ObjectiveTo investigate the risk factors and prevention strategies of postoperative delirium in Stanford B aortic dissection. MethodsClinical data of the patients diagnosed with Stanford B aortic dissection and undergoing endovascular aortic repair from January 2020 to August 2021 in our department were retrospectively collected. Patients were divided into a non-delirium group and a delirium group according to the presence of postoperative delirium. The risk factors for postoperative delirium after Stanford type B aortic dissection and the protective effect of dexmedetomidine on delirium were analyzed. ResultsA total of 659 patients with Stanford type B aortic dissection were enrolled, including 540 males and 119 females with a median age of 58.00 (41.00, 75.00) years. There were 450 patients in the non-delirium group, and 209 patients in the delirium group. There was no statistical difference in gender, body mass index, hypertension, hyperlipidemia, smoking and drinking history, cholesterol triglyceride level, or creatinine glomerular filtration rate (P＞0.05). Age was an independent risk factor for postoperative delirium in Stanford type B aortic dissection (OR=1.392, 95%CI 1.008-1.923, P=0.044). Moreover, whether dexmedetomidine was used or not had no effect on the duration of postoperative delirium (χ2=4.662, P=0.588). Conclusion Age is an independent risk factor for postoperative delirium in patients with Stanford type B aortic dissection. The incidence of postoperative delirium in young patients is lower than that in the patients with middle and elderly age, and it may be of reference value to prevent postoperative delirium. Dexmedetomidine has no significant effect on controlling the duration of postoperative delirium.
Postoperative delirium (POD) is a serious postoperative complication, which is significantly correlated with poor prognosis such as prolonged hospital stay and increased rate of readmission. POD is the result of multiple factors, and intervention targeting at its risk factors can significantly reduce the incidence of POD. At present, POD prevention tends to be multidisciplinary and cluster-oriented, aiming at forming a process-oriented, whole-perioperative assessment and intervention path. However, at present, there are few studies on POD peri-anesthetic period intervention, and there are many controversies. All guidelines and expert consensus are also blank in this part, and further studies are needed to fill the gaps. This paper discusses the current prevention strategies for POD during peri-anesthetic period, guiding future studies and further improving the intervention strategies for POD during peri- anesthetic period, so as to reduce the occurrence of POD.
Objective To investigate the evaluation, risk factors and intervening measures of postoperative delirium in patients after liver transplantation, and to provide reference for clinical practice. Methods The relevant literatures on delirium after liver transplantation at home and abroad in recent years were consulted. Based on the definition of postoperative delirium, the research status, evaluation tools and evaluation frequency at home and abroad were reviewed. From the aspects of donor and recipient, the influencing factors by connecting preoperative, intraoperative and postoperative stages and angles were explored. Results The incidence of postoperative delirium in patients with liver transplantation was high, and the risk factors were numerous, which ran through before and after liver transplantation. In terms of research type, most domestic and foreign studies were retrospective, single center, small sample surveys, with different assessment tools and assessment frequency. There were few high-quality intervention studies on delirium after liver transplantation. Conclusions Delirium after liver transplantation is predictable, evaluable and treatable. Effective risk assessment and screening are very important. Intervention for patients undergoing liver transplantation who develop postoperative delirium requires a combination of pharmacologic and non-pharmacologic interventions.
ObjectiveTo determine whether there was a clinical relevant association between anesthetic regimen (propofol or inhalational anesthetics) and the occurrence of postoperative delirium (POD) in patients undergoing cardiac surgery.MethodsThis retrospective study was conducted on patients with elective cardiac surgery under cardiopulmonary bypass (CPB) at West China Hospital of Sichuan University between October 2018 and March 2019. The patients were divided into a propofol group or an inhalational anesthetics group according to anesthetic regimen (including CPB). The primary outcome was the occurrence of POD during first 3 days after surgery. Logistic regression analysis was used to determine the relationship between anesthetic regimen and the occurrence of POD.ResultsA total of 197 patients who met the inclusion criteria were included, with an average age of 53 years, and 51.8% (102/197) were females. POD occurred in 21.3% (42/197) patients. The incidence of POD was 21.4% in the propofol group and 21.2% in the inhalational anesthetics group; there was no significant difference between the two groups (RR=1.01, 95%CI 0.51-2.00, P=0.970). Logistic regression analysis did not find that anesthetic regimen was a risk factor for delirium after cardiac surgery after adjusting risk factors (OR=1.05, 95%CI 0.48-2.32, P=0.900).ConclusionAnesthetic regimen (propofol or inhalational anesthetics) is not associated with an increased risk for POD in adult patients undergoing elective cardiac surgery under CPB.
Delirium is a common complication in elderly inpatients which could result in cognitive impairment, and increase the risk of disability, fall and mortality. Moreover, it could cause heavy social burden. Even with multiple bedside screening scales to detect delirium, the rate of missed diagnosis is still high. Maybe it is associated with the acute fluctuation and nocturnal onset of delirium. With the development of the intelligence and automation of the electronic medical record (EMR), previous studies have explored the use of EMR to identify delirium patients, and this method provides help for delirium diagnosis and prevention. In this paper, we reviewed and summarized the current situation of research on delirium recognition by EMR, and put forward the development prospect in this method in order to provide basis and lay a foundation for intelligent diagnosis of delirium.
ObjectiveTo explore the relevant risk factors for postoperative delirium (POD) in elderly patients undergoing radical colon cancer surgery, and provide a basis for formulating postoperative prevention and treatment measures for POD. MethodsA total of 128 elderly patients diagnosed with colon cancer and underwent radical colon cancer surgery at Xindu District People’s Hospital in Chengdu from January 2018 to December 2021 were included as the study subjects. Patients were divided into two groups according to the score of Delirium Assessment Scale (4AT Scale). The basic data, main perioperative clinical data and laboratory indicators of the two groups were collected, and univariate and logistic regression analysis were carried out to determine the potential risk factors of POD in elderly patients with colon cancer after radical operation. ResultsAccording to the results of the 4AT scale score, a total score of ≥4 points was used as the threshold for determining patient POD. Among 128 patients, there were 29 patients (22.66%) with POD and 99 patients (77.34%) without POD. ① General data comparison: There was no significant difference between the two groups in gender, body mass index, years of education, hypertension, diabetes, smoking history and drinking history (P>0.05), but there was significant difference in age, preoperative mini-mental state examination (MMSE) score and American Society of Anesthesiologists (ASA) grade (P<0.05). ② Comparison of main clinical data during the perioperative period: There was no statistically significant difference between the two groups of patients in ICU treatment, nonsteroidal anti-inflammatory drug treatment, visual analogue scale, and intraoperative hypotension (P>0.05), but there was a statistically significant difference in operative time, anesthesia time, intraoperative blood loss, and dexmedetomidine treatment (P<0.05). ③ Comparison of preoperative laboratory indicators: There was no statistically significant difference between the two groups of patients in terms of hemoglobin, serum albumin, white blood cell count, prognostic nutritional index, neutrophil/lymphocyte ratio, D-dimer, and albumin to fibrinogen ratio (P>0.05). ④ The results of logistic regression analysis showed that low preoperative MMSE score [OR=0.397, 95%CI (0.234, 0.673)], long surgical time [OR=1.159, 95%CI (1.059, 1.267) ], and long anesthesia time [OR=1.138, 95%CI (1.057, 1.226) ] were independent risk factors for the occurrence of POD in elderly colon cancer patients undergoing radical surgery. ConclusionPreoperative MMSE score, operative time, and anesthesia time are closely related to the occurrence of POD in elderly colon cancer radical surgery, worth implementing key perioperative management in clinical practice to prevent and manage POD.
ObjectiveTo analyze the predictive value of ensemble classification algorithm of random forest for delirium risk in ICU patients with cardiothoracic surgery. MethodsA total of 360 patients hospitalized in cardiothoracic ICU of our hospital from June 2019 to December 2020 were retrospectively analyzed. There were 193 males and 167 females, aged 18-80 (56.45±9.33) years. The patients were divided into a delirium group and a control group according to whether delirium occurred during hospitalization or not. The clinical data of the two groups were compared, and the related factors affecting the occurrence of delirium in cardiothoracic ICU patients were predicted by the multivariate logistic regression analysis and the ensemble classification algorithm of random forest respectively, and the difference of the prediction efficiency between the two groups was compared.ResultsOf the included patients, 19 patients fell out, 165 patients developed ICU delirium and were enrolled into the delirium group, with an incidence of 48.39% in ICU, and the remaining 176 patients without ICU delirium were enrolled into the control group. There was no statistical significance in gender, educational level, or other general data between the two groups (P>0.05). But compared with the control group, the patients of the delirium group were older, length of hospital stay was longer, and acute physiology and chronic health evaluationⅡ(APACHEⅡ) score, proportion of mechanical assisted ventilation, physical constraints, sedative drug use in the delirium group were higher (P<0.05). Multivariate logistic regression analysis showed that age (OR=1.162), length of hospital stay (OR=1.238), APACHEⅡ score (OR=1.057), mechanical ventilation (OR=1.329), physical constraints (OR=1.345) and sedative drug use (OR=1.630) were independent risk factors for delirium of cardiothoracic ICU patients. The variables in the random forest model for sorting, on top of important predictor variable were: age, length of hospital stay, APACHEⅡ score, mechanical ventilation, physical constraints and sedative drug use. The diagnostic efficiency of ensemble classification algorithm of random forest was obviously higher than that of multivariate logistic regression analysis. The area under receiver operating characteristic curve of ensemble classification algorithm of random forest was 0.87, and the one of multivariate logistic regression analysis model was 0.79.ConclusionThe ensemble classification algorithm of random forest is more effective in predicting the occurrence of delirium in cardiothoracic ICU patients, which can be popularized and applied in clinical practice and contribute to early identification and strengthening nursing of high-risk patients.
Postoperative delirium (POD) is a common postoperative complication. Dysregulation of gut flora is involved in POD through mechanisms such as neuroinflammation, oxidative stress, deposition of β-amyloid, and aberrant production of metabolites of gut flora. Therefore, interventions to regulate gut flora, such as probiotics, prebiotics, and faecal microbiota transplantation, can alleviate cognitive dysfunction. This article reviews the mechanisms of gut flora in POD and its prevention and treatment strategies, with the aim of providing new ideas for the clinical prevention and treatment of POD.
Objective To analyze the influencing factors of delirium after endovascular aortic repair, and to provide a basis for clinical nursing and prevention of this condition. Methods Patients who underwent endovascular aortic repair at Fuwai Hospital, Chinese Academy of Medical Sciences from 2018 to 2019 were selected. The Chinese version of the Nursing Delirium Screening Scale (Nu-DESC) was used to assess whether postoperative delirium occurred. Patients with a Nu-DESC score≥ 3 were assigned to the delirium group. Non-delirium patients who had the same surgeon and adjacent surgical order were selected at a 1 : 4 ratio to form the non-delirium group. Univariate analysis was performed on the clinical data of the two groups. Factors with P<0.1 in the univariate analysis and those considered clinically significant were included in a multivariate logistic regression analysis to identify the influencing factors of postoperative delirium. Stratified analysis was conducted based on thoracic endovascular aortic repair (TEVAR) and endovascular abdominal aortic repair (EVAR). Results A total of 213 patients were included, comprising 46 in the delirium group and 167 in the non-delirium group. The overall mean age was (60.3±12.0) years, and 183 (85.9%) were male. Univariate analysis showed that emergency admission, preoperative neutrophil percentage, aortic dissection, surgical duration, intubation time, and ICU stay may be associated with postoperative delirium. Multivariate analysis revealed that longer operative and intubation times were associated with a higher likelihood of delirium. In the stratified analysis, the results for the TEVAR group were consistent with the overall findings, whereas no significant differences were observed in the EVAR group. Conclusion Longer surgical and intubation times are associated with an increased risk of delirium in patients undergoing TEVAR. No significant factors influencing delirium are identified in patients undergoing EVAR.
Postoperative delirium is one of the most common postoperative complications in elderly patients, affecting the outcome of approximately half of surgical patients. The pathogenesis of postoperative delirium is still unclear, but multivariate models of the etiology of postoperative delirium are well-validated and widely accepted, and 40% of postoperative delirium can be effectively prevented by targeting predisposing factors. Benzodiazepines have long been considered as predisposing factors for postoperative delirium. Although benzodiazepines are widely used in clinical practice, most relevant guidelines recommend avoiding the use of benzodiazepines in the perioperative period to reduce the incidence of postoperative delirium. Controversy exists regarding the association of benzodiazepine use with postoperative delirium. This article discusses the results of studies on perioperative benzodiazepines and postoperative delirium.