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 unitEarly 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
2020
ABC score: a new risk score that accurately predicts mortality in acute upper and lower gastrointestinal bleeding: an international multicentre study
Laursen SB, Oakland K, Laine L, Bieber V, Marmo R, Redondo-Cerezo E, Dalton HR, Ngu J, Schultz M, Soncini M, Gralnek I, Jairath V, Murray IA, Stanley AJ. ABC score: a new risk score that accurately predicts mortality in acute upper and lower gastrointestinal bleeding: an international multicentre study. Gut 2020, 70: 707-716. PMID: 32723845, DOI: 10.1136/gutjnl-2019-320002.Peer-Reviewed Original ResearchConceptsLower gastrointestinal bleedingABC scoreLower riskHigher ABC scoresGastrointestinal bleedingRisk scoreMortality rateHospital mortality rateInternational cohort studyManagement of patientsNew risk scoreInternational multicentre studyLower ABC scoreLGIB patientsUGIB patientsComorbidity scoreCohort studyMulticentre studyBlood testsValidation cohortDevelopment cohortLGIBUGIBHigh riskPatients
2019
The Shock Index is not accurate at predicting outcomes in patients with upper gastrointestinal bleeding
Saffouri E, Blackwell C, Laursen SB, Laine L, Dalton HR, Ngu J, Shultz M, Norton R, Stanley AJ. The Shock Index is not accurate at predicting outcomes in patients with upper gastrointestinal bleeding. Alimentary Pharmacology & Therapeutics 2019, 51: 253-260. PMID: 31642558, DOI: 10.1111/apt.15541.Peer-Reviewed Original ResearchMeSH KeywordsAdultAgedAged, 80 and overArea Under CurveBlood TransfusionCohort StudiesEndoscopy, GastrointestinalFemaleGastrointestinal HemorrhageHospitalizationHumansMaleMiddle AgedMortalityPredictive Value of TestsPrognosisProspective StudiesReproducibility of ResultsRisk AssessmentSeverity of Illness IndexShockSurvival AnalysisUpper Gastrointestinal TractYoung AdultConceptsUpper gastrointestinal bleedingGlasgow-Blatchford scoreShock indexGastrointestinal bleedingABC scoreMajor transfusionAcute upper gastrointestinal bleedingUK National Confidential EnquiryAdmission Rockall scoreSevere gastrointestinal bleedingMajor clinical endpointsPredictors of outcomeNational Confidential EnquiryRockall scoreBlatchford scoreEndoscopic therapyConsecutive patientsHospital admissionConfidential EnquiryProspective studyClinical endpointsPatient outcomesRisk scoreDeath reportsBleedingManagement of Nonvariceal Upper Gastrointestinal Bleeding: Guideline Recommendations From the International Consensus Group.
Barkun AN, Almadi M, Kuipers EJ, Laine L, Sung J, Tse F, Leontiadis GI, Abraham NS, Calvet X, Chan FKL, Douketis J, Enns R, Gralnek IM, Jairath V, Jensen D, Lau J, Lip GYH, Loffroy R, Maluf-Filho F, Meltzer AC, Reddy N, Saltzman JR, Marshall JK, Bardou M. Management of Nonvariceal Upper Gastrointestinal Bleeding: Guideline Recommendations From the International Consensus Group. Annals Of Internal Medicine 2019, 171: 805-822. PMID: 31634917, PMCID: PMC7233308, DOI: 10.7326/m19-1795.Peer-Reviewed Reviews, Practice Guidelines, Standards, and Consensus StatementsConceptsUpper gastrointestinal bleedingNonvariceal upper gastrointestinal bleedingHigh-risk stigmataPPI therapyGastrointestinal bleedingEndoscopic therapyCardiovascular diseaseHigh-dose proton pump inhibitor therapyEvidence profilesProton pump inhibitor therapyGlasgow-Blatchford scoreOral PPI therapyPrevious ulcer bleedingHigh-risk patientsHours of presentationManagement of patientsSuccessful endoscopic therapyStrength of recommendationsQuality of evidenceInternational consensus recommendationsInternational multidisciplinary groupInternational Consensus GroupElectronic bibliographic databasesTC-325Blatchford scoreValidation 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 analysisEndpointAUCMachine Learning to Predict Outcomes in Patients with Acute Gastrointestinal Bleeding: A Systematic Review
Shung D, Simonov M, Gentry M, Au B, Laine L. Machine Learning to Predict Outcomes in Patients with Acute Gastrointestinal Bleeding: A Systematic Review. Digestive Diseases And Sciences 2019, 64: 2078-2087. PMID: 31055722, DOI: 10.1007/s10620-019-05645-z.Peer-Reviewed Original ResearchConceptsClinical risk scoreUpper gastrointestinal bleedingGastrointestinal bleedingOutcomes of mortalityRisk scoreSystematic reviewOvert gastrointestinal bleedingAcute gastrointestinal bleedingPrognosis Studies toolRisk of biasFull-text studiesCurrent risk assessment toolsRisk assessment toolHospital stayHemostatic interventionRisk stratificationInclusion criteriaPrognostic performanceHigh riskIndependent reviewersConference abstractsLower riskMedian AUCPatientsMortality
2018
Severity and Outcomes of Upper Gastrointestinal Bleeding With Bloody Vs. Coffee-Grounds Hematemesis
Laine L, Laursen SB, Zakko L, Dalton HR, Ngu JH, Schultz M, Stanley AJ. Severity and Outcomes of Upper Gastrointestinal Bleeding With Bloody Vs. Coffee-Grounds Hematemesis. The American Journal Of Gastroenterology 2018, 113: 358. PMID: 29380820, DOI: 10.1038/ajg.2018.5.Peer-Reviewed Original ResearchMeSH KeywordsAgedBlood PreservationBlood TransfusionEsophageal and Gastric VaricesFemaleGastrointestinal HemorrhageHeart RateHematemesisHemoglobinsHemostasis, EndoscopicHumansMaleMelenaMiddle AgedMortalityProspective StudiesRecurrenceRisk AssessmentSeverity of Illness IndexUpper Gastrointestinal TractConceptsCoffee ground emesisBloody emesisHemostatic interventionUpper gastrointestinal bleedingComposite end pointRisk stratification scoresSystolic blood pressureTiming of endoscopyPredictors of outcomeBeats/minGastrointestinal bleedingConsecutive patientsPrimary outcomeSevere bleedingStratification scoresBlood pressureProspective studyHematemesisMelenaEmesisHigh mortalityEnd pointMortalityOutcomesSeverity
2017
Narrow-band imaging versus white light versus mapping biopsy for gastric intestinal metaplasia: a prospective blinded trial
Buxbaum JL, Hormozdi D, Dinis-Ribeiro M, Lane C, Dias-Silva D, Sahakian A, Jayaram P, Pimentel-Nunes P, Shue D, Pepper M, Cho D, Laine L. Narrow-band imaging versus white light versus mapping biopsy for gastric intestinal metaplasia: a prospective blinded trial. Gastrointestinal Endoscopy 2017, 86: 857-865. PMID: 28366441, DOI: 10.1016/j.gie.2017.03.1528.Peer-Reviewed Original ResearchConceptsGastric intestinal metaplasiaDetection of GIMNarrow-band imagingHD-WLMapping biopsyIntestinal metaplasiaHigh-definition white light endoscopyProportion of patientsProspective blinded trialGastric cancer precursorsGastric cancer riskWhite light endoscopyNBI examinationPrimary outcomeUpper endoscopyHigher proportionBlinded trialCancer precursorsBiopsy specimensMedian numberSecond endoscopistGastric cancerCancer riskBiopsyPatientsThe AGA’s Fecal Microbiota Transplantation National Registry: An Important Step Toward Understanding Risks and Benefits of Microbiota Therapeutics
Kelly CR, Kim AM, Laine L, Wu GD. The AGA’s Fecal Microbiota Transplantation National Registry: An Important Step Toward Understanding Risks and Benefits of Microbiota Therapeutics. Gastroenterology 2017, 152: 681-684. PMID: 28143773, DOI: 10.1053/j.gastro.2017.01.028.Peer-Reviewed Reviews, Practice Guidelines, Standards, and Consensus StatementsComparison of risk scoring systems for patients presenting with upper gastrointestinal bleeding: international multicentre prospective study
Stanley AJ, Laine L, Dalton HR, Ngu JH, Schultz M, Abazi R, Zakko L, Thornton S, Wilkinson K, Khor CJ, Murray IA, Laursen SB. Comparison of risk scoring systems for patients presenting with upper gastrointestinal bleeding: international multicentre prospective study. The BMJ 2017, 356: i6432. PMID: 28053181, PMCID: PMC5217768, DOI: 10.1136/bmj.i6432.Peer-Reviewed Original ResearchConceptsUpper gastrointestinal bleedingRockall scoreGastrointestinal bleedingInternational multicentre prospective studyAdmission Rockall scoreFull Rockall scoreGlasgow-Blatchford scoreHigh-risk patientsMulticentre prospective studyAssessment of patientsPNED scoreHospital stayBlatchford scoreDay mortalityConsecutive patientsRisk patientsComposite endpointEndoscopic treatmentProspective studyClinical endpointsClinical utilityLower riskPatientsLarge hospitalsBleeding
2016
Risk Assessment Tools for Gastrointestinal Bleeding
Laine L. Risk Assessment Tools for Gastrointestinal Bleeding. Clinical Gastroenterology And Hepatology 2016, 14: 1571-1573. PMID: 27521511, DOI: 10.1016/j.cgh.2016.08.003.Commentaries, Editorials and Letters
2012
Management of Patients With Ulcer Bleeding
Laine L, Jensen DM. Management of Patients With Ulcer Bleeding. The American Journal Of Gastroenterology 2012, 107: 345. PMID: 22310222, DOI: 10.1038/ajg.2011.480.Peer-Reviewed Reviews, Practice Guidelines, Standards, and Consensus StatementsMeSH KeywordsBlood TransfusionClinical Trials as TopicEndoscopy, GastrointestinalErythromycinEvidence-Based MedicineFluid TherapyGastric LavageHemostasis, EndoscopicHumansMeta-Analysis as TopicPatient SelectionPeptic Ulcer HemorrhagePrognosisProton Pump InhibitorsResuscitationRetreatmentRisk AssessmentSecondary PreventionConceptsNonsteroidal anti-inflammatory drugsAnti-ulcer therapyEndoscopic therapyHemodynamic statusCOX-2-selective nonsteroidal anti-inflammatory drugsNon-bleeding visible vesselOvert upper gastrointestinal bleedingDirect further managementSecond endoscopic treatmentStep-wise managementUpper gastrointestinal bleedingManagement of patientsProton pump inhibitorsAnti-inflammatory drugsIdiopathic ulcersPPI therapyActive bleedingGastrointestinal bleedingRecurrent bleedingUlcer bleedingEndoscopic featuresFirst endoscopyUpper endoscopyAdherent clotEndoscopic treatment
2011
Proton Pump Inhibitor Co-therapy With Clopidogrel: Is There GI Benefit or Cardiovascular Harm?
Laine L. Proton Pump Inhibitor Co-therapy With Clopidogrel: Is There GI Benefit or Cardiovascular Harm? Gastroenterology 2011, 140: 769-772.e2. PMID: 21266209, DOI: 10.1053/j.gastro.2011.01.024.Commentaries, Editorials and Letters
2006
Clinical trial design and patient demographics of the Multinational Etoricoxib and Diclofenac Arthritis Long-term (MEDAL) Study Program: Cardiovascular outcomes with etoricoxib versus diclofenac in patients with osteoarthritis and rheumatoid arthritis
Cannon CP, Curtis SP, Bolognese JA, Laine L, Committee F. Clinical trial design and patient demographics of the Multinational Etoricoxib and Diclofenac Arthritis Long-term (MEDAL) Study Program: Cardiovascular outcomes with etoricoxib versus diclofenac in patients with osteoarthritis and rheumatoid arthritis. American Heart Journal 2006, 152: 237-245. PMID: 16875903, DOI: 10.1016/j.ahj.2006.05.024.Peer-Reviewed Original ResearchMeSH KeywordsAnti-Inflammatory Agents, Non-SteroidalArthritis, RheumatoidAspirinCyclooxygenase InhibitorsDiclofenacDouble-Blind MethodEtoricoxibFemaleHumansMaleMiddle AgedMulticenter Studies as TopicOsteoarthritisPatient SelectionPyridinesRandomized Controlled Trials as TopicResearch DesignRisk AssessmentSulfonesTreatment OutcomeConceptsNonsteroidal anti-inflammatory drugsAnnual event rateThrombotic cardiovascular eventsRheumatoid arthritisCardiovascular eventsEvent ratesHazard ratioTraditional nonsteroidal anti-inflammatory drugsCyclooxygenase-2 selective inhibitorCOX-2 selective inhibitorsTraditional NSAID diclofenacDouble-blind trialCardiovascular event ratesTreatment of patientsAnti-inflammatory drugsClinical trial designSelective inhibitorLong-term useMultinational EtoricoxibCardiovascular outcomesCardiovascular riskPatient demographicsNoninferiority criteriaControl armCOX-2