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A composite score combining procalcitonin, C-reactive protein and temperature has a high positive predictive value for the diagnosis of intensive care-acquired infections

Overview of attention for article published in BMC Infectious Diseases, April 2013
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3 tweeters

Citations

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13 Dimensions

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29 Mendeley
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Title
A composite score combining procalcitonin, C-reactive protein and temperature has a high positive predictive value for the diagnosis of intensive care-acquired infections
Published in
BMC Infectious Diseases, April 2013
DOI 10.1186/1471-2334-13-159
Pubmed ID
Authors

Laurent Robriquet, Caroline Séjourné, Eric Kipnis, Michele D’herbomez, François Fourrier

Abstract

BACKGROUND: Nosocomial infection diagnosis in the intensive care unit (ICU) remains a challenge. We compared routine measurements of procalcitonin (PCT), C-reactive protein (CRP), white blood cell count (WBC) and temperature in the detection of ICU-acquired infections. METHOD: Prospective observational cohort study in a University hospital Medicosurgical ICU. All patients admitted to the ICU >= 5 days (n = 141) were included into two groups, either infected (documented infection, n = 25) or non-infected (discharged from the ICU without diagnosis of infection, n = 88). RESULTS: PCT, CRP, WBC and temperature progression from day -4 (D-4) to day 0 (D0) (day of infection diagnosis or ICU discharge) was analysed. Differences (Delta) were calculated as D0 levels minus the lowest preceding value. D0 PCT and CRP were significantly increased in infected compared to non-infected patients (median, 1st and 3rd quartiles): 3.6 ng/mL (0.92-25) for PCT, 173 mg/L (126--188) for CRP versus 0.02 ng/mL (0.1-0.9) and 57 mg/mL (31--105) respectively (p < 0.0001). In multivariate analysis, D0 temperature > 38.6[degree sign]C, PCT > 1.86 ng/mL, and CRP > 88 mg/L, performed well (AUCs of 0.88, 0.84, and 0.88 respectively). The sensitivity/specificity profiles of each marker (76%/94% for temperature, 68%/91% for PCT, and 92%/70% for CRP) led to a composite score (0.068 x D0 PCT + 0.005 x D0 CRP + 0.7 x temperature) more highly specific than each component (AUC of 0.90 and sensitivity/specificity of 80%/97%). CONCLUSION: Combining CRP, PCT and temperature is an approach which may increase of nosocomial infection detection in the ICU.

Twitter Demographics

The data shown below were collected from the profiles of 3 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 29 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 29 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 7 24%
Other 5 17%
Student > Master 4 14%
Professor > Associate Professor 3 10%
Professor 3 10%
Other 4 14%
Unknown 3 10%
Readers by discipline Count As %
Medicine and Dentistry 16 55%
Nursing and Health Professions 3 10%
Immunology and Microbiology 3 10%
Biochemistry, Genetics and Molecular Biology 2 7%
Agricultural and Biological Sciences 1 3%
Other 1 3%
Unknown 3 10%

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 02 April 2013.
All research outputs
#14,748,737
of 22,703,044 outputs
Outputs from BMC Infectious Diseases
#4,052
of 7,649 outputs
Outputs of similar age
#120,062
of 199,767 outputs
Outputs of similar age from BMC Infectious Diseases
#78
of 137 outputs
Altmetric has tracked 22,703,044 research outputs across all sources so far. This one is in the 32nd percentile – i.e., 32% of other outputs scored the same or lower than it.
So far Altmetric has tracked 7,649 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 9.6. This one is in the 42nd percentile – i.e., 42% 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 199,767 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 37th percentile – i.e., 37% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 137 others from the same source and published within six weeks on either side of this one. This one is in the 38th percentile – i.e., 38% of its contemporaries scored the same or lower than it.