The value of using left ventricular pressure-strain loops to evaluate myocardial work in predicting heart failure with improved ejection fraction

射血分数 医学 心脏病学 内科学 心力衰竭 逻辑回归 曲线下面积 接收机工作特性 单变量分析 试验预测值 多元分析
作者
Tianyue Li,Ziyao Li,Shuang Guo,Shuangquan Jiang,Qinliang Sun,Yan Wu,Jiawei Tian
出处
期刊:International Journal of Cardiology [Elsevier BV]
卷期号:394: 131366-131366
标识
DOI:10.1016/j.ijcard.2023.131366
摘要

The ultrasound left ventricular pressure-strain loop (LV PSL) was applied to evaluate myocardial work in heart failure with improved ejection fraction (HFimpEF) versus patients with persistent heart failure with reduced ejection fraction (HFrEF) to investigate the value of myocardial work parameters in predicting HFimpEF.We collected 120 patients with HFrEF and recorded clinical characteristics and echocardiographic parameters (PSL technique) of patients. Patients were divided into HFimpEF group or persistent HFrEF group according to the outcome of follow-up. Furthermore, differential clinical and echocardiographic parameters were determined by Student's t-test. We recognized the important echocardiographic parameters to predict whether patients would recover to HFimpEF using the univariate logistic regression analysis and ROC curves. In addition, the multivariate logistic regression models were constructed and evaluated using Delong test and decision curve analysis.Firstly, the HFimpEF group had a higher prevalence of hypertension and higher systolic blood pressure (P-values <0.05). In terms of echocardiographic parameters, HFimpEF group also had higher LVEF, LV GLS, GCW, GWE, and GWI and lower LVEDD (P-values <0.01). In particular, LVEF, LVEDD, GLS, GWI, and GCW were robust predictors of the conversion of HFrEF patients to HFimpEF (AUC >0.70, P-values <0.05). Finally, we determined that the predictive Model 4 (LVEF, LVEDD, GLS, and GCW) had the optimal diagnostic power.The model constructed by GCW with LVEF, LVEDD, and GLS has important predictive value for HFimpEF, which is an effective clinical decision-making tool for providing disease assessment.

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
1秒前
1秒前
清爽松鼠完成签到 ,获得积分10
2秒前
sophia完成签到,获得积分10
2秒前
邪恶大反派完成签到,获得积分10
3秒前
淡泊宁静完成签到 ,获得积分10
3秒前
4秒前
无花果应助TCB采纳,获得10
4秒前
大方逊完成签到,获得积分10
5秒前
啦啦完成签到,获得积分10
5秒前
贝肯帕尼尼完成签到 ,获得积分10
5秒前
在水一方应助AZ采纳,获得30
6秒前
wanci应助小城故事和冰雨采纳,获得10
6秒前
DrHHB应助现代白猫采纳,获得20
6秒前
6秒前
阔达海雪完成签到,获得积分10
7秒前
7秒前
传奇3应助iveu7va采纳,获得10
8秒前
星星完成签到,获得积分10
8秒前
Rainbow7完成签到,获得积分10
9秒前
晨妍完成签到,获得积分10
9秒前
悦耳的天宇完成签到,获得积分10
9秒前
liyukun完成签到,获得积分10
9秒前
9秒前
10秒前
风口上的飞猪完成签到,获得积分10
10秒前
EIEI完成签到,获得积分10
10秒前
刘立琛完成签到,获得积分10
10秒前
10秒前
Nike发布了新的文献求助10
10秒前
小蘑菇应助微笑猎豹采纳,获得10
10秒前
Nike发布了新的文献求助10
10秒前
hsadu完成签到 ,获得积分10
11秒前
11秒前
小王同学发布了新的文献求助10
11秒前
完美的吃鱼完成签到,获得积分10
11秒前
Nike发布了新的文献求助10
11秒前
研友_8YKe5n发布了新的文献求助20
11秒前
Uaena完成签到,获得积分10
11秒前
平常亦凝完成签到,获得积分10
12秒前
高分求助中
Markov Chain Monte Carlo 10000
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
Common Foundations of American and East Asian Modernisation: From Alexander Hamilton to Junichero Koizumi 5000
Pediatric Dermoscopy Trichoscopy & Onychoscopy 1000
悉尼大学博士学位论文,题目:Modelling and testing of one-sided stitched laminated composites. 作者:Kristopher P. Plain 700
Matrix Methods in Data Mining and Pattern Recognition Second Edition 610
Data book on fatigue strength of metallic materials 500
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 工程类 有机化学 化学工程 生物化学 计算机科学 内科学 物理 复合材料 催化作用 细胞生物学 无机化学 光电子学 物理化学 电极 基因
热门帖子
关注 科研通微信公众号,转发送积分 7566069
求助须知:如何正确求助?哪些是违规求助? 9146219
关于积分的说明 19556222
捐赠科研通 7152362
什么是DOI,文献DOI怎么找? 3262562
关于科研通互助平台的介绍 2428866
邀请新用户注册赠送积分活动 2252433