A systematic review of the overlap of fluid biomarkers in delirium and advanced cancer-related syndromes

Pan-Cancer Analysis of PTBP1 to Identify it as a Prognostic and Immunological Biomarker

OBJECTIVES

Human cancer is considered to be an important cause of death worldwide. Polypyrimidine tract binding protein 1 (PTBP1) is emerging as a powerful pro-oncogenic factor in bladder and liver cancer; however, no pan-cancer analysis is presently available. Our study aimed to explore PTBP1 expression profiles, prognostic immunological value, and biological functions across various cancers.

METHODS

We conducted a comprehensive analysis using multi-omics bioinformatics from public databases, including TIMER, GEPIA2, ProteinAtlas, Kaplan-Meier Plotter, PrognoScan, cBioPortal, STRING, ENCORI, TargetScan, and DAVID.

RESULTS

We found that PTBP1 was overexpressed across multiple cancer types. qRT-PCR results demonstrated that the PTBP1 mRNA was significantly up-regulated in lung adenocarcinoma (LUAD), colon cancer (COAD), and melanoma (SKCM) cell lines, as well as in melanoma-forming mouse models. Higher PTBP1 mRNA levels were associated with poorer survival probabilities in several cancer types. PTBP1 genetic alterations were related to amplification and mutation. PTBP1 significantly modulates tumor immunity by enhancing Tregs infiltration and reducing CD8+ T cell activity, promoting immune evasion and adversely affecting cancer prognosis. GO and KEGG pathway analyses implied that PTBP1 may participate in RNA metabolism, the spliceosome, the cell cycle, and the p53 signaling pathway in cancer development.

CONCLUSION

Our study is the first to demonstrate the oncogenic role of PTBP1 in a pan-cancer context. PTBP1 might serve as a new biomarker for prognostic prediction and immune cell infiltration across cancers in the future.

Risk factors for delirium in advanced cancer patients: A systematic review and meta-analysis

PURPOSE

To systematically collect published research in order to identify and quantify risk factors for delirium in advanced cancer patients.

METHODS

The Cochrane Library, PubMed, Proquest, CINAHL, Web of Science, Ovid MEDLINE, Embase, Scopus, Chinese Wanfang Data, Chinese Periodical Full-text Database (VIP), Chinese Biomedical Literature Database (CBM), and Chinese National Knowledge Infrastructure (CNKI) were systematically searched for cohort or case-control studies reporting individual risk factors for delirium among advanced-stage cancer patients published prior to March 2022. The Newcastle-Ottawa Scale was used to assess the methodological quality of included studies. The pooled adjusted odds ratio (aOR) and its 95% confidence interval were calculated using the RevMan 5.4 software package.

RESULTS

A total of 15 studies with data from 3106 advanced cancer patients were included in our analysis. Nine studies were high-quality and six were of moderate quality. Pooled analyses revealed that 11 risk factors were statistically significant. High-intensity risk factors included sleep disturbance, infection, cachexia and the Palliative Prognostic Index; medium-intensity risk factors included male sex, renal failure, dehydration and drowsiness; low-intensity risk factors included age, total bilirubin and opioid use. Antibiotic use was found to have been a protective factor.

CONCLUSIONS

We identified 12 independent risk factors that were significantly associated with delirium in advanced cancer patients and provide an evidence-based foundation to implement appropriate preventive strategies.

Postoperative delirium in older patients with cancer: the role of psychological distress and social support

PURPOSE OF REVIEW

Delirium is a common and important adverse event in the perioperative period. Older people with cancer are at significant risk, and outcomes are poor. There is increasing awareness of the effect of psychological distress and social support on pathogenesis and outcomes of delirium in this setting. This review aimed to describe recent research in this evolving area.

RECENT FINDINGS

Across six recent studies of postoperative delirium in older people with cancer, delirium incidence ranged from 8 to 19.8%. Poor social support and high levels of distress are implicated in the development of postoperative delirium. Distress can be related to negative emotional reaction to diagnosis, preconception of cancer diagnosis and interactions with the healthcare system. Prevention of delirium is key, and multicomponent interventions show evidence of effectiveness. 'Emotional distress' has been included in a new core outcome set for studies of interventions to prevent and/or treat delirium.

SUMMARY

Postoperative delirium in older adults with cancer is common and is associated with increased morbidity and mortality. Psychological distress and social support play an important role, but there are many unmet research needs in this area.

Prevalence of Anti-neural Autoantibodies in a Psychiatric Patient Cohort-Paradigmatic Application of Criteria for Autoimmune-Based Psychiatric Syndromes

BACKGROUND

Anti-neural autoantibodies associated with psychiatric syndromes is an increasing phenomenon in psychiatry. Our investigation aimed to assess the frequency and type of neural autoantibodies associated with distinct psychiatric syndromes in a mixed cohort of psychiatric patients.

METHODS

We recruited 167 patients retrospectively from the Department of Psychiatry and Psychotherapy, University Medical Center Göttingen for this study. Clinical features including the assessment of psychopathology via the Manual for Assessment and Documentation of Psychopathology in Psychiatry (AMDP), neurological examination, cerebrospinal fluid (CSF), magnetic resonance imaging (MRI) and electroencephalography (EEG) analysis were done in patients. Serum and or CSF anti- neural autoantibodies were measured in all patients for differential diagnostic reasons.

RESULTS

We divided patients in three different groups: (1) psychiatric patients with CSF and/or serum autoantibodies [PSYCH-AB+, n = 25 (14.9%)], (2) psychiatric patients with CSF autoantibodies [PSYCH-AB CSF+, n = 13 (7.8%)] and (3) those psychiatric patients without autoantibodies in serum and/or CSF [PSYCH-AB-, n = 131]. The prevalence of serum neural autoantibodies was 14.9% (PSYCH-AB+), whereas 7.2% had CSF autoantibodies (PSYCH-AB CSF+) in our psychiatric cohort. The most prevalent psychiatric diagnoses were neurocognitive disorders (61-67%) and mood disorders (25-36%) in the patients presenting neural autoantibodies (PSYCH-AB+ and PSYCH-AB CSF+). However, psychiatric diagnoses, neurological deficits, and laboratory results from CSF, EEG or MRI did not differ between the three groups. To evaluate the relevance of neural autoantibody findings, we applied recent criteria for possible, probable, or definitive autoimmune based psychiatric syndromes in an paradigmatic patient with delirium and in the PSYCH-AB+ cohort. Applying criteria for any autoimmune-based psychiatric syndromes, we detected a probable autoimmune-based psychiatric syndrome in 13 of 167 patients (7.8%) and a definitive autoimmune-based psychiatric syndrome in 11 of 167 patients (6.6%).

CONCLUSIONS

Neural autoantibodies were detected mainly in patients presenting neurocognitive and mood disorders in our psychiatric cohort. The phenotypical appearance of psychiatric syndromes in conjunction with neural autoantibodies did not differ from those without neural autoantibodies. More research is therefore warranted to optimize biomarker research to help clinicians differentiate patients with potential neural autoantibodies when a rapid clinical response is required as in delirium states.

Delirium researchers' perspectives of the challenges in delirium biomarker research: A qualitative study

Background

Despite the prevalence and impact of delirium, its pathophysiology remains unclear. In order to advance this field of research, robust scientific methodology is required, yet quality of reporting in this field of research has been highly inconsistent. Delirium biomarker research poses several challenges, none of which have been documented in the literature before. The aim of this study was to explore the perspectives of delirium researchers about key methodological issues in delirium biomarker research.

Methods

Following a Delphi study with delirium experts resulting in 60 recommendations for reporting delirium biomarker studies, semi-structured interviews with international delirium researchers were conducted. Interviews were audio-taped and transcribed verbatim, followed by thematic analysis of the qualitative data.

Results

Fifteen participants were interviewed between August and November 2019. Most were male (n = 12; 75%), clinician researchers (n = 13; 86%), and had more than ten years’ experience in conducting delirium research (n = 9; 60%). Analysis revealed two major themes and ten sub-themes, outlining key considerations to advance the field of delirium biomarker research. The major themes were: 1) Practical and scientific challenges of delirium biomarker research: stagnation versus driving improved methods and reporting; and 2) Valuing delirium research through investment and collaboration.

Conclusion

Findings identified a range of factors that contribute to the practical and ethical challenges of conducting delirium biomarker research, which have not previously been explicitly acknowledged or reported. A clear vision for collaborative efforts to enhance research quality for improved impact was also presented by the delirium researchers. This work complements the preceding Delphi and together these studies provide an in-depth understanding of what is needed in the field to inform and improve methods and reporting of delirium biomarker research.

Delirium in older adults

This narrative review provides a broad examination of the most current concepts on the etiopathogenesis, diagnosis, prevention, and treatment of delirium, an acute neuropsychiatric syndrome characterized by fluctuating changes in cognition and consciousness. With the interaction of underlying vulnerability and severity of acute insults, delirium can occur at any age but is particularly frequent in hospitalized older adults. Delirium is also associated with numerous adverse outcomes, including functional impairment, cognitive decline, increased healthcare costs, and death. Its diagnosis is based on clinical and cognitive assessments, preferably following systematized detection instruments, such as the Confusion Assessment Method (CAM). Delirium and its consequences are most effectively fought using multicomponent preventive interventions, like those proposed by the Hospital Elder Life Program (HELP). When prevention fails, delirium management is primarily based on the identification and reversal of precipitating factors and the non-pharmacological control of delirium symptoms. Pharmacological interventions in delirium should be restricted to cases of dangerous agitation or severe psychotic symptoms.

A Systematic Review of Delirium Biomarkers and Their Alignment with the NIA-AA Research Framework

OBJECTIVES

To identify whether delirium biomarkers aligned with the National Institute on Aging-Alzheimer's Association (NIA-AA) research framework, a conceptual model that describes the use of diagnostic biomarkers for Alzheimer's disease and other related dementias (ADRD).

DESIGN

Systematic review following Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines.

SETTING

Acute care and outpatient settings.

PARTICIPANTS

Adults diagnosed with delirium.

METHODS AND MEASUREMENTS

MEDLINE, PsycInfo, Embase, and the Cochrane Library were searched for English-language studies published from January 2010 to February 2020. Studies included adults older than 18 years, identified delirium with a standardized assessment tool, and measured an ADRD biomarker. Independent reviewers determined whether an association between delirium and ADRD biomarker was found, the quality of biomarker data based on the REMARK (REporting recommendations for tumor MARKer prognostic studies) checklist, and the study bias based on the Newcastle-Ottawa Scale.

RESULTS

A total of 61,256 citations were identified; 113 studies were included. Most studies did not examine amyloid, tau, or neurodegeneration biomarkers. Delirium may be associated with neurodegeneration biomarkers, but few to no studies found an association with amyloid and tau biomarkers. Delirium was not consistently associated with inflammatory biomarkers. The quality of biomarker data was moderate, and the risk of bias was moderate to high. Studies often did not collect prehospital and posthospital cognitive data.

CONCLUSION

Most delirium diagnostic biomarker studies did not measure amyloid, tau, and/or neurodegenerative biomarkers, making characterization of the relationship between delirium and ADRD difficult. Future delirium biomarker diagnostic studies could improve the understanding of pathophysiologic links between delirium with other conditions affecting cognition.