Cardiac arrest & resuscitation
Longitudinal assessment of automated gray-white matter ratio for outcome prediction after cardiac arrest
Authors' conclusion
Automated GWR is a useful predictor of outcome after cardiac arrest, with higher accuracy on delayed CT (> 24 h).
Study context
- Population
- Comatose patients after cardiac arrest admitted to three ICUs
- Participants
- 123 patients · 3 ICUs
- Exposure
- GWR at <24 h, 24-96 h and 96-168 h after cardiac arrest, poor vs good outcome
- Outcome
- Prognostic accuracy (ROC AUC) of GWR for poor neurological outcome (CPC 3-5)
- Follow-up
- 3 months
Methodological detailsmulticentre, serial CT at three predefined time windows, automated atlas-based GWR
- Multicentre
- Serial CT at three predefined time windows
- Automated atlas-based GWR
Main finding
As reported in the abstract
Prognostic accuracy of GWR for poor outcome
| Group | AUC |
|---|---|
| < 24 h | 0.72 (95% CI 0.62-0.81) |
| 24-96 h | 0.78 (95% CI 0.69-0.86) |
| 96-168 h | 0.81 (95% CI 0.72-0.88) |
AUC
< 24 h0.72 (95% CI 0.62-0.81)
24-96 h0.78 (95% CI 0.69-0.86)
96-168 h0.81 (95% CI 0.72-0.88)
- GWR consistently lower in poor vs good outcome across all time windows
- P < 0.001
Observational data: associations, not effects.
Further findings
GWR trajectory
- GWR declined after first 24 h in poor-outcome patients, stable in good-outcome patients
Adding longitudinal GWR change to prediction · 96-168 h
- AUC increased from 0.81 to 0.83
Original publication
Longitudinal assessment of automated gray-white matter ratio for outcome prediction after cardiac arrest. Crit Care. Published 29 December 2025. doi:10.
Composed by AI from the published abstract and checked against it. How Briefs are made →