EEG Factors After Pediatric Cardiac Arrest

被引:11
|
作者
Abend, Nicholas S. [1 ,2 ,3 ]
Wiebe, Douglas J. [4 ]
Xiao, Rui [4 ]
Massey, Shavonne L. [1 ,2 ,3 ]
Fitzgerald, Mark [1 ,2 ,3 ]
Fung, France [1 ,2 ,3 ]
Topjian, Alexis A. [3 ,5 ]
机构
[1] Childrens Hosp Philadelphia, Dept Neurol, Philadelphia, PA 19104 USA
[2] Childrens Hosp Philadelphia, Dept Pediat, Philadelphia, PA 19104 USA
[3] Univ Penn, Philadelphia, PA 19104 USA
[4] Univ Penn, Ctr Clin Epidemiol & Biostat, Philadelphia, PA 19104 USA
[5] Childrens Hosp Philadelphia, Dept Anesthesia & Crit Care Med, Philadelphia, PA 19104 USA
关键词
EEG; Cardiac arrest; Pediatric; ELECTROGRAPHIC STATUS EPILEPTICUS; HYPOXIC-ISCHEMIC ENCEPHALOPATHY; CRITICALLY-ILL CHILDREN; INTERRATER RELIABILITY; CONSENSUS STATEMENT; INCREASED MORTALITY; ADULTS; AGREEMENT; OUTCOMES; TERMINOLOGY;
D O I
10.1097/WNP.0000000000000459
中图分类号
R74 [神经病学与精神病学];
学科分类号
摘要
Purpose: We aimed to determine whether conventional standardized EEG features could be consolidated into a more limited number of factors and whether the derived factor scores changed during the acute period after pediatric cardiac arrest. Methods: Children resuscitated after cardiac arrest underwent conventional continuous EEG monitoring. The EEG was scored in 12-hour epochs for up to 72-hours after return of circulation by an electroencephalographer using standardized critical care EEG terminology. We performed a polychoric factor analysis to determine whether numerous observed EEG features could be represented by a smaller number of derived factors. Linear mixed-effects regression models and heat maps evaluated whether the factor scores remained stable across epochs. Results: We performed EEG monitoring in 89 consecutive children, which yielded 453 EEG segments. We identified two factors, which were not correlated. The background features were factor loaded with the features continuity, voltage, and frequency. The intermittent features were factor loaded with the features of seizures, periodic patterns, and interictal discharges. Factor scores were calculated for each EEG segment. Linear, mixed-effect, regression results indicated that the factor scores did not change over time for the background features factor (coefficient, 0.18; 95% confidence interval, 0.04-0.07; P = 0.52) or the intermittent features factor (coefficient, -0.003; 95% confidence interval, -0.02 to 0.01; P = 0.70). However, heat maps showed that some individual subjects did experience factor score changes over time, particularly if they had medium initial factor scores. Conclusions: Subsequent studies assessing whether EEG is informative for neurobehavioral outcomes after pediatric cardiac arrest could combine numerous EEG features into two factors, each reflecting multiple background and intermittent features. Furthermore, the factor scores would be expected to remain stable during the acute period for most subjects.
引用
收藏
页码:251 / 255
页数:5
相关论文
共 50 条
  • [41] FACTORS ASSOCIATED WITH PEDIATRIC IN-HOSPITAL RECURRENT CARDIAC ARREST
    Brown, Stephanie
    Roberts, Joan
    Killien, Elizabeth
    Brogan, Thomas
    Farris, Reid
    Di Gennaro, Jane
    Guacaneme, Jessica Barreto
    McMullan, David
    Weiss, Noel
    CRITICAL CARE MEDICINE, 2022, 50 (01) : 699 - 699
  • [42] Simplified EEG/aEEG to monitor the injured brain after cardiac arrest
    H Friberg
    M Rundgren
    E Westhall
    N Nielsen
    T Cronberg
    Critical Care, 16 (Suppl 1):
  • [43] PROGNOSTIC VALUE OF EEG IN POSTANOXIC COMA AFTER CARDIAC-ARREST
    SCOLLOLAVIZZARI, G
    BASSETTI, C
    EUROPEAN NEUROLOGY, 1987, 26 (03) : 161 - 170
  • [44] Standardized EEG interpretation accurately predicts prognosis after cardiac arrest
    Westhall, Erik
    Rossetti, Andrea O.
    van Rootselaar, Anne-Fleur
    Kjaer, Troels Wesenberg
    Horn, Janneke
    Ullen, Susann
    Friberg, Hans
    Nielsen, Niklas
    Rosen, Ingmar
    Aneman, Anders
    Erlinge, David
    Gasche, Yvan
    Hassager, Christian
    Hovdenes, Jan
    Kjaergaard, Jesper
    Kuiper, Michael
    Pellis, Tommaso
    Stammet, Pascal
    Wanscher, Michael
    Wetterslev, Jorn
    Wise, Matt P.
    Cronberg, Tobias
    NEUROLOGY, 2016, 86 (16) : 1482 - 1490
  • [45] EEG PREDICTION OF OUTCOME AFTER RESUSCITATION FROM CARDIAC OR RESPIRATORY ARREST
    BINNIE, CD
    LLOYD, DSL
    MARGERISON, JH
    MAYNARD, D
    PRIOR, PF
    SCOTT, DF
    ELECTROENCEPHALOGRAPHY AND CLINICAL NEUROPHYSIOLOGY, 1970, 29 (01): : 105 - +
  • [46] Quantitative EEG and effect of hypothermia on brain recovery after cardiac arrest
    Shin, Hyun-Chool
    Tong, Shanbao
    Yamashita, Soichiro
    Jia, Xiaofeng
    Geocadin, Romergryko G.
    Thakor, Nitish V.
    IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING, 2006, 53 (06) : 1016 - 1023
  • [47] Return of Viable Cardiac Function After Sonographic Cardiac Standstill in Pediatric Cardiac Arrest
    Steffen, Katherine
    Thompson, W. Reid
    Pustavoitau, Aliaksei
    Su, Erik
    PEDIATRIC EMERGENCY CARE, 2017, 33 (01) : 58 - 59
  • [48] STANDARDIZED EEG INTERPRETATION ACCURATELY PREDICTS PROGNOSIS AFTER CARDIAC ARREST
    Sethi, Nitin K.
    NEUROLOGY, 2016, 87 (15) : 1631 - 1631
  • [49] EEG in patients admitted after cardiac arrest: daily clinical practice
    Horn, J.
    NETHERLANDS JOURNAL OF CRITICAL CARE, 2021, 29 (01): : 4 - 5
  • [50] EEG patterns associated with present cortical SSEP after cardiac arrest
    Beuchat, Isabelle
    Novy, Jan
    Barbella, Giuseppina
    Oddo, Mauro
    Rossetti, Andrea O.
    ACTA NEUROLOGICA SCANDINAVICA, 2020, 142 (02): : 181 - 185