↓ Skip to main content

Sweat conductivity and coulometric quantitative test in neonatal cystic fibrosis screening

Overview of attention for article published in Jornal de Pediatria, June 2015
Altmetric Badge

Mentioned by

twitter
1 X user

Readers on

mendeley
48 Mendeley
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Title
Sweat conductivity and coulometric quantitative test in neonatal cystic fibrosis screening
Published in
Jornal de Pediatria, June 2015
DOI 10.1016/j.jped.2015.03.003
Pubmed ID
Authors

Mouseline Torquato Domingos, Neiva Isabel Rodrigues Magdalena, Mônica Nunes Lima Cat, Alexandra Mitiru Watanabe, Nelson Augusto Rosário Filho

Abstract

To compare the results obtained with the sweat test using the conductivity method and coulometric measurement of sweat chloride in newborns (NBs) with suspected cystic fibrosis (CF) in the neonatal screening program. The sweat test was performed simultaneously by both methods in children with and without CF. The cutoff values to confirm CF were >50mmol/L in the conductivity and >60mmol/L in the coulometric test. There were 444 infants without CF (185 males, 234 females, and 24 unreported) submitted to the sweat test through conductivity and coulometric measurement simultaneously, obtaining median results of 32mmol/L and 12mmol/L, respectively. For 90 infants with CF, the median values of conductivity and coulometric measurement were 108mmol/L and 97mmol/L, respectively. The false positive rate for conductivity was 16.7%, and was higher than 50mmol/L in all patients with CF, which gives this method a sensitivity of 100% (95% CI: 93.8-97.8), specificity of 96.2% (95% CI: 93.8-97.8), positive predictive value of 83.3% (95% CI: 74.4-91.1), negative predictive value of 100% (95% CI: 90.5-109.4), and 9.8% accuracy. The correlation between the methods was r=0.97 (p>0.001). The best suggested cutoff value was 69.0mmol/L, with a kappa coefficient=0.89. The conductivity test showed excellent correlation with the quantitative coulometric test, high sensitivity and specificity, and can be used in the diagnosis of CF in children detected through newborn screening.

X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user 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 48 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Italy 1 2%
Unknown 47 98%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 9 19%
Student > Ph. D. Student 6 13%
Student > Postgraduate 5 10%
Student > Master 4 8%
Student > Doctoral Student 3 6%
Other 8 17%
Unknown 13 27%
Readers by discipline Count As %
Medicine and Dentistry 17 35%
Biochemistry, Genetics and Molecular Biology 3 6%
Immunology and Microbiology 2 4%
Agricultural and Biological Sciences 2 4%
Chemistry 2 4%
Other 5 10%
Unknown 17 35%
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 21 June 2015.
All research outputs
#22,759,802
of 25,374,917 outputs
Outputs from Jornal de Pediatria
#743
of 896 outputs
Outputs of similar age
#224,755
of 264,138 outputs
Outputs of similar age from Jornal de Pediatria
#16
of 17 outputs
Altmetric has tracked 25,374,917 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 896 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.6. This one is in the 1st percentile – i.e., 1% 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 264,138 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 17 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.