Prognostic Value of MRI and Biomarkers in Comatose Post-cardiac Arrest Patients
Prognostic Value of MRI and Biomarkers in Comatose Post-cardiac Arrest Patients
批准号:
8101269
负责人:
GREGORY W ALBERS
金额:
$49.54万
依托单位:
依托单位国家:
美国
项目类别:
财政年份:
2008
资助国家:
美国
项目状态:
已结题
起止时间:
2008-08-15 至 2014-01-31
关键词:
BiochemicalBiochemical MarkersBiological MarkersBlindedBlood TestsBlood flowBrainBrain InjuriesBrain imagingCerebrumChronicChronic PhaseClinicalComaConsciousDevelopmentDiffusionDiffusion weighted imagingEnrollmentEthicsFutureGoalsHealthHealthcareHeart ArrestHospitalizationHospitalsHourImaging TechniquesInjuryIntensive Care UnitsInterruptionIschemiaIschemic Brain InjuryLeadLeftLifeMagnetic Resonance ImagingMeasurementMeasuresMetabolicMethodsMyocardial InfarctionNeurologicNeurologic ExaminationNeurological outcomeNeuron-Specific EnolaseNeuronal InjuryOutcomePathologyPatientsPersistent Vegetative StatePhysiciansPractice GuidelinesRecoveryRecovery of FunctionResearchResourcesSerumSerum MarkersSeveritiesSpecificitySpecimenSurvivorsTestingTherapeuticTherapeutic UsesTissuesUnited StatesWeightWithdrawaladjudicationbasebrain tissuebrain volumeclinical practicecostdisabilityfunctional outcomesimprovedinduced hypothermianatural hypothermianeurological recoveryneurotrophic protein S100betaoutcome forecastprematureprognostic
中文摘要
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英文摘要
DESCRIPTION (provided by applicant): Approximately 350,000 cardiac arrests occur each year in the United States. Up to half of these patients can be resuscitated successfully. In the past only 10% to 30% of comatose post-cardiac arrest patients had a good neurologic recovery, but these numbers will likely improve with the increasing use of therapeutic hypothermia. Early accurate prediction of neurologic outcome in comatose post-cardiac arrest patients is an important healthcare issue. Currently available prognostic variables are limited in that they identify only about one-third of poor outcome patients reliably, they do not accurately assess long-term outcome in survivors, and they have not been validated in patients undergoing therapeutic hypothermia. As a consequence, in current clinical practice, many comatose post-cardiac arrest patients are taken off life support early, based on an assumption of a poor prognosis, despite the absence of prognosticators that are highly specific for poor outcome. The overall goal of this research is to determine the value of state-of-the art MRI, quantitative diffusion-weighted imaging MRI (DWI), in conjunction with serum biomarkers for cerebral injury in predicting neurologic outcome of comatose post-cardiac arrest patients during the first few days after the arrest. In this 4-year study, 110 consecutive comatose post-cardiac arrest patients will undergo MRI between 36 and 96 hours after the arrest and serum biomarkers (S100b protein and neuron specific enolase) will be measured at 24, 48, and 72 hours. The treating team will be blinded to the DWI and biomarker results. Functional outcome at 6 months will be determined by an independent and blinded adjudication panel. Tissue fate will be determined by pathology specimens in those who die, and by chronic phase MRI in survivors. In our primary analysis we will determine whether DWI in conjunction with serum markers can reliably identify a larger proportion of patients with a poor outcome than conventional methods (neurologic exam and neurophysiologic tests). We will also determine the prognostic value of DWI and biomarkers alone in predicting outcome at 6 months. Finally, we will determine the relationships between DWI and tissue fate. The results of this study may substantially improve the accuracy of outcome prediction in comatose post- cardiac arrest patients in the future and hence safe lives as well as resources. Further, they may lead to the development of practice guidelines for the use of MRI and serum markers in these patients. PUBLIC HEALTH RELEVANCE: Patients who suffer a heart attack may present to the hospital in a comatose state as a result of transient interruption of blood flow to the brain. During the first few days of the hospitalization the physicians are oftentimes uncertain whether the patient is able to awaken, or whether he or she has sustained irreversible brain injury, leaving him/her permanently in a coma. Information obtained from the neurological examination is usually limited in predicting the patient's long term outcome. In this study we propose to assess the value of state-of-the art brain imaging techniques (MRI), and blood tests in predicting outcome in these patients. The results of this study may substantially improve early outcome prediction in comatose heart attack patients in the future, and hence save lives as well as health care resources.
期刊论文(5)
专著(0)
科研奖励(0)
会议论文
DOI:
10.1007/s12028-010-9412-8
发表时间:
2011-08
期刊:
NEUROCRITICAL CARE
影响因子:
3.5
作者:
[Samaniego, Edgar A., Mlynash, Michael, Caulfield, Anna Finley, Eyngorn, Irina, Wijman, Christine A. C.]
通讯作者:
Wijman, Christine A. C.
DOI:
10.1016/j.jocn.2018.08.020
发表时间:
2018-11
期刊:
Journal of clinical neuroscience : official journal of the Neurosurgical Society of Australasia
影响因子:
--
作者:
[Chung-Esaki HM, Mui G, Mlynash M, Eyngorn I, Catabay K, Hirsch KG]
通讯作者:
Hirsch KG
Stanford University Regional Coordinating Stroke Center for the NIH Stroke Trials Network
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资助金额:$145.82万
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财政年份:2021
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Stanford University Regional Coordinating Stroke Center for the NIH Stroke Trials Network
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财政年份:2018
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Stanford University Regional Coordinating Stroke Center for the NIH Stroke Trials Network
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DEFUSE 3: EnDovascular ThErapy Following Imaging EvalUation for ISchemic StrokE 3
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Stanford University Regional Coordinating Stroke Center for the NINDS Stroke Tria
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财政年份:2013
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Stanford University Regional Coordinating Stroke Center for the NINDS Stroke Tria
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财政年份:2013
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负责人:GREGORY W ALBERS
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依托单位:
Stanford University Regional Coordinating Stroke Center for the NINDS Stroke Tria
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财政年份:2013
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依托单位:
Stanford University Regional Coordinating Stroke Center for the NINDS Stroke Tria
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资助金额:$39.83万
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财政年份:2013
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CLINICAL TRIAL: TREATMENT OF ACUTE ISCHEMIC STROKE WITH THE NEUROTHERA? LASER SY
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New MRI techniques for cerebrovascular diseases
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New MRI techniques for cerebrovascular diseases
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Advanced MR and CT Imaging for Understanding Acute Stroke Evolution and Predictin
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海外基金