-
1Academic Journal
Συγγραφείς: T. G. Markova, N. V. Bragina, V. I. Gorbachev, Т. Г. Маркова, Н. В. Брагина, В. И. Горбачёв
Πηγή: Messenger of ANESTHESIOLOGY AND RESUSCITATION; Том 18, № 3 (2021); 72-78 ; Вестник анестезиологии и реаниматологии; Том 18, № 3 (2021); 72-78 ; 2541-8653 ; 2078-5658
Θεματικοί όροι: нейроспецифическая енолаза, prediction of neurological outcome, electroencephalography, neurospecific enolase, прогнозирование неврологического исхода, электроэнцефалография
Περιγραφή αρχείου: application/pdf
Relation: https://www.vair-journal.com/jour/article/view/542/495; Аврущенко М. Ш., Острова И. В., Волков А. В. и др. Постреанимационные изменения морфофункционального состояния нервных клеток: значение в патогенезе энцефалопатий // Общая реаниматология. – 2006. – Т. 2, № 6. – С. 85–96. https://doi.org/10.15360/1813-9779-2006-6-85-96.; Бридько В. И., Шмаков А. С., Журавлев Д. Е. и др. Основные закономерности и исходы постреанимационной болезни // Университетская медицина Урала. – 2019. – Т. 5, № 1. – С. 25–27.; Голубев А. М., Кузовлев А. Н., Антонова В. В. и др. Молекулярные биомаркеры прогнозирования неврологического исхода после внезапной остановки кровообращения (обзор) // Общая реаниматология. – 2018. – Т. 14, № 3. – C. 68–81. https://doi.org/10.15360/1813-9779-2018-3-68-81.; A randomized clinical study of cardiopulmonary-cerebral resuscitation: design, methods, and patient characteristics. Brain Resuscitation Clinical Trial I Study Group // Amer. J. Emerg. Med. – 1986. – Vol. 4, № 1. – P. 72–86. https://doi.org/10.1016/0735-6757(86)90255-X.; Callaway C. W., Donnino M. W., Fink E. L. et al. Part 8: Post-Cardiac Arrest Care: 2015 American Heart Association Guidelines Update for Cardiopulmonary Resuscitation and Emergency Cardiovascular Care // Circulation. – 2015. – Vol. 132, № 18 (2). – P. 465–482. https://doi.org/10.1161/CIR.0000000000000262.; Dragancea I., Horn J., Kuiper M. et al. Neurological prognostication after cardiac arrest and targeted temperature management 33°C versus 36°C: Results from a randomised controlled clinical trial // Resuscitation. – 2015. – Vol. 93. – P. 164–170. https://doi.org/10.1186/s13054-018-2060-7.; Drohan C. M., Cardi A. I., Rittenberg J. C. et al. Effect of sedation on quantitative electroencephalography after cardiac arrest // Resuscitation. – 2018. – Vol. 124. – P. 132–137. https://doi.org/10.1016/j.resuscitation.2017.11.068.; Golan E., Barrett K., Alali A. S. et al. Predicting neurologic outcome after targeted temperature management for cardiac arrest: systematic review and meta-analysis // Crit. Care Med. – 2014. – Vol. 42, № 8. – P. 1919–1930. https://doi.org/10.1097/CCM.0000000000000335.; Greer D. M., Yang J., Scripko P. D. et al. Clinical examination for prognostication in comatose cardiac arrest patients // Resuscitation. – 2013. – Vol. 84. – P. 1546–1551. https://doi.org/10.1016/j.resuscitation.2013.07.028.; Haywood K., Whitehead L., Nadkarni V. M. et al. COSCA (Core Outcome Set for Cardiac Arrest) in adults: an advisory statement from the International Liaison Committee on Resuscitation // Circulation. – 2018. – Vol. 137, № 22. – P. 783–801. https://doi.org/10.1161/CIR.0000000000000562.; Hong J.Y., Lee D.H., Oh J.H. et al. Grey-white matter ratio measured using early unenhanced brain computed tomography shows no correlation with neurological outcomes in patients undergoing targeted temperature management after cardiac arrest // Resuscitation. – 2019. – Vol. 140. – P. 161–169. https://doi.org/10.1016/j.resuscitation.2019.03.039.; Nolan J. P., Soar J., Cariou A. et al. European Resuscitation Council and European Society of Intensive Care Medicine Guidelines for Post-resuscitation Care 2015: Section 5 of the European Resuscitation Council Guidelines for Resuscitation 2015 // Resuscitation. – 2015. – Vol. 95. – P. 202–222. https://doi.org/10.1016/j.resuscitation.2015.07.018.; Kiehl E. L., Parker A. M., Matar R. M. et al. C-GRApH: A validated scoring system for early stratification of neurologic outcome after out-of-hospital cardiac arrest treated with targeted temperature management // J. American Heart Association. – 2017. – Vol. 6, № 5. – e003821.https://doi.org/10.1161/JAHA.116.003821.; Kiguchi T., Okubo M., Nishiyama C. et al. Out-of-hospital cardiac arrest across the World: First report from the International Liaison Committee on Resuscitation (ILCOR) // Resuscitation. – 2020. – Vol. 152. – P. 39–49. https://doi.org/10.1016/j.resuscitation.2020.02.044.; Luescher T., Mueller J., Isenschmid C. et al. Neuron-specific enolase (NSE) improves clinical risk scores for prediction of neurological outcome and death in cardiac arrest patients: Results from a prospective trial // Resuscitation. – 2019. – Vol. 142. – P. 50–60. https://doi.org/10.1016/j.resuscitation.2019.07.003.; Lupton J. R., Kurz M. C., Daya M. R. Neurologic prognostication after resuscitation from cardiac arrest // J. Amer. College Emerg. Physic. Open. – 2020. – Vol. 1, № 4. – P. 333–341. https://doi.org/10.1002/emp2.12109.; Martinell L., Nielsen N., Herlitz J. et al. Early predictors of poor outcome after out-of-hospital cardiac arrest // Crit. care. – 2017. – Vol. 21, № 1. – P. 96. https://doi.org/10.1186/s13054-017-1677-2.; Maupain C., Bougouin W., Lamhaut L. et al. The CAHP (Cardiac Arrest Hospital Prognosis) score: a tool for risk stratification after out-of-hospital cardiac arrest // Eur. Heart J. – 2016. – Vol. 37, № 42. – P. 3222–3228. https://doi.org/10.1093/eurheartj/ehv556.; Na M. K., Kim W., Lim T. H. et al. Gray matter to white matter ratio for predicting neurological outcomes in patients treated with target temperature management after cardiac arrest: A systematic review and meta-analysis // Resuscitation. – 2018. – Vol. 132. – P. 21–28. https://doi.org/10.1016/j.resuscitation.2018.08.024.; Park J. H., Wee J. H., Choi S. P. et al. Assessment of serum biomarkers and coagulation/fibrinolysis markers for prediction of neurological outcomes of out of cardiac arrest patients treated with therapeutic hypothermia // Clin. Experim. Emerg. Med. – 2019. – Vol. 6, № 1. – P. 9–18. https://doi.org/10.15441/ceem.17.273.; Paul M., Bougouin W., Geri G. et al. Delayed awakening after cardiac arrest: prevalence and risk factors in the Parisian registry // Intens. Care Med. – 2016. – Vol. 42, № 7. – P. 1128–1136. https://doi.org/10.1007/s00134-016-4349-9.; Rankin J. Cerebral vascular accidents in patients over the age of 60. II. Prognosis // Scottish Med J. – 1957. – Vol. 2, № 5. – P. 200–215. https://doi.org/10.1177/003693305700200504.; Reynolds A. S., Rohaut B., Holmes M. G. et al. Early myoclonus following anoxic brain injury // Neurology. – 2018. – Vol. 8, № 3. – P. 249–256. https://doi.org/10.1212/CPJ.0000000000000466.; Ruijter B. J., van Putten M. J. A. M, van den Bergh W. M. et al. Propofol does not affect the reliability of early EEG for outcome prediction of comatose patients after cardiac arrest // Clin. Neurophysiol. – 2019. – Vol. 130, № 8. – P. 1263–1270. https://doi.org/10.1016/j.clinph.2019.04.707.; Samaniego E. A., Mlynash M., Caulfield A. F. et al. Sedation confounds outcome prediction in cardiac arrest survivors treated with hypothermia // Neurocrit. Care. – 2011. – Vol. 15, № 1. – P. 113–119. https://doi.org/10.1007/s12028-010-9412-8.; Sandroni C., Cavallaro F., Callaway C. W. et al. Predictors of poor neurological outcome in adult comatose survivors of cardiac arrest: a systematic review and meta-analysis. Part 1: patients not treated with therapeutic hypothermia // Resuscitation. – 2013. – Vol. 84, № 10. – P. 1310–1323. https://doi.org/10.1016/j.resuscitation.2013.06.020.; Sandroni C., D'Arrigo S., Cacciola S. et al. Prediction of poor neurological outcome in comatose survivors of cardiac arrest: a systematic review // Intens. Care Med. – 2020. – Vol. 46, № 10. – P. 1803–1851. https://doi.org/10.1007/s00134-020-06198-w.; Sandroni C., D'Arrigo S., Nolan J. P. Prognostication after cardiac arrest // Crit. Care. – 2018. – Vol. 22, № 1. – P. 150. https://doi.org/10.1186/s13054-018-2060-7.; Selig C., Riegger C., Dirks B. et al. Bispectral index (BIS) and suppression ratio (SR) as an early predictor of unfavourable neurological outcome after cardiac arrest // Resuscitation. – 2014. – Vol. 85, № 2. – P. 221–226. https://doi.org/10.1016/j.resuscitation.2013.11.008.; Solari D., Rossetti A.O., Carteron L. et al. Early prediction of coma recovery after cardiac arrest with blinded pupillometry // Ann. Neurol. – 2017. – Vol. 81, № 6. – P. 804–810. https://doi.org/10.1002/ana.24943.; Sondag L., Ruijter B. J., Tjepkema-Cloostermans M. C. et al. Early EEG for outcome prediction of postanoxic coma: prospective cohort study with cost-minimization analysis // Crit. Care. – 2017. – Vol. 21, № 1. – P. 111. https://doi.org/10.1186/s13054-017-1693-2.; Sonnier M., Rittenberger J. C. State-of-the-art considerations in post-arrest care // J. Amer. College of Emergency Physicians Open. – 2020. – Vol. 1, № 2. – P. 107–116. https://doi.org/10.1002/emp2.12022.; Suys T., Bouzat P., Marques-Vidal P. et al. Automated quantitative pupillometry for the prognostication of coma after cardiac arrest // Neurocrit. Care. – 2014. – Vol. 21, № 2. – P. 300–308. https://doi.org/10.1007/s12028-014-9981-z.; Westhall E., Rossetti A.O., van Rootselaar A.F. et al. Standardized EEG interpretation accurately predicts prognosis after cardiac arrest // Neurology. – 2016. – Vol. 86, № 16. – P. 1482–1490. https://doi.org/10.1212/WNL.0000000000002462.; Wiberg S., Hassager C., Stammet P. et al. Single versus serial measurements of neuron-specific enolase and prediction of poor neurological outcome in persistently unconscious patients after out-of-hospital cardiac arrest - a TTM-trial substudy // PloS one. – 2017. – Vol. 12, № 1. – e0168894.https://doi.org/10.1371/journal.pone.0168894.; Witten L., Gardner R., Holmberg M. J. et al. Reasons for death in patients successfully resuscitated from out-of-hospital and in-hospital cardiac arrest // Resuscitation. – 2019. – Vol. 136. – P. 93–99. https://doi.org/10.1016/j.resuscitation.2019.01.031.