Download full-text PDF

Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC6425065PMC
http://dx.doi.org/10.2174/1874306401812010081DOI Listing

Publication Analysis

Top Keywords

validation clinical
4
clinical instrument
4
instrument measuring
4
measuring severity
4
severity acute
4
acute bronchitis
4
bronchitis children
4
children bss-ped
4
validation
1
instrument
1

Similar Publications

Background: Reduced well-being and depressive episodes frequently complicate pregnancy and can result in serious adverse outcomes for both mother and infant if left untreated. This study aimed to assess the psychometric validity of the 5-item World Health Organization index (WHO-5), and to evaluate if the WHO-5 index can serve as a proxy for two items of core depressive symptoms from the Major Depression Inventory (MDI), identified as MDI-2. Additionally, the paper aimed to assess well-being and detect risk factors of reduced well-being using the WHO-5 index.

View Article and Find Full Text PDF

Background And Objectives: Antibody-negative autoimmune encephalitis (AE) is a form of encephalitis characterized by the absence of detectable autoimmune antibodies, despite immunological evidence. However, data on management of patients with antibody-negative AE in the intensive care unit (ICU) are limited. This study aimed to explore the characteristics and subtypes of antibody-negative AE, assess the effects of immunotherapy, and identify factors independently associated with poor functional outcomes in patients requiring intensive care.

View Article and Find Full Text PDF

Background: The lack of predictive biomarkers contributes notably to the poor outcomes of patients with pancreatic ductal adenocarcinoma (PDAC). Cancer-associated fibroblasts (CAFs) are the key components of the prominent PDAC stroma. Data on clinical relevance of CAFs entering the bloodstream, known as circulating CAFs (cCAFs) are scarce.

View Article and Find Full Text PDF

Background: Despite the adverse health outcomes associated with longer duration diarrhea (LDD), there are currently no clinical decision tools for timely identification and better management of children with increased risk. This study utilizes machine learning (ML) to derive and validate a predictive model for LDD among children presenting with diarrhea to health facilities.

Methods: LDD was defined as a diarrhea episode lasting ≥ 7 days.

View Article and Find Full Text PDF

Mapping the landscape of Hospital at home (HaH) care: a validated taxonomy for HaH care model classification.

BMC Health Serv Res

January 2025

Institute Patient-Centered Digital Health, Bern University of Applied Sciences, Quellgasse 21, Biel, 2502, Switzerland.

Background: Hospital at home (HaH) care models have gained significant attention due to their potential to reduce healthcare costs, improve patient satisfaction, and lower readmission rates. However, the lack of a standardized classification system has hindered systematic evaluation and comparison of these models. Taxonomies serve as classification systems that simplify complexity and enhance understanding within a specific domain.

View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!