RT journal article
T1 Malignant Pleural Effusion Risk Based On A Novel Tool Using Homocysteine And Carcinoembryonic Antigen In Pleural Fluid: A Multicenter Study
A1 Santotoribio, Jose D.
A1 Corral Pérez, Juan
A1 Nuñez Jurado, David
A1 Fatela Cantillo, Daniel
A1 García de la Torre, Ángela
A1 Orantes Maroto, Gabirel
A1 Del Valle Vázquez, Luis
A1 Del Castillo Otero, Daniel
A1 Maira González, María Nieves
A1 Cobos Diaz, Andrés
A1 Juan M, Guerrero
A1 López Sáez, José Juan Bosco
A2 Didáctica de la Educación FísicaPlástica y Musical
AB IntroductionThis multicenter study aimed to evaluate the Malignant Pleural Effusion Risk (MPER) diagnostic accuracy in distinguishing between benign and malign pleural effusion. Methods: MPER is based on pleural fluid Homocysteine (HCY) and carcinoembryonic antigen (CEA) that were measured using three different methods. MPER was calculated by assessing a previously published probabilistic model: Probability (%) = 100× (1 + e-z)-1, where Z = 0.5471 × [HCY] + 0.3846 × [CEA]–8.2671.ResultsA total of 301 patients were included (140 MPE). MPER demonstrated a high AUC (0.891), sensitivity (84.3 %), and specificity (80.7 %) with a cut-off > 35.3 %.ConclusionsThe MPER model demonstrated a high diagnostic accuracy supporting its use as a novel and powerful tool.IntroductionThis multicenter study aimed to evaluate the Malignant Pleural Effusion Risk (MPER) diagnostic accuracy in distinguishing between benign and malign pleural effusion. Methods: MPER is based on pleural fluid Homocysteine (HCY) and carcinoembryonic antigen (CEA) that were measured using three different methods. MPER was calculated by assessing a previously published probabilistic model: Probability (%) = 100× (1 + e-z)-1, where Z = 0.5471 × [HCY] + 0.3846 × [CEA]–8.2671.ResultsA total of 301 patients were included (140 MPE). MPER demonstrated a high AUC (0.891), sensitivity (84.3 %), and specificity (80.7 %) with a cut-off > 35.3 %.ConclusionsThe MPER model demonstrated a high diagnostic accuracy supporting its use as a novel and powerful tool.
PB Elsevier
SN 1873-2933
YR 2024
FD 2024
LK http://hdl.handle.net/10498/34336
UL http://hdl.handle.net/10498/34336
LA eng
DS Repositorio Institucional de la Universidad de Cádiz
RD 07-nov-2026