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The value of correlation of serum 20S proteasome concentration and percentage of lymphocytic apoptosis in critically ill patients: a prospective observational study

Overview of attention for article published in Critical Care, November 2010
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Title
The value of correlation of serum 20S proteasome concentration and percentage of lymphocytic apoptosis in critically ill patients: a prospective observational study
Published in
Critical Care, November 2010
DOI 10.1186/cc9340
Pubmed ID
Authors

Ayman A Yousef, Ghada A Suliman, Maaly M Mabrouk

Abstract

Sepsis in critically ill patients is almost associated with bad prognosis and its early detection may improve the prognosis. However, it is difficult to monitor the immunological state of these patients depending on the traditional markers of infection or inflammatory mediators. Accelerated lymphocyte death may reflect good idea about the prognosis especially when combined with 20S proteasome determinations, a recently discovered marker for muscle degradation in patients with sepsis. The hypothesis of the present study is to evaluate the role of serum 20S proteasome at early diagnosis of sepsis and its correlation with lymphocyte apoptosis to predict prognosis and consequently the early interference in critically ill patients suffering from a broad range of diseases in the intensive care unit.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 19 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Brazil 2 11%
France 1 5%
United States 1 5%
Unknown 15 79%

Demographic breakdown

Readers by professional status Count As %
Researcher 6 32%
Student > Ph. D. Student 6 32%
Other 2 11%
Student > Master 2 11%
Student > Postgraduate 1 5%
Other 0 0%
Unknown 2 11%
Readers by discipline Count As %
Medicine and Dentistry 8 42%
Biochemistry, Genetics and Molecular Biology 2 11%
Nursing and Health Professions 2 11%
Agricultural and Biological Sciences 2 11%
Computer Science 2 11%
Other 1 5%
Unknown 2 11%