Our objective was to evaluate the accuracy of risk stratification criteria for febrile neonates in the emergency department. This was a retrospective study of febrile neonates ≤56 days of age. Patients were low risk for serious bacterial infection (SBI) if all test results were within normal ranges. Three hundred thirty-eight patients were enrolled with a mean age of 32 (±14) days, and 78 (23%) had SBI: 26 (8%) with bacteremia, 48 (14%) with urinary tract infection, 3 (1%) with meningitis, and 11 (3%) with pneumonia. Risk stratification criteria identified 47 (14%) as low risk, 2 of whom had SBI (both with Group B bacteremia). The sensitivity was 97.4% (95% confidence interval = 91.0% to 99.7%), and the negative predictive value was 95.7% (95% confidence interval = 84.8% to 98.9%). The risk stratification criteria have high sensitivity and high negative predictive value for identifying infants at low risk for SBI. Care must be taken to assure reliable follow-up.
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http://dx.doi.org/10.1177/2333794X19845076 | DOI Listing |
JACC Cardiovasc Imaging
January 2025
Department of Nuclear Medicine, Beijing Key Laboratory of Molecular Targeted Diagnosis and Therapy in Nuclear Medicine, State Key Laboratory of Complex Severe and Rare Diseases, Center for Rare Diseases Research, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.
Background: Cardiac involvement in amyloid light chain (AL) amyloidosis significantly influences prognosis, necessitating timely diagnosis and meticulous risk stratification.
Objectives: This prospective study aimed to delineate the molecular phenotypes of AL cardiac amyloidosis (AL-CA) by characterizing fibro-amyloid deposition using F-florbetapir and gallium-68-labeled fibroblast activation protein inhibitor-04 (Ga-FAPI-04) positron emission tomography (PET)/computed tomography (CT) imaging. The authors also proposed a novel molecular stratification methodology for prognosis.
BMJ
December 2024
Department of Preventive Medicine, Hanyang University College of Medicine, Seoul, Republic of Korea.
Objective: To identify clusters of women with similar trajectories of breast density change over four longitudinal assessments and to examine the association between these trajectories and the subsequent risk of breast cancer.
Design: Retrospective cohort study.
Setting: Data from the national breast cancer screening programme, which is embedded in the National Health Insurance Service database in Korea.
J Clin Endocrinol Metab
January 2025
Professor of Medicine, Division of Metabolism, Endocrinology and Nutrition, University of Washington, Seattle WA.
Diabetes is associated with increased atherosclerotic cardiovascular disease (ASCVD) risk, a leading cause of morbidity and mortality. Disordered lipid metabolism is a major contributor to ASCVD risk in diabetes. Dyslipidemia in type 2 diabetes is characterized by hypertriglyceridemia, low HDL cholesterol and the presence of small, dense LDL particles.
View Article and Find Full Text PDFJ Clin Med
December 2024
Anesthesiology and Operative Intensive Care, Faculty of Medicine, University of Augsburg, 86156 Augsburg, Germany.
Mediastinal mass syndrome represents a major threat to respiratory and cardiovascular integrity, with difficult evidence-based risk stratification for interdisciplinary management. We conducted a narrative review concerning risk stratification and difficult airway management of patients presenting with a large mediastinal mass. This is supplemented by a case report illustrating our individual approach for a patient presenting with a subtotal tracheal stenosis due to a large cyst of the thyroid gland.
View Article and Find Full Text PDFJ Clin Med
December 2024
Medical Department, Division of Cardiology, Medical University of Vienna, 1090 Vienna, Austria.
Renal disease is common in patients with cardiovascular disease (CVD) and is associated with adverse outcomes. Cardiac magnetic resonance (CMR) with advanced mapping techniques is the gold standard for characterizing myocardial tissue, and renal tissue is often visualized on these maps. However, it remains unclear whether renal T1 times accurately reflect renal dysfunction or predict adverse outcomes.
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