Clinical study
A structured clinical model for predicting the probability of pulmonary embolism

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Abstract

Purpose

To develop a structured model to predict the clinical probability of pulmonary embolism.

Methods

We studied 1100 consecutive patients with suspected pulmonary embolism in whom a definite diagnosis had been established. We used logistic regression analysis to estimate the probability of pulmonary embolism based on patients’ clinical characteristics; the probability was categorized as low (≤10%), intermediate (>10%, ≤50%), moderately high (>50%, ≤90%), or high (>90%).

Results

The overall prevalence of pulmonary embolism was 40% (n = 440). Ten characteristics were associated with an increased risk of pulmonary embolism (male sex, older age, history of thrombophlebitis, sudden-onset dyspnea, chest pain, hemoptysis, electrocardiographic signs of acute right ventricular overload, radiographic signs of oligemia, amputation of the hilar artery, and pulmonary consolidation suggestive of infarction), and five were associated with a decreased risk (prior cardiovascular or pulmonary disease, high fever, pulmonary consolidation other than infarction, and pulmonary edema on the chest radiograph). With this model, 432 patients (39%) were rated a low probability, of whom 19 (4%) had pulmonary embolism; 283 (26%) were rated an intermediate probability, of whom 62 (22%) had pulmonary embolism; 72 (7%) were rated a moderately high probability, of whom 53 (74%) had pulmonary embolism; and 313 (28%) were rated a high probability, of whom 306 (98%) had pulmonary embolism.

Conclusion

This prediction model may be useful for estimating the probability of pulmonary embolism before obtaining definitive test results.

Section snippets

Sample

The sample consisted of 1100 consecutive patients who were referred to our institution for suspected pulmonary embolism between November 1, 1991, and December 31, 1999, and in whom the disease was diagnosed or excluded. The clinical characteristics of 500 of these patients have been described (8). All patients were examined according to a standardized protocol that included clinical evaluation, perfusion lung scanning, and pulmonary angiography 5, 8.

Clinical evaluation

Upon study entry, patients were examined by

Results

The 1100 patients had a median age of 68 years (range, 15 to 94 years); 498 (45%) of them were male (Table 1). Eighty-one percent (n = 891) were hospitalized at the time of study entry. The median time between onset of symptoms and study entry was 1 day (range, 0 to 30 days). Based on angiography and autopsy data, the prevalence of pulmonary embolism was 40% (n = 440). Among patients without pulmonary embolism, 242 had the diagnosis excluded based on a normal or near-normal perfusion scan.

Discussion

The results of large-scale prospective studies of the diagnosis of pulmonary embolism lend support to the concept that clinical assessment is a fundamental step in the diagnostic work-up of patients 4, 5, 6. Although the diagnostic yield of individual signs, symptoms, and common laboratory tests is limited, the combination of these variables, either by empirical assessment or by a prediction rule, can be used to express the clinical probability of pulmonary embolism.

In a multicenter Canadian

Acknowledgements

The authors wish to thank the following physicians who took part in the study: Renato Prediletto, Bruno Formichi, Giorgio Di Ricco, Carlo Marini, Massimo Pistolesi, Germana Allescia, Lucia Tonelli, Carolina Bauleo, Laura Carrozzi, Giosuè Catapano, Luigi Rizzello, Alba Dainelli, and Elvio Scoscia.

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This work was supported in part by the Ministry of Health and the Ministry of University and Scientific and Technological Research of Italy.

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