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
2020
Implementation of the TaperGuard™ endotracheal tube in an unselected surgical population to reduce postoperative pneumonia
Martini RP, Yanez ND, Treggiari MM, Tekkali P, Soelberg C, Aziz MF. Implementation of the TaperGuard™ endotracheal tube in an unselected surgical population to reduce postoperative pneumonia. BMC Anesthesiology 2020, 20: 211. PMID: 32838740, PMCID: PMC7446207, DOI: 10.1186/s12871-020-01117-4.Peer-Reviewed Original ResearchConceptsPostoperative pneumoniaSubgroup of patientsBaseline cohortSurgical patientsIntervention cohortEndotracheal intubationOdds ratioNational Surgical Quality Improvement ProjectSurgical Quality Improvement ProjectUnselected surgical populationUnadjusted odds ratioHigh-risk populationPatient-level dataRisk of ventilatorQuality improvement projectInterrupted time series designElectronic health recordsHospital mortalityVAP bundleSurgical populationPatient characteristicsPneumonia riskHistoric cohortHospital admissionFurther risk reduction