Predicting stroke risk after sepsis hospitalization with new-onset atrial fibrillation

• Published in: Journal of hospital medicine 2024-07, Vol.19 (7), p.565-571
• Main Authors: Myers, Laura C, Peltan, Ithan D, Thai, Khanh K, Kipnis, Patricia, Desai, Manisha, Devis, Ycar, Clancy, Heather, Lu, Yun W, Brown, Samuel M, Go, Alan S, Neugebauer, Romain S, Liu, Vincent X, Walkey, Allan J
• Format: Article
• Language: English
• Subjects: Cardiac arrhythmia; Sepsis; Stroke; Transient ischemic attack
• ISSN: 1553-5592; 1553-5606; 1553-5606
• DOI: 10.1002/jhm.13343

New-onset atrial fibrillation (AF) during sepsis is common, but models designed to stratify stroke risk excluded patients with secondary AF. We assessed the predictive validity of CHA DS VASc scores among patients with new-onset AF during sepsis and developed a novel stroke prediction model incorporating presepsis and intrasepsis characteristics. We included patients ≥40 years old who survived hospitalizations with sepsis and new-onset AF across 21 Kaiser Permanente Northern California hospitals from January 1, 2011 to September 30, 2017. We calculated the area under the receiver operating curve (AUC) for CHA DS VASc scores to predict stroke or transient ischemic attack (TIA) within 1 year after a hospitalization with new-onset AF during sepsis using Fine-Gray models with death as competing risk. We similarly derived and validated a novel model using presepsis and intrasepsis characteristics associated with 1-year stroke/TIA risk. Among 82,748 adults hospitalized with sepsis, 3992 with new-onset AF (median age: 80 years, median CHA DS VASc of 4) survived to discharge, among whom 70 (2.1%) experienced stroke or TIA outcome and 1393 (41.0%) died within 1 year of sepsis. The CHA DS VASc score was not predictive of stroke risk after sepsis (AUC: 0.50, 95% confidence interval [CI]: 0.48-0.52). A newly derived model among 2555 (64%) patients in the derivation set and 1437 (36%) in the validation set included 13 variables and produced an AUC of 0.61 (0.49-0.73) in derivation and 0.54 (0.43-0.65) in validation. Current models do not accurately stratify risk of stroke following new-onset AF secondary to sepsis. New tools are required to guide anticoagulation decisions following new-onset AF in sepsis.