Publication: Procalcitonin (PCT) levels for ruling-out bacterial coinfection in ICU patients with influenza: A CHAID decision-tree analysis.
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Date
2015-12-15
Authors
Rodríguez, Alejandro H
Avilés-Jurado, Francesc X
Díaz, Emili
Schuetz, Philipp
Trefler, Sandra I
Solé-Violán, Jordi
Cordero, Lourdes
Vidaur, Loreto
Estella, Ángel
Pozo Laderas, Juan C
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Abstract
To define which variables upon ICU admission could be related to the presence of coinfection using CHAID (Chi-squared Automatic Interaction Detection) analysis. A secondary analysis from a prospective, multicentre, observational study (2009-2014) in ICU patients with confirmed A(H1N1)pdm09 infection. We assessed the potential of biomarkers and clinical variables upon admission to the ICU for coinfection diagnosis using CHAID analysis. Performance of cut-off points obtained was determined on the basis of the binominal distributions of the true (+) and true (-) results. Of the 972 patients included, 196 (20.3%) had coinfection. Procalcitonin (PCT; ng/mL 2.4 vs. 0.5, p PCT has a high negative predictive value (94%) and lower PCT levels seems to be a good tool for excluding coinfection, particularly for patients without shock.
Description
MeSH Terms
Adult
Bacterial Infections
Biomarkers
Calcitonin
Calcitonin Gene-Related Peptide
Coinfection
Decision Trees
Female
Humans
Influenza, Human
Intensive Care Units
Male
Middle Aged
Predictive Value of Tests
Prospective Studies
Protein Precursors
Sensitivity and Specificity
Bacterial Infections
Biomarkers
Calcitonin
Calcitonin Gene-Related Peptide
Coinfection
Decision Trees
Female
Humans
Influenza, Human
Intensive Care Units
Male
Middle Aged
Predictive Value of Tests
Prospective Studies
Protein Precursors
Sensitivity and Specificity
DeCS Terms
CIE Terms
Keywords
CHAID analysis, Community-acquired pneumonia, Influenza A(H1N1)pmd, Procalcitonin, Prognosis, Respiratory coinfection, Septic shock