Enhancing Prediction of Cancer Therapy-Related Cardiomyopathy From Surveillance Echocardiograms: A Children's Oncology Group Study
Authors' conclusion
Early abnormalities in echocardiographic parameters of structure and function predict subsequent cardiomyopathy in CCS and can identify high-risk survivors who warrant early intervention.
Study context
- Population
- ≥1-year childhood cancer survivors with digitally archived surveillance echocardiograms
- Participants
- 146 survivors · 281 echocardiograms
- Exposure
- Cases vs Noncases
- Casesn = 52
- Noncasesn = 94reference
- Outcome
- Cardiomyopathy predicted by 2-year echocardiographic measures (AUC of the prediction model)
Methodological detailsmulticentre, blinded central echocardiogram quantitation
- Multicentre
- Blinded central echocardiogram quantitation
Main finding
As reported in the abstract
Discrimination of the 7-measure echocardiographic model
AUC, training data set
0.82
95% CI 0.74–0.89
AUC, test data set
0.85
95% CI 0.74–0.95
Observational data: associations, not effects.
Further findings
| Outcome | Estimate | |
|---|---|---|
| Individual predictors of cardiomyopathyLV end-systolic dimension | OR 1.2 per mm (95% CI 1.1–1.4) | |
| Individual predictors of cardiomyopathyApical 4-chamber longitudinal strain | OR 1.2 per % (95% CI 1.0–1.3) | |
| Individual predictors of cardiomyopathySeptal A' velocity | OR 1.3 per cm/s (95% CI 1.1–1.6) | |
| 0.512Odds ratio (log scale) |
Model including cancer treatment exposures
- AUCs similar if cancer treatment exposures were included
Original publication
Enhancing Prediction of Cancer Therapy-Related Cardiomyopathy From Surveillance Echocardiograms: A Children's Oncology Group Study. JACC Adv. Published 21 November 2025. doi:10.
Summarised from the published abstract; every number is checked against it