Prolonged ECG monitoring after transient ischaemic attack for atrial fibrillation detection: feasibility of using meta-machine learning algorithm
J Tan, C Simela, T Habtezghi, S Maung, C Hayward, I Rehman, A Hassan, A Garcia, J Wu, C Gale, R Nadarajah · 2026
Read Prolonged ECG monitoring after transient ischaemic attack for atrial fibrillation detection: feasibility of using meta-machine learning algorithm by J Tan, C Simela, T Habtezghi, S Maung, C Hayward, I Rehman, A Hassan, A Garcia, J Wu, C Gale, R Nadarajah (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-13300467.txt.
Description
J Tan and co-authors assess prolonged rhythm monitoring after a transient ischaemic attack in a 2026 feasibility study. Finding hidden atrial fibrillation matters because blood thinning can then prevent a stroke, yet trials of longer monitoring cover stroke, not these attacks. The retrospective review covered patients at one stroke center's clinics between April and August 2024, using a machine learning framework to sort them.
Of 131 patients, twenty-six were classed high risk and one hundred five low risk. Nearly everyone received only a seventy-two-hour Holter monitor, and nobody got a longer device. New fibrillation diagnoses by twelve months were rare: two in high-risk and one in low-risk patients, all then prescribed anticoagulation. Twenty-three high-risk patients had no extended monitoring at one year. The authors see a workable way to flag high-risk patients and an unmet need to test longer monitoring in them.
Catalog record
| CREATOR | J Tan, C Simela, T Habtezghi, S Maung, C Hayward, I Rehman, A Hassan, A Garcia, J Wu, C Gale, R Nadarajah |
|---|---|
| YEAR | 2026 |
| COLLECTION | PAPERS |
| FORMAT | TXT |
| FILE SIZE | 3 KB |
| VERSION | 1.0 |
| LICENSE | CC BY 4.0 |
| RIGHTS | CC BY |
| SOURCE | Europe PMC |