Aim: Self-inflicted oral-dental mutilations (SIODMs) are the result of an intentional or unintentional action that leads to anatomical and functional damage to the soft and hard tissues of the oral cavity. In paediatric patients they can be associated with both organic and functional diseases. A systematic review was conducted aiming to consolidate and integrate the existing knowledge on SIODM in paediatric patients.
Methods: Literature search, study design and data analysis were performed in accordance with PRISMA guidelines. The research question was structured using the PICO framework (PROSPERO n° CRD42023433727).
Conclusion: This is the first systematic review aimed to synthesize the findings of studies on SIODM in paediatric patients. The extensive heterogeneity of underlying diseases, anatomical sites and nature of mutilation, as well as of the proposed treatments, make SIODM in paediatric population a challenging clinical field, in which only a multidisciplinary approach can provide adequate know-how in terms of prevention and therapeutic interventions.
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http://dx.doi.org/10.23804/ejpd.2025.2213 | DOI Listing |
Am J Sports Med
January 2025
Department of Orthopaedic Surgery, Boston Children's Hospital, Harvard Medical School, Boston, Massachusetts, USA.
Background: Anterior cruciate ligament (ACL) injuries are common in pediatric and adolescent patients. Understanding this population's injury characteristics and treatment strategies is vital for managing this high-risk group.
Purpose: To report the descriptive epidemiology and treatment strategies of a large cohort of skeletally immature patients with complete ACL tears.
Ital J Pediatr
January 2025
Pediatric Immuno-Rheumatology Unit, Fondazione IRCCS Ca' Granda Ospedale Maggiore Policlinico, Milan, Italy.
Background: Atraumatic avascular necrosis (AVN) is a severe condition that may complicate the course of rheumatic diseases and contribute to long-term damage. However, there is a lack of evidence on this rare event in pediatric rheumatology. The aim of our study was to evaluate the occurrence of avascular necrosis in the context of rheumatologic diseases in Italy and to describe the main demographic and clinical features of AVN patients, with a particular focus on treatment background.
View Article and Find Full Text PDFOrphanet J Rare Dis
January 2025
Department of Pediatrics, Guangdong Provincial People's Hospital, The Second School of Clinical Medicine, Guangdong Academy of Medical Sciences, Southern Medical University, Guangzhou, 510080, China.
Background: Hepatic glycogen storage diseases (GSD) are inborn errors of metabolism with abnormal storage or utilization of glycogen, a complex disease with significant genetic heterogeneity and similar clinical manifestations. This study aimed to describe the gastrointestinal symptoms and endoscopic features of hepatic GSD, including types Ia, Ib, III, VI, and IX, to provide evidence for etiology and treatment.
Methods: A national cohort survey questionnaire was distributed to patients diagnosed with GSD type Ia, Ib, III, VI, and IX through genetic testing or their parents in mainland China in May 2022.
BMC Pediatr
January 2025
Pediatric Internal Medicine, Yantai Yuhuangding Hospital, No.20 Yuhuangding East Road, Zhifu District, Yantai City, Shandong, 264000, China.
Background: Common clinical findings in patients with 19p13.3 duplication include intrauterine growth restriction, intellectual disability, developmental delay, microcephaly, and distinctive facial features. In this study, we report the case of a patient with 19p13.
View Article and Find Full Text PDFBMC Med Inform Decis Mak
January 2025
Great Ormond Street Institute of Child Health, University College London, London, UK.
Introduction: Unsupervised feature learning methods inspired by natural language processing (NLP) models are capable of constructing patient-specific features from longitudinal Electronic Health Records (EHR).
Design: We applied document embedding algorithms to real-world paediatric intensive care (PICU) EHR data to extract patient-specific features from 1853 patients' PICU journeys using 647 unique lab tests and medication events. We evaluated the clinical utility of the patient features via a K-means clustering analysis.
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