The present authors made an attempt to ease the diagnostic work of physicians who have patients with intellectual disability by creating an aetiological classification system based on the time and mechanism of injury to the central nervous system (CNS). The current paper presents the work-up needed for understanding at least the timing of the causative factor/factors. The timing principle opens a direct course to family counselling. This method has been very well accepted during its 18 years of use in Finland, and therefore, it was felt that it would be helpful to organize the relevant ICD-10 diagnoses according to the timing principle. This method has been published as a manual. An image of a tree became the obvious metaphor for this system. The genetic category forms the main root and stem, from which multiple branched roots and limbs emerge. The individual diagnoses appear as root nodules and leaves. The system is flexible, making it possible to add new branches for groups of diagnoses when improved diagnostic methods create these options (e.g. microdeletions). The aetiological diagnoses change accordingly. Over the course of further development, new incidents damaging the CNS may affect the functional level of an individual and require additional diagnoses. It is a constant challenge for physicians to keep the diagnoses of their patients up to date. The image of the tree helps professionals to think in terms of timing, and thus, makes family counselling easier. It is also helpful in the education of medical professionals.
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http://dx.doi.org/10.1046/j.1365-2788.1999.00197.x | DOI Listing |
Sci Diabetes Self Manag Care
January 2025
Division of Endocrinology and Diabetes, Children's Hospital of Philadelphia, Philadelphia, Pennsylvania.
Purpose: The purpose of the study was to identify the most common reasons for and timing of continuous glucose monitoring (CGM) attrition in youth with type 1 diabetes (T1DM).
Methods: This single center retrospective chart review included youth with T1DM <22 years seen between November 1, 2021, and October 31, 2022. Data were gathered from CGM cloud-based software and the electronic medical record.
Alzheimers Dement
December 2024
Neurology, University of Wisconsin-Madison School of Medicine and Public Health, Madison, WI, USA.
Background: Integrating blood biomarker testing for Alzheimer's Disease (AD) into clinical practice has the potential to transform AD care by enabling broadly accessible and accurate diagnosis, more precise prognostication, and timely initiation of disease-modifying therapy. While there are several scientific challenges to implementing blood biomarkers (e.g.
View Article and Find Full Text PDFBMC Complement Med Ther
January 2025
Institute of Basic Research in Clinical Medicine, China Academy of Chinese Medical Sciences, Beijing, 100700, China.
Background: The integration of traditional Chinese medicine (TCM) into emergency health systems in China serves as a model for global policy development and refining the inclusion of traditional medicine in health emergencies.
Methods: This study investigated 13 public health emergency policies related to TCM released by the Chinese central government from 2003-2023. A PMC(Policy Modeling Consistency) index model was developed combining ROSTCM text mining analysis software.
Heredity (Edinb)
January 2025
Department of Biological Sciences, University of South Carolina, Columbia, SC, USA.
Maternal effects have been shown to play influential roles in many evolutionary and ecological processes. However, understanding how environmental stimuli induce within-generation responses that transverse across generations remains elusive, particularly when attempting to segregate confounding effects from offspring genotypes. This review synthesizes literature regarding resource- and predation-driven maternal effects in the model system Daphnia, detailing how the maternal generation responds to the environmental stimuli and the maternal effects seen in the offspring generation(s).
View Article and Find Full Text PDFSpectrochim Acta A Mol Biomol Spectrosc
January 2025
VTT Technical Research Centre of Finland Ltd, Tietotie 2, P.O. Box 1000, 02044 Espoo, Finland.
This study elucidates the utility and efficacy of UV-visible spectroscopy for the detection and characterization of biological contaminants within microalgae cultures, augmented by machine learning algorithms. Biological contamination, exemplified by flagellates and rotifers, poses a significant concern due to its potential to rapidly devastate entire cultures, thus jeopardizing commercial viability. Conventional analytical methods for monitoring contamination, such as microscopy and cytometry, are often labor-intensive, reliant on specialized expertise for microorganism identification, and may lack specificity in discerning the nature of contamination, impeding timely intervention.
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