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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.
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.
Distal tibial fractures are common lower-limb injuries and are generally associated with a high risk of postoperative complications, especially in patients with multiple medical comorbidities. This study sought to ascertain the efficacy of retrograde intramedullary tibial nails (RTN) for treating extra-articular distal tibial fractures in high-risk patients. Between January 2019 and December 2021, 13 patients considered at high risk for postoperative complications underwent RTN fixation.
View Article and Find Full Text PDFAccurate survival prediction of patients with long-bone metastases is challenging, but important for optimizing treatment. The Skeletal Oncology Research Group (SORG) machine learning algorithm (MLA) has been previously developed and internally validated to predict 90-day and 1-year survival. External validation showed promise in the United States and Taiwan.
View Article and Find Full Text PDFJ Sch Nurs
January 2025
Office of Population Health Sciences, University of Illinois Chicago, Chicago, IL, USA.
To reduce chronic school absenteeism and morbidity and mortality among school-aged children, the prompt administration of albuterol sulfate in schools remains vital. School-based stock inhaler programs are a practical approach to ensure equitable access to life-saving rescue medication for students. School and community partnerships can potentially strengthen program implementation and fidelity by integrating evidence-based practices into routine care.
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