Perioperative medicine & outcomes
Preoperative electrocardiography for predicting cardiovascular events after noncardiac surgery: a secondary analysis of two prospective cohorts
Authors' conclusion
Preoperative ECG findings, assessed by including conventional waveform features and the PreOpNet algorithm, provide limited incremental predictive value for cardiovascular risk assessment before noncardiac surgery.
Study context
- Population
- Patients undergoing major noncardiac surgery in China, 2019–2023
- Participants
- 6,080 patients
- Comparison
- Clinical risk scores with vs without preoperative ECG findings
- Primary endpoint
- Composite of any cardiovascular events
- Follow-up
- 30 days after surgery
Methodological detailsprognostic model comparison, nested logistic regression models
- Prognostic model comparison
- Nested logistic regression models
Primary result
As reported in the abstract
Discrimination for any cardiovascular events (ΔAUC vs clinical risk score)
ΔAUC
- Conventional ECG features vs Clinical risk score · added to Revised Cardiac Risk Index
- 0.035
- PreOpNet vs Clinical risk score · added to Revised Cardiac Risk Index
- 0.032
- Conventional ECG features vs Clinical risk score · added to Gupta risk score
- 0.010
- PreOpNet vs Clinical risk score · added to Gupta risk score
- 0.006
- Postoperative cardiovascular events
- 733 (12.1%)
Secondary outcomes
- Patients with MACE
- 174 (2.9%)
Parts of this Brief are withheld: the automatic checks could not confirm them against the abstract.
Original publication
Preoperative electrocardiography for predicting cardiovascular events after noncardiac surgery: a secondary analysis of two prospective cohorts. Br J Anaesth. Published 31 July 2026. doi:10.
Composed by AI from the published abstract and checked against it. How Briefs are made →