Diagnostic accuracy and reproducibility of pleural and lung ultrasound in discriminating cardiogenic causes of acute dyspnea in the Emergency Department

被引:0
|
作者
Gian Alfonso Cibinel
Giovanna Casoli
Fabrizio Elia
Monica Padoan
Emanuele Pivetta
Enrico Lupia
Alberto Goffi
机构
[1] ASL TO3,Emergency Medicine Unit
[2] ASL TO1 - Ospedale Martini,Emergency Medicine Unit
[3] ASL TO2 - Ospedale Giovanni Bosco,Emergency Medicine Unit
[4] University of Turin,Department of Clinical Pathophysiology
来源
关键词
Dyspnea; Ultrasonography; Diagnosis;
D O I
暂无
中图分类号
学科分类号
摘要
Dyspnea is a common symptom in patients admitted to the Emergency Department (ED), and discriminating between cardiogenic and non-cardiogenic dyspnea is often a clinical dilemma. The initial diagnostic work-up may be inaccurate in defining the etiology and the underlying pathophysiology. The aim of this study was to evaluate the diagnostic accuracy and reproducibility of pleural and lung ultrasound (PLUS), performed by emergency physicians at the time of a patient’s initial evaluation in the ED, in identifying cardiac causes of acute dyspnea. Between February and July 2007, 56 patients presenting to the ED with acute dyspnea were prospectively enrolled in this study. In all patients, PLUS was performed by emergency physicians with the purpose of identifying the presence of diffuse alveolar-interstitial syndrome (AIS) or pleural effusion. All scans were later reviewed by two other emergency physicians, expert in PLUS and blinded to clinical parameters, who were the ultimate judges of positivity for diffuse AIS and pleural effusion. A random set of 80 recorded scannings were also reviewed by two inexperienced observers to assess inter-observer variability. The entire medical record was independently reviewed by two expert physicians (an emergency medicine physician and a cardiologist) blinded to the ultrasound (US) results, in order to determine whether, for each patient, dyspnea was due to heart failure, or not. Sensitivity, specificity, and positive/negative predictive values were obtained; likelihood ratio (LR) test was used. Cohen’s kappa was used to assess inter-observer agreement. The presence of diffuse AIS was highly predictive for cardiogenic dyspnea (sensitivity 93.6%, specificity 84%, positive predictive value 87.9%, negative predictive value 91.3%). On the contrary, US detection of pleural effusion was not helpful in the differential diagnosis (sensitivity 83.9%, specificity 52%, positive predictive value 68.4%, negative predictive value 72.2%). Finally, the coexistence of diffuse AIS and pleural effusion is less accurate than diffuse AIS alone for cardiogenic dyspnea (sensitivity 81.5%, specificity 82.8%, positive predictive value 81.5%, negative predictive value 82.8%). The positive LR was 5.8 for AIS [95% confidence interval (CI) 4.8–7.1] and 1.7 (95% CI 1.2–2.6) for pleural effusion, negative LR resulted 0.1 (95% CI 0.0–0.4) for AIS and 0.3 (95% CI 0.1–0.8) for pleural effusion. Agreement between experienced and inexperienced operators was 92.2% (p < 0.01) and 95% (p < 0.01) for diagnosis of AIS and pleural effusion, respectively. In early evaluation of patients presenting to the ED with dyspnea, PLUS, performed with the purpose of identifying diffuse AIS, may represent an accurate and reproducible bedside tool in discriminating between cardiogenic and non-cardiogenic dyspnea. On the contrary, US detection of pleural effusions does not allow reliable discrimination between different causes of acute dyspnea in unselected ED patients.
引用
收藏
页码:65 / 70
页数:5
相关论文
共 50 条
  • [31] Diagnostic and prognostic value of uric acid in patients with acute dyspnea presenting to the emergency department
    Reichlin, T.
    Potocki, M.
    Breidthardt, T.
    Laule, K.
    Noveanu, M.
    Hochholzer, W.
    Stelzig, C.
    Boldanova, T.
    Mueller, C.
    EUROPEAN HEART JOURNAL, 2008, 29 : 52 - 52
  • [32] Using lung ultrasound to differentiate patients in acute dyspnea in the prehospital emergency setting
    Rempell, Joshua S.
    Noble, Vicki E.
    CRITICAL CARE, 2011, 15 (03):
  • [33] Accuracy of ultrasound for the diagnosis of acute appendicitis in the emergency department: A systematic review
    Cho, Sung Uk
    Oh, Se Kwang
    MEDICINE, 2023, 102 (13) : E33397
  • [34] Using lung ultrasound to differentiate patients in acute dyspnea in the prehospital emergency setting
    Joshua S Rempell
    Vicki E Noble
    Critical Care, 15
  • [35] Lung ultrasound is an accurate diagnostic tool for the diagnosis of pneumonia in the emergency department
    Cortellaro, Francesca
    Colombo, Silvia
    Coen, Daniele
    Duca, Pier Giorgio
    EMERGENCY MEDICINE JOURNAL, 2012, 29 (01) : 19 - 23
  • [36] Bioimpedance Improves the Diagnostic Accuracy for Acute Heart Failure in the Emergency Department
    Tuy, Tertius
    Fiessinger, Lori
    Talati, Asha
    Kim, Jieun
    Peacock, W. Frank
    JOURNAL OF CARDIAC FAILURE, 2011, 17 (08) : S97 - S97
  • [37] The diagnostic accuracy of cardiac ultrasound for acute myocardial ischemia in the emergency department: a systematic review and meta-analysis
    Zarama, Virginia
    Arango-Granados, Maria Camila
    Manzano-Nunez, Ramiro
    Sheppard, James P.
    Roberts, Nia
    Pluddemann, Annette
    SCANDINAVIAN JOURNAL OF TRAUMA RESUSCITATION & EMERGENCY MEDICINE, 2024, 32 (01):
  • [38] The diagnostic accuracy of cardiac ultrasound for acute myocardial ischemia in the emergency department: a systematic review and meta-analysis
    Virginia Zarama
    María Camila Arango-Granados
    Ramiro Manzano-Nunez
    James P. Sheppard
    Nia Roberts
    Annette Plüddemann
    Scandinavian Journal of Trauma, Resuscitation and Emergency Medicine, 32
  • [39] Diagnostic Value and Effect of Bedside Ultrasound in Acute Appendicitis in the Emergency Department
    Gungor, Faruk
    Kilic, Taylan
    Akyol, Kamil Can
    Ayaz, Gizem
    Cakir, Umut Cengiz
    Akcimen, Mehmet
    Eken, Cenker
    ACADEMIC EMERGENCY MEDICINE, 2017, 24 (05) : 578 - 586
  • [40] Causes of diplopia in the emergency department: diagnostic accuracy of clinical assessment and of head computed tomography
    Nazerian, Peiman
    Vanni, Simone
    Tarocchi, Claudia
    Portaccio, Emilio
    Vannucci, Nadia
    Para, Ombretta
    Giannazzo, Giuseppe
    Gigli, Chiara
    Grifoni, Stefano
    EUROPEAN JOURNAL OF EMERGENCY MEDICINE, 2014, 21 (02) : 118 - 124