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Tropical pyomyositis as a presenting feature of subclinical leukemia: a case report

Overview of attention for article published in Journal of Medical Case Reports, February 2015
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Title
Tropical pyomyositis as a presenting feature of subclinical leukemia: a case report
Published in
Journal of Medical Case Reports, February 2015
DOI 10.1186/s13256-015-0513-z
Pubmed ID
Authors

Mitrakrishnan Rayno Navinan, Jevon Yudhisdran, Thambyaiah Kandeepan, Aruna Kulatunga

Abstract

Pyomyositis, though classically considered a tropical disease, has a variable geographic prevalence. Among the predisposing risk factors, immunodeficiency plays an important role. Pyomyositis has a tendency to mimic more commonly considered diseases, and a lack of familiarity with it is a cause of delayed diagnosis. A 53-year-old South Asian man with newly diagnosed type 2 diabetes mellitus was referred to our medical unit in an advanced stage of the disease, which was complicated by sepsis and acute kidney injury. Failure of the referring unit to provide prompt treatment, as well as their delay in coming to a diagnosis, led to the patient's complicated state. Antibiotic therapy was initiated, and clinical stabilization was achieved with supportive measures. Following the patient's recovery from sepsis, his persistent leukopenia and anemia was suggestive of an underlying immunodeficiency, and a subsequent bone marrow biopsy revealed acute myeloid leukemia, M2 variant. Multi-disciplinary care was initiated by the medical, surgical and oncological teams. Awareness of tropical pyomyositis is lacking. Common predisposing behaviors and conditions should always be sought and investigated. Immunosuppressive state is an important predisposing factor in the pathogenesis of pyomyositis. Early antibiotic treatment is pivotal in management, and surgical intervention, when relevant, should not be delayed. Identifying one cause should not halt the search for others, as pyomyositis may herald underlying sinister diseases.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 34 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Brazil 1 3%
Unknown 33 97%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 7 21%
Student > Postgraduate 3 9%
Student > Doctoral Student 3 9%
Student > Bachelor 3 9%
Other 2 6%
Other 7 21%
Unknown 9 26%
Readers by discipline Count As %
Medicine and Dentistry 17 50%
Psychology 3 9%
Environmental Science 1 3%
Neuroscience 1 3%
Materials Science 1 3%
Other 1 3%
Unknown 10 29%