The Impact of Monitoring Depth of Anesthesia and Nociception on Postoperative Cognitive Function in Adult Multiple Trauma Patients

The Effect of Different Anesthesia Depths on Postoperative Cognitive Function of Tumor Patients Monitored by Narcotrend

Objectives  The study aimed to examine the influence of different anesthesia depths monitored by Narcotrend on postoperative cognitive dysfunction (POCD) in elderly patients undergoing radical resection of gastrointestinal malignancies. Methods  Individuals in the control group ( n  = 40) maintained the Narcotrend index (NTI) at 50 to 59 monitored by Narcotrend, whereas the experimental group at 30 to 39. The mini-mental state examination (MMSE) scale and serum S100β concentration were used to evaluate the cognitive function. Cerebral oxygen metabolism and inflammation were evaluated, presenting as regional oxygen saturations of brain (rSO 2 ) and cerebral oxygen uptake rate (CERO2), serum tumor necrosis factor-α (TNF-α), and interleukin-6 (IL-6). Results  Experimental group presented prominently high levels of rSO2 and low levels of CERO2 relative to controls, meanwhile with reduced serum TNF-α and IL-6. Individuals receiving deep anesthesia owned low levels of S100β and enhanced MMSE score, which showed negative correlation. Low incidence rate of POCD was detected in the experimental group. Both age (hazard ratio = 5.219, 95% confidence interval = 1.813-15.025) and NTI score (hazard ratio = 3.707, 95% confidence interval = 1.292-10.633) were independent influence factors for the onset of POCD. Conclusion  NTI maintained at 30 to 39 can reduce the incidence of POCD in the early postoperative period for elderly patients receiving gastrointestinal tumors surgery, the contribution might be attributed to the improvement of perioperative cerebral oxygen metabolism and inflammatory stress response.

Multi-layered data framework for enhancing postoperative outcomes and anaesthesia management through natural language processing

Anaesthesia management is a critical aspect of perioperative care, directly influencing postoperative recovery, pain management, and patient outcomes. Despite advancements in anaesthesia techniques, variability in patient responses and unexpected postoperative complications remain significant challenges. The research proposes a multi-layered architecture named Anaesthesia CareNet for analyzing data from diverse sources to enhance personalized anaesthesia management and postoperative outcome prediction. The architecture is structured into two primary layers: Data processing and Predictive Modeling. In the Data processing layer, advanced Natural Language Processing (NLP) techniques such as Named Entity Recognition (NER), normalization, lemmatization, and stemming are applied to clean and standardize the unstructured clinical data. Generative Pre-trained Transformer 3 (GPT-3), a Large Language Model (LLM) is employed as a feature extraction method, allowing the system to process and analyze complex clinical narratives and unstructured textual data from patient records. This enables more precise and personalized predictions, not only improving anaesthesia management but also laying the groundwork for broader applications in life sciences. The extracted data is passed into the predictive modeling layer, where the Intelligent Golden Eagle Fine-Tuned Logistic Regression (IGE-LR) model is applied. By analyzing correlations between patient characteristics, surgical details, and postoperative recovery patterns, IGE-LR enables the prediction of complications, pain management requirements, and recovery trajectories beyond anaesthesia; the methodology has potential applications in diverse areas such as diagnostics, drug discovery, and personalized medicine, where large-scale data analysis, predictive modeling, and real-time adaptability are crucial for improving patient outcomes. The proposed IGE-LR method achieves higher performance with 91.7 % accuracy, 90.6 % specificity, and 90 % AUC, with a recall of 91.3 %, precision of 90.1 %, and an F1-Score of 90.4 %. By leveraging advanced NLP and predictive analytics, Anaesthesia CareNet exemplifies how AI-driven frameworks can transform life sciences, advancing personalized healthcare and creating a more precise, efficient, and dynamic approach to treatment management.

Comparison of Adequacy of Anaesthesia (AoA) monitors with CONOX® monitor regarding sevoflurane consumption during routine general anaesthesia: A randomised clinical trial

Background and Aims

Adequacy of Anaesthesia (AoA) and CONOX® are combined monitors that assess levels of anaesthesia and analgesia and give a comprehensive score. No studies have measured and compared the total consumption of inhaled anaesthetic agents while using these monitors. We designed a study to compare AoA and CONOX in terms of sevoflurane usage, fentanyl usage and recovery from the effects of anaesthesia.

Methods

A randomised trial was conducted in 58 patients. Group A (n = 31) patients were monitored with AoA, and Group C (n = 27) patients were monitored with CONOX. Sevoflurane was titrated to maintain a state entropy value of 40-60 in AoA and a Quantium consciousness index (qCON) value of 40-60 in CONOX. Similarly, fentanyl was titrated with bolus doses of 0.5 μg/kg to maintain a surgical pleth index value of 40-60 in AoA and Quantium noxious index (qNOX) value of 40-60 in CONOX. Intraoperative awareness was assessed postoperatively using a modified Brice questionnaire. The t-test or Chi-square test was used to compare the parameters between the groups.

Results

Mean sevoflurane consumption was similar between AoA and CONOX groups [13.2 (standard deviation {SD}: 3.9) (95% confidence interval {CI}:11.8, 14.5) versus 14.4 (SD: 3.7) (95% CI: 13.0, 15.7) ml/h] (P = 0.236). Fentanyl usage was higher in the AoA group compared to the CONOX group [146.2 (SD: 34.28) (95% CI: 134.13, 158.26) versus 128.2 (SD: 26.7) (95% CI: 118.12, 138.27) μg] (P = 0.031). The emergence time and haemodynamic instability events were similar between AoA and CONOX.

Conclusion

Both AoA and CONOX measure anaesthetic depth similarly. However, interpreting qNOX values requires caution, as the patient's consciousness status influences them.

Intraoperative intensive blood pressure management strategy and the outcome of patients who had an acute ischaemic stroke undergoing endovascular treatment under general anaesthesia: study protocol for a prospective randomised controlled trial

BackgroundEndovascular thrombectomy is the recommended treatment for acute ischaemic stroke, but the optimal blood pressure management strategy during the procedure under general anaesthesia remains controversial. In this study protocol, we propose an intraoperative intensive blood pressure range (110-140 mm Hg systolic blood pressure) based on a retrospective analysis and extensive literature review. By comparing the outcomes of patients who had an acute ischaemic stroke undergoing mechanical thrombectomy under general anaesthesia with standard blood pressure management (140-180 mm Hg systolic blood pressure) versus intensive blood pressure management, we aim to determine the impact of intraoperative intensive blood pressure management strategy on patient prognosis.

METHODS AND ANALYSIS

The study is a double-blinded, randomised, controlled study, with patients randomised into either the standard blood pressure management group or the intensive blood pressure management group. The primary endpoint of the study will be the sequential analysis of modified Rankin Scale scores at 90 days after mechanical thrombectomy.

ETHICS AND DISSEMINATION

The study has been approved by the ethics committee of Shanghai Changhai Hospital with an approval number CHEC2023-015. The results of the study will be published in peer-reviewed international journals.

TRIAL REGISTRATION NUMBER

ChiCTR2300070764.

Consistency analysis of consciousness index and bispectral index in monitoring the depth of sevoflurane anesthesia in laparoscopic surgery

Background

The Index of Consciousness (IoC) is a new monitoring index of anesthesia depth reflecting the state of consciousness of the brain independently developed by China. The research on monitoring the depth of anesthesia mainly focuses on propofol, and bispectral index (BIS) is a sensitive and accurate objective index to evaluate the state of consciousness at home and abroad. This study mainly analyzed the effect of IoC on monitoring the depth of sevoflurane anesthesia and the consistency and accuracy with BIS when monitoring sevoflurane maintenance anesthesia.

Objective

To investigate the monitoring value of the Index of Consciousness (IoC) for the depth of sevoflurane anesthesia in laparoscopic surgery.

Methods

The study population consisted of 108 patients who experienced elective whole-body anesthesia procedures within the timeframe of April 2020 to June 2023 at our hospital. Throughout the anesthesia process, which encompassed induction and maintenance using inhaled sevoflurane, all patients were diligently monitored for both the Bispectral Index (BIS) and the Index of Consciousness (IoC). We conducted an analysis to assess the correlation between IoC and BIS throughout the anesthesia induction process and from the maintenance phase to the regaining of consciousness. To evaluate the predictive accuracy of IoC and BIS for the onset of unconsciousness during induction and the return of consciousness during emergence, we employed receiver operating characteristic (ROC) curve analysis.

Results

The mean difference between BIS and IoC, spanning from the pre-anesthesia induction phase to the completion of propofol induction, was 1.3 (95% Limits of Agreement [-53.4 to 56.0]). Similarly, during the interval from the initiation of sevoflurane inhalation to the point of consciousness restoration, the average difference between BIS and IoC was 0.3 (95% LOA [-10.8 to 11.4]). No statistically significant disparities were observed in the data acquired from the two measurement methodologies during both the anesthesia induction process and the journey from maintenance to the regaining of consciousness (P > 0.05). The outcomes of the ROC curve analysis disclosed that the areas under the curve (AUC) for prognosticating the occurrence of loss of consciousness were 0.967 (95% CI [0.935-0.999]) for BIS and 0.959 (95% CI [0.924-0.993]) for IoC, with optimal threshold values set at 81 (sensitivity: 88.10%, specificity: 92.16%) and 77 (sensitivity: 79.55%, specificity: 95.45%) correspondingly. For the prediction of recovery of consciousness, the AUCs were 0.995 (95% CI [0.987-1.000]) for BIS and 0.963 (95% CI [0.916-1.000]) for IoC, each associated with optimal cutoff values of 76 (sensitivity: 92.86%, specificity: 100.00%) and 72 (sensitivity: 86.36%, specificity: 100.00%) respectively.

Conclusion

The monitoring of sevoflurane anesthesia maintenance using IoC demonstrates a level of comparability to BIS, and its alignment with BIS during the maintenance phase of sevoflurane anesthesia is robust. IoC displays promising potential for effectively monitoring the depth of anesthesia.

Update of the European Society of Anaesthesiology and Intensive Care Medicine evidence-based and consensus-based guideline on postoperative delirium in adult patients

Postoperative delirium (POD) remains a common, dangerous and resource-consuming adverse event but is often preventable. The whole peri-operative team can play a key role in its management. This update to the 2017 ESAIC Guideline on the prevention of POD is evidence-based and consensus-based and considers the literature between 01 April 2015, and 28 February 2022. The search terms of the broad literature search were identical to those used in the first version of the guideline published in 2017. POD was defined in accordance with the DSM-5 criteria. POD had to be measured with a validated POD screening tool, at least once per day for at least 3 days starting in the recovery room or postanaesthesia care unit on the day of surgery or, at latest, on postoperative day 1. Recent literature confirmed the pathogenic role of surgery-induced inflammation, and this concept reinforces the positive role of multicomponent strategies aimed to reduce the surgical stress response. Although some putative precipitating risk factors are not modifiable (length of surgery, surgical site), others (such as depth of anaesthesia, appropriate analgesia and haemodynamic stability) are under the control of the anaesthesiologists. Multicomponent preoperative, intra-operative and postoperative preventive measures showed potential to reduce the incidence and duration of POD, confirming the pivotal role of a comprehensive and team-based approach to improve patients' clinical and functional status.

The Impact of Nociception Monitor-Guided Multimodal General Anesthesia on Postoperative Outcomes in Patients Undergoing Laparoscopic Bowel Surgery: A Randomized Controlled Trial

BACKGROUND

Excess surgical stress responses, caused by heightened nociception, can lead to elevated levels of postoperative inflammation, resulting in an increased incidence of complications after surgery. We hypothesized that utilizing nociception monitor-guided multimodal general anesthesia would exert effects on postoperative outcomes (e.g., serum concentrations of C-reactive protein (CRP) after surgery, postoperative complications).

METHODS

This single-center, double-blinded, randomized trial enrolled ASA class I/II adult patients with normal preoperative CRP levels, scheduled for laparoscopic bowel surgery. Patients were randomized to receive either standard care (control group) or nociception monitor-guided multimodal general anesthesia using the nociceptive response (NR) index (NR group), where NR index was kept below 0.85 as possible. The co-primary endpoint was serum concentrations of CRP after surgery or rates of 30-day postoperative complications (defined as Clavien-Dindo grades ≥ II).

MAIN RESULTS

One hundred and four patients (control group, n = 52; NR group, n = 52) were enrolled for analysis. The serum CRP level on postoperative day (POD) 1 was significantly lower in the NR group (2.70 mg·dL-1 [95% confidence interval (CI), 2.19-3.20]) than in the control group (3.66 mg·dL-1 [95% CI, 2.98-4.34], p = 0.024). The postoperative complication rate was also significantly lower in the NR group (11.5% [95% CI, 5.4-23.0]) than in the control group (38.5% [95% CI, 26.5-52.0], p = 0.002).

CONCLUSIONS

Nociception monitor-guided multimodal general anesthesia, which suppressed intraoperative nociception, mitigated serum concentrations of CRP level, and decreased postoperative complications after laparoscopic bowel surgery.

General Anesthesia as a Multimodal Individualized Clinical Concept

In the last decades, several new and modern techniques have been developed for the continuous monitoring of vitals for patients undergoing surgery under general anesthesia. These complex methods are meant to come as an adjunct to classical monitoring protocols used in general anesthesia to increase patient safety. The main objectives of multimodal monitoring are avoiding the over- or underdosing of anesthetic drugs, adapting the concentration for the substances in use, reducing post-anesthetic complications, and increasing patient comfort. Recent studies have shown a series of benefits with significant clinical impact such as a reduced incidence of nausea and vomiting, shorter reversal times, a reduction in opioid consumption, shorter hospital stays, and an increase in patient satisfaction.

Preoperative and Postoperative Cognitive Assessment in Geriatric Patients Following Acute Traumatic Injuries: Towards Improving Geriatric Trauma Outcomes

INTRODUCTION

A growing percentage of the US population is over the age of 65, and geriatrics account for a large portion of trauma admissions, expected to reach nearly 40% by 2050. Cognitive status is important for operative management, especially in elderly populations. This study aims to investigate preoperative and postoperative cognitive function assessment tools in geriatric patients following acute trauma and associated outcomes, including functional status, postdischarge disposition, mortality, and hospital length of stay (H-LOS).

METHODS

A literature search was conducted using Medline/PubMed, Google Scholar, Embase, JAMA Networks, and Cochrane databases for studies investigating the use of cognitive assessment tools for geriatric patients with acute trauma. The last literature search was conducted on November 13, 2021.

RESULTS

Ten studies were included in this review, of which five focused on preoperative cognitive assessment and five focused on postoperative. The evidence suggests patients with preoperative cognitive impairment had worse functional status, mortality, and postdischarge disposition along with increased LOS. Acute trauma patients with postoperative cognitive impairment also had worse functional status, mortality, and adverse postdischarge disposition.

CONCLUSIONS

Preoperative and postoperative cognitive impairment is common in geriatric patients with acute trauma and is associated with worse outcomes, including decreased functional status, increased LOS, and adverse discharge disposition. Cognitive assessment tools such as MMSE, MoCA, and CAM are fast and effective at detecting cognitive impairment in the acute trauma setting and allow clinicians to address preoperative or postoperative cognitive impairments to improve patient outcomes.

Management Based on Multimodal Brain Monitoring May Improve Functional Connectivity and Post-operative Neurocognition in Elderly Patients Undergoing Spinal Surgery

Perioperative neurocognitive disorder (PND) is a common condition in elderly patients undergoing surgery. Sedation, analgesia, regional cerebral oxygen saturation (rSO₂), and body temperature are known to be associated with PND, but few studies have examined the contribution of these factors combined in detail. This prospective, randomized, controlled, double-blinded study investigated whether anesthesia management based on multimodal brain monitoring—an anesthesia management algorithm designed by our group—could improve the post-operative cognitive function and brain functional connectivity (FC) in elderly patients undergoing elective spinal surgery with general anesthesia. The patients (aged ≥65 years) were randomized into two groups [control (Group C), n = 12 and intervention (Group I), n = 14]. Patients in Group I were managed with multimodal brain monitoring (patient state index, spectral edge frequency, analgesia nociception index, rSO₂, and temperature), and those in Group C were managed with routine anesthesia management. All patients were pre- and post-operatively evaluated (7 days after surgery) with the Montreal Cognitive Assessment (MoCA). Amplitude of low-frequency fluctuation (ALFF) and FC were analyzed after resting-state functional MRI. Serum C-reactive protein (CRP) and lipopolysaccharide levels were measured, and the correlation between FC and changes in inflammatory marker levels was analyzed. Mean post-operative MoCA score was higher in Group I (24.80 ± 2.09) than in Group C (22.56 ± 2.24) (p = 0.04), with no difference in PND incidence between groups (28.57 vs. 16.67%; p = 0.47). Group I also showed significantly increased ALFF values in several brain regions after surgery (p < 0.05), and FC between the left hippocampus and left orbital inferior frontal gyrus (FG), left middle FG, left superior temporal gyrus, and left precentral gyrus was enhanced (p < 0.05), which was negatively correlated with the change in serum CRP (pre vs. post-intervention) (R = −0.58, p = 0.01). These results suggest that management of elderly patients undergoing surgery by multimodal brain monitoring may improve post-operative neurocognition and FC by reducing systemic inflammation.

Clinical Trial Registration:http://www.chictr.org.cn/index.aspx, identifier: ChiCTR1900028024.