Resuscitation
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Cardiopulmonary resuscitation (CPR) improves cardiac arrest survival. Cough CPR, percussion pacing and precordial thump have been reported as alternative CPR techniques. We aimed to summarise in a systematic review the effectiveness of these alternative CPR techniques. ⋯ CRD42019152925.
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Multicenter Study Observational Study
Arterial carbon dioxide tension has a non-linear association with survival after out-of-hospital cardiac arrest: a multicentre observational study.
International guidelines recommend targeting normocapnia in mechanically ventilated out-of-hospital cardiac arrest (OHCA) survivors, but the optimal arterial carbon dioxide (PaCO2) target remains controversial. We hypothesised that the relationship between PaCO2 and survival is non-linear, and targeting an intermediate level of PaCO2 compared to a low or high PaCO2 in the first 24-h of ICU admission is associated with an improved survival to hospital discharge (STHD) and at 12-months. ⋯ Normocapnia within the first 24-h of intensive care admission after OHCA was associated with an improved survival compared to patients with hypocapnia or hypercapnia.
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Correct identification of futile prehospital resuscitation for out-of-hospital cardiac arrest (OHCA) may reduce unnecessary transports. Prehospital return of spontaneous circulation (ROSC) is considered by many to be an important predictor of outcome. The purpose of this study was to evaluate OHCA victims without prehospital ROSC characteristics and their outcomes in relation to the universal Termination of Resuscitation (TOR) rule. ⋯ Continued resuscitation and transport of cases with no field ROSC who fulfill the TOR rule is futile and could be considered for adoption in Japan.
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Observational Study
Machine learning can support dispatchers to better and faster recognize out-of-hospital cardiac arrest during emergency calls: A retrospective study.
Fast recognition of out-of-hospital cardiac arrest (OHCA) by dispatchers might increase survival. The aim of this observational study of emergency calls was to (1) examine whether a machine learning framework (ML) can increase the proportion of calls recognizing OHCA within the first minute compared with dispatchers, (2) present the performance of ML with different false positive rate (FPR) settings, (3) examine call characteristics influencing OHCA recognition. ⋯ ML recognized a higher proportion of OHCA within the first minute compared with dispatchers and has the potential to be a supportive tool during emergency calls. The optimal FPR settings need to be evaluated in a prospective study.
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We aimed to evaluate neurological profiles of patients with in-hospital cardiac arrest (IHCA) from early time points to long-term follow-up periods. ⋯ Among patients with IHCA, awakening and neurological recovery were remarkable throughout the first week. Survival and good neurological status were substantial at 12 months after IHCA.