Research paper
Predicting progression from SeLECTS with SWAS to EE-SWAS
SELECTS-cohort model of how SWAS progresses (or does not progress) to full EE-SWAS. Identifies clinical and electrographic predictors of conversion.
Hu Y, et al.
Markdown path
content/research/papers/2026-hu-selects-swas-ee-swas-progression-model.mdFindings
SELECTS-cohort model of how SWAS progresses (or does not progress) to full EE-SWAS. Identifies clinical and electrographic predictors of conversion.
Why it may matter for Levi
Not directly applicable to Levi (already DEE-SWAS with pre-existing delay rather than EE-SWAS). But the progression model framework is useful for tracking how much additional regression Levi is likely to incur if SWAS recurs, and for weighting aggressive vs watchful-waiting escalation decisions.
Hu et al. (2026) — SeLECTS-with-SWAS to EE-SWAS progression model
Source
- PMC12852369, 2026.
Why in corpus
Complementary to İriş 2026: identifies clinical/EEG features that distinguish children likely to progress from SeLECTS with SWAS to frank EE-SWAS with cognitive regression.
Key findings
- Develops predictive model from clinical and EEG features for progression from SeLECTS-with-SWAS to EE-SWAS.
- Identifies specific risk-stratification features that may help clinicians intervene earlier in children at high risk for cognitive regression.
Levi-relevant takeaways
- Levi's diagnosis is already DEE-SWAS (not SeLECTS-with-SWAS), so this predictive model is not directly diagnostic for him. Relevant more as mechanistic framing for why some children regress and others don't.
- Reinforces the importance of EEG feature reporting beyond simple SWI — spike voltage, discharge distribution, and focality all carry prognostic weight per Yan 2026 and this Hu 2026 paper.
- Useful reference if Levi's younger brother or a future sibling were ever to present with focal spikes on EEG — would help calibrate surveillance vs. treatment decisions.