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Full-Text Articles in Organisms
Increasing Antibiotic Resistance In Shigella Bacteria In The United States, William J. Pharr
Increasing Antibiotic Resistance In Shigella Bacteria In The United States, William J. Pharr
The Corinthian
Shigella bacteria cause half a million infections, 6,000 hospitalizations, and 70 deaths annually in the United States. These bacteria are of particular concern due to their high survivability, low infectious dose, and high adaptability. Cases of shigellosis from Shigella sonnei are becoming a more prevalent issue in the U.S. as the bacteria continues to develop higher resistance to today’s strongest antibiotics. Much of this resistance is connected to the exchange of genes between strains of Shigella due to insertion sequences (IS), intercontinental travel, and men who have sex with men (MSM). As a result of increased resistance, the use of …
Epidemiologic Survey Of Legionella Urine Antigen Testing Within A Large Wisconsin-Based Health Care System, Caroline P. Toberna, Hannah M. William, Jessica J. F. Kram, Kayla Heslin, Dennis J. Baumgardner
Epidemiologic Survey Of Legionella Urine Antigen Testing Within A Large Wisconsin-Based Health Care System, Caroline P. Toberna, Hannah M. William, Jessica J. F. Kram, Kayla Heslin, Dennis J. Baumgardner
Journal of Patient-Centered Research and Reviews
Purpose: Legionella pneumophila pneumonia is a life-threatening, environmentally acquired infection identifiable via Legionella urine antigen tests (LUAT). We aimed to identify cumulative incidence, demographic distribution, and undetected disease outbreaks of Legionella pneumonia via positive LUAT in a single eastern Wisconsin health system, with a focus on urban Milwaukee County.
Methods: A multilevel descriptive ecologic study was conducted utilizing electronic medical record data from a large integrated health care system of patients who underwent LUAT from 2013 to 2017. A random sample inclusive of all positive tests was reviewed to investigate geodemographic differences among patients testing positive versus negative. Statistical comparisons …