Development and validation of a postoperative delirium prediction model for patients admitted to an intensive care unit in China: a prospective study

Knowledge, attitudes and practices of ICU nurses regarding subsyndromal delirium among 20 hospitals in China: a descriptive cross-sectional survey

OBJECTIVES

This study sought to investigate nurses' knowledge, attitudes and practices, and analyse the influencing factors for subsyndromal delirium (SSD).

DESIGN

A descriptive cross-sectional survey.

SETTING

E-questionnaires were distributed to intensive care unit (ICU) nurses from 20 tertiary-grade, A-class hospitals in Henan Province, China.

PARTICIPANTS

A total of 740 ICU nurses participated in the questionnaire survey.

MAIN OUTCOME MEASURES

Each dimension score is converted to a percentage scale. A score of ≤60% on each dimension of the questionnaire was considered a negative score, <80% was considered a intermediate score and ≥80% was considered an excellent score.

RESULTS

A total of 733 questionnaires were included in the study. More than half of the nurses were at the intermediate level, and a few nurses were at the excellent level. Nurses self-assessed their level of knowledge was intermediate. In the attitudes dimension, nurses' attitudes were negative. The results of the practical dimension showed that most nurses could carry out the clinical practice. Multiple linear regression analysis showed that educational level and received SSD training were influencing factors.

CONCLUSIONS

ICU nursing staff overestimated their knowledge of SSD and showed a negative attitude towards it. Various forms of education and training are necessary.

Comparison and Clinical Value of Ciprofol and Propofol in Intraoperative Adverse Reactions, Operation, Resuscitation, and Satisfaction of Patients under Painless Gastroenteroscopy Anesthesia

Objective

To investigate the comparison and clinical value of ciprofol and propofol for painless gastroenteroscopy anesthesia in terms of intraoperative adverse reactions, operation, resuscitation, and satisfaction of patients.

Methods

A total of 96 patients who underwent painless gastroenteroscopy anesthesia in our hospital from June 2021 to January 2022 were enrolled. The cases were randomly assigned into research group and control group. The control group received propofol anesthesia (n = 49), and the research group received ciprofol anesthesia (n = 47). The patients, physician satisfaction, vital signs, incidence of adverse reactions, anesthetic first dose, additional time, additional dose, total dose, induction time, insertion time, operation time, awake time, orientation recovery time, leaving room time, and injection pain score were compared.

Results

The overall satisfaction of the study group was higher than that of the control group (p < 0.05). After taking medicine, the score of 1 min and MAP in the study group were higher than those in the control group. The incidence of adverse reactions in the study group was lower than that in the control group (p < 0.05). The satisfaction of doctors in the study group was higher than that in the control group (p < 0.05). The anesthesia induction time, intubation time, operation time, awake time, orientation recovery time, and leaving room time in the study group were significantly longer than those in the control group (p < 0.05). The incidence and degree of injection pain in the propofol group were significantly lower than those in the propofol group (p < 0.05).

Conclusion

In painless gastroenteroscopy, compared with propofol, ciprofol is equally safe and effective for patients and will not cause early cognitive dysfunction after operation, which is a good choice in painless gastroenteroscopy anesthesia. In addition, ciprofol has significant advantages in patient and physician satisfaction, especially in injection pain. This trial is registered with ChiCTR2100045400.

Perioperative neurocognitive disorders: A narrative review focusing on diagnosis, prevention, and treatment

Perioperative neurocognitive disorders (NCDs) refer to neurocognitive abnormalities detected during the perioperative periods, including preexisting cognitive impairment, preoperative delirium, delirium occurring up to 7 days after surgery, delayed neurocognitive recovery, and postoperative NCD. The Diagnostic and Statistical Manual of Mental Disorders‐5th edition (DSM‐5) is the golden standard for diagnosing perioperative NCDs. Given the impracticality of using the DSM‐5 by non‐psychiatric practitioners, many diagnostic tools have been developed and validated for different clinical scenarios. The etiology of perioperative NCDs is multifactorial and includes predisposing and precipitating factors. Identifying these risk factors is conducive to preoperative risk stratification and perioperative risk reduction. Prevention for perioperative NCDs should include avoiding possible contributors and implementing nonpharmacologic and pharmacological interventions. The former generally includes avoiding benzodiazepines, anticholinergics, prolonged liquid fasting, deep anesthesia, cerebral oxygen desaturation, and intraoperative hypothermia. Nonpharmacologic measures include preoperative cognitive prehabilitation, comprehensive geriatric assessment, implementing fast‐track surgery, combined use of regional block, and sleep promotion. Pharmacological measures including dexmedetomidine, nonsteroidal anti‐inflammatory drugs, and acetaminophen are found to have beneficial effects. Nonpharmacological treatments are the first‐line measures for established perioperative NCDs. Pharmacological treatments are still limited to severely agitated or distressed patients.

Risk assessment of perioperative neurocognitive disorders, where are we now?

PURPOSE OF REVIEW

Perioperative neurocognitive disorders (PNDs) are among the most frequent complications after surgery and are associated with considerable morbidity and mortality. We analysed the recent literature regarding risk assessment of PND.

RECENT FINDINGS

Certain genetic variants of the cholinergic receptor muscarinic 2 and 4, as well as a marked degree of frailty but not the kind of anaesthesia (general or spinal) are associated with the risk to develop postoperative delirium (POD). Models predict POD with a discriminative power, for example, area under the receiver operating characteristics curve between 0.52 and 0.94.

SUMMARY

Advanced age as well as preexisting cognitive, functional and sensory deficits remain to be the main risk factors for the development of PND. Therefore, aged patients should be routinely examined for both preexisting and new developing deficits, as recommended in international guidelines. Appropriate tests should have a high discrimination rate, be feasible to be administered by staff that do not require excessive training, and only take a short time to be practical for a busy outpatient clinic. Models to predict PND, should be validated appropriately (and externally if possible) and should not contain a too large number of predictors to prevent overfitting of models.

Automated machine learning-based model predicts postoperative delirium using readily extractable perioperative collected electronic data

Objective

Postoperative delirium (POD) is a common postoperative complication that is relevant to poor outcomes. Therefore, it is critical to find effective methods to identify patients with high risk of POD rapidly. Creating a fully automated score based on an automated machine‐learning algorithm may be a method to predict the incidence of POD quickly.

Materials and methods

This is the secondary analysis of an observational study, including 531 surgical patients who underwent general anesthesia. The least absolute shrinkage and selection operator (LASSO) was used to screen essential features associated with POD. Finally, eight features (age, intraoperative blood loss, anesthesia duration, extubation time, intensive care unit [ICU] admission, mini‐mental state examination score [MMSE], Charlson comorbidity index [CCI], postoperative neutrophil‐to‐lymphocyte ratio [NLR]) were used to established models. Four models, logistic regression, random forest, extreme gradient boosted trees, and support vector machines, were built in a training set (70% of participants) and evaluated in the remaining testing sample (30% of participants). Multivariate logistic regression analysis was used to explore independent risk factors for POD further.

Results

Model 1 (logistic regression model) was found to outperform other classifier models in testing data (area under the curve [AUC] of 80.44%, 95% confidence interval [CI] 72.24%–88.64%) and achieve the lowest Brier Score as well. These variables including age (OR = 1.054, 95%CI: 1.017~1.093), extubation time (OR = 1.027, 95%CI: 1.012~1.044), ICU admission (OR = 2.238, 95%CI: 1.313~3.793), MMSE (OR = 0.929, 95%CI: 0.876~0.984), CCI (OR = 1.197, 95%CI: 1.038~1.384), and postoperative NLR (OR = 1.029, 95%CI: 1.002~1.057) were independent risk factors for POD in this study.

Conclusions

We have built and validated a high‐performing algorithm to demonstrate the extent to which patient risk changes of POD during the perioperative period, thus leading to a rational therapeutic choice.

Efficacy and Safety of Ciprofol Sedation in ICU Patients with Mechanical Ventilation: A Clinical Trial Study Protocol

INTRODUCTION

From previous studies of pharmacodynamic data in mice, rats, beagle dogs and mini pigs, frequently in direct comparison to induction doses of propofol, ciprofol produced a rapid onset of anesthesia/sedation.

METHODS

A phase 1 study suggested potential clinical advantages of ciprofol as a sedation/anesthetic agent, with no evidence of drug-related toxicity. However, the sedation effects and safety of ciprofol in intensive care unit (ICU) patients with mechanical ventilation should be further confirmed in a phase 3 study with a larger cohort of patients. During a phase 3, non-inferiority, multicenter, single-blind, randomized, propofol controlled trial, Chinese ICU patients undergoing mechanical ventilation and requiring endotracheal intubation will be sedated for 6-24 h after randomization. Considering a success rate for ICU sedation of 99% for ciprofol and the positive control drug propofol, a total sample size of 120 subjects with mechanical ventilation will be required to achieve 80% power to determine non-inferiority with a margin of 8%. Finally, taking into account 10% losses, 135 patients will be enrolled and randomly assigned to ciprofol (90 cases) and propofol (45 cases) groups in a 2:1 ratio. The primary outcome will be the success rate of sedation satisfied by the following conditions: the time within the range of Richmond Agitation and Sedation Score (+ 1 ~ - 2) must account for ≥ 70% of the study drug administration time and without other rescue treatments. Secondary outcomes will include the average time to reach the sedation goal, study drug usage, rescue medication given per unit weight, extubation time, recovery time to full consciousness and nursing scores. Safety endpoints will include adverse events (AEs), drug related AEs and serious AEs.

PLANNED OUTCOMES

The results of this study will provide crucial information on the use of ciprofol for sedation of patients in ICUs.

TRIAL REGISTRATION

ClinicalTrials.gov identifier, NCT04620031.

Implementation of ABCDEF care bundle in intensive care units: A cross-sectional survey

BACKGROUND

Delirium affects up to 80% of patients in intensive care units (ICUs) and is associated with higher mortality, physical dependence, and health care costs. The 2018 pain, agitation, delirium, immobility, and sleep guideline recommended ABCDEF care bundle for delirium prevention and management. However, limited information is available regarding the adoption of the care bundle in ICUs in Mainland China.

AIMS AND OBJECTIVES

To assess the current implementation of the ABCDEF care bundle for delirium prevention as reported by ICU nurses in Mainland China.

DESIGN

A cross-sectional study was conducted.

METHODS

A cross-sectional online survey using a validated questionnaire about the practices of the ABCDEF care bundle was conducted among 334 registered nurses in 167 ICUs of 65 cities in Mainland China.

RESULTS

Almost 50% of the sampled ICU nurses were unaware of the ABCDEF care bundle, though 86.83% of the surveyed ICUs implemented pain assessments and 95.51% implemented sedation assessments. Nearly half (46.41%) of the surveyed ICUs performed routine spontaneous awaking trials, with 21.26% performing them daily. Spontaneous breathing trials were performed in 38.32% of the surveyed ICUs. Only 47% of the surveyed ICUs routinely monitored patients for delirium. About one-third (38.35%) of the surveyed ICUs were supported by specialist teams that implemented the mobilization programmes. Most ICUs restricted the duration of family visits per day (<0.5 hour: 61.67%; 0.5-2 hours: 23.65%; >2 hours: 3.29%) and only 28.14% of the surveyed ICUs employed dedicated staff to support the families.

CONCLUSIONS

Although most of the surveyed ICUs implemented pain and sedation assessments, many of them did not implement structured delirium assessments. Early mobilization programmes and family participation should be encouraged.

RELEVANCE TO CLINICAL PRACTICE

Promoting the uses of a reliable delirium assessment tool such as Confusion Assessment Method for Intensive Care Unit patients, building an early mobilization team, and engaging family caregivers in the care plan may contribute to improved patients' clinical outcomes.

Risk Factors for Delirium and Cognitive Decline Following Coronary Artery Bypass Grafting Surgery: A Systematic Review and Meta-Analysis

Background

Coronary artery bypass grafting (CABG) is known to improve heart function and quality of life, while rates of surgery‐related mortality are low. However, delirium and cognitive decline are common complications. We sought to identify preoperative, intraoperative, and postoperative risk or protective factors associated with delirium and cognitive decline (across time) in patients undergoing CABG.

Methods and Results

We conducted a systematic search of Medline, PsycINFO, EMBASE, and Cochrane (March 26, 2019) for peer‐reviewed, English publications reporting post‐CABG delirium or cognitive decline data, for at least one risk factor. Random‐effects meta‐analyses estimated pooled odds ratio for categorical data and mean difference or standardized mean difference for continuous data. Ninety‐seven studies, comprising data from 60 479 patients who underwent CABG, were included. Moderate to large and statistically significant risk factors for delirium were as follows: (1) preoperative cognitive impairment, depression, stroke history, and higher European System for Cardiac Operative Risk Evaluation (EuroSCORE) score, (2) intraoperative increase in intubation time, and (3) postoperative presence of arrythmia and increased days in the intensive care unit; higher preoperative cognitive performance was protective for delirium. Moderate to large and statistically significant risk factors for acute cognitive decline were as follows: (1) preoperative depression and older age, (2) intraoperative increase in intubation time, and (3) postoperative presence of delirium and increased days in the intensive care unit. Presence of depression preoperatively was a moderate risk factor for midterm (1–6 months) post‐CABG cognitive decline.

Conclusions

This meta‐analysis identified several key risk factors for delirium and cognitive decline following CABG, most of which are nonmodifiable. Future research should target preoperative risk factors, such as depression or cognitive impairment, which are potentially modifiable.

Registration

URL: https://www.crd.york.ac.uk/prosp​ero/; Unique identifier: CRD42020149276.