Objective To evaluate the effect of exogenous melatonin and its analogues on the prevention of delirium in critically ill patients by meta-analysis. Methods Randomized controlled trials of exogenous melatonin and its analogues in the prevention of delirium in critically ill patients were searched by computer from the Cochrane Library, PubMed, Web of Science, Embase, China National Knowledge Infrastructure, Chongqing VIP, Wanfang, and SinoMed databases. The trial group was treated with melatonin or its analogues, while the control group was treated with placebo. The retrieval period was from the establishment of database to January 14th, 2021. Two researchers independently evaluated the literature quality, and meta-analysis was performed using RevMan 5.4 software. Results A total of 11 randomized controlled trials containing 1177 patients were enrolled, including 588 patients in the trial group and 589 patients in the control group. The results showed that exogenous melatonin and its analogues could reduce the occurrence of delirium in critically ill patients [odds ratio (OR)=0.45, 95% confidence interval (CI) (0.22, 0.91), P=0.03] and shorten the time of mechanical ventilation [standard mean difference (SMD)=−0.49, 95%CI (−0.94, −0.03), P=0.04], while might not affect the mortality rate [OR=0.73, 95%CI (0.46, 1.17), P=0.19] or length of intensive care unit stay [SMD=−0.05, 95%CI (−0.26, 0.15), P=0.61]. Conclusions The current evidence shows that exogenous melatonin and its analogues have some effect on reducing the occurrence of delirium and shortening the duration of mechanical ventilation in critically ill patients, and have no significant effect on reducing the mortality or length of intensive care unit stay. The above conclusions need to be confirmed by more high-quality studies.
Delirium is an acute, transient, usually reversible, fluctuating disturbance in consciousness, attention, cognition, and perception. Delirium after cardiac operations is associated with increased morbidity, reduced cognitive functioning, increased short-term and long-term mortality, longer hospitalization and higher hospitalization cost. The diagnosis, prevention and treatment of delirium are of great importance for perioperative care of patients undergoing cardiac surgery. Effective delirium screening tools are very helpful for the recognition and monitoring of delirium after cardiac surgery. In recent years, there has been many new strategies for the treatment, nursing care and prevention of delirium after cardiac surgery. This review focuses on the incidence, risk factors, diagnostic methods, treatment and preventive strategies of delirium after cardiac surgery.
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.
Objective To evaluate the influence of early mobilization on delirium and respiratory dynamics in mechanically ventilated patients with acute exacerbation of chronic obstructive pulmonary disease (AECOPD). Methods The study prospectively recruited 107 AECOPD patients who admitted between January 2014 and June 2015 and underwent mechanical ventilation.On basis of same routine treatment,the patients were randomly divided into a treatment group (54 cases)receiving regime of early mobilization,and a control group (53 cases)receiving routine sedation and analgesia treatment.The incidence of delirium,duration of delirium,time of mechanical ventilation,and ICU mortality were compared between two groups.The respiratory mechanical parameters including endogenous positive end expiratory pressure (PEEPi),airway resistance(Raw),static compliance(Cs),and dynamic compliance(Cd)before treatment,3 days and 5 days after treatment were also compared between two groups. Results Compared with the control group,the incidence of delirium decreased (59.3% vs. 77.4%),the duration of delirium [(1.8±1.1)d vs. (2.6±1.3)d] and mechanical ventilation[(6.2±3.4)d vs. (7.9±4.2)d] reduced in the treatment group with significant difference(P<0.05).There was no significant difference in respiratory mechanical parameters before treatment between two groups(P>0.05).While at 3 days and 5 days after treatment,PEEPi decreased [(6.23±2.83)cm H2O vs. (7.42±2.62)cm H2O,(4.46±2.20)cm H2O vs. (5.92±2.51)cm H2O],Raw decreased [(20.35±7.15)cmH2O·L-1·s-1 vs. (23.23±6.64)cm H2O·L-1·s-1,(16.00±5.41)cm H2O·L-1·s-1 vs. (19.02±6.37)cm H2O·L-1·s-1],Cd increased [(25.20±9.37)mL/cm H2O vs (21.75±7.38)mL/cm H2O,(27.46±5.45)mL/cm H2O vs. (24.40±6.68)mL/cm H2O] in the treatment group compared with the control group(P<0.05),and the difference in Cs was not significant(P>0.05).No complications such as slippage,physical injury,or malignant arrhythmia occurred in two groups.The mortality slightly decreased in the treatment group compared with the control group (5.6% vs 11.3%),but the difference was not statistically significant(P>0.05). Conclusions The incidence of delirium is high in mechanically ventilated patients with AECOPD.Early mobilization can reduce the incidence and duration of delirium,decrease the airway resistance,increase the dynamic lung compliance,relieve dynamic pulmonary hyperinflation and reduce PEEPi,so as to improve the respiratory function and shorten the time of mechanical ventilation.Therefore,early mobilization is an effective and safe regime for AECOPD patients underwent mechanical ventilation.
ObjectivesTo systematically review the clinical efficacy and safety of antipsychotics for delirium. MethodsDatabases including The Cochrane Library (Issue 5, 2015), PubMed, MEDLINE, EMbase, CNKI, VIP and WanFang Data were electronically searched for randomized controlled trials (RCTs) about antipsychotics compared with placebo/blank for delirium from inception to May 2015. We also hand-searched related conference proceedings and references of included studies for additional studies. Two reviewers independently screened literature, extracted data, and assessed the risk of bias of included studies. Then, meta-analysis was conducted by using RevMen 5.3 software. ResultsA total of 7 RCTs involving 712 patients were included. The results of meta-analysis showed that there were no significant differences between the antipsychotics group and the placebo/blank group in mortality (RR=1.00, 95%CI 0.90 to 1.10, P=0.99), duration of delirium (MD=-1.53, 95%CI -4.95 to 1.89, P=0.38), length of stay (MD=-0.89, 95%CI -7.69 to 5.90, P=0.80), and ICU stay time (MD=-3.70, 95%CI -15.83 to 8.43, P=0.55). Compared with the placebo/ blank group, the antipsychotics could reduce the severity of delirium (SMD=-1.62, 95%CI -2.32 to -0.93, P<0.000 01). ConclusionCurrent evidence shows that the efficacy of antipsychotics in the treatment of delirium is not clear. Due to the limited quantity and quality of the included studies, the above conclusion needs to be further verified by more high quality studies.
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.
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.
目的:分析脊柱外科患者术后并发谵妄综合征的原因,总结其诊断、预防、治疗。方法:回顾性分析我科2008年10月至2009年4月脊柱手术167例,其中11例患者术后发生谵妄综合征。结果:11例患者均给予氟哌啶醇5mg im bid治疗,平均使用5.6天,症状缓解;并获3~6月随访,无一例复发谵妄综合征。结论:谵妄综合征是脊柱外科患者术后常见并发症,其发生与年龄,性别,低血糖等有关,目前治疗首选氟哌啶醇。