Predicting atrial fibrillation in heart failure: added value of a plasma protein risk score over clinical and genomic models
M T Huttelmaier, S Zeid, A Gieswinkel, T Koeck, V Ten Cate, S Stoerk, S Frantz, P Lurz, T Fischer, P Wild · 2026
Read Predicting atrial fibrillation in heart failure: added value of a plasma protein risk score over clinical and genomic models by M T Huttelmaier, S Zeid, A Gieswinkel, T Koeck, V Ten Cate, S Stoerk, S Frantz, P Lurz, T Fischer, P Wild (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-13300873.txt.
Description
M T Huttelmaier and co-authors build a blood protein score to predict new atrial fibrillation in heart failure patients, in a 2026 study. The two conditions feed each other, so early warning has real value. Working from a cohort of 3,289 patients, the team measured 536 circulating proteins. They deliberately set aside the two standard heart failure markers. With regularized regression, they picked a signature linked to fibrillation appearing within four years.
Eighteen proteins formed the score, which predicted new cases independently of the clinical picture and outperformed both a standard clinical model and a genetic risk score inside the home cohort. In a huge external validation using UK Biobank data, the protein score again showed the strongest association, with discrimination roughly matching the clinical model. The authors propose protein based screening to focus monitoring and prevention on the heart failure patients most likely to develop the rhythm disorder.
Catalog record
| CREATOR | M T Huttelmaier, S Zeid, A Gieswinkel, T Koeck, V Ten Cate, S Stoerk, S Frantz, P Lurz, T Fischer, P Wild |
|---|---|
| YEAR | 2026 |
| COLLECTION | PAPERS |
| FORMAT | TXT |
| FILE SIZE | 3 KB |
| VERSION | 1.0 |
| LICENSE | CC BY 4.0 |
| RIGHTS | CC BY |
| SOURCE | Europe PMC |