Current status of delirium assessment tools in the intensive care unit: a prospective multicenter observational survey

Cognitive impairment in critically ill patients and former critically ill patients: A concept analysis

OBJECTIVES

This concept analysis aimed to clarify the meaning of the concept of cognitive impairment in critically ill patients throughout the trajectory of their rehabilitation during and after an intensive care unit admission.

REVIEW METHODS USED

This study used concept analysis based on Rodgers' evolutionary method.

DATA SOURCES

A systematic search was conducted in Cumulative Index to Nursing and Allied Health Literature, Public MEDLINE, and American Psychological Associations PsycINFO. The web was searched for grey literature.

REVIEW METHODS

Overall search terms used were "patients with cognitive impairments" AND "intensive care unit". Literature published between 2008 and 2022 was included and screened by title and abstract using systematic review software. The descriptive analysis focussed on surrogate terms/related concepts, attributes, and contextual basis.

RESULTS

Thirty studies were included, representing variability in study design and country of origin. The analysis uncovered descriptions of the general terminology and the temporal trajectory of the concept, spanning from the acute phase to a long-term perspective. Attributes of the concept were described as delirium and domains of cognition. Antecedents were juxtaposed to risk factors, which were multifactorial. Consequences of cognitive impairment related to patients' quality of life, such as a decline in their ability to function independently, return to work, and manage everyday life. Also, cognitive impairment was identified as a significant public health problem.

CONCLUSION

Cognitive impairment is a complex concept with many surrogate and related terms. Furthermore, the concept is inextricably intertwined with the concepts of delirium and post-intensive care syndrome. Cognitive impairment may manifest as symptoms that can be challenging to identify and assess due to limitations in current screening tools and the absence of a consensus on timing. In relation to assessment and preventive strategies, the findings underline the need to distinguish between acute and long-term cognitive impairment.

REGISTRATION

There is no study registration number.

Nurses' experiences of managing cognitive problems in intensive care unit patients: A qualitative study

OBJECTIVES

Nurses hold a key position in identifying symptoms and initiating preventive strategies for cognitive impairment in delirious and non-delirious intensive care unit patients. However, it remains unclear whether nurses consider cognitive impairment as a distinct concern from delirium. By understanding nurses' perspectives, we may identify barriers and facilitators in caring for patients with cognitive challenges in the intensive care unit. The objective of this study was to explore nurses' experiences of cognitive problems in patients admitted to an intensive care unit.

RESEARCH METHODOLOGY

A phenomenological-hermeneutic study of interviews with ten nurses from intensive care units. Data were collected in March-April 2022 and analysed using a Ricœur-inspired method of interpretation.

FINDINGS

Three themes related to nurses' experiences of cognitive problems emerged through analysis; 1) Cognitive problems and delirium are seen as two sides of the same coin, 2) Searching for the person behind the patient, and 3) Maintaining a sense of normality in a confusing environment.

CONCLUSIONS

The interconnected concept of cognitive impairment and delirium syndrome meant that nurses assessed and managed cognitive problems in intensive care unit patients by focusing on preventing delirium. Apart from delirium screening, nurses relied on relatives' knowledge to assess patients' cognition. Most significantly, our study revealed a previously unexplored approach by nurses to manage patients' cognition, which involved "shielding" patients from the noisy and disruptive intensive care unit environment.

IMPLICATIONS FOR CLINICAL PRACTICE

Effective communication methods, coupled with family involvement may aid nurses in identifying patients' cognitive problems. In the acute phase of critical illness, distinguishing between delirium and cognitive problems may not be clinically relevant, as delirium protocols may protect patients' cognition. Further investigating the concept of shielding may reveal previously unexplored nursing approaches to manage cognitive problems.

Diagnosing delirium in perioperative and intensive care medicine

PURPOSE OF REVIEW

This article reviews the current literature on instruments used for screening and diagnosing delirium in perioperative and intensive care medicine. It summarizes recent findings to guide clinicians and researchers in choosing the most appropriate tools.

RECENT FINDINGS

The incidence of delirium in hospitalized patients ranges from 5% to over 50%, depending on the population of patients studied. Failure to diagnose delirium in a timely manner is associated with serious adverse outcomes, including death and institutionalization. Valid assessment tests are needed for delirium detection, as early identification and treatment of delirium may help to prevent complications. Currently, there are more than 30 available instruments, which have been developed to assist with the screening and diagnosis of delirium. However, these tools vary greatly in sensitivity, specificity, and administration time, and their overabundance challenges the selection of specific tool as well as direct comparisons and interpretation of results across studies.

SUMMARY

Overlooking or misdiagnosing delirium may result in poor patient outcomes. Familiarizing healthcare workers with the variety of delirium assessments and selecting the most appropriate tool to their needs is an important step toward improving awareness and recognition of delirium.

Dynamic Delirium Prediction in the Intensive Care Unit using Machine Learning on Electronic Health Records

Delirium is a syndrome of acute brain failure which is prevalent amongst older adults in the Intensive Care Unit (ICU). Incidence of delirium can significantly worsen prognosis and increase mortality, therefore necessitating its rapid and continual assessment in the ICU. Currently, the common approach for delirium assessment is manual and sporadic. Hence, there exists a critical need for a robust and automated system for predicting delirium in the ICU. In this work, we develop a machine learning (ML) system for real-time prediction of delirium using Electronic Health Record (EHR) data. Unlike prior approaches which provide one delirium prediction label per entire ICU stay, our approach provides predictions every 12 hours. We use the latest 12 hours of ICU data, along with patient demographic and medical history data, to predict delirium risk in the next 12-hour window. This enables delirium risk prediction as soon as 12 hours after ICU admission. We train and test four ML classification algorithms on longitudinal EHR data pertaining to 16,327 ICU stays of 13,395 patients covering a total of 56,297 12-hour windows in the ICU to predict the dynamic incidence of delirium. The best performing algorithm was Categorical Boosting which achieved an area under receiver operating characteristic curve (AUROC) of 0.87 (95% Confidence Interval; C.I, 0.86-0.87). The deployment of this ML system in ICUs can enable early identification of delirium, thereby reducing its deleterious impact on long-term adverse outcomes, such as ICU cost, length of stay and mortality.

Current Trends for Delirium Screening within the Emergency Department

Delirium is an acute neurological disorder that involves attention and cognition. It is associated with a high risk of morbidity and mortality among older people (>65 years old). In the context of the Emergency Department (ED), it is frequently experienced by patients but often not recognized. Literature studies have identified some screening instruments for an initial evaluation of delirium. Most of these tools have not been validated yet in the context of emergencies, but, in other settings, they were very useful for assessing and maximizing the recognition of this condition among older patients. We conducted a review of the literature, including randomized control trials, clinical and observational studies, and research studies published in recent years, confirming that most of the screening tools for delirium used in the intensive care unit (ICU) or the geriatric department have not been tested in the ED, and the ideal timing and form of the delirium assessment process for older adults have not been defined yet. The aim of our review is to summarize the updated evidence about the screening tools for delirium in the context of the ED, due to the fact that overcrowding of the ED and the stressful condition of emergency situations (that contribute to the onset of delirium) could expose older patients to a high risk of complications and mortality if delirium is not promptly recognized. In conclusion, we support the evidence that delirium is a current and real condition that emergency physicians have to face daily, and we are aware that more research is needed to explore this field in order to improve the overall outcomes of older patients admitted to the ED.

Prevalence and Risk Factors of Delirium in Patients Admitted to Intensive Care Units: A Multicentric Cross-Sectional Study

Background Delirium is a common and serious complication among critically ill patients in the intensive care unit. Knowledge of the risk factors of delirium can help tremendously in the diagnosis of delirium. Methods In April of 2023, a cross-sectional multicenter study was conducted in eight intensive care units (ICUs) across Pakistan. Delirium was assessed using the intensive care delirium screening checklist. Demographic and clinical data were collected, and multivariable logistic regression analysis was performed to identify predictors of delirium. A total of 256 patients were enrolled in the study. Results The mean age of participants was 56 (S.D. 12) years. The point prevalence of delirium was 39%, and the point prevalence did not vary significantly among the participating intensive care units. Advanced age, higher Acute Physiology and Chronic Health Evaluation - IV (APACHE IV) scores, and higher Richmond Agitation-Sedation Scale (RASS) scores at enrollment were identified as significant predictors of delirium. Conclusion The high prevalence of delirium, observed at 39.0%, emphasizes the importance of proactive screening and effective management strategies in the ICU setting. Healthcare providers in Pakistan should be mindful of these risk factors and implement preventive measures to minimize the occurrence of delirium in critically ill patients. Further research and implementation of targeted interventions are warranted to improve patient outcomes and enhance the overall quality of care in this population.

ICU Delirium in Cardiac Patients

Delirium is a prevalent complication in critically ill medical and surgical cardiac patients. It is associated with increased morbidity and mortality, prolonged hospitalizations, cognitive impairments, functional decline, and hospital costs. The incidence of delirium in cardiac patients varies based on the criteria used for the diagnosis, the population studied, and the type of surgery (cardiac or not cardiac). Delirium experienced when cardiac patients are in the intensive care unit (ICU) is likely preventable in most cases. While there are many protocols for recognizing and managing ICU delirium in medical and surgical cardiac patients, there is no homogeneity, nor are there established clinical guidelines. This review provides a comprehensive overview of delirium in cardiac patients and highlights its presentation, course, risk factors, pathophysiology, and management. We define cardiac ICU patients as both medical and postoperative surgical patients with cardiac disease in the ICU. We also highlight current controversies and future considerations of innovative therapies and nonpharmacological and pharmacological management interventions. Clinicians caring for critically ill patients with cardiac disease must understand the complex syndrome of ICU delirium and recognize the impact of delirium in predicting long-term outcomes for ICU patients.

Risk factors and consequences of post-esophagectomy delirium: a systematic review and meta-analysis

Post-operative delirium (POD) is a state of mental and neurocognitive impairment characterized by disorientation and fluctuating levels of consciousness. POD in the context of esophageal surgery may herald serious and potentially life-threatening post-operative complications, or conversely be a symptom of severe underlying pathophysiologic disturbances. The aim of the present systematic review and meta-analysis is to explore risk factors associated with the development of POD and assess its impact on post-operative outcomes. A systematic literature search of the MedLine, Web of Science, Embase and Cochrane CENTRAL databases and the clinicaltrials.gov registry was undertaken. A random-effects model was used for data synthesis with pooled outcomes expressed as Odds Ratios (OR), or standardized mean differences (WMD) with corresponding 95% Confidence Intervals. Seven studies incorporating 2449 patients (556 with POD and 1893 without POD) were identified. Patients experiencing POD were older (WMD 0.29 ± 0.13 years, P < 0.001), with higher Charlson's Comorbidity Index (CCI; WMD 0.31 ± 0.23, P = 0.007) and were significantly more likely to be smokers (OR 1.38, 95% CI 1.07-1.77, P = 0.01). Additionally, POD was associated with blood transfusions (OR 2.08, 95% CI 1.56-2.77, P < 0.001), and a significantly increased likelihood to develop anastomotic leak (OR 2.03, 95% CI 1.25-3.29, P = 0.004). Finally, POD was associated with increased mortality (OR 2.71, 95% CI 1.24-5.93, P = 0.01) and longer hospital stay (WMD 0.4 ± 0.24, P = 0.001). These findings highlight the clinical relevance and possible economic impact of POD after esophagectomy for malignant disease and emphasize the need of developing effective preventive strategies.

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.

Anesthetic Management Using Remimazolam for Transcatheter Edge-to-Edge Repair of the Mitral Valve in Patients With Reduced Ejection Fraction: A Case Report of Two Cases

Remimazolam is an ultrashort-acting benzodiazepine that causes minimal hemodynamic changes. We present two patients, with reduced ejection fraction, who underwent remimazolam anesthesia for transcatheter edge-to-edge repair of the mitral valve with the MitraClip system. In case 1, the patient’s vitals were stable throughout the surgery. However, in case 2, which had a lower cardiac output, the patient’s blood pressure decreased remarkably after anesthesia induction. Though remimazolam does not alter the cardiac output, it reportedly has vasodilatory effects. Since remimazolam can reduce blood pressure in patients where the reduction in cardiac output is compensated for by high peripheral vascular resistance, caution should be exercised.

Level of Delirium and its Contributing Factor among Patients in ICU

Background: Delirium is an acute state of confusion characterized by a rapid onset, usually within hours to days, with changes in consciousness and cognitive changes. Delirium may also present as a form of agitation in intensive care patients. Delirium can affect up to 80% of patients in intensive care units and increase their length of stay and cost of hospitalization. Objectives: The main aim of the study is to evaluate the level of Delirium and its contributing factors among patients in intensive care unit. Methods: A descriptive study design was adopted for the study with 60 samples that met the inclusion criteria and were selected using convenience sampling technique. Data for demographic variables were collected using multiple-choice questionnaires, followed by assessment of delirium using the Confusion Assessment Method (CAM) scale. Results: 20%) had mild delirium, 13 samples (21.7%) of moderate delirium and 13 samples (21.7%) of severe delirium. Regarding the demographic variables of delirium, diabetes rapidly had a statistically significant association with the degree of delirium in ICU patients at p < 0.05. Conclusion: Confusion assessment method (CAM) is an effective to find out the level of delirium among intensive care unit patients.