Comparison of seven prognostic tools to identify low-risk pulmonary embolism in patients aged <50 years

Luis Jara-Palomares1, Maria Alfonso2, Ana Maestre3

  • 1Department of Pneumonology, Medical Surgical Unit of Respiratory Diseases, Instituto de Biomedicina de Sevilla (IBiS), Centro de Investigación Biomédica en Red de Enfermedades Respiratorias (CIBERES), Hospital Universitario Virgen del Rocío, Seville, Spain. luisoneumo@hotmail.com.

Scientific Reports
|December 29, 2019
PubMed

Insights

Prognostic tools for acute pulmonary embolism (PE) in patients under 50 show varying accuracy. The RIETE, Prognostic Algorithm, and sPESI scores are most sensitive for identifying low-risk patients, though further evaluation is recommended.

Area of Science:

  • Cardiology
  • Pulmonary Medicine
  • Clinical Epidemiology

Background:

  • Prognostic tools for acute pulmonary embolism (PE) lack evaluation in young patients (<50 years).
  • Accurate risk stratification is crucial for managing PE in diverse age groups.

Purpose of the Study:

  • To compare the prognostic value of seven established tools in patients under 50 with acute PE.
  • To identify the most sensitive tools for predicting 30-day mortality in this specific demographic.

Main Methods:

  • Utilized the RIETE database (2001-2017) including 5,822 patients aged <50 with acute PE.
  • Assessed seven prognostic tools: GPS, PESI, sPESI, Prognostic Algorithm, PREP, shock index, and RIETE score.
  • Primary outcome was 30-day all-cause mortality.

Main Results:

  • The RIETE, Prognostic Algorithm, and sPESI scores demonstrated the highest sensitivity in identifying low-risk patients.
  • These three tools also showed the highest sensitivity for predicting 7- and 90-day mortality, PE-related mortality, major bleeding, and VTE recurrences.
  • The proportion of low-risk patients who died within 30 days was lowest with the Prognostic Algorithm (0.2%), RIETE (0.3%), and sPESI (0.3%) scores.

Conclusions:

  • In young patients with acute PE, 30-day mortality is low.
  • The RIETE, Prognostic Algorithm, and sPESI scores are the most sensitive tools for identifying low-risk individuals.
  • Further research is needed to optimize prognostic tools for this younger PE population.

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