Perioperative medicine & outcomes
Saccade Tasks: A Noninvasive Approach for Predicting Postoperative Delirium in Elderly Arthroplasty Patients
Authors' conclusion
Saccadic parameters exhibited higher accuracy in predicting the occurrence of POD than MMSE and MoCA scores and molecular test results.
Study context
- Population
- Arthroplasty patients aged 65 yr or older
- Participants
- 316 patients
- Comparison
- Saccadic parameters vs MMSE and MoCA vs Neurofilament light chain
- Outcome
- Accuracy (AUROC) in predicting POD (diagnosed by Confusion Assessment Method)
Performance
As reported in the abstract
Predictive accuracy for POD (logistic regression classifier)
| Test or model | AUROC |
|---|---|
| Saccadic parameters | 0.81 (95% CI, 0.70 to 0.92) |
| MMSE and MoCA | 0.64 (95% CI, 0.53 to 0.76) |
| Neurofilament light chain | 0.61 (95% CI, 0.50 to 0.72) |
AUROC
Saccadic parameters0.81 (95% CI, 0.70 to 0.92)
MMSE and MoCA0.64 (95% CI, 0.53 to 0.76)
Neurofilament light chain0.61 (95% CI, 0.50 to 0.72)
Further findings
- Saccadic parameters, multilayer perceptron machine learning classifier
- 0.89 (95% CI, 0.82 to 0.94) · AUROC
Incidence of postoperative delirium (POD)
- Incidence of POD (26 of 316)
- 8.2%
Differences between POD and non-POD participants
- MMSE and MoCA scales, serum neurofilament light chain levels and five saccadic parameters (reaction time, primary saccade error, saccadic gains in pro-saccades; peak velocity in anti-saccades and memory-guided saccades) differed significantly
- P < 0.05
Original publication
Saccade Tasks: A Noninvasive Approach for Predicting Postoperative Delirium in Elderly Arthroplasty Patients. Anesthesiology. Published 4 December 2025. doi:10.
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