Cognitive function mediates the relationship between age and anaesthesia-induced oscillatory-specific alpha power.

Cognitive decline is common among older individuals, and although the underlying brain mechanisms are not entirely understood, researchers have suggested using EEG frontal alpha activity during general anaesthesia as a potential biomarker for cognitive decline. This is because frontal alpha activity associated with GABAergic general anaesthetics has been linked to cognitive function. However, oscillatory-specific alpha power has also been linked with chronological age. We hypothesize that cognitive function mediates the association between chronological age and (oscillatory-specific) alpha power. We analysed data from 380 participants (aged over 60) with baseline screening assessments and intraoperative EEG. We utilized the telephonic Montreal Cognitive Assessment to assess cognitive function. We computed total band power, oscillatory-specific alpha power, and aperiodics to measure anaesthesia-induced alpha activity. To test our mediation hypotheses, we employed structural equation modelling. Pairwise correlations between age, cognitive function and alpha activity were significant. Cognitive function mediated the association between age and classical alpha power [age → cognitive function → classical alpha; ß = -0.0168 (95% confidence interval: -0.0313 to -0.00521); P = 0.0016] as well as the association between age and oscillatory-specific alpha power [age → cognitive function → oscillatory-specific alpha power; ß = -0.00711 (95% confidence interval: -0.0154 to -0.000842); P = 0.028]. However, cognitive function did not mediate the association between age and aperiodic activity (1/f slope, P = 0.43; offset, P = 0.0996). This study is expected to provide valuable insights for anaesthesiologists, enabling them to make informed inferences about a patient's age and cognitive function from an analysis of anaesthetic-induced EEG signals in the operating room. To ensure generalizability, further studies across different populations are needed.

Exploring the Pathophysiology of Delirium: An Overview of Biomarker Studies, Animal Models, and Tissue-Engineered Models.

Delirium is an acute brain disorder associated with disorganized thinking, difficulty focusing, and confusion that commonly follows major surgery, severe infection, and illness. Older patients are at high risk for developing delirium during hospitalization, which may contribute to increased morbidity, longer hospitalization, and increased risk of institutionalization following discharge. The pathophysiology underlying delirium remains poorly studied. This review delves into the findings from biomarker studies and animal models, and highlights the potential for tissue-engineered models of the brain in studying this condition. The aim is to bring together the existing knowledge in the field and provide insight into the future direction of delirium research.

Patient hesitancy in perioperative clinical trial enrollment during the COVID-19 pandemic.

The COVID-19 pandemic has caused tremendous disruptions to non-COVID-19 clinical research. However, there has been little investigation on how patients themselves have responded to clinical trial recruitment during the COVID-19 pandemic. To investigate the effect of the COVID-19 pandemic on rates of patient consent to enrollment into non-COVID-19 clinical trials, we carried out a cross-sectional study using data from the Nitric Oxide/Acute Kidney Injury (NO/AKI) and Minimizing ICU Neurological Dysfunction with Dexmedetomidine-Induced Sleep (MINDDS) trials. All patients eligible for the NO/AKI or MINDDS trials who came to the hospital for cardiac surgery and were approached to gain consent to enrollment were included in the current study. We defined "Before COVID-19" as the time between the start of the relevant clinical trial and the date when efforts toward that clinical trial were deescalated by the hospital due to COVID-19. We defined "During COVID-19" as the time between trial de-escalation and trial completion. 5,015 patients were screened for eligibility. 3,851 were excluded, and 1,434 were approached to gain consent to enrollment. The rate of consent to enrollment was 64% in the "Before COVID-19" group and 45% in the "During COVID-19" group (n = 1,334, P<0.001) (RR = 0.70, 95% CI 0.62 to 0.80, P<0.001). Thus, we found that rates of consent to enrollment into the NO/AKI and MINDDS trials dropped significantly with the onset of the COVID-19 pandemic. Patient demographic and socioeconomic status data collected from electronic medical records and patient survey data did not shed light on possible explanations for this observed drop, indicating that there were likely other factors at play that were not directly measured in the current study. Increased patient hesitancy to enroll in clinical trials can have detrimental effects on clinical science, patient health, and patient healthcare experience, so understanding and addressing this issue during the COVID-19 pandemic is crucial.

Preliminary Study of Serum Biomarkers Associated With Delirium After Major Cardiac Surgery.

OBJECTIVES: The objective of this study was to identify novel serum biomarkers specific to postoperative delirium after major cardiac surgery to provide insight into the pathologic processes involved in delirium and its sequelae. DESIGN: Nested, case-control study. SETTING: Cardiac surgical intensive care unit in a single-site hospital setting. PARTICIPANTS: The study comprised 24 older adults (aged >60 years) undergoing major cardiac surgery with cardiopulmonary bypass. INTERVENTIONS: None. MEASUREMENTS AND MAIN RESULTS: The primary outcome was a positive screen for delirium from postoperative days one through three based on criteria included in the long form of the Confusion Assessment Method. A multiplexed proteomic approach was applied using proximity extension assays to identify and quantify proteins found in serum collected on the day of surgery and postoperative day one in delirious and nondelirious patient cohorts. An increase in serum fibroblast growth factor (FGF)-21 levels was identified in the delirious cohort from a presurgery baseline of (mean ± standard deviation) 5.0 ± 1.1 log2 abundance (95% confidence interval [CI], 4.3-5.7) to 6.7 ± 1.6 log2 abundance (95% CI, 5.7-7.7; p = 0.01) postsurgery. A similar increase was identified in FGF-23 from a presurgery baseline of 1.7 ± 1.3 log2 abundance (95% CI, 0.8-2.5) to 3.4 ± 2.2 log2 abundance (95% CI, 2.0-4.8; p = 0.06) postsurgery. An increase in interleukin-6 serum levels also was identified in the delirious cohort from a presurgery baseline of 3.8 ± 1.1 log2 abundance (95% CI, 3.1-4.5) to 8.7 ± 1.9 log2 abundance (95% CI, 7.5-9.9; p < 0.0001) postsurgery. However, the increase in interleukin-6 serum levels of the nondelirious cohort also met the study's threshold for statistical significance (p < 0.0001). Finally, an increase in monocyte chemotactic protein-3 serum levels was identified in the delirious cohort from a presurgery baseline of 4.1 ± 0.9 log2 abundance (95% CI, 3.6-4.7) to 6.1 ± 2.0 log2 abundance (95% CI, 4.8-7; p = 0.009) postsurgery. CONCLUSIONS: FGF-21, FGF-23, interleukin-6, and monocyte chemotactic protein-3 serum levels were increased postoperatively in patients who developed delirium after major cardiac surgery. This study identified two members of the FGF family as potential putative systemic biomarkers for postoperative delirium after cardiac surgery, suggesting a possible role for metabolic recovery in the pathophysiologic mechanisms underlying neurocognitive dysfunction.