TY - JOUR T1 - Pulmonary embolism in an emergency care unit of Southern Italy: Evaluation of predictive factors from clinical history and physical exam JF - European Respiratory Journal JO - Eur Respir J DO - 10.1183/13993003.congress-2016.PA356 VL - 48 IS - suppl 60 SP - PA356 AU - Baldassare Canino AU - Davide Noto AU - Vincenzo PaternĂ² AU - Emanuela Fertitta AU - Eugenia Hopps AU - Francesco Brocato AU - Antonina Giammanco AU - Maurizio Averna AU - Rosario Squatrito Y1 - 2016/09/01 UR - http://erj.ersjournals.com/content/48/suppl_60/PA356.abstract N2 - An early diagnosis of pulmonary embolism (PE) improves outcome. Therefore, PE should be diagnosed in Emergency Care Units (ECU) at admission. Clinical algorithms support the clinician in this task, although performance is biased by differences in risk factors prevalent in different populations. The clinical conditions predictive of PE were evaluated in subjects from Southern Italy accessing ECU for dyspnea/chest pain. Retrospective clinical data were obtained by electronic retrieving from a hospital database. Data from 8177 patients (age 18-90 years, 54 with PE) were collected from years 2007-2013. Previous history of PE, thrombosis and/or phlebitis, rheumatic diseases, respiratory failure, low blood pressure, pulse oxymetry rate (SpO2) and high heart rate were associated with PE diagnosis. High white blood count with neutrophilia, C reactive protein, D-dimer, NT-pro-BNP determinations, but not troponin T, were associated with PE. Recalibration of the GENEVA score and its modification, by inclusion of novel risk factors, improved the algorithm performance (GENEVA AROC=0.730, modified GENEVA AROC = 0.792, DeLong's test p = <0.001). PE risk factors in a large Sicilian sample are similar to those of other populations. Data from clinical history and clinical features present at admission were used to recalibrate the PE diagnostic algorithm showing that PE predictive power improved by fitting local data into the predictive model. ER -