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Sputum Biomarkers and the Prediction of Clinical Outcomes in Patients with Cystic Fibrosis

Overview of attention for article published in PLOS ONE, August 2012
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Title
Sputum Biomarkers and the Prediction of Clinical Outcomes in Patients with Cystic Fibrosis
Published in
PLOS ONE, August 2012
DOI 10.1371/journal.pone.0042748
Pubmed ID
Authors

Theodore G. Liou, Frederick R. Adler, Ruth H. Keogh, Yanping Li, Judy L. Jensen, William Walsh, Kristyn Packer, Teresa Clark, Holly Carveth, Jun Chen, Shaunessy L. Rogers, Christen Lane, James Moore, Anne Sturrock, Robert Paine, David R. Cox, John R. Hoidal

Abstract

Lung function, acute pulmonary exacerbations (APE), and weight are the best clinical predictors of survival in cystic fibrosis (CF); however, underlying mechanisms are incompletely understood. Biomarkers of current disease state predictive of future outcomes might identify mechanisms and provide treatment targets, trial endpoints and objective clinical monitoring tools. Such CF-specific biomarkers have previously been elusive. Using observational and validation cohorts comprising 97 non-transplanted consecutively-recruited adult CF patients at the Intermountain Adult CF Center, University of Utah, we identified biomarkers informative of current disease and predictive of future clinical outcomes. Patients represented the majority of sputum producers. They were recruited March 2004-April 2007 and followed through May 2011. Sputum biomarker concentrations were measured and clinical outcomes meticulously recorded for a median 5.9 (interquartile range 5.0 to 6.6) years to study associations between biomarkers and future APE and time-to-lung transplantation or death. After multivariate modeling, only high mobility group box-1 protein (HMGB-1, mean=5.84 [log ng/ml], standard deviation [SD] =1.75) predicted time-to-first APE (hazard ratio [HR] per log-unit HMGB-1=1.56, p-value=0.005), number of future APE within 5 years (0.338 APE per log-unit HMGB-1, p<0.001 by quasi-Poisson regression) and time-to-lung transplantation or death (HR=1.59, p=0.02). At APE onset, sputum granulocyte macrophage colony stimulating factor (GM-CSF, mean 4.8 [log pg/ml], SD=1.26) was significantly associated with APE-associated declines in lung function (-10.8 FEV(1)% points per log-unit GM-CSF, p<0.001 by linear regression). Evaluation of validation cohorts produced similar results that passed tests of mutual consistency. In CF sputum, high HMGB-1 predicts incidence and recurrence of APE and survival, plausibly because it mediates long-term airway inflammation. High APE-associated GM-CSF identifies patients with large acute declines in FEV(1)%, possibly providing a laboratory-based objective decision-support tool for determination of an APE diagnosis. These biomarkers are potential CF reporting tools and treatment targets for slowing long-term progression and reducing short-term severity.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 59 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Netherlands 1 2%
Unknown 58 98%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 11 19%
Researcher 10 17%
Student > Bachelor 7 12%
Professor 6 10%
Other 5 8%
Other 12 20%
Unknown 8 14%
Readers by discipline Count As %
Medicine and Dentistry 18 31%
Agricultural and Biological Sciences 8 14%
Biochemistry, Genetics and Molecular Biology 6 10%
Nursing and Health Professions 3 5%
Computer Science 2 3%
Other 12 20%
Unknown 10 17%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 10 August 2012.
All research outputs
#20,163,398
of 22,673,450 outputs
Outputs from PLOS ONE
#172,684
of 193,525 outputs
Outputs of similar age
#150,103
of 167,363 outputs
Outputs of similar age from PLOS ONE
#3,811
of 4,162 outputs
Altmetric has tracked 22,673,450 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 193,525 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 15.0. This one is in the 1st percentile – i.e., 1% of its peers scored the same or lower than it.
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We're also able to compare this research output to 4,162 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.