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Predictors of immune reconstitution inflammatory syndrome associated with Kaposi’s sarcoma: a case report

Overview of attention for article published in Infectious Agents and Cancer, February 2016
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Title
Predictors of immune reconstitution inflammatory syndrome associated with Kaposi’s sarcoma: a case report
Published in
Infectious Agents and Cancer, February 2016
DOI 10.1186/s13027-016-0051-3
Pubmed ID
Authors

Anna Maria Cattelan, Adriana Mattiolo, Angela Grassi, Maria Assunta Piano, Lolita Sasset, Marco Trevenzoli, Paola Zanovello, Maria Luisa Calabrò

Abstract

We present here a case of immune reconstitution inflammatory syndrome associated with Kaposi's sarcoma (KS-IRIS) developed in an AIDS patient two months after initiation of antiretroviral therapy (ART). Baseline characteristics of this IRIS-KS case, within a cohort of 12 naïve AIDS-KS patients, were analyzed. No statistically significant differences in CD4 cell counts, plasma HIV RNA load, KS clinical staging, human herpesvirus 8 (HHV8) antibody titers and HHV8 load in peripheral blood mononuclear cells and saliva were evidenced. HHV8 load in plasma was found to be significantly higher in the KS-IRIS patient (> 6 log10 genome equivalents/ml, p = 0.01, t-test) compared to the 11 patients with KS regression. This case highlights that measurement of HHV8 load in plasma may be useful to identify patients at risk for KS-IRIS, and that this parameter should be included in the design of larger studies to define KS-IRIS risk predictors.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 16 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Argentina 1 6%
Unknown 15 94%

Demographic breakdown

Readers by professional status Count As %
Student > Master 4 25%
Student > Ph. D. Student 4 25%
Professor 2 13%
Other 1 6%
Librarian 1 6%
Other 2 13%
Unknown 2 13%
Readers by discipline Count As %
Medicine and Dentistry 9 56%
Agricultural and Biological Sciences 2 13%
Nursing and Health Professions 2 13%
Immunology and Microbiology 1 6%
Computer Science 1 6%
Other 0 0%
Unknown 1 6%