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How to interpret serum levels of beta-glucan for the diagnosis of invasive fungal infections in adult high-risk hematology patients: optimal cut-off levels and confounding factors

Overview of attention for article published in European Journal of Clinical Microbiology & Infectious Diseases, January 2015
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (52nd percentile)
  • Above-average Attention Score compared to outputs of the same age and source (57th percentile)

Mentioned by

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2 tweeters

Citations

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18 Dimensions

Readers on

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14 Mendeley
Title
How to interpret serum levels of beta-glucan for the diagnosis of invasive fungal infections in adult high-risk hematology patients: optimal cut-off levels and confounding factors
Published in
European Journal of Clinical Microbiology & Infectious Diseases, January 2015
DOI 10.1007/s10096-014-2302-9
Pubmed ID
Authors

H. Hammarström, N. Kondori, V. Friman, C. Wennerås

Abstract

Detection of the fungal cell wall component beta-glucan (BG) in serum is increasingly used to diagnose invasive fungal infections (IFI), but its optimal use in hematology patients with high risk of IFI is not well defined. We retrospectively analyzed the diagnostic accuracy, optimal cut-off level, and potential confounding factors of BG reactivity. The inclusion criteria were: adult patients with hematologic disease who were admitted to the hematology ward during the 2-year study period and who had two or more consecutive BG assays performed. In total, 127 patients were enrolled. Thirteen patients with proven or probable IFI, as defined by the 2008 European Organization for Research and Treatment of Cancer/Mycoses Study Group (EORTC/MSG) criteria, were identified. Receiver operating characteristic (ROC) curve analysis showed a high overall diagnostic performance (area under the ROC curve = 0.98) and suggested an optimal cut-off level of 158 pg/ml, with a sensitivity and a specificity of 92 % and 96 %, respectively. Multiway analysis of variance indicated that treatment with pegylated asparaginase (p < 0.001), admission to the intensive care unit (ICU; p = 0.0007), and treatment with albumin, plasma, or coagulation factors (p = 0.01) are potential confounding factors of BG reactivity. We propose that a higher cut-off level than that recommended by the manufacturer should be used to monitor adult hematology patients at high risk for IFI. Our results also suggest that elevated BG levels in patients treated with pegylated asparaginase, albumin, plasma, or coagulation factors, or those admitted to the ICU should be interpreted with caution.

Twitter Demographics

The data shown below were collected from the profiles of 2 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 14 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Australia 1 7%
United States 1 7%
Unknown 12 86%

Demographic breakdown

Readers by professional status Count As %
Student > Doctoral Student 4 29%
Researcher 3 21%
Other 2 14%
Lecturer > Senior Lecturer 1 7%
Student > Master 1 7%
Other 3 21%
Readers by discipline Count As %
Medicine and Dentistry 6 43%
Agricultural and Biological Sciences 2 14%
Unspecified 2 14%
Biochemistry, Genetics and Molecular Biology 1 7%
Nursing and Health Professions 1 7%
Other 2 14%

Attention Score in Context

This research output has an Altmetric Attention Score of 2. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 09 January 2015.
All research outputs
#7,263,596
of 12,226,394 outputs
Outputs from European Journal of Clinical Microbiology & Infectious Diseases
#1,131
of 1,790 outputs
Outputs of similar age
#127,849
of 272,771 outputs
Outputs of similar age from European Journal of Clinical Microbiology & Infectious Diseases
#24
of 68 outputs
Altmetric has tracked 12,226,394 research outputs across all sources so far. This one is in the 39th percentile – i.e., 39% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,790 research outputs from this source. They receive a mean Attention Score of 3.5. This one is in the 36th percentile – i.e., 36% of its peers scored the same or lower than it.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 272,771 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 52% of its contemporaries.
We're also able to compare this research output to 68 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 57% of its contemporaries.