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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.
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.
Abstract:
In young patients with acute pulmonary embolism (PE), the predictive value of currently available prognostic tools has not been evaluated. Our objective was to compare prognostic value of 7 available tools (GPS, PESI, sPESI, Prognostic Algorithm, PREP, shock index and RIETE) in patients aged <50 years. We used the RIETE database, including PE patients from 2001 to 2017. The major outcome was 30-day all-cause mortality. Of 34,651 patients with acute PE, 5,822 (17%) were aged <50 years. Of these, 83 (1.4%) died during the first 30 days. Number of patients deemed low risk with tools was: PREP (95.9%), GPS (89.6%), PESI (87.2%), Shock index (70.9%), sPESI (59.4%), Prognostic algorithm (58%) and RIETE score (48.6%). The tools with a highest sensitivity were: Prognostic Algorithm (91.6%; 95% CI: 85.6-97.5), RIETE score (90.4%; 95%CI: 84.0-96.7) and sPESI (88%; 95% CI: 81-95). The RIETE, Prognostic Algorithm and sPESI scores obtained the highest overall sensitivity estimates for also predicting 7- and 90-day all-cause mortality, 30-day PE-related mortality, 30-day major bleeding and 30-day VTE recurrences. The proportion of low-risk patients who died within the first 30 days was lowest using the Prognostic Algorithm (0.2%), RIETE (0.3%) or sPESI (0.3%) scores. In PE patients less 50 years, 30-day mortality was low. Although sPESI, RIETE and Prognostic Algorithm scores were the most sensitive tools to identify patients at low risk to die, other tools should be evaluated in this population to obtain more efficient results.
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