Charlotte H Harrison,Phoebe Tupper,Stephen Gerry,Verena Michael,Jonathan P Bedford,Carolyn Smith,Chris Subbe,Oliver Redfern,Peter J Watkinson
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Where reported, we summarised the performance of graded oxygen EWS in comparison to binary scoring (part 2).\r\n\r\nMETHODS\r\nWe systematically reviewed the literature, searching Embase, MEDLINE, CINAHL, Cochrane Central and Web of Science. We included studies of vital-sign-only EWS, for adult inpatients, which included grades of oxygen therapy above binary weighting ('graded oxygen weighting'). We summarised methods of including graded oxygen therapy. We performed a random-effects meta-analysis of the effects of graded oxygen weighting inclusion in comparison to binary weighting. Risk of bias was assessed using the Prediction model Risk Of Bias ASsessment Tool.\r\n\r\nRESULTS\r\n15 studies reported the development of 16 EWS with graded oxygen weighting, classified by flow rate, delivery device and/or fraction of inspired oxygen. Four studies compared graded oxygen EWS to binary oxygen EWS. 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引用次数: 0
摘要
背景:世界各地使用的严重预警系统(EWS)通常会给接受补充氧气的患者分配一个固定的分数,而不管吸氧量是多少。这种有序的二元方法可能无法识别那些需氧量增加的恶化患者,否则观察结果稳定。目前尚不清楚在二元评分之外的氧加权是否能改善对恶化的识别。目的:我们旨在描述所有超出二元评分的一般成人EWS(第1部分)。在报告中,我们总结了分级氧EWS与二元评分的性能(第2部分)。方法系统地检索Embase、MEDLINE、CINAHL、Cochrane Central和Web of Science等文献。我们纳入了针对成年住院患者的仅限生命体征的EWS研究,其中包括高于二元加权的氧治疗等级(“分级氧加权”)。我们总结了包括分级氧疗在内的治疗方法。我们对分级氧加权纳入与二元加权的效果进行了随机效应荟萃分析。使用预测模型偏倚风险评估工具评估偏倚风险。结果15项研究报告了16种EWS的分级氧加权,按流量、输送装置和/或吸入氧的比例进行分类。四项研究比较了分级氧EWS和二元氧EWS。meta分析显示,分级氧EWS的性能显著优于二元氧EWS (logit(AUROC)=0.19;95% CI 0.094 ~ 0.285;p = 0.002)。15/16个模型存在高偏倚风险。结论共鉴定出16种氧重分级的EWS。分级氧模型提高了对恶化的识别。未来的工作应该探索氧气分类的最佳方法,以及如何将其整合到未来的EWS中。普洛斯彼罗注册号crd42024443362。
Oxygen therapy in early warning scores: a systematic review and meta-analysis.
BACKGROUND
Early warning systems (EWS) used across the world typically assign a fixed number of points to patients receiving supplemental oxygen, regardless of amount. This ordinal binary approach may fail to recognise deteriorating patients who have an increasing oxygen requirement with otherwise stable observations. It is unclear whether weighting oxygen beyond binary scoring improves recognition of deterioration.
AIMS
We aimed to describe all general adult EWS that grade oxygen beyond binary scoring (part 1). Where reported, we summarised the performance of graded oxygen EWS in comparison to binary scoring (part 2).
METHODS
We systematically reviewed the literature, searching Embase, MEDLINE, CINAHL, Cochrane Central and Web of Science. We included studies of vital-sign-only EWS, for adult inpatients, which included grades of oxygen therapy above binary weighting ('graded oxygen weighting'). We summarised methods of including graded oxygen therapy. We performed a random-effects meta-analysis of the effects of graded oxygen weighting inclusion in comparison to binary weighting. Risk of bias was assessed using the Prediction model Risk Of Bias ASsessment Tool.
RESULTS
15 studies reported the development of 16 EWS with graded oxygen weighting, classified by flow rate, delivery device and/or fraction of inspired oxygen. Four studies compared graded oxygen EWS to binary oxygen EWS. Meta-analysis showed a significant improvement in the performance of graded oxygen EWS over binary oxygen EWS (logit(AUROC)=0.19; 95% CI 0.094 to 0.285; p=0.002). 15/16 models were at high risk of bias.
CONCLUSIONS
16 EWS with graded oxygen weighting were identified. Graded oxygen models had improved recognition of deterioration. Future work should explore the optimal method of oxygen classification and how this could be integrated into future EWS.
PROSPERO REGISTRATION NUMBER
CRD42024443362.
期刊介绍:
Thorax stands as one of the premier respiratory medicine journals globally, featuring clinical and experimental research articles spanning respiratory medicine, pediatrics, immunology, pharmacology, pathology, and surgery. The journal's mission is to publish noteworthy advancements in scientific understanding that are poised to influence clinical practice significantly. This encompasses articles delving into basic and translational mechanisms applicable to clinical material, covering areas such as cell and molecular biology, genetics, epidemiology, and immunology.