Volumetric capnography as a screening test for pulmonary embolism in the emergency department.

STUDY OBJECTIVE To compare the diagnostic performance of volumetric capnography (VCap), which is the plot of the expired CO(2) partial pressure against the expired volume during a single breath, with the PaCO(2) to end-tidal CO(2) (EtCO(2)) gradient, in the case of suspected pulmonary embolism (PE). DESIGN Single-center, prospective study. SETTING Emergency department of a teaching hospital. PATIENTS A total of 45 outpatients with positive enzyme-linked immunosorbent assay d-dimer levels of > 500 ng/mL. The diagnosis of PE was confirmed in 18 outpatients according to a validated procedure based on the ventilation-perfusion lung scan and/or spiral CT scanning. INTERVENTIONS Curves of VCap were obtained from a compact monitor connected to a computer. A sequence of four to six stable breaths allowed the calculation of the following several variables: alveolar dead space fraction; the ratio of alveolar dead space (VDalv) to airway dead space (VDaw); the VDalv to physiologic dead space (VDphys) fraction; the slope of phase 3; and the late dead space fraction (Fdlate) corresponding to the extrapolation of the capnographic curve to a volume of 15% of the predicted total lung capacity. RESULTS The mean (+/- SD) PaCO(2)-EtCO(2) gradient was 5.3 +/- 0.7 mm Hg in the PE-positive group and 2.8 +/- 0.7 mm Hg in the PE-negative group (p = 0.019). Four variables of the VCap exhibited a statistical difference between both groups, as follows: the VDalv/VDaw fraction(;) the slope of phase 3; the VDalv/VDphys fraction; and the Fdlate, which was 8.2 +/- 3.3% vs -7.7 +/- 2.8%, respectively (p = 0.000011). The diagnostic performance expressed as the mean area under a receiver operating characteristic curve comparison was 75.9 +/- 7.4% for the PaCO(2)-EtCO(2) gradient and 87.6 +/- 4.9% for the Fdlate (p = 0.02). CONCLUSION Fdlate, a variable of VCap, had a statistically better diagnostic performance in suspected PE than the PaCO(2)-EtCO(2) gradient. VCap is a promising computer-assisted bedside application of pulmonary pathophysiology. Future research should define the place of this technique in the diagnostic workup of PE, especially in the presence of positive d-dimers.

[1]  P. Wells,et al.  Steady-state end-tidal alveolar dead space fraction and D-dimer: bedside tests to exclude pulmonary embolism. , 2001, Chest.

[2]  J. Burgess Diagnosis of pulmonary embolism based upon alveolar dead space analysis , 1990 .

[3]  C J Carter,et al.  Diagnostic value of ventilation-perfusion lung scanning in patients with suspected pulmonary embolism. , 1985, Chest.

[4]  D. Julian,et al.  A physiologic approach to the diagnosis of acute pulmonary embolism. , 1959, New England Journal of Medicine.

[5]  Olsson,et al.  Diagnosis of pulmonary embolism by measurement of alveolar dead space , 1998, Journal of internal medicine.

[6]  D. Slosman,et al.  D-dimer testing for suspected pulmonary embolism in outpatients. , 1997, American journal of respiratory and critical care medicine.

[7]  J. Johanning,et al.  Evaluation of suspected pulmonary embolism utilizing end-tidal CO2 and D-dimer. , 1999, American journal of surgery.

[8]  G. Grunkemeier,et al.  Receiver operating characteristic curve analysis of clinical risk models. , 2001, The Annals of thoracic surgery.

[9]  J. Kline,et al.  Alveolar dead space as a predictor of severity of pulmonary embolism. , 2000, Academic emergency medicine : official journal of the Society for Academic Emergency Medicine.

[10]  J. Kline,et al.  Preliminary study of the capnogram waveform area to screen for pulmonary embolism. , 1998, Annals of emergency medicine.

[11]  M. Stein,et al.  Re-emergence of an "orphan" test for pulmonary embolism. , 2001, Chest.

[12]  L Hatle,et al.  The arterial to end-expiratory carbon dioxide tension gradient in acute pulmonary embolism and other cardiopulmonary diseases. , 1974, Chest.

[13]  J. Kline,et al.  Diagnostic accuracy of a bedside D-dimer assay and alveolar dead-space measurement for rapid exclusion of pulmonary embolism: a multicenter study. , 2001, JAMA.

[14]  A. Schoutens,et al.  Value of measurement of alveolo-arterial gradient of Pco2 compared to pulmonary scan in diagnosis of thromboembolic pulmonary disease 1 , 1973, Thorax.

[15]  M Gent,et al.  Use of a Clinical Model for Safe Management of Patients with Suspected Pulmonary Embolism , 1998, Annals of Internal Medicine.

[16]  J. Kline,et al.  Use of the alveolar dead space fraction (Vd/Vt) and plasma D-dimers to exclude acute pulmonary embolism in ambulatory patients. , 1997, Academic emergency medicine : official journal of the Society for Academic Emergency Medicine.

[17]  A. Libunao Bedside noninvasive detection of acute pulmonary embolism in critically ill surgical patients , 2000 .

[18]  N L Müller,et al.  Pulmonary embolism: prospective comparison of spiral CT with ventilation-perfusion scintigraphy. , 1997, Radiology.

[19]  N. Burki The dead space to tidal volume ratio in the diagnosis of pulmonary embolism. , 1986, The American review of respiratory disease.

[20]  Mei-Ling Ting Lee,et al.  The average area under correlated receiver operating characteristic curves : a nonparametric approach based on generalized two-sample Wilcoxon statistics , 2001 .

[21]  D. Nutter,et al.  The arterial-alveolar carbon dioxide tension gradient in diagnosis of pulmonary embolus. , 1966, Diseases of the chest.

[22]  C. Elliott,et al.  Pulmonary physiology during pulmonary embolism. , 1992, Chest.

[23]  B. Rowe,et al.  The accuracy of the enzyme-linked immunosorbent assay D-dimer test in the diagnosis of pulmonary embolism: a meta-analysis. , 2002, Annals of emergency medicine.

[24]  R Fletcher,et al.  The concept of deadspace with special reference to the single breath test for carbon dioxide. , 1981, British journal of anaesthesia.

[25]  R Fletcher Deadspace, invasive and non-invasive. , 1985, British journal of anaesthesia.

[26]  D. Slosman,et al.  Non-invasive diagnosis of venous thromboembolism in outpatients , 1999, The Lancet.

[27]  J. Kline,et al.  Neural network analysis of the volumetric capnogram to detect pulmonary embolism. , 1999, Chest.

[28]  J. Hanley Receiver operating characteristic (ROC) methodology: the state of the art. , 1989, Critical reviews in diagnostic imaging.

[29]  P. de Moerloose,et al.  Contribution of a New, Rapid, Individual and Quantitative Automated D-Dimer ELISA to Exclude Pulmonary Embolism , 1996, Thrombosis and Haemostasis.