The Significance of Systemic Inflammatory Markers in ‘New-Onset Atrial Fibrillation’ Following Cardiac Surgeries

Abstract

Postoperative atrial fibrillation (AF) is a known complication of postoperative morbidity and mortality in cardiac surgery. The purpose of this retrospective study was to look into the association between the incidence of new-onset AF in patients undergoing cardiac surgery and preoperative systemic inflammatory markers.

Patients were divided into two groups (Group A: new-onset AF, Group B: no AF) depending on the occurrence of AF in the postoperative period, and a retrospective analysis was performed to look for the association between the incidence of new-onset AF and levels of systemic inflammatory markers. Five hundred patients were enrolled in the study, and the duration was three years. One-hundred and fifty out of 500 patients who underwent cardiac surgeries between 2020 and 2023 had higher levels of preoperative inflammatory markers. The systemic immune inflammation index (SII), neutrophil scores, platelet counts, and C-reactive protein (CRP) levels were examined.

Compared to patients without AF (Group B), those who developed AF (Group A) had significantly higher mean levels of CRP (6.2 ± 1.8 mg/L), platelet count (320 ± 50 x10 ⁹/L), neutrophil scores (4.6 ± 0.9), and SII (650 ± 120) (p<0.05 for all). Higher thresholds of these inflammatory markers were related to a notable increase in the prevalence of AF, with odds ratios showing significantly higher risks associated with raised marker levels.

In summary, there was a significant correlation found between an increased risk of new-onset AF after surgery and elevated preoperative inflammatory markers, such as CRP levels, platelet counts, neutrophil scores, and SII. These findings could be used as prognostic markers to identify patients who are more likely to experience postoperative AF. Further prospective studies will be required to analyze their predictive value. Limitations of our study include the relatively small sample size, potential bias from single-institutional data, and the retrospective nature of the study design.