LOXL2 as a Predictive Biomarker for Breakthrough Stroke Risk in
Paroxysmal Atrial Fibrillation Patients
Abstract
Background: In atrial fibrillation (AF) patients, breakthrough
stroke is not uncommon and represents an important subgroup due to its
high stroke recurrence rate and mortality. However, no reliable tool
exists for assessing stroke risk in anticoagulated paroxysmal AF (PAF)
patients. While LOXL2 is implicated in atrial fibrosis, a key
pathological substrate for atrial thrombus, its predictive value for
stroke remains unclear. Objective: To investigate predictive
value of serum LOXL2 levels for breakthrough stroke risk in PAF
patients. Methods: We consecutively enrolled 197 anticoagulated
PAF patients. The serum level of LOXL2 were quantified via ELISA.
Patients were stratified into LOXL2+ and LOXL2− groups based on the
median of their baseline LOXL2 (275.9 pg/mL). Stroke events were
recorded over a median follow-up of 3.9 years. Predictive models
incorporating LOXL2, age, and CHA2DS2-VASc were evaluated using ROC,
NRI, and DCA. Results:During follow-up, 24 patients (12.2%)
experienced stroke. LOXL2 levels were significantly higher in stroke
cases (P = 0.006). Multivariable Cox analysis identified LOXL2 as an
independent risk factor (P < 0.001). Kaplan-Meier and
Nelson-Aalen cumulative hazard analyses further confirmed the
contribution of LOXL2 for elevated stroke risk. A prediction model,
incorporating both LOXL2 and age, achieved the highest predictive
accuracy (AUC = 0.842), significantly improving risk stratification over
CHA2DS2-VASc (NRI = 15.0%, P < 0.001). Conclusion:
Elevated LOXL2 is independently associated with breakthrough stroke risk
in PAF patients. Incorporating LOXL2 and age enhances predictive
accuracy, offering a novel tool for personalized stroke risk
stratification in AF patients despite anticoagulation medication.