Resuscitation
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Multicenter Study
Early withdrawal of life support after resuscitation from cardiac arrest is common and may result in additional deaths.
"Early" withdrawal of life support therapies (eWLST) within the first 3 calendar days after resuscitation from cardiac arrest (CA) is discouraged. We evaluated a prospective multicenter registry of patients admitted to hospitals after resuscitation from CA to determine predictors of eWLST and estimate its impact on outcomes. ⋯ Early withdrawal of life support occurs frequently after cardiac arrest. Although the mortality of patients matched to those with eWLST was high, these data showed excess mortality with eWLST.
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Evidence of existing guidelines for the on-site triage of avalanche victims is limited and adherence suboptimal. This study attempted to find reliable cut-off values for the identification of hypothermic avalanche victims with reversible out-of-hospital cardiac arrest (OHCA) at hospital admission. This may enable hospitals to allocate extracorporeal life support (ECLS) resources more appropriately while increasing the proportion of survivors among rewarmed victims. ⋯ For in-hospital triage of avalanche victims admitted with OHCA, serum potassium accurately predicts survival. The combination of the cut-offs 7 mmol/L for serum potassium and 30 °C for core temperature achieved the lowest overtriage rate (47%) and the highest positive predictive value (19%), with a sensitivity of 100% for survivors. The presence of vital signs at extrication is strongly associated with survival. For further optimisation of in-hospital triage, larger datasets are needed to include additional parameters.
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Multicenter Study
The response to patient deterioration in the UK National Health Service - a survey of acute hospital policies.
The assessment of acute-illness severity in adult non-pregnant patients in the United Kingdom is based on early warning score (EWS) values that determine the urgency and nature of the response to patient deterioration. This study aimed to describe, and identify variations in, the expected clinical response outlined in 'deteriorating patient' policies/guidelines in acute NHS hospitals. ⋯ The 'deteriorating patient' policies of the hospitals studied varied in their contents and often omitted precise instructions for staff. We recommend that individual hospitals review these documents, and that research and/or consensus are used to develop a national algorithm regarding the response to patient deterioration.
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Multicenter Study Observational Study
Deep-learning-based out-of-hospital cardiac arrest prognostic system to predict clinical outcomes.
Out-of-hospital cardiac arrest (OHCA) is a major healthcare burden, and prognosis is critical in decision-making for treatment and the withdrawal of life-sustaining therapy. This study aimed to develop and validate a deep-learning-based out-of-hospital cardiac arrest prognostic system (DCAPS) for predicting neurologic recovery and survival to discharge. ⋯ The DCAPS predicted neurologic recovery and survival to discharge of OHCA patients accurately and outperformed the conventional method and other machine-learning methods.
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Randomized Controlled Trial Multicenter Study
The Use of Dispatcher Assistance in Improving the Quality of Cardiopulmonary Resuscitation: A Randomised Controlled Trial.
The introduction of dispatcher assistance (DA) services has led to increased bystander cardiopulmonary resuscitation (CPR) participation rates. However, the extent to which DA improves CPR quality remains unclear. This study aimed to evaluate the efficacy of DA in improving CPR quality among healthcare professionals and laypersons within a multi-ethnic Southeast Asian population. ⋯ DA should be provided to laypersons without valid CPR certification, as well as healthcare professionals. The identification of gaps in the current DA protocol highlights areas where specific changes can be made to improve CPR quality.