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Background: There is a broad and diverse range of symptoms after a concussion, from irritability to nausea. This heterogeneity of symptoms is a challenge for clinicians managing the different presentations among injuries. Prior research has investigated the structure of postconcussive symptoms to determine if they can be grouped into clusters of related symptoms.
Purpose/hypothesis: The purpose of this study was to identify symptom clusters during the acute phase after a sports-related concussion using exploratory factor analysis and to understand the relationship between risk factors for postconcussion symptoms (ie, demographics, injury characteristics, mental health, and sleep qualities) and different symptom clusters. We hypothesized that certain factors would be predictive of specific symptom clusters.
Study Design: Cross-sectional study; Level of evidence, 3.
Methods: Collegiate athletes (N = 1104) from the Concussion, Assessment, Research, and Education (CARE) Consortium completed the Sport Concussion Assessment Tool-Third Edition symptom assessment tool 24 to 48 hours after concussion. Exploratory factor analysis was conducted on the symptom evaluation to determine symptom clusters 24 to 48 hours after concussion. Regression analysis was used to examine the effects of pre- and postinjury characteristics.
Results: Exploratory factor analysis revealed a 4-cluster structure for acute postconcussive symptoms that explained 62% of the variance in symptom reporting: vestibular-cognitive, migrainous, cognitive fatigue, and affective. Delayed reporting, less sleep before assessment, female sex, and being hurt outside of competition (during practice/training) was correlated with increased symptoms for 4 symptom clusters. Depression predicted higher vestibular-cognitive and affective symptoms. Amnesia was correlated with higher vestibular-cognitive and migrainous symptoms, whereas migraine history was associated with more migrainous and affective symptoms.
Conclusion: Symptoms can be grouped into 1 of 4 distinct clusters. Certain variables were associated with increased symptoms across multiple clusters and may be indicative of greater injury severity. Other factors (ie, migraine history, depression, amnesia) were associated with a more specific symptom presentation and may be mechanistically related to concussion outcomes and biological markers.
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http://dx.doi.org/10.1177/23259671231163581 | DOI Listing |
J Clin Invest
September 2025
Department of Clinical and Biomedical Sciences, Faculty of Health and Life Sciences, University of Exeter, Exeter, United Kingdom.
Understanding the genetic causes of diseases affecting pancreatic β cells and neurons can give insights into pathways essential for both cell types. Microcephaly, epilepsy and diabetes syndrome (MEDS) is a congenital disorder with two known aetiological genes, IER3IP1 and YIPF5. Both genes encode proteins involved in endoplasmic reticulum (ER) to Golgi trafficking.
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The Kids Research Institute Australia, The University of Western Australia, P.O. Box 855, West Perth, WA, 6872, Australia.
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Department of Ophthalmology and Visual Science, Seoul St. Mary's Hospital, College of Medicine, The Catholic University of Korea, #505 BanPo-Dong, SeoCho-Gu, Seoul, 06591, Republic of Korea.
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Center for Innovation and Value Research, Alexandria, VA, USA.
Manufacturers of orphan drugs face several obstacles in meeting health technology assessment requirements because of poor availability of natural history data, small sample sizes, single-arm trials, and a paucity of established disease-specific endpoints. There is a need for specific considerations and modified approaches in health technology assessments that would account for the challenges in orphan drug development. Multistakeholder collaborations can benefit patients, their families, and the broader society and reduce the inequity faced by patients with rare diseases.
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Pediatric Nephrology Department, Biobizkaia Health Research Institute, Cruces University Hospital, Barakaldo, Spain.
Copeptin, a stable glycopeptide derived from the precursor of arginine vasopressin (AVP), has emerged as a valuable surrogate biomarker for AVP due to its stability and ease of measurement. This narrative review explores the physiological role of copeptin, its utility as a diagnostic and prognostic biomarker in different kidney diseases, and its clinical relevance in renal tubular disorders. The clinical application of copeptin as a diagnostic biomarker is best established in the differential diagnosis of polyuria-polydipsia syndrome (PPS), distinguishing nephrogenic diabetes insipidus (NDI) from central diabetes insipidus (CDI) and primary polydipsia (PP).
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