Composite Pulmonary Embolism Shock Score and Risk of Adverse Outcomes in Patients With Pulmonary Embolism.
Academic Article
Overview
abstract
BACKGROUND: In hemodynamically stable patients with acute pulmonary embolism (PE), the Composite Pulmonary Embolism Shock (CPES) score predicts normotensive shock. However, it is unknown if CPES predicts adverse clinical outcomes. The objective of this study was to determine whether the CPES score predicts in-hospital mortality, resuscitated cardiac arrest, or hemodynamic deterioration. METHODS: Patients with acute intermediate-risk PE admitted from October 2016 to July 2019 were included. CPES was calculated for each patient. The primary outcome was a composite of in-hospital mortality, resuscitated cardiac arrest, or hemodynamic decompensation. Secondary outcomes included individual components of the primary outcome. The association of CPES with primary and secondary outcomes was evaluated. RESULTS: Among the 207 patients with intermediate-risk PE (64.7% with intermediate-high risk PE), 29 (14%) patients had a primary outcome event. In a multivariable model, a higher CPES score was associated with a worse primary composite outcome (adjusted hazard ratio [aHR], 1.81 [95% CI, 1.29-2.54]; P=0.001). Moreover, a higher CPES score predicted death (aHR, 1.76 [95% CI, 1.04-2.96]; P=0.033), resuscitated cardiac arrest (aHR, 1.99 [95% CI, 1.17-3.38]; P=0.011), and hemodynamic decompensation (aHR, 1.96 [95% CI, 1.34-2.89]; P=0.001). A high CPES score (≥3) was associated with the worse primary outcome when compared with patients with a low CPES score (22% versus 2.4%; P=0.003; aHR, 6.48 [95% CI, 1.49-28.04]; P=0.012). CPES score provided incremental prognostic value for the prediction of primary outcome over baseline demographics and European Society of Cardiology intermediate-risk subcategories (global Χ2 value increased from 0.63 to 1.39 to 13.69; P=0.005). CONCLUSIONS: In patients with acute intermediate-risk PE, the CPES score effectively risk stratifies and prognosticates patients for the prediction of clinical events and provides incremental value over baseline demographics and European Society of Cardiology intermediate-risk subcategories.
