Automated oxygen delivery for preterm infants with respiratory dysfunction

医学 早产儿视网膜病变 支气管肺发育不良 吸入氧分数 置信区间 重症监护 氧气疗法 胎龄 新生儿重症监护室 荟萃分析 相对风险 儿科 随机对照试验 重症监护医学 麻醉 怀孕 外科 机械通风 内科学 遗传学 生物
作者
Isabella G. Stafford,Nai Ming Lai,Kenneth Tan
出处
期刊:The Cochrane library [Elsevier BV]
卷期号:2023 (11) 被引量:3
标识
DOI:10.1002/14651858.cd013294.pub2
摘要

Background Many preterm infants require respiratory support to maintain an optimal level of oxygenation, as oxygen levels both below and above the optimal range are associated with adverse outcomes. Optimal titration of oxygen therapy for these infants presents a major challenge, especially in neonatal intensive care units (NICUs) with suboptimal staffing. Devices that offer automated oxygen delivery during respiratory support of neonates have been developed since the 1970s, and individual trials have evaluated their effectiveness. Objectives To assess the benefits and harms of automated oxygen delivery systems, embedded within a ventilator or oxygen delivery device, for preterm infants with respiratory dysfunction who require respiratory support or supplemental oxygen therapy. Search methods We searched CENTRAL, MEDLINE, CINAHL, and clinical trials databases without language or publication date restrictions on 23 January 2023. We also checked the reference lists of retrieved articles for other potentially eligible trials. Selection criteria We included randomised controlled trials and randomised cross‐over trials that compared automated oxygen delivery versus manual oxygen delivery, or that compared different automated oxygen delivery systems head‐to‐head, in preterm infants (born before 37 weeks' gestation). Data collection and analysis We used standard Cochrane methods. Our main outcomes were time (%) in desired oxygen saturation (SpO2) range, all‐cause in‐hospital mortality by 36 weeks' postmenstrual age, severe retinopathy of prematurity (ROP), and neurodevelopmental outcomes at approximately two years' corrected age. We expressed our results using mean difference (MD), standardised mean difference (SMD), and risk ratio (RR) with 95% confidence intervals (CIs). We used GRADE to assess the certainty of evidence. Main results We included 18 studies (27 reports, 457 infants), of which 13 (339 infants) contributed data to meta‐analyses. We identified 13 ongoing studies. We evaluated three comparisons: automated oxygen delivery versus routine manual oxygen delivery (16 studies), automated oxygen delivery versus enhanced manual oxygen delivery with increased staffing (three studies), and one automated system versus another (two studies). Most studies were at low risk of bias for blinding of personnel and outcome assessment, incomplete outcome data, and selective outcome reporting; and half of studies were at low risk of bias for random sequence generation and allocation concealment. However, most were at high risk of bias in an important domain specific to cross‐over trials, as only two of 16 cross‐over trials provided separate outcome data for each period of the intervention (before and after cross‐over). Automated oxygen delivery versus routine manual oxygen delivery Automated delivery compared with routine manual oxygen delivery probably increases time (%) in the desired SpO2 range (MD 13.54%, 95% CI 11.69 to 15.39; I2 = 80%; 11 studies, 284 infants; moderate‐certainty evidence). No studies assessed in‐hospital mortality. Automated oxygen delivery compared to routine manual oxygen delivery may have little or no effect on risk of severe ROP (RR 0.24, 95% CI 0.03 to 1.94; 1 study, 39 infants; low‐certainty evidence). No studies assessed neurodevelopmental outcomes. Automated oxygen delivery versus enhanced manual oxygen delivery There may be no clear difference in time (%) in the desired SpO2 range between infants who receive automated oxygen delivery and infants who receive manual oxygen delivery (MD 7.28%, 95% CI −1.63 to 16.19; I2 = 0%; 2 studies, 19 infants; low‐certainty evidence). No studies assessed in‐hospital mortality, severe ROP, or neurodevelopmental outcomes. Revised closed‐loop automatic control algorithm (CLACfast) versus original closed‐loop automatic control algorithm (CLACslow) CLACfast allowed up to 120 automated adjustments per hour, whereas CLACslow allowed up to 20 automated adjustments per hour. CLACfast may result in little or no difference in time (%) in the desired SpO2 range compared to CLACslow (MD 3.00%, 95% CI −3.99 to 9.99; 1 study, 19 infants; low‐certainty evidence). No studies assessed in‐hospital mortality, severe ROP, or neurodevelopmental outcomes. OxyGenie compared to CLiO2 Data from a single small study were presented as medians and interquartile ranges and were not suitable for meta‐analysis. Authors' conclusions Automated oxygen delivery compared to routine manual oxygen delivery probably increases time in desired SpO2 ranges in preterm infants on respiratory support. However, it is unclear whether this translates into important clinical benefits. The evidence on clinical outcomes such as severe retinopathy of prematurity are of low certainty, with little or no differences between groups. There is insufficient evidence to reach any firm conclusions on the effectiveness of automated oxygen delivery compared to enhanced manual oxygen delivery or CLACfast compared to CLACslow. Future studies should include important short‐ and long‐term clinical outcomes such as mortality, severe ROP, bronchopulmonary dysplasia/chronic lung disease, intraventricular haemorrhage, periventricular leukomalacia, patent ductus arteriosus, necrotising enterocolitis, and long‐term neurodevelopmental outcomes. The ideal study design for this evaluation is a parallel‐group randomised controlled trial. Studies should clearly describe staffing levels, especially in the manual arm, to enable an assessment of reproducibility according to resources in various settings. The data of the 13 ongoing studies, when made available, may change our conclusions, including the implications for practice and research.

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
兵王发布了新的文献求助10
1秒前
悦耳小夏发布了新的文献求助10
1秒前
2秒前
打打的应助被科研通管家采纳,获得10
2秒前
天天快乐的应助被科研通管家采纳,获得10
2秒前
脑洞疼的应助被科研通管家采纳,获得10
2秒前
大模型的应助被科研通管家采纳,获得10
2秒前
大个的应助被科研通管家采纳,获得10
2秒前
科研通AI6.4的应助被Lightning123采纳,获得30
2秒前
丘比特的应助被科研通管家采纳,获得10
3秒前
小二郎的应助被科研通管家采纳,获得10
3秒前
Akim的应助被科研通管家采纳,获得10
3秒前
3秒前
以恒之心完成签到,获得积分10
3秒前
李健的应助被科研通管家采纳,获得10
3秒前
3秒前
DW的应助被科研通管家采纳,获得10
3秒前
赘婿的应助被科研通管家采纳,获得10
3秒前
4秒前
充电宝的应助被科研通管家采纳,获得10
4秒前
思源的应助被科研通管家采纳,获得20
4秒前
xing_xing的应助被科研通管家采纳,获得20
4秒前
今后的应助被科研通管家采纳,获得10
4秒前
豆沙饭团的应助被科研通管家采纳,获得10
4秒前
可爱电话发布了新的文献求助20
4秒前
天天快乐的应助被科研通管家采纳,获得10
4秒前
bkagyin的应助被科研通管家采纳,获得10
4秒前
小蘑菇的应助被科研通管家采纳,获得10
5秒前
上官若男的应助被科研通管家采纳,获得10
5秒前
脑洞疼的应助被一首简单的歌采纳,获得10
5秒前
所所的应助被科研通管家采纳,获得10
5秒前
乐乐的应助被科研通管家采纳,获得10
5秒前
Jasper的应助被科研通管家采纳,获得10
5秒前
orixero的应助被东1991采纳,获得10
5秒前
桐桐的应助被科研通管家采纳,获得10
5秒前
5秒前
orixero的应助被王欣采纳,获得10
5秒前
wanci的应助被科研通管家采纳,获得10
6秒前
6秒前
无花果的应助被科研通管家采纳,获得10
6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
自動車の空力技術 800
Essentials of Carbohydrate Chemistry and Biochemistry, 4th Edition 800
Organizational Behavior 510
Management and the Arts 510
Matrix Methods in Data Mining and Pattern Recognition Second Edition 510
Issues in Task-Based Language Teaching 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 计算机科学 化学工程 工程类 有机化学 物理 复合材料 生物化学 内科学 细胞生物学 基因 遗传学 免疫学 冶金 光电子学 癌症研究
热门帖子
关注 科研通微信公众号,转发送积分 7783756
求助须知:如何正确求助?哪些是违规求助? 9323034
关于积分的说明 20392824
捐赠科研通 7372379
什么是DOI,文献DOI怎么找? 3320767
关于科研通互助平台的介绍 2468765
邀请新用户注册赠送积分活动 2336986