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Real-life time and distance covered by lay first responders alerted by means of smartphone-application

Implications for early initiation of cardiopulmonary resuscitation and access to automatic external defibrillators

Angelo Auricchio (a,c,*), Lorenzo Gianquintieri (c,d), Roman Burkart (c),
Claudio Benvenuti (c), Sandro Muschietti (e), Stefano Peluso (f,h), Antonietta Mira (f,g),
Tiziano Moccetti (a,c), Maria Luce Caputo (a,b)

  1. Cardiocentro Ticino, Lugano, Switzerland,

  2. Department of Molecular Medicine, University of Pavia, Coronary Care Unit and Cardiovascular Clinical Research Center, Fondazione IRCCS Policlinico San Matteo, Pavia, Italy,

  3. Fondazione Ticino Cuore, Breganzona, Switzerland,

  4. Department of Electronics, Information and Bioengineering, Politecnico di Milano, Milan, Italy,

  5. Federazione Cantonale Ticinese Servizi Autoambulanze, Lugano, Switzerland,

  6. Data Science Lab, Institute of Computational Science, Universita` della Svizzera Italiana, Lugano, Switzerland,

  7. Department of Science and High Technology, Università dell’Insubria, Italy,

  8. Department of Statistical Sciences, Università Cattolica del Sacro Cuore, Milan, Italy

Resuscitation 141 (August 2019) 182–187

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Indietro
Indietro
26 novembre

Spatio-temporal prediction model of out-of-hospital cardiac arrest: Designation of medical priorities and estimation of human resources requirement

Avanti
Avanti
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End-tidal carbon dioxide (ETCO2) at intubation and its increase after 10 minutes resuscitation predicts survival with good neurological outcome in out-of-hospital cardiac arrest patients