Mitsunori Oida, Takuya Mizutani, Eriko Hasumi, Katsuhito Fujiu, Kosaku Goto, Kunihiro Kani, Tsukasa Oshima, Takumi J Matsubara, Yu Shimizu, Gaku Oguri, Toshiya Kojima, Issei Komuro
Risk factors for pacemaker-induced cardiomyopathy (PICM) have been previously reported, including a high burden of right ventricular pacing, lower left ventricular ejection fraction, a wide QRS duration, and left bundle branch block before pacemaker implantation (PMI). However, predicting the development of PICM remains challenging. This study aimed to use a convolutional neural network (CNN) model, based on clinical findings before PMI, to predict the development of PICM. Out of a total of 561 patients with dual-chamber PMI, 165 (mean age 71...
March 22, 2024: Scientific Reports