Pulmonary vascular disease & thromboembolism
Acute pulmonary embolism: a multimarker calculator to predict short-term outcomes
Authors' conclusion
In stable patients with acute PE, the use of a multimarker calculator substantially improved the risk stratification for mortality beyond that of the ESC model.
Study context
- Population
- Haemodynamically stable patients with acute pulmonary embolism (PE)
- Participants
- 60,042 patients
- Comparison
- Multimarker calculator vs European Society of Cardiology (ESC) model
- Outcome
- All-cause mortality
- Follow-up
- 30 days
Methodological detailsretrospective registry cohort, RIETE registry
- Retrospective registry cohort
- RIETE registry
Performance
As reported in the abstract
C-statistic for 30-day mortality
| Test or model | C-statistic (whole cohort) |
|---|---|
| Multimarker calculator | 0.79 |
| ESC model | 0.56 |
C-statistic (whole cohort)
Multimarker calculator0.79
ESC model0.56
- Multimarker calculator vs ESC model: P < 0.001 — whole cohort: 0.79 vs. 0.56
Further findings
PPV for mortality, intermediate-high risk PE (calculator risk >10%) · 15.7% vs. 5.0%
P < 0.001
PPV
| Outcome | Multimarker calculator | ESC model | P value |
|---|---|---|---|
| C-statistic, subgroup with RV function/size and troponin data (n = 16 648)0.78 vs. 0.66 | P < 0.001 | ||
| C-statistic | 0.78 | 0.66 | |
| C-statistic after imputation of missing data0.79 vs. 0.66 | P < 0.001 | ||
| C-statistic | 0.79 | 0.66 |
Original publication
Acute pulmonary embolism: a multimarker calculator to predict short-term outcomes. Eur Heart J. Published 20 May 2025. doi:10.
Composed by AI from the published abstract and checked against it. How Briefs are made →