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, lymphocyte percentage, operative duration, intubation time, and ICU stay might 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 operative and intubation times are associated with a higher risk of delirium in patients undergoing TEVAR, while no significant association was found 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 analyze whether hypernatremia within 48 hours after cardiac surgery will increase the incidence of delirium which developed 48 hours later after surgery (late-onset delirium).MethodsWe conducted a retrospective analysis of 3 365 patients, including 1 918 males and 1 447 females, aged 18-94 ( 60.53±11.50) years, who were admitted to the Department of Cardiothoracic and Vascular Surgery of Nanjing First Hospital and underwent cardiac surgery from May 2016 to May 2019.ResultsA total of 155 patients developed late-onset delirium, accounting for 4.61%. The incidence of late-onset delirium in patients with hypernatremia was 9.77%, the incidence of late onset delirium in patients without hypernatremia was 3.45%, and the difference was statistically different (P<0.001). The odds ratio (OR) of hypernatremia was 3.028 (95% confidence interval: 2.155-4.224, P<0.001). The OR adjusted for other risk factors including elderly patients, previous history of cerebrovascular disease, operation time, cardiopulmonary bypass time, lactate, hemoglobin≥100 g/L, prolonged mechanical ventilation, left ventricular systolic function, use of epinephrine, use of norepinephrine was 1.524 (95% confidence interval: 1.031-2.231, P=0.032).ConclusionHypernatremia within 48 hours after cardiac surgery may increase the risk of delirium in later stages.
Objective To analyze the risk factors for delirium of the Stanford A aortic dissection patients after surgery. Method We retrospectively analyzed the clinical data of 335 patients with type A aortic dissection in Guangdong Cardiac Institution from January 2012 through December 2014. There were 280 males and 55 females. The average of age was 48.5±10.3 years. Delirium status of the patients were evaluated based on confusion assessment method for intensive care unit (CAM-ICU). The patients were divided into two groups including a delirium group and a control group. We tried to find the risk factors for postoperative delirium. Results There were 169 patients of delirium with a incident rate of 50.4%. One-way analysis of variance and multivariate analysis indicated that pre-operative D-dimer level (OR=2.480, 95% CI 1.347-4.564, P<0.01), the minimum mean arterial pressure during operation (OR=0.667, 95% CI 0.612-0.727, P<0.01), the postoperative ventilation time (OR=2.771, 95% CI 1.506-5.101, P<0.01) and the postoperative acute kidney failure (OR=1.911, 95% CI 1.065-3.430, P<0.05) were the independent risk factors for delirium of the Stanford A aortic dissection patient after surgery. Conclusion The incident rate of postoperative delirium of the Standford A aortic dissection patient is relatively high. Patients in this study with elevated pre-operative D-dimer level, lower intraoperative mean arterial pressure, longer postoperative ventilation and combination of acute kidney failure have a higher rate of postoperative delirium. Better understanding and intervention of these factors are meaningful to reduce the occurrence of postoperative delirium.
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.
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.
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 systematically evaluate the risk prediction models for postoperative delirium in adults with cardiac surgery. MethodsThe SinoMed, CNKI, Wanfang, VIP, PubMed, EMbase, Web of Science, and Cochrane Library databases were searched to collect studies on risk prediction models for postoperative delirium in cardiac surgery published up to January 29, 2025. Two researchers screened the literature according to inclusion and exclusion criteria, used the PROBAST bias tool to assess the quality of the literature, and conducted a meta-analysis of common predictors in the model using Stata 17.0 software. ResultsA total of 21 articles were included, establishing 45 models with 28733 patients. Age, cardiopulmonary bypass time, history of diabetes, history of cerebrovascular disease, and gender were the top five common predictors. The area under the curve (AUC) of the 45 models ranged from 0.6 to 0.926. Fourteen out of the 21 studies had good applicability, while the applicability of the remaining seven was unclear; 20 studies had a high risk of bias. Meta-analysis showed that the incidence of postoperative delirium in adults with cardiac surgery was 18.6% [95%CI (15.7%, 21.6%)], and age [OR=1.04 (1.04, 1.05), P<0.001], history of cerebrovascular disease [OR=1.76 (1.46, 2.06), P<0.001], gender [OR=1.73 (1.43, 2.03), P<0.001], minimum mental state examination score [OR=1.00 (0.82, 1.17), P<0.001], and length of ICU stay [OR=5.59 (4.29, 6.88), P<0.001] weer independent influencing factors of postoperative delirium after cardiac surgery. ConclusionThe risk prediction models for postoperative delirium after cardiac surgery have good predictive performance, but there is a high overall risk of bias. In the future, large-sample, multicenter, high-quality prospective clinical studies should be conducted to construct the optimal risk prediction model for postoperative delirium in adults with cardiac surgery, aiming to identify and prevent the occurrence of postoperative delirium as early as possible.
Objective To investigate the prevalence of postoperative delirium (POD) in elderly patients undergoing major orthopedic surgery and analyze its influencing factors, so as to provide evidence for early screening and intervention of POD. Methods The medical records of elderly patients undergoing major orthopedic surgery in the Department of Orthopaedics of the First Medical Center, Chinese PLA General Hospital between January 2021 and December 2022 were retrospectively collected. The included patients were divided into POD group and non-POD group. The patients’ demographic characteristics, medical history, laboratory indicators, perioperative medication, intraoperative and postoperative indicators were collected to analyze the risk factors affecting POD. Results A total of 455 elderly patients were included. Among them, there were 75 cases in the POD group and 380 cases in the non-POD group. The incidence of POD was 16.5% (75/455). There were statistically significant differences in age, body mass index, number of combined underlying diseases≥3, albumin<35 g/L, American Society of Anesthesiologists (ASA) classification, intraoperative blood loss≥200 mL, intraoperative blood transfusion, postoperative Visual Analogue Scale (VAS) score, indwelling catheters, admission to intensive care unit (ICU), and length of ICU stay between the two groups (P<0.05). The results of logistic regression analysis showed that age≥79 years, number of combined underlying diseases≥3, albumin<35 g/L, intraoperative blood loss≥200 mL, ASA grade≥Ⅲ, postoperative VAS score, and postoperative admission to ICU (P<0.05) were independent influencing factors for POD occurrence in elderly patients undergoing major orthopedic surgery. Conclusions POD is one of the common postoperative complications in elderly patients undergoing major orthopedic surgery. Age≥79 years, number of combined underlying diseases≥3, albumin<35 g/L, intraoperative blood loss≥200 mL, ASA grade≥Ⅲ, postoperative VAS score, and postoperative admission to ICU are independent risk factors for POD in elderly patients undergoing major orthopedic surgery. Clinical staff should evaluate and screen these factors early and take preventive measures to reduce the incidence of POD.