Early Beta-Blocker Utilization in Critically Ill Patients With Moderate-Severe Traumatic Brain Injury: A Retrospective Cohort Study
Kelly-Hedrick M, Liu S, Komisarow J, Hatfield J, Ohnuma T, Treggiari M, Colton K, Arulraja E, Vavilala M, Laskowitz D, Mathew J, Hernandez A, James M, Raghunathan K, Krishnamoorthy V. Early Beta-Blocker Utilization in Critically Ill Patients With Moderate-Severe Traumatic Brain Injury: A Retrospective Cohort Study. Journal Of Intensive Care Medicine 2024, 39: 875-882. PMID: 38449336, DOI: 10.1177/08850666241236724.Peer-Reviewed Original ResearchAssociated with hospital mortalityRetrospective cohort studyLength of stayModerate-severe TBITraumatic brain injuryCohort studyIntensive care unitBeta-blocker classHospital mortalityUtilization patternsClaims-based datasetHospital length of stayIll patientsCritically ill patientsIntensive care unit length of stayBrain injuryBeta-blockersHealthcare databasesInclusion criteriaSecondary outcomesPremier Healthcare DatabasePrimary outcomeVasopressor utilizationIntensive care unit stayHospitalSoft 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