2023
Trends in Upper Gastrointestinal Bleeding in Patients on Primary Prevention Aspirin: A Nationwide Emergency Department Sample Analysis, 2016-2020
Li D, Laine L, Shung D. Trends in Upper Gastrointestinal Bleeding in Patients on Primary Prevention Aspirin: A Nationwide Emergency Department Sample Analysis, 2016-2020. The American Journal Of Medicine 2023, 136: 1179-1186.e1. PMID: 37696350, PMCID: PMC10841721, DOI: 10.1016/j.amjmed.2023.08.010.Peer-Reviewed Original ResearchMeSH KeywordsAgedAnti-Inflammatory Agents, Non-SteroidalAspirinCardiovascular DiseasesEmergency Service, HospitalGastrointestinal HemorrhageHumansMedicarePrimary PreventionRisk FactorsUnited StatesConceptsUpper gastrointestinal bleedingGastrointestinal bleedingRed blood cell transfusionNationwide Emergency Department SamplePrimary cardiovascular preventionRecent guideline recommendationsBlood cell transfusionProportion of hospitalizationsEmergency Department SampleMedicare reimbursementInternational Statistical ClassificationRelated Health ProblemsCardiovascular preventionCell transfusionOlder patientsHospital admissionCommon etiologyGuideline recommendationsMajor complicationsUlcer diseaseEndoscopic interventionRevision codesAppropriate indicationsRecent guidelinesCardiovascular disease
2022
Disparities in Access to Endoscopy for Patients With Upper Gastrointestinal Bleeding Presenting to Emergency Departments
Rodriguez NJ, Zheng N, Mezzacappa C, Canavan M, Laine L, Shung D. Disparities in Access to Endoscopy for Patients With Upper Gastrointestinal Bleeding Presenting to Emergency Departments. Gastroenterology 2022, 164: 1044-1046.e4. PMID: 36228735, PMCID: PMC10083188, DOI: 10.1053/j.gastro.2022.10.001.Peer-Reviewed Original ResearchMeSH KeywordsEmergency Service, HospitalEndoscopy, GastrointestinalGastrointestinal HemorrhageHumansTrends in characteristics, management, and outcomes of patients presenting with gastrointestinal bleeding to emergency departments in the United States from 2006 to 2019
Zheng NS, Tsay C, Laine L, Shung DL. Trends in characteristics, management, and outcomes of patients presenting with gastrointestinal bleeding to emergency departments in the United States from 2006 to 2019. Alimentary Pharmacology & Therapeutics 2022, 56: 1543-1555. PMID: 36173090, PMCID: PMC9669230, DOI: 10.1111/apt.17238.Peer-Reviewed Original ResearchMeSH KeywordsEmergency Service, HospitalGastrointestinal HemorrhageHumansIncidenceOdds RatioPatient DischargeRetrospective StudiesUnited StatesConceptsGastrointestinal bleedingLength of stayEmergency departmentMultivariable analysisIncidence of GIBRed blood cell transfusionNationwide Emergency Department SampleBlood cell transfusionIncidence of patientsOutcomes of patientsSex-adjusted incidenceEmergency Department SampleCase fatality rateRecent epidemiologic studiesProportion of casesED dischargeMore comorbiditiesCell transfusionRBC transfusionMore patientsComorbid populationEpidemiological evaluationInpatient costsPrimary diagnosisEpidemiologic studies
2021
Early identification of patients with acute gastrointestinal bleeding using natural language processing and decision rules
Shung D, Tsay C, Laine L, Chang D, Li F, Thomas P, Partridge C, Simonov M, Hsiao A, Tay JK, Taylor A. Early identification of patients with acute gastrointestinal bleeding using natural language processing and decision rules. Journal Of Gastroenterology And Hepatology 2021, 36: 1590-1597. PMID: 33105045, DOI: 10.1111/jgh.15313.Peer-Reviewed Original ResearchConceptsNatural language processingElectronic health recordsLanguage processingNLP algorithmSystematized NomenclatureReal timeAcute gastrointestinal bleedingBidirectional Encoder RepresentationsDecision rulesEHR-based phenotyping algorithmsGastrointestinal bleedingRisk stratification scoresEncoder RepresentationsData elementsPhenotyping algorithmStratification scoresHealth recordsAlgorithmPhenotyping of patientsEmergency department patientsTime of presentationRisk stratification modelED reviewDeploymentExternal validation
2019
Validation of a Machine Learning Model That Outperforms Clinical Risk Scoring Systems for Upper Gastrointestinal Bleeding
Shung DL, Au B, Taylor RA, Tay JK, Laursen SB, Stanley AJ, Dalton HR, Ngu J, Schultz M, Laine L. Validation of a Machine Learning Model That Outperforms Clinical Risk Scoring Systems for Upper Gastrointestinal Bleeding. Gastroenterology 2019, 158: 160-167. PMID: 31562847, PMCID: PMC7004228, DOI: 10.1053/j.gastro.2019.09.009.Peer-Reviewed Original ResearchConceptsUpper gastrointestinal bleedingHospital-based interventionsComposite endpointScoring systemRockall scoreGastrointestinal bleedingClinical riskConsecutive unselected patientsLow-risk patientsClinical scoring systemRisk-scoring systemExternal validation cohortCharacteristic curve analysisInternal validation setOutpatient managementUnselected patientsValidation cohortEmergency departmentMedical CenterGreater AUCPatientsAbstractTextCurve analysisEndpointAUCMAP(ASH): A new scoring system for the prediction of intervention and mortality in upper gastrointestinal bleeding
Redondo‐Cerezo E, Vadillo‐Calles F, Stanley AJ, Laursen S, Laine L, Dalton HR, Ngu JH, Schultz M, Jiménez‐Rosales R. MAP(ASH): A new scoring system for the prediction of intervention and mortality in upper gastrointestinal bleeding. Journal Of Gastroenterology And Hepatology 2019, 35: 82-89. PMID: 31359521, DOI: 10.1111/jgh.14811.Peer-Reviewed Original ResearchConceptsUpper gastrointestinal bleedingGastrointestinal bleedingEndoscopic interventionGlasgow-Blatchford scoreSystolic blood pressureNew scoring systemBlatchford scoreProspective databaseBlood pressureRisk stratificationValidation cohortDevelopment cohortOriginal cohortEmergency roomMental statusRisk scoreClinical practiceFair discriminationScoring systemPatientsMortalityCohortNew scoreInterventionBleeding