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Innate Immunity in the Persistent Inflammation, Immunosuppression, and Catabolism Syndrome and Its Implications for Therapy

Overview of attention for article published in Frontiers in immunology, April 2018
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  • Good Attention Score compared to outputs of the same age (67th percentile)
  • Good Attention Score compared to outputs of the same age and source (67th percentile)

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Title
Innate Immunity in the Persistent Inflammation, Immunosuppression, and Catabolism Syndrome and Its Implications for Therapy
Published in
Frontiers in immunology, April 2018
DOI 10.3389/fimmu.2018.00595
Pubmed ID
Authors

Hiroyuki Horiguchi, Tyler J. Loftus, Russell B. Hawkins, Steven L. Raymond, Julie A. Stortz, McKenzie K. Hollen, Brett P. Weiss, Elizabeth S. Miller, Azra Bihorac, Shawn D. Larson, Alicia M. Mohr, Scott C. Brakenridge, Hironori Tsujimoto, Hideki Ueno, Frederick A. Moore, Lyle L. Moldawer, Philip A. Efron, The Sepsis and Critical Illness Research Center Investigators

Abstract

Clinical and technological advances promoting early hemorrhage control and physiologic resuscitation as well as early diagnosis and optimal treatment of sepsis have significantly decreased in-hospital mortality for many critically ill patient populations. However, a substantial proportion of severe trauma and sepsis survivors will develop protracted organ dysfunction termed chronic critical illness (CCI), defined as ≥14 days requiring intensive care unit (ICU) resources with ongoing organ dysfunction. A subset of CCI patients will develop the persistent inflammation, immunosuppression, and catabolism syndrome (PICS), and these individuals are predisposed to a poor quality of life and indolent death. We propose that CCI and PICS after trauma or sepsis are the result of an inappropriate bone marrow response characterized by the generation of dysfunctional myeloid populations at the expense of lympho- and erythropoiesis. This review describes similarities among CCI/PICS phenotypes in sepsis, cancer, and aging and reviews the role of aberrant myelopoiesis in the pathophysiology of CCI and PICS. In addition, we characterize pathogen recognition, the interface between innate and adaptive immune systems, and therapeutic approaches including immune modulators, gut microbiota support, and nutritional and exercise therapy. Finally, we discuss the future of diagnostic and prognostic approaches guided by machine and deep-learning models trained and validated on big data to identify patients for whom these approaches will yield the greatest benefits. A deeper understanding of the pathophysiology of CCI and PICS and continued investigation into novel therapies harbor the potential to improve the current dismal long-term outcomes for critically ill post-injury and post-infection patients.

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X Demographics

The data shown below were collected from the profiles of 10 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 226 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 226 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 32 14%
Student > Master 28 12%
Researcher 23 10%
Student > Ph. D. Student 23 10%
Student > Doctoral Student 15 7%
Other 40 18%
Unknown 65 29%
Readers by discipline Count As %
Medicine and Dentistry 70 31%
Biochemistry, Genetics and Molecular Biology 19 8%
Immunology and Microbiology 12 5%
Agricultural and Biological Sciences 11 5%
Nursing and Health Professions 11 5%
Other 29 13%
Unknown 74 33%
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 29 July 2021.
All research outputs
#6,912,854
of 25,483,400 outputs
Outputs from Frontiers in immunology
#7,334
of 31,797 outputs
Outputs of similar age
#112,023
of 343,067 outputs
Outputs of similar age from Frontiers in immunology
#226
of 699 outputs
Altmetric has tracked 25,483,400 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 31,797 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.4. This one has done well, scoring higher than 76% 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 343,067 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 67% of its contemporaries.
We're also able to compare this research output to 699 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 67% of its contemporaries.