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Tenorio A, Brandel MG, McCann CP, Real M, Doucet JJ, Costantini TW, Santiago-Dieppa DR, Levy M, Ciacci JD. Increased Traumatic Brain Injury Severity and Mortality in Undocumented Immigrants. Neurosurgery 2024:00006123-990000000-01327. [PMID: 39212417 DOI: 10.1227/neu.0000000000003158] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/10/2024] [Accepted: 07/23/2024] [Indexed: 09/04/2024] Open
Abstract
BACKGROUND AND OBJECTIVES Health disparities related to traumatic brain injury (TBI) have focused on socioeconomic status, race, and ethnicity. We sought to characterize TBI patterns and outcomes based on undocumented status. METHODS Patients who presented to University of California, San Diego Health Trauma Center with a TBI between 2019 and 2022 were identified and stratified based on undocumented status. Undocumented immigrants were identified using validated methods of absent or invalid social security number and key terms through chart review. Demographic information, injury characteristics, and neurosurgical interventions were recorded. Univariable and multivariable analyses were performed to determine the impact of patient factors on outcomes. RESULTS Of 1654 patients with TBI, 76 (4.6%) were undocumented. Undocumented immigrants were younger (50 vs 60 years; P < .001) and had higher Injury Severity Score (17 vs 13; P < .001). They presented from farther distances (12.8 vs 5.3 miles, P < .001) with greater midline shift (1.49 vs 0.91 mm; P = .003). A greater proportion had basal cistern compression/effacement (14% vs 4.6%; P = .001) and required neurosurgical intervention (18% vs 9.6%; P = .012). Undocumented immigrants had higher hospital charges ($208 403 vs $128 948; P < .001), length of stay (5 vs 4 days; P = .002), and were discharged to a health facility at a lower rate (18% vs 32%; P = .012). They had nearly double the mortality rate (14% vs 7.3%; P = .021), with undocumented status trending as a predictor on multivariable regression (odds ratio = 2.87; P = .052). CONCLUSION Undocumented immigrants presented from farther distances with increased TBI severity, likely from both more severe trauma and delayed presentation, requiring more neurosurgical intervention. They also had greater length of stay, charges, and nearly double the mortality rate. Importantly, undocumented status was a strong predictor for mortality. Despite worse outcomes, they were discharged to a health care facility at a lower rate. Advocacy efforts should be directed at increasing health care coverage and migrant community engagement and education.
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Affiliation(s)
- Alexander Tenorio
- Department of Neurosurgery, University of California, San Diego, La Jolla, California, USA
| | - Michael G Brandel
- Department of Neurosurgery, University of California, San Diego, La Jolla, California, USA
| | - Carson P McCann
- School of Medicine, University of California, San Diego, La Jolla, California, USA
| | - Marcos Real
- School of Medicine, University of California, San Diego, La Jolla, California, USA
| | - Jay J Doucet
- Division of Trauma, Surgical Critical Care, Burns and Acute Care Surgery, Department of Surgery, University of California, San Diego, La Jolla, California, USA
| | - Todd W Costantini
- Division of Trauma, Surgical Critical Care, Burns and Acute Care Surgery, Department of Surgery, University of California, San Diego, La Jolla, California, USA
| | | | - Michael Levy
- Department of Neurosurgery, University of California, San Diego, La Jolla, California, USA
| | - Joseph D Ciacci
- Department of Neurosurgery, University of California, San Diego, La Jolla, California, USA
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Plante V, Basu M, Gettings JV, Luchette M, LaRovere KL. Update in Pediatric Neurocritical Care: What a Neurologist Caring for Critically Ill Children Needs to Know. Semin Neurol 2024; 44:362-388. [PMID: 38788765 DOI: 10.1055/s-0044-1787047] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 05/26/2024]
Abstract
Currently nearly one-quarter of admissions to pediatric intensive care units (PICUs) worldwide are for neurocritical care diagnoses that are associated with significant morbidity and mortality. Pediatric neurocritical care is a rapidly evolving field with unique challenges due to not only age-related responses to primary neurologic insults and their treatments but also the rarity of pediatric neurocritical care conditions at any given institution. The structure of pediatric neurocritical care services therefore is most commonly a collaborative model where critical care medicine physicians coordinate care and are supported by a multidisciplinary team of pediatric subspecialists, including neurologists. While pediatric neurocritical care lies at the intersection between critical care and the neurosciences, this narrative review focuses on the most common clinical scenarios encountered by pediatric neurologists as consultants in the PICU and synthesizes the recent evidence, best practices, and ongoing research in these cases. We provide an in-depth review of (1) the evaluation and management of abnormal movements (seizures/status epilepticus and status dystonicus); (2) acute weakness and paralysis (focusing on pediatric stroke and select pediatric neuroimmune conditions); (3) neuromonitoring modalities using a pathophysiology-driven approach; (4) neuroprotective strategies for which there is evidence (e.g., pediatric severe traumatic brain injury, post-cardiac arrest care, and ischemic stroke and hemorrhagic stroke); and (5) best practices for neuroprognostication in pediatric traumatic brain injury, cardiac arrest, and disorders of consciousness, with highlights of the 2023 updates on Brain Death/Death by Neurological Criteria. Our review of the current state of pediatric neurocritical care from the viewpoint of what a pediatric neurologist in the PICU needs to know is intended to improve knowledge for providers at the bedside with the goal of better patient care and outcomes.
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Affiliation(s)
- Virginie Plante
- Division of Critical Care Medicine, Department of Anesthesiology, Perioperative and Pain Medicine, Boston Children's Hospital, Boston, Massachusetts
| | - Meera Basu
- Division of Critical Care Medicine, Department of Anesthesiology, Perioperative and Pain Medicine, Boston Children's Hospital, Boston, Massachusetts
- Department of Neurology, Boston Children's Hospital, Boston, Massachusetts
| | | | - Matthew Luchette
- Division of Critical Care Medicine, Department of Anesthesiology, Perioperative and Pain Medicine, Boston Children's Hospital, Boston, Massachusetts
| | - Kerri L LaRovere
- Department of Neurology, Boston Children's Hospital, Boston, Massachusetts
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Berg KM, Bray JE, Ng KC, Liley HG, Greif R, Carlson JN, Morley PT, Drennan IR, Smyth M, Scholefield BR, Weiner GM, Cheng A, Djärv T, Abelairas-Gómez C, Acworth J, Andersen LW, Atkins DL, Berry DC, Bhanji F, Bierens J, Bittencourt Couto T, Borra V, Böttiger BW, Bradley RN, Breckwoldt J, Cassan P, Chang WT, Charlton NP, Chung SP, Considine J, Costa-Nobre DT, Couper K, Dainty KN, Dassanayake V, Davis PG, Dawson JA, Fernanda de Almeida M, De Caen AR, Deakin CD, Dicker B, Douma MJ, Eastwood K, El-Naggar W, Fabres JG, Fawke J, Fijacko N, Finn JC, Flores GE, Foglia EE, Folke F, Gilfoyle E, Goolsby CA, Granfeldt A, Guerguerian AM, Guinsburg R, Hatanaka T, Hirsch KG, Holmberg MJ, Hosono S, Hsieh MJ, Hsu CH, Ikeyama T, Isayama T, Johnson NJ, Kapadia VS, Daripa Kawakami M, Kim HS, Kleinman ME, Kloeck DA, Kudenchuk P, Kule A, Kurosawa H, Lagina AT, Lauridsen KG, Lavonas EJ, Lee HC, Lin Y, Lockey AS, Macneil F, Maconochie IK, John Madar R, Malta Hansen C, Masterson S, Matsuyama T, McKinlay CJD, Meyran D, Monnelly V, Nadkarni V, Nakwa FL, Nation KJ, Nehme Z, Nemeth M, Neumar RW, Nicholson T, Nikolaou N, Nishiyama C, Norii T, Nuthall GA, Ohshimo S, Olasveengen TM, Gene Ong YK, Orkin AM, Parr MJ, Patocka C, Perkins GD, Perlman JM, Rabi Y, Raitt J, Ramachandran S, Ramaswamy VV, Raymond TT, Reis AG, Reynolds JC, Ristagno G, Rodriguez-Nunez A, Roehr CC, Rüdiger M, Sakamoto T, Sandroni C, Sawyer TL, Schexnayder SM, Schmölzer GM, Schnaubelt S, Semeraro F, Singletary EM, Skrifvars MB, Smith CM, Soar J, Stassen W, Sugiura T, Tijssen JA, Topjian AA, Trevisanuto D, Vaillancourt C, Wyckoff MH, Wyllie JP, Yang CW, Yeung J, Zelop CM, Zideman DA, Nolan JP. 2023 International Consensus on Cardiopulmonary Resuscitation and Emergency Cardiovascular Care Science With Treatment Recommendations: Summary From the Basic Life Support; Advanced Life Support; Pediatric Life Support; Neonatal Life Support; Education, Implementation, and Teams; and First Aid Task Forces. Resuscitation 2024; 195:109992. [PMID: 37937881 DOI: 10.1016/j.resuscitation.2023.109992] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/09/2023]
Abstract
The International Liaison Committee on Resuscitation engages in a continuous review of new, peer-reviewed, published cardiopulmonary resuscitation and first aid science. Draft Consensus on Science With Treatment Recommendations are posted online throughout the year, and this annual summary provides more concise versions of the final Consensus on Science With Treatment Recommendations from all task forces for the year. Topics addressed by systematic reviews this year include resuscitation of cardiac arrest from drowning, extracorporeal cardiopulmonary resuscitation for adults and children, calcium during cardiac arrest, double sequential defibrillation, neuroprognostication after cardiac arrest for adults and children, maintaining normal temperature after preterm birth, heart rate monitoring methods for diagnostics in neonates, detection of exhaled carbon dioxide in neonates, family presence during resuscitation of adults, and a stepwise approach to resuscitation skills training. Members from 6 International Liaison Committee on Resuscitation task forces have assessed, discussed, and debated the quality of the evidence, using Grading of Recommendations Assessment, Development, and Evaluation criteria, and their statements include consensus treatment recommendations. Insights into the deliberations of the task forces are provided in the Justification and Evidence-to-Decision Framework Highlights sections. In addition, the task forces list priority knowledge gaps for further research. Additional topics are addressed with scoping reviews and evidence updates.
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Slovis JC, Bach A, Beaulieu F, Zuckerberg G, Topjian A, Kirschen MP. Neuromonitoring after Pediatric Cardiac Arrest: Cerebral Physiology and Injury Stratification. Neurocrit Care 2024; 40:99-115. [PMID: 37002474 PMCID: PMC10544744 DOI: 10.1007/s12028-023-01685-6] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/26/2022] [Accepted: 01/30/2023] [Indexed: 04/03/2023]
Abstract
BACKGROUND Significant long-term neurologic disability occurs in survivors of pediatric cardiac arrest, primarily due to hypoxic-ischemic brain injury. Postresuscitation care focuses on preventing secondary injury and the pathophysiologic cascade that leads to neuronal cell death. These injury processes include reperfusion injury, perturbations in cerebral blood flow, disturbed oxygen metabolism, impaired autoregulation, cerebral edema, and hyperthermia. Postresuscitation care also focuses on early injury stratification to allow clinicians to identify patients who could benefit from neuroprotective interventions in clinical trials and enable targeted therapeutics. METHODS In this review, we provide an overview of postcardiac arrest pathophysiology, explore the role of neuromonitoring in understanding postcardiac arrest cerebral physiology, and summarize the evidence supporting the use of neuromonitoring devices to guide pediatric postcardiac arrest care. We provide an in-depth review of the neuromonitoring modalities that measure cerebral perfusion, oxygenation, and function, as well as neuroimaging, serum biomarkers, and the implications of targeted temperature management. RESULTS For each modality, we provide an in-depth review of its impact on treatment, its ability to stratify hypoxic-ischemic brain injury severity, and its role in neuroprognostication. CONCLUSION Potential therapeutic targets and future directions are discussed, with the hope that multimodality monitoring can shift postarrest care from a one-size-fits-all model to an individualized model that uses cerebrovascular physiology to reduce secondary brain injury, increase accuracy of neuroprognostication, and improve outcomes.
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Affiliation(s)
- Julia C Slovis
- Department of Anesthesiology and Critical Care Medicine, Children's Hospital of Philadelphia, 3401 Civic Center Boulevard, 6 Wood - 6105, Philadelphia, PA, 19104, USA.
| | - Ashley Bach
- Department of Anesthesiology and Critical Care Medicine, Children's Hospital of Philadelphia, 3401 Civic Center Boulevard, 6 Wood - 6105, Philadelphia, PA, 19104, USA
| | - Forrest Beaulieu
- Department of Anesthesiology and Critical Care Medicine, Children's Hospital of Philadelphia, 3401 Civic Center Boulevard, 6 Wood - 6105, Philadelphia, PA, 19104, USA
| | - Gabe Zuckerberg
- Department of Anesthesiology and Critical Care Medicine, Children's Hospital of Philadelphia, 3401 Civic Center Boulevard, 6 Wood - 6105, Philadelphia, PA, 19104, USA
| | - Alexis Topjian
- Department of Anesthesiology and Critical Care Medicine, Children's Hospital of Philadelphia, 3401 Civic Center Boulevard, 6 Wood - 6105, Philadelphia, PA, 19104, USA
| | - Matthew P Kirschen
- Department of Anesthesiology and Critical Care Medicine, Children's Hospital of Philadelphia, 3401 Civic Center Boulevard, 6 Wood - 6105, Philadelphia, PA, 19104, USA
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5
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Kim J, Lee JH. Quantitative cistern effacement and reduced gray to white matter ratio for prognostication in early brain computed tomography of patients with cardiac arrest. Heliyon 2024; 10:e23741. [PMID: 38187337 PMCID: PMC10767505 DOI: 10.1016/j.heliyon.2023.e23741] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/06/2023] [Revised: 10/15/2023] [Accepted: 12/12/2023] [Indexed: 01/09/2024] Open
Abstract
Background The impact of cerebral edema on brain cells and ventricles in cardiac arrest patients can manifest as effacement of cortical sulci, diminished ventricle size, altered gray matter to white matter ratio (GWR), and increased optic nerve sheath diameter (ONSD) in brain CT scans. However, a complete investigation of GWR in whole lobes, quantitative cistern size, and comprehensive comparison of various brain CT parameters has not been conducted. This study aimed to comprehensively compare various early brain CT parameters along with conventional significant variables in relation to poor neurological outcome and diffuse cortical necrosis. Methods This retrospective study included 86 adult patients with cardiac arrest who underwent brain CT/MRI. GWRs, the distance of the posterior ambient cistern, and ONSD in early brain CT and regions of interest (ROIs) in brain MRI were measured and analyzed along with clinical characteristics. Results ROIs in the putamen and parietal white matter showed significant differences (p = 0.05, p = 0.022, respectively). The distance of the posterior ambient cistern and the GWR of the putamen and parietal white matter were newly developed predictors that were not used previously and demonstrated a significant correlation with the presence of diffuse cortical necrosis (OR 0.4, p = 0.006, AUC 0.637; OR 0.478, p = 0.02, AUC 0.603, respectively) or poor neurological outcomes (AUC 0.637, AUC 0.603, respectively), but were not more significant than pupil reflex (OR 0.06, p < 0.001). ONSD was not significantly associated with the outcomes. Conclusions Quantitative cistern effacement and reduced GWR of the putamen and parietal white matter in early brain CT measurements of cardiac arrest patients were promising predictors in early brain CT for prognostication, but compared with clinical characteristics, the clinical significance of the CT predictors was not considerable. The relationship and clinical significance between the parameters in early brain CT and the outcomes might have to be separately considered.
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Affiliation(s)
- Jinsung Kim
- Department of Emergency Medicine, Dong-A University College of Medicine, Busan, South Korea
| | - Jae Hoon Lee
- Department of Emergency Medicine, Dong-A University College of Medicine, Busan, South Korea
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6
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Berg KM, Bray JE, Ng KC, Liley HG, Greif R, Carlson JN, Morley PT, Drennan IR, Smyth M, Scholefield BR, Weiner GM, Cheng A, Djärv T, Abelairas-Gómez C, Acworth J, Andersen LW, Atkins DL, Berry DC, Bhanji F, Bierens J, Bittencourt Couto T, Borra V, Böttiger BW, Bradley RN, Breckwoldt J, Cassan P, Chang WT, Charlton NP, Chung SP, Considine J, Costa-Nobre DT, Couper K, Dainty KN, Dassanayake V, Davis PG, Dawson JA, de Almeida MF, De Caen AR, Deakin CD, Dicker B, Douma MJ, Eastwood K, El-Naggar W, Fabres JG, Fawke J, Fijacko N, Finn JC, Flores GE, Foglia EE, Folke F, Gilfoyle E, Goolsby CA, Granfeldt A, Guerguerian AM, Guinsburg R, Hatanaka T, Hirsch KG, Holmberg MJ, Hosono S, Hsieh MJ, Hsu CH, Ikeyama T, Isayama T, Johnson NJ, Kapadia VS, Kawakami MD, Kim HS, Kleinman ME, Kloeck DA, Kudenchuk P, Kule A, Kurosawa H, Lagina AT, Lauridsen KG, Lavonas EJ, Lee HC, Lin Y, Lockey AS, Macneil F, Maconochie IK, Madar RJ, Malta Hansen C, Masterson S, Matsuyama T, McKinlay CJD, Meyran D, Monnelly V, Nadkarni V, Nakwa FL, Nation KJ, Nehme Z, Nemeth M, Neumar RW, Nicholson T, Nikolaou N, Nishiyama C, Norii T, Nuthall GA, Ohshimo S, Olasveengen TM, Ong YKG, Orkin AM, Parr MJ, Patocka C, Perkins GD, Perlman JM, Rabi Y, Raitt J, Ramachandran S, Ramaswamy VV, Raymond TT, Reis AG, Reynolds JC, Ristagno G, Rodriguez-Nunez A, Roehr CC, Rüdiger M, Sakamoto T, Sandroni C, Sawyer TL, Schexnayder SM, Schmölzer GM, Schnaubelt S, Semeraro F, Singletary EM, Skrifvars MB, Smith CM, Soar J, Stassen W, Sugiura T, Tijssen JA, Topjian AA, Trevisanuto D, Vaillancourt C, Wyckoff MH, Wyllie JP, Yang CW, Yeung J, Zelop CM, Zideman DA, Nolan JP. 2023 International Consensus on Cardiopulmonary Resuscitation and Emergency Cardiovascular Care Science With Treatment Recommendations: Summary From the Basic Life Support; Advanced Life Support; Pediatric Life Support; Neonatal Life Support; Education, Implementation, and Teams; and First Aid Task Forces. Circulation 2023; 148:e187-e280. [PMID: 37942682 PMCID: PMC10713008 DOI: 10.1161/cir.0000000000001179] [Citation(s) in RCA: 9] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/10/2023]
Abstract
The International Liaison Committee on Resuscitation engages in a continuous review of new, peer-reviewed, published cardiopulmonary resuscitation and first aid science. Draft Consensus on Science With Treatment Recommendations are posted online throughout the year, and this annual summary provides more concise versions of the final Consensus on Science With Treatment Recommendations from all task forces for the year. Topics addressed by systematic reviews this year include resuscitation of cardiac arrest from drowning, extracorporeal cardiopulmonary resuscitation for adults and children, calcium during cardiac arrest, double sequential defibrillation, neuroprognostication after cardiac arrest for adults and children, maintaining normal temperature after preterm birth, heart rate monitoring methods for diagnostics in neonates, detection of exhaled carbon dioxide in neonates, family presence during resuscitation of adults, and a stepwise approach to resuscitation skills training. Members from 6 International Liaison Committee on Resuscitation task forces have assessed, discussed, and debated the quality of the evidence, using Grading of Recommendations Assessment, Development, and Evaluation criteria, and their statements include consensus treatment recommendations. Insights into the deliberations of the task forces are provided in the Justification and Evidence-to-Decision Framework Highlights sections. In addition, the task forces list priority knowledge gaps for further research. Additional topics are addressed with scoping reviews and evidence updates.
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Gardner MM, Kirschen MP, Wong HR, McKeone DJ, Halstead ES, Thompson J, Himebauch AS, Topjian AA, Yehya N. Biomarkers associated with mortality in pediatric patients with cardiac arrest and acute respiratory distress syndrome. Resuscitation 2022; 170:184-193. [PMID: 34871756 PMCID: PMC8799511 DOI: 10.1016/j.resuscitation.2021.11.036] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/11/2021] [Revised: 11/16/2021] [Accepted: 11/26/2021] [Indexed: 01/03/2023]
Abstract
AIMS To identify plasma biomarkers associated with cardiac arrest in a cohort of children with acute respiratory distress syndrome (ARDS), and to assess the association of these biomarkers with mortality in children with cardiac arrest and ARDS (ARDS + CA). METHODS This was a secondary analysis of a single-center prospective cohort study of children with ARDS from 2014-2019 with 17 biomarkers measured. Clinical characteristics and biomarkers were compared between subjects with ARDS + CA and ARDS with univariate analysis. In a sub-cohort of ARDS + CA subjects, the association between biomarker levels and mortality was tested using univariate and bivariate logistic regression. RESULTS Biomarkers were measured in 333 subjects: 301 with ARDS (median age 5.3 years, 55.5% male) and 32 ARDS + CA (median age 8 years, 53.1% male). More arrests (69%) occurred out-of-hospital with a median CPR duration of 11 (IQR 5.5, 25) minutes. ARDS severity, PRISM III score, vasoactive-ionotropic score and extrapulmonary organ failures were worse in the ARDS + CA versus ARDS group. Eight biomarkers were elevated in the ARDS + CA versus ARDS cohort: sRAGE, nucleosomes, SP-D, CCL22, IL-6, HSP70, IL-8, and MIP-1b. sRAGE, SP-D, and CCL22 remained elevated when the cohorts were matched for illness severity. When controlling for severity of ARDS and cardiac arrest characteristics, sRAGE, IL-6 and granzyme B were associated with mortality in the ARDS + CA group. CONCLUSION sRAGE, IL-6 and granzyme B were associated with cardiac arrest mortality when controlling for illness severity. sRAGE was consistently higher in the ARDS + CA cohort compared to ARDS and retained independent association with mortality.
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Affiliation(s)
- Monique M. Gardner
- Division of Cardiac Critical Care Medicine, Department of Anesthesiology & Critical Care Medicine, Children’s Hospital of Philadelphia, University of Pennsylvania Perelman School of Medicine, Philadelphia Pennsylvania
| | - Matthew P. Kirschen
- Division of Critical Care Medicine, Department of Anesthesiology & Critical Care Medicine, Children’s Hospital of Philadelphia, University of Pennsylvania Perelman School of Medicine, Philadelphia Pennsylvania
| | - Hector R. Wong
- Division of Critical Care Medicine, Cincinnati Children's Hospital Medical Center, Department of Pediatrics, University of Cincinnati College of Medicine, Cincinnati, Ohio
| | - Daniel J. McKeone
- Division of Pediatric Hematology and Oncology, Department of Pediatrics, Pennsylvania State University College of Medicine, Hershey, PA, USA
| | - E. Scott Halstead
- Division of Pediatric Critical Care Medicine, Department of Pediatrics, Pennsylvania State University College of Medicine, Hershey, PA, USA
| | - Jill Thompson
- Division of Critical Care Medicine, Department of Anesthesiology & Critical Care Medicine, Children’s Hospital of Philadelphia, University of Pennsylvania Perelman School of Medicine, Philadelphia Pennsylvania
| | - Adam S. Himebauch
- Division of Critical Care Medicine, Department of Anesthesiology & Critical Care Medicine, Children’s Hospital of Philadelphia, University of Pennsylvania Perelman School of Medicine, Philadelphia Pennsylvania
| | - Alexis A. Topjian
- Division of Critical Care Medicine, Department of Anesthesiology & Critical Care Medicine, Children’s Hospital of Philadelphia, University of Pennsylvania Perelman School of Medicine, Philadelphia Pennsylvania
| | - Nadir Yehya
- Division of Critical Care Medicine, Department of Anesthesiology & Critical Care Medicine, Children’s Hospital of Philadelphia, University of Pennsylvania Perelman School of Medicine, Philadelphia Pennsylvania,Leonard Davis Institute, University of Pennsylvania, Philadelphia, PA
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Clinical Significance of Gray to White Matter Ratio after Cardiopulmonary Resuscitation in Children. CHILDREN 2022; 9:children9010036. [PMID: 35053661 PMCID: PMC8774629 DOI: 10.3390/children9010036] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 10/12/2021] [Revised: 11/27/2021] [Accepted: 12/04/2021] [Indexed: 11/17/2022]
Abstract
Cardiopulmonary resuscitation (CPR) successfully restores systemic circulation approximately 50% of the time; however, many successfully restored patients have severe neurologic damage. In adults, the gray matter to white matter attenuation ratio (GWR) in brain computed tomography (CT) correlates with the neurologic outcome. However, in children, the clinical significance of GWR still remains unclear. The aim of this study was to evaluate the clinical characteristics of children who underwent CPR for cardiac arrest according to the survival and to demonstrate the differentiation of grey/white matter by Hounsfield units of brain CT and to characterize the attenuations of grey and white matters. Methods: This is a retrospective single-center study. We enrolled those who underwent brain CT within 24 h after return of spontaneous circulation (ROSC) from January 2005 to June 2018. Brain CTs were taken within 24 h of ROSC. We measured the attenuation of grey and white matter in Hounsfield units and calculated GWR. They were compared with healthy controls. Patients were analyzed as follows: survivors vs. non-survivors and better neurologic outcome vs. worse neurologic outcome. Results: Among 100 pediatric patients who had CPR, 56 met inclusion criteria. There were 24 patients who survived and 32 non-survivors. Our study revealed that the incidence of seizure, duration of CPR, and instances of hypothermia were significantly different between survivors and non-survivors. In both survivors and non-survivors, the attenuation of the caudate nucleus, putamen, GWR-basal ganglia, and average GWR were significantly different from controls. In regression analyses, the medial cortex and average GWR were the significant variables to predict survival, and the receiver operating curves revealed areas under curve of 0.733 and 0.666, respectively. Also, the medial cortex 1 was the only variable that predicted the neurologic outcome. Conclusions: There was some predictive survival value of GWR and medial cortex at the centrum semiovale level in early brain CT within 24 h after cardiac arrest. Although we could not find the predictive value of GWR in the neurologic outcome of pediatric patients, we found that the absolute attenuation of the medial cortex was low in patients with worse neurologic outcomes. Further prospective, multicenter studies are needed to determine the predictive value of GWR and the medial cortex.
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Multimodal monitoring including early EEG improves stratification of brain injury severity after pediatric cardiac arrest. Resuscitation 2021; 167:282-288. [PMID: 34237356 DOI: 10.1016/j.resuscitation.2021.06.020] [Citation(s) in RCA: 15] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/22/2021] [Revised: 06/11/2021] [Accepted: 06/20/2021] [Indexed: 12/14/2022]
Abstract
AIMS Assessment of brain injury severity early after cardiac arrest (CA) may guide therapeutic interventions and help clinicians counsel families regarding neurologic prognosis. We aimed to determine whether adding EEG features to predictive models including clinical variables and examination signs increased the accuracy of short-term neurobehavioral outcome prediction. METHODS This was a prospective, observational, single-center study of consecutive infants and children resuscitated from CA. Standardized EEG scoring was performed by an electroencephalographer for the initial EEG timepoint after return of spontaneous circulation (ROSC) and each 12-h segment from the time of ROSC up to 48 h. EEG Background Category was scored as: (1) normal; (2) slow-disorganized; (3) discontinuous or burst-suppression; or (4) attenuated-featureless. The primary outcome was neurobehavioral outcome at discharge from the Pediatric Intensive Care Unit. To develop the final predictive model, we compared areas under the receiver operating characteristic curves (AUROC) from models with varying combinations of Demographic/Arrest Variables, Examination Signs, and EEG Features. RESULTS We evaluated 89 infants and children. Initial EEG Background Category was normal in 9 subjects (10%), slow-disorganized in 44 (49%), discontinuous or burst suppression in 22 (25%), and attenuated-featureless in 14 (16%). The final model included Demographic/Arrest Variables (witnessed status, doses of epinephrine, initial lactate after ROSC) and EEG Background Category which achieved AUROC of 0.9 for unfavorable neurobehavioral outcome and 0.83 for mortality. CONCLUSIONS The addition of standardized EEG Background Categories to readily available CA variables significantly improved early stratification of brain injury severity after pediatric CA.
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Tetsuhara K, Kaku N, Watanabe Y, Kumamoto M, Ichimiya Y, Mizuguchi S, Higashi K, Matsuoka W, Motomura Y, Sanefuji M, Hiwatashi A, Sakai Y, Ohga S. Predictive values of early head computed tomography for survival outcome after cardiac arrest in childhood: a pilot study. Sci Rep 2021; 11:12090. [PMID: 34103642 PMCID: PMC8187472 DOI: 10.1038/s41598-021-91628-y] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/04/2021] [Accepted: 05/28/2021] [Indexed: 12/17/2022] Open
Abstract
Predicting outcomes of children after cardiac arrest (CA) remains challenging. To identify useful prognostic markers for pediatric CA, we retrospectively analyzed the early findings of head computed tomography (CT) of patients. Subjects were non-traumatic, out-of-hospital CA patients < 16 years of age who underwent the first head CT within 24 h in our institute from 2006 to 2018 (n = 70, median age: 4 months, range 0–163). Of the 24 patients with return of spontaneous circulation, 14 survived up to 30 days after CA. The degree of brain damage was quantitatively measured with modified methods of the Alberta Stroke Program Early CT Score (mASPECTS) and simplified gray-matter-attenuation-to-white-matter-attenuation ratio (sGWR). The 14 survivors showed higher mASPECTS values than the 56 non-survivors (p = 0.035). All 3 patients with mASPECTS scores ≥ 20 survived, while an sGWR ≥ 1.14 indicated a higher chance of survival than an sGWR < 1.14 (54.5% vs. 13.6%). Follow-up magnetic resonance imaging for survivors validated the correlation of the mASPECTS < 15 with severe brain damage. Thus, low mASPECTS scores were associated with unfavorable neurological outcomes on the Pediatric Cerebral Performance Category scale. A quantitative analysis of early head CT findings might provide clues for predicting survival of pediatric CA.
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Affiliation(s)
- Kenichi Tetsuhara
- Department of Pediatrics, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan.,Emergency and Critical Care Center, Kyushu University Hospital, Fukuoka, Japan
| | - Noriyuki Kaku
- Department of Pediatrics, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan. .,Emergency and Critical Care Center, Kyushu University Hospital, Fukuoka, Japan.
| | - Yuka Watanabe
- Department of Pediatrics, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan
| | - Masaya Kumamoto
- Department of Medicine and Clinical Science, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan
| | - Yuko Ichimiya
- Department of Pediatrics, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan
| | - Soichi Mizuguchi
- Department of Pediatrics, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan
| | - Kanako Higashi
- Department of Pediatrics, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan
| | - Wakato Matsuoka
- Department of Pediatrics, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan.,Emergency and Critical Care Center, Kyushu University Hospital, Fukuoka, Japan
| | - Yoshitomo Motomura
- Department of Pediatrics, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan
| | - Masafumi Sanefuji
- Department of Pediatrics, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan
| | - Akio Hiwatashi
- Department of Radiology, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan
| | - Yasunari Sakai
- Department of Pediatrics, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan
| | - Shouichi Ohga
- Department of Pediatrics, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan
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11
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McDevitt WM, Rowberry TA, Davies P, Bill PR, Notghi LM, Morris KP, Scholefield BR. The Prognostic Value of Somatosensory Evoked Potentials in Children After Cardiac Arrest: The SEPIA Study. J Clin Neurophysiol 2021; 38:30-35. [PMID: 31702709 DOI: 10.1097/wnp.0000000000000649] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/25/2022] Open
Abstract
PURPOSE Absent cortical somatosensory evoked potentials (SSEPs) reliably predict poor neurologic outcome in adults after cardiac arrest (CA). However, there is less evidence to support this in children. In addition, targeted temperature management, test timing, and a lack of blinding may affect test accuracy. METHODS A single-center, prospective cohort study of pediatric (aged 24 hours to 15 years) patients in which prognostic value of SSEPs were assessed 24, 48, and 72 hours after CA. Targeted temperature management (33-34°C for 24 hours) followed by gradual rewarming to 37°C was used. Somatosensory evoked potentials were graded as present, absent, or indeterminate, and results were blinded to clinicians. Neurologic outcome was graded as "good" (score 1-3) or "poor" (4-6) using the Pediatric Cerebral Performance Category scale 30 days after CA and blinded to SSEP interpreter. RESULTS Twelve patients (median age, 12 months; interquartile range, 2-150; 92% male) had SSEPs interpreted as absent (6/12) or present (6/12) <72 hours after CA. Outcome was good in 7 of 12 patients (58%) and poor in 5 of 12 patients (42%). Absent SSEPs predicted poor outcome with 88% specificity (95% confidence interval, 53% to 98%). One patient with an absent SSEP had good outcome (Pediatric Cerebral Performance Category 3), and all patients with present SSEPs had good outcome (specificity 100%; 95% confidence interval, 51% to 100%). Absence or presence of SSEP was consistent across 24-hour (temperature = 34°C), 48-hour (t = 36°C), and 72-hour (t = 36°C) recordings after CA. CONCLUSIONS Results support SSEP utility when predicting favorable outcome; however, predictions resulting in withdrawal of life support should be made with caution and never in isolation because in this very small sample there was a false prediction of unfavorable outcome. Further prospective, blinded studies are needed and encouraged.
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Affiliation(s)
- William M McDevitt
- Department of Neurophysiology, Birmingham Women's and Children's Hospital NHS Foundation Trust, Birmingham, United Kingdom
| | - Tracey A Rowberry
- Paediatric Intensive Care Unit, Birmingham Women's and Children's Hospital NHS Foundation Trust, Birmingham, United Kingdom
| | - Paul Davies
- Institute of Child Health, Birmingham Women's and Children's Hospital NHS Foundation Trust, Birmingham, United Kingdom
| | - Peter R Bill
- Department of Neurophysiology, Birmingham Women's and Children's Hospital NHS Foundation Trust, Birmingham, United Kingdom
| | - Lesley M Notghi
- Department of Neurophysiology, Birmingham Women's and Children's Hospital NHS Foundation Trust, Birmingham, United Kingdom
| | - Kevin P Morris
- Paediatric Intensive Care Unit, Birmingham Women's and Children's Hospital NHS Foundation Trust, Birmingham, United Kingdom
- Institute of Applied Health Research, University of Birmingham, Birmingham, United Kingdom ; and
| | - Barnaby R Scholefield
- Paediatric Intensive Care Unit, Birmingham Women's and Children's Hospital NHS Foundation Trust, Birmingham, United Kingdom
- Birmingham Acute Care Research Group, University of Birmingham, Birmingham, United Kingdom
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12
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Topjian AA, Raymond TT, Atkins D, Chan M, Duff JP, Joyner BL, Lasa JJ, Lavonas EJ, Levy A, Mahgoub M, Meckler GD, Roberts KE, Sutton RM, Schexnayder SM. Part 4: Pediatric Basic and Advanced Life Support: 2020 American Heart Association Guidelines for Cardiopulmonary Resuscitation and Emergency Cardiovascular Care. Circulation 2020; 142:S469-S523. [PMID: 33081526 DOI: 10.1161/cir.0000000000000901] [Citation(s) in RCA: 198] [Impact Index Per Article: 49.5] [Reference Citation Analysis] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/20/2022]
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13
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A Systematic Review of Neuromonitoring Modalities in Children Beyond Neonatal Period After Cardiac Arrest. Pediatr Crit Care Med 2020; 21:e927-e933. [PMID: 32541373 DOI: 10.1097/pcc.0000000000002415] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/26/2022]
Abstract
OBJECTIVES Postresuscitation care in children focuses on preventing secondary neurologic injury and attempts to provide (precise) prognostication for both caregivers and the medical team. This systematic review provides an overview of neuromonitoring modalities and their potential role in neuroprognostication in postcardiac arrest children. DATA RESOURCES Databases EMBASE, Web of Science, Cochrane, MEDLINE Ovid, Google Scholar, and PsycINFO Ovid were searched in February 2019. STUDY SELECTION Enrollment of children after in- and out-of-hospital cardiac arrest between 1 month and 18 years and presence of a neuromonitoring method obtained within the first 2 weeks post cardiac arrest. Two reviewers independently selected appropriate studies based on the citations. DATA EXTRACTION Data collected included study characteristics and methodologic quality, populations enrolled, neuromonitoring modalities, outcome, and limitations. Evidence tables per neuromonitoring method were constructed using a standardized data extraction form. Each included study was graded according to the Oxford Evidence-Based Medicine scoring system. DATA SYNTHESIS Of 1,195 citations, 27 studies met the inclusion criteria. There were 16 retrospective studies, nine observational prospective studies, one observational exploratory study, and one pilot randomized controlled trial. Neuromonitoring methods included neurologic examination, routine electroencephalography and continuous electroencephalography, transcranial Doppler, MRI, head CT, plasma biomarkers, somatosensory evoked potentials, and brainstem auditory evoked potential. All evidence was graded 2B-2C. CONCLUSIONS The appropriate application and precise interpretation of available modalities still need to be determined in relation to the individual patient. International collaboration in standardized data collection during the (acute) clinical course together with detailed long-term outcome measurements (including functional outcome, neuropsychologic assessment, and health-related quality of life) are the first steps toward more precise, patient-specific neuroprognostication after pediatric cardiac arrest.
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14
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Postcardiac Arrest Care: Streamlining and Personalizing Our Approach. Pediatr Crit Care Med 2020; 21:907-908. [PMID: 33009304 DOI: 10.1097/pcc.0000000000002423] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/26/2022]
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15
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Abstract
OBJECTIVES Postcardiac arrest care bundles following adult cardiac arrest are associated with improved survival to discharge. We aimed to evaluate whether a clinical pathway and computerized order entry were associated with improved pediatric postcardiac arrest care and discharge outcomes. DESIGN Single-center retrospective before-after study. SETTING Academic PICU. PATIENTS Patients who suffered an in- or out-of-hospital cardiac arrest from January 2008 to December 2015 cared for in the PICU within 12 hours of sustained return of circulation. INTERVENTION Deployment of a postcardiac arrest clinical pathway and computerized order entry system. MEASUREMENTS AND MAIN RESULTS There were 380 patients included-163 in the pre-pathway period and 217 in the post-pathway period. Primary outcome was percent adherence to pathway clinical goals at 0-6 and 6-24 hours post-return of circulation and to diagnostics (continuous electroencephalogram monitoring, head CT for out-of-hospital cardiac arrests, echocardiogram). Secondary outcomes included survival to hospital discharge and survival with favorable neurologic outcome (Pediatric Cerebral Performance Category of 1-3 or no change from baseline). The pre-pathway and post-pathway groups differed in their baseline Pediatric Cerebral Performance Category scores and the following causes of arrest: airway obstruction, arrhythmias, and electrolyte abnormalities. Pathway adherence was not significantly different between the pre-pathway and post-pathway groups, with the exception of higher rates of continuous electroencephalogram monitoring (45% vs 64%; p < 0.001). There was no difference in survival to hospital discharge between the two groups (56% vs 67%; adjusted odds ratio, 1.68; 95% CI, 0.95-2.84; p = 0.05). Survival to discharge was higher in the post-pathway group for the in-hospital cardiac arrest cohort (55% vs 76%; adjusted odds ratio, 3.06; 95% CI, 1.44-6.51; p < 0.01). There was no difference in favorable neurologic outcome between all patients (adjusted odds ratio, 1.21; 95% CI, 0.72-2.04) or among survivors (adjusted odds ratio, 0.72; 95% CI, 0.27-1.43). CONCLUSIONS After controlling for known potential confounders, the creation and deployment of a postcardiac arrest care pathway and computerized order entry set were not associated with improvement in pathway adherence or overall outcomes, but was associated with increased survival to hospital discharge for children with in-hospital cardiac arrests.
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16
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Corbett KL, Presson AP, Zhang C, Xu Y, Bratton SL, Dixon RR. Does Non-Neurologic Multiorgan Dysfunction After Out-of-Hospital Cardiac Arrest among Children Admitted in Coma Predict Outcome 1 Year Later? J Pediatr Intensive Care 2020; 10:188-196. [PMID: 34395036 DOI: 10.1055/s-0040-1715850] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/22/2020] [Accepted: 07/02/2020] [Indexed: 10/23/2022] Open
Abstract
In this article, we investigated whether non-neurologic multiorgan dysfunction syndrome (MODS) following out-of-hospital cardiac arrest (OHCA) predicts poor 12-month survival. We conducted a secondary data analysis of therapeutic hypothermia after pediatric cardiac arrest out-of-hospital randomized trial involving children who remained unconscious and intubated after OHCA ( n = 237). Associations between MODS and 12-month outcomes were assessed using multivariable logistic regression. Non-neurologic MODS was present in 95% of patients and sensitive (97%; 95% confidence interval [CI]: 93-99%) for 12-month survival but had poor specificity (10%; 95% CI: 4-21%). Development of non-neurologic MODS is not helpful to predict long-term neurologic outcome or survival after OHCA.
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Affiliation(s)
- Kelly L Corbett
- Department of Pediatrics, Section of Critical Care Medicine, Dartmouth-Hitchcock Medical Center, Lebanon
| | - Angela P Presson
- Department of Pediatrics, Division of Critical Care Medicine, University of Utah, Salt Lake City, Utah, United States.,Department of Internal Medicine, Division of Epidemiology, University of Utah, Salt Lake City, Utah, United States
| | - Chong Zhang
- Department of Internal Medicine, Division of Epidemiology, University of Utah, Salt Lake City, Utah, United States
| | - Yizhe Xu
- Department of Internal Medicine, Division of Epidemiology, University of Utah, Salt Lake City, Utah, United States
| | - Susan L Bratton
- Department of Pediatrics, Division of Critical Care Medicine, University of Utah, Salt Lake City, Utah, United States
| | - Rebecca R Dixon
- Department of Pediatrics, Washington Permanente Medical Group, Spokane, Washington, United States
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17
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The current practice regarding neuro-prognostication for comatose children after cardiac arrest differs between and within European PICUs: A survey. Eur J Paediatr Neurol 2020; 28:44-51. [PMID: 32669214 DOI: 10.1016/j.ejpn.2020.06.021] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/17/2019] [Revised: 06/19/2020] [Accepted: 06/30/2020] [Indexed: 12/14/2022]
Abstract
PURPOSE To describe current practices in European Paediatric Intensive Care Units (PICUs) regarding neuro-prognostication in comatose children after cardiac arrest (CA). METHODS An anonymous online survey was conducted among members of the European Society of Paediatric and Neonatal Intensive Care (ESPNIC) and the European Paediatric Neurology Society (EPNS) throughout January and February 2019. The survey consisted of 49 questions divided into 4 sections: general information, cardiac arrest, neuro-prognostication and follow-up. RESULTS The survey was sent to 1310 EPNS and 611 ESPNIC members. Of the 108 respondents, 71 (66%) (23 countries, 45 PICUs) completed the "neuro-prognostication" section. Eight PICUs (20%) had a local neuro-prognostication guideline. The 3 methods considered as most useful were neurological examination (92%), magnetic resonance imaging (MRI) (82%) and continuous electroencephalography (cEEG) (45%). In 50% a Pediatric Cerebral Performance Category (PCPC) score ≥ 4 was considered as poor neurological outcome. In 63% timing of determining neurological prognosis was based on the individual patient. Once decided that neurological prognosis was futile, 55% indicated that withdrawing life-sustaining therapy (WLST) was (one of) the options, whereas 44% continued PICU treatment (with or without restrictions). In 28 PICUs (68%) CA-survivors were scheduled for follow-up visits. CONCLUSION Local guidelines for neuro-prognostication in comatose children after CA are uncommon. Methods to assess neurological outcome were mainly neurological examination, MRI and cEEG. Consequences of poor outcome differed between respondents. Inaccuracies in neuro-prognostication can result in premature WLST, thereby biasing outcome research and creating a self-fulfilling cycle. Further research is needed to develop scientifically based international guidelines for neuro-prognostication in comatose children after CA.
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18
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Rener-Primec Z. Can we improve prediction of neurological outcome in children after cardiac arrest? Eur J Paediatr Neurol 2020; 28:4-5. [PMID: 32878719 DOI: 10.1016/j.ejpn.2020.08.006] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 10/23/2022]
Affiliation(s)
- Zvonka Rener-Primec
- University Children's Hospital Ljubljana, Department of Child, Adolescent & Developmental Neurology, University Medical Centre Ljubljana, Ljubljana, Slovenia; Medical Faculty University of Ljubljana, Ljubljana, Slovenia.
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19
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Smith AE, Friess SH. Neurological Prognostication in Children After Cardiac Arrest. Pediatr Neurol 2020; 108:13-22. [PMID: 32381279 PMCID: PMC7354677 DOI: 10.1016/j.pediatrneurol.2020.03.010] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/29/2019] [Revised: 03/03/2020] [Accepted: 03/04/2020] [Indexed: 01/08/2023]
Abstract
Early after pediatric cardiac arrest, families and care providers struggle with the uncertainty of long-term neurological prognosis. Cardiac arrest characteristics such as location, intra-arrest factors, and postarrest events have been associated with outcome. We paid particular attention to postarrest modalities that have been shown to predict neurological outcome. These modalities include neurological examination, somatosensory evoked potentials, electroencephalography, and neuroimaging. There is no one modality that accurately predicts neurological prognosis. Thus, a multimodal approach should be undertaken by both neurologists and intensivists to present a clear and consistent message to families. Methods used for the prediction of long-term neurological prognosis need to be specific enough to identify indivuals with a poor outcome. We review the evidence evaluating children with coma, each with various etiologies of cardiac arrest, outcome measures, and timing of follow-up.
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Affiliation(s)
- Alyssa E Smith
- Division of Pediatric Neurology, Department of Neurology, Washington University in St. Louis, St. Louis, Missouri.
| | - Stuart H Friess
- Division of Critical Care Medicine, Department of Pediatrics, Washington University in St. Louis, St. Louis, Missouri
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20
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Kim HJ. How can neurological outcomes be predicted in comatose pediatric patients after out-of-hospital cardiac arrest? Clin Exp Pediatr 2020; 63:164-170. [PMID: 32024336 PMCID: PMC7254176 DOI: 10.3345/kjp.2019.00941] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/11/2019] [Accepted: 10/07/2019] [Indexed: 12/22/2022] Open
Abstract
The prognosis of patients who are comatose after resuscitation remains uncertain. The accurate prediction of neurological outcome is important for management decisions and counseling. A neurological examination is an important factor for prognostication, but widely used sedatives alter the neurological examination and delay the response recovery. Additional studies including electroencephalography, somatosensory-evoked potentials, brain imaging, and blood biomarkers are useful for evaluating the extent of brain injury. This review aimed to assess the usefulness of and provide practical prognostic strategy for pediatric postresuscitation patients. The principles of prognostication are that the assessment should be delayed until at least 72 hours after cardiac arrest and the assessment should be multimodal. Furthermore, multiple factors including unmeasured confounders in individual patients should be considered when applying the prognostication strategy.
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Affiliation(s)
- Hyo Jeong Kim
- Department of Pediatrics, Gachon University Gil Medical Center, Gachon University College of Medicine, Incheon, Korea
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21
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Abstract
PURPOSE We aimed to determine which early EEG features and feature combinations most accurately predicted short-term neurobehavioral outcomes and survival in children resuscitated after cardiac arrest. METHODS This was a prospective, single-center observational study of infants and children resuscitated from cardiac arrest who underwent conventional EEG monitoring with standardized EEG scoring. Logistic regression evaluated the marginal effect of each EEG variable or EEG variable combinations on the outcome. The primary outcome was neurobehavioral outcome (Pediatric Cerebral Performance Category score), and the secondary outcome was mortality. The authors identified the models with the highest areas under the receiver operating characteristic curve (AUC), evaluated the optimal models using a 5-fold cross-validation approach, and calculated test characteristics maximizing specificity. RESULTS Eighty-nine infants and children were evaluated. Unfavorable neurologic outcome (Pediatric Cerebral Performance Category score 4-6) occurred in 44 subjects (49%), including mortality in 30 subjects (34%). A model incorporating a four-level EEG Background Category (normal, slow-disorganized, discontinuous or burst-suppression, or attenuated-flat), stage 2 Sleep Transients (present or absent), and Reactivity-Variability (present or absent) had the highest AUC. Five-fold cross-validation for the optimal model predicting neurologic outcome indicated a mean AUC of 0.75 (range, 0.70-0.81) and for the optimal model predicting mortality indicated a mean AUC of 0.84 (range, 0.76-0.97). The specificity for unfavorable neurologic outcome and mortality were 95% and 97%, respectively. The positive predictive value for unfavorable neurologic outcome and mortality were both 86%. CONCLUSIONS The specificity of the optimal model using a combination of early EEG features was high for unfavorable neurologic outcome and mortality in critically ill children after cardiac arrest. However, the positive predictive value was only 86% for both outcomes. Therefore, EEG data must be considered in overall clinical context when used for neuroprognostication early after cardiac arrest.
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22
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Kim H, Kim YT, Song ES, Yoon BC, Choi YH, Kim K, Kim DJ. Changes in the gray and white matter of patients with ischemic-edematous insults after traumatic brain injury. J Neurosurg 2019; 131:1243-1253. [PMID: 30485242 DOI: 10.3171/2018.5.jns172711] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/26/2017] [Accepted: 05/10/2018] [Indexed: 11/06/2022]
Abstract
OBJECTIVE Gray matter (GM) and white matter (WM) are vulnerable to ischemic-edematous insults after traumatic brain injury (TBI). The extent of secondary insult after brain injury is quantifiable using quantitative CT analysis. One conventional quantitative CT measure, the gray-white matter ratio (GWR), and a more recently proposed densitometric analysis are used to assess the extent of these insults. However, the prognostic capacity of the GWR in patients with TBI has not yet been validated. This study aims to test the prognostic value of the GWR and evaluate the alternative parameters derived from the densitometric analysis acquired during the acute phase of TBI. In addition, the prognostic ability of the conventional TBI prognostic models (i.e., IMPACT [International Mission for Prognosis and Analysis of Clinical Trials in TBI] and CRASH [Corticosteroid Randomisation After Significant Head Injury] models) were compared to that of the quantitative CT measures. METHODS Three hundred patients with TBI of varying ages (92 pediatric, 94 adult, and 114 geriatric patients) and admitted between 2008 and 2013 were included in this retrospective cohort study. The normality of the density of the deep GM and whole WM was evaluated as the proportion of CT pixels with Hounsfield unit values of 31-35 for GM and 26-30 for WM on CT images of the entire supratentorial brain. The outcome was evaluated using the Glasgow Outcome Scale (GOS) at discharge (GOS score ≤ 3, n = 100). RESULTS Lower proportions of normal densities in the deep GM and whole WM indicated worse outcomes. The proportion of normal WM exhibited a significant prognostic capacity (area under the curve [AUC] = 0.844). The association between the outcome and the normality of the WM density was significant in adult (AUC = 0.792), pediatric (AUC = 0.814), and geriatric (AUC = 0.885) patients. In pediatric patients, the normality of the overall density and the density of the GM were indicative of the outcome (AUC = 0.751). The average GWR was not associated with the outcome (AUC = 0.511). IMPACT and CRASH models showed adequate and reliable performance in the pediatric and geriatric groups but not in the adult group. The highest overall predictive performance was achieved by the densitometry-augmented IMPACT model (AUC = 0.881). CONCLUSIONS Both deep GM and WM are susceptible to ischemic-edematous insults during the early phase of TBI. The extent of the secondary injury was better evaluated by analyzing the normality of the deep GM and WM rather than by calculating the GWR.
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Affiliation(s)
- Hakseung Kim
- 1Department of Brain and Cognitive Engineering, Korea University, Seongbuk-gu, Seoul, South Korea
| | - Young-Tak Kim
- 1Department of Brain and Cognitive Engineering, Korea University, Seongbuk-gu, Seoul, South Korea
| | - Eun-Suk Song
- 1Department of Brain and Cognitive Engineering, Korea University, Seongbuk-gu, Seoul, South Korea
| | - Byung C Yoon
- 2Department of Radiology, Stanford University School of Medicine, Stanford, California; and
| | | | - Keewon Kim
- 4Rehabilitation, Seoul National University Hospital, College of Medicine, Jongno-gu, Seoul, South Korea
| | - Dong-Joo Kim
- 1Department of Brain and Cognitive Engineering, Korea University, Seongbuk-gu, Seoul, South Korea
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23
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Geocadin RG, Callaway CW, Fink EL, Golan E, Greer DM, Ko NU, Lang E, Licht DJ, Marino BS, McNair ND, Peberdy MA, Perman SM, Sims DB, Soar J, Sandroni C. Standards for Studies of Neurological Prognostication in Comatose Survivors of Cardiac Arrest: A Scientific Statement From the American Heart Association. Circulation 2019; 140:e517-e542. [DOI: 10.1161/cir.0000000000000702] [Citation(s) in RCA: 153] [Impact Index Per Article: 30.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/13/2022]
Abstract
Significant improvements have been achieved in cardiac arrest resuscitation and postarrest resuscitation care, but mortality remains high. Most of the poor outcomes and deaths of cardiac arrest survivors have been attributed to widespread brain injury. This brain injury, commonly manifested as a comatose state, is a marker of poor outcome and a major basis for unfavorable neurological prognostication. Accurate prognostication is important to avoid pursuing futile treatments when poor outcome is inevitable but also to avoid an inappropriate withdrawal of life-sustaining treatment in patients who may otherwise have a chance of achieving meaningful neurological recovery. Inaccurate neurological prognostication leading to withdrawal of life-sustaining treatment and deaths may significantly bias clinical studies, leading to failure in detecting the true study outcomes. The American Heart Association Emergency Cardiovascular Care Science Subcommittee organized a writing group composed of adult and pediatric experts from neurology, cardiology, emergency medicine, intensive care medicine, and nursing to review existing neurological prognostication studies, the practice of neurological prognostication, and withdrawal of life-sustaining treatment. The writing group determined that the overall quality of existing neurological prognostication studies is low. As a consequence, the degree of confidence in the predictors and the subsequent outcomes is also low. Therefore, the writing group suggests that neurological prognostication parameters need to be approached as index tests based on relevant neurological functions that are directly related to the functional outcome and contribute to the quality of life of cardiac arrest survivors. Suggestions to improve the quality of adult and pediatric neurological prognostication studies are provided.
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24
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Topjian AA, de Caen A, Wainwright MS, Abella BS, Abend NS, Atkins DL, Bembea MM, Fink EL, Guerguerian AM, Haskell SE, Kilgannon JH, Lasa JJ, Hazinski MF. Pediatric Post–Cardiac Arrest Care: A Scientific Statement From the American Heart Association. Circulation 2019; 140:e194-e233. [DOI: 10.1161/cir.0000000000000697] [Citation(s) in RCA: 79] [Impact Index Per Article: 15.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/17/2022]
Abstract
Successful resuscitation from cardiac arrest results in a post–cardiac arrest syndrome, which can evolve in the days to weeks after return of sustained circulation. The components of post–cardiac arrest syndrome are brain injury, myocardial dysfunction, systemic ischemia/reperfusion response, and persistent precipitating pathophysiology. Pediatric post–cardiac arrest care focuses on anticipating, identifying, and treating this complex physiology to improve survival and neurological outcomes. This scientific statement on post–cardiac arrest care is the result of a consensus process that included pediatric and adult emergency medicine, critical care, cardiac critical care, cardiology, neurology, and nursing specialists who analyzed the past 20 years of pediatric cardiac arrest, adult cardiac arrest, and pediatric critical illness peer-reviewed published literature. The statement summarizes the epidemiology, pathophysiology, management, and prognostication after return of sustained circulation after cardiac arrest, and it provides consensus on the current evidence supporting elements of pediatric post–cardiac arrest care.
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25
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Lee S, Zhao X, Davis KA, Topjian AA, Litt B, Abend NS. Quantitative EEG predicts outcomes in children after cardiac arrest. Neurology 2019; 92:e2329-e2338. [PMID: 30971485 DOI: 10.1212/wnl.0000000000007504] [Citation(s) in RCA: 22] [Impact Index Per Article: 4.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/10/2018] [Accepted: 01/17/2019] [Indexed: 02/06/2023] Open
Abstract
OBJECTIVE To determine whether quantitative EEG (QEEG) features predict neurologic outcomes in children after cardiac arrest. METHODS We performed a single-center prospective observational study of 87 consecutive children resuscitated and admitted to the pediatric intensive care unit after cardiac arrest. Full-array conventional EEG data were obtained as part of clinical management. We computed 8 QEEG features from 5-minute epochs every hour after return of circulation. We developed predictive models utilizing random forest classifiers trained on patient age and 8 QEEG features to predict outcome. The features included SD of each EEG channel, normalized band power in alpha, beta, theta, delta, and gamma wave frequencies, line length, and regularity function scores. We measured outcomes using Pediatric Cerebral Performance Category (PCPC) scores. We evaluated the models using 5-fold cross-validation and 1,000 bootstrap samples. RESULTS The best performing model had a 5-fold cross-validation accuracy of 0.8 (0.88 area under the receiver operating characteristic curve). It had a positive predictive value of 0.79 and a sensitivity of 0.84 in predicting patients with favorable outcomes (PCPC score of 1-3). It had a negative predictive value of 0.8 and a specificity of 0.75 in predicting patients with unfavorable outcomes (PCPC score of 4-6). The model also identified the relative importance of each feature. Analyses using only frontal electrodes did not differ in prediction performance compared to analyses using all electrodes. CONCLUSIONS QEEG features can standardize EEG interpretation and predict neurologic outcomes in children after cardiac arrest.
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Affiliation(s)
- Seungha Lee
- From the Department of Bioengineering (S.L., X.Z., B.L.), The University of Pennsylvania; Department of Neurology (K.A.D., B.L., N.S.A.), Perelman School of Medicine at the University of Pennsylvania; and the Departments of Pediatrics (N.S.A.) and Anesthesia and Critical Care Medicine (A.A.T., N.S.A.), Children's Hospital of Philadelphia and Perelman School of Medicine at the University of Pennsylvania, Philadelphia
| | - Xuelong Zhao
- From the Department of Bioengineering (S.L., X.Z., B.L.), The University of Pennsylvania; Department of Neurology (K.A.D., B.L., N.S.A.), Perelman School of Medicine at the University of Pennsylvania; and the Departments of Pediatrics (N.S.A.) and Anesthesia and Critical Care Medicine (A.A.T., N.S.A.), Children's Hospital of Philadelphia and Perelman School of Medicine at the University of Pennsylvania, Philadelphia
| | - Kathryn A Davis
- From the Department of Bioengineering (S.L., X.Z., B.L.), The University of Pennsylvania; Department of Neurology (K.A.D., B.L., N.S.A.), Perelman School of Medicine at the University of Pennsylvania; and the Departments of Pediatrics (N.S.A.) and Anesthesia and Critical Care Medicine (A.A.T., N.S.A.), Children's Hospital of Philadelphia and Perelman School of Medicine at the University of Pennsylvania, Philadelphia
| | - Alexis A Topjian
- From the Department of Bioengineering (S.L., X.Z., B.L.), The University of Pennsylvania; Department of Neurology (K.A.D., B.L., N.S.A.), Perelman School of Medicine at the University of Pennsylvania; and the Departments of Pediatrics (N.S.A.) and Anesthesia and Critical Care Medicine (A.A.T., N.S.A.), Children's Hospital of Philadelphia and Perelman School of Medicine at the University of Pennsylvania, Philadelphia
| | - Brian Litt
- From the Department of Bioengineering (S.L., X.Z., B.L.), The University of Pennsylvania; Department of Neurology (K.A.D., B.L., N.S.A.), Perelman School of Medicine at the University of Pennsylvania; and the Departments of Pediatrics (N.S.A.) and Anesthesia and Critical Care Medicine (A.A.T., N.S.A.), Children's Hospital of Philadelphia and Perelman School of Medicine at the University of Pennsylvania, Philadelphia
| | - Nicholas S Abend
- From the Department of Bioengineering (S.L., X.Z., B.L.), The University of Pennsylvania; Department of Neurology (K.A.D., B.L., N.S.A.), Perelman School of Medicine at the University of Pennsylvania; and the Departments of Pediatrics (N.S.A.) and Anesthesia and Critical Care Medicine (A.A.T., N.S.A.), Children's Hospital of Philadelphia and Perelman School of Medicine at the University of Pennsylvania, Philadelphia.
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Yang D, Ha SG, Ryoo E, Choi JY, Kim HJ. Multimodal assessment using early brain CT and blood pH improve prediction of neurologic outcomes after pediatric cardiac arrest. Resuscitation 2019; 137:7-13. [PMID: 30735742 DOI: 10.1016/j.resuscitation.2019.01.033] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/10/2018] [Revised: 12/25/2018] [Accepted: 01/26/2019] [Indexed: 01/02/2023]
Abstract
BACKGROUND Early prediction of neurologic prognosis in children resuscitated from cardiac arrest is a major challenge. This study aimed to investigate the usefulness of a combined model based on brain computed tomography (CT) and initial blood gas analysis to predict neurologic prognoses in pediatric patients after cardiac arrest. METHODS We retrospectively analyzed the medical records of patients resuscitated after cardiac arrest from 2000 to 2018. Patients aged one month to 18 years were included. Gray to white matter ratio (GWR), ambient cistern effacement (ACE), and blood gas analysis were studied. The primary outcome was neurological prognosis, which was evaluated using the Pediatric Cerebral Performance Category (PCPC) scale at discharge. RESULTS Of 97 resuscitated patients, 64 brain CT images were available. Fourteen patients had a good neurologic outcome (PCPC 1-3) and 50 patients a poor neurologic outcome (PCPC 4-6). The multimodal model (AUC 0.897) containing GWR of basal ganglia (BG), ACE, and blood pH was found to be superior for predicting poor neurologic prognosis than single variable models (AUC of GWR-BG: 0.744, ACE: 0.804, pH: 0.747). Interestingly, we found the GWR-BG cutoff value for specificity 100% differed significantly between patients <4 years (cutoff value: 1.08, p = 0.04) and ≥4 years (cutoff value: 1.18, p = 0.004). CONCLUSIONS The combination of GWR-BG, ambient cistern effacement, and blood pH was found to usefully predict neurological outcome in children resuscitated from cardiac arrest. In addition, the cutoff value of GWR-BG for the prediction of neurologic outcome was found to increase with age.
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Affiliation(s)
- Donghwa Yang
- Department of Pediatrics, Gachon University Gil Medical Center, Gachon University College of Medicine, Incheon, Republic of Korea
| | - Seok Gyun Ha
- Department of Pediatrics, Gachon University Gil Medical Center, Gachon University College of Medicine, Incheon, Republic of Korea
| | - Eell Ryoo
- Department of Pediatrics, Gachon University Gil Medical Center, Gachon University College of Medicine, Incheon, Republic of Korea
| | - Jae Yeon Choi
- Department of Emergency Medicine, Gachon University Gil Medical Center, Gachon University College of Medicine, Incheon, Republic of Korea
| | - Hyo Jeong Kim
- Department of Pediatrics, Gachon University Gil Medical Center, Gachon University College of Medicine, Incheon, Republic of Korea.
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Yang D, Ryoo E, Kim HJ. Combination of Early EEG, Brain CT, and Ammonia Level Is Useful to Predict Neurologic Outcome in Children Resuscitated From Cardiac Arrest. Front Pediatr 2019; 7:223. [PMID: 31214555 PMCID: PMC6558142 DOI: 10.3389/fped.2019.00223] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/22/2019] [Accepted: 05/20/2019] [Indexed: 01/19/2023] Open
Abstract
Purpose: Predicting neurologic prognosis in pediatric patients recovered after cardiac arrest is more difficult than in adults. This study hypothesized that a combination model of early electroencephalography, brain computed tomography (CT), and laboratory findings improve prediction performance of neurologic outcome in pediatric patients after cardiac arrest. Methods: We retrospectively analyzed the medical records of pediatric patients resuscitated after non-traumatic cardiac arrest. Clinical features, electroencephalography, gray matter to white matter attenuation ratio on brain CT, and laboratory findings were analyzed. The primary outcome was neurologic prognosis based on the Pediatric Cerebral Performance Category score. Results: Of 21 patients, seven (33.3%) were classified as a good neurologic outcome group and 14 (66.7%) were classified as a poor neurologic outcome group. The good outcome group was associated with a slow and disorganized electroencephalographic background pattern (P = 0.006), reactivity (P = 0.006), and electrographic seizures (P = 0.03). The frequency of a suppressed electroencephalographic background pattern was significantly higher in the poor outcome group (P = 0.006). The poor outcome group was also associated with a low level of gray matter to white matter attenuation ratio (P = 0.03) and hyperammonemia (P = 0.003). The area under curve of the combined model, consisting of electroencephalographic background, gray matter to white matter attenuation ratio, and ammonia was the highest at 0.959 (0.772-0.999) with a specificity of 100%. Conclusion: Unfavorable electroencephalographic background, low gray matter to white matter attenuation ratio on brain CT, and hyperammonemia are associated with poor neurologic outcome in children after cardiac arrest.
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Affiliation(s)
- Donghwa Yang
- Department of Pediatrics, Gachon University Gil Medical Center, Gachon University College of Medicine, Incheon, South Korea
| | - Eell Ryoo
- Department of Pediatrics, Gachon University Gil Medical Center, Gachon University College of Medicine, Incheon, South Korea
| | - Hyo Jeong Kim
- Department of Pediatrics, Gachon University Gil Medical Center, Gachon University College of Medicine, Incheon, South Korea
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Abend NS, Xiao R, Kessler SK, Topjian AA. Stability of Early EEG Background Patterns After Pediatric Cardiac Arrest. J Clin Neurophysiol 2018; 35:246-250. [PMID: 29443794 DOI: 10.1097/wnp.0000000000000458] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/25/2022] Open
Abstract
PURPOSE We aimed to determine whether EEG background characteristics remain stable across discrete time periods during the acute period after resuscitation from pediatric cardiac arrest. METHODS Children resuscitated from cardiac arrest underwent continuous conventional EEG monitoring. The EEG was scored in 12-hour epochs for up to 72 hours after return of circulation by an electroencephalographer using a Background Category with 4 levels (normal, slow-disorganized, discontinuous/burst-suppression, or attenuated-featureless) or 2 levels (normal/slow-disorganized or discontinuous/burst-suppression/attenuated-featureless). Survival analyses and mixed-effects ordinal logistic regression models evaluated whether the EEG remained stable across epochs. RESULTS EEG monitoring was performed in 89 consecutive children. When EEG was assessed as the 4-level Background Category, 30% of subjects changed category over time. Based on initial Background Category, one quarter of the subjects changed EEG category by 24 hours if the initial EEG was attenuated-featureless, by 36 hours if the initial EEG was discontinuous or burst-suppression, by 48 hours if the initial EEG was slow-disorganized, and never if the initial EEG was normal. However, regression modeling for the 4-level Background Category indicated that the EEG did not change over time (odds ratio = 1.06, 95% confidence interval = 0.96-1.17, P = 0.26). Similarly, when EEG was assessed as the 2-level Background Category, 8% of subjects changed EEG category over time. However, regression modeling for the 2-level category indicated that the EEG did not change over time (odds ratio = 1.02, 95% confidence interval = 0.91-1.13, P = 0.75). CONCLUSIONS The EEG Background Category changes over time whether analyzed as 4 levels (30% of subjects) or 2 levels (8% of subjects), although regression analyses indicated that no significant changes occurred over time for the full cohort. These data indicate that the Background Category is often stable during the acute 72 hours after pediatric cardiac arrest and thus may be a useful EEG assessment metric in future studies, but that some subjects do have EEG changes over time and therefore serial EEG assessments may be informative.
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Affiliation(s)
- Nicholas S Abend
- Departments of Neurology and Pediatrics, Children's Hospital of Philadelphia, University of Pennsylvania, Philadelphia, PA, U.S.A
| | - Rui Xiao
- Center for Clinical Epidemiology and Biostatistics, University of Pennsylvania, Philadelphia, PA, U.S.A
| | - Sudha Kilaru Kessler
- Departments of Neurology and Pediatrics, Children's Hospital of Philadelphia, University of Pennsylvania, Philadelphia, PA, U.S.A
| | - Alexis A Topjian
- Center for Clinical Epidemiology and Biostatistics, University of Pennsylvania, Philadelphia, PA, U.S.A
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Abstract
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.
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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; 132:21-28. [PMID: 30165096 DOI: 10.1016/j.resuscitation.2018.08.024] [Citation(s) in RCA: 40] [Impact Index Per Article: 6.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/02/2018] [Revised: 08/20/2018] [Accepted: 08/23/2018] [Indexed: 11/21/2022]
Abstract
AIMS This study aimed to evaluate the prognostic accuracy of the gray matter to white matter ratio (GWR) in predicting neurological outcomes in post-cardiac arrest patients treated with target temperature management. DATA SOURCES We systematically searched MEDLINE and EMBASE (Search date: 09/13/2017). Included studies were those evaluating neurological outcomes using the cerebral performance categories scale. We performed a subgroup analysis based on the location of the measurement. The Quality Assessment of Diagnostic Accuracy Studies-2 tool was used to assess the risk of bias. RESULTS In total, 1150 patients from 10 observational studies were included. GWR of the basal ganglia (BG) average showed the highest value (area under the curve [AUC] 0.96, SE 0.02, Q 0.90) compared with the putamen/posterior limb of internal capsule (AUC 0.93, SE 0.05, Q 0.87), overall average (AUC 0.91, SE 0.02, Q 0.85), and cerebrum (AUC 0.89, SE 0.05, Q 0.82) for prognostic accuracy. Furthermore, the highest pooled diagnostic odd ratio of GWR for predicting poor neurological outcomes was shown for the BG average (21.00, 95% CI 6.85-64.40) followed by the overall average (20.71, 95% CI 9.53-44.98), putamen/posterior limb of internal capsule (16.08, 95% CI 4.36-59.23), and cerebrum (13.96, 95% CI 4.26-45.76). CONCLUSIONS GWR in the early cranial computed tomography scan had high prognostic value in predicting poor neurological outcomes in post-cardiac arrest patients. The BG GWR had the highest prognostic accuracy when compared to other locations of the brain.
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Du Pont-Thibodeau G, Fry M, Kirschen M, Abend NS, Ichord R, Nadkarni VM, Berg R, Topjian A. Timing and modes of death after pediatric out-of-hospital cardiac arrest resuscitation. Resuscitation 2018; 133:160-166. [PMID: 30118814 DOI: 10.1016/j.resuscitation.2018.08.014] [Citation(s) in RCA: 22] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/21/2018] [Revised: 08/08/2018] [Accepted: 08/13/2018] [Indexed: 12/18/2022]
Abstract
AIM To determine the timing and modes of death of children admitted to a pediatric critical care unit (PICU) of a tertiary care center after an out-of-hospital cardiac arrest (OHCA). METHODS This is a retrospective descriptive study at a tertiary care PICU of all consecutive patients <18 years old who received ≥1 min of chest compressions, had return of spontaneous circulation (ROSC) for ≥20 min, and were admitted to the PICU after an OHCA. Modes of death were classified as brain death (BD), withdrawal due to neurologic prognosis (W/D-neuro), withdrawal for refractory circulatory failure (W/D-RCF), and re-arrest without ROSC (RA). RESULTS 191 consecutive patients were admitted to the PICU from February 2005 to May 2013 after an OHCA. Eighty-six(45%) patients died prior to discharge: BD in 47%(40/86), W/D-neuro in 34%(29/86), W/D-RCF in 10%(9/86), and RA in 9%(8/86). Time to death was longer for patients with W/D-neuro: 4 days [1, 5] and BD 4 days [1, 5](p < 0.01) as opposed to those with W/D-RCF (1 day[1, 2]) and RA(1 day[0.5, 1]). Of patients who underwent W/D-neuro, 9/29(31%) died within 3 days of PICU admission and 20/29(69%) ≥3 days. Of patients who died after W/D-neuro, 12/29(41%) received therapeutic hypothermia, 27/29(93%) underwent EEG monitoring, 21/29(72%) had a brain CT, and 13/29(45%) had a brain MRI. All MRIs showed signs of hypoxic-ischemic injury. CONCLUSION Neurologic injury was the most common mode of death post-resuscitation care OHCA after in a tertiary care center PICU. Neurologic prognostication impacts the outcome of a large proportion of patients after OHCA, and further studies are warranted to improve its reliability.
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Affiliation(s)
- Geneviève Du Pont-Thibodeau
- Department of Pediatrics, Sainte-Justine University Hospital, University of Montreal, Montreal, Quebec, Canada.
| | - Michael Fry
- The Children's Hospital of Philadelphia, Perelman School of Medicine of the University of Pennsylvania, Philadelphia, United States; Department of Anesthesiology and Critical Care Medicine, United States
| | - Matthew Kirschen
- The Children's Hospital of Philadelphia, Perelman School of Medicine of the University of Pennsylvania, Philadelphia, United States; Department of Anesthesiology and Critical Care Medicine, United States; Department of Neurology, United States
| | - Nicholas S Abend
- The Children's Hospital of Philadelphia, Perelman School of Medicine of the University of Pennsylvania, Philadelphia, United States; Department of Neurology, United States
| | - Rebecca Ichord
- The Children's Hospital of Philadelphia, Perelman School of Medicine of the University of Pennsylvania, Philadelphia, United States; Department of Neurology, United States
| | - Vinay M Nadkarni
- The Children's Hospital of Philadelphia, Perelman School of Medicine of the University of Pennsylvania, Philadelphia, United States; Department of Anesthesiology and Critical Care Medicine, United States
| | - Robert Berg
- The Children's Hospital of Philadelphia, Perelman School of Medicine of the University of Pennsylvania, Philadelphia, United States; Department of Anesthesiology and Critical Care Medicine, United States
| | - Alexis Topjian
- The Children's Hospital of Philadelphia, Perelman School of Medicine of the University of Pennsylvania, Philadelphia, United States; Department of Anesthesiology and Critical Care Medicine, United States
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Interrater Agreement of EEG Interpretation After Pediatric Cardiac Arrest Using Standardized Critical Care EEG Terminology. J Clin Neurophysiol 2018; 34:534-541. [PMID: 29023307 DOI: 10.1097/wnp.0000000000000424] [Citation(s) in RCA: 18] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/26/2022] Open
Abstract
PURPOSE We evaluated interrater agreement of EEG interpretation in a cohort of critically ill children resuscitated after cardiac arrest using standardized EEG terminology. METHODS Four pediatric electroencephalographers scored 10-minute EEG segments from 72 consecutive children obtained 24 hours after return of circulation using the American Clinical Neurophysiology Society's (ACNS) Standardized Critical Care EEG terminology. The percent of perfect agreement and the kappa coefficient were calculated for each of the standardized EEG variables and a predetermined composite EEG background category. RESULTS The overall background category (normal, slow-disorganized, discontinuous, or attenuated-featureless) had almost perfect agreement (kappa 0.89).The ACNS Standardized Critical Care EEG variables had agreement that was (1) almost perfect for the seizures variable (kappa 0.93), (2) substantial for the continuity (kappa 0.79), voltage (kappa 0.70), and sleep transient (kappa 0.65) variables, (3) moderate for the rhythmic or periodic patterns (kappa 0.55) and interictal epileptiform discharge (kappa 0.60) variables, and (4) fair for the predominant frequency (kappa 0.23) and symmetry (kappa 0.31) variables. Condensing variable options led to improved agreement for the continuity and voltage variables. CONCLUSIONS These data support the use of the standardized terminology and the composite overall background category as a basis for standardized EEG interpretation for subsequent studies assessing EEG background for neuroprognostication after pediatric cardiac arrest.
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Marino BS, Tabbutt S, MacLaren G, Hazinski MF, Adatia I, Atkins DL, Checchia PA, DeCaen A, Fink EL, Hoffman GM, Jefferies JL, Kleinman M, Krawczeski CD, Licht DJ, Macrae D, Ravishankar C, Samson RA, Thiagarajan RR, Toms R, Tweddell J, Laussen PC. Cardiopulmonary Resuscitation in Infants and Children With Cardiac Disease: A Scientific Statement From the American Heart Association. Circulation 2018; 137:e691-e782. [PMID: 29685887 DOI: 10.1161/cir.0000000000000524] [Citation(s) in RCA: 103] [Impact Index Per Article: 17.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/19/2023]
Abstract
Cardiac arrest occurs at a higher rate in children with heart disease than in healthy children. Pediatric basic life support and advanced life support guidelines focus on delivering high-quality resuscitation in children with normal hearts. The complexity and variability in pediatric heart disease pose unique challenges during resuscitation. A writing group appointed by the American Heart Association reviewed the literature addressing resuscitation in children with heart disease. MEDLINE and Google Scholar databases were searched from 1966 to 2015, cross-referencing pediatric heart disease with pertinent resuscitation search terms. The American College of Cardiology/American Heart Association classification of recommendations and levels of evidence for practice guidelines were used. The recommendations in this statement concur with the critical components of the 2015 American Heart Association pediatric basic life support and pediatric advanced life support guidelines and are meant to serve as a resuscitation supplement. This statement is meant for caregivers of children with heart disease in the prehospital and in-hospital settings. Understanding the anatomy and physiology of the high-risk pediatric cardiac population will promote early recognition and treatment of decompensation to prevent cardiac arrest, increase survival from cardiac arrest by providing high-quality resuscitations, and improve outcomes with postresuscitation care.
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Kramer P, Miera O, Berger F, Schmitt K. Prognostic value of serum biomarkers of cerebral injury in classifying neurological outcome after paediatric resuscitation. Resuscitation 2017; 122:113-120. [PMID: 28939504 DOI: 10.1016/j.resuscitation.2017.09.012] [Citation(s) in RCA: 15] [Impact Index Per Article: 2.1] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/23/2017] [Revised: 09/15/2017] [Accepted: 09/18/2017] [Indexed: 01/06/2023]
Abstract
AIM To investigate if the serum biomarkers of cerebral injury, neuron-specific enolase and S100b protein, may classify unfavourable neurological outcome after paediatric cardiac arrest. METHODS We performed a retrospective study of neuron-specific enolase and S100b measurements from 95 children treated in our paediatric cardiac intensive care unit after cardiac arrest. Neurological outcome at discharge was evaluated using the paediatric cerebral performance category scale, with unfavourable outcome defined as a change of >1 compared to pre-arrest status or death. RESULTS Fifty-eight patients (61.1%) survived to discharge with 48 (50.5%) having a favourable neurological outcome. We observed significantly higher levels of both biomarkers in the unfavourable outcome group at designated time points (neuron-specific enolase at 24, 48, and 72h and S100b at 12, 24, and 48h after cardiac arrest, p<0.05). Receiver operating characteristic areas under the curve for neuron-specific enolase were 0.83, 0.80, and 0.73 at time points 24, 48, and 72h and 0.87, 0.81, and 0.82 for S100b at 12, 24, and 48h after cardiac arrest, respectively. Neuron-specific enolase measurement at 24h after cardiac arrest was an independent predictor of unfavourable outcome in a multivariable analysis. CONCLUSIONS Neuron-specific enolase and S100b classify unfavourable neurological outcome in this large paediatric cardiac arrest cohort. Further multi-institutional prospective studies to comprehensively evaluate the diagnostic accuracy of these biomarkers under various clinical conditions and to determine reliable cut-off values in children are warranted.
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Affiliation(s)
- Peter Kramer
- Department of Congenital Heart Disease/Paediatric Cardiology, Deutsches Herzzentrum Berlin, Augustenburger Platz 1, 13353 Berlin, Germany.
| | - Oliver Miera
- Department of Congenital Heart Disease/Paediatric Cardiology, Deutsches Herzzentrum Berlin, Augustenburger Platz 1, 13353 Berlin, Germany
| | - Felix Berger
- Department of Congenital Heart Disease/Paediatric Cardiology, Deutsches Herzzentrum Berlin, Augustenburger Platz 1, 13353 Berlin, Germany; Department of Paediatric Cardiology, Charité - Universitaetsmedizin Berlin, Campus Virchow-Klinikum, Augustenburger Platz 1, 13353, Berlin, Germany; German Centre for Cardiovascular Research (DZHK), Partner Site, Oudenarder Straße 16, 13347 Berlin, Germany
| | - Katharina Schmitt
- Department of Congenital Heart Disease/Paediatric Cardiology, Deutsches Herzzentrum Berlin, Augustenburger Platz 1, 13353 Berlin, Germany; German Centre for Cardiovascular Research (DZHK), Partner Site, Oudenarder Straße 16, 13347 Berlin, Germany
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Caprarola SD, Kudchadkar SR, Bembea MM. Neurologic Outcomes Following Care in the Pediatric Intensive Care Unit. ACTA ACUST UNITED AC 2017; 3:193-207. [PMID: 29218262 DOI: 10.1007/s40746-017-0092-x] [Citation(s) in RCA: 12] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/14/2022]
Abstract
Purpose of review With increasing survival of children requiring admission to pediatric intensive care units (PICU), neurodevelopmental outcomes of these patients are an area of increased attention. Our goal was to systematically review recently published literature on neurologic outcomes of PICU patients. Recent Findings Decline in neurofunctional status occurs in 3%-20% of children requiring PICU care. This proportion varies based on primary diagnosis and severity of illness, with children admitted for primary neurologic diagnosis, children who suffer cardiac arrest or who require invasive interventions during the PICU admission, having worse outcomes. Recent research focuses on early identification and treatment of modifiable risk factors for unfavorable outcomes, and on long-term follow-up that moves beyond global cognitive outcomes and is increasingly including tests assessing multidimensional aspects of neurodevelopment. Summary The pediatric critical care research community has shifted focus from survival to survival with favorable neurologic outcomes of children admitted to the PICU.
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Affiliation(s)
- Sherrill D Caprarola
- Department of Pediatrics, Division of Pediatric Cardiology, Baylor College of Medicine/Texas Children's Hospital, 6621 Fannin St, Houston, TX, United States, 77030
| | - Sapna R Kudchadkar
- Departments of Anesthesiology and Critical Care Medicine, and Pediatrics, Johns Hopkins University School of Medicine, 1800 Orleans Street, Baltimore, MD, United States, 21287
| | - Melania M Bembea
- Departments of Anesthesiology and Critical Care Medicine, and Pediatrics, Johns Hopkins University School of Medicine, 1800 Orleans Street, Baltimore, MD, United States, 21287
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An Update on Cardiopulmonary Resuscitation in Children. CURRENT ANESTHESIOLOGY REPORTS 2017. [DOI: 10.1007/s40140-017-0216-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/26/2022]
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Thermoregulate, autoregulate and ventilate: brain-directed critical care for pediatric cardiac arrest. Curr Opin Pediatr 2017; 29:259-265. [PMID: 28306631 DOI: 10.1097/mop.0000000000000482] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 02/07/2023]
Abstract
PURPOSE OF REVIEW Cardiac arrest in childhood is associated with a high risk for mortality and poor long-term functional outcome. This review discusses the current evidence for neuroprotective therapies and goals for postarrest care in the context of the pathophysiology of hypoxic-ischemic injury, modalities for neurologic prognostication in these children and potential future monitoring paradigms for maximizing cerebral perfusion in the postarrest period. RECENT FINDINGS The recent publication of the in-hospital and out-of-hospital Therapeutic Hypothermia After Cardiac Arrest trials demonstrated a lack of statistically significant benefit for the use of postarrest therapeutic hypothermia. As a result, targeted normothermic temperature management has become standard of care. Continuous electroencephalographic monitoring during the acute postarrest period provides useful additional data for neurologic prognostication, in addition to its value for detection of seizures. Ongoing research into noninvasive monitoring of cerebrovascular autoregulation has the potential to individualize blood pressure goals in the postarrest period, maximizing cerebral perfusion in these patients. SUMMARY Therapeutic strategies after cardiac arrest seek to maximize cerebral perfusion while mitigating the effects of secondary brain injury and loss of autoregulation. Future research into new monitoring strategies and better long-term outcome measures may allow more precise targeting of therapies to these goals.
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Early Electroencephalographic Background Features Predict Outcomes in Children Resuscitated From Cardiac Arrest. Pediatr Crit Care Med 2016; 17:547-57. [PMID: 27097270 PMCID: PMC5201170 DOI: 10.1097/pcc.0000000000000740] [Citation(s) in RCA: 73] [Impact Index Per Article: 9.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/04/2023]
Abstract
OBJECTIVES To determine 1) whether early electroencephalographic background features were associated with survival and neurologic outcomes among children resuscitated from cardiac arrest and not treated with therapeutic hypothermia and 2) if addition of electroencephalographic background to commonly used clinical criteria is more predictive of outcome than clinical criteria alone. DESIGN Retrospective study. SETTING PICU and Cardiac ICUs of a tertiary children's hospital. PATIENTS Patients resuscitated from in-hospital or out-of-hospital cardiac arrest who underwent clinically indicated electroencephalographic monitoring and were not treated with therapeutic hypothermia. INTERVENTIONS None. MEASUREMENTS AND MAIN RESULTS One-hundred twenty-eight patients underwent electroencephalographic monitoring within 1 day of return of spontaneous circulation. Background category was normal in four subjects (3%), slow-disorganized in 58 subjects (45%), discontinuous-burst suppression in 24 subjects (19%) and attenuated-flat in 42 subjects (33%). Forty-six subjects (36%) had a reactive electroencephalography. Twenty subjects (15%) had a seizure during electroencephalographic monitoring. Absence of reactivity (p < 0.001) and seizures (p = 0.04) were associated with worse electroencephalographic background category. After controlling for covariates, for each incrementally worse background score, the odds of death was 3.63 (95% CI, 2.18-6.0; p < 0.001) and the odds of unfavorable neurologic outcome was 4.38 (95% CI, 2.51-7.17; p = 0.001). CONCLUSIONS Worse electroencephalographic background early after resuscitation from both in-hospital and out-of-hospital cardiac arrest is associated with increased odds of death and unfavorable neurologic outcomes at hospital discharge. These electroencephalographic background patterns may be used in addition to clinical criteria to support prognostic decision making.
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CT After Pediatric Out-of-Hospital Cardiac Arrest-Where To Go Next? Pediatr Crit Care Med 2015; 16:590-2. [PMID: 26154904 DOI: 10.1097/pcc.0000000000000458] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/25/2022]
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