Performance of machine learning algorithms for lung cancer prediction: a comparative approach.

Due to the excessive growth of PM 2.5 in aerosol, the cases of lung cancer are increasing rapidly and are most severe among other types as the highest mortality rate. In most of the cases, lung cancer is detected with least symptoms at its later stage. Hence, clinical records may play a vital role to diagnose this disease at the correct stage for suitable medication to cure it. To detect lung cancer an accurate prediction method is needed which is significantly reliable. In the digital clinical record era with advancement in computing algorithms including machine learning techniques opens an opportunity to ease the process. Various machine learning algorithms may be applied over realistic clinical data but the predictive power is yet to be comprehended for accurate results. This paper envisages to compare twelve potential machine learning algorithms over clinical data with eleven symptoms of lung cancer along with two major habits of patients to predict a positive case accurately. The result has been found based on classification and heat map correlation. K-Nearest Neighbor Model and Bernoulli Naive Bayes Model are found most significant methods for early lung cancer prediction.

Delirium prevalence in emergency department patients: A systematic review and meta-analysis.

BACKGROUND: Delirium is a common acute mental disorder, and its adverse outcomes often cause distress to both patients and their families. Despite its prevalence in patients treated in emergency departments, delirium is frequently overlooked. AIM: This study aims to systematically evaluated and meta-analysis the prevalence of delirium among emergency patients, providing insights into its prevalence and offering guidance for its management and prevention. STUDY DESIGN: Observational studies on the prevalence of delirium in emergency departments were systematically searched in PubMed, Embase, the Cochrane Library and Medline databases. Relevant English-language studies published up to 18 September 2023 were reviewed, and meta-analysis was conducted using Stata 14.0 software. Quality assessment of included literature was performed using the methodological index for non-randomized studies (MINORS), and publication bias was assessed using Egger's test. RESULTS: Thirteen studies encompassing a total sample size of 33 839 cases were included, with 3082 cases of delirium incidents. The findings revealed a 15% prevalence rate of delirium in emergency departments, with a 95% confidence interval (CI) of (0.10, 0.20) and an overall heterogeneity of 98.37% (p = .000). Among emergency department patients over 65 years of age, the prevalence of delirium was 12%, with a 95% CI of (0.07, 0.19) and a heterogeneity of 94.59%. For patients over 18 years of age, the prevalence was 17%, with a 95% CI of (0.10, 0.25) and a heterogeneity of 98.94%. CONCLUSIONS: This meta-analysis reveals an overall 15% prevalence rate of delirium among patients in emergency departments. RELEVANCE TO CLINICAL PRACTICE: In clinical practice, emergency medical staff should strengthen the screening and management of emergency delirium patients.

Schooling Fish from a New, Multimodal Sensory Perspective.

The acoustic hypothesis suggests that schooling can result in several benefits. (1) The acoustic pattern (AP) (pressure waves and other water movements) produced by swimming are likely to serve as signals within fish shoals, communicating useful spatial and temporal information between school members, enabling synchronized locomotion and influencing join, stay or leave decisions and shoal assortment. (2) Schooling is likely to reduce the masking of environmental signals, e.g., by auditory grouping, and fish may achieve windows of silence by simultaneously stopping their movements. (3) A solitary swimming fish produces an uncomplicated AP that will give a nearby predator's lateral line organ (LLO) excellent information, but, if extra fish join, they will produce increasingly complex and indecipherable APs. (4) Fishes swimming close to one another will also blur the electrosensory system (ESS) of predators. Since predators use multimodal information, and since information from the LLO and the ESS is more important than vision in many situations, schooling fish may acquire increased survival by confusing these sensory systems. The combined effects of such predator confusion and other acoustical benefits may contribute to why schooling became an adaptive success. A model encompassing the complex effects of synchronized group locomotion on LLO and ESS perception might increase the understanding of schooling behavior.

A Case of Confusion in an Obese Patient Treated With Daptomycin: Neurotoxicity.

Daptomycin (DAP) is a cyclic lipopeptide antibiotic with bactericidal activity against gram-positive bacteria. The most common adverse reaction is myotoxicity characterized by rhabdomyolysis. Other reported adverse reactions include gastrointestinal symptoms, skin lesions, bleeding, and pulmonary involvement. Neurotoxicity is rare and its mechanism remains partially elucidated. We report a case of confusion consistent with DAP-induced neurotoxicity. A 73-year-old obese man was treated with DAP 9 mg/kg for methicillin-resistant Staphylococcus aureus (MRSA) bacteremia associated with foot osteitis and cervical posterior inter-apophyseal arthritis. On the fifth day of treatment, he developed spatial disorientation, and serum DAP concentrations were very high. DAP-induced neurotoxicity was suggested. His neurological status returned to normal after treatment was stopped. This observation describes a relationship between confusion and DAP that is favored by obesity. Clinicians should be alert for neurologic disorders associated with DAP. It is prudent to reduce doses in obese patients.

Factors influencing patient-provider communication about subjective cognitive decline in people with COPD: Insights from a national survey.

Objective: While there is a growing body of evidence indicating a relationship between COPD and cognitive impairment, there is a gap in evidence regarding discussions of cognitive symptoms in healthcare settings. This study investigated the extent to which individuals with Chronic Obstructive Pulmonary Disease (COPD) and Subjective Cognitive Decline (SCD) self-reported confusion or memory loss with healthcare professionals. Methods: A secondary analysis of 2019 BRFSS data of US adults aged 45+ with COPD (N = 107,204), using logistic regression to explore associations between socio-demographic and health-related indicators with discussion of cognitive symptoms with healthcare professionals. Results: Less than half (45.88%) of individuals reporting SCD discussed their cognitive symptoms with their healthcare provider. In the adjusted model, unemployed (AOR = 2.92, 95% CI: 1.70-5.02, p < .005), retired (AOR = 3.16, 95% CI: 1.37-7.30, p < .01), and current smokers (AOR = 1.73, 95% CI: 1.02-2.93, p < .05) were more likely to discuss cognitive decline with a healthcare professional than their counterparts. In contrast, males (AOR = 0.53, 95% CI: 0.32-0.86, p < .05) and binge drinkers (AOR = 0.49, 95% CI: 0.30-0.79, p < .01) were significantly less likely to do so when compared to their counterparts. Discussion: The study highlighted significant disparities in the likelihood of individuals with COPD discussing cognitive symptoms based on socio-demographic and health risk behaviors. Conclusion: Addressing gender disparities, occupational status, and personal health risks is crucial for improving patient-provider communication about SCD among adults with COPD.

Advancing medical imaging: detecting polypharmacy and adverse drug effects with Graph Convolutional Networks (GCN).

Polypharmacy involves an individual using many medications at the same time and is a frequent healthcare technique used to treat complex medical disorders. Nevertheless, it also presents substantial risks of negative medication responses and interactions. Identifying and addressing adverse effects caused by polypharmacy is crucial to ensure patient safety and improve healthcare results. This paper introduces a new method using Graph Convolutional Networks (GCN) to identify polypharmacy side effects. Our strategy involves developing a medicine interaction graph in which edges signify drug-drug intuitive predicated on pharmacological properties and hubs symbolize drugs. GCN is a well-suited profound learning procedure for graph-based representations of social information. It can be used to anticipate the probability of medicate unfavorable impacts and to memorize important representations of sedate intuitive. Tests were conducted on a huge dataset of patients' pharmaceutical records commented on with watched medicate unfavorable impacts in arrange to approve our strategy. Execution of the GCN show, which was prepared on a subset of this dataset, was evaluated through a disarray framework. The perplexity network shows the precision with which the show categories occasions. Our discoveries demonstrate empowering advance within the recognizable proof of antagonistic responses related with polypharmaceuticals. For cardiovascular system target drugs, GCN technique achieved an accuracy of 94.12%, precision of 86.56%, F1-Score of 88.56%, AUC of 89.74% and recall of 87.92%. For respiratory system target drugs, GCN technique achieved an accuracy of 93.38%, precision of 85.64%, F1-Score of 89.79%, AUC of 91.85% and recall of 86.35%. And for nervous system target drugs, GCN technique achieved an accuracy of 95.27%, precision of 88.36%, F1-Score of 86.49%, AUC of 88.83% and recall of 84.73%. This research provides a significant contribution to pharmacovigilance by proposing a data-driven method to detect and reduce polypharmacy side effects, thereby increasing patient safety and healthcare decision-making.

Do inexperienced nurses in the lactation period experience workplace violence? A qualitative study.

Introduction: Among clinical healthcare personnel, nurses face the highest proportion of workplace violence, which has a significant impact on their physical and mental well-being as well as their personal and professional lives. However, little is known about the effects of workplace violence on inexperienced breastfeeding nurses and their experiences during and after breastfeeding when they return to work. This study aimed to explore the experiences of inexperienced breastfeeding nurses who encountered workplace violence and its resulting impacts. Methods: This study employed a descriptive qualitative design. Semi-structured in-depth interviews were conducted with 20 nurses working in various positions and departments at three tertiary hospitals. Purposive and maximum variation sampling techniques were employed. The interview data were analyzed using Colaizzi's method, and the research findings were reported according to Consolidated Criteria for Reporting Qualitative Studies (COREQ)standards. Results: Inferences regarding workplace violence and risks for inexperienced breastfeeding nurses included physical labor (such as lifting heavy objects and performing cardiopulmonary resuscitation), conflicts, inadequate job skills, role confusion, occupational exposure risks, patient violence, and pressure from older adults. An inductive thematic investigation revealed the "Challenges faced during breastfeeding," "Conflicting professional and family roles," "Out of balance," and "Coping strategies." Conclusion: Inexperienced breastfeeding nurses experience several negative consequences due to workplace violence. Therefore, it is essential to plan and implement preventive strategies and management programs that specifically target workplace violence among inexperienced breastfeeding nurses.

The role of feared possible selves in the relationship between inferential confusion and obsessive-compulsive symptoms: A replication and extension in a clinical sample.

OBJECTIVES: The feared possible self refers to an imagined version of self that one is afraid of being or becoming. Previous evidence has shown that dysfunctional reasoning (i.e., inferential confusion) is associated with obsessive-compulsive disorder (OCD) symptoms, which is partially mediated by a feared self. However, the evidence is reliant on non-clinical samples and a general measure of the feared self. METHODS: Using a cross-sectional design, the current study attempted to replicate and extend this literature in a sample clinically diagnosed with OCD (n = 350) to assess the pathway from inferential confusion to OCD symptoms when feared self is accounted for as a mediator, particularly the individual dimensions of feared self (i.e., corrupted, culpable, and malformed feared selves). Participants completed a structured clinical interview for DSM-5, as well as measures of inferential confusion (Dysfunctional Reasoning Processes Task), obsessive beliefs, feared self, OCD symptoms, and psychological distress. RESULTS: Inferential confusion directly, and indirectly through the feared corrupted self, affected OCD symptoms, even after adjusting for obsessive beliefs, psychological distress, and comorbidity. However, the feared culpable and malformed selves did not play a role in this pathway. CONCLUSIONS: The study underscores that the feared corrupted self links inferential confusion to OCD symptoms, translating to the need to consider both dysfunctional reasoning processes and this specific feared self in clinical settings when treating OCD. Furthermore, the study provides more support for the inference-based approach (IBA) to OCD.

Managing Delirium in the Emergency Department: An Updated Narrative Review.

Purpose of Review: Emergency departments (EDs) are facing an epidemic of overcrowding and ED boarding, particularly of older adults who often present with, or develop, delirium in the ED. Delirium is associated with increased complications, longer hospital length of stay, mortality, and costs to the healthcare system. However, we only have limited knowledge of how to successfully prevent and treat delirium in the ED in a pragmatic, sustainable, and cost-effective way. We present a narrative review of recent literature of delirium prevention and treatment programs in the ED. We aim to describe the components of successful delirium management strategies to be used by EDs in building delirium management programs. Recent Findings: We reviewed 10 studies (2005-2023) that report delirium interventions in the ED, and describe the different components of these interventions that have been studied. These interventions included: optimizing hemodynamics and oxygenation, treating pain, hydration and nutrition support, avoiding sedative hypnotics, antipsychotics and anticholinergics, promoting sleep, sensory stimulation, limiting the time spent in the ED, educating providers and staff, and developing multidisciplinary delirium protocols integrated into the electronic health record. Summary: Through our narrative review of the recent literature on delirium prevention and treatment programs in the ED, we have identified nine components of successful delirium prevention strategies in the ED. We also discuss three high priority areas for further research including identification of most effective components of delirium prevention strategies, conduct of additional high-quality trials in non-hip.

Are We Talking About the Same Thing? Black/African Americans' Response to the BRFSS Cognitive Decline and Caregiver Modules.

The Behavioral Risk Factor Surveillance System (BRFSS) is a randomized national U.S. telephone survey administered by state health departments. This study aimed to identify how Black/African Americans understand BRFSS caregiver and cognitive decline surveys and terminology to inform health messaging that centers the Black/African American experience. In focus groups, BRFSS surveys were administered to Black/African Americans (n = 30) aged ≥ 45 in Oregon. Participants were asked how they interpreted BRFSS terms 'memory loss' and 'confusion,' how these terms related to Alzheimer's and dementia, and about caregiving and cognitive decline experiences. The culturally responsive Africana Worldview guided interpretation, which centers the Black/African American experience and individuals within interdependent relationships and community identity when explaining behaviors of people from the African diaspora. BRFSS survey responses differed from focus group responses to the same questions. Two participants reported providing care in the past two years on the survey; in discussions, 21 participants reported providing care in the past two years. Interpretations of BRFSS terminology varied greatly. Differences between age-related cognitive changes, dementia and Alzheimer's disease were unclear. Cognitive decline was largely understood in terms of identity loss and relationship changes with the affected individual, and how that individual's relationship changed within community. Caution is advised when using BRFSS data to frame messaging because key cognitive health terms are not universally understood. Messaging that apply the Africana Worldview centralizes relationships and community rather than impact on individual's day-to-day activities, may be more effective for Black/African Americans and for other groups with different cultural and life experiences.

A mixed-methods exploration of the nursing associate role, programme experiences and future career pathways.

This article reports on a small mixed-methods research project undertaken with trainee nursing associates (TNAs) in the south of England. AIM: The aim was to gain insight into the motivation behind undertaking the nursing associate (NA) programme, how the NA role is perceived by service users and the wider healthcare team, and the future career pathways of NAs. METHODS: Online questionnaires (n=14) and online focus groups (n=6). FINDINGS: The results suggested undertaking the NA programme increased the TNAs' confidence and ability to use evidence to support their practice; that the role of the NA is not well understood. Some TNAs perceived the NA role as a distinct professional role, whereas others saw it as a way into registered nurse training. CONCLUSION: Role confusion still exists. Research is needed to capture how professional identities in new health and social care professional groups become established.

Utilising a Clinical Metabolomics LC-MS Study to Determine the Integrity of Biological Samples for Statistical Modelling after Long Term -80 °C Storage: A TOFI_Asia Sub-Study.

Biological samples of lipids and metabolites degrade after extensive years in -80 °C storage. We aimed to determine if associated multivariate models are also impacted. Prior TOFI_Asia metabolomics studies from our laboratory established multivariate models of metabolic risks associated with ethnic diversity. Therefore, to compare multivariate modelling degradation after years of -80 °C storage, we selected a subset of aged (≥5-years) plasma samples from the TOFI_Asia study to re-analyze via untargeted LC-MS metabolomics. Samples from European Caucasian (n = 28) and Asian Chinese (n = 28) participants were evaluated for ethnic discrimination by partial least squares discriminative analysis (PLS-DA) of lipids and polar metabolites. Both showed a strong discernment between participants ethnicity by features, before (Initial) and after (Aged) 5-years of -80 °C storage. With receiver operator characteristic curves, sparse PLS-DA derived confusion matrix and prediction error rates, a considerable reduction in model integrity was apparent with the Aged polar metabolite model relative to Initial modelling. Ethnicity modelling with lipids maintained predictive integrity in Aged plasma samples, while equivalent polar metabolite models reduced in integrity. Our results indicate that researchers re-evaluating samples for multivariate modelling should consider time at -80 °C when producing predictive metrics from polar metabolites, more so than lipids.

Dexmedetomidine in Palliative Care: A Versatile New Weapon Against Delirium and Pain-Systematic Review.

Introduction: At the end of life, the prevalence of delirium and pain is high. Current therapy is not satisfactory. Dexmedetomidine could be useful in the control of delirium and pain but is not approved outside of intensive care setting. Our objectives are to evaluate existing evidence in the literature that assessed the efficacy of dexmedetomidine in pain and delirium control and its safety in palliative care patients outside intensive care units. This systematic review was prospectively registered with PROSPERO and included a risk of bias assessment. Methods: PubMed and SCOPUS were examined for literature published until 2023. Experimental, cohort, cross-sectional, case-control studies, and case series/reports were included if they evaluate the use of dexmedetomidine in delirium and/or pain management in hospitalized palliative care adult patients. Studies were excluded if they were carried out in intensive care units. Results: Of the initial 529 records, 14 were included. Although only two studies were randomized trials, most were small and only one had low risk of bias. In most case reports and in the two retrospective cohort studies, dexmedetomidine appears to be a better option for these symptoms, although differences were not significant in the randomized trials. Discussion: Dexmedetomidine seems to be a promising option for refractory pain and delirium and may contribute to a reduction in opioid administration to control pain. This is the first systematic review of dexmedetomidine in palliative care. Quality evidence is limited, but clinical properties of dexmedetomidine justify the conduction of controlled trials in palliative care.

A case of spinal epidural abscess concealed by delirium in a young man.

Spinal epidural abscess is a rare but serious condition with poor outcomes. It's classic triad of new back pain, neurological deficit and fever is only present in 15% of cases at presentation and is initially misdiagnosed in 75-89%.6,7 Delaying treatment is associated with worse outcomes. Delirium is itself a risk factor for mortality but the disturbance in cognition and memory can also complicate clinical assessment.1-5 We present a case of delirium caused by, and obscuring, a spinal epidural abscess. This case highlights the difficulties in diagnosing spinal epidural abscesses, the need for a high index of suspicion for the condition and timely action to minimise morbidity. In addition, it demonstrates the value of treating unexplained delirium as an emergency and the danger of diagnostic premature closure. Finally, the importance of persistent clinical examination of the confused and non-cooperative patient.

An Abnormal Presentation of Rocky Mountain Spotted Fever: A Case Report.

The intracellular coccobacilli Rickettsia rickettsii causes Rocky Mountain Spotted Fever, a potentially fatal illness. This bacterium is transmitted to humans through a tick vector. Patients classically present with a triad of symptoms, including fever, headache, and a rash that begins on the extremities and spreads proximally to the trunk. Diagnosis of this disease can prove difficult when patients have unusual symptoms, such as hypertensive crisis. In this case report, we present a 29-year-old male who arrived at the emergency room with altered mental status and a hypertensive crisis after his family reported one week of changes in his behavior. The patient had no evidence of ticks, tick bites, fever, or rash. Positive findings in the emergency room included a WBC of 14.9 × 109. All other physical exams, imaging, and laboratory findings were non-contributory. The patient was promptly given IV hydralazine to control his blood pressure and empiric IV ceftriaxone for potential infection, and he was admitted for observation. Over the course of three days, WBC levels decreased, and his altered mental status improved. On day 3, the patient remembered a tick crawling across his hand, and this prompted the ordering of immunoglobulin levels for tick-borne illnesses. IgM for RMSF was positive. This case presentation illustrates the need for clinicians to keep the potential diagnosis of RMSF high on the differential, even in the presence of a paucity of symptoms, as prompt treatment with doxycycline can be lifesaving. This case may also be one of the first reported in the literature of hypertension being a symptom of Rocky Mountain Spotted Fever. It is plausible, however, that this patient's hypertension was due to an acute stress response.

An online delirium detection tool: Cross-cultural adaptation of a Chinese version of the Family Confusion Assessment Method.

BACKGROUND: Intensive care unit (ICU) delirium is a common complication in older critically ill patients that has a significant impact. The Family Confusion Assessment Method (FAM-CAM) is a vital tool for assisting family members in identifying delirium; however, no study has yet been reported on the Chinese version of the scale. OBJECTIVES: The objective of this study was to translate the FAM-CAM into a Chinese version and to verify its effectiveness for delirium detection in an online patient visit setting. METHODS: This was a cross-sectional study. The FAM-CAM was translated to Chinese according to the International Society for Pharmacoeconomics and Outcomes Research guidelines. Patients and family members were recruited to participate in delirium assessments in three ICUs of one hospital. Family members then used the Chinese version of the FAM-CAM to assess for delirium via online visitation, and ICU nurses assessed patients for delirium using the Intensive Care Delirium Screening Checklist (ICDSC). Results were then compared between family members' and nurses' assessments. RESULTS: Overall, 190 critically ill patients and 190 family members were included, of whom 117 (61.6%) were assessed for delirium using the Intensive Care Delirium Screening Checklist. The Cohen's kappa coefficient between the Intensive Care Delirium Screening Checklist and FAM-CAM was 0.759 (P < 0.01). The sensitivity of the Chinese version of the FAM-CAM was 0.880, specificity was 0.890, positive predictive value was 0.928, negative predictive value was 0.823, and area under the receiver operating characteristic curve was 0.881 (95% confidence interval: 0.872-0.935, P < 0.01). CONCLUSION: The Chinese version of the FAM-CAM was shown to effectively help families detect delirium and was suggested as a crucial tool for assisting ICU nurses in the early identification of delirium. This tool may effectively be used to assess delirium during online visits.

Metalla-Carbaporphyrinoids Consisting of an Acyclic N-Confused Tetrapyrrole Analogue Served as Stable Near-Infrared-II Dyes.

We present herein the synthesis of novel pseudo-metalla-carbaporphyrinoid species (1M: M=Pd and Pt) achieved through the inner coordination of palladium(II) and platinum(II) with an acyclic N-confused tetrapyrrin analogue. Despite their tetrapyrrole frameworks being small, akin to well-known porphyrins, these species exhibit an unusually narrow HOMO-LUMO gap, resulting in an unprecedentedly low-energy absorption in the second near-infrared (NIR-II) region. Density functional theory (DFT) calculations revealed unique dπ-pπ-conjugated electronic structures involving the metal dπ-ligand pπ hybridized molecular orbitals of 1M. Magnetic circular dichroism (MCD) spectroscopy confirmed distinct electronic structures. Remarkably, the complexes feature an open-metal coordination site in the peripheral NN dipyrrin site, forming hetero-metal complexes (1Pd-BF2 and 1Pt-BF2) through boron difluoride complexation. The resulting hetero metalla-carbaporphyrinoid species displayed further redshifted NIR-II absorption, highly efficient photothermal conversion efficiencies (η; 62-65 %), and exceptional photostability. Despite the challenges associated with the theoretical and experimental assessment of dπ-pπ-conjugated metalla-aromaticity in relatively larger (more than 18π electrons) polycyclic ring systems, these organometallic planar tetrapyrrole systems could serve as potential molecular platforms for aromaticity-relevant NIR-II dyes.

Breast Cancer Prediction Based on Multiple Machine Learning Algorithms.

INTRODUCTION: The incidence of breast cancer has steadily risen over the years owing to changes in lifestyle and environment. Presently, breast cancer is one of the primary causes of cancer-related deaths among women, making it a crucial global public health concern. Thus, the creation of an automated diagnostic system for breast cancer bears great importance in the medical community. OBJECTIVES: This study analyses the Wisconsin breast cancer dataset and develops a machine learning algorithm for accurately classifying breast cancer as benign or malignant. METHODS: Our research is a retrospective study, and the main purpose is to develop a high-precision classification algorithm for benign and malignant breast cancer. To achieve this, we first preprocessed the dataset using standard techniques such as feature scaling and handling missing values. We assessed the normality of the data distribution initially, after which we opted for Spearman correlation analysis to examine the relationship between the feature subset data and the labeled data, considering the normality test results. We subsequently employed the Wilcoxon rank sum test to investigate the dissimilarities in distribution among various breast cancer feature data. We constructed the feature subset based on statistical results and trained 7 machine learning algorithms, specifically the decision tree, stochastic gradient descent algorithm, random forest algorithm, support vector machine algorithm, logistics algorithm, and AdaBoost algorithm. RESULTS: The results of the evaluation indicated that the AdaBoost-Logistic algorithm achieved an accuracy of 99.12%, outperforming the other 6 algorithms and previous techniques. CONCLUSION: The constructed AdaBoost-Logistic algorithm exhibits significant precision with the Wisconsin breast cancer dataset, achieving commendable classification performance for both benign and malignant breast cancer cases.

Age-stratified comorbid and pharmacologic analysis of patients with glioblastoma.

Background: Increased age is a strong and unfavorable prognostic factor for patients with glioblastoma (GBM). However, the relationships between stratified patient age, comorbidities, and medications have yet to be explored in GBM patient survival analyses. Objective: To evaluate co-morbid conditions, tumor-related symptoms, medication prescriptions, and subject age for patients with GBM and to establish potential targets for prospective studies. Methods: Electronic health records for 565 patients with IDHwt GBM were evaluated at a single center between January 1, 2000 and August 9, 2021 were retrospectively assessed. Data were stratified by MGMT promoter methylation status when available and were used to construct multivariable time-dependent cox models and intra-cohort hazards. Results: Younger (<65 years of age) but not older (≥65 years) GBM patients demonstrated a worse prognosis with movement related disabilities (P < 0.0001), gait/balance difficulty (P = 0.04) and weakness (P = 0.007), as well as psychiatric conditions, mental health disorders (P = 0.002) and anxiety (P = 0.001). In contrast, older but not younger GBM patients demonstrated a worse prognosis with epilepsy (P = 0.039). Both groups had worse survival with confusion/altered mental status (P = 0.023 vs < 0.000) and an improved survival with a Temozolomide prescription. Older but not younger GBM patients experienced an improved hazard with a prescription of ace-inhibitor medications (P = 0.048). Conclusion: Age-dependent novel associations between clinical symptoms and medications prescribed for co-morbid conditions were demonstrated in patients with GBM. The results of the current work support future mechanistic studies that investigate the negative relationship(s) between increased age, comorbidities, and drug therapies for differential clinical decision-making across the lifespan of patients with GBM.

Pharmacological Treatment for Terminal Agitation, Delirium and Anxiety in Frail Older Patients.

CONTEXT: Psychological distress symptoms in the last days of life often contribute to the overall symptom burden in frail older patients. Good symptom management practices are crucial to ensure high-quality end-of-life care in an aging population, though the best pharmacological approach to treat these psychological symptoms has yet to be established. OBJECTIVES: To identify current evidence-based and practice-based knowledge of pharmacological interventions for the treatment of agitation, delirium, and anxiety during the last days of life in frail older patients. METHODS: A systematic, mixed methods review was performed through MEDLINE via PubMed and EMBASE from inception until February 2022 and updated through March 2023. National and international guideline databases and grey literature were searched for additional studies and guidelines. RESULTS: Four quantitative studies, two non-randomized and two descriptive, were identified. No randomized controlled trials met inclusion criteria. No qualitative studies were withheld. The three consensus-based protocols that were found through citation searching and screening of grey literature did not meet the standards for inclusion. Haloperidol is recommended in consensus-based guidelines for delirium and is widely used, but high-quality evidence about its efficacy is missing. Better control of agitation or refractory delirium might be achieved with the addition of a benzodiazepine. There is no evidence available about the treatment of anxiety in the last days of life in frail older patients. CONCLUSIONS: This mixed methods review demonstrates the lack of good quality evidence that is needed to help clinicians with pharmacological treatment decisions when confronted with psychological symptoms in the last days of life in frail older patients. Population aging will only emphasize the need for further research in this specific population.