Validation of a Genomics Based Prognostic in Severe Trauma
Validation of a Genomics Based Prognostic in Severe Trauma
批准号:
8427852
负责人:
LYLE L MOLDAWER
金额:
$46.58万
依托单位:
依托单位国家:
美国
项目类别:
财政年份:
2013
资助国家:
美国
项目状态:
已结题
起止时间:
2013-06-01 至 2017-04-30
关键词:
Admission activityAge-YearsAppearanceBenchmarkingBiologicalBiological ModelsBiological Response ModifiersBlood TransfusionBlunt TraumaCaringCause of DeathCessation of lifeClinicalClinical TrialsCritical IllnessDataDatabasesEnrollmentFailureFrequenciesFunctional disorderFutureGene Expression ProfileGenomicsGlucansGluesGoalsGrantHealthHospitalizationHourImmune responseImmunoglobulinsIndividualInflammationInjuryInstitutionInterferonsInterventionKineticsLeukocytesLymphocyteMedicineMeta-AnalysisModelingMultiple Organ FailureNosocomial InfectionsOne-Step dentin bonding systemOrganOrgan failureOutcomePatientsPatternPersonsPharmaceutical PreparationsPhysiologicalPlasmaPopulationRandomizedRandomized Clinical TrialsRandomized Controlled TrialsRecommendationRecoveryResearchRiskSecondary toSensitivity and SpecificitySepsisTechnologyTestingTherapeutic InterventionTimeToxic effectTraumaValidationVariantbasecostcytokinedesigngenome-wideimmunoregulationimprovedinclusion criteriainjuredintervention effectmeetingsmonocytemortalityneutrophilnovelprognosticprogramsprospectiveresponseresponse to injurysecondary infectionsuccesssystematic review
中文摘要
描述(由申请人提供):损伤仍然是总体死亡的第五大原因,也是美国45岁以下人群死亡的主要原因。在严重损伤患者中,多器官衰竭(MOF)和死亡仍然是不可接受的。在我们最近的Glue Grant研究中,19%的严重创伤患者死亡,41%发展为MOF,平均恢复时间为16天。尽管对严重创伤及其后遗症的基本病理生理学的了解有所提高,但在前瞻性随机临床试验中,基本上没有生物反应调节剂被证明是成功的。我们建议有相当比例的患者通常符合研究的纳入标准
英文摘要
DESCRIPTION (provided by applicant): Injuries continue to be the fifth leading cause of death overall and the leading cause of death for persons less than 45 years of age in the U.S. Multiorgan failure (MOF) and death remain unacceptably common in severely injured patients. In our recent Glue Grant study, 19% of severe trauma patients died, 41% developed MOF and the average time to recovery was 16 days. Despite an improved understanding of the basic pathophysiology of severe trauma and its sequelae, there are essentially no biological response modifiers that have proven successful in prospective, randomized clinical trials. We propose that a significant proportion of patients who would generally meet the inclusion criteria for a study of
severely injured patients, are not in need of immunomodulatory therapy and are not only unlikely to benefit but also suffer direct toxicity from such therapies. In contrast, there exists subset of patients who are going to have a protracted clinical course, and would benefit from interventional therapies with biological-response modifiers. The most important challenge today is to identify prospectively the subset of patients who are going to have a protracted clinical course, and would benefit from interventional therapies with biological-response modifiers. We believe that we have developed such a prospective genomic test. Therefore, the overall goal of this proposal is to prospectively validate a rapid genomic test obtained from blood leukocyte subpopulations of severely traumatized patients in the first 24 hrs after admission that can be used to discriminate those patients who will have a complicated clinical trajectory and would, therefore, be good candidates for interventional, immunomodulatory therapies. Based on our preliminary data, we have developed several genomic models based on total leukocyte and enriched blood neutrophils that retrospectively can identify patients who will have a poor clinical
outcome and would benefit from interventional immunological therapies. Here, we propose to validate this approach in 200 severely traumatized patients enrolled at two geographically-distinct institutions. These genomic tests will be compared for their precision to standard anatomical and physiological scoring systems, and models based on plasma cytokine concentrations. If successful, these studies would dramatically alter how clinical trials in severely traumatized patients would be conducted in the future. A successful, rapid, prognostic genomic test would reduce the size, cost and time required to evaluate new drugs in this population by identifying individuals at risk of a complicated outcome. Personalized medicine" would be one step closer to reality.
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