This article reports a girl with Bardet-Biedl syndrome (BBS) having a novel causative mutation who developed Legg-Calvé-Perthes disease (LCPD). There exists a possibility that the prognosis of LCPD had been adversely affected by the concomitant BBS.
Download full-text PDF |
Source |
|---|---|
| http://www.ncbi.nlm.nih.gov/pmc/articles/PMC7752338 | PMC |
| http://dx.doi.org/10.1002/ccr3.3357 | DOI Listing |
Publication Analysis
Top Keywords
Similar Publications
The synergetic effect of edaravone and scutellarin in the MPP(+)-induced cell model of Parkinson's disease.
Histol Histopathol
January 2025
Department of Neurology, The Affiliated People's Hospital of Jiangsu University, Zhenjiang Jiangsu, PR China.
Parkinson's disease (PD) is a limb movement disorder caused by the degeneration of brain neurons and seriously affects the quality of life of the elderly. However, the current drugs are symptomatic treatments that cannot prevent or delay the development of the disease. Targeted therapy for pathogenesis may be the direction of development in the future.
View Article and Find Full Text PDFWastewater Monitoring During the COVID-19 Pandemic in the Veneto Region, Italy: Longitudinal Observational Study.
JMIR Public Health Surveill
January 2025
Unit of Biostatistics, Epidemiology and Public Health, Department of Cardio-Thoraco-Vascular Sciences and Public Health, University of Padova, Via Loredan 18, Padova, Italy, 39 049 8275384.
Background: As the COVID-19 pandemic has affected populations around the world, there has been substantial interest in wastewater-based epidemiology (WBE) as a tool to monitor the spread of SARS-CoV-2. This study investigates the use of WBE to anticipate COVID-19 trends by analyzing the correlation between viral RNA concentrations in wastewater and reported COVID-19 cases in the Veneto region of Italy.
Objective: We aimed to evaluate the effectiveness of the cumulative sum (CUSUM) control chart method in detecting changes in SARS-CoV-2 concentrations in wastewater and its potential as an early warning system for COVID-19 outbreaks.
What are family caregivers' experiences of coordinating end-of-life care at home? A narrative review.
Palliat Support Care
January 2025
School of Nursing and Midwifery, University of Plymouth, Plymouth, UK.
Objectives: People with life-limiting diseases, who are no longer receiving active or curable treatment, often state their preferred place of care and death as the home. This requires coordinating a multidisciplinary approach, using available health and social care services to synchronize care. Family caregivers are key to enabling home-based end-of-life support; however, the 2 elements that facilitate success - coordination and family caregiver - are not necessarily associated as being intertwined or one and the same.
View Article and Find Full Text PDFExoskeleton Robot Training in Two Patients with an Electrical Burn and Septic Arthritis: A Case Report.
J Burn Care Res
January 2025
Department of Rehabilitation Medicine, Hangang Sacred Heart Hospital, College of Medicine, Hallym University, Seoul, Korea.
Septic arthritis (SA) are rare in patients with burns, but delayed treatment can result in irreversible joint destruction. Early diagnosis and immediate treatment are necessary to prevent joint destruction. Robot training in patients with musculoskeletal diseases and burns, can improve joint range of motion (ROM), muscle strength, and lower extremity function.
View Article and Find Full Text PDFLipoprotein(a) Atherosclerotic Cardiovascular Disease Risk Score Development and Prediction in Primary Prevention From Real-World Data.
Circ Genom Precis Med
January 2025
Mary and Steve Wen Cardiovascular Division, Department of Medicine, University of California, Los Angeles. (W.F., N.D.W.).
Background: Lp(a; Lipoprotein[a]) is a predictor of atherosclerotic cardiovascular disease (ASCVD); however, there are few algorithms incorporating Lp(a), especially from real-world settings. We developed an electronic health record (EHR)-based risk prediction algorithm including Lp(a).
Methods: Utilizing a large EHR database, we categorized Lp(a) cut points at 25, 50, and 75 mg/dL and constructed 10-year ASCVD risk prediction models incorporating Lp(a), with external validation in a pooled cohort of 4 US prospective studies.
Want AI Summaries of new PubMed Abstracts delivered to your In-box?
Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!