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

dc.contributor.authorFilgueiras Rama, David
dc.contributor.authorPérez Castellano, Nicasio
dc.contributor.authorPérez Villacastín Domínguez, Julián
dc.contributor.authorQuintanilla, Jorge
dc.contributor.authorMillet, José
dc.date.accessioned2024-02-09T12:19:16Z
dc.date.available2024-02-09T12:19:16Z
dc.date.issued2015
dc.description.abstractBackground 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.
dc.description.departmentDepto. de Medicina
dc.description.facultyFac. de Medicina
dc.description.refereedTRUE
dc.description.statuspub
dc.identifier.citationFilgueiras-Rama, David, et al. «Spectral Analysis-Based Risk Score Enables Early Prediction of Mortality and Cerebral Performance in Patients Undergoing Therapeutic Hypothermia for Ventricular Fibrillation and Comatose Status». International Journal of Cardiology, vol. 186, mayo de 2015, pp. 250-58. https://doi.org/10.1016/j.ijcard.2015.03.074.
dc.identifier.doi10.1016/j.ijcard.2015.03.074
dc.identifier.issn0167-5273
dc.identifier.officialurlhttps://doi.org/10.1016/j.ijcard.2015.03.074
dc.identifier.pmid25828128
dc.identifier.relatedurlhttps://pubmed.ncbi.nlm.nih.gov/25828128/
dc.identifier.urihttps://hdl.handle.net/20.500.14352/100908
dc.journal.titleInternational Journal of Cardiology
dc.language.isoeng
dc.page.final258
dc.page.initial250
dc.publisherElsevier
dc.rights.accessRightsopen access
dc.subject.cdu616.12
dc.subject.keywordCardiac arrest
dc.subject.keywordCerebral injury
dc.subject.keywordDominant frequency
dc.subject.keywordEarly prognosis
dc.subject.keywordVentricular fibrillation
dc.subject.ucmCardiología
dc.subject.unesco32 Ciencias Médicas
dc.titleSpectral analysis-based risk score enables early prediction of mortality and cerebral performance in patients undergoing therapeutic hypothermia for ventricular fibrillation and comatose status
dc.typejournal article
dc.type.hasVersionAM
dc.volume.number186
dspace.entity.typePublication
relation.isAuthorOfPublication85f05732-b64c-4cc3-a1d8-9d7f1a7e9c4c
relation.isAuthorOfPublication8c248da7-c733-4a61-9767-52bbfd91fc91
relation.isAuthorOfPublication.latestForDiscovery85f05732-b64c-4cc3-a1d8-9d7f1a7e9c4c

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