- 著者
- Takashi Akima Katsutoshi Sekine Koki Yamaoka Yuta Seki Kazuaki Nakajima Masahito Munakata Hideaki Kanki Makoto Akaishi Takashi Koyama
- 出版者
- The Japanese Circulation Society
- 雑誌
- Circulation Reports (ISSN:24340790)
- 巻号頁・発行日
- vol.2, no.11, pp.657-664, 2020-11-10 (Released:2020-11-10)
- 参考文献数
- 22
- 被引用文献数
- 1
Background:The relationship between left ventricular diastolic dysfunction (LVDD) and paroxysmal atrial fibrillation (PAF) remains unclear because of a lack of standard measures to evaluate LVDD. Accordingly, we examined the association between the prevalence of PAF and each LVDD grade determined according to the latest American Society of Echocardiography guidelines.Methods and Results:In all, 2,063 patients without persistent AF who underwent echocardiography at Saitama Municipal Hospital from July 2016 to June 2017 were included in the study. Patients were divided into LVDD 6 categories: No-LVDD (n=1,107), Borderline (n=392), Grade 1 (n=204), Indeterminate (n=62), Grade 2 (n=254), and Grade 3 (n=44). PAF was documented in 111 (10.0%), 81 (20.7%), 28 (13.7%), 6 (9.7%), 52 (20.5%), and 24 (54.5%) patients in the No-LVDD, Borderline, Grade 1, Indeterminate, Grade 2, and Grade 3 categories, respectively. PAF prevalence was higher in patients with Grade 3 LVDD across the whole study population. Subgroup analyses showed that the prevalence of PAF increased with increased LVDD grade in patients with reduced left ventricular ejection fraction. This relationship was significant in multivariate analysis including various patient characteristics.Conclusions:LVDD severity determined on the basis of the latest echocardiographic criteria was associated with the prevalence of PAF. The present findings shed light on the development of new therapeutic markers for PAF.
- 著者
- Yuta Seki Fumiyuki Adachi
- 出版者
- The Institute of Electronics, Information and Communication Engineers
- 雑誌
- IEICE Communications Express (ISSN:21870136)
- 巻号頁・発行日
- pp.2018XBL0028, (Released:2018-03-22)
- 被引用文献数
- 1
In this paper, we propose an adaptive minimum mean square error filtering combined with singular value decomposition (MMSE-SVD) for OFDM downlink multi-user multi-input multi-output (MU-MIMO) transmission. During data transmission, base station (BS) updates the multi-user MMSE transmit filter by using linear channel prediction, while user equipments (UEs) update their eigenmode receive filters, constructed by SVD, by using decision feedback adaptive channel estimation. The uncoded BER performance achievable by adaptive MMSE-SVD is evaluated by computer simulation. It is shown that proposed adaptive MMSE-SVD can increase an allowable maximum Doppler frequency (fDT) for keeping BER<10-2 by about 4 times.