Novel Techology for Early Indentification of Surgical Infections
早期识别手术感染的新技术
基本信息
- 批准号:9194914
- 负责人:
- 金额:$ 24.3万
- 依托单位:
- 依托单位国家:美国
- 项目类别:
- 财政年份:2016
- 资助国家:美国
- 起止时间:2016-07-01 至 2018-04-30
- 项目状态:已结题
- 来源:
- 关键词:AbateAntibioticsBacterial InfectionsBiocompatibleBiologicalBloodBlood VolumeCellsCharacteristicsClinicClinicalDebridementDetectionDevelopmentEarly DiagnosisEarly treatmentEnsureEnvironmentEnzyme-Linked Immunosorbent AssayEquipmentFailureFeverGranulation TissueHealedHome environmentHourImmuneImmune responseImplantInfectionInflammationInflammatoryInterleukin-6LeadLeukocytesMagnetic nanoparticlesMeasurementMeasuresMethodsMicroscopicMinorModelingMolecularMonitorMorbidity - disease rateMusMuscleNatureOperative Surgical ProceduresOralPatientsPeritonealPeritoneal FluidPhasePhysiciansPhysiologicalProbabilityProcessProductionPropertyProsthesisReadingRecoveryRunningSepsisSerumSiteSkinSourceStructureSurfaceSurgical incisionsSystemTemperatureTimeTissuesToxic effectUnited States Centers for Medicare and Medicaid ServicesVisiting NurseWound Healingabstractingcostcytokineeffective therapyhealingimproved outcomein vivoinflammatory markermortalitymouse modelnanoparticlenew technologynovelpatient orientedpoint of carerectalresponsetoolwound
项目摘要
Abstract:
Infections are common following surgery. It is critically important to identify infections quickly to avoid
complications including readmission, implant failure or sepsis. Early detection allows time for cultures to be
run and simple antibiotics to be effective. The Centers for Medicare & Medicaid Services recognize the serious
nature of the problem and in 2015 started imposing significant penalties for surgical readmissions. In addition,
early treatment enhances the probability that surgical implants and prosthetics remain viable because they
usually have to be removed or replaced if infection takes hold.
Inflammation is the earliest physiologic marker of infection, but it has many sources, and local inflammation
is necessary for normal wound healing. Surgical site infection, however, may be distinguishable from normal
wound healing by monitoring the character and time course of local inflammation at the surgical site.
Inflammation from wound healing and low levels of bacterial infection begins within hours and abates
completely within a few days after surgery, when the proliferative phase of wound healing begins.
Inflammation from infection increases monotonically and can reach far higher levels than normal healing. So
we believe that infection can be identified early by precisely tracking two local markers of inflammation:
cytokine IL-6 and local temperature. We propose to use novel magnetic nanoparticle probes to compare
changes in the local concentration of IL-6 and temperature for normal healing vs. infection. We hypothesize
that measuring the local level of these inflammatory markers over time will aid detection of surgical infection.
This novel technology may lead to an inexpensive, simple, point of care measurement system for early
detection and treatment of surgical infections.
文摘:
项目成果
期刊论文数量(0)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
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