2021
Neural network predicts need for red blood cell transfusion for patients with acute gastrointestinal bleeding admitted to the intensive care unit
Shung D, Huang J, Castro E, Tay JK, Simonov M, Laine L, Batra R, Krishnaswamy S. Neural network predicts need for red blood cell transfusion for patients with acute gastrointestinal bleeding admitted to the intensive care unit. Scientific Reports 2021, 11: 8827. PMID: 33893364, PMCID: PMC8065139, DOI: 10.1038/s41598-021-88226-3.Peer-Reviewed Original ResearchConceptsAcute gastrointestinal bleedingRed blood cell transfusionBlood cell transfusionGastrointestinal bleedingHigh-risk patientsCell transfusionRed blood cellsPatient cohortIntensive Care III (MIMIC-III) critical care databaseIntensive care unit staySevere acute gastrointestinal bleedingPacked red blood cellsBlood cellsCommon gastrointestinal causesLaboratory test featuresTime-updated dataIntensive care unitValidation patient cohortCritical care databaseLarge urban hospitalMedical Information MartInternal validation setGastrointestinal causesUnit stayCare unit
2020
Machine Learning Prognostic Models for Gastrointestinal Bleeding Using Electronic Health Record Data.
Shung D, Laine L. Machine Learning Prognostic Models for Gastrointestinal Bleeding Using Electronic Health Record Data. The American Journal Of Gastroenterology 2020, 115: 1199-1200. PMID: 32530828, PMCID: PMC7415736, DOI: 10.14309/ajg.0000000000000720.Commentaries, Editorials and LettersMeSH KeywordsElectronic Health RecordsGastrointestinal HemorrhageHumansIntensive Care UnitsMachine LearningPrognosisRetrospective StudiesConceptsRisk assessment toolGastrointestinal bleedingIntensive care unit patientsClinical risk assessment toolCare unit patientsElectronic health record dataHealth record dataLevel of careAssessment toolElectronic health recordsAPACHE IVaHospital mortalityHospital courseUnit patientsPrognostic toolClinical practicePrognostic modelHealth recordsRecord dataBleedingExternal validationPatientsLack of generalizabilityMortalityCare
2017
Optimal Timing of Endoscopic Retrograde Cholangiopancreatography in Acute Cholangitis
Hou LA, Laine L, Motamedi N, Sahakian A, Lane C, Buxbaum J. Optimal Timing of Endoscopic Retrograde Cholangiopancreatography in Acute Cholangitis. Journal Of Clinical Gastroenterology 2017, 51: 534-538. PMID: 27875357, DOI: 10.1097/mcg.0000000000000763.Peer-Reviewed Original ResearchMeSH KeywordsAcute DiseaseAdolescentAdultAgedAged, 80 and overCholangiopancreatography, Endoscopic RetrogradeCholangitisFemaleHospitalizationHumansIntensive Care UnitsIntubation, IntratrachealLength of StayMaleMiddle AgedMultivariate AnalysisProspective StudiesTime FactorsTreatment OutcomeYoung AdultConceptsEndoscopic retrograde cholangiopancreatographyIntensive care unit admissionCare unit admissionLength of hospitalizationAcute cholangitisUnit admissionRetrograde cholangiopancreatographyFrequent intensive care unit admissionOptimal timingAdditional adverse outcomesCases of cholangitisProcedural adverse eventsDays of presentationVasopressor requirementVasopressor supportBiliary decompressionHospital stayVasopressor useSecondary outcomesAdverse eventsAntibiotic therapyPrimary outcomeEndotracheal intubationAdverse outcomesEmergency department