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.
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.
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.
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.
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.
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 systematically evaluate the risk factors for postoperative delirium (POD) in patients undergoing lung resection. MethodsPubMed, Web of Science, The Cochrane Library, CNKI, Wanfang, and VIP databases were searched from the inception to November 7, 2024 for cross-sectional studies, case-control studies, and cohort studies on POD in patients undergoing lung resection. Two researchers independently screened the literature, extracted data, and evaluated the quality of the literature. RevMan 5.4.1 software was used for meta-analysis. The Newcastle-Ottawa Scale (NOS) was used to evaluate the quality of the literature. ResultsA total of 12 studies were included, with 5 574 patients. The quality scores of the literature were all ≥6 points. Meta-analysis results showed that age (≥60 years) [OR=2.43, 95%CI (2.01, 2.93), P<0.01], ASA classification (Ⅳ) [OR=8.74, 95%CI (5.23, 14.61), P<0.01], history of diabetes [OR=12.81, 95%CI (10.45, 15.71), P<0.01], history of cerebrovascular disease [OR=3.00, 95%CI (2.46, 3.67), P<0.01], depression [OR=7.27, 95%CI (5.46, 9.67), P<0.01], squamous cell carcinoma [OR=4.79, 95%CI (1.83, 12.51), P<0.01], malnutrition [OR=5.25, 95%CI (3.35, 8.25), P<0.01], sleep disorders [OR=2.79, 95%CI (2.28, 3.42), P<0.01], and duration of one-lung ventilation during surgery [OR=1.32, 95%CI (1.11, 1.57), P<0.01] are all risk factors for POD, while high body mass index [OR=0.96, 95%CI (0.95, 0.97), P<0.01] is a protective factor for POD. ConclusionAge (≥60 years), ASA classification (Ⅳ), history of diabetes, history of cerebrovascular disease, depression, squamous cell carcinoma, malnutrition, sleep disorders, and duration of one-lung ventilation during surgery are independent risk factors for POD, while high BMI is a protective factor.
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 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.
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.