Publications by authors named "A Alsaber"
Background: Falls among the older population have attracted global attention, with a specific emphasis on the regional contexts of falls. This study reports the incidence and characteristics of falls in the State of Kuwait, where there is currently no national fall prevention strategy.
Methodology: A prospective, cross-sectional study reported on 420 individuals aged 55 years and above admitted to Alrazi Orthopaedic Hospital in Kuwait City due to falls between March 2022 and February 2023.
Background: The coronavirus disease (COVID-19) pandemic has led to a dramatic increase in online searches related to psychological distress. Governments worldwide have responded with various measures to mitigate the impact of the virus, influencing public behavior and emotional well-being. This study investigated the relationship between government actions and public reactions in terms of online search behaviors, particularly concerning psychological distress during the pandemic.
View Article and Find Full Text PDFBackground: Rheumatoid arthritis (RA) is a common condition treated with biological disease-modifying anti-rheumatic medicines (bDMARDs). However, many patients exhibit resistance, necessitating the use of machine learning models to predict remissions in patients treated with bDMARDs, thereby reducing healthcare costs and minimizing negative effects.
Objective: The study aims to develop machine learning models using data from the Kuwait Registry for Rheumatic Diseases (KRRD) to identify clinical characteristics predictive of remission in RA patients treated with biologics.
Article Synopsis
- In gastrointestinal stromal tumors (GISTs), identifying specific genetic mutations is crucial for predicting treatment responses and disease outcomes.
- In a study of 95 GIST cases from the Kuwait Cancer Center, a significant majority (88%) had mutations, with most occurring in the gene, highlighting the need for targeted treatments.
- Wild-type GISTs (without mutations) appeared to be smaller and less aggressive, but their impact on disease progression was minimal, underscoring the importance of further regional studies to connect genetics with patient outcomes.
Overview: Non-word repetition (NWR) is one of the most effective predictors of language impairments in children as it has been found to correlate with various language measures and the association between NWR and vocabulary is well documented in typically developing (TD) studies. However, there is a dire need for investigations of language skills in Kuwaiti Arabic individuals with Down Syndrome, and this study set out to fill a gap in this field.
Method: In this paper, we compare the vocabulary and NWR skills of a group of 48 individuals with DS aged 6-20 years to a group of 44 TD children aged 3-10 years matched on nonverbal IQ.