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Front Pediatr
January 2025
Department of Clinical Pharmacy, School of Pharmacy, Shiraz University of Medical Sciences, Shiraz, Iran.
Introduction: One of the most prevalent healthcare-associated infections in the pediatric intensive care unit is ventilator-associated pneumonia (VAP). VAP not only results in prolonged hospital and intensive care unit (ICU) stays but also imposes higher costs on patients and the healthcare system. Therefore, it is essential to implement preventive measures.
View Article and Find Full Text PDFHeadache
January 2025
Department of Neurological Surgery, Rutgers-New Jersey Medical School, Newark, New Jersey, USA.
A patient with persistent refractory headaches from aneurysmal subarachnoid hemorrhage was treated with monthly erenumab injections, a monoclonal antibody to the calcitonin gene-related peptide (CGRP) receptor. These injections decreased the frequency and severity of the patient's debilitating headaches from daily to once or twice per month with positive improvement in function and quality of life. To our knowledge, this is the first reported case in the literature of a patient with persistent post-subarachnoid hemorrhage headache that was successfully treated with an antibody against the CGRP receptor.
View Article and Find Full Text PDFJ Neurol
January 2025
Clinical and Molecular Epidemiology, IRCCS San Raffaele Roma, Rome, Italy.
Objectives: To determine whether extending anti-CGRP mAb treatment beyond 3 years influences migraine course, we analyzed migraine frequency during the first month of treatment discontinuation following three 12-month treatment cycles (Ts).
Methods: This multicenter, prospective, real-world study enrolled 212 patients with high-frequency episodic migraine (HFEM) or chronic migraine (CM) who completed three consecutive Ts of subcutaneous anti-CGRP mAbs. Discontinuation periods (D1, D2, D3) were defined as the first month after T1, T2, and T3, respectively.
Int J Mol Sci
January 2025
Expert Medical Analysis Group, Institute of Technology, University of Castilla-La Mancha, 16071 Cuenca, Spain.
The COVID-19 pandemic has accelerated advances in molecular biology and virology, enabling the identification of key biomarkers to differentiate between severe and mild cases. Furthermore, the use of artificial intelligence (AI) and machine learning (ML) to analyze large datasets has been crucial for rapidly identifying relevant biomarkers for disease prognosis, including COVID-19. This approach enhances diagnostics in emergency settings, allowing for more accurate and efficient patient management.
View Article and Find Full Text PDFIdentifying and managing pediatric sepsis is a major research focus, yet early detection and risk assessment remain challenging. In its early stages, sepsis symptoms often mimic those of mild infections or chronic conditions, complicating timely diagnosis. Although various early warning scores exist, their effectiveness is limited, particularly in prehospital settings where accurate, rapid assessment is crucial.
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