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rocky mountain spotted fever/diarrhea

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6 結果

Rocky Mountain spotted fever. Gastrointestinal and pancreatic lesions and rickettsial infection.

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Recent clinical studies have shown a high incidence of nausea, vomiting, diarrhea, and abdominal pain in Rocky Mountain spotted fever (RMSF), and case reports have documented rickettsial infection and vascular injury in the small intestine, appendix, and gallbladder. To determine the incidence and

Rocky Mountain spotted fever mimicking acute cholecystitis.

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Rocky Mountain spotted fever can present with predominantly abdominal symptoms including nausea, vomiting, diarrhea, and abdominal pain. Two elderly patients presented with an acute febrile illness and abdominal symptoms. Rash was not present initially. Workup disclosed cholelithiasis in one, and a

Diarrhea caused by primarily non-gastrointestinal infections.

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Infectious diseases that do not primarily affect the gastrointestinal tract can cause severe diarrhea. The pathogenesis of this kind of diarrhea includes cytokine action, intestinal inflammation, sequestration of red blood cells, apoptosis and increased permeability of endothelial cells in the gut

Brazilian spotted fever: description of a fatal clinical case in the State of Rio de Janeiro.

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We describe a case of Brazilian spotted fever in a previously healthy young woman who died with petechial rash associated to acute renal and respiratory insufficiency 12 days following fever, headache, myalgia, and diarrhea. Serologic test in a serum sample, using an immunofluorescence assay,

Risk factors for fatal outcome from rocky mountain spotted Fever in a highly endemic area-Arizona, 2002-2011.

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BACKGROUND Rocky Mountain spotted fever (RMSF) is a disease that now causes significant morbidity and mortality on several American Indian reservations in Arizona. Although the disease is treatable, reported RMSF case fatality rates from this region are high (7%) compared to the rest of the nation

Evaluating the Surveillance System for Spotted Fever in Brazil Using Machine-Learning Techniques.

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This work analyses the performance of the Brazilian spotted fever (SF) surveillance system in diagnosing and confirming suspected cases in the state of Rio de Janeiro (RJ), from 2007 to 2016 (July) using machine-learning techniques. Of the 890 cases reported to the Disease Notification Information
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