The value of NT-pro-brain natriuretic peptide and left ventricular ejection fraction for prediction of premature ventricular complexes burden.

射血分数 医学 内科学 心脏病学 利钠肽 心力衰竭 脑利钠肽
作者
E Baysal,A Uslu,A Küp,M Saygi,R Doğan,L Pay,O Birdal,M Okşul,G Y Arslan
出处
期刊:PubMed [National Institutes of Health]
卷期号:27 (6): 2377-2384
标识
DOI:10.26355/eurrev_202303_31772
摘要

We aimed to investigate the relation of NT-pro BNP level and left ventricular ejection fraction with premature ventricular complex burden.A total of 94 patients with PVC burden > 5% (age 45.9+12.9 years, 53 males, 41 females) were included in the study. The primary outcome was PVC burden % and main prognostic factors were LVEF% and NT-Pro BNP level. Gender, age, DM, HTN, presence of symptoms, symptom duration and heart rate were used as adjustment predictor variables. We created four different linear multivariable models to compare performance measures of prognostic factors: Model-1 has gender, age, DM, HTN, symptoms and heart rate, while LVEF has been added in addition to model-1 in model-2. Model-3 included NT-Pro-BNP alongside model-1 variables, while model-4 included both LVEF and NT-Pro-BNP variables in addition to model-1 variables. Accordingly, we compare the performance (R2, likelihood ratio X2) of models.The median PVC burden was 18% (IQR; 11-27). When model-1 consisting of gender, age, DM, HTN, presence of symptoms, symptomS duration and heart rate and model-2 consisting of LVEF in addition to variables of model-1 were compared, it was observed that both LRX2 and R2 values improved (likelihood ratio test p-value=0.013). Model-1 compared with model-3 which consisting of NT-pro BNP in addition to variables of model-1, and it was observed that both LRX2 and R2 values improved (likelihood ratio test p-value=0.008). However, when compared to model-1, the most significant improvement was observed in both LRX2 and R2 values in model-4 consisting of model-1 plus NT-Pro-BNP and LVEF (likelihood ratio test p-value <0.001).We determined that NT-pro-BNP levels and LVEF could predict PVC burden in patients. Higher levels of NT-pro-BNP and lower LVEF values were associated with increased PVC burden.

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
nxy发布了新的文献求助10
1秒前
清秀送终发布了新的文献求助10
1秒前
kegelang发布了新的文献求助50
1秒前
昊昊完成签到 ,获得积分10
1秒前
玺xi完成签到,获得积分20
2秒前
肥蛇外传发布了新的文献求助10
2秒前
2秒前
ToMoTT完成签到,获得积分10
3秒前
科研通AI6.2应助spolo采纳,获得50
4秒前
体贴凌柏发布了新的文献求助10
4秒前
科研农民工应助yuyuyu采纳,获得10
4秒前
玺xi发布了新的文献求助20
4秒前
1123发布了新的文献求助10
4秒前
贺贺很帅发布了新的文献求助10
5秒前
5秒前
6秒前
jin完成签到,获得积分10
6秒前
6秒前
沙耶酱完成签到,获得积分10
7秒前
7秒前
hdy331完成签到,获得积分0
8秒前
8秒前
XXX发布了新的文献求助10
8秒前
jane123发布了新的文献求助10
10秒前
10秒前
白石人家应助晨曦采纳,获得10
10秒前
jiabao发布了新的文献求助10
11秒前
晓宇完成签到,获得积分10
11秒前
11秒前
Jasper应助科研啦采纳,获得10
13秒前
别找我干活完成签到 ,获得积分20
15秒前
16秒前
如花不如画完成签到 ,获得积分10
16秒前
葛根发布了新的文献求助10
17秒前
18秒前
无语的羞花完成签到,获得积分10
19秒前
科目三应助喜悦的凌柏采纳,获得10
19秒前
潜水的桃完成签到,获得积分10
19秒前
XXX完成签到,获得积分10
19秒前
dududu发布了新的文献求助20
19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
Advanced Weaponeering Fourth Edition, Volume 2 1000
Weaponeering: An Introduction Fourth Edition, Volume 1 1000
Health and Wellbeing for Babies and Children 800
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
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 7546250
求助须知:如何正确求助?哪些是违规求助? 9129699
关于积分的说明 19505309
捐赠科研通 7140685
什么是DOI,文献DOI怎么找? 3259275
关于科研通互助平台的介绍 2426326
邀请新用户注册赠送积分活动 2247594