Bisoprolol in the treatment of chronic heart failure: from pathophysiology to clinical pharmacology and trial results.

比索洛尔 医学 卡维地洛 美托洛尔 心力衰竭 依那普利 内科学 心脏病学 β受体阻滞剂 临床试验 药理学 血压 血管紧张素转换酶
作者
Marco Metra,Savina Nodari,Tania Bordonali,Patrizia Milani,Carlo Lombardi,Silvia Bugatti,Benedetta Fontanella,Giulia Verzura,Rossella Danesi,Livio Dei
出处
期刊:PubMed [National Institutes of Health]
卷期号:3 (4): 569-78 被引量:12
标识
摘要

Clinical trials have consistently shown the benefits of beta-blocker treatment in patients with chronic heart failure (HF). As a result, bisoprolol, carvedilol, and metoprolol succinate are now indicated for the treatment of all patients with chronic HF who do not have major contraindications. Bisoprolol is the first beta-blocker shown to improve survival in an outcome trial. In the Cardiac Insufficiency Bisoprolol Study II (CIBIS-II), all-cause mortality and sudden death were reduced in patients treated with bisoprolol compared with those on placebo (11.8% vs 17.3%; p < 0.0001 and 3.6% vs 6.3%, p < 0.002; respectively) regardless of age, NYHA functional class, and co-morbidities. Further studies have shown both the efficacy of bisoprolol on secondary endpoints and patients subgroups as well its high cost effectiveness. More recently, CIBIS-III has shown similar efficacy and safety of the initiation of HF treatment with either bisoprolol or enalapril, with a tendency to a survival advantage with bisoprolol. Nowadays, the role of bisoprolol, as well as that of carvedilol and metoprolol succinate, in HF treatment is firmly established and research is mainly focused on implementation of treatment and better dosing. This article will summarize evidence for the efficacy of bisoprolol in the treatment of HF.

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
充电宝应助自信的寻凝采纳,获得10
刚刚
刚刚
zhengts完成签到 ,获得积分10
3秒前
花薇Liv完成签到,获得积分10
5秒前
光合谷发布了新的文献求助10
5秒前
大模型应助Sheepycat采纳,获得10
5秒前
6秒前
6秒前
RYK完成签到 ,获得积分10
6秒前
ftc发布了新的文献求助30
6秒前
慕新发布了新的文献求助20
6秒前
CipherSage应助科研通管家采纳,获得10
8秒前
打打应助科研通管家采纳,获得10
8秒前
香蕉觅云应助科研通管家采纳,获得10
9秒前
Nole应助科研通管家采纳,获得10
9秒前
aajhajkahna应助Lydia采纳,获得10
9秒前
lin应助Lydia采纳,获得10
9秒前
852应助科研通管家采纳,获得10
9秒前
科研通AI6.2应助谢超采纳,获得10
9秒前
酷波er应助科研通管家采纳,获得10
9秒前
Nole应助科研通管家采纳,获得10
9秒前
10秒前
FashionBoy应助要减肥小夏采纳,获得10
11秒前
迷茫的一代完成签到,获得积分0
11秒前
11秒前
xun发布了新的文献求助10
12秒前
13秒前
大个应助土豆采纳,获得10
13秒前
14秒前
14秒前
14秒前
气泡水完成签到 ,获得积分10
14秒前
踏实雪卉完成签到,获得积分10
16秒前
17秒前
Muhammad发布了新的文献求助10
18秒前
富贵发布了新的文献求助10
19秒前
19秒前
富贵发布了新的文献求助10
19秒前
富贵发布了新的文献求助10
19秒前
19秒前
高分求助中
(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
APA handbook of comparative psychology: Basic concepts, methods, neural substrate, and behavior 1000
Health Psychology 1000
全员动态考核,锚定高质量发展:读懂同济大学教师人事改革新政的深层价值 900
Matrix Methods in Data Mining and Pattern Recognition Second Edition 510
The fast track to determining transfer functions of linear circuits: The student guide 500
Römisch-Germanische Forschungen 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 7595715
求助须知:如何正确求助?哪些是违规求助? 9172340
关于积分的说明 19635082
捐赠科研通 7172935
什么是DOI,文献DOI怎么找? 3267860
关于科研通互助平台的介绍 2432676
邀请新用户注册赠送积分活动 2260999