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Effective Immunological Guidance of Genetic Analyses Including Exome Sequencing in Patients Evaluated for Hemophagocytic Lymphohistiocytosis

Overview of attention for article published in Journal of Clinical Immunology, September 2017
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  • High Attention Score compared to outputs of the same age and source (90th percentile)

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Citations

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Title
Effective Immunological Guidance of Genetic Analyses Including Exome Sequencing in Patients Evaluated for Hemophagocytic Lymphohistiocytosis
Published in
Journal of Clinical Immunology, September 2017
DOI 10.1007/s10875-017-0443-1
Pubmed ID
Authors

Sandra Ammann, Kai Lehmberg, Udo zur Stadt, Christian Klemann, Sebastian F. N. Bode, Carsten Speckmann, Gritta Janka, Katharina Wustrau, Mirzokhid Rakhmanov, Ilka Fuchs, Hans C. Hennies, Stephan Ehl, the HLH study of the GPOH

Abstract

We report our experience in using flow cytometry-based immunological screening prospectively as a decision tool for the use of genetic studies in the diagnostic approach to patients with hemophagocytic lymphohistiocytosis (HLH). We restricted genetic analysis largely to patients with abnormal immunological screening, but included whole exome sequencing (WES) for those with normal findings upon Sanger sequencing. Among 290 children with suspected HLH analyzed between 2010 and 2014 (including 17 affected, but asymptomatic siblings), 87/162 patients with "full" HLH and 79/111 patients with "incomplete/atypical" HLH had normal immunological screening results. In 10 patients, degranulation could not be tested. Among the 166 patients with normal screening, genetic analysis was not performed in 107 (all with uneventful follow-up), while 154 single gene tests by Sanger sequencing in the remaining 59 patients only identified a single atypical CHS patient. Flow cytometry correctly predicted all 29 patients with FHL-2, XLP1 or 2. Among 85 patients with defective NK degranulation (including 13 asymptomatic siblings), 70 were Sanger sequenced resulting in a genetic diagnosis in 55 (79%). Eight patients underwent WES, revealing mutations in two known and one unknown cytotoxicity genes and one metabolic disease. FHL3 was the most frequent genetic diagnosis. Immunological screening provided an excellent decision tool for the need and depth of genetic analysis of HLH patients and provided functionally relevant information for rapid patient classification, contributing to a significant reduction in the time from diagnosis to transplantation in recent years.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 42 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 42 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 6 14%
Researcher 6 14%
Student > Doctoral Student 5 12%
Student > Master 4 10%
Professor > Associate Professor 3 7%
Other 5 12%
Unknown 13 31%
Readers by discipline Count As %
Medicine and Dentistry 13 31%
Agricultural and Biological Sciences 4 10%
Biochemistry, Genetics and Molecular Biology 3 7%
Nursing and Health Professions 1 2%
Immunology and Microbiology 1 2%
Other 3 7%
Unknown 17 40%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 5. 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 22 October 2019.
All research outputs
#6,177,345
of 22,914,829 outputs
Outputs from Journal of Clinical Immunology
#407
of 1,567 outputs
Outputs of similar age
#98,658
of 317,923 outputs
Outputs of similar age from Journal of Clinical Immunology
#3
of 21 outputs
Altmetric has tracked 22,914,829 research outputs across all sources so far. This one has received more attention than most of these and is in the 72nd percentile.
So far Altmetric has tracked 1,567 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.4. This one has gotten more attention than average, scoring higher than 73% of its peers.
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 317,923 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 68% of its contemporaries.
We're also able to compare this research output to 21 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 90% of its contemporaries.