キンジヨウ　タカヒコ   KINJIYOU Takahiko   金城　貴彦    所属   医学部 医学科（東京女子医科大学病院）    職種   助教
論文種別	原著
言語種別	英語
査読の有無	査読あり
表題	Impact of Pericardial Fat on Intracardiac Atrial Impedance and Generator Impedance.
掲載誌名	正式名：Journal of arrhythmia 略　 称：J Arrhythm ISSNコード：18804276/18804276
掲載区分	国内
巻・号・頁	42(3),pp.e70375
著者・共著者	Shogo Hamaura, Masaomi Kimura, Yuichi Toyama, Kimitaka Nishizaki, Takahiko Kinjo, Yuji Ishida, Taihei Itoh, Shingo Sasaki, Hirofumi Tomita
発行年月	2026/06
概要	BACKGROUND:Generator impedance (GI) is a critical parameter that is measured during radiofrequency (RF) ablation. Factors influencing GI and its relationship with intracardiac atrial impedance (IAI) remain unclear; hence, this study aimed to investigate the determinants of IAI and assess their correlation with GI.METHODS:A total of 104 patients who underwent atrial arrythmia ablation were included in this single-center retrospective study. Pericardial fat (PF) volume was assessed using preoperative contrast-enhanced computed tomography, and IAI was measured intraoperatively using the BeeAT catheter. The GI was recorded during the first RF application in 48 patients with atrial fibrillation (AF). Multivariate regression analyses were performed to identify the factors influencing IAI and GI.RESULTS:A positive correlation was observed between the IAI and GI (n = 48, r = 0.63, p < 0.001), and the IAI was an independent predictor of GI by multivariate regression analysis. PF volume (β = 0.45, p < 0.001), serum sodium levels (β = -0.26, p = 0.001), and hemoglobin concentrations (β = 0.23, p = 0.015) were significant determinants of IAI, but not body mass index (BMI). Although PF volume was positively correlated with BMI (r = 0.52, p < 0.001), the high PF/BMI ratio group had the highest IAI (68.3 ± 10.9 Ω), which significantly exceeded both the low PF/BMI group (53.3 ± 8.5 Ω, p < 0.001) and the average PF/BMI group (58.2 ± 8.9 Ω, p < 0.001).CONCLUSIONS:IAI was significantly influenced by the PF volume and blood components, and served as a key determinant of GI during AF ablation. These findings suggest that the IAI may be a valuable real-time indicator for optimizing ablation strategies based on patient-specific characteristics.
DOI	10.1002/joa3.70375
PMID	42256113