S71 A retrospective analysis of ROX score for predicting treatment failure and progression to invasive ventilation in COVID patients requiring enhanced respiratory support
{"title":"S71 A retrospective analysis of ROX score for predicting treatment failure and progression to invasive ventilation in COVID patients requiring enhanced respiratory support","authors":"D. Ritchie, S. Fairbairn","doi":"10.1136/thorax-2021-btsabstracts.77","DOIUrl":null,"url":null,"abstract":"S71 Table 1 ROX<3.85 ROX3.85–4.87 ROI RR ROI RR CPAP 87.5% 7 (95%CI 1.1–44.6 P0.019) 66.6% 5.33 (95%CI 0.78- 36.3 P0.043) HFNO 87.5% 9.63 (95%CI 1.45- 63.92 P0.009) 33.3% 3.66 (95%CI 0.48- 29.48 P0.11) ConclusionOur study suggests ROX score is valid in predicting intubation in COVID patients requiring enhanced respiratory support. Given the small sample size, further research utilising data from multiple sites would be useful to corroborate findings","PeriodicalId":409571,"journal":{"name":"Gazing through the crystal ball: predicting outcomes from COVID-19","volume":"95 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2021-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Gazing through the crystal ball: predicting outcomes from COVID-19","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1136/thorax-2021-btsabstracts.77","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
S71 Table 1 ROX<3.85 ROX3.85–4.87 ROI RR ROI RR CPAP 87.5% 7 (95%CI 1.1–44.6 P0.019) 66.6% 5.33 (95%CI 0.78- 36.3 P0.043) HFNO 87.5% 9.63 (95%CI 1.45- 63.92 P0.009) 33.3% 3.66 (95%CI 0.48- 29.48 P0.11) ConclusionOur study suggests ROX score is valid in predicting intubation in COVID patients requiring enhanced respiratory support. Given the small sample size, further research utilising data from multiple sites would be useful to corroborate findings