| Autor: |
Noto D., Canino B., Vieni S., Graceffa G., Paterno V., Hopps E., Fertitta E., Tinaglia M., Brocato F., Giammanco A., Urso C., Cardella A., Averna M., Squatrito R. |
| Přispěvatelé: |
Noto D., Canino B., Vieni S., Graceffa G., Paterno V., Hopps E., Fertitta E., Tinaglia M., Brocato F., Giammanco A., Urso C., Cardella A., Averna M., Squatrito R. |
| Jazyk: |
angličtina |
| Rok vydání: |
2016 |
| Předmět: |
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| Popis: |
Objective: 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.Methods: 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.Results: 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= |
| Databáze: |
OpenAIRE |
| Externí odkaz: |
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