2024
Deep-learning generated B-line score mirrors clinical progression of disease for patients with heart failure
Baloescu C, Chen A, Varasteh A, Hall J, Toporek G, Patil S, McNamara R, Raju B, Moore C. Deep-learning generated B-line score mirrors clinical progression of disease for patients with heart failure. The Ultrasound Journal 2024, 16: 42. PMID: 39283362, PMCID: PMC11405569, DOI: 10.1186/s13089-024-00391-4.Peer-Reviewed Original ResearchB-line scoreComposite congestion scoreCongestion scoreHeart failureSeverity scoreB-linesCongestive heart failurePatients suspectedPulmonary congestionLung zonesClinical progressionRothman IndexClinical assessmentDisease severityPatientsPresence of artifactsEvaluate changesLungDetect fluidUltrasound experienceMixed effects modelsScoresDiseaseInterstitial spaceUltrasound system
2023
Advance care planning and hospital outcomes in solid tumour oncology inpatients
Qeska D, Chow R, Balboni T, Kapo J, Zimmermann C, Prsic E. Advance care planning and hospital outcomes in solid tumour oncology inpatients. BMJ Supportive & Palliative Care 2023, 14: e541-e544. PMID: 37500567, DOI: 10.1136/spcare-2023-004396.Peer-Reviewed Original ResearchAdvance care planningHospital mortalityED visitsEmergency departmentCare planningYale-New Haven HospitalObservational cohort analysisIntensive care unitMultivariable logistic regressionSolid tumor malignanciesNew Haven HospitalDecreased readmissionsHospital outcomesOncology inpatientsPatient characteristicsACP documentationHospital readmissionLonger LOSCare unitOncology careRothman IndexCohort analysisPatientsTumor malignancyInpatient teamsAssociation of palliative care and hospital outcomes among solid tumour oncology inpatients
Im J, Chow R, Novosel M, Xiang J, Strait M, Rao V, Kapo J, Zimmermann C, Prsic E. Association of palliative care and hospital outcomes among solid tumour oncology inpatients. BMJ Supportive & Palliative Care 2023, 14: e1349-e1353. PMID: 36849221, DOI: 10.1136/spcare-2023-004207.Peer-Reviewed Original ResearchPalliative care consultationInpatient palliative care consultationCare consultationsHospital deathHospital outcomesICU admissionPalliative careIntensive care unit useRetrospective chart reviewSite of malignancyEmergency department visitsHospital outcome dataMultivariable logistic regressionLength of stayOncology admissionsChart reviewED visitsOncology inpatientsDepartment visitsMultivariable analysisICU levelMedical recordsPatient presentationRothman IndexHigher oddsFactors Associated With Inpatient Hospice Utilization Among Hospitalized Decedents With Comfort Measures Only Status
Kozhevnikov D, Loho H, Prestia B. Factors Associated With Inpatient Hospice Utilization Among Hospitalized Decedents With Comfort Measures Only Status. Journal Of Palliative Medicine 2023, 26: 1048-1055. PMID: 36716262, DOI: 10.1089/jpm.2022.0460.Peer-Reviewed Original ResearchConceptsLength of stayCMO patientsRothman IndexTerminal admissionComfort measuresTotal LOSMultivariable logistic regression analysisRoutine hospice careTertiary care hospitalPrimary diagnosis codeLogistic regression analysisPrimary medical servicesTime of deathElectronic health recordsClinician typeInpatient deathCare hospitalMultivariable analysisHospice utilizationDiagnosis codesHospice useHospice careCMO orderPatientsSerious illness
2021
Electronic health record risk score provides earlier prognostication of clinical outcomes in patients admitted to the cardiac intensive care unit
Kunitomo Y, Thomas A, Chouairi F, Canavan ME, Kochar A, Khera R, Katz JN, Murphy C, Jentzer J, Ahmad T, Desai NR, Brennan J, Miller PE. Electronic health record risk score provides earlier prognostication of clinical outcomes in patients admitted to the cardiac intensive care unit. American Heart Journal 2021, 238: 85-88. PMID: 33891906, DOI: 10.1016/j.ahj.2021.04.004.Peer-Reviewed Original ResearchConceptsCardiac intensive care unitIntensive care unitRothman IndexCare unitRisk scoreModern cardiac intensive care unitSequential Organ Failure Assessment scoreOrgan Failure Assessment scoreElectronic health recordsCICU mortalityCICU patientsSOFA scoreCICU admissionClinical outcomesEarly prognosticationObservational studyPrognostic abilityAssessment scoresOutcome predictionHealth recordsGood calibrationSuperior discriminationPatientsAdmissionScores
2020
Admission Rothman Index, Aspirin, and Intermediate Dose Anticoagulation Effects on Outcomes in COVID-19: A Multi-Site Propensity Matched Analysis
Goshua G, Liu Y, Meizlish M, Fine R, Amin K, Chang E, Liu Y, McManus D, Petrosan A, Chaar C, Chun H, Defilippo N, Neuberg D, Owusu K, Lee A. Admission Rothman Index, Aspirin, and Intermediate Dose Anticoagulation Effects on Outcomes in COVID-19: A Multi-Site Propensity Matched Analysis. Blood 2020, 136: 23-24. PMCID: PMC8330288, DOI: 10.1182/blood-2020-143349.Peer-Reviewed Original ResearchIntermediate-dose anticoagulationAnti-platelet therapyAnticoagulation cohortOverall cohortMultivariable regression modelingRothman IndexDose anticoagulationHospital deathD-dimerPropensity scoreHospitalized patientsMechanical ventilationClinical trialsCOVID-19Prophylactic-dose anticoagulationRisk-stratified algorithmUse of aspirinChronic kidney diseasePropensity-matched analysisEfficacy of aspirinSeverity of illnessAnti-platelet agentsMulti-site cohortImpact of aspirinSmall vessel thrombosis
2018
The Rothman Index Is Associated With Postdischarge Adverse Events After Hip Fracture Surgery in Geriatric Patients
McLynn RP, Ottesen TD, Ondeck NT, Cui JJ, Rubin LE, Grauer JN. The Rothman Index Is Associated With Postdischarge Adverse Events After Hip Fracture Surgery in Geriatric Patients. Clinical Orthopaedics And Related Research® 2018, 476: 997-1006. PMID: 29419631, PMCID: PMC5916609, DOI: 10.1007/s11999.0000000000000186.Peer-Reviewed Original ResearchConceptsRothman Index scoresPostdischarge adverse eventsHip fracture surgeryPostdischarge adverse outcomesAdverse eventsASA classRothman IndexHip fractureFracture surgeryIndex scoreGeriatric patientsAdverse outcomesMedical CenterOverall patient statusHip fracture careRoutine laboratory valuesMeasures of comorbidityRisk of complicationsBody mass indexAge 65 yearsPlan of careVulnerable patient populationCondition of patientsAcademic medical centerElectronic medical records
2017
The Rothman Index as a predictor of postdischarge adverse events after elective spine surgery
McLynn RP, Ondeck NT, Cui JJ, Swanson DR, Shultz BN, Bovonratwet P, Grauer JN. The Rothman Index as a predictor of postdischarge adverse events after elective spine surgery. The Spine Journal 2017, 18: 1149-1156. PMID: 29155251, DOI: 10.1016/j.spinee.2017.11.008.Peer-Reviewed Original ResearchConceptsElective spine surgeryPostdischarge adverse eventsMinor adverse eventsMajor adverse eventsAdverse eventsRothman IndexSpine surgeryMedical CenterOverall patient conditionRothman Index scoresHigh-risk patientsRate of readmissionRetrospective cohort studyLarge academic medical centerPostoperative day 30Body mass indexLength of stayAcademic medical centerPresent studyElectronic medical recordsLater scoresAnesthesiologists classHospital lengthPerioperative outcomesCohort studyRothman Index variability predicts clinical deterioration and rapid response activation
Wengerter BC, Pei KY, Asuzu D, Davis KA. Rothman Index variability predicts clinical deterioration and rapid response activation. The American Journal Of Surgery 2017, 215: 37-41. PMID: 28818297, DOI: 10.1016/j.amjsurg.2017.07.031.Peer-Reviewed Original ResearchConceptsSurgical patientsRothman IndexRRT activationRapid response team activationRapid response activationInpatient acuityHospital mortalityClinical deteriorationPrimary outcomeSecondary outcomesTeam activationPatientsRI variabilityControl casesResponse activationActivationOutcomesAcuityGlobal measuresMortalityRRTDevelopment and validation of a continuously age-adjusted measure of patient condition for hospitalized children using the electronic medical record
Rothman MJ, Tepas JJ, Nowalk AJ, Levin JE, Rimar JM, Marchetti A, Hsiao AL. Development and validation of a continuously age-adjusted measure of patient condition for hospitalized children using the electronic medical record. Journal Of Biomedical Informatics 2017, 66: 180-193. PMID: 28057565, DOI: 10.1016/j.jbi.2016.12.013.Peer-Reviewed Original ResearchConceptsUnplanned ICU transfersPediatric Rothman IndexElectronic medical recordsRothman IndexICU transferPediatric RiskClinical statusPediatric hospitalHospitalized childrenMedical recordsPRI scoresPatient's conditionMortality dataPost-discharge mortalityPatient's clinical statusMortality odds ratioHospital mortalityInpatient visitsPatient ageAdult mortality dataClinical variablesOdds ratioClinical dataPhysiologic deteriorationPatient acuity
2015
MORTALITY REDUCTION ASSOCIATED WITH PROACTIVE USE OF EMR-BASED ACUITY SCORE BY AN RN TEAM AT AN URBAN HOSPITAL
Rothman M, Rimar J, Coonan S, Allegretto S, Balcezak T. MORTALITY REDUCTION ASSOCIATED WITH PROACTIVE USE OF EMR-BASED ACUITY SCORE BY AN RN TEAM AT AN URBAN HOSPITAL. BMJ Quality & Safety 2015, 24: 734. DOI: 10.1136/bmjqs-2015-ihiabstracts.21.Peer-Reviewed Original ResearchIntervention periodRothman IndexPatient's conditionAdult medical-surgical patientsHigh-risk patientsMedical-surgical patientsRisk-adjusted mortalityRisk of mortalityQuality of careElectronic medical recordsHigh-quality careClinical deteriorationRisk patientsNursing assessmentPatient populationMedical recordsMortality reductionPercent of dischargesUrban hospitalMortality rateAcuity scoresPatientsEarly identificationPatient volumeQuality care
2014
Using the Rothman Index to Predict Discharge and Readmission Rates in an Inpatient Hematology Unit
Kim R, Yao X, Longley P, Rimar J, Kournioti C, Lee A. Using the Rothman Index to Predict Discharge and Readmission Rates in an Inpatient Hematology Unit. Blood 2014, 124: 1302. DOI: 10.1182/blood.v124.21.1302.1302.Peer-Reviewed Original ResearchRothman IndexHematologic malignanciesReadmission ratesMedical recordsRA ratesYale Cancer CenterHematology-oncology patientsInpatient oncology unitCommon hematologic malignancyNon-Hodgkin lymphomaAcute myeloid leukemiaHealth care providersHealth care costsElectronic medical recordsDischarge dispositionHospitalized patientsMedian ageHematology unitHM patientsNursing assessmentOncology unitCancer CenterMultiple myelomaMyeloid leukemiaIndividual patientsCharacterization of aggressive interventions within 30 days of death in lung cancer patients at Smilow Cancer Hospital (SCH).
Zhang B, Adelson K, Velji S, Rimar J, Longley P, Keane B, Chiang A, Lilenbaum R. Characterization of aggressive interventions within 30 days of death in lung cancer patients at Smilow Cancer Hospital (SCH). Journal Of Clinical Oncology 2014, 32: 20-20. DOI: 10.1200/jco.2014.32.30_suppl.20.Peer-Reviewed Original ResearchSmilow Cancer HospitalLung cancer patientsAggressive interventionRothman IndexDay of deathCancer patientsAdvanced cancerClinical conditionsAdvanced lung cancer patientsAdvanced lung cancerPalliative care consultationRetrospective chart reviewPatient's clinical conditionICU stayIOM guidelinesAggressive careChart reviewCancer HospitalCare consultationsCancer populationLung cancerFiscal year 2012Study populationEMR toolStage IIIUsing the Rothman index to predict early unplanned surgical intensive care unit readmissions
Piper GL, Kaplan LJ, Maung AA, Lui FY, Barre K, Davis KA. Using the Rothman index to predict early unplanned surgical intensive care unit readmissions. Journal Of Trauma And Acute Care Surgery 2014, 77: 78-82. PMID: 24977759, DOI: 10.1097/ta.0000000000000265.Peer-Reviewed Original ResearchConceptsIntensive care unit readmissionRothman IndexSurgical floorRI scoresPotential quality metricElectronic medical recordsHours of transferSICU admissionSICU lengthReadmission groupSICU patientsMedical recordsPatient's conditionReadmissionPrognostic studiesPatientsControl groupLevel IIISICUAdmissionScoresDemographicsHoursGroupNumerical score
2013
Automated analysis of electronic medical record data reflects the pathophysiology of operative complications
Tepas JJ, Rimar JM, Hsiao AL, Nussbaum MS. Automated analysis of electronic medical record data reflects the pathophysiology of operative complications. Surgery 2013, 154: 918-926. PMID: 24074431, DOI: 10.1016/j.surg.2013.07.014.Peer-Reviewed Original ResearchConceptsElectronic medical recordsNumber of complicationsRothman IndexPostoperative complicationsColorectal proceduresPhysiologic dysfunctionDischarge International ClassificationElectronic medical record dataOrgan system dysfunctionPresence of sepsisIncidence of complicationsDirect costsMedical record dataDuration of stayRepeated-measures analysisPerioperative complicationsPostoperative sepsisOperative complicationsOperative patientsOrgan dysfunctionOverall incidencePreoperative counselingPhysiologic assessmentNursing observationsPatient cohortRothman index as a predictor for type of discharge and readmission rates in a cancer hospital: The Yale experience.
Morgensztern D, Xia B, Kournioti C, Hofstatter E, Raucci M, Keyes A, Morrione A, Blasiak E, Rosenberg E, Rimar J, Rothman M, Lilenbaum R. Rothman index as a predictor for type of discharge and readmission rates in a cancer hospital: The Yale experience. Journal Of Clinical Oncology 2013, 31: 6635-6635. DOI: 10.1200/jco.2013.31.15_suppl.6635.Peer-Reviewed Original ResearchTime of dischargeRothman IndexElectronic medical recordsCancer HospitalRA ratesEvaluation of inpatientsSmilow Cancer HospitalDC typesPredictors of dischargeRate of readmissionHospital electronic medical recordsLength of stayHealth care providersRI meanOncology inpatientsReadmission ratesMedian ageProspective studyNursing assessmentCommon tumorsElective admissionsMedical recordsDisposition planningCare providersReadmission
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