Related Experiment Video
Updated: Jan 3, 2026

Establishment of a Minimally Invasive Rat Model of Pulmonary Embolism Using Autologous Blood Clots
Published on: October 25, 2024
Usefulness of predictive models of pulmonary embolism
Luis Carlos García-Gómez1, Luis Castilla-Guerra1, Juan de la Vega-Sánchez1
1Servicio de Medicina Interna, Hospital Universitario Virgen Macarena, Sevilla, España.
Background:
Faced with the suspicion of pulmonary embolism (PE), the guidelines recommend the use of clinical probability scales, measurement of D-dimer and, in certain cases, confirmation by pulmonary angiography by computed tomography (CTPA) or scintigraphy. Recently, it has been proposed to adjust the D-dimer according to age or use simpler scales (YEARS algorithm) for a better selection of patients.
Objective:
To define the degree of application of the guidelines in our population and compare sensitivity, specificity and positive and negative predictive values of the different diagnostic models: Standard model (Wells 2 categories+D-dimer), Model adjusted for age (Wells 2 categories+D-dimer adjusted for age), YEARS algorithm.
Material And Methods:
A retrospective study of all patients who underwent APTC at our centre for the diagnosis of PE over one year.
Results:
Of 618 cases (85.4% of initial APTC), 544 patients were included. A total of 113 EPs were diagnosed (20.8%). The degree of application of the standard model was very high (90.1%) and proved to have the best sensitivity and negative predictive value ratio (sensitivity=1.0, negative predictive value=1.0). The new models could reduce the number of scans (17, 3.2% model adjusted for age and 48, 8.8% model YEARS) with a risk of false negatives (2 PE [1.8%] undiagnosed respectively).
Conclusions:
The current diagnostic models for PE lead to a large number of unnecessary explorations. The new models could reduce the number of APTC although with a minimum risk of false negatives.
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