Spectral analysis-based risk score enables early prediction of mortality and cerebral performance in patients undergoing therapeutic hypothermia for ventricular fibrillation and comatose status

Abstract Background Early prognosis in comatose survivors after cardiac arrest due to ventricular fibrillation (VF) is unreliable, especially in patients undergoing mild hypothermia. We aimed at developing a reliable risk-score to enable early prediction of cerebral performance and survival. Methods...

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Veröffentlicht in:International journal of cardiology 2015-05, Vol.186, p.250-258
Hauptverfasser: Filgueiras-Rama, David, Calvo, Conrado J, Salvador-Montañés, Óscar, Cádenas, Rosalía, Ruiz-Cantador, Jose, Armada, Eduardo, Rey, Juan Ramón, Merino, J.L, Peinado, Rafael, Pérez-Castellano, Nicasio, Pérez-Villacastín, Julián, Quintanilla, Jorge G, Jiménez, Santiago, Castells, Francisco, Chorro, Francisco J, López-Sendón, J.L, Berenfeld, Omer, Jalife, José, de Sá, Esteban López, Millet, José
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container_start_page 250
container_title International journal of cardiology
container_volume 186
creator Filgueiras-Rama, David
Calvo, Conrado J
Salvador-Montañés, Óscar
Cádenas, Rosalía
Ruiz-Cantador, Jose
Armada, Eduardo
Rey, Juan Ramón
Merino, J.L
Peinado, Rafael
Pérez-Castellano, Nicasio
Pérez-Villacastín, Julián
Quintanilla, Jorge G
Jiménez, Santiago
Castells, Francisco
Chorro, Francisco J
López-Sendón, J.L
Berenfeld, Omer
Jalife, José
de Sá, Esteban López
Millet, José
description Abstract Background Early prognosis in comatose survivors after cardiac arrest due to ventricular fibrillation (VF) is unreliable, especially in patients undergoing mild hypothermia. We aimed at developing a reliable risk-score to enable early prediction of cerebral performance and survival. Methods Sixty-one out of 239 consecutive patients undergoing mild hypothermia after cardiac arrest, with eventual return of spontaneous circulation (ROSC), and comatose status on admission fulfilled the inclusion criteria. Background clinical variables, VF time and frequency domain fundamental variables were considered. The primary and secondary outcomes were a favorable neurological performance (FNP) during hospitalization and survival to hospital discharge, respectively. The predictive model was developed in a retrospective cohort (n = 32; September 2006–September 2011, 48.5 ± 10.5 months of follow-up) and further validated in a prospective cohort (n = 29; October 2011–July 2013, 5 ± 1.8 months of follow-up). Results FNP was present in 16 (50.0%) and 21 patients (72.4%) in the retrospective and prospective cohorts, respectively. Seventeen (53.1%) and 21 patients (72.4%), respectively, survived to hospital discharge. Both outcomes were significantly associated (p < 0.001). Retrospective multivariate analysis provided a prediction model (sensitivity = 0.94, specificity = 1) that included spectral dominant frequency, derived power density and peak ratios between high and low frequency bands, and the number of shocks delivered before ROSC. Validation on the prospective cohort showed sensitivity = 0.88 and specificity = 0.91. A model-derived risk-score properly predicted 93% of FNP. Testing the model on follow-up showed a c-statistic ≥ 0.89. Conclusions A spectral analysis-based model reliably correlates time-dependent VF spectral changes with acute cerebral injury in comatose survivors undergoing mild hypothermia after cardiac arrest.
doi_str_mv 10.1016/j.ijcard.2015.03.074
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We aimed at developing a reliable risk-score to enable early prediction of cerebral performance and survival. Methods Sixty-one out of 239 consecutive patients undergoing mild hypothermia after cardiac arrest, with eventual return of spontaneous circulation (ROSC), and comatose status on admission fulfilled the inclusion criteria. Background clinical variables, VF time and frequency domain fundamental variables were considered. The primary and secondary outcomes were a favorable neurological performance (FNP) during hospitalization and survival to hospital discharge, respectively. The predictive model was developed in a retrospective cohort (n = 32; September 2006–September 2011, 48.5 ± 10.5 months of follow-up) and further validated in a prospective cohort (n = 29; October 2011–July 2013, 5 ± 1.8 months of follow-up). Results FNP was present in 16 (50.0%) and 21 patients (72.4%) in the retrospective and prospective cohorts, respectively. Seventeen (53.1%) and 21 patients (72.4%), respectively, survived to hospital discharge. Both outcomes were significantly associated (p &lt; 0.001). Retrospective multivariate analysis provided a prediction model (sensitivity = 0.94, specificity = 1) that included spectral dominant frequency, derived power density and peak ratios between high and low frequency bands, and the number of shocks delivered before ROSC. Validation on the prospective cohort showed sensitivity = 0.88 and specificity = 0.91. A model-derived risk-score properly predicted 93% of FNP. Testing the model on follow-up showed a c-statistic ≥ 0.89. Conclusions A spectral analysis-based model reliably correlates time-dependent VF spectral changes with acute cerebral injury in comatose survivors undergoing mild hypothermia after cardiac arrest.</description><identifier>ISSN: 0167-5273</identifier><identifier>EISSN: 1874-1754</identifier><identifier>DOI: 10.1016/j.ijcard.2015.03.074</identifier><identifier>PMID: 25828128</identifier><language>eng</language><publisher>Netherlands: Elsevier Ireland Ltd</publisher><subject>Brain - physiopathology ; Cardiac arrest ; Cardiovascular ; Cerebral injury ; Coma - etiology ; Coma - mortality ; Coma - therapy ; Dominant frequency ; Early prognosis ; Female ; Follow-Up Studies ; Humans ; Hypothermia, Induced - methods ; Male ; Middle Aged ; Out-of-Hospital Cardiac Arrest - complications ; Out-of-Hospital Cardiac Arrest - therapy ; Prognosis ; Prospective Studies ; Risk Assessment - methods ; Survival Rate - trends ; Time Factors ; Ventricular fibrillation ; Ventricular Fibrillation - complications ; Ventricular Fibrillation - mortality ; Ventricular Fibrillation - therapy</subject><ispartof>International journal of cardiology, 2015-05, Vol.186, p.250-258</ispartof><rights>Elsevier Ireland Ltd</rights><rights>2015 Elsevier Ireland Ltd</rights><rights>Copyright © 2015 Elsevier Ireland Ltd. 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We aimed at developing a reliable risk-score to enable early prediction of cerebral performance and survival. Methods Sixty-one out of 239 consecutive patients undergoing mild hypothermia after cardiac arrest, with eventual return of spontaneous circulation (ROSC), and comatose status on admission fulfilled the inclusion criteria. Background clinical variables, VF time and frequency domain fundamental variables were considered. The primary and secondary outcomes were a favorable neurological performance (FNP) during hospitalization and survival to hospital discharge, respectively. The predictive model was developed in a retrospective cohort (n = 32; September 2006–September 2011, 48.5 ± 10.5 months of follow-up) and further validated in a prospective cohort (n = 29; October 2011–July 2013, 5 ± 1.8 months of follow-up). Results FNP was present in 16 (50.0%) and 21 patients (72.4%) in the retrospective and prospective cohorts, respectively. Seventeen (53.1%) and 21 patients (72.4%), respectively, survived to hospital discharge. Both outcomes were significantly associated (p &lt; 0.001). Retrospective multivariate analysis provided a prediction model (sensitivity = 0.94, specificity = 1) that included spectral dominant frequency, derived power density and peak ratios between high and low frequency bands, and the number of shocks delivered before ROSC. Validation on the prospective cohort showed sensitivity = 0.88 and specificity = 0.91. A model-derived risk-score properly predicted 93% of FNP. Testing the model on follow-up showed a c-statistic ≥ 0.89. Conclusions A spectral analysis-based model reliably correlates time-dependent VF spectral changes with acute cerebral injury in comatose survivors undergoing mild hypothermia after cardiac arrest.</description><subject>Brain - physiopathology</subject><subject>Cardiac arrest</subject><subject>Cardiovascular</subject><subject>Cerebral injury</subject><subject>Coma - etiology</subject><subject>Coma - mortality</subject><subject>Coma - therapy</subject><subject>Dominant frequency</subject><subject>Early prognosis</subject><subject>Female</subject><subject>Follow-Up Studies</subject><subject>Humans</subject><subject>Hypothermia, Induced - methods</subject><subject>Male</subject><subject>Middle Aged</subject><subject>Out-of-Hospital Cardiac Arrest - complications</subject><subject>Out-of-Hospital Cardiac Arrest - therapy</subject><subject>Prognosis</subject><subject>Prospective Studies</subject><subject>Risk Assessment - methods</subject><subject>Survival Rate - trends</subject><subject>Time Factors</subject><subject>Ventricular fibrillation</subject><subject>Ventricular Fibrillation - complications</subject><subject>Ventricular Fibrillation - mortality</subject><subject>Ventricular Fibrillation - therapy</subject><issn>0167-5273</issn><issn>1874-1754</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2015</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><recordid>eNqFUstu1DAUjRCIDoU_QMhLNgm247w2SKjiJVViUVhbN_bNjKdOHGxnpHwef4bTKeWxYWXFPo97c06WvWS0YJTVb46FOSrwuuCUVQUtC9qIR9mOtY3IWVOJx9kuwZq84k15kT0L4UgpFV3XPs0ueNXylvF2l_24mVFFD5bABHYNJuQ9BNTEm3BLgnIeCU7QWwwEwduVzB61UdG4ibiBjM5HsCauia-JQo_9JjajH5wfYVJIzERmiAanGMgyafR7Z6Y9iQf0MOMSjSKHdXbb92iAJB45JbA3arHgyWB6b6yFO8c7EzdCdAFJiBCX8Dx7MoAN-OL-vMy-fXj_9epTfv3l4-erd9e5qlgb874WoPphwBqQadHVTV0OCMAU14JDx-pWdVwMXIlBQ6VrVve8Ra007QRQLC-zt2fdeenHdL-NCFbO3ozgV-nAyL9fJnOQe3eSVVW3gtdJ4PW9gHffFwxRjiYoTKtN6JYg0wS0q7pGNAkqzlDlXQgehwcbRuWWvjzKc_pyS1_SUqb0E-3VnyM-kH7F_XsHTD_qZNDLoFIwKiXqUw2kduZ_Dv8KKGsmo8De4orh6BafapR2kYFLKm-2Bm4FZBWlJeNV-RPy4OEL</recordid><startdate>20150501</startdate><enddate>20150501</enddate><creator>Filgueiras-Rama, David</creator><creator>Calvo, Conrado J</creator><creator>Salvador-Montañés, Óscar</creator><creator>Cádenas, Rosalía</creator><creator>Ruiz-Cantador, Jose</creator><creator>Armada, Eduardo</creator><creator>Rey, Juan Ramón</creator><creator>Merino, J.L</creator><creator>Peinado, Rafael</creator><creator>Pérez-Castellano, Nicasio</creator><creator>Pérez-Villacastín, Julián</creator><creator>Quintanilla, Jorge G</creator><creator>Jiménez, Santiago</creator><creator>Castells, Francisco</creator><creator>Chorro, Francisco J</creator><creator>López-Sendón, J.L</creator><creator>Berenfeld, Omer</creator><creator>Jalife, José</creator><creator>de Sá, Esteban López</creator><creator>Millet, José</creator><general>Elsevier Ireland Ltd</general><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7X8</scope><scope>5PM</scope></search><sort><creationdate>20150501</creationdate><title>Spectral analysis-based risk score enables early prediction of mortality and cerebral performance in patients undergoing therapeutic hypothermia for ventricular fibrillation and comatose status</title><author>Filgueiras-Rama, David ; Calvo, Conrado J ; Salvador-Montañés, Óscar ; Cádenas, Rosalía ; Ruiz-Cantador, Jose ; Armada, Eduardo ; Rey, Juan Ramón ; Merino, J.L ; Peinado, Rafael ; Pérez-Castellano, Nicasio ; Pérez-Villacastín, Julián ; Quintanilla, Jorge G ; Jiménez, Santiago ; Castells, Francisco ; Chorro, Francisco J ; López-Sendón, J.L ; Berenfeld, Omer ; Jalife, José ; de Sá, Esteban López ; Millet, José</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c518t-b64acbffe6ae1d496763feaa1c2d42a9168c924f2c4fda5d616b28edcd094a0e3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2015</creationdate><topic>Brain - physiopathology</topic><topic>Cardiac arrest</topic><topic>Cardiovascular</topic><topic>Cerebral injury</topic><topic>Coma - etiology</topic><topic>Coma - mortality</topic><topic>Coma - therapy</topic><topic>Dominant frequency</topic><topic>Early prognosis</topic><topic>Female</topic><topic>Follow-Up Studies</topic><topic>Humans</topic><topic>Hypothermia, Induced - methods</topic><topic>Male</topic><topic>Middle Aged</topic><topic>Out-of-Hospital Cardiac Arrest - complications</topic><topic>Out-of-Hospital Cardiac Arrest - therapy</topic><topic>Prognosis</topic><topic>Prospective Studies</topic><topic>Risk Assessment - methods</topic><topic>Survival Rate - trends</topic><topic>Time Factors</topic><topic>Ventricular fibrillation</topic><topic>Ventricular Fibrillation - complications</topic><topic>Ventricular Fibrillation - mortality</topic><topic>Ventricular Fibrillation - therapy</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Filgueiras-Rama, David</creatorcontrib><creatorcontrib>Calvo, Conrado J</creatorcontrib><creatorcontrib>Salvador-Montañés, Óscar</creatorcontrib><creatorcontrib>Cádenas, Rosalía</creatorcontrib><creatorcontrib>Ruiz-Cantador, Jose</creatorcontrib><creatorcontrib>Armada, Eduardo</creatorcontrib><creatorcontrib>Rey, Juan Ramón</creatorcontrib><creatorcontrib>Merino, J.L</creatorcontrib><creatorcontrib>Peinado, Rafael</creatorcontrib><creatorcontrib>Pérez-Castellano, Nicasio</creatorcontrib><creatorcontrib>Pérez-Villacastín, Julián</creatorcontrib><creatorcontrib>Quintanilla, Jorge G</creatorcontrib><creatorcontrib>Jiménez, Santiago</creatorcontrib><creatorcontrib>Castells, Francisco</creatorcontrib><creatorcontrib>Chorro, Francisco J</creatorcontrib><creatorcontrib>López-Sendón, J.L</creatorcontrib><creatorcontrib>Berenfeld, Omer</creatorcontrib><creatorcontrib>Jalife, José</creatorcontrib><creatorcontrib>de Sá, Esteban López</creatorcontrib><creatorcontrib>Millet, José</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>MEDLINE - Academic</collection><collection>PubMed Central (Full Participant titles)</collection><jtitle>International journal of cardiology</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Filgueiras-Rama, David</au><au>Calvo, Conrado J</au><au>Salvador-Montañés, Óscar</au><au>Cádenas, Rosalía</au><au>Ruiz-Cantador, Jose</au><au>Armada, Eduardo</au><au>Rey, Juan Ramón</au><au>Merino, J.L</au><au>Peinado, Rafael</au><au>Pérez-Castellano, Nicasio</au><au>Pérez-Villacastín, Julián</au><au>Quintanilla, Jorge G</au><au>Jiménez, Santiago</au><au>Castells, Francisco</au><au>Chorro, Francisco J</au><au>López-Sendón, J.L</au><au>Berenfeld, Omer</au><au>Jalife, José</au><au>de Sá, Esteban López</au><au>Millet, José</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Spectral analysis-based risk score enables early prediction of mortality and cerebral performance in patients undergoing therapeutic hypothermia for ventricular fibrillation and comatose status</atitle><jtitle>International journal of cardiology</jtitle><addtitle>Int J Cardiol</addtitle><date>2015-05-01</date><risdate>2015</risdate><volume>186</volume><spage>250</spage><epage>258</epage><pages>250-258</pages><issn>0167-5273</issn><eissn>1874-1754</eissn><abstract>Abstract Background Early prognosis in comatose survivors after cardiac arrest due to ventricular fibrillation (VF) is unreliable, especially in patients undergoing mild hypothermia. We aimed at developing a reliable risk-score to enable early prediction of cerebral performance and survival. Methods Sixty-one out of 239 consecutive patients undergoing mild hypothermia after cardiac arrest, with eventual return of spontaneous circulation (ROSC), and comatose status on admission fulfilled the inclusion criteria. Background clinical variables, VF time and frequency domain fundamental variables were considered. The primary and secondary outcomes were a favorable neurological performance (FNP) during hospitalization and survival to hospital discharge, respectively. The predictive model was developed in a retrospective cohort (n = 32; September 2006–September 2011, 48.5 ± 10.5 months of follow-up) and further validated in a prospective cohort (n = 29; October 2011–July 2013, 5 ± 1.8 months of follow-up). Results FNP was present in 16 (50.0%) and 21 patients (72.4%) in the retrospective and prospective cohorts, respectively. Seventeen (53.1%) and 21 patients (72.4%), respectively, survived to hospital discharge. Both outcomes were significantly associated (p &lt; 0.001). Retrospective multivariate analysis provided a prediction model (sensitivity = 0.94, specificity = 1) that included spectral dominant frequency, derived power density and peak ratios between high and low frequency bands, and the number of shocks delivered before ROSC. Validation on the prospective cohort showed sensitivity = 0.88 and specificity = 0.91. A model-derived risk-score properly predicted 93% of FNP. Testing the model on follow-up showed a c-statistic ≥ 0.89. Conclusions A spectral analysis-based model reliably correlates time-dependent VF spectral changes with acute cerebral injury in comatose survivors undergoing mild hypothermia after cardiac arrest.</abstract><cop>Netherlands</cop><pub>Elsevier Ireland Ltd</pub><pmid>25828128</pmid><doi>10.1016/j.ijcard.2015.03.074</doi><tpages>9</tpages><oa>free_for_read</oa></addata></record>
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subjects Brain - physiopathology
Cardiac arrest
Cardiovascular
Cerebral injury
Coma - etiology
Coma - mortality
Coma - therapy
Dominant frequency
Early prognosis
Female
Follow-Up Studies
Humans
Hypothermia, Induced - methods
Male
Middle Aged
Out-of-Hospital Cardiac Arrest - complications
Out-of-Hospital Cardiac Arrest - therapy
Prognosis
Prospective Studies
Risk Assessment - methods
Survival Rate - trends
Time Factors
Ventricular fibrillation
Ventricular Fibrillation - complications
Ventricular Fibrillation - mortality
Ventricular Fibrillation - therapy
title Spectral analysis-based risk score enables early prediction of mortality and cerebral performance in patients undergoing therapeutic hypothermia for ventricular fibrillation and comatose status
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