Background: Immunoglobulin (IG) therapy is widely used to treat primary and secondary immune deficiencies and as immunomodulatory agent for various disorders. There is great concern that shortages of IG may rise, potentially affecting medical treatment options.

Study Design And Methods: An international survey was developed to study how intravenous immunoglobulins (IVIGs) are used and managed within hospitals in case of shortages. Study data were collected and managed using REDCap electronic data capture tools hosted by the Biomedical Excellence for Safer Transfusion (BEST) Collaborative. The survey was directed to hospital pharmacists and blood bank transfusion professionals and disseminated through members of the BEST Collaborative network.

Results: Survey respondents from institutions in the USA, Canada, Europe, Japan, and Australia (n = 13) confirmed that the primary specialties utilizing IG are neurology, hematology, and immunology. More than 60% of respondents reported IG supply shortages, but mitigation strategies were not well developed.

Discussion: As IG is the leading driver in plasma demand, more studies are needed to understand current and future demand for IG from the clinical perspective. Necessity lies in establishing clinical guidance to address shortages.

Download full-text PDF

Source
http://dx.doi.org/10.1111/trf.17801DOI Listing

Publication Analysis

Top Keywords

best collaborative
12
shortages
5
global analysis
4
analysis immunoglobulin
4
immunoglobulin shortages
4
shortages supply
4
supply mitigating
4
mitigating measures
4
survey
4
measures survey
4

Similar Publications

Management of melanoma in 2024 requires at times complex decision making and a multidisciplinary approach. An article by Dixon and collaborators published in this Journal contained broad-reaching recommendations, some of which are in contradiction of accepted National and International Guidelines. This article seeks to highlight these points of contention and outline widely accepted standards of care that are considered best practice.

View Article and Find Full Text PDF

New Triterpenoids from the Leaves of and Their Anti-Inflammatory Activity.

Molecules

December 2024

Guangxi Key Laboratory of Green Chemical Materials and Safety Technology, College of Petroleum and Chemical Engineering, Beibu Gulf University, Qinzhou 535000, China.

Six new triterpenoids, heritieras C-H (-), along with thirteen known triterpenoids (-), were isolated from the leaves of . Their structures were identified by spectroscopic analysis, including 1D and 2D nuclear magnetic resonance (NMR), high-resolution electrospray ionization mass spectrometry (HRESIMS), and by comparison with the literature. Anti-inflammatory activity of the isolates was evaluated using the lipopolysaccharide (LPS) stimulated RAW 264.

View Article and Find Full Text PDF

Objective: This study aimed to investigate the diagnostic potential of serum CXC chemokine ligand 5 (CXCL5) in patients with chronic atrophic gastritis (CAG) and to establish a prediction model for better diagnosis of CAG.

Methods: A retrospective analysis was conducted, encompassing 570 cases of CAG patients admitted to the Department of Gastroenterology of the Second Affiliated Hospital of Anhui University of Traditional Chinese Medicine, who underwent gastroscopy and received pathologically confirmed diagnoses between June 2018 and June 2023. Additionally, 570 cases without CAG who underwent health checkups were included and classified into the control group.

View Article and Find Full Text PDF

Unlabelled: Effective leadership is essential in neonatal intensive care units (NICUs), where complex, high-stakes environments require coordinated multidisciplinary teamwork. Strong leadership improves clinical outcomes, team performance, and staff well-being. This systematic review assesses various leadership models and interventions in NICUs to identify best practices and areas for future research.

View Article and Find Full Text PDF

The aim of this study was to develop and validate a machine learning-based mortality risk prediction model for patients with severe community-acquired pneumonia (SCAP) in the intensive care unit (ICU). We collected data from two centers as the development and external validation cohorts. Variables were screened using the Recursive Feature Elimination method.

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!