肺栓塞
体检
体格检查
医学
急诊科
临床病史
病史
单位(环理论)
重症监护医学
内科学
心理学
精神科
数学教育
作者
Maurizio Averna,Baldassare Canino,Caterina Urso,Giuseppa Graceffa,Eugenia Hopps,Antonina Giammanco,Salvatore Vieni,Emanuela Fertitta,Martino Tinaglia,Vincenzo Paternò,Francesco Brocato,Rosario Squatrito,Antonella Maria Cardella,Davide Noto,Vincenzo Paternò
出处
期刊:Nova Science Publishers, Inc. - Nova Science Publishers
日期:2016-01-01
卷期号:32 (6): 1857-1863
标识
DOI:10.19193/0393-6384_2016_6_174
摘要
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=<0.001).Conclusions: 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.
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