Independent Risk Factors For Postoperative Delirium Research Articles

Nomogram for predicting the risk of postoperative delirium in elderly patients undergoing orthopedic surgery

ObjectiveTo retrospectively analyze the risk factors for postoperative delirium (POD) after orthopedic surgery in elderly patients and establish an individualized nomogram to predict the risk of POD.MethodsThe data of 1011 patients who underwent orthopedic surgery from January 2019 to January 2022 were retrospectively analyzed. Univariate and multivariate logistic analyses were used to screen for independent risk factors. Stepwise regression was conducted to screen risk factors to construct a nomogram to predict the risk of POD after orthopedic surgery in elderly individuals, and nomogram validation analyses were performed.ResultsThe logistic regression results showed that age (≥ 75 years old vs. < 75 years old; odds ratio (OR) = 2.889; 95% confidence interval (CI), 1.149, 7.264), sex (male vs. female, OR = 2.368; 95% CI, 1.066, 5.261), and preoperative cognitive impairment (yes vs. no, OR = 13.587; 95% CI, 4.360, 42.338) were independent risk factors for POD in elderly patients who underwent orthopedic surgery (P < 0.05). A nomogram was constructed using 7 risk factors, i.e., age, American Society of Anesthesiologists (ASA) classification, sex, preoperative hemoglobin (Hb), preoperative pulmonary disease, cognitive impairment, and intraoperative infusion volume. The area under the curve (AUC) showed good discrimination (0.867), the slope of the calibration curve was 1.0, and the optimal net benefit of the nomogram from the decision curve analysis (DCA) was 0.01–0.58.ConclusionThis study used 7 risk factors to construct a nomogram to predict the risk of POD after major orthopedic surgery in elderly individuals, and the nomogram had good discrimination ability, accuracy, and clinical practicability.

Optimal postoperative delirium prediction after coronary artery bypass grafting surgery: a prospective cohort study.

Postoperative delirium (POD) presents as a serious neuropsychiatric syndrome in patients undergoing off-pump coronary artery bypass grafting (OPCABG) surgery. This is correlated with higher mortality, cognitive decline, and increased costs. The Age-adjusted Charlson Comorbidity Index (ACCI) is recognized as an independent predictor for mortality and survival rate. The purpose of our study is to estimate the predictive value of the ACCI on the POD in patients undergoing OPCABG surgery. This prospective cohort study enrolled patients undergoing OPCABG surgery between December 2020 and May 2021 in Qilu Hospital. Patients were divided into the low-ACCI group (score, 0-3) and the high-ACCI group (score ≥4) according to their ACCI scores. The Confusion Assessment Method for the Intensive Care Unit (CAM-ICU) and CAM were used to diagnose POD within 7 days after surgery. The general, laboratory, and clinical data of the patients were recorded and collected. The characteristic ROC curve was applied to further assess the predictive value of the ACCI for POD in patients following OPCABG surgery. A total of 89 patients were enrolled, including 45 patients in the low-ACCI group and 44 patients in the high-ACCI group. The incidence of POD was higher in the high-ACCI group than in the low-ACCI group (45.5% vs. 15.6%, P = 0.003). Multivariate logistic regression analyses showed that the ACCI (OR, 2.433; 95% CI, 1.468-4.032; P = 0.001) was an independent risk factor for POD. The ACCI accurately predicted POD in patients following OPCABG surgery with an AUC of 0.738, and the Hosmer-Lemeshow goodness of fit test yielded X2 = 5.391 (P = 0.145). The high-ACCI group showed a high incidence of POD. The ACCI was an independent factor associated with POD in patients following OPCABG surgery. In addition, the ACCI could accurately predict POD in patients following OPCABG surgery. ClinicalTrials.gov, identifier CHiCTR2100052811.

Impact of Preoperative Sleep Disturbances on Postoperative Delirium in Patients with Intracranial Tumors: A Prospective, Observational, Cohort Study.

Postoperative delirium (POD) is prevalent in craniotomy patients and is associated with high mortality. Sleep disturbances are receiving increasing attention from clinicians as associated risk factors for postoperative complications. This study aimed to determine the impact of preoperative sleep disturbances on POD in craniotomy patients. We recruited 130 patients undergoing elective craniotomy for intracranial tumors between May 1st and December 30th, 2022. Preoperative subjective sleep disturbances were assessed using the Pittsburgh Sleep Quality Index on the day of admission. We also measured objective perioperative sleep patterns using a dedicated sleep monitoring device 3 days before and 3 days after the surgery. POD was assessed twice daily using the Confusion Assessment Model for the Intensive Care Unit within the first week after craniotomy. Preoperative sleep disturbances were diagnosed in 49% of the study patients, and POD was diagnosed in 22% of all the study patients. Sleep disturbances were an independent risk factor for POD (OR: 2.709, 95% CI: 1.020-7.192, P = 0.045). Other risk factors for POD were age (OR: 3.038, 95% CI: 1.195-7.719, P = 0.020) and the duration of urinary catheterization (OR: 1.246, 95% CI: 1.025-1.513, P = 0.027). Perioperative sleep patterns (including sleep latency, deep sleep duration, frequency of awakenings, apnea-hypopnea index, and sleep efficiency) were significantly associated with POD. This study demonstrated that preoperative sleep disturbances predispose patients undergoing craniotomy to POD, also inferred a correlation between perioperative sleep patterns and POD. The targeted screening and intervention specifically for sleep disturbances during the perioperative period are immensely required.

Correlation between preoperative frailty and postoperative delirium in elderly patients undergoing hip arthroplasty.

Postoperative delirium (POD) refers to acute brain dysfunction occurring within 7 days after operation or before discharge. Frailty refers to the state that the body's physiological reserve is insufficient, so that the compensative capacity to endogenous and exogenous stress stimuli decreases. The purpose of this study is to explore the association of preoperative frailty (PF) with POD in elderly patients undergoing hip arthroplasty. Totally 228 elderly patients (age ≥ 65 years) who received elective hip arthroplasty in the Ningbo No. 6 Hospital between December 2021 and June 2022 were enrolled. One day before surgery, the frailty phenotype scale was adopted for evaluation of patients' frailty. On the 1st-3rd day after operation, the confusion assessment method was adopted for evaluation of delirium, and the patients were grouped into a POD group and non-POD group. Logistic regression was conducted to analyze the correlation between PF and POD. Among the patients, the incidence of PF was 30.70% (70/228), and the incidence of delirium within 3 days after operation was 25.88% (59/228). According to binary logistic regression analysis, PF, age, hypertension, diabetes mellitus, and preoperative sleep disorder were independent risk factors for POD in elderly patients undergoing hip arthroplasty (all P < .05). PF is a crucial risk factor for POD in elderly patients undergoing hip arthroplasty.

A predictive nomogram model for postoperative delirium in elderly patients following laparoscopic surgery for gynecologic cancers.

This study aimed to investigate potential risk factors associated with postoperative delirium (POD) in elderly patients following laparoscopic surgery for gynecologic cancers and construct a nomogram predictive model based on these factors. Eligible elderly patients who underwent laparoscopic surgery for gynecologic cancers were enrolled and grouped according to the development of POD within postoperative 7days. Potential risk factors were assessed by the univariate and multivariate logistic regression analyses. A nomogram model was constructed based on these factors and evaluated by R. A total of 226 elderly patients were enrolled in the final data analysis and 39 patients had suffered POD with an incidence of 17.3%. Older age, modified frailty index (mFI) ≥ 0.225, C-reactive protein (CRP) ≥ 8.0, systemic immune-inflammation index (SII), and albumin/fibrinogen ratio (AFR) were five independent risk factors for POD by univariate and multivariate analyses. The area under the curve (AUC) of the constructed nomogram model based on these five factors was 0.833. The constructed nomogram model based on age, CRP, SII, mFI, and AFR could effectively predict POD in elderly patients with gynecologic cancers.

A Nomogram to Predict Delirium after Hip Replacement in Elderly Patients with Femoral Neck Fractures.

Postoperative delirium (POD) is a common complication, and clinical practitioners have taken measures to improve the quality of life after hip replacement surgery. We aim to establish a nomogram to predict POD in elderly patients with femoral neck fractures (FNFs) after hip replacement. A total of 384 elderly patients (267 females) with an average age of 75.8 years who underwent hip replacement from June 2010 to May 2020 were retrospectively reviewed. Patients were divided into delirium and non-delirium groups according to the confusion assessment method. The risk factors for POD were analyzed by multivariate logistic regression, and the nomogram was established based on the results. The incidence of POD was 33.33% (128/384). Univariate analysis showed that advanced age, diabetes, lacunar cerebral infarction, surgery type, intraoperative blood loss, electrolyte imbalance, and anemia were risk factors for POD (p< 0.05). Multivariate logistic regression revealed that the independent risk factors for POD were age (OR=1.332, 95% CI [1.224, 1.449], p< 0.01), surgery type (OR=0.351, 95% CI [0.137, 0.900], p= 0.029), electrolyte imbalance (OR=4.407, 95% CI [1.947, 9.977], p< 0.01), anemia (OR=10.819, 95% CI [4.573, 25.598], p< 0.01). The prediction equation was established; logistic (p)=-25.469 + 0.277*X1(age[value=years of age]) +1.293*X2(surgery[value=0 for "total hip replacement" or value=1 for "hemiarthroplasty"]) +1.510*X3(electrolyte imbalance[value=0 for "no" or value=1 for "yes"]) +2.157*X4(anemia[value=1 for "hemoglobin with < 120g/L in male and < 110g/L in female patients" ]) or 2.975*X5(anemia[value=1 for "hemoglobin with <90g/L"]). The area under the curve was 0.957 (95% CI [0.938, 0.976], p< 0.01). The incidence of POD in elderly patients with FNF after hip replacement is high. The nomogram incorporating age, surgery type, electrolyte imbalance, and anemia could provide an individualized prediction for POD among FNF patients after hip replacement, which may help the physician determine appropriate perioperative management.

Relation between postoperative delirium and preoperative routine serum biomarkers

Background: Delirium is an acute and fluctuating change in the mental state characterised by diminished awareness and attention disturbance. Postoperative delirium (POD) is one of the most prevalent complications after surgery, especially in older indiviuals, and is related to a longer hospital stay and increased mortality.1 Although the cause of POD is less clear, several hypothesised causes include neuroinflammation, neurotransmitter imbalance, and oxidative stress, all of which may contribute to the pathophysiology of POD.2 This study aimed to investigate the relationship between routine preoperative blood inflammatory markers and POD, and the incidence and outcomes of POD. Methods: We included patients from the National Emergency Laparotomy Audit (NELA) database aged ≥65 yr at the time of operation at Queen Elizabeth Hospital, Birmingham, UK. The study was conducted prospectively and retrospectively. In the prospective part, we screened the patients for delirium 5 days postoperatively using the modified Richmond Agitation Sedation Scale (mRASS), Confusion Assessment Method for ICU (CAM-ICU),3 and patient notes. Retrospectively, the clinical notes were scanned for keywords according to a validated chart abstraction method.4 We applied the Diagnostic and Statistical Manual of Mental Disorders V (DSM-V) criteria to diagnose POD in those who screened positive. We documented the preoperative blood results, including haemoglobin, white blood cells (WBCs), neutrophils, lymphocytes, platelets, neutrophil/lymphocyte ratio (NLR), urea, creatinine, and lactate. Multivariate logistic regression analyses were performed. Results: POD was diagnosed in 49 of 164 patients (29.9%). Sepsis, renal disease, and higher ASA grade and NELA mortality scores were significantly related to POD incidence. Statistical analysis showed a significant relation between POD and higher levels of preoperative urea, C-reactive protein (CRP), CRP/albumin ratio (CAR), NLR, and platelet/lymphocyte ratio (PLR). Furthermore, low levels of haemoglobin and albumin were significantly associated with POD. POD patients required significantly longer hospital stays with higher mortality. Multivariate logistic regression analysis demonstrated that age >75 yr, sepsis, and high preoperative PLR are independent risk factors for POD. Conclusions: Higher preoperative CAR, PLR, and NLR were associated with a higher incidence of POD in patients aged ≥65 yr undergoing emergency laparotomy. Our study supports that preoperative inflammatory status can be linked to POD. Knowing the mechanisms and risk factors can help clinicians to decrease POD incidence. 1.Aldecoa C, Bettelli G, Bilotta F, et al. Eur J Anaesth 2017; 34: 192–2142.Moppett I, Noah A. Br J Anaesth 2021; 127: 424–343.Oh ES, Fong TG, Hsieh TT, Inouye SK. JAMA 2017; 318: 1161–744.Kuhn E, Lorenz R, Banaschewski T, et al. PloS One 2014; 9: e91506

Risk factors and a nomogram model for postoperative delirium in elderly gastric cancer patients after laparoscopic gastrectomy

BackgroundTo evaluate the risk factors of postoperative delirium (POD) in elderly gastric cancer (GC) patients after laparoscopic gastrectomy and construct a predictive model.MethodsElderly GC patients undergoing laparoscopic gastrectomy were enrolled and grouped based on the status of POD development within postoperative 7 days. Independent risk factors were selected out by univariate and multivariate logistic regression analyses and then enrolled in the nomogram prediction model.ResultsA total of 270 elderly GC patients were enrolled, and POD occurred in 74 (27.4%) patients within postoperative 7 days. The results of multivariate regression analysis indicated that age (OR: 3.30, 95% CI: 1.41–6.85, P < 0.001), sleeping pills (OR: 1.87, 95% CI: 1.12–3.09, P = 0.012), duration of ICU stay (OR: 1.55, 95% CI: 1.02–2.37, P = 0.029), albumin/fibrinogen ratio (AFR) (OR: 1.74, 95% CI: 1.03–2.76, P = 0.019), and neutrophils/lymphocytes ratio (NLR) (OR: 2.12, 95% CI: 1.11–4.01, P = 0.016) were five independent risk factors for POD in elderly GC patients. The AUC of the constructed nomogram model based on these five factors was 0.807.ConclusionsThis study highlighted that age, AFR, NLR, sleeping pills taking, and duration of ICU stay were independent risk factors for POD, and the nomogram model based on these factors could effectively predict POD in elderly GC patients.

The association between Monocyte-to-Lymphocyte ratio and postoperative delirium in ICU patients in cardiac surgery.

ObjectiveTo analyze the relationship between monocyte‐to‐lymphocyte ratio (MLR) and postoperative delirium (POD).MethodsThis cohort study was conducted in the Medical Information Mart for Intensive Care‐III (MIMIC‐III) version 1.4 database. MLR was measured according to the complete blood count. ICD‐9 was used to measure postoperative delirium. Multivariable logistic regression was utilized to examine the relationship between MLR and POD.ResultsThree thousand eight hundred sixty‐eight patients who had received cardiac surgery were retrospectively enrolled, including 2171 males and 1697 females, with a mean age of 63.9 ± 16.2 years. The univariate analysis suggested that high MLR (as a continuous variable) as associated with a 21% higher risk of POD (O R: 1.12, 95% CI, 1.02, 1.43, p = 0.0259), After adjustments for other confounding factors, gender, age, race, temperature, SBP, DBP, MAP, respiratory rate, SOFA, peripheral vascular disease, AG, psychoses, drug, and alcohol addiction, the results showed that high MLR (as a continuous variable) independently served as a risk factor for POD (OR: 1.21; 95% CI: 1.01–1.44; p = 0.0378). MLR was assessed as quintile and tertiles, high MLR was an independent risk factor for POD. In the subgroup analysis, there were no differences in MLR for patients with POD in pre‐specified subgroups.ConclusionsMonocyte‐to‐lymphocyte ratio was a risk factor for POD. More research is necessary to thoroughly examine the function of MLR in POD.

Early Serum Metabolism Profile of Post-operative Delirium in Elderly Patients Following Cardiac Surgery With Cardiopulmonary Bypass

BackgroundCardiac surgery with cardiopulmonary bypass (CPB) is considered to be one of the surgical types with the highest incidence of post-operative delirium (POD). POD has been associated with a prolonged intensive care and hospital stay, long-term neurocognitive deterioration, and increased mortality. However, the specific pathogenesis of POD is still unclear. Untargeted metabolomics techniques can be used to understand the changes of serum metabolites in early POD to discover the relationship between serum metabolites and disease.Materials and MethodsThe present study recruited 58 elderly patients undergoing cardiac surgery with CPB. Serum was collected within the first 24 h after surgery. The Confusion Assessment Method (CAM) and ICU-CAM assessments were used to identify patients who experienced POD. All patients with normal post-operative cognitive assessment were included in the non-POD groups. Moreover, we collected serum from 20 healthy adult volunteers. We performed untargeted analyses of post-operative serum metabolites in all surgical groups, as well as serum metabolites in healthy non-surgical adults by using liquid chromatography mass spectrometry (LC/MS) and analyzed metabolic profiles and related metabolites.ResultsThe probability of POD after cardiac surgery were 31%. There were statistically significant differences in post-operative mechanical ventilation time, ICU stay time and post-operative hospital stay between POD and non-POD group (P < 0.05). And ICU stay time was an independent risk factor for POD. The analysis revealed that a total of 51 differentially expressed metabolites (DEMs) were identified by comparing the POD and non-POD group, mostly lipids and lipid-like molecules. Three phosphatidylinositol (PI) were down-regulated in POD group, i.e., PI [18:0/18:2 (9Z, 12Z)], PI [20:4 (8Z, 11Z, 14Z, 17Z)/18:0], and PI [18:1 (9Z)/20:3 (8Z, 11Z, 14Z)]. The receiver operating characteristic (ROC) curve analysis showed that three kinds of PI metabolites had the highest area under the curve (AUC), which were 0.789, 0.781, and 0.715, respectively. Correlation analysis showed that the expression of three PIs was negatively correlated with the incidence of POD.ConclusionOur findings suggest that lipid metabolism plays an important role in the serum metabolic profile of elderly patients with POD in the early post-operative period. Low serum lipid metabolic PI was associated with incidence of POD in elderly following cardiac bypass surgery, which may provide new insights into the pathogenesis of POD.

Investigation of Risk Factors for Postoperative Delirium after Transcatheter Aortic Valve Implantation: A Retrospective Study.

Transcatheter aortic valve implantation (TAVI) is an effective treatment for severe aortic stenosis (AS); however, postoperative delirium (POD) can worsen patient outcomes. This study aimed to examine the risk factors for POD after TAVI, including possible intervening factors. We included 87 patients (mean age: 83) who underwent TAVI between May 2014 and September 2018. POD was defined by the presence or absence of delirium on ICU admission, assessed using the Confusion Assessment Method for the ICU. Factors that showed significant differences in the univariate analysis were analyzed using a multiple logistic regression analysis. In total, 31 patients (36%) had POD after ICU admission, and 56 (64%) did not. The preoperative frailty score and aortic valve opening area (AVA) were significant risk factors for POD. The multivariate analysis also showed that both factors were independent risk factors for POD (area under the receiver operating characteristic curve: 0.805). There were no significant differences in the number of ICU days. However, postoperative hospitalization was significantly longer in the POD group (19 (17–31) days vs. 16 (13–22) days; p = 0.002). POD was associated with a narrow AVA and frailty; this suggests that frailty prevention interventions according to the AVA may be important.

Albumin/fibrinogen ratio, an independent risk factor for postoperative delirium after total joint arthroplasty.

Postoperative delirium (POD) is a very common and serious complication after total joint arthroplasty (TJA), which is closely associated with many adverse consequences and a poor prognosis. This study aimed to establish the potential risk factors for POD. In total, 336 patients who underwent elective TJA under general anesthesia between 2018 and 2021 were included and deemed eligible for inclusion. POD was diagnosed based on the criteria by the Diagnostic and Statistical Manual of Mental Disorders, 5th edition (DSM V). The receiver operating characteristic curve was drawn to evaluate the predictive and cut-off values of continuous variables for POD. Potential risk factors for POD were evaluated by binary univariate and multivariate analysis with the "Enter" method. According to the criteria by DSM V, 43 patients were categorized into the POD group, with an incidence of 12.8% (43 of 336). The receiver operating characteristic curve showed that albumin/fibrinogen ratio (AFR) was a good predictor for POD with an area under the curve of 0.754, cut-off value of 9.65, sensitivity of 57.00% and specificity of 83.72% (P <0.001). A low preoperative AFR level (<9.65) was determined as the only independent risk factor for POD by the univariate and multivariate logistic regression analyses (OR: 2.45, 95% CI: 2.01-2.94, P=0.008). Our results indicate that a low AFR is an independent risk factor for POD in elderly subjects after TJA. Geriatr Gerontol Int 2022; 22: 412-417.

Risk Factors and a Nomogram Model Establishment for Postoperative Delirium in Elderly Patients Undergoing Arthroplasty Surgery: A Single-Center Retrospective Study.

Objective To explore the related risk factors of postoperative delirium (POD) after hip or knee arthroplasty in elderly orthopedic patients and the predictive value of related risk factors. Material and Methods. In total, 309 patients (≥60 years) who received knee and hip arthroplasty between January 2017 and May 2020 were consecutively selected into the POD and nonpostoperative delirium (NPOD) groups. Group bias was eliminated through propensity score matching. Univariate and multivariable logistic analysis was used to determine the risk factors for POD. The nomogram was made by R. Results 58 patients were included in each group after propensity score matching; multivariable analysis demonstrated that LDH (OR = 4.364, P = 0.017), CHE (OR = 4.640, P = 0.004), Cystatin C (OR = 5.283, P = 0.006), arrhythmia (OR = 5.253, P = 0.002), and operation duration (OR = 1.017, P = 0.050) were independent risk factors of POD. LDH, CHE, Cystatin C, and arrhythmia were used to construct a nomogram to predict the POD. The nomogram was well calibrated and had moderate discriminative ability (AUC = 0.821, 95% CI: 0.760~0.883). Decision curve analysis demonstrated that the nomogram was clinically useful. Conclusions Our study revealed that arrhythmia, operation duration, the increase of lactate dehydrogenase and Cystatin C, and the decrease of cholinesterase were reliable factors for predicting postoperative delirium after elderly hip and knee arthroplasty. Meanwhile, the nomogram we developed can assist the clinician to filtrate potential patients with postoperative delirium.

Automated machine learning-based model predicts postoperative delirium using readily extractable perioperative collected electronic data.

ObjectivePostoperative delirium (POD) is a common postoperative complication that is relevant to poor outcomes. Therefore, it is critical to find effective methods to identify patients with high risk of POD rapidly. Creating a fully automated score based on an automated machine‐learning algorithm may be a method to predict the incidence of POD quickly.Materials and methodsThis is the secondary analysis of an observational study, including 531 surgical patients who underwent general anesthesia. The least absolute shrinkage and selection operator (LASSO) was used to screen essential features associated with POD. Finally, eight features (age, intraoperative blood loss, anesthesia duration, extubation time, intensive care unit [ICU] admission, mini‐mental state examination score [MMSE], Charlson comorbidity index [CCI], postoperative neutrophil‐to‐lymphocyte ratio [NLR]) were used to established models. Four models, logistic regression, random forest, extreme gradient boosted trees, and support vector machines, were built in a training set (70% of participants) and evaluated in the remaining testing sample (30% of participants). Multivariate logistic regression analysis was used to explore independent risk factors for POD further.ResultsModel 1 (logistic regression model) was found to outperform other classifier models in testing data (area under the curve [AUC] of 80.44%, 95% confidence interval [CI] 72.24%–88.64%) and achieve the lowest Brier Score as well. These variables including age (OR = 1.054, 95%CI: 1.017~1.093), extubation time (OR = 1.027, 95%CI: 1.012~1.044), ICU admission (OR = 2.238, 95%CI: 1.313~3.793), MMSE (OR = 0.929, 95%CI: 0.876~0.984), CCI (OR = 1.197, 95%CI: 1.038~1.384), and postoperative NLR (OR = 1.029, 95%CI: 1.002~1.057) were independent risk factors for POD in this study.ConclusionsWe have built and validated a high‐performing algorithm to demonstrate the extent to which patient risk changes of POD during the perioperative period, thus leading to a rational therapeutic choice.

Effect of hypertension and medication use regularity on postoperative delirium after maxillofacial tumors radical surgery.

The incidence of postoperative delirium (POD) after maxillofacial tumors radical surgery is relatively high. There are a number of evidences showing the relationship between hypertension and decreased cerebral blood flow, as well as the relationship between cerebral ischemia and postoperative cognitive impairment. However, the impact of hypertension in the process of POD and related mechanisms remain unclear.This study included 98 elderly patients who underwent maxillofacial tumors radical surgery in our hospital, from June 2020 to December 2020. We collected the general condition of patients and related research factors before surgery, and also collected related intraoperative factors. After that, we would follow up the patients for POD evaluation.The incidence of POD in the hypertension group was 41%, compared with 12% in the nonhypertension group (P < 0.05). The incidence of POD in the irregular medication group was 62%, compared with 26% in the regular medication group (P < 0.05). Both hypertension (OR = 2.45, 95% CI = 1.11–5.72) and irregular medication use (OR = 2.35, 95% CI = 0.87–5.69) were independent risk factors for POD after this type of surgery in elderly patients.Hypertension and medication use regularity are closely related to POD. This may be related to the delayed postoperative response caused by intraoperative cerebral ischemia.

Prevalence and Factors Affecting Postoperative Delirium in a Neurosurgical Intensive Care Unit.

PURPOSE: The aim of this study was to identify the prevalence of, and factors affecting, postoperative delirium (POD) in patients in the neurosurgical intensive care unit. METHODS: A cross-sectional study of 127 Turkish neurosurgical intensive care unit patients admitted between May 2018 and May 2019 was conducted. Patients were assessed for the development of POD using the Intensive Care Delirium Screening Checklist. We collected other independent data variables daily. Data were analyzed using independent sample t test, χ2 test, and logistic regression. RESULTS: The prevalence rates of POD on the first and second postoperative days were 18.9% and 8.7%, respectively. Logistic regression analysis showed that the Glasgow Coma Scale score, albumin level, Spo2 level, hemoglobin values, undergoing cranial surgery, and having intra-arterial catheter were the independent risk factors for POD. CONCLUSION: These findings may contribute to identifying patients at risk for developing POD and developing strategies to improve patient outcomes.

Six-Minute Walk Test Predicts Postoperative Delirium After Transcatheter Aortic Valve Replacement

This study investigated the incidence and risk factors of postoperative delirium (POD) after transcatheter aortic valve replacement (TAVR) and to evaluate the association between preoperative conditions, particularly frailty, and POD. Observational, case-control study. Single-center university hospital. The study comprised 124 patients who underwent TAVR and were divided into the following two groups: group D (patients diagnosed with POD) and group C (patients without POD). None. Twenty-seven patients (21.7%) developed POD (95% confidence interval 14.9%-30.1%). POD was defined as a diagnosis of delirium using the Confusion Assessment Method for Intensive Care Unit scale during the patients' intensive care unit stay. Preoperative and postoperative data of patient characteristics were obtained from their medical records. A multivariate logistic regression analysis was performed using variables associated with POD incidence. Frailty scores were significantly higher in group D than in group C. The distance covered in the six-minute walk test (6MD) was significantly shorter in group D than in group C. The risk of developing POD was significantly higher in patients with a 6MD shorter than 220 m. Multivariate logistic regression analysis showed that a shorter 6MD was an independent risk factor for POD (odds ratio 5.66; p = 0.004). In the present study, POD was seen in 21.7% of the patients who underwent TAVR. A 6MD shorter than 220 m was an independent preoperative risk factor for POD. For patients at high risk of POD, more careful management in the perioperative period may reduce POD.

Analysis of Risk Factors for Postoperative Delirium After Liver Transplantation.

PurposeThe study aimed to analyze the incidence of postoperative delirium (POD) and associated risk factors after liver transplantation (LT).Patients and MethodsWe identified and enrolled patients undergoing LT at the Second Xiangya Hospital, Central South University between August 2018 and May 2019. We abstracted their relevant clinical information and assigned the patients into a POD group and non-POD group to compare differences in clinical information. Risk factors of POD were analyzed using logistic regression.ResultsA total of 159 LT patients were enrolled. Forty-two patients exhibited delirium (26.4%). Of the 42 with delirium, 33 (78.6%) had delirium within 3 days postoperatively and a median duration of 5 days (quartile 3–7 days). The results of binary logistic regression are as follows: preoperative ammonia (≥46 vs <46 μmol/L; OR 3.51, 95% CI [1.31–9.46], P<0.05), Model for End-Stage Liver Disease (MELD) score (≥15 vs.<15; OR 3.33, 95% CI [1.27–8.79], P<0.05), presence of hepatic encephalopathy (OR 3.30, 95% CI [1.20–9.07], P<0.05), aspartate aminotransferase (AST) on day 1 postoperatively (OR 1.33, 95% CI [1.06 −1.68], P<0.05), anhepatic period (OR 1.04, 95% CI [1.02 −1.06], P<0.01). The POD group had a longer intubation time (2925.0 vs 1410.0 min, P<0.01), ICU length of stay (6 vs 4 d, P<0.01) and increased medical costs (43.96 vs 33.74 ten thousand yuan, P<0.01).ConclusionThe incidence of POD in LT patients is a significant clinical feature. Ammonia ≥46 μmol/l, MELD score ≥15, hepatic encephalopathy, anhepatic period, and AST at 1 day postoperatively were independent risk factors for POD.

Preoperative Circulating MiR-210, a Risk Factor for Postoperative Delirium Among Elderly Patients with Gastric Cancer Undergoing Curative Resection.

Postoperative delirium (POD) is a very common complication in elderly patients with gastric cancer (GC) and associated with poor prognosis. MicroRNAs (miRNAs) serve as key post-transcriptional regulators of gene expression via targeting mRNAs and play important roles in the nervous system. This study aimed to investigate the potential predictive role of miRNAs for POD. Elderly GC patients who were scheduled to undergo elective curative resection were consequently enrolled in this study. POD was assessed at 1 day before surgery and 1-7 days after surgery following the guidance of the 5th edition of Diagnostic and Statistical Manual of Mental Disorders (DSM V, 2013). The demographics, clinicopathologic characteristics and preoperative circulating miRNAs by quantitative reverse transcription-polymerase chain reaction (qRT-PCR) were compared between patients with or without POD. Risk factors for POD were assessed via univariate and multivariate logistic regression analyses. A total of 370 participants were enrolled, of which 63 had suffered from POD within postoperative 7 days with an incidence of 17.0%. Preoperative miR-210 was a predictor for POD with an area under the curve (AUC) of 0.921, a cut-off value of 1.67, a sensitivity of 95.11%, and a specificity of 92.06%, (P<0.001). In the multivariate logistic regression model, the relative expression of serum miR-210 was an independent risk factor for POD (OR: 3.37, 95%CI: 1.98-5.87, P=0.003). In conclusion, the present study highlighted that preoperative miR-210 could serve as a potential predictor for POD in elderly GC patients undergoing curative resection.

Relationship between tumor grade and postoperative delirium in adult patients with glioma

Objective To analyze the incidence and risk factors of postoperative delirium (POD) in patients with glioma and to explore the association between WHO (World Health Organization) tumor grades and POD. Methods A second analysis of clinical data from 113 adult glioma patients in a single-center, prospective cohort study of 800 neurosurgery patients was conducted from March 2017 to February 2018 at Department of Critical Medicine (ICU), Beijing Tiantan Hospital, Capital Medical University. Patients were assessed for delirium on the first to third days post surgery (twice a day) using the Richmond Agitation-Sedation Scale (RASS) and Confusion Assessment Method for the ICU (CAM-ICU). The patient was divided into delirium group (43 cases) and non-delirium group (70 cases) by whether the patient had had delirium. We collected the patient’s general preoperative information, preoperative condition, early postoperative clinical data, and neurosurgical specialty data (including WHO grades) as potential risk factors that may be associated with the occurrence of POD. The independent risk factors of POD were identified using multivariate logistic regression analysis. In particular, the relationship between WHO glioma grade and POD was explored. Results In 113 glioma patients who were admitted to the ICU for routine postoperative monitoring, the incidence of POD was 38.1% (43/113). The incidence of POD in patients with WHO grade Ⅰ-Ⅳ gliomas increased with the increase of the WHO grade: 7.7% (1/13), 14.3% (3/21), 22.7% (5/22) and 63.0% (34/57). Among the potential risk factors, age (OR=1.08, 95% CI: 1.04-1.13, P<0.001), GCS (Glasgow coma scale) score at admission to ICU (OR=0.80, 95% CI: 0.71-0.90, P<0.001) and the WHO grade of tumor (OR=2.01, 95% CI: 1.03-3.92, P=0.041) was independent risk factors for POD. Conclusions The WHO grade of glioma is an independent risk factor for POD. With the increase of tumor grade, the incidence of POD also increases. Key words: Glioma; Neurosurgical procedures; Delirium; Neoplasm grading; Compensa-tory neuroplasticity