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
2007
Role of intracranial pressure values and patterns in predicting outcome in traumatic brain injury: a systematic review
Treggiari MM, Schutz N, Yanez ND, Romand JA. Role of intracranial pressure values and patterns in predicting outcome in traumatic brain injury: a systematic review. Neurocritical Care 2007, 6: 104-112. PMID: 17522793, DOI: 10.1007/s12028-007-0012-1.Peer-Reviewed Original ResearchConceptsNeurological outcomePoor neurological outcomeIntracranial pressureICP valuesOdds ratioICP patternsLong-term outcomesNormal intracranial pressureSummary odds ratiosTraumatic brain injuryAbsolute ICP valuesIntracranial pressure valuesRegistry searchMethodsSystematic reviewProspective studyBrain injuryRelative riskICP monitoringMethodological qualityMAIN OUTCOMEReference listsSystematic reviewLogistic regressionICP 20Outcomes