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               <mods:identifier type="citation">Arch Cardiol Mex. 2018; 88(5):460-467</mods:identifier>
               <mods:identifier type="doi">10.1016/j.acmx.2018.05.003</mods:identifier>
               <mods:identifier type="e-issn">1665-1731</mods:identifier>
               <mods:identifier type="issn">1405-9940</mods:identifier>
               <mods:identifier type="journal">Archivos de cardiologia de Mexico</mods:identifier>
               <mods:identifier type="pubmedID">29885765</mods:identifier>
               <mods:identifier type="uri">http://hdl.handle.net/20.500.12105/7156</mods:identifier>
               <mods:abstract>OBJECTIVE: Ventricular fibrillation (VF)-related sudden cardiac death (SCD) is a leading cause of mortality and morbidity. Current biological and imaging parameters show significant limitations on predicting cerebral performance at hospital admission. The AWAKE study (NCT03248557) is a multicentre observational study to validate a model based on spectral ECG analysis to early predict cerebral performance and survival in resuscitated comatose survivors. METHODS: Data from VF ECG tracings of patients resuscitated from SCD will be collected using an electronic Case Report Form. Patients can be either comatose (Glasgow Coma Scale - GCS - ≤8) survivors undergoing temperature control after return of spontaneous circulation (RoSC), or those who regain consciousness (GCS=15) after RoSC; all admitted to Intensive Cardiac Care Units in 4 major university hospitals. VF tracings prior to the first direct current shock will be digitized and analyzed to derive spectral data and feed a predictive model to estimate favorable neurological performance (FNP). The results of the model will be compared to the actual prognosis. RESULTS: The primary clinical outcome is FNP during hospitalization. Patients will be categorized into 4 subsets of neurological prognosis according to the risk score obtained from the predictive model. The secondary clinical outcomes are survival to hospital discharge, and FNP and survival after 6 months of follow-up. The model-derived categorisation will be also compared with clinical variables to assess model sensitivity, specificity, and accuracy. CONCLUSIONS: A model based on spectral analysis of VF tracings is a promising tool to obtain early prognostic data after SCD.</mods:abstract>
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                  <mods:topic>Coma</mods:topic>
               </mods:subject>
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                  <mods:topic>España</mods:topic>
               </mods:subject>
               <mods:subject>
                  <mods:topic>Fibrilación ventricular</mods:topic>
               </mods:subject>
               <mods:subject>
                  <mods:topic>Muerte súbita</mods:topic>
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                  <mods:topic>Prognosis</mods:topic>
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               <mods:subject>
                  <mods:topic>Pronóstico</mods:topic>
               </mods:subject>
               <mods:subject>
                  <mods:topic>Reanimación</mods:topic>
               </mods:subject>
               <mods:subject>
                  <mods:topic>Resuscitation</mods:topic>
               </mods:subject>
               <mods:subject>
                  <mods:topic>Spain</mods:topic>
               </mods:subject>
               <mods:subject>
                  <mods:topic>Sudden cardiac death</mods:topic>
               </mods:subject>
               <mods:subject>
                  <mods:topic>Ventricular fibrillation</mods:topic>
               </mods:subject>
               <mods:subject>
                  <mods:topic>Wavelet analysis</mods:topic>
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               <mods:titleInfo>
                  <mods:title>Early prognostic value of an Algorithm based on spectral Variables of Ventricular fibrillAtion from the EKG of patients with suddEn cardiac death: A multicentre observational study (AWAKE)</mods:title>
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