ArticlePloS one2021
Development and validation of a prognostic tool: Pulmonary embolism short-term clinical outcomes risk estimation (PE-SCORE).
Article in PloS one, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.
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Who cites it
18 citing papers in PubMed, 33 citations in OpenAlex.
- Global burden of venous thromboembolism: incidence and outcome estimates of deep-vein thrombosis and pulmonary embolism.Nature reviews. Cardiology · 2026Review
- External validation of the PE-SCORE for predicting early clinical deterioration in acute pulmonary embolism using real-world data.Journal of thrombosis and thrombolysis · 2026Article
- Process and outcome evaluation of a regional pulmonary embolism response team.Thrombosis journal · 2025Article
- Cardiac Computed Tomography Measurements in Pulmonary Embolism Associated with Clinical Deterioration.The western journal of emergency medicine · 2025Article
- Emergency Medicine Faculty Utilization of Point-of-Care Ultrasound in the Clinical Setting.Cureus · 2025Article
- The Role of Non-invasive Tests in Pulmonary Embolism.Interventional cardiology (London, England) · 2025Review
- A functionalized method for assessing the risk of adverse events in patients with pulmonary embolism.Frontiers in medicine · 2025Article
- Current Role of CT Pulmonary Angiography in Pulmonary Embolism: A State-of-the-Art Review.Journal of imaging · 2024Review
- The value of electrocardiography in predicting inpatient mortality in patients with acute pulmonary embolism: A cross sectional analysis.African journal of emergency medicine : Revue africaine de la medecine d'urgence · 2024Article
- Addressing the rising trend of high-risk pulmonary embolism mortality: Clinical and research priorities.Academic emergency medicine : official journal of the Society for Academic Emergency Medicine · 2024Article
- Bilateral Emboli and Highest Heart Rate Predict Hospitalization of Emergency Department Patients With Acute, Low-Risk Pulmonary Embolism.Annals of emergency medicine · 2023Article
- Machine learning-based models for predicting mortality and acute kidney injury in critical pulmonary embolism.BMC cardiovascular disorders · 2023Article
- Quality of life 1 month after acute pulmonary embolism in emergency department patients.Academic emergency medicine : official journal of the Society for Academic Emergency Medicine · 2023Article
- Comparing predictive performance of pulmonary embolism risk stratification tools for acute clinical deterioration.Journal of the American College of Emergency Physicians open · 2023Article
- Electrocardiographic findings associated with early clinical deterioration in acute pulmonary embolism.Academic emergency medicine : official journal of the Society for Academic Emergency Medicine · 2022Article
- Can right ventricular assessments improve triaging of low risk pulmonary embolism?Academic emergency medicine : official journal of the Society for Academic Emergency Medicine · 2022Article
- Intermediate-risk pulmonary embolism: echocardiography predictors of clinical deterioration.Critical care (London, England) · 2022Observational
- Role of CT and MRI in Cardiac Emergencies.Tomography (Ann Arbor, Mich.) · 2022Review
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Authors and funding
16 authors at 5 institutions in 1 country.
Funding
Abstract
objectiveDevelop and validate a prognostic model for clinical deterioration or death within days of pulmonary embolism (PE) diagnosis using point-of-care criteria.
methodsWe used prospective registry data from six emergency departments. The primary composite outcome was death or deterioration (respiratory failure, cardiac arrest, new dysrhythmia, sustained hypotension, and rescue reperfusion intervention) within 5 days. Candidate predictors included laboratory and imaging right ventricle (RV) assessments. The prognostic model was developed from 935 PE patients. Univariable analysis of 138 candidate variables was followed by penalized and standard logistic regression on 26 retained variables, and then tested with a validation database (N = 801).
resultsLogistic regression yielded a nine-variable model, then simplified to a nine-point tool (PE-SCORE): one point each for abnormal RV by echocardiography, abnormal RV by computed tomography, systolic blood pressure < 100 mmHg, dysrhythmia, suspected/confirmed systemic infection, syncope, medico-social admission reason, abnormal heart rate, and two points for creatinine greater than 2.0 mg/dL. In the development database, 22.4% had the primary outcome. Prognostic accuracy of logistic regression model versus PE-SCORE model: 0.83 (0.80, 0.86) vs. 0.78 (0.75, 0.82) using area under the curve (AUC) and 0.61 (0.57, 0.64) vs. 0.50 (0.39, 0.60) using precision-recall curve (AUCpr). In the validation database, 26.6% had the primary outcome. PE-SCORE had AUC 0.77 (0.73, 0.81) and AUCpr 0.63 (0.43, 0.81). As points increased, outcome proportions increased: a score of zero had 2% outcome, whereas scores of six and above had ≥ 69.6% outcomes. In the validation dataset, PE-SCORE zero had 8% outcome [no deaths], whereas all patients with PE-SCORE of six and above had the primary outcome.
conclusionsPE-SCORE model identifies PE patients at low- and high-risk for deterioration and may help guide decisions about early outpatient management versus need for hospital-based monitoring.
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