Sleep during and following critical illness: A narrative review

Evaluation of postoperative delirium in cardiac surgery patients with the SDACS screening tool: a multicenter-multiphase study

OBJECTIVE

Postoperative delirium is a prevalent complication in cardiac surgery patients, highlighting the importance of early risk factor identification for optimal management. This study aimed to pinpoint risk factors and devise a novel screening tool, the Screening Tool for Delirium After Cardiac Surgery (SDACS), to predict postoperative delirium in cardiac surgery patients after the first day.

MATERIALS AND METHODS

This study employed a multiphase design consisting of three phases. In the first phase, through a scoping review of 38 finally selected published papers, 136 potential risk factors for identifying delirium after cardiac surgery were identified. These risk factors were then incorporated into three Delphi rounds of expert panels to develop a screening tool for postoperative delirium. Finally, 76 potential risk factors were examined on 920 cardiac surgery patients at three academic institutions between 2020 and 2023 (third phase of the study). All predictors were included into a screening instrument (SDACS), and the regression coefficient of each predictor was transformed into a risk score.

RESULTS

Delirium was diagnosed in 53% (n = 488) of 920 patients. Four independent predictors of delirium were identified: chronic opioid use (OR: 4.605, 95% CI: 2.163-9.804), hearing impairment (OR: 6.926, 95% CI: 3.630-12.215), benzodiazepine history (OR: 8.506, 95% CI: 5.651-11.805), and poor sleep quality on the first night after cardiac surgery (OR: 9.081, 95% CI: 6.225-12.248). The cross-validated area under receiver operating characteristics curve (AUC) for the screening instrument was 0.897 (95% CI: 0.876-0.916; P < 0.001).

CONCLUSION

Chronic opioid use, hearing impairment, benzodiazepine history, and poor sleep quality post-surgery are linked to postoperative delirium in cardiac surgery patients. The SDACS screening tool effectively forecasts this syndrome early, offering bedside nurses a valuable tool for prompt intervention and improved patient outcomes. The SDACS screening tool aids in early delirium risk assessment, enabling timely interventions and better patient outcomes. By predicting postoperative delirium accurately, nurses can address risk factors proactively, potentially reducing its incidence and severity, leading to improved postoperative outcomes for patients.

Critical illness-based chronic disease: a new framework for intensive metabolic support

PURPOSE OF REVIEW

This review addresses the novel concept of critical illness as a potential chronic disease. The high clinical and economic burdens of chronic critical illness and post-ICU syndromes are mainly due to refractoriness to therapy and consequently lead to significant complications. Interventions need to be preventive in nature and therefore a robust disease model is warranted.

RECENT FINDINGS

There are three paradigms that are leveraged to create a new critical illness-based chronic disease (CIBCD) model: metabolic model of critical illness, intensive metabolic support (IMS; insulinization and nutrition support), and driver-based chronic disease modeling. The CIBCD model consists of four stages: risk, predisease, (chronic) disease, and complications. The principal goal of the CIBCD model is to expose early opportunities to prevent disease progression, particularly further morbidity, complications, and mortality. IMS is used to target seminal pathophysiological events such as immune-neuroendocrine axis (INA) activation and failure to downregulate INA activation because of preexisting chronic diseases and recurrent pathological insults.

SUMMARY

The CIBCD model complements our understanding of critical illness and provides needed structure to preventive actions that can improve clinical outcomes. Many research, knowledge, and practice gaps exist, which will need to be addressed to optimize and validate this model.

Feasibility challenges in protein supplementation research: Insights from the convalescence of functional outcomes after intensive care unit stay in a Randomised Controlled Trial

BACKGROUND & AIMS

Dietary protein supplementation may benefit physical outcomes in post-intensive care unit (ICU) patients suffering ICU-acquired weakness (ICU-AW). This study examines the impact of a six-week protein supplementation compared to an isocaloric carbohydrate on physical functioning outcomes in post-ICU patients with a follow-up of 12 weeks after ICU discharge. This paper presents descriptive data, feasibility outcomes, and the barriers faced while conducting this nutritional intervention study in post-ICU patients.

METHODS

This two-arm, randomised, double-blind controlled intervention trial involved adult patients (≥18 y) who were admitted to the ICU for ≥72 h with moderate ICU-AW (Medical Research Council (MRC) score 24-48). Patients were randomly assigned to receive 22 g of collagen peptides supplementation or an isocaloric carbohydrate twice daily. The primary outcome was a composite score for physical functioning comprising handgrip strength, leg muscle strength, arm muscle strength, and exercise capacity, adjusted for age, sex, and body weight. Secondary endpoints included nutritional intake and biomarkers, scores in other post-intensive care syndrome (PICS) domains, and mortality rates. Descriptive data is presented, no between-intervention group analyses were conducted due to incomplete sample size.

RESULTS

A total of 900 patients were screened for eligibility to participate in the study, of whom 59 met the requisite criteria between April 2022 and December 2023. The most common reasons for exclusion were treatment limitations, diabetes mellitus, or an MRC score <24 or above >48. Of the 59 patients deemed eligible, 15 patients were included to participate in the study. Due to the slow inclusion rate, the study was terminated early (at ∼20 % of anticipated sample size). At baseline (ICU discharge), patients initially had lower physical scores than reference values but showed improved (higher) scores at three months post-ICU discharge. Differences between the groups regarding the primary outcome (composite score of physical functioning) could not be identified due to early termination. Factors affecting the feasibility of nutrition research in post-ICU patients were identified, including slow patient recruitment rates, low adherence to the intervention, and the inability to complete outcome assessments.

CONCLUSIONS

Patients exhibited initial physical functioning scores below the reference values yet demonstrated substantial physical recuperation by the 12-week mark following their ICU discharge in both groups. Patients exhibited lower scores in all domains of PICS compared to reference values, emphasising the necessity for further investigation into the potential role of nutrition interventions in preventing and alleviating PICS symptoms. Furthermore, this study describes the factors affecting the feasibility of post-ICU intervention studies and provides recommendations for future studies on effective design and conduction of studies to address PICS (This study was supported by Rousselot; Confucius ClinicalTrials.gov number, NCT05405764).

Optimizing Sleep Disorder Management in Hospitalized Patients: Practical Approach for Healthcare Providers

PURPOSE

To provide a comprehensive review of sleep disturbances in hospitalized patients, focusing on a case-based approach to illustrate the multifaceted nature of this clinical challenge.

METHOD

An extensive review of related literature was conducted to determine the common causes of sleep disturbances in hospitalized patients, such as environmental, medical, psychological, and physiological factors. The case of Mrs. Z was used to illustrate how these factors interact in a clinical setting.

FINDINGS

The study revealed a high prevalence of sleep disturbances in hospitalized patients, which can lead to significant adverse outcomes. A multidisciplinary approach involving physicians, nurses, pharmacists, and other healthcare professionals is essential to effectively manage sleep disorders due to the interplay of various factors. Nonpharmacological interventions are fundamental to a comprehensive sleep management plan. Pharmacotherapy may sometimes be necessary to improve sleep quality and duration.

CONCLUSION

Health professionals can significantly enhance the sleep quality of hospitalized piatients by understanding the value of sleep and providing evidence-based strategies for improvement. In return, this improves patient outcomes, reduces healthcare costs, and advances general patient satisfaction.

Biomarkers and patient-related factors associated with clinical outcomes in dupilumab-treated atopic dermatitis

Background

Atopic dermatitis (AD) is a common chronic eczematous skin disease with severe pruritus. Several new therapeutic agents for AD such as dupilumab, an anti-IL-4Rα antibody, have been developed in recent years. We need to predict which agent is the best choice for each patient, but this remains difficult.

Objective

Our aim was to examine clinical background factors and baseline biomarkers that could predict the achievement of improved clinical outcomes in patients with AD treated with dupilumab.

Methods

A multicenter, prospective observational study was conducted on 110 patients with AD. The Eczema Area and Severity Index was used as an objective assessment, and the Patient-Oriented Eczema Measure and Numerical Rating Scale for Pruritus were used as patient-reported outcomes. In addition, some clinical background factors were evaluated.

Results

The achievement of an absolute Eczema Area and Severity Index of 7 or less was negatively associated with current comorbidity of food allergy and baseline serum lactate dehydrogenase (LDH) levels. There were negative associations between achievement of a Patient-Oriented Eczema Measure score of 7 or less and duration of severe AD and between achievement of an itching Numerical Rating Scale for Pruritus score of 1 or less and current comorbidity of allergic conjunctivitis or baseline serum periostin level. Furthermore, signal detection analysis showed that a baseline serum LDH level less than 328 U/L could potentially be used as a cutoff value for predicting the efficacy of dupilumab.

Conclusion

Baseline biomarkers such as LDH and periostin and clinical background factors such as current comorbidity of food allergy and a long period of severe disease may be useful indicators when choosing dupilumab for systemic treatment for AD, as they can predict the efficacy of dupilumab.

Effect of the Levels and Sources of Noise on the Sleep Quality of Conscious Patients in Emergency Intensive Care Unit

PURPOSE

This study aimed to assess the levels and sources of noise in the emergency intensive care unit (EICU) of an emergency department and investigate their effects on the sleep quality of conscious patients.

METHODS

A study was conducted on patients admitted to the EICU from December 2020 to December 2023. They were categorised according to their sleep quality with the Pittsburgh Sleep Quality Index. Environmental noise levels were measured using precision sound level metres and environmental noise automatic monitoring instruments. Data analysis was performed using SPSS version 25.0, and Chi-square test, Fisher's exact probability and t-tests were conducted when applicable. The significance threshold was set at P < 0.05. Regression analysis was carried out for indicators with significant differences.

RESULTS

A total of 200 patients were included in the study. Of them 96 in the ideal sleep group and 104 in the non-ideal sleep group. Patients with non-ideal sleep experienced significantly higher noise levels across various measures (P < 0.05). Additionally, patients with non-ideal sleep reported significantly higher occurrences of noise-related awakening, difficulty in falling asleep, nightmares or vivid dreams and sleepwalking episodes (P < 0.05). Significant differences in staff activities, including staff conversations, equipment noise exposure, cleaning activities, patient interventions and overhead pages, were observed between the groups (P < 0.05). Multivariate logistic regression analysis indicating that the average noise level, conversational speech, equipment alarms, ambient noise, peak noise levels, staff conversations, cleaning activities, patient interventions and overhead pages were significant contributors to poor sleep.

CONCLUSION

The study suggested that high noise levels and staff-related activities affected the sleep quality of conscious patients in the EICU. Targeted measures could improve the prognoses of patients.

A multicentre point prevalence study of nocturnal hours awake and enteral pharmacological sleep aids in patients admitted to Australian and New Zealand intensive care units

Objective

Critically ill patients suffer disrupted sleep. Hypnotic medications may improve sleep; however, local epidemiological data regarding the amount of nocturnal time awake and the use of such medications is needed.

Design

Point prevalence study.

Setting

Adult ICUs in Australia and New Zealand.

Participants

All adult patients admitted to participating Intensive Care Units (ICUs) on the study day.

Main outcome measures

Time awake overnight (22:00-06:00) was determined by structured nurse observation. The use of enterally administered sedative-hypnotic drugs prior to and during ICU admission was recorded, as was the use of a unit policy and non-pharmacological sleep promotion strategies.

Results

Data were available for 532 patients admitted to 40 ICUs (median age 60 years, 336 (63.2%) male, and 222 (41.7%) invasively ventilated). Forty-eight patients (9.0%) received an enteral pharmacological sleep aid, of which melatonin (28, 5.2%) was most frequently used. Patients not invasively ventilated were observed to be awake overnight for a median of 4.0 h (interquartile range (IQR): 2.5, 5.5), with no difference in those receiving an enteral hypnotic (p = 0.9). Non-pharmacological sleep aids were reportedly not offered or available for 52% (earplugs) and 63% of patients (eye masks). Only 7 (17.5%) participating ICUs had a policy informing sleep-optimising interventions.

Conclusions

Patients not receiving invasive ventilation appeared to spend many nocturnal hours awake. Pharmacological sleep aid administration was not associated with a greater observed time asleep. Most patients did not receive any non-pharmacological aid, and most ICUs did not have a local guideline or unit policy on sleep promotion.

Propofol improves sleep deprivation-induced sleep structural and cognitive deficits via upregulating the BMAL1 expression and suppressing microglial M1 polarization

BACKGROUND

Sleep deprivation (SD) is a growing global health problem with many deleterious effects, such as cognitive impairment. Microglia activation-induced neuroinflammation may be an essential factor in this. Propofol has been shown to clear sleep debt after SD in rats. This study aims to evaluate the effects of propofol-induced sleep on ameliorating sleep quality impairment and cognitive decline after 48 h SD.

METHODS

Almost 8-12-week-old rats were placed in the SD system for 48 h of natural sleep or continuous SD. Afterwards, rats received propofol (20 mg·kg-1·h-1, 6 h) via the tail or slept naturally. The Morris water maze (MWM) and Y-maze test assessed spatial learning and memory abilities. Rat EEG/EMG monitored sleep. The expression of brain and muscle Arnt-like protein 1 (BMAL1), brain-derived neurotrophic factor (BDNF) in the hippocampus and BMAL1 in the hypothalamus were assessed by western blot. Enzyme-linked immunosorbent assay detected IL-6, IL-1β, arginase 1 (Arg1), and IL-10 levels in the hippocampus. Immunofluorescence was used to determine microglia expression as well as morphological changes.

RESULTS

Compared to the control group, the sleep-deprived rats showed poor cognitive performance on both the MWM test and the Y-maze test, accompanied by disturbances in sleep structure, including increased total sleep time, and increased time spent and delta power in non-rapid eye movement sleep. In addition, SD induces abnormal expression of the circadian rhythm protein BMAL1, activates microglia, and causes neuroinflammation and nerve damage. Propofol reversed these changes and saved sleep and cognitive impairment. Furthermore, propofol treatment significantly reduced hippocampal IL-1β and IL-6 levels, increased BDNF, Arg1, and IL-10 levels, and switched microglia surface markers from the inflammatory M1 type to the anti-inflammatory M2 type.

CONCLUSION

Propofol reduces SD-induced cognitive impairment and circadian rhythm disruption, possibly by lowering neuronal inflammation and switching the microglia phenotype from an M1 to an M2 activated state, thus exerting neuroprotective effects.

Unmasking the hidden aftermath: postintensive care unit sequelae, discharge preparedness, and long-term follow-up

A significant portion of individuals who have experienced critical illness encounter new or exacerbated impairments in their physical, cognitive, or mental health, commonly referred to as postintensive care syndrome. Moreover, those who survive critical illness often face an increased risk of adverse consequences, including infections, major cardiovascular events, readmissions, and elevated mortality rates, during the months following hospitalization. These findings emphasize the critical necessity for effective prevention and management of long-term health deterioration in the critical care environment. Although conclusive evidence from well-designed randomized clinical trials is somewhat limited, potential interventions include strategies such as limiting sedation, early mobilization, maintaining family presence during the intensive care unit stay, implementing multicomponent transition programs (from intensive care unit to ward and from hospital to home), and offering specialized posthospital discharge follow-up. This review seeks to provide a concise summary of recent medical literature concerning long-term outcomes following critical illness and highlight potential approaches for preventing and addressing health decline in critical care survivors.