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Clinical Trial
. 2018 Dec;24(9_suppl):277S-284S.
doi: 10.1177/1076029618808922. Epub 2018 Oct 28.

A New Model for Risk Stratification of Patients With Acute Pulmonary Embolism

Affiliations
Clinical Trial

A New Model for Risk Stratification of Patients With Acute Pulmonary Embolism

Wei-Ying Jen et al. Clin Appl Thromb Hemost. 2018 Dec.

Abstract

Pulmonary embolism (PE) is associated with mortality. There are many clinical prediction tools to predict early mortality in acute PE but little consensus on which is best. Our study aims to validate existing prediction tools and derive a predictive model that can be applied to all patients with acute PE in both inpatient and outpatient settings. This is a retrospective cohort study of patients with acute PE. For each patient, the Pulmonary Embolism Severity Index (PESI), simplified PESI (sPESI), European Society of Cardiology (ESC), and Angriman scores were calculated. Scores were assessed by the area under the receive-operating curve (AUC) for 30-day, all-cause mortality. To develop a new prognostic model, elastic logistic regression was used on the derivation cohort to estimate β-coefficients of 8 different variables; these were normalized to weigh them. A total of 321 patients (mean age 60±17 years) were included. Overall 30-day mortality was 10.3%. None of the scores performed well; the AUCs for the PESI, sPESI, ESC, and Angriman scores were 0.67 (95% confidence interval [CI], 0.57-0.77), 0.58 (0.48-0.69), 0.65 (0.55-0.75), and 0.67 (0.57-0.76), respectively. Our new prediction model outperformed PESI, with an AUC of 0.82 (95% CI, 0.76-0.88). At a cutoff score of 100, 195 (60.1%) patients were classified as low risk. Thirty-day mortality was 2.1% (95% CI, 0.8%-5.2%) and 23.0% (16.5%-31.1%) for low- and high-risk groups, respectively (P < .001). In conclusion, we have developed a new model that outperforms existing prediction tools in all comers with PE. However, further validation on external cohorts is required before application.

Keywords: pulmonary embolism; risk stratification; thrombosis.

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Conflict of interest statement

Declaration of Conflicting Interests: The author(s) declared no potential conflicts of interest with respect to the research, authorship, and/or publication of this article.

Figures

Figure 1.
Figure 1.
(A) The receiver–operating characteristic (ROC) curves for 30-day mortality for all patients. (B) ROC curves for 30-day mortality for outpatients. (C) Comparison of AUC values for 30-day mortality in all patients. (D) Comparison of AUC values for 30-day mortality in outpatients.

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