally validate it in another large tertiary hospital.

RESULTS

Seven variables were used in the development of nine prediction models: physical restraint, diabetes, sex, preoperative hemoglobin, acute physiological and chronic health assessment, time in the Burn Intensive Care Unit and total body surface area. Random Forest (RF) outperformed the other eight models in terms of predictive performance (ROC:84.00%) When external validation was performed, RF performed well (accuracy: 77.12%, sensitivity: 67.74% and specificity: 80.46%).

CONCLUSION

The first machine learning-based delirium prediction model for patients with extensive burns was successfully developed and validated. High-risk patients for delirium can be effectively identified and targeted interventions can be made to reduce the incidence of delirium.

Delirium in trauma ICUs: a review of incidence, risk factors, outcomes, and management

PURPOSE OF REVIEW

This article reviews the impact and importance of delirium on patients admitted to the ICU after trauma, including the latest work on prevention and treatment of this condition. As the population ages, the incidence of geriatric trauma will continue to increase with a concomitant rise in the patient and healthcare costs of delirium in this population.

RECENT FINDINGS

Recent studies have further defined the risk factors for delirium in the trauma ICU patient population, as well as better demonstrated the poor outcomes associated with the diagnosis of delirium in these patients. Recent trials and meta-analysis offer some new evidence for the use of dexmedetomidine and quetiapine as preferred agents for prevention and treatment of delirium and add music interventions as a promising part of nonpharmacologic bundles.

SUMMARY

Trauma patients requiring admission to the ICU are at significant risk of developing delirium, an acute neuropsychiatric disorder associated with increased healthcare costs and worse outcomes including increased mortality. Ideal methods for prevention and treatment of delirium are not well established, especially in this population, but recent research helps to clarify optimal prevention and treatment strategies.

Delirium in hospitalised adults with acute burns - A systematic review

INTRODUCTION

Delirium is a potentially modifiable, acutely altered mental state, commonly characterised as a hospital-acquired complication. Studies of adult inpatients with acute burns with and without delirium identify causative risks related to the injury or treatment and outcomes related to the patient and healthcare system. We compare patients with and without delirium, providing a high-level quantitative synthesis of delirium risks and outcomes to inform guidelines and future research.

METHODS

A systematic review, meta-analysis and GRADE evaluation of risks and outcomes associated with delirium in adults with acute burns was conducted using PRISMA guidelines and PROSPERO protocol CRD42021283055. The Newcastle-Ottawa Scale was used to assess quality.

RESULTS

Investigators reviewed ten studies. ASA score ≥ 3, Total Body Surface Area Percentage (TBSA)> 10%, surgery done, ICU admission, hospital and also Intensive Care Unit (ICU) lengths of stay all had statistically significant associations with delirium, with low-very low certainty on GRADE evaluation. Limitations were heterogeneous studies, review methodology and study bias.

CONCLUSION

Delirium represents a significant risk to comorbid patients with burns that are hospitalised, receive ICU care, and surgery. Further research is indicated to precisely categorise delirium along the clinical journey to identify modifiable factors, prevention, and proactive therapy.

Research progress on risk factors of delirium in burn patients: A narrative review

Delirium, an acute brain dysfunction, is a common and serious complication in burn patients. The occurrence of delirium increases the difficulty of patient treatment, is associated with various adverse outcomes, and increases the burden on the patient's family. Many scholars have studied the factors that cause delirium, but the causes, pathogenesis, and treatment of delirium in burn patients have not been fully revealed. There is no effective pharmacological treatment for delirium, but active preventive measures can effectively reduce the incidence of delirium in burn patients. Therefore, it is necessary to study the relevant factors affecting the occurrence of delirium in burn patients. This study was conducted on December 20, 2021 by searching the PubMed database for a narrative review of published studies. The search strategy included keywords related to "burns," "delirium," and "risk factors." We reviewed the characteristics of delirium occurrence in burn patients and various delirium assessment tools, and summarized the risk factors for the development of delirium in burn patients in terms of personal, clinical, and environmental factors, and we found that although many risk factors act on the development of delirium in burn patients, some of them, such as clinical and environmental factors, are modifiable, suggesting that we can estimate the exposure of burn patients to risk factors by assessing their likelihood of delirium occurring and to make targeted interventions that provide a theoretical basis for the prevention and treatment of burn delirium.

Addition of admission lactate levels to Baux score improves mortality prediction in severe burns

Risk adjustment and mortality prediction models are central in optimising care and for benchmarking purposes. In the burn setting, the Baux score and its derivatives have been the mainstay for predictions of mortality from burns. Other well-known measures to predict mortality stem from the ICU setting, where, for example, the Simplified Acute Physiology Score (SAPS 3) models have been found to be instrumental. Other attempts to further improve the prediction of outcome have been based on the following variables at admission: Sequential Organ Failure Assessment (_aSOFA) score, determinations of _aLactate or Neutrophil to Lymphocyte Ratio (_aNLR). The aim of the present study was to examine if estimated mortality rate (EMR, SAPS 3), _aSOFA, _aLactate, and _aNLR can, either alone or in conjunction with the others, improve the mortality prediction beyond that of the effects of age and percentage total body surface area (TBSA%) burned among patients with severe burns who need critical care. This is a retrospective, explorative, single centre, registry study based on prospectively gathered data. The study included 222 patients with median (25th–75th centiles) age of 55.0 (38.0 to 69.0) years, TBSA% burned was 24.5 (13.0 to 37.2) and crude mortality was 17%. As anticipated highest predicting power was obtained with age and TBSA% with an AUC at 0.906 (95% CI 0.857 to 0.955) as compared with EMR, _aSOFA, _aLactate and _aNLR. The largest effect was seen thereafter by adding _aLactate to the model, increasing AUC to 0.938 (0.898 to 0.979) (p < 0.001). Whereafter, adding EMR, _aSOFA, and _aNLR, separately or in combinations, only marginally improved the prediction power. This study shows that the prediction model with age and TBSA% may be improved by adding _aLactate, despite the fact that _aLactate levels were only moderately increased. Thereafter, adding EMR, _aSOFA or _aNLR only marginally affected the mortality prediction.