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      Effect of Lower vs Higher Oxygen Saturation Targets on Survival to Hospital Discharge Among Patients Resuscitated After Out-of-Hospital Cardiac Arrest : The EXACT Randomized Clinical Trial

      1 , 2 , 3 , 1 , 3 , 4 , 1 , 2 , 5 , 1 , 2 , 5 , 1 , 4 , 4 , 6 , 7 , 8 , 4 , 1 , 2 , 3 , 9 , 1 , 10 , 2 , 1 , 3 , 11 , 11 , 11 , 11 , 11 , 11 , 11 , 11 , 11 , 11 , 11 , 11 , 11 , 11 , 11 , 11 , 11 , 11 , 11 , 11 , 11 , 11 , 11 , 11 , 11 , EXACT Investigators
      JAMA
      American Medical Association (AMA)

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          Abstract

          Importance

          The administration of a high fraction of oxygen following return of spontaneous circulation in out-of-hospital cardiac arrest may increase reperfusion brain injury.

          Objective

          To determine whether targeting a lower oxygen saturation in the early phase of postresuscitation care for out-of-hospital cardiac arrest improves survival at hospital discharge.

          Design, Setting, and Participants

          This multicenter, parallel-group, randomized clinical trial included unconscious adults with return of spontaneous circulation and a peripheral oxygen saturation (Sp o 2) of at least 95% while receiving 100% oxygen. The trial was conducted in 2 emergency medical services and 15 hospitals in Victoria and South Australia, Australia, between December 11, 2017, and August 11, 2020, with data collection from ambulance and hospital medical records (final follow-up date, August 25, 2021). The trial enrolled 428 of a planned 1416 patients.

          Interventions

          Patients were randomized by paramedics to receive oxygen titration to achieve an oxygen saturation of either 90% to 94% (intervention; n = 216) or 98% to 100% (standard care; n = 212) until arrival in the intensive care unit.

          Main Outcomes and Measures

          The primary outcome was survival to hospital discharge. There were 9 secondary outcomes collected, including hypoxic episodes (Sp o 2 <90%) and prespecified serious adverse events, which included hypoxia with rearrest.

          Results

          The trial was stopped early due to the COVID-19 pandemic. Of the 428 patients who were randomized, 425 were included in the primary analysis (median age, 65.5 years; 100 [23.5%] women) and all completed the trial. Overall, 82 of 214 patients (38.3%) in the intervention group survived to hospital discharge compared with 101 of 211 (47.9%) in the standard care group (difference, −9.6% [95% CI, −18.9% to −0.2%]; unadjusted odds ratio, 0.68 [95% CI, 0.46-1.00]; P = .05). Of the 9 prespecified secondary outcomes collected during hospital stay, 8 showed no significant difference. A hypoxic episode prior to intensive care was observed in 31.3% (n = 67) of participants in the intervention group and 16.1% (n = 34) in the standard care group (difference, 15.2% [95% CI, 7.2%-23.1%]; OR, 2.37 [95% CI, 1.49-3.79]; P < .001).

          Conclusions and Relevance

          Among patients achieving return of spontaneous circulation after out-of-hospital cardiac arrest, targeting an oxygen saturation of 90% to 94%, compared with 98% to 100%, until admission to the intensive care unit did not significantly improve survival to hospital discharge. Although the trial is limited by early termination due to the COVID-19 pandemic, the findings do not support use of an oxygen saturation target of 90% to 94% in the out-of-hospital setting after resuscitation from cardiac arrest.

          Trial Registration

          ClinicalTrials.gov Identifier: NCT03138005

          Related collections

          Most cited references33

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          Development and preliminary testing of the new five-level version of EQ-5D (EQ-5D-5L)

          Purpose This article introduces the new 5-level EQ-5D (EQ-5D-5L) health status measure. Methods EQ-5D currently measures health using three levels of severity in five dimensions. A EuroQol Group task force was established to find ways of improving the instrument’s sensitivity and reducing ceiling effects by increasing the number of severity levels. The study was performed in the United Kingdom and Spain. Severity labels for 5 levels in each dimension were identified using response scaling. Focus groups were used to investigate the face and content validity of the new versions, including hypothetical health states generated from those versions. Results Selecting labels at approximately the 25th, 50th, and 75th centiles produced two alternative 5-level versions. Focus group work showed a slight preference for the wording ‘slight-moderate-severe’ problems, with anchors of ‘no problems’ and ‘unable to do’ in the EQ-5D functional dimensions. Similar wording was used in the Pain/Discomfort and Anxiety/Depression dimensions. Hypothetical health states were well understood though participants stressed the need for the internal coherence of health states. Conclusions A 5-level version of the EQ-5D has been developed by the EuroQol Group. Further testing is required to determine whether the new version improves sensitivity and reduces ceiling effects.
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            A 12-Item Short-Form Health Survey

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              ASSESSMENT OF OUTCOME AFTER SEVERE BRAIN DAMAGE A Practical Scale

              B Jennett (1975)
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                Author and article information

                Journal
                JAMA
                JAMA
                American Medical Association (AMA)
                0098-7484
                October 26 2022
                Affiliations
                [1 ]Department of Epidemiology and Preventive Medicine, Monash University, Melbourne, Victoria, Australia
                [2 ]Ambulance Victoria, Melbourne, Victoria, Australia
                [3 ]Alfred Hospital, Melbourne, Victoria, Australia
                [4 ]Prehospital, Resuscitation and Emergency Care Research Unit, Curtin University, Perth, Western Australia, Australia
                [5 ]Department of Paramedicine, Monash University, Melbourne, Victoria, Australia
                [6 ]SA Ambulance Service, Adelaide, South Australia, Australia
                [7 ]Flinders Medical Centre, Adelaide, South Australia, Australia
                [8 ]Flinders University, Adelaide, South Australia, Australia
                [9 ]Warwick University, Warwick, United Kingdom
                [10 ]Monash University, Data Science and AI Platform, Melbourne, Victoria, Australia
                [11 ]for the EXACT Investigators
                Article
                10.1001/jama.2022.17701
                36286192
                233dff46-3824-45f7-a76f-2487a591122a
                © 2022
                History

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