Pulmonary vascular disease & thromboembolism

Prediction and Risk Stratification for 30-Day Mortality in Stable Acute Pulmonary Embolism: Recalibration of the Multimarker Calculator and Evaluation of the AHA/ACC Classification

Eur Heart J Acute Cardiovasc CarePublished prospective, multicentre China pUlmonary thromboembolism REgistry Study

Authors' conclusion

The recalibrated MMC may be useful for individualized 30-day mortality risk estimation, whereas the AHA/ACC classification may offer a simple framework for phenotype-based risk grouping.

Study context

Population
Adults with haemodynamically stable acute pulmonary embolism (PE), Chinese multicentre cohort, 2012–2021patients analysed
Participants
11,568 adultsEvents: 331 (2.9%)
Predictors
Multimarker calculator (MMC), original and recalibrated; 2019 European Society of Cardiology (ESC) model; 2026 AHA/ACC Acute PE Clinical Categories (AHA/ACC classification) in 7-, 4-, and simplified phenotype-based 3-category schemes
Predicted outcome
30-day all-cause mortality

Model performance

As reported in the abstract

Test or modelAUC
MMC0.704
7-category AHA/ACC classification0.680
ESC model0.606

AUC

MMC0.704
7-category AHA/ACC classification0.680
ESC model0.606

Further findings

Mortality across the 3-category AHA/ACC classification · 30 days · mortality increased stepwise

Calibration of the original MMC, intermediate-high-risk mortality · 30 days

Mean predicted risk
16.2%
Observed risk
9.4%
Original MMC overestimated intermediate-high-risk mortality

Recalibrated MMC, intermediate-high-risk subgroup · 30 days

Intermediate-high-risk subgroup, share of patients
2.2%
Observed mortality in the intermediate-high-risk subgroup
13.2%
Recalibration improved calibration

Original publication

Prediction and Risk Stratification for 30-Day Mortality in Stable Acute Pulmonary Embolism: Recalibration of the Multimarker Calculator and Evaluation of the AHA/ACC Classification. Eur Heart J Acute Cardiovasc Care. Published 28 October 2026. doi:10.1093/ehjacc/zuag135

Composed by AI from the published abstract and checked against it. How Briefs are made →

Get them every week

New studies on this topic in My Week and in your Monday e-mail.

We e-mail you a sign-in link and a code. No password, no spam.