Introducing a machine learning algorithm for delirium prediction-the Supporting SURgery with GEriatric Co-Management and AI project (SURGE-Ahead).

INTRODUCTION: Post-operative delirium (POD) is a common complication in older patients, with an incidence of 14-56%. To implement preventative procedures, it is necessary to identify patients at risk for POD. In the present study, we aimed to develop a machine learning (ML) model for POD prediction in older patients, in close cooperation with the PAWEL (patient safety, cost-effectiveness and quality of life in elective surgery) project. METHODS: The model was trained on the PAWEL study's dataset of 878 patients (no intervention, age ≥ 70, 209 with POD). Presence of POD was determined by the Confusion Assessment Method and a chart review. We selected 15 features based on domain knowledge, ethical considerations and a recursive feature elimination. A logistic regression and a linear support vector machine (SVM) were trained, and evaluated using receiver operator characteristics (ROC). RESULTS: The selected features were American Society of Anesthesiologists score, multimorbidity, cut-to-suture time, estimated glomerular filtration rate, polypharmacy, use of cardio-pulmonary bypass, the Montreal cognitive assessment subscores 'memory', 'orientation' and 'verbal fluency', pre-existing dementia, clinical frailty scale, age, recent falls, post-operative isolation and pre-operative benzodiazepines. The linear SVM performed best, with an ROC area under the curve of 0.82 [95% CI 0.78-0.85] in the training set, 0.81 [95% CI 0.71-0.88] in the test set and 0.76 [95% CI 0.71-0.79] in a cross-centre validation. CONCLUSION: We present a clinically useful and explainable ML model for POD prediction. The model will be deployed in the Supporting SURgery with GEriatric Co-Management and AI project.

Neutrophil to lymphocyte ratio and platelet to lymphocyte ratio as prognostic predictors for delirium in critically ill patients: a systematic review and meta-analysis.

INTRODUCTION: In this systematic review and meta-analysis, we aim to analyze the current literature to evaluate neutrophil to lymphocyte ratio (NLR) and platelet to lymphocyte ratio (PLR) values among critically ill patients who develop delirium as compared to those who do not. METHODS: PubMed, Web of Science, and Scopus were used to conduct a systematic search for relevant publications published before June 12, 2022. The Newcastle-Ottawa scale was used for quality assessment. Because a significant level of heterogeneity was found, we used the random-effects model to generate pooled effects. RESULTS: Twenty-four studies including 11,579 critically ill patients, of whom 2439 were diagnosed with delirium, were included in our meta-analysis. Compared with the non-delirious group, the delirious group's NLR levels were significantly higher (WMD = 2.14; CI 95% = 1.48-2.80, p < 0.01). In the subgroup analysis according to the type of critical condition, the NLR levels in patients of delirious group were significantly more than those of non-delirious group in studies on POD, PSD and PCD (WMD = 1.14, CI 95% = 0.38-1.91, p < 0.01, WMD = 1.38, CI 95% = 1.04-1.72, p < 0.001, and WMD = 4.22, CI 95% = 3.47-4.98, p < 0.001, respectively). However, compared with the non-delirious group, the delirious group's PLR levels were not significantly different (WMD = 1.74; CI 95% = -12.39-15.86, p = 0.80). CONCLUSION: Our findings support NLR to be a promising biomarker that can be readily integrated into clinical settings to aid in the prediction and prevention of delirium.

The genome-wide DNA methylation profiles among neurosurgery patients with and without post-operative delirium.

AIMS: There is no previous study demonstrating the differences of genome-wide DNA methylation (DNAm) profiles between patients with and without postoperative delirium (POD). We aimed to discover epigenetic (DNAm) markers that are associated with POD in blood obtained from patients before and after neurosurgery. METHODS: Pre- and post-surgical blood DNA samples from 37 patients, including 10 POD cases, were analyzed using the Illumina EPIC array genome-wide platform. We examined DNAm differences in blood from patients with and without POD. Enrichment analysis with Gene Ontology and Kyoto Encyclopedia of Genes and Genomes terms were also conducted. RESULTS: When POD cases were tested for DNAm change before and after surgery, enrichment analyses showed many relevant signals with statistical significance in immune response related-pathways and inflammatory cytokine related-pathways such as "cellular response to cytokine stimulus", "regulation of immune system process", "regulation of cell activation", and "regulation of cytokine production". Furthermore, after excluding the potential effect of common factors related to surgery and anesthesia between POD cases and non-POD controls, the enrichment analyses showed significant signals such as "immune response" and "T cell activation", which are same pathways previously identified from an independent non-surgical inpatient cohort. CONCLUSIONS: Our first genome-wide DNAm investigation of POD showed promising signals related to immune response, inflammatory response and other relevant signals considered to be associated with delirium pathophysiology. Our data supports the hypothesis that epigenetics play an important role in the pathophysiological mechanism of delirium and suggest the potential usefulness of an epigenetics-based biomarker of POD.

Risk for post-operative delirium related to comorbidities in older adult cardiac patients: An integrative review.

BACKGROUND: Delirium is defined as a sudden onset of confusion due to disruption in normal brain functioning. Although it is highly prevalent in post-operative patients, most significantly the older adult population, limited information exists explaining why its onset occurs. PURPOSE: This integrative review aimed to synthesise specific comorbidities that can contribute to the development of post-operative delirium in older adult cardiac surgical patients. METHODS: PRISMA statement was used to report the identification, selection, appraisal and synthesis of articles and the PRISMA diagram reports the selection process. The Johns Hopkins Evidence-Based Practice Tools were used as guide in literature review, critical analysis, levelling of evidence and quality rating. PubMed, ProQuest, CINAHL plus, EMBASE, MEDLINE, Ovid Nursing Collection and Cochrane databases were searched from 2015 to 2020. RESULTS: The initial search yielded 1529 articles. Following the removal of duplicates and screening, 14 articles were included for this review. The following comorbidities were identified in the studies: Diabetes mellitus, atrial fibrillation, depression, impaired olfaction, pre-existing cerebrovascular disease, pre-existing cardiovascular disease, insomnia and frailty. CONCLUSION: There was a strong indication of the development of post-operative delirium among older adult cardiac surgical patients with comorbidities. RELEVANCE TO CLINICAL PRACTICE: Awareness of the impact of comorbidities in developing post-operative delirium may help healthcare providers to plan and implement proper care management among older adult cardiac surgical patients with comorbidities.

The association between the inflammatory response following surgery and post-operative delirium in older oncological patients: a prospective cohort study.

INTRODUCTION: Post-operative delirium (POD) is associated with increased morbidity and mortality rates in older patients. Neuroinflammation, the activation of the intrinsic immune system of the brain, seems to be one of the mechanisms behind the development of POD. The aim of this study was to explore the association between the perioperative inflammatory response and the development of POD in a cohort of older oncological patients in need for surgery. METHODS: In this prospective cohort study, patients 65 years and older in need for oncologic surgery were included. Inflammatory markers C-reactive protein (CRP), interleukin-1 beta (IL-1ß), IL-6, IL10 and Neutrophil gelatinase-associated lipocalin (NGAL) were measured in plasma samples pre- and post-operatively. Delirium Observation Screening Scale (DOS) was used as screening instrument for POD in the first week after surgery. In case of positive screening, diagnosis of POD was assessed by a clinician. RESULTS: Between 2010 and 2016, plasma samples of 311 patients with median age of 72 years (range 65-89) were collected. A total of 38 (12%) patients developed POD in the first week after surgery. The perioperative increase in plasma levels of IL-10 and NGAL were associated with POD in multivariate logistic regression analysis (OR 1.33 [1.09-1.63] P = 0.005 and OR 1.30 [1.03-1.64], P = 0.026, respectively). The biomarkers CRP, IL-1ß and IL-6 were not significantly associated with POD. CONCLUSIONS: Increased surgery-evoked inflammatory responses of IL-10 and NGAL are associated with the development of POD in older oncological patients. The outcomes of this study contribute to understanding the aetiology of neuroinflammation and the development of POD.

A clinical risk analysis of early post-operative delirium after laparoscopic colorectal cancer surgery in elderly patients: a retrospective study.

PURPOSE: Early post-operative delirium (EPOD) is a frequent complication following colorectal surgery. The present study investigated the risk factors for EPOD after laparoscopic colorectal surgery in elderly patients. METHODS: A retrospective study was conducted among 208 patients ≥70 years old who underwent laparoscopic colorectal surgery. Univariate and multivariate analyses were performed to determine the clinicopathological factors associated with the EPOD. RESULTS: The overall incidence of EPOD was 10.1% (21/208). The univariate analysis showed that an older age (≥80 years old; P=0.002), sleeping pill medication before surgery (P=0.037), a history of dementia (P=0.030) and cerebrovascular disease (P=0.017), elevated levels of D-dimer (P=0.016), maximum intraoperative temperature ≥37 °C (P=0.036), and non-continuous usage of droperidol with analgesia (P=0.005) were associated with EPOD. The multivariate logistic regression analysis revealed an older age (≥80 years old; odds ratio [OR]: 6.26, 95% confidence interval [CI]: 1.94-20.15, P=0.002), sleeping pill medication before surgery (OR: 5.39, 95% CI: 1.36-21.28, P=0.016), history of cerebrovascular disease (OR: 3.91, 95% CI: 1.12-13.66, P=0.033), and maximum intraoperative temperature ≥37 °C (OR: 5.10, 95% CI: 1.53-16.92, P=0.008) to be independent risk factors. When the patients were divided into groups according to the number of positive risk factors, the prevalence rate was 6.5%, 16.0%, and 63.6% for patients with 1, 2, and 3 positive risk factors, respectively. CONCLUSION: Our findings suggest that an older age, sleeping pill medication before surgery, history of cerebrovascular disease, and maximum intraoperative temperature ≥37 °C are independent risk factors of EPOD after laparoscopic colorectal surgery in elderly patients.

Frontal electroencephalogram activity during emergence from general anaesthesia in children with and without emergence delirium.

BACKGROUND: Emergence delirium (ED) in children after general anaesthesia causes significant distress in patients, their family members, and clinicians; however, electroencephalogram (EEG) markers predicting ED have not been fully investigated. METHODS: This prospective, single-centre observational study enrolled children aged 2-10 yr old under sevoflurane anaesthesia. ED was assessed according to Diagnostic and Statistical Manual of Mental Disorders (DSM) IV or 5 criteria. The relative power of low-frequency (delta and theta) and high-frequency (alpha and beta) EEG waves during the emergence period was compared between the children with and without ED. The linear relationships between the relative power and peak Paediatric Assessment of Emergence Delirium (PAED) score were investigated. RESULTS: Among the 60 patients, 22 developed ED (ED group), whereas the other 38 did not (non-ED group). The relative power of the delta wave was higher (mean [standard deviation], 0.579 [0.083] vs 0.453 [0.090], respectively, P<0.001) in the ED group, whereas that of the alpha and beta waves was lower in the ED group, than in the non-ED group (0.155 [0.063] vs 0.218 [0.088], P=0.005 and 0.114 [0.069] vs 0.186 [0.070], P<0.001, respectively). The areas under the receiver operating characteristic curves of the relative power of the delta wave, low-to-high frequency power ratio, and delta-to-alpha ratio were 0.837 (95% confidence interval, 0.737-0.938), 0.835 (0.735-0.934), and 0.768 (0.649-0.887), respectively. The relative power of the delta wave and the two ratios had a positive linear relationship with the peak PAED scores. CONCLUSIONS: Paediatric patients developing ED have increased low-frequency (delta) frontal EEG activity with reduced high-frequency (alpha and beta) activity during emergence from general anaesthesia. CLINICAL TRIAL REGISTRATION: NCT03797274.

Association between discontinuation of benzodiazepine receptor agonists and post-operative delirium among inpatients with liaison intervention: A retrospective cohort study.

BACKGROUND: Several studies have investigated the association between benzodiazepine receptor agonist (BZDRA) use during the perioperative period and an elevated incidence of delirium. However, no study has focused on the time course of BZDRA use, including continuation, discontinuation, initiation, and no use. This study aimed to examine the influence of the time course of BZDRA use on post-operative delirium. METHODS: This retrospective cohort study was conducted by reviewing medical records. We included patients who were scheduled for surgery under general anesthesia and had been referred to a liaison psychiatrist for pre-operative psychiatric assessment. The patients were classified into four groups based on the pre- and post-operative time course of oral BZDRA use, as follows: continuation, discontinuation, initiation, and no use (never used). The primary outcome was the prevalence of post-operative delirium in non-intensive care unit settings. We also performed stratified analyses according to age, the presence of cognitive impairment, the presence of delirium history, and antipsychotic drug use on admission. RESULTS: Among 250 patients, 78 (31%) developed post-operative delirium. The Discontinuation group had a higher rate of delirium (49%, 24/49) than the other groups (Continuation [14%, 4/29]; Initiation [38%, 3/8], Never used [29%, 47/164], p = 0.008). CONCLUSIONS: Abrupt discontinuation of BZDRAs during the perioperative period may be a risk factor for post-operative delirium and should therefore be avoided.

Delirium post-cardiac surgery: Incidence and associated factors.

BACKGROUND: Post-operative delirium among cardiac surgery patients is a prevalent complication that associated with multiple negative outcomes. AIM: This study aimed to assess delirium incidence, associated factors, and outcomes for adult patients who underwent elective cardiac surgery. DESIGN: An exploratory prospective cohort design was used for this study. METHODS: Delirium was diagnosed by the Confusion Assessment Method for the Intensive Care Unit. Incidence, preoperative, intraoperative, and post-operative variables for 245 patients during 3-month period were collected and analysed. RESULTS: Delirium developed in 9% (n = 22) of the sample. Patients with delirium were significantly older (mean age = 65.7, SD = 8.1), t (243) = -3.66, P < .05); had longer surgery time (mean time = 286.3, SD = 82.2), t (243) = -2.25, P < .05); received more blood post-surgery (t (243) = -3.86, P < .05); spent more time on mechanical ventilation (t [21.6] = -2.2, P < .05); had longer critical care unit stay (t [21.7] = -4.0, P < 0.05); and had longer hospitalization than patients without delirium. CONCLUSIONS: The risk factors associated with development of delirium were advanced age and increased duration of surgery. Negative outcomes associated with delirium were increased duration of mechanical ventilation, increased volume of post-operative infused colloids and blood/products, increased critical care unit stay, and increased hospitalization. A multifactorial model for delirium risk factors should be considered to detect and work on potentially preventable delirium factors. RELEVANCE TO CLINICAL PRACTICE: Post-cardiac surgery delirium leads to longer mechanical ventilation time, increased ICU stay, and prolonged hospitalization. Delirium post-cardiac surgery is potentially preventable with appropriate identification of risk factors by nurses.

Incidence, determinants and consequences of delirium in older patients after transcatheter aortic valve implantation.

BACKGROUND: delirium is an event leading to negative health outcomes and increased mortality in patients. The aim of this study is to investigate the incidence, determinants and consequences of post-operative delirium (POD) in older patients undergoing transcatheter aortic valve implantation (TAVI). METHODS: The TAVI Care and Cure program is a prospective, observational registry in patients referred for TAVI at Erasmus University Medical Centre. The presence of delirium was evaluated by daily clinical assessment by a geriatrician pre- and up to 3 days post-TAVI. Mortality data were obtained from the Dutch Civil Registry. RESULTS: A total of 543 patients underwent TAVI between January 2014 and December 2017. Overall, the incidence of POD was 14% (75/543 patients) but declined from 18% in 2014 to 7% in 2017 (P = 0.009). Patients who developed POD were older (81.9 ± 5.8 versus 78.6 ± 8.3 years, P < 0.001), had higher prevalence of renal dysfunction and prior stroke (54% versus 40%, P = 0.02; 31% versus 18%, P = 0.01) and were more often frail (32% versus 25%, P = 0.02). From a procedural perspective, general anesthesia (odds ratios (OR), 2.31; 95% CI, 1.40-3.83; P = 0.001), non-transfemoral access (OR, 2.37; 95% CI, 1.20-4.70; P = 0.01) and longer procedural time (OR, 1.01; 95% CI, 1.01-1.02; P < 0.001) were significantly associated with POD. One-year survival rate was 68% among patients who had suffered a POD and was 85% in patients without a POD (hazard ratio's 1.8 (95% CI 1.01-3.10), P = 0.045). CONCLUSION: POD frequently occurs after TAVI and is associated with increased mortality. It might be speculated that patient selection and the minimalistic approach of TAVI may reduce the frequency of delirium.

A Systematic Review of Postoperative Delirium in the Urologic Patient.

PURPOSE OF REVIEW: Postoperative delirium (POD) is a common phenomenon among general surgery patients, but it is not well described in urologic surgical patients. We sought to define the incidence and predictive risk factors for POD in patients undergoing urologic surgery. RECENT FINDINGS: Eighteen articles were included for review. The pooled incidence rate of postoperative delirium after urologic surgery was 1.69% (0.69-46.97%). Longer intraoperative time, male sex, unmarried status, and age were shown to be risk factors for POD. POD is common after many urologic surgeries and leads to worse postoperative outcomes and higher healthcare utilization. Future studies are needed to better assess for and prevent POD.

Post-operative delirium associated with metabolic alterations following hemi-arthroplasty in older patients.

BACKGROUND: post-operative delirium (POD) is a common complication in older patients, though a possible link between metabolic changes and POD development has yet to be investigated. METHODS: older patients with hip fracture who underwent hemi-arthroplasty were recruited, and delirious states were assessed for 3 days after surgery using the confusion assessment method-Chinese revision. Simultaneously, fasting blood samples were collected on the morning of surgery and on the first post-operative day. Ultimately, 244 older patients who met the inclusion and exclusion criteria were assessed. Blood samples from 60 patients with POD and 60 matched controls were analysed using metabolomics platforms. RESULTS: sixty patients (24.6%) developed POD. Principal component analysis scores plot and cross-validated scores plots from orthogonal partial least squares-discriminant analysis were implemented to visualise the differences in metabolites between the two groups before and after surgery (P < 0.05). Our data indicate that levels of ω3 and ω6 fatty acids were lower in the POD group than in the NPOD (non-POD) group both before and after surgery; tricarboxylic cycle intermediate levels were lower in the POD group than in the NPOD group, but glycolysis products were higher in the POD group than in the NPOD group after surgery. Furthermore, the branched-chain amino acid (BCAA)/aromatic amino acid ratio was lower in the POD group than in the NPOD group after surgery. CONCLUSIONS: metabolic abnormalities, including deficiencies in ω3 and ω6 fatty acids, perturbations in tricarboxylic cycle and oxidative stress and metabolic imbalances in BCAA and AAA might contribute to POD development.

C-reactive protein for risk prediction of post-operative delirium and post-operative neurocognitive disorder.

BACKGROUND: Post-operative delirium (POD) and post-operative neurocognitive disorder (NCD) are frequently seen in the elderly. Development of biomarkers for pre-operative risk prediction is of major relevance. As inflammation present before surgery might predispose to POD and post-operative NCD development, we aim to determine associations between pre-operative C-reactive protein (CRP) and the incidence of POD and post-operative NCD. METHODS: In this observational study, we analyzed 314 patients enrolled in the SuDoCo trial, who had a pre-operative CRP measurement the day before surgery. Primary outcomes were POD assessed according DSM-4 from day 1 until day 7 after surgery and post-operative NCD assessed 3 months after surgery. We conducted multivariable logistic regression analysis adjusted for age, sex, randomization, body mass index, MMSE, ASA status, infection/autoimmune disease/malignoma and types of surgery to determine associations between CRP with POD and post-operative NCD, respectively. RESULTS: Pre-operative CRP was independently associated with POD [OR 1.158 (95% CI 1.040, 1.291); P = .008]. Patients with CRP values ≥5 mg/dL had a 4.8-fold increased POD risk [OR 4.771 (95% CI 1.765, 12.899; P = .002)] compared to patients with lower CRP values. However, no association was seen between pre-operative CRP and post-operative NCD [OR 0.552 (95% CI 0.193, 1.581); P = .269]. CONCLUSIONS: Pre-operative CRP levels were independently associated with POD but not post-operative NCD after three months. Moreover, higher pre-operative CRP levels showed higher risk for POD. This strengthens the role of inflammation in the development of POD. Assessment of CRP before surgery might allow risk stratification of POD. TRIAL REGISTRATION: This study was registered with ISRCTN Register 36437985 on 02 March 2009.

Pre-operative biomarkers and imaging tests as predictors of post-operative delirium in non-cardiac surgical patients: a systematic review.

BACKGROUND: Post-operative delirium (POD) is a common post-operative complication in elderly individuals and imposes a significant health and financial burden. Identifying predictive biomarkers may help understand the pathophysiology of POD. Our objective is to summarize the evidence of pre-operative biomarkers and imaging tests to predict POD in patients undergoing non-cardiac surgery. METHODS: A systematic search of English language articles in MEDLINE, EMBASE, Cochrane Database, PsychINFO, PubMed and ClinicalTrials. Gov up to January 2018 was performed. Studies that used biomarkers or imaging tests to predict POD and a validated POD assessment tool were included. Animal studies, paediatric, cardiac and intracranial surgery were excluded. Risk of bias was assessed using the Quality In Prognosis Study tool. RESULTS: Thirty-four prospective cohort studies involving 4424 patients were included. Nineteen studies described serum tests [Interleukin-6, Insulin-like Growth Factor 1, C-Reactive Protein (CRP), cholinesterases, apolipoprotein-E genotype, leptin, hypovitaminosis, hypoalbuminaemia, gamma-amino butyric acid], 10 described cerebral-spinal fluid tests (monoamine precursor, melatonin, acute phase proteins, S100B and neurofibrillary tangles), and 5 described imaging tests. Two studies had high risk of bias due to unclear outcome measurement and study participation. CRP was significantly associated with POD in 5 studies. Other biomarkers were either examined by only a single study or two or more studies with conflicting results. CONCLUSION: CRP is the most promising biomarker associated with POD. However, we are still in the early stages in identifying biomarkers and imaging tests that may further understanding of the pathophysiology of POD.

Observational cohort study examining apolipoprotein E status and preoperative neuropsychological performance as predictors of post-operative delirium in an older elective arthroplasty population.

Introduction: delirium following surgery is common and is associated with negative outcomes. Preoperative cognitive impairment has been shown to be a risk factor for post-operative delirium. Often the cognitive tests used are cumbersome. This study tests the hypothesis that the quantification of brain vulnerability, using Apolipoprotein E (ApoE) status and neuropsychological tests, both traditional and more easily administered, can quantify the risk of post-operative delirium following elective primary arthroplasty surgery. Methods: this observational cohort study recruited participants aged 65 years or older admitted prior to elective primary hip or knee arthroplasty. Baseline data was collected and participants underwent neuropsychological testing and had blood taken for ApoE genotyping preoperatively. Post-operatively participants were assessed daily for delirium using the Confusion Assessment Method (CAM) and charts were reviewed where possible for reports of delirium. Univariate and multivariate analyses of preoperative factors were undertaken to identify independent predictors of delirium. Results: between March 2012 and October 2014, 315 participants completed the study with an overall incidence of post-operative delirium of 40/315 (12.7%). Of these 18 fulfilled the CAM criteria for delirium and 22 were deemed delirious by consensus decision based on chart review. ApoE genotype was not associated with post-operative delirium in this cohort. Time taken to complete Colour Trails 2, errors in mini mental state examination and level of pain preoperatively were independent predictors of post-operative delirium. Conclusions: this study challenges the assertion that ApoE4 genotype predicts post-operative delirium. It replicates previous work suggesting cognitive impairment predicts post-operative delirium and shows for the 1st time that simple cognitive tests can be as effective as more detailed tests.

Association of pre-operative medication use with post-operative delirium in surgical oncology patients receiving comprehensive geriatric assessment.

BACKGROUND: Older patients undergoing surgery tend to have a higher frequency of delirium. Delirium is strongly associated with poor surgical outcomes. This study evaluated the association between pre-operative medication use and post-operative delirium (POD) in surgical oncology patients receiving comprehensive geriatric assessment (CGA). METHODS: A total of 475 patients who were scheduled for cancer surgery and received CGA from January 2014 to June 2015 were included. Pre-operative medication review through CGA was conducted on polypharmacy (≥5 medications), delirium-inducing medications (DIMs), fall-inducing medications (FIMs), and potentially inappropriate medications (PIMs). POD was confirmed by psychiatric consultation, and DSM-V criteria were used for diagnosing delirium. The model fit of the prediction model was assessed by computing the Hosmer-Lemeshow goodness-of-fit test. Effect size was measured using the Nagelkerke R(2). Discrimination of the model was assessed by an analysis of the area under receiver operating curve (AUROC). RESULTS: Two models were constructed for multivariate analysis based on univariate analysis; model I included dementia and DIM in addition to age and sex, and model II included PIM instead of DIM of model I. Every one year increase of age increased the risk of POD by about 1.1-fold. DIM was a significant factor for POD after adjusting for confounders (AOR 12.78, 95 % CI 2.83-57.74). PIM was also a significant factor for POD (AOR 5.53, 95 % CI 2.03-15.05). The Hosmer-Lemeshow test results revealed good fits for both models (χ(2) = 3.842, p = 0.871 for model I and χ(2) = 8.130, p = 0.421 for model II). The Nagelkerke R(2) effect size and AUROC for model I was 0.215 and 0.833, respectively. Model II had the Nagelkerke R(2)effect size of 0.174 and AUROC of 0.819. CONCLUSIONS: These results suggest that pharmacists' comprehensive review for pre-operative medication use is critical for the post-operative outcomes like delirium in older patients.

Incidence and Risk Factors of Developing Post-operative Delirium Among Elderly Patients in a Tertiary Care Hospital: A Retrospective Chart Review.

Introduction Delirium is an acute and fluctuating decline in attention and cognition caused by reversible neural disruption. Post-operative delirium (POD) may happen 10 minutes after anesthesia administration up to discharge. POD has been associated with increased days of mechanical ventilation, increased patients' functional decline, prolonged intensive care unit (ICU) stay, and prolonged hospital length of stay, which can lead to nosocomial complications, further investigations, and increased treatment costs. In this study, we aim to determine the prevalence of POD and identify demographic or surgical variables associated with POD. Materials and methods This retrospective cross-sectional study was conducted at the National Guard Health Affairs Hospital (NGHA), a teaching tertiary care center in Riyadh, Kingdom of Saudi Arabia. The study included all patients older than 65 who developed POD from January 2017 to January 2023 and a control group of the same time window. The data were analyzed using custom Python code. Results The study included 108 patients, 72 of whom were male patients. General anesthesia was most used compared to other anesthesia techniques (79.630%). Patients with hypertension (HTN) and diabetes mellitus (DM) each account for 75 cases. Elective surgeries account for 86.111% of cases. Our analysis showed a significant association between POD and advanced age, male gender, DM, HTN, congestive heart failure (CHF), and chronic kidney disease (CKD).  Conclusion With our study, we hope to aid the process of better understanding POD to help healthcare providers identify high-risk patients, implement preventative measures, and enhance patient safety and satisfaction.

Emergence delirium: an overview with an emphasis on the use of electroencephalography in its management.

Emergence delirium remains a clinically significant issue, which often leads to distress among pediatric patients, parents, and staff in the short term; and may also result in postoperative maladaptive behaviors persisting for weeks to months. Although several diagnostic tools are available, the Pediatric Anesthesia Emergence Delirium Scale is most often utilized. Many risk factors contributing to the likelihood of a pediatric patient developing emergence delirium have been identified; however, its accurate prediction remains challenging. Recently, intraoperative electroencephalographic monitoring has been used to improve the prediction of emergence delirium. Similarly, it may also prevent emergence delirium if the anesthesiologist ensures that the at-risk patient rouses only after the onset of appropriate electroencephalogram patterns, thus indicating a change to natural sleep. Prediction of at-risk patients is crucial; preventing emergence delirium may begin early during patient preparation by using non-pharmacological methods (i.e., the ADVANCE program). Intraoperative electroencephalographic monitoring can predict emergence delirium. This review also discusses a range of pharmacological treatment options which may assist the anesthesiologist in preventing emergence delirium among at-risk patients.

Association of pre-operative brain pathology with post-operative delirium in a cohort of non-small cell lung cancer patients undergoing surgical resection.

OBJECTIVE: Post-operative delirium is associated with pre-operative cognitive difficulties and diminished functional independence, both of which suggest that brain pathology may be present in affected individuals prior to surgery. Currently, there are few studies that have examined imaging correlates of post-operative delirium. To our knowledge, none have examined the association of delirium with existing structural pathology in pre-operative cancer patients. Here, we present a novel, retrospective strategy to assess pre-operative structural brain pathology and its association with post-operative delirium. Standard of care structural magnetic resonance imaging (MRIs) from a cohort of surgical candidates prior to surgery were analyzed for white matter hyperintensities and cerebral atrophy. METHODS: We identified 23 non-small cell lung cancer patients with no evidence of metastases in the brain pre-operatively, through retrospective chart review, who met criteria for post-operative delirium within 4 days of surgery. 24 age- and gender-matched control subjects were identified for comparison to the delirium sample. T1 and fluid-attenuated inversion recovery sequences were collected from standard of care pre-operative MRI screening and assessed for white matter pathology and atrophy. RESULTS: We found significant differences in white matter pathology between groups with the delirium group exhibiting significantly greater white matter pathology than the non-delirium group. Measure of cerebral atrophy demonstrated no significant difference between the delirium and non-delirium group. CONCLUSIONS: In this preliminary study utilizing standard of care pre-operative brain MRIs for assessment of structural risk factors to delirium, we found white matter pathology to be a significant risk factor in post-operative delirium. Limitations and implications for further investigation are discussed.