Inhaled nitric oxide and postoperative outcomes in cardiac surgery with cardiopulmonary bypass: A systematic review and meta-analysis

体外循环 医学 一氧化氮 心脏外科 荟萃分析 内科学 心脏病学 麻醉
作者
Yun Yan,N. O. Kamenshchikov,Ziyu Zheng,Chong Lei
出处
期刊:Nitric Oxide [Elsevier BV]
卷期号:146: 64-74 被引量:14
标识
DOI:10.1016/j.niox.2024.03.004
摘要

Cardiac surgeries under cardiopulmonary bypass (CPB) are complex procedures with high incidences of complications, morbidity and mortality. The inhaled nitric oxide (iNO) has been frequently used as an important composite of perioperative management during cardiac surgery under CPB. We conducted a meta-analysis of published randomized clinical trials (RCTs) to assess the effects of iNO on reducing postoperative complications, including the duration of postoperative mechanical ventilation, length of intensive care unit (ICU) stay, length of hospital stay, mortality, hemodynamic improvement (the composite right ventricular failure, low cardiac output syndrome, pulmonary arterial pressure, and vasoactive inotropic score) and myocardial injury biomarker (postoperative troponin I levels). Subgroup analyses were performed to assess the effect of modification and interaction. These included iNO dosage, the timing and duration of iNO therapy, different populations (children and adults), and comparators (other vasodilators and placebo or standard care). A comprehensive search for iNO and cardiac surgery was performed on online databases. Twenty-seven studies were included after removing the duplicates and irrelevant articles. The results suggested that iNO could reduce the duration of mechanical ventilation, but had no significance on the ICU stay, hospital stay, and mortality. This may be attributed to the small sample size of the most included studies and heterogeneity in timing, dosage and duration of iNO administration. Well-designed, large-scale, multicenter clinical trials are needed to further explore the effect of iNO in improving postoperative prognosis in cardiovascular surgical patients.
最长约 10秒,即可获得该文献文件

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
情怀应助爱听歌帆布鞋采纳,获得10
1秒前
萩萩完成签到,获得积分10
1秒前
漆黑完成签到,获得积分20
2秒前
3秒前
ww完成签到,获得积分10
3秒前
4秒前
5秒前
zxx发布了新的文献求助10
5秒前
5秒前
大模型应助舒适涵山采纳,获得10
6秒前
舒服的芝麻完成签到,获得积分10
6秒前
xiaoyao发布了新的文献求助10
6秒前
6秒前
songjiatian发布了新的文献求助10
7秒前
jinyu完成签到,获得积分10
8秒前
瑞翙发布了新的文献求助10
8秒前
wer完成签到,获得积分20
8秒前
奶茶鼠发布了新的文献求助10
8秒前
9秒前
申震完成签到 ,获得积分10
9秒前
haha完成签到 ,获得积分10
10秒前
pp发布了新的文献求助10
11秒前
11秒前
李爱国应助max采纳,获得10
11秒前
852应助dengb0428采纳,获得10
12秒前
12秒前
13秒前
沐夏发布了新的文献求助10
13秒前
14秒前
CGH20171006发布了新的文献求助30
14秒前
suuuuu完成签到 ,获得积分10
14秒前
伊医生发布了新的文献求助10
15秒前
哈哈哈发布了新的文献求助10
15秒前
阔达的秀发完成签到,获得积分10
17秒前
17秒前
17秒前
17秒前
18秒前
热心又蓝发布了新的文献求助10
18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
An Introduction to Foreign Language Learning and Teaching 750
China Pluperfect I: Epistemology of Past and Outside in Chinese Art 520
Matrix Methods in Data Mining and Pattern Recognition Second Edition 510
Governing Growth: Us Industrial Policy from Hamilton to Trump 500
The fast track to determining transfer functions of linear circuits: The student guide 500
The Analytical and Numerical Solution of Electric and Magnetic Fields 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 7625477
求助须知:如何正确求助?哪些是违规求助? 9200440
关于积分的说明 19726015
捐赠科研通 7196470
什么是DOI,文献DOI怎么找? 3273697
关于科研通互助平台的介绍 2435853
邀请新用户注册赠送积分活动 2269553