Volume 92, Issue 2 pp. 366-371
Peripheral Vascular Disease

Electronic cardiac arrest triage score best predicts mortality after intervention in patients with massive and submassive pulmonary embolism

Taishi Hirai MD

Taishi Hirai MD

Department of Medicine, Section of Cardiology, University of Chicago Medical Center, Chicago, Illinois

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Steven Tate MD

Steven Tate MD

Department of Medicine, Section of Cardiology, University of Chicago Medical Center, Chicago, Illinois

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Kathryn Dryer BA

Kathryn Dryer BA

Department of Medicine, Section of Cardiology, University of Chicago Medical Center, Chicago, Illinois

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Deshon Jones

Deshon Jones

Morehouse College, Atlanta, Georgia

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Jonathan Rosenberg MD

Jonathan Rosenberg MD

Department of Medicine, Section of Cardiology, University of Chicago Medical Center, Chicago, Illinois

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Sandeep Nathan MD, MSc

Sandeep Nathan MD, MSc

Department of Medicine, Section of Cardiology, University of Chicago Medical Center, Chicago, Illinois

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Atman P. Shah MD

Atman P. Shah MD

Department of Medicine, Section of Cardiology, University of Chicago Medical Center, Chicago, Illinois

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Kyle Carey MPH

Kyle Carey MPH

Section of Pulmonary Medicine, University of Chicago Medical Center, Chicago, Illinois

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Matthew Churpek MD, MPH, PhD

Matthew Churpek MD, MPH, PhD

Section of Pulmonary Medicine, University of Chicago Medical Center, Chicago, Illinois

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Dana Edelson MD, MS

Dana Edelson MD, MS

Section of General Internal Medicine, University of Chicago Medical Center, Chicago, Illinois

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Janet Friant APN

Janet Friant APN

Department of Medicine, Section of Cardiology, University of Chicago Medical Center, Chicago, Illinois

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Jonathan Paul MD

Jonathan Paul MD

Department of Medicine, Section of Cardiology, University of Chicago Medical Center, Chicago, Illinois

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John E. A. Blair MD

Corresponding Author

John E. A. Blair MD

Department of Medicine, Section of Cardiology, University of Chicago Medical Center, Chicago, Illinois

Correspondence John Blair, MD, Section of Cardiology, Department of Medicine, University of Chicago Pritzker School of Medicine, MC5076, 5841 South Maryland Avenue, Chicago, IL 60637. Email: [email protected]Search for more papers by this author
First published: 10 May 2018
Citations: 2

This data was presented as a poster at Transcatheter Cardiovascular Therapeutics (TCT) October 30, 2016; Washington, DC

Abstract

Objective

To determine if the cardiac arrest triage (CART) Score would better predict poor outcomes after pharmacomechanical therapy (PMT) for massive and submassive pulmonary embolism (PE) than traditional risk scores

Background

PMT for massive and submassive PE allows for clot lysis with minimal doses of fibrinolytics. Although PMT results in improved right ventricular function, and reduced pulmonary pressures and thrombus burden, predictors of poor outcome are not well-studied.

Methods

We conducted a retrospective analysis of all patients who underwent PMT for massive or submassive PE at a single institution from 2010 to 2016. The CART score and electronic CART (eCART) score, derived previously as early warning scores for hospitalized patients, were compared to pulmonary embolism severity index (PESI) comparing the area under the receiver-operator characteristic curve (AUC) for predicting 30-day mortality.

Results

We studied 61 patients (56 ±17 years, 44.0% male, 29.5% massive PE, mean PESI 114.6 ± 42.7, mean CART 13.5 ± 1.39, mean eCART 108.5 ± 28.6). Thirty-day mortality was 24.6%. Treatments included rheolytic thrombectomy (32.7%), catheter-directed thrombolysis (50.8%), ultrasound-assisted thrombolysis (32.7%), and mechanical thrombectomy (4.9%). There were no differences in outcome based on technique. The eCART and CART scores had higher AUCs compared to PESI in predicting 30-day mortality (0.84 vs 0.72 vs 0.69, P = .010). We found troponin I and pro-BNP were higher in higher eCART tertiles, however AUCs were 0.51 and 0.63, respectively for 30-day mortality when used as stand-alone predictors.

Conclusion

Compared to PESI score, CART and eCART scores better predict mortality in massive or submassive PE patients undergoing PMT.

CONFLICT OF INTERESTS

The authors have no conflicts of interest to report.

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