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Neutrophil gelatinase-associated lipocalin (NGAL) predicts the occurrence of malaria-induced acute kidney injury

Overview of attention for article published in Malaria Journal, September 2016
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Mentioned by

twitter
4 tweeters

Citations

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17 Dimensions

Readers on

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42 Mendeley
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Title
Neutrophil gelatinase-associated lipocalin (NGAL) predicts the occurrence of malaria-induced acute kidney injury
Published in
Malaria Journal, September 2016
DOI 10.1186/s12936-016-1516-y
Pubmed ID
Authors

Marlies E. van Wolfswinkel, Liese C. Koopmans, Dennis A. Hesselink, Ewout J. Hoorn, Rob Koelewijn, Jaap J. van Hellemond, Perry J. J. van Genderen

Abstract

Acute kidney injury (AKI) is a frequently encountered complication of imported Plasmodium falciparum infection. Markers of structural kidney damage have been found to detect AKI earlier than serum creatinine-based prediction models but have not yet been evaluated in imported malaria. This pilot study aims to explore the predictive performance of neutrophil gelatinase-associated lipocalin (NGAL) and kidney injury molecule-1 (KIM-1) for AKI in travellers with imported P. falciparum infection. Thirty-nine patients with imported falciparum malaria from the Rotterdam Malaria Cohort with available serum and urine samples at presentation were included. Ten of these patients met the criteria for severe malaria. The predictive performance of NGAL and KIM-1 as markers for AKI was compared with that of serum creatinine. Six of the 39 patients (15 %) developed AKI. Serum and urine NGAL and urine KIM-1 were all found to have large areas under the receiver operating characteristics curves (AUROC) for predicting AKI. Urine NGAL was found to have an excellent performance with positive predictive value (PPV) of 1.00 (95 % CI 0.54-1.00), a negative predictive value (NPV) of 1.00 (95 % CI 0.89-1.00) and an AUROC of 1.00 (95 % CI 1.00-1.00). A good diagnostic performance of NGAL and KIM-1 for AKI was found. Particularly, urine NGAL was found to have an excellent predictive performance. Larger studies are needed to demonstrate whether these biomarkers are superior to serum creatinine as predictors for AKI in P. falciparum malaria.

Twitter Demographics

The data shown below were collected from the profiles of 4 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 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 9 21%
Student > Bachelor 7 17%
Researcher 6 14%
Student > Master 4 10%
Student > Postgraduate 3 7%
Other 6 14%
Unknown 7 17%
Readers by discipline Count As %
Medicine and Dentistry 13 31%
Computer Science 4 10%
Biochemistry, Genetics and Molecular Biology 4 10%
Immunology and Microbiology 4 10%
Nursing and Health Professions 2 5%
Other 5 12%
Unknown 10 24%

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 15 September 2016.
All research outputs
#3,981,169
of 8,386,076 outputs
Outputs from Malaria Journal
#1,802
of 2,948 outputs
Outputs of similar age
#118,269
of 252,999 outputs
Outputs of similar age from Malaria Journal
#67
of 112 outputs
Altmetric has tracked 8,386,076 research outputs across all sources so far. This one has received more attention than most of these and is in the 50th percentile.
So far Altmetric has tracked 2,948 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.1. This one is in the 35th percentile – i.e., 35% 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 252,999 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 50% of its contemporaries.
We're also able to compare this research output to 112 others from the same source and published within six weeks on either side of this one. This one is in the 32nd percentile – i.e., 32% of its contemporaries scored the same or lower than it.