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.
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.
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.
ObjectiveTo investigate the risk factors of delirium in mechanical ventilation patients with chronic obstructive pulmonary disease (COPD).MethodsA total of 97 mechanically ventilated non-hypertensive patients with COPD who were admitted to this department from January 2018 to October 2018 were selected as subjects. The patients were divided into 49 cases with delirium and 48 cases non-delirium according to the Consciousness Assessment Method for the Intensive Care Uint. The examined data were collected in the patients such as pH, arterial partial pressure of oxygen (PaO2), arterial partial pressure of carbon dioxide (PaCO2), neuron-specific enolase (NSE), and Acute Physiology and Chronic Health EvaluationⅡ (APACHEⅡ) scores were calculated in the pre-mechanical (d0) and mechanically ventilated 3rd (d3), 5th (d5) days. The mechanical ventilation days were recorded in the two groups. Logistic regression analysis was used to screen the risk factors influencing delirium of patients.ResultsThe PaCO2, NSE, APACHEⅡ scores and mechanical ventilation days were higher in the delirium group than in the non-delirium group ［(88.1±7.5) vs. (85.3±6.2) mm Hg; (28.4±5.8) vs. (26.1±3.3) μg/L; (23.7±3.9) vs. (21.7±2.6); (7.5±1.3) d vs. (6.6±1.2) d］ and PaO2 were lower than non-delirium group ［(54.9±5.5) vs. (57.2±3.1) mm Hg］, the differences were statistically significant (P<0.05). Multivariate logistic regression analysis showed that PaO2, NSE, APACHEⅡ scores and mechanical ventilation days were risk factors for delirium in mechanically ventilated patients with COPD (regression coefficients were –0.177, 0.163, 0.203, 0.597 respectively, P<0.05). The PaO2 and APACHEⅡ scores of mechanical ventilation on the 3rd and 5th day of the two groups ［d3 (88.3±5.3) vs. (89.1±6.9) mm Hg; d5 (90.3±9.0) vs. (91.3±6.4) mm Hg; d3 (21.7±3.0) vs. (21.4±2.2); d5 (20.9±2.8) vs. (20.7±2.1)］ were not statistically significant (P>0.05).The NSE changes on the 3rd and 5th day of mechanical ventilation ［d3 (30.0±5.3) vs. (26.8±3.6) μg/L; d5 (27.3±4.3) vs. (25.7±2.6) μg/L］ were statistically significant (P<0.05).ConclusionPaO2, NSE, APACHEⅡ score and mechanical ventilation days are risk factors for delirium in COPD patients with mechanical ventilation and NSE is one of the more important risk factors.
Methods To explore the level of delirium knowledge of geriatric nurses in Sichuan province and analyze the factors, so as to provide the basis for systematic and targeted knowledge training on delirium and clinical management. Methods Using the self-designed “the Questionnaire of Elderly Delirium Knowledge”, geriatric nurses from 22 hospitals in Sichuan province were investigated through a convenient sampling method from September 2018 to February 2019. Results A total of 475 geriatric nurses were investigated. The average delirium knowledge score of the 475 geriatric nurses was 69.51±12.42. Multiple linear regression analysis showed that the main factors affecting the score of delirium-related knowledge were the education of nurses (P=0.037), technical title (P<0.001), years of working in the geriatric department (P=0.001), and the level of working hospital (P=0.001). Conclusions The level of delirium knowledge of geriatric nurses is low and can not meet the needs of clinical work. Nursing managers should carry out delirium knowledge training according to the different characteristics of nurses.
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 (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.
ObjectiveTo systematically evaluate the risk factors for postoperative delirium after surgery for Stanford type A aortic dissection. MethodsWe searched the CNKI, SinoMed, Wanfang data, VIP, PubMed, Web of Science, EMbase, The Cochrane Library database from inception to September 2022. Case-control studies, and cohort studies on risk factors for postoperative delirium after surgery for Stanford type A aortic dissection were collected to identify studies about the risk factors for postoperative delirium after surgery for Stanford type A aortic dissection. Quality of the included studies was evaluated by the Newcastle-Ottawa scale (NOS). The meta-analysis was performed by RevMan 5.3 software and Stata 15.0 software. ResultsA total of 21 studies were included involving 3385 patients. The NOS score was 7-8 points. The results of meta-analysis showed that age (MD=2.58, 95%CI 1.44 to 3.72, P＜0.000 01), male (OR=1.33, 95%CI 1.12 to 1.59, P=0.001), drinking history (OR=1.45, 95%CI 1.04 to 2.04, P=0.03), diabetes history (OR=1.44, 95%CI 1.12 to 1.85, P=0.005), preoperative leukocytes (MD=1.17, 95%CI 0.57 to 1.77), P=0.000 1), operation time (MD=21.82, 95%CI 5.84 to 37.80, P=0.007), deep hypothermic circulatory arrest (DHCA) time (MD=3.02, 95%CI 1.04 to 5.01, P=0.003), aortic occlusion time (MD=8.94, 95%CI 2.91 to 14.97, P=0.004), cardiopulmonary bypass time (MD=13.92, 95%CI 5.92 to 21.91, P=0.0006), ICU stay (MD=2.77, 95%CI 1.55 to 3.99, P＜0.000 01), hospital stay (MD=3.46, 95%CI 2.03 to 4.89, P＜0.0001), APACHEⅡ score (MD=2.76, 95%CI 1.59 to 3.93, P＜0.000 01), ventilation support time (MD=6.10, 95%CI 3.48 to 8.72, P＜0.000 01), hypoxemia (OR=2.32, 95%CI 1.40 to 3.82, P=0.001), the minimum postoperative oxygenation index (MD=−79.52, 95%CI −125.80 to −33.24, P=0.000 8), blood oxygen saturation (MD=−3.50, 95%CI −4.49 to −2.51, P＜0.000 01), postoperative hemoglobin (MD=−6.35, 95%CI −9.21 to −3.50, P＜0.000 1), postoperative blood lactate (MD=0.45, 95%CI 0.15 to 0.75, P=0.004), postoperative electrolyte abnormalities (OR=5.94, 95%CI 3.50 to 10.09, P＜0.000 01), acute kidney injury (OR=1.92, 95%CI 1.34 to 2.75, P=0.000 4) and postoperative body temperature (MD=0.79, 95%CI 0.69 to 0.88, P＜0.000 01) were associated with postoperative delirium after surgery for Stanford type A aortic dissection. ConclusionThe current evidence shows that age, male, drinking history, diabetes history, operation time, DHCA time, aortic occlusion time, cardiopulmonary bypass time, ICU stay, hospital stay, APACHEⅡ score, ventilation support time, hypoxemia and postoperative body temperature are risk factors for the postoperative delirium after surgery for Stanford type A aortic dissection. Oxygenation index, oxygen saturation, and hemoglobin number are protective factors for delirium after Stanford type A aortic dissection.
ObjectivesTo systematically review the delirium risk prediction models in intensive care unit (ICU) patients.MethodsThe Cochrane Library, PubMed, Web of Science, Ovid, VIP, WanFang Date and CNKI databases were electronically searched to collect studies on delirium risk prediction models in intensive care unit patients from inception to December, 2018. Two reviewers independently screened literature, extracted data, evaluated the included studies according to the CHARMS checklist, and then systematic review was performed to evaluate the risk prediction models.ResultsA total of 9 studies were included, of which 7 were prospective studies. Six models were internally validated. All studies reported the area under receiver operating characteristic curve (AUROC) over 0.7 (0.739-0.926). The reduction of cognitive reserve and increased blood urea nitrogen were the most commonly reported predisposing and precipitating factors of delirium among all prediction models. Methodologically, the absence or unreported of the blind method, to a certain extent, partially increase the risk of bias.ConclusionsNine prediction models all have great power in early identifying and screening patients who are at high risk of developing ICU delirium. On the basis of judiciously selecting a practical prediction model for clinical practice or carrying out a large sample-size prospective cohort study to construct the localized prediction model, stratified prevention strategies should be formulated and implemented according to the risk stratification results to reduce the incidence of ICU delirium and accelerate the rational allocation of medical resources for delirium prevention.