%0 Journal Article
%A Rodríguez, Alejandro H
%A Avilés-Jurado, Francesc X
%A Díaz, Emili
%A Schuetz, Philipp
%A Trefler, Sandra I
%A Solé-Violán, Jordi
%A Cordero, Lourdes
%A Vidaur, Loreto
%A Estella, Ángel
%A Pozo Laderas, Juan C
%A Socias, Lorenzo
%A Vergara, Juan C
%A Zaragoza, Rafael
%A Bonastre, Juan
%A Guerrero, José E
%A Suberviola, Borja
%A Cilloniz, Catia
%A Restrepo, Marcos I
%A Martín-Loeches, Ignacio
%A SEMICYUC/GETGAG Working Group
%T Procalcitonin (PCT) levels for ruling-out bacterial coinfection in ICU patients with influenza: A CHAID decision-tree analysis.
%D 2015
%U http://hdl.handle.net/10668/9678
%X 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.
%K CHAID analysis
%K Community-acquired pneumonia
%K Influenza A(H1N1)pmd
%K Procalcitonin
%K Prognosis
%K Respiratory coinfection
%K Septic shock
%~