Neuropsychiatric symptoms and lifelong mental activities in cerebral amyloid angiopathy - a cross-sectional study.

Background: While several studies in cerebral amyloid angiopathy (CAA) focus on cognitive function, data on neuropsychiatric symptoms (NPS) and lifelong mental activities in these patients are scarce. Since NPS are associated with functional impairment, faster cognitive decline and faster progression to death, replication studies in more diverse settings and samples are warranted.

Methods: We prospectively recruited n = 69 CAA patients and n = 18 cognitively normal controls (NC).

Psychiatric Diagnoses and Their Treatment in Women With Breast Cancer: A Latent Class Analysis of 1062 Inpatients.

Introduction: Psycho-oncological support (POS) and psychopharmacological interventions are effective in treating psychiatric symptoms in patients with breast cancer. However, despite high prevalences of psychiatric disorders in patients with breast cancer, a significant proportion remains untreated.

Methods: Data from 1062 breast cancer patients who had been diagnosed and treated at a Comprehensive Cancer Center between 2012 and 2019 were analyzed retrospectively.

Inferior Frontal Sulcal Hyperintensities on Brain MRI Are Associated with Amyloid Positivity beyond Age-Results from the Multicentre Observational DELCODE Study.

Inferior frontal sulcal hyperintensities (IFSHs) on fluid-attenuated inversion recovery (FLAIR) sequences have been proposed to be indicative of glymphatic dysfunction. Replication studies in large and diverse samples are nonetheless needed to confirm them as an imaging biomarker. We investigated whether IFSHs were tied to Alzheimer's disease (AD) pathology and cognitive performance.

Proof of concept: Predicting distress in cancer patients using back propagation neural network (BPNN).

Background: Research findings suggest that a significant proportion of individuals diagnosed with cancer, ranging from 25% to 60%, experience distress and require access to psycho-oncological services. Until now, only contemporary approaches, such as logistic regression, have been used to determine predictors of distress in oncological patients. To improve individual prediction accuracy, novel approaches are required.

A short screening tool identifying systemic barriers to distress screening in cancer care.

Introduction: International guidelines on cancer treatment recommend screening for early detection and treatment of distress. However, screening rates are insufficient. In the present study, a survey was developed to assess perceived systemic barriers to distress screening.

Early Impact of the COVID-19 Pandemic on Psycho-Oncological Support: A Latent Class Analysis.

Introduction: Research suggests a global shortfall of psycho-oncological assessment and care during the COVID-19 pandemic in addition to delayed diagnosis of cancer. The present study is the first to explore the effect of the pandemic on the provision of psycho-oncological care, stage of cancer at first diagnosis, and duration of hospitalizations.

Method: Retrospective latent class analysis of 4,639 electronic patient files with all types, treatment types, and stages of cancer, 370 of which were treated during the pandemic prior to availability of vaccinations.

Steriod-associated psychiatric burden in cancer patients.

This study explores the role of steroid administration in identifying distressed or even mentally disordered cancer patients (so-called case finding). Charts of 12 298 cancer patients (4499 treated with prednisone equivalents) were analysed descriptively. A subset of 10 945 was further explored via latent class analysis (LCA).

Reading Wishes from the Lips: Cancer Patients' Need for Psycho-Oncological Support during Inpatient and Outpatient Treatment.

Background: Psycho-oncological support (PO) is an effective measure to reduce distress and improve the quality of life in patients with cancer. Currently, there are only a few studies investigating the (expressed) wish for PO. The aim of this study was to evaluate the number of patients who request PO and to identify predictors for the wish for PO.

Clinically Significant Distress and Physical Problems Detected on a Distress Thermometer are Associated With Survival Among Lung Cancer Patients.

Background: The distress thermometer is a well-established screening tool to detect clinically significant distress in cancer patients. It is often administered in combination with the problem list, differentiating further between various (e.g.

Towards identifying cancer patients at risk to miss out on psycho-oncological treatment via machine learning.

Objective: In routine oncological treatment settings, psychological distress, including mental disorders, is overlooked in 30% to 50% of patients. High workload and a constant need to optimise time and costs require a quick and easy method to identify patients likely to miss out on psychological support.

Methods: Using machine learning, factors associated with no consultation with a clinical psychologist or psychiatrist were identified between 2011 and 2019 in 7,318 oncological patients in a large cancer treatment centre.

Distinct psycho-oncological support inclinations and needs in patients with cancer: A large sample latent class analysis approach.

Background: In patients with cancer, the routine recording of distress symptoms has been widely established in recent years. Psycho-oncological support has proven to reduce distress and increase quality of life. Despite high levels of distress as well as physical and emotional challenges in patients with cancer, a significant proportion forgoes psycho-oncological services.

Uncovering Barriers to Screening for Distress in Patients With Cancer via Machine Learning.

Background: Psychologic distress and manifest mental disorders are overlooked in 30-50% of patients with cancer. Accordingly, international cancer treatment guidelines recommend routine screening for distress in order to provide psychologic support to those in need. Yet, institutional and patient-related factors continue to hinder implementation.

Mental disorders, length of hospitalization, and psychopharmacy-New approaches to identify barriers to psychological support for patients with cancer.

Background: Despite abundant evidence that emotional distress is frequent in cancer patients and associated with adverse health outcomes, distress screening rates and adequate referrals to psychological support programs among those in need are insufficient in many cancer centers. We therefore aimed to analyze patient- and treatment-related barriers to distress screening and referrals to psychological support as a mandatory component of best-practice cancer care.

Method: In the present explorative study, latent class analysis was used to identify homogeneous subgroups among 4837 patients diagnosed with cancer between 2011 and 2019.