98%
921
2 minutes
20
Pediatric obstructive sleep apnea (OSA) is a highly prevalent, multifactorial, and often underdiagnosed condition with significant consequences for cognitive and behavioral development. Early detection and timely multidisciplinary interventions are essential, particularly in children with craniofacial anomalies or syndromes associated with increased OSA risks, to prevent long-term complications. This narrative review explores the orthodontists' role in the interdisciplinary management of pediatric OSA, focusing on early screening for craniofacial risk factors and implementing interceptive orthodontic interventions that support favorable airway development and growth modulation. Through early and frequent interaction with pediatric patients, orthodontists are well-positioned to identify clinical signs of airway-related abnormalities and craniofacial risk factors such as mandibular and maxillary retrognathism, maxillary constriction, and high-arched palatal vaults. Orthodontic interventions such as rapid maxillary expansion (RME), mandibular advancement, and myofunctional therapy may improve airway patency in selected cases. These approaches should be coordinated and integrated within the multidisciplinary team, including orthodontists, pediatricians, sleep specialists, ENT specialists, and speech-language pathologists. Furthermore, caregivers' involvement and patients' compliance are keys to success. Despite encouraging clinical observations, current evidence is limited by heterogeneity and a lack of long-term outcome data. Future research should prioritize well-designed prospective trials, explore the effectiveness of combined therapeutic strategies, and support the development of standard diagnostic protocols. Equally important is a stronger focus on early diagnosis and preventive measures to enhance patient outcomes and long-term treatment strategies. Integrating orthodontists into early OSA care is essential for optimizing outcomes and reducing long-term morbidity.
Download full-text PDF |
Source |
---|---|
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC12385011 | PMC |
http://dx.doi.org/10.3390/children12081066 | DOI Listing |
Eur J Pediatr
September 2025
Paediatric Pain and Palliative Care Service, Department of Women's and Children's Health, University Hospital of Padua, Padua, Italy.
Purpose: This study aimed to describe the structure, patient characteristics, and preliminary clinical outcomes of a dedicated interdisciplinary outpatient clinic for paediatric chronic and complex pain in Italy, with a focus on the feasibility of implementing a biopsychosocial care model.
Methods: We conducted a retrospective review of all patients referred to the Paediatric Specialised Pain Clinic of the University of Padua between January 2023 and May 2024. Data on demographics, clinical diagnoses, pain characteristics, treatments, and follow-up outcomes were collected.
Rev Gastroenterol Mex (Engl Ed)
September 2025
Facultad de Ciencias de la Salud, Universidad Icesi, Cali, Colombia; Departamento de Medicina Interna, Servicio de Gastroenterología, Fundación Valle del Lili, Cali, Colombia. Electronic address:
Introduction And Aim: Gastroenteropancreatic neuroendocrine tumors (GEP-NETs) are rare neoplasms originating in neuroendocrine cells from the gastric mucosa and submucosa, small intestine, large intestine, rectum, and pancreas. Our aim was to describe their histopathologic, endoscopic, and clinical characteristics and the experience with these tumors at a tertiary care hospital center in the Colombian Southwest.
Materials And Methods: A retrospective, analytic, observational, and descriptive study included 93 patients diagnosed with GEP-NETs, within the time frame of 2018 and 2022.
Heart
September 2025
Department of Biomedical Engineering, CARIM Cardiovascular Research Institute Maastricht, Maastricht University, Maastricht, The Netherlands
Cardiovascular disease remains a leading cause of morbidity and mortality worldwide, with conventional management often applying standardised approaches that struggle to address individual variability in increasingly complex patient populations. Computational models, both knowledge-driven and data-driven, have the potential to reshape cardiovascular medicine by offering innovative tools that integrate patient-specific information with physiological understanding or statistical inference to generate insights beyond conventional diagnostics. This review traces how computational modelling has evolved from theoretical research tools into clinical decision support systems that enable personalised cardiovascular care.
View Article and Find Full Text PDFBMJ Open
September 2025
Erasmus Universiteit Rotterdam, Erasmus School of Health Policy and Management, Rotterdam, The Netherlands.
Introduction: Non-communicable diseases (NCDs) are a leading cause of global mortality, disproportionately affecting low and middle-income countries (LMICs). Physical inactivity, a key contributor to NCDs, is prevalent worldwide despite evidence supporting the health benefits of physical activity (PA). Cities, while often associated with barriers to PA, also present unique opportunities to enhance PA through systemic, context-sensitive interventions or so-called actions.
View Article and Find Full Text PDFAm J Clin Nutr
September 2025
Interdisciplinary Program in Precision Public Health, Department of Public Health Sciences, Graduate School of Korea University, Seoul, Republic of Korea; Department of Health Policy and Management, College of Health Sciences, Korea University, Seoul, Republic of Korea. Electronic address: hannahoh@
Background: The widely-used anthropometric indices, such as body mass index (BMI) and waist circumference (WC), have limitations in their use as indicators of body composition. Recent studies proposed weight-adjusted waist index (WWI=WC/√(body weight)) as an alternative index for body composition but it is unclear whether WWI reflects body composition in different racial/ethnic groups.
Objective: We examined the associations of WWI, BMI, and WC with dual-energy x-ray absorptiometry (DEXA)-measured body composition, biomarkers (fasting blood glucose, HDL-cholestrol, LDL-cholestrol, triglyceride), and handgrip strength.