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]
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
更新
PDF的下载单位、IP信息已删除 (2025-6-4)

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
肌肉猛男完成签到,获得积分10
1秒前
领导范儿应助memorise采纳,获得30
1秒前
SciGPT应助龙江游侠采纳,获得10
1秒前
火星上的西牛完成签到,获得积分10
1秒前
qwdqwd完成签到,获得积分10
1秒前
2秒前
3秒前
3秒前
明理的蜗牛完成签到,获得积分10
3秒前
pharrah完成签到,获得积分10
3秒前
Qianyun完成签到,获得积分10
3秒前
3秒前
吴淑明完成签到,获得积分10
4秒前
clara完成签到,获得积分10
4秒前
喵喵发布了新的文献求助10
4秒前
4秒前
kosmos完成签到,获得积分10
4秒前
里苏特完成签到,获得积分10
4秒前
4秒前
qll完成签到,获得积分10
5秒前
读书娃儿完成签到,获得积分10
5秒前
5秒前
xue发布了新的文献求助10
5秒前
5秒前
艾席文完成签到,获得积分10
6秒前
陈开月完成签到,获得积分10
6秒前
胡图图完成签到,获得积分10
6秒前
田様应助Adzuki0812采纳,获得10
6秒前
曲线发布了新的文献求助10
6秒前
6秒前
lore完成签到,获得积分10
6秒前
江江完成签到,获得积分10
6秒前
结实的惊蛰完成签到,获得积分20
6秒前
啊阿阿阿沐完成签到,获得积分10
7秒前
7秒前
clara发布了新的文献求助10
7秒前
7秒前
奋斗叫兽完成签到 ,获得积分10
7秒前
芒果完成签到,获得积分10
8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
List of 1,091 Public Pension Profiles by Region 1621
Les Mantodea de Guyane: Insecta, Polyneoptera [The Mantids of French Guiana] | NHBS Field Guides & Natural History 1500
Lloyd's Register of Shipping's Approach to the Control of Incidents of Brittle Fracture in Ship Structures 1000
Brittle fracture in welded ships 1000
Metagames: Games about Games 700
King Tyrant 680
热门求助领域 (近24小时)
化学 材料科学 生物 医学 工程类 计算机科学 有机化学 物理 生物化学 纳米技术 复合材料 内科学 化学工程 人工智能 催化作用 遗传学 数学 基因 量子力学 物理化学
热门帖子
关注 科研通微信公众号,转发送积分 5573997
求助须知:如何正确求助?哪些是违规求助? 4660326
关于积分的说明 14728933
捐赠科研通 4600192
什么是DOI,文献DOI怎么找? 2524706
邀请新用户注册赠送积分活动 1495014
关于科研通互助平台的介绍 1465017