x = ( A) + (3.296 B) (0.070 C) (1.006 D) + (2.426 E) Receiver Operating Characteristic ROC
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1 7
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3 Glasgow outcome scale GOS GOS 4 n= A C D 5 ph B E = 1/(1 + e x) x = ( 0.0 A) + (.96 B) (0.070 C) (1.006 D) + (.46 E) estimated probability n=01 5 Receiver Operating Characteristic ROC 80% 9% 90%. 1- extracorporeal cardiopulmonary resuscitation 4 ECPR 1
4 interleukin IL -6 IL-85 6 NSE6 7 glial fibrillary acidic protein GFAP S100b BB10 computed tomography CT magnetic resonance imaging MRI
5 CPR cardiopulmonary resuscitation ph 6 16 GOS 4 GOS 1- CPR 1 dead vegetative state severe disability 4 moderate disability 5 good recovery 5
6 U P 17 Sidak P < 0.01 =0 =1 =1 =0 CPR =0 =0 = 1; =1 =1 =0 =0 =1 =0 area under the curve AUC ROC 6 4 =1
7 n = 488) n = 6) ( n = 5) (n = 477) (n = 55) (n = 4) n = 1) n = 7) ( n = 5) (n = 01) (n = 5) (n = 176) 1 5
8 CPR a P-valueb (n = 477) (n = 01) 64 ± 0 7 ± 16 < (67) 104 (5) < (46) 9 (46) (59) 1 (66) (7) 76 (8) < (18) 6 (18) ± 15 1 ± 15 < 0.01 ± 19 0 ± (1) 9 (14) (8) 6 () (8) 1 (6) ± ± ± ± (1) 5 (1) 0.74 CPR mm ph a a b CPR cardiopulmonary resuscitation 6 P < 0.01
9 good recovery 5 moderate disability vegetative state 79 4 severe disability dead 40 A C E ph B D 5 X A~E = 1/(1 + e x) x = ( 0.0 A) + (.96 B) (0.070 C) (1.006 D) + (.46 E) A C D B E ph P mm a ph 0.1 a 7
10 AUC ROC % 94% 9% ROC 8 4
11 % 90% ROC 0.18 AUC 80% 0.94 AUC ROC 9
12 Hayakawa 18 80% 9% 11 5 ph Hayakawa 18 1 Fisher CPR 19-4 Wijdicks % 1 HACA study 15% 10
13 Limitation limitation % 11 1
14 1
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16 Subcommittee of the American Academy of Neurology. Practice parameter: prediction of outcome in comatose survivors after cardiopulmonary resuscitation (an evidence-based review): report of the Quality Standards Subcommittee of the American Academy of Neurology. Neurology 006; 67: Madl C Grimm G Kramer L et al. Early prediction of individual outcome after cardiopulmonary resuscitation. Lancet 199; 41: Nakabayashi M Kurokawa A Yamamoto Y. Immediate prediction of recovery of consciousness after cardiac arrest. Intensive Care Med. 001; 7: Torbey MT Selim M Knorr J Bigelow C Recht L. Quantitative analysis of the loss of distinction between gray and white matter in comatose patients after cardiac arrest. Stroke 000; 1: Choi SP Park HK Park KN et al. The density ratio of grey to white matter on computed tomography as an early predictor of vegetative state or death after cardiac arrest. Emerg. Med. J. 008; 5: Jennett B Bond M. Assessment of outcome after severe brain damage. Lancet 1975; 1: Westfall PH Young SS. Resampling-based multiple testing. New York: Wiley-Interscience Hayakawa K Tasaki O Hamasaki T et al. Prognostic indicators and outcome prediction model for patients with return of spontaneous circulation from cardiopulmonary arrest: the Utstein Osaka Project. Resuscitation 011; 8: Fischer M Fischer NJ Schüttler J. One-year survival after out-of-hospital cardiac arrest in Bonn City: outcome report according to the 'Utstein Style'. Resuscitation 1997; : Booth CM Boone RH Tomlinson G Detsky AS. Is this patient dead vegetative or severely neurologically impaired? Assessing outcome for comatose survivors of cardiac arrest. JAMA 004; 91: Swor RA Jackson RE Cynar M et al. Bystander CPR ventricular fibrillation and survival in witnessed unmonitored out-of-hospital cardiac arrest. Ann. Emerg. Med. 1995; 5: Schultz SC Cullinane DC Pasquale MD Magnant C Evans SR. Predicting in-hospital 14
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