Objective: To evaluate the effect of a newly acquired spinal cord injury (SCI) by identifying profiles of psychological adaptation outcomes at discharge from inpatient rehabilitation, using several outcome measures in parallel and to examine biopsychosocial factors associated with profile membership.
Design: Cross-sectional analysis of data from the Swiss Spinal Cord Injury inception cohort study.
Setting: Inpatient rehabilitation.
Participants: Individuals 16 years old or older with recently diagnosed SCI who finished clinical rehabilitation in 1 of the 4 major national rehabilitation centers (N=370).
Interventions: Not applicable.
Main Outcome Measures: Life satisfaction, general distress, and symptoms of depression and anxiety were assessed using a single item from the International SCI Quality of Life Basic Data Set, the Distress Thermometer, and the Hospital Anxiety and Depression Scale respectively.
Results: Using latent profile analysis, 4 profiles of psychological adaptation outcomes were identified displaying different levels of impact, ranging from Minimal to Severe. Regarding covariates associated with profile membership, higher optimism, purpose in life, and self-efficacy indicated a higher probability of having a Minimal impact profile. Additionally, males, individuals with better functional independence, and those with an absence of pain were more likely to show a Minimal impact profile.
Conclusions: Among the participants, 70% showed Minimal or Low impact profiles. Our findings support that individuals can show positive responses across several outcome measures even at an early time after the injury onset (eg, at discharge from inpatient rehabilitation). Moreover, our results indicate that beyond functional independence, improvement, and pain management, a rehabilitation process that strengthens psychological resources might contribute to better adaptation outcomes.
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http://dx.doi.org/10.1016/j.apmr.2019.08.481 | DOI Listing |
Disabil Rehabil
January 2025
Postgraduate Program in Rehabilitation Sciences, Universidade Nove de Julho (UNINOVE), São Paulo, SP, Brazil.
Purpose: 1) To identify outcome measures used in support programs designed to enhance functioning in autistic children and adolescents, and 2) To map the content of these measures to the domains of the International Classification of Functioning, Disability and Health (ICF).
Methods: A systematic review was conducted. Searches were performed in Medline/PubMed, EMBASE and Virtual Health Library databases, with no restrictions imposed regarding language or year of publication.
Clin Transl Sci
January 2025
Global Biometrics and Data Management, Pfizer Research and Development, New York, New York, USA.
The pharmaceutical industry constantly strives to improve drug development processes to reduce costs, increase efficiencies, and enhance therapeutic outcomes for patients. Model-Informed Drug Development (MIDD) uses mathematical models to simulate intricate processes involved in drug absorption, distribution, metabolism, and excretion, as well as pharmacokinetics and pharmacodynamics. Artificial intelligence (AI), encompassing techniques such as machine learning, deep learning, and Generative AI, offers powerful tools and algorithms to efficiently identify meaningful patterns, correlations, and drug-target interactions from big data, enabling more accurate predictions and novel hypothesis generation.
View Article and Find Full Text PDFClin Trials
January 2025
Department of Medical Social Sciences, Feinberg School of Medicine, Northwestern University, Chicago, IL, USA.
Background: Implementation and hybrid effectiveness-implementation trials aspire to speed the translation of science into practice by generating crucial evidence for improving the uptake of effective health interventions. By design, they pose unique recruitment and retention challenges due to their aims, units of analysis, and sampling plans, which typically require many clinical sites (i.e.
View Article and Find Full Text PDFJ Clin Med
December 2024
Department of Endocrinology, Diabetes and Metabolic Diseases, Clinical Hospital Centre Rijeka, 51000 Rijeka, Croatia.
Autoimmune thyroid disease (AITD) is the leading cause of thyroid dysfunction globally, characterized primarily by two distinct clinical manifestations: Hashimoto's thyroiditis (HT) and Graves' disease (GD). The prevalence of AITD is approximately twice as high in women compared to men, with a particularly pronounced risk during the reproductive years. Pregnancy exerts profound effects on thyroid physiology and immune regulation due to hormonal fluctuations and immune adaptations aimed at fostering maternal-fetal tolerance, potentially triggering or exacerbating AITD.
View Article and Find Full Text PDFJ Clin Med
December 2024
Department of Adult Critical Care, Guy's and St Thomas' NHS Foundation Trust, King's Health Partners, London SE1 9RT, UK.
Extracorporeal carbon dioxide removal (ECCOR) is an emerging technique designed to reduce carbon dioxide (CO) levels in venous blood while enabling lung-protective ventilation or alleviating the work of breathing. Unlike high-flow extracorporeal membrane oxygenation (ECMO), ECCOR operates at lower blood flows (0.4-1.
View Article and Find Full Text PDFEnter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!