Resuscitation
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Our study aimed to identify a strategy that maximizes survival upon hospital discharge or 30-days post out-of-hospital cardiac arrest (OHCA) in Singapore for fixed investments of S$1, S$5, or S$10 million. Four strategies were compared: (1) no additional investment; (2) reducing response time via leasing of more ambulances; (3) increasing number of people trained in cardiopulmonary resuscitation (CPR); and (4) automated external defibrillators (AED). ⋯ Investing in AEDs had the most gain in survival.
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Outcome prediction after out-of-hospital cardiac arrest (OHCA) may lead to withdrawal of life-sustaining therapy if the prognosis is perceived negative. Single use of uncertain prognostic tools may lead to self-fulfilling prophecies and death. We evaluated prognostic tests, blinded to clinicians and without calls for hasty outcome prediction, in a prospective study. ⋯ Time to awakening was over six days in good outcome patients. Most clinical parameters had too high FPRs for prognostication, except for absent PLR and SSEP-responses >72 h after sedation withdrawal, and increased NSE later than 24 h to >80 μg/L.
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Review Meta Analysis
Paediatric traumatic out-of-hospital cardiac arrest: A systematic review and meta-analysis.
In this study, we sought to quantitatively describe the survival outcomes, incidence rates, and predictors of survival after paediatric traumatic out-of-hospital cardiac arrest (OHCA). ⋯ Survival outcomes of paediatric traumatic OHCA are poor and existing studies report varying incidence rates. The absence of large prospective and international registry data hinders the development of novel strategies to improve survival rates.
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Numerous studies have shown significant neighbourhood level variation in out-of-hospital cardiac arrest (OHCA) incidence rates, however, few have provided an explanation for these disparities beyond traditional socioeconomic measures. ⋯ This study showed almost 4-fold OHCA incidence variability across a large metropolitan area. This variability was partially correlated with population and health data, but not typical socioeconomic predictors, such as median household income.