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dc.contributor.author | Rodríguez, Alejandro H. |
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dc.contributor.author | Avilés Jurado, Francesc X. |
dc.contributor.author | Díaz, Emili |
dc.contributor.author | Schuetz, Philipp |
dc.contributor.author | Trefler, Sandra I. |
dc.contributor.author | Solé Violán, Jordi |
dc.contributor.author | Cordero, Lourdes |
dc.contributor.author | Vidaur, Loreto |
dc.contributor.author | Estella, Ángel |
dc.contributor.author | Pozo Laderas, Juan C. |
dc.contributor.author | Socias, Lorenzo |
dc.contributor.author | Vergara, Juan C. |
dc.contributor.author | Zaragoza, Rafael |
dc.contributor.author | Bonastre, Juan |
dc.contributor.author | Guerrero, José Eugenio |
dc.contributor.author | Suberviola, Borja |
dc.contributor.author | Cillóniz, Catia |
dc.contributor.author | Restrepo, Marcos I. |
dc.contributor.author | Martín Loeches, Ignacio |
dc.contributor.author | SEMICYUC/GETGAG Working Group |
dc.date | 2019-11-12T11:15:05Z |
dc.date | 2019-11-12T11:15:05Z |
dc.date | 2016-02 |
dc.date | 2019-11-12T11:15:06Z |
dc.identifier | 0163-4453 |
dc.identifier | 673758 |
dc.identifier | 2804716 |
dc.identifier | 26702737 |
dc.identifier.uri | http://hdl.handle.net/2445/144567 |
dc.description | Objectives: To define which variables upon ICU admission could be related to the presence of coinfection using CHAID (Chi-squared Automatic Interaction Detection) analysis. Methods: 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. Results: Of the 972 patients included, 196 (20.3%) had coinfection. Procalcitonin (PCT; ng/mL 2.4 vs. 0.5, p < 0.001), but not C-reactive protein (CRP; mg/dL 25 vs. 38.5; p = 0.62) was higher in patients with coinfection. In CHAID analyses, PCT was the most important variable for coinfection. PCT <0.29 ng/mL showed high sensitivity (Se = 88.2%), low Sp (33.2%) and high negative predictive value (NPV = 91.9%). The absence of shock improved classification capacity. Thus, for PCT <0.29 ng/mL, the Se was 84%, the Sp 43% and an NPV of 94% with a post-test probability of coinfection of only 6%. Conclusion: 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. |
dc.format | 9 p. |
dc.format | application/pdf |
dc.language | eng |
dc.publisher | Elsevier |
dc.relation | Versió postprint del document publicat a: https://doi.org/10.1016/j.jinf.2015.11.007 |
dc.relation | Journal of Infection, 2016, vol. 72, num. 2, p. 143-151 |
dc.relation | https://doi.org/10.1016/j.jinf.2015.11.007 |
dc.rights | cc-by-nc-nd (c) The British Infection Association, 2016 |
dc.rights | http://creativecommons.org/licenses/by-nc-nd/3.0/es |
dc.rights | info:eu-repo/semantics/openAccess |
dc.subject | Influenzavirus |
dc.subject | Pèptids |
dc.subject | Influenza viruses |
dc.subject | Peptides |
dc.title | Procalcitonin (PCT) levels for ruling-out bacterial coinfection in ICU patients with influenza: A CHAID decision-tree analysis |
dc.type | info:eu-repo/semantics/article |
dc.type | info:eu-repo/semantics/acceptedVersion |