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Clinical update · 01 of 05

The 2026 AHA/ACC PE categories against the ESC scheme

When assessing PE severity, look for evolving cardiopulmonary failure beyond the ESC high-risk definition.

Design
Retrospective two-campus cohort
Population
2,251 hospitalised patients with acute pulmonary embolism
Primary outcome
30-day all-cause mortality
Effect
AUC 0.885 (AHA/ACC) vs 0.763 (ESC); difference 0.122 (0.084–0.160)

A retrospective cohort in Chest (29 September) applied both the 2026 AHA/ACC acute pulmonary embolism clinical categories and the 2019 ESC risk classes to 2,251 inpatients with acute PE at a Chinese tertiary hospital between 2013 and 2025. Thirty-day mortality was 5.6%.

The AHA/ACC scheme discriminated 30-day mortality better (area under the curve 0.89 vs 0.76) and PE-related death better (0.94 vs 0.83). At comparable specificity, it identified 84% of PE-related deaths in its top categories against 59% for ESC high risk. Thirty-seven patients placed in AHA/ACC categories D–E but ESC intermediate risk had striking mortality: 76% died within 30 days.

Much of the advantage came from the extremes of the spectrum and narrowed in the middle range. But the discordant group is the practical point: some patients not haemodynamically unstable by ESC criteria are already failing and need escalation-level attention.

  • The AHA/ACC categories separated 30-day mortality better than ESC classes
  • Patients in AHA/ACC categories D–E but ESC intermediate risk had very high mortality
  • Look beyond blood pressure for signs of evolving failure: lactate, oxygen need, RV strain
  • Retrospective, single-institution data — validate locally before changing pathways

Why it matters

Some patients classed as intermediate risk are already deteriorating and may need escalation.

Don't overread it

Retrospective and from one centre — it compares prediction, not whether using either scheme changes outcomes.

The statistics, in plain English

An AUC of 0.89 means the scheme ranks a patient who dies above one who survives 89% of the time. The difference narrowed to 0.11 once the extreme categories were removed, so much of the gain is at the ends of the spectrum.

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