Evaluation of Left Atrial Function in Patients with Paroxysmal Atrial Fibrillation Using Left Atrial Automatic Myocardial Functional Imaging Ultrasonography.
Hailan Liu, Lili Chen, Yan Song, Yingying Xu, Chunquan Zhang
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引用次数: 0
Abstract
Aim: To evaluate volume and strain of the left atrium (LA) in people suffering from paroxysmal atrial fibrillation which is not valvular (NVPAF) using the new technology of left atrial automatic myocardial function imaging (AFILA) and to analyze prognostic factors in patients with NVPAF by follow-up.
Methods: Between August 2019 and August 2022, a total of 80 NVPAF patients and 60 normal control patients who were hospitalized in the Department of Cardiology were included in the study. The LA volume and strain parameters of the two groups were analyzed. The differences in LA function (LAF) parameters were compared between the two groups to generate the receiver operating characteristic curve (ROC) and calculate the area under the curve (AUC), sensitivity, and specificity of each parameter. Follow-up was conducted on the 80 NVPAF patients included, their treatment methods after admission and their rehospitalization due to heart events were recorded, and independent risk factors influencing the prognosis of NVPAF were obtained.
Results: A total of 140 patients participated in the study, including 80 in the NVPAF group and 60 in the normal control group. There was no statistically significant difference in age and sex between the two groups. Compared to the normal group, the LA minimum volume (LAVmin), LA maximum volume (LAVmax), and volume at onset of LA contraction (LAVpreA) in the NVPAF group were significantly increased. The LA emptying fraction (LAEF) was significantly decreased, and LA reservoir strain (S_R), LA conduit strain (S_CD), and LA contractile strain (S_CT) were significantly compromised (P < 0.05). There was no significant difference in LA evacuation volume (LAEV) reduction (P > 0.05). Logistic regression analysis of LAF parameters in NVPAF patients showed that LAEF and S_R were independently correlated with NVPAF (odds ratio values: 0.883 (0.827-0.943), P < 0.001; 0.916 (0.569-1.474), P = 0.047). The ROC curve results showed that LAEF had a high efficiency in the diagnosis of NVPAF, with P < 0.001, AUC of 0.843, sensitivity of 0.788, and specificity of 0.867. For the LA strain parameters, the S_R test efficiency was higher, with P < 0.001, AUC of 0.762, sensitivity of 0.713, and specificity of 0.783. There was a strong correlation between S_R and LAEF in patients with no end event and those with end event. The ROC curve revealed that the S_R was better than LAEF in predicting prognosis of patients with AF (AUC = 0.914, P < 0.0001 vs. AUC = 0.876, P < 0.0001). S_R of 10.5 and LAEF of 21 were the cut-off values for endpoint events in NVPAF patients, with sensitivity of 0.909 and 0.727 and specificity of 0.904 and 0.901, respectively.
Conclusions: AFILA ultrasound technology comprehensively evaluated the LA size and function in patients with NVPAF. The LAEF and S_R were independently correlated with NVPAF and can determine the prognosis of patients with NVPAF.
目的:应用新型左心房自动心肌功能显像技术(AFILA)评价阵发性非瓣膜性心房颤动(NVPAF)患者左心房的容积和应变,并通过随访分析NVPAF患者的预后因素。方法:选取2019年8月至2022年8月期间在心内科住院的80例NVPAF患者和60例正常对照患者作为研究对象。分析两组的LA体积和应变参数。比较两组患者LA函数(LAF)参数的差异,生成受试者工作特征曲线(ROC),并计算各参数的曲线下面积(AUC)、敏感性和特异性。对入选的80例NVPAF患者进行随访,记录其入院后的治疗方法及因心脏事件再次住院的情况,获得影响NVPAF预后的独立危险因素。结果:共140例患者参与研究,其中NVPAF组80例,正常对照组60例。两组患者年龄、性别差异无统计学意义。与正常组比较,NVPAF组左室最小容积(LAVmin)、左室最大容积(LAVmax)和左室收缩起始容积(LAVpreA)均显著升高。LA排空分数(LAEF)显著降低,LA水库应变(S_R)、LA导管应变(S_CD)和LA收缩应变(S_CT)显著降低(P P > 0.05)。对NVPAF患者LAF参数进行Logistic回归分析,LAEF和S_R与NVPAF独立相关(优势比值:0.883 (0.827-0.943),P = 0.047)。ROC曲线结果显示LAEF对NVPAF的诊断效率较高,P P P P结论:AFILA超声技术综合评价了NVPAF患者LA的大小和功能。LAEF和S_R与NVPAF独立相关,可决定NVPAF患者的预后。
期刊介绍:
Cardiology Research and Practice is a peer-reviewed, Open Access journal that publishes original research articles, review articles, and clinical studies that focus on the diagnosis and treatment of cardiovascular disease. The journal welcomes submissions related to systemic hypertension, arrhythmia, congestive heart failure, valvular heart disease, vascular disease, congenital heart disease, and cardiomyopathy.