2024
Soft phenotyping for sepsis via EHR time-aware soft clustering
Jiang S, Gai X, Treggiari M, Stead W, Zhao Y, Page C, Zhang A. Soft phenotyping for sepsis via EHR time-aware soft clustering. Journal Of Biomedical Informatics 2024, 152: 104615. PMID: 38423266, PMCID: PMC11073833, DOI: 10.1016/j.jbi.2024.104615.Peer-Reviewed Original ResearchElectronic health recordsRecovery trajectoriesSub-phenotypesHealth recordsClustering algorithmTiming of interventionLogistic regressionCondition associated with high mortalitySoft clustering algorithmDisease sub-phenotypesSepsis prediction modelSoft clusteringClinical variablesOptimal timing of interventionTemporal informationMedical plausibilityHigher mortalityClustering procedureAccurate informationOrgan dysfunctionAlgorithmDysregulated immune response to infectionInterventionHospitalSepsis-related organ dysfunction
2008
Intensive insulin therapy and mortality in critically ill patients
Treggiari MM, Karir V, Yanez ND, Weiss NS, Daniel S, Deem SA. Intensive insulin therapy and mortality in critically ill patients. Critical Care 2008, 12: r29. PMID: 18312617, PMCID: PMC2374630, DOI: 10.1186/cc6807.Peer-Reviewed Original ResearchMeSH KeywordsCohort StudiesCritical CareDose-Response Relationship, DrugFemaleGlycemic IndexHospital MortalityHumansHypoglycemiaHypoglycemic AgentsInsulinIntensive Care UnitsLength of StayMaleMiddle AgedMultiple Organ FailureRandomized Controlled Trials as TopicRegression AnalysisSeverity of Illness IndexTrauma CentersConceptsIntensive care unitHospital mortalityIll patientsSequential Organ Failure Assessment scoreOrgan Failure Assessment scorePost-cardiac surgery patientsLevel 1 trauma centerExcess hospital mortalityAdjusted hospital mortalityOccurrence of hypoglycemiaTight glycemic controlMain study endpointMultivariable regression analysisPeriod IIICU lengthPeriod IIICohort studyInsulin therapySurgery patientsGlycemic controlOrgan dysfunctionStudy endpointCare unitTrauma centerStudy population