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 |
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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 < 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. All rights reserved.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c518t-b64acbffe6ae1d496763feaa1c2d42a9168c924f2c4fda5d616b28edcd094a0e3</citedby><cites>FETCH-LOGICAL-c518t-b64acbffe6ae1d496763feaa1c2d42a9168c924f2c4fda5d616b28edcd094a0e3</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://www.sciencedirect.com/science/article/pii/S0167527315003125$$EHTML$$P50$$Gelsevier$$H</linktohtml><link.rule.ids>230,314,776,780,881,3537,27901,27902,65306</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/25828128$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><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><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><title>International journal of cardiology</title><addtitle>Int J Cardiol</addtitle><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.</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 < 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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