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Left atrial volume index and interleukin-6 as predictors for postoperative atrial fibrillation

Authors :
Hong Tao
Xiao Shen
Lei Zou
Cui Zhang
Liang Hong
Source :
Journal of Cardiothoracic Surgery, Vol 19, Iss 1, Pp 1-10 (2024)
Publication Year :
2024
Publisher :
BMC, 2024.

Abstract

Abstract Background Postoperative atrial fibrillation (POAF) is a common complication after cardiac surgery. However, the predictive value of single indictor still remains controversial. This study aimed to assess the predictive value of combining preoperative left atrial volume index (LAVI) and postoperative interleukin-6 (IL-6) for POAF in the patients receiving cardiac surgery. Methods Patients who admitted to Nanjing First Hospital during the study period between December 2022 and June 2023, and underwent open-heart surgery without a history of atrial fibrillation (AF) were enrolled. The relationships between predictors and POAF were investigated using logistic regression analysis. We determined the combined predictive value of LAVI and IL-6 for POAF by measuring the changes in the area under the receiver operating characteristic curve (AUC) and calculating the net reclassification improvements (NRIs) and integrated discrimination improvement (IDIs). Results 102 patients were enrolled in this study, and 50 participants developed POAF (49.0%). Patients who experienced POAF had higher levels of preoperative LAVI and postoperative IL-6 than those who did not. Regression analysis revealed that larger LAVI and higher level of IL-6 were independently associated with increased risk of POAF. The combined addition of LAVI and IL-6 to the predictive model resulted in an evident increase in the AUC. Incorporating both LAVI and IL-6 increased IDIs in all models. Conclusion Our results demonstrated that combined LAVI and IL-6 achieved a higher prediction performance for POAF.

Details

Language :
English
ISSN :
17498090
Volume :
19
Issue :
1
Database :
Directory of Open Access Journals
Journal :
Journal of Cardiothoracic Surgery
Publication Type :
Academic Journal
Accession number :
edsdoj.62fb63cf5f54c3cad0be10f4cdfeb2c
Document Type :
article
Full Text :
https://doi.org/10.1186/s13019-024-02813-9