Receiver operating curve (ROC) analyses to evaluate the ability of clinical and laboratory data to predict discharge during the first week

Trujillo-Rodríguez, María; Muñoz-Muela, Esperanza; Serna, Ana; Praena-Segovia, Julia; Pérez-Gómez, Alberto; Gasca-Capote, María del Carmen; Vitallé, Joana; Peraire, Joaquim; Palacios-Baena, Zaira Raquel; Cabrera-Alvar, Jorge Julio; Ruiz-Mateos, Ezequiel; Poveda, Eva; López-Cortés, Luis Eduardo; Rull, Anna; Gutiérrez Valencia, Alicia; López-Cortés, Luis F.

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Título:	Receiver operating curve (ROC) analyses to evaluate the ability of clinical and laboratory data to predict discharge during the first week
Autor:	Trujillo-Rodríguez, María CSIC; Muñoz-Muela, Esperanza CSIC; Serna, Ana CSIC ORCID; Praena-Segovia, Julia CSIC ORCID; Pérez-Gómez, Alberto CSIC ORCID; Gasca-Capote, María del Carmen CSIC; Vitallé, Joana CSIC ORCID; Peraire, Joaquim; Palacios-Baena, Zaira Raquel CSIC ORCID; Cabrera-Alvar, Jorge Julio; Ruiz-Mateos, Ezequiel CSIC ORCID; Poveda, Eva; López-Cortés, Luis Eduardo; Rull, Anna; Gutiérrez Valencia, Alicia CSIC ORCID; López-Cortés, Luis F. CSIC ORCID
Fecha de publicación:	14-jul-2022
Editor:	Figshare
Citación:	Trujillo-Rodríguez, María; Muñoz-Muela, Esperanza; Serna, Ana; Praena-Segovia, Julia; Pérez-Gómez, Alberto; Gasca-Capote, María del Carmen; Vitallé, Joana; Peraire, Joaquim; Palacios-Baena, Zaira Raquel; Cabrera-Alvar, Jorge Julio; Ruiz-Mateos, Ezequiel; Poveda, Eva; López-Cortés, Luis Eduardo; Rull, Anna; Gutiérrez Valencia, Alicia; López-Cortés, Luis F.; 2022; Receiver operating curve (ROC) analyses to evaluate the ability of clinical and laboratory data to predict discharge during the first week [Dataset]; Figshare; https://doi.org/10.1371/journal.pone.0269875.s004
Resumen:	AUC, area under the curve; SE, sensitivity; S, specificity; PPV, positive predictive value; NPV, negative predictive value. SpO2, peripheral capillary oxygen saturation; CRP, C-reactive protein; LDH, Lactate dehydrogenase; NLR, neutrophil/lymphocyte ratio; TNF-α; tumor necrosis factor α; IL-6, interleukine-6; IL-8, interleukine-8; IL-1β, interleukine-1β; MIP-1β, macrophage inflammatory proteins 1β; sCD25, soluble receptor interleukine-2; IP-10, interferon γ-induced protein 10.
Versión del editor:	https://doi.org/10.1371/journal.pone.0269875.s004
URI:	http://hdl.handle.net/10261/331507
DOI:	10.1371/journal.pone.0269875.s004
Referencias:	Trujillo-Rodríguez, María; Muñoz-Muela, Esperanza; Serna, Ana; Praena-Segovia, Julia; Pérez-Gómez, Alberto; Gasca-Capote, María del Carmen; Vitallé, Joana; Peraire, Joaquim; Palacios-Baena, Zaira Raquel; Cabrera-Alvar, Jorge Julio; Ruiz-Mateos, Ezequiel; Poveda, Eva; López-Cortés, Luis Eduardo; Rull, Anna; Gutiérrez Valencia, Alicia; López-Cortés, Luis F. Clinical, laboratory data and inflammatory biomarkers at baseline as early discharge predictors in hospitalized SARS-CoV-2 infected patients. https://doi.org/10.1371/journal.pone.0269875 . http://hdl.handle.net/10261/280530
Aparece en las colecciones:	(IBIS) Conjuntos de datos (PTI Salud Global) Colección Especial COVID-19