超声心动图参数能否作为微心房颤动患者脑血管事件的预测因子?

C. Aydın
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The LASI was calculated as a fraction of the left atrial maximum volume to the left atrial volume of the sphere in a four-chamber view. The biplane method of disks was used to calculate left atrium volume. The LAVI was calculated by dividing left atrium (LA) volume by the body surface area of patients. Atrial electromechanical delay intervals were calculated from the atrial walls by tissue Doppler imaging. These two groups were compared to assess whether echocardiographic parameters could be a predictor of cerebrovascular events. Results: There was a statistically significant difference between Groups 1 and 2 in terms of left (75.7±4.5 vs. 68.4±3.5, p<0.001) and right (69.5±7.1 vs. 57±3.2, p<0.001) atrial lateral wall and LA medial wall (72±4 vs. 66.2±3.5, p<0.001) electromechanical delay times, LAVI (38.9±3.3 vs. 30.9±3.8, p<0.001), LASI (0.78±0.05 vs. 0.67±0.4, p<0.001), and LAKE (3.7±0.9 vs. 7.9±1.9, p<0.001), left atrial diameter (40±5 vs. 38±2, p<0.001). 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摘要

目的:本研究探讨了微心房颤动(microaf)患者脑卒中的可能预测因素[左心房球形指数(LASI)、左心房动能(LAKE)、左心房容积指数(LAVI)、心房机电延迟(AEMD)]间期。患者和方法:共102例连续患者(男性40例,女性62例;平均年龄:61.5±9.2岁;在2021年6月至2021年10月期间,年龄在18至75岁之间的患者被纳入了这项回顾性研究。这些患者的颅磁共振和计算机断层扫描图像从医院数据库扫描。根据患者脑卒中情况分为两组(第一组,脑卒中组[n=25];第二组为非卒中组[n=77])。在四室视图中,LASI计算为左心房最大容积与左心房容积的分数。采用圆盘双平面法计算左心房容积。LAVI通过左心房(LA)体积除以患者体表面积计算。通过组织多普勒成像从心房壁计算心房机电延迟时间。对这两组患者进行比较,以评估超声心动图参数是否可以作为脑血管事件的预测指标。结果:1组与2组左房(75.7±4.5比68.4±3.5,p<0.001)、右房(69.5±7.1比57±3.2,p<0.001)外侧壁和左房内侧壁(72±4比66.2±3.5,p<0.001)机电延迟时间、LAVI(38.9±3.3比30.9±3.8,p<0.001)、LASI(0.78±0.05比0.67±0.4,p<0.001)、LAKE(3.7±0.9比7.9±1.9,p<0.001)、左房内径(40±5比38±2,p<0.001)差异均有统计学意义。结论:LASI、LAVI、LAKE、左房内径和心房AEMD次数的变化可能是微心房颤动患者脑卒中的预测因子。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Could the echocardiographic parameters be a predictor to estimate cerebrovascular events in patients with micro-atrial fibrillation?
Objectives: This study examined possible predictors of stroke [left atrial sphericity index (LASI), left atrial kinetic energy (LAKE), left atrial volume index (LAVI) atrial electromechanical delay (AEMD)] intervals in patients with micro-atrial fibrillation (micro-AF). Patients and methods: A total of 102 consecutive patients (40 males, 62 females; mean age: 61.5±9.2 years; range, 18 to 75 years) diagnosed with micro-AF on rhythm Holter were included in this retrospective study between June 2021 and October 2021. Cranial magnetic resonance and computed tomography images of these patients were scanned from the hospital database. The patients were divided into two groups according to their stroke status (Group 1, the stroke group [n=25]; Group 2, the nonstroke group [n=77]). The LASI was calculated as a fraction of the left atrial maximum volume to the left atrial volume of the sphere in a four-chamber view. The biplane method of disks was used to calculate left atrium volume. The LAVI was calculated by dividing left atrium (LA) volume by the body surface area of patients. Atrial electromechanical delay intervals were calculated from the atrial walls by tissue Doppler imaging. These two groups were compared to assess whether echocardiographic parameters could be a predictor of cerebrovascular events. Results: There was a statistically significant difference between Groups 1 and 2 in terms of left (75.7±4.5 vs. 68.4±3.5, p<0.001) and right (69.5±7.1 vs. 57±3.2, p<0.001) atrial lateral wall and LA medial wall (72±4 vs. 66.2±3.5, p<0.001) electromechanical delay times, LAVI (38.9±3.3 vs. 30.9±3.8, p<0.001), LASI (0.78±0.05 vs. 0.67±0.4, p<0.001), and LAKE (3.7±0.9 vs. 7.9±1.9, p<0.001), left atrial diameter (40±5 vs. 38±2, p<0.001). Conclusion: Changes in LASI, LAVI, LAKE, left atrial diameter, and atrial AEMD times may be a predictor of stroke in patients with micro-AF.
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