Journal List > Tuberc Respir Dis > v.64(4) > 1001214

Park, Choi, Min, Park, Chae, Jeon, Yu, Kim, Kim, and Ko: Assessment of Two Clinical Prediction Models for a Pulmonary Embolism in Patients with a Suspected Pulmonary Embolism

Abstract

Background

Estimation of the probability of a patient having an acute pulmonary embolism (PE) for patients with a suspected PE are well established in North America and Europe. However, an assessment of the prediction rules for a PE has not been clearly defined in Korea. The aim of this study is to assess the prediction rules for patients with a suspected PE in Korea.

Methods

We performed a retrospective study of 210 inpatients or patients that visited the emergency ward with a suspected PE where computed tomography pulmonary angiography was performed at a single institution between January 2005 and March 2007. Simplified Wells rules and revised Geneva rules were used to estimate the clinical probability of a PE based on information from medical records.

Results

Of the 210 patients with a suspected PE, 49 (19.5%) patients had an actual diagnosis of a PE. The proportion of patients classified by Wells rules and the Geneva rules had a low probability of 1% and 21%, an intermediate probability of 62.5% and 76.2%, and a high probability of 33.8% and 2.8%, respectively. The prevalence of PE patients with a low, intermediate and high probability categorized by the Wells rules and Geneva rules was 100% and 4.5% in the low range, 18.2% and 22.5% in the intermediate range, and 19.7% and 50% in the high range, respectively. Receiver operating characteristic curve analysis showed that the revised Geneva rules had a higher accuracy than the Wells rules in terms of detecting PE. Concordance between the two prediction rules was poor (κ coefficient=0.06).

Conclusion

In the present study, the two prediction rules had a different predictive accuracy for pulmonary embolisms. Applying the revised Geneva rules to inpatients and emergency ward patients suspected of having PE may allow a more effective diagnostic process than the use of the Wells rules.

Figures and Tables

Figure 1
Comparison of the predictive accuracy of the two methods for pulmonary embolism. (A) Specificity and sensitivity of Wells score, (B) Sensitivity and specificity of revised Geneva score.
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Figure 2
ROC curve (Receiver Operating Characteristic curve) of Wells scoreand revised Geneva score. Area under the ROC curve=0.56 (95% CI: 0.46 to 0.66) for Wells score, area under the ROC curve=0.64 (95% CI: 0.55 to 0.73) for revised Geneva score.
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Table 1
General characteristics of 210 patients
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PE: pulmonary embolism; DVT: deep vein thrombosis.

Table 2
Clinical and laboratory findings of 210 patients
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Values are mean±SD.

PE: pulmonary embolism.

Table 3
Proportions of patients and frequency of pulmonary embolism in the two clinical probabilities
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*The denominators for the percentages can be found in the first tree rows of the table.

Table 4
Concordance of clinical probability category assignment by the Geneva and the Wells scores
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κ coefficient=0.06.

Table 5
Accuracy of clinical prediction rules for pulmonary embolism in previous study and this study
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PE: pulmonary embolism.

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