ABSTRACT NUMBER: ESOC2026A1372 INCORPORATING STROKE SEVERITY DYNAMICS TO IMPROVE PROGNOSTIC MODELLING IN ISCHAEMIC STROKE PATIENTS: EVIDENCE FROM SERIAL NIHSS ASSESSMENTS IN BERGEN NORSTROKE STUDY
Zewen Lu, Halvor Næss, Matthew Gittins, Amit Kishore, Craig Smith, Andy Vail · 2026
Read ABSTRACT NUMBER: ESOC2026A1372 INCORPORATING STROKE SEVERITY DYNAMICS TO IMPROVE PROGNOSTIC MODELLING IN ISCHAEMIC STROKE PATIENTS: EVIDENCE FROM SERIAL NIHSS ASSESSMENTS IN BERGEN NORSTROKE STUDY by Zewen Lu, Halvor Næss, Matthew Gittins, Amit Kishore, Craig Smith, Andy Vail (2026) in the Tower of Babel, a free online library of public-domain works preserved in clean, searchable text. No sign-up. The full text is served as a plain-text file at a predictable URL, where text is present: https://antarctic-labs.com/tower-of-babel/pmc-13145875.txt.
Description
Zewen Lu and co-authors report a 2026 conference study on using repeat stroke severity scores, not just the arrival score, to forecast recovery. Severity shifts a lot in the first two days, yet forecasts usually freeze it at arrival. The Bergen study held repeat scores for more than sixteen hundred patients.
Most patients had mild strokes and improved within two days. Sorting score paths over time found three groups, from low and steady to high with mild gains. Models that used the full score path forecast short-term function better than arrival-only models. The best model used each patient's own trend line. Since repeat scoring is not routine, the authors frame the work as a first step.
Catalog record
| CREATOR | Zewen Lu, Halvor Næss, Matthew Gittins, Amit Kishore, Craig Smith, Andy Vail |
|---|---|
| YEAR | 2026 |
| COLLECTION | PAPERS |
| FORMAT | TXT |
| FILE SIZE | 2 KB |
| VERSION | 1.0 |
| LICENSE | CC BY 4.0 |
| RIGHTS | CC BY |
| SOURCE | Europe PMC |