Featured Publications
Predicting tumor recurrence on baseline MR imaging in patients with early-stage hepatocellular carcinoma using deep machine learning
Kucukkaya A, Zeevi T, Chai N, Raju R, Haider S, Elbanan M, Petukhova-Greenstein A, Lin M, Onofrey J, Nowak M, Cooper K, Thomas E, Santana J, Gebauer B, Mulligan D, Staib L, Batra R, Chapiro J. Predicting tumor recurrence on baseline MR imaging in patients with early-stage hepatocellular carcinoma using deep machine learning. Scientific Reports 2023, 13: 7579. PMID: 37165035, PMCID: PMC10172370, DOI: 10.1038/s41598-023-34439-7.Peer-Reviewed Original ResearchThe Dead Donor Rule, Reversibility and Donor Wishes
Batra R, Latham S. The Dead Donor Rule, Reversibility and Donor Wishes. The American Journal Of Bioethics 2023, 23: 31-32. PMID: 36681919, DOI: 10.1080/15265161.2022.2159581.Peer-Reviewed Original ResearchOutcomes of Simultaneous Liver‐Kidney Transplantation Using Kidneys of Deceased Donors With Acute Kidney Injury
Batra RK, Ariyamuthu VK, MacConmara MP, Gupta G, Gungor AB, Tanriover B. Outcomes of Simultaneous Liver‐Kidney Transplantation Using Kidneys of Deceased Donors With Acute Kidney Injury. Liver Transplantation 2022, 28: 983-997. PMID: 35006615, DOI: 10.1002/lt.26406.Peer-Reviewed Original ResearchConceptsSimultaneous liver-kidney transplantationDeath-censored graft failureAcute kidney injuryLiver-kidney transplantationDeceased donorsKidney injuryGraft failureSCr levelsMultivariable Cox proportional hazards modelsTerminal serum creatinine levelTransplantation Network registry dataCox proportional hazards modelShorter cold ischemia timeCause graft failureGood organ qualitySerum creatinine levelsCold ischemia timeInternational consensus guidelinesProportional hazards modelLiver transplantCreatinine levelsPrimary outcomeStudy cohortIschemia timeKidney diseaseThe use of nondirected donor organs in living donor liver transplantation: Perspectives and guidance
Fox AN, Liapakis A, Batra R, Bittermann T, Emamaullee J, Emre S, Genyk Y, Han H, Jackson W, Pomfret E, Raza M, Rodriguez‐Davalos M, Gold S, Samstein B, Shenoy A, Taner T, Roberts JP, Group T. The use of nondirected donor organs in living donor liver transplantation: Perspectives and guidance. Hepatology 2022, 75: 1579-1589. PMID: 34859474, DOI: 10.1002/hep.32260.Peer-Reviewed Original ResearchFrailty, an Imperfect ICU Rationing Criterion
Batra RK, Latham SR. Frailty, an Imperfect ICU Rationing Criterion. The American Journal Of Bioethics 2021, 21: 69-71. PMID: 34710005, DOI: 10.1080/15265161.2021.1980142.Peer-Reviewed Original ResearchNeural 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 unitMachine Learning Models for Prediction of Posttreatment Recurrence in Early-Stage Hepatocellular Carcinoma Using Pretreatment Clinical and MRI Features: A Proof-of-Concept Study.
Iseke S, Zeevi T, Kucukkaya AS, Raju R, Gross M, Haider SP, Petukhova-Greenstein A, Kuhn TN, Lin M, Nowak M, Cooper K, Thomas E, Weber MA, Madoff DC, Staib L, Batra R, Chapiro J. Machine Learning Models for Prediction of Posttreatment Recurrence in Early-Stage Hepatocellular Carcinoma Using Pretreatment Clinical and MRI Features: A Proof-of-Concept Study. American Journal Of Roentgenology 2022, 220: 245-255. PMID: 35975886, PMCID: PMC10015590, DOI: 10.2214/ajr.22.28077.Peer-Reviewed Original ResearchConceptsEarly-stage hepatocellular carcinomaLiver transplantHepatocellular carcinomaImaging featuresPosttreatment recurrenceOrgan allocationMean AUCLiver transplant eligibilityPretreatment clinical characteristicsPretreatment MRI examinationsKaplan-Meier analysisKaplan-Meier curvesClinical characteristicsImaging surveillanceTherapy allocationTransplant eligibilityUnderwent treatmentClinical parametersRetrospective studyUnpredictable complicationMRI dataConcept studyPoor survivalClinical impactPretreatment MRIClinical and Ethical Framework for Liver Retransplantation Using Living Donor Grafts: A Western Perspective
Batra RK, Mulligan DC. Clinical and Ethical Framework for Liver Retransplantation Using Living Donor Grafts: A Western Perspective. Liver Transplantation 2022, 28: 760-762. PMID: 34931433, DOI: 10.1002/lt.26395.Peer-Reviewed Original ResearchInactive status is an independent predictor of liver transplant waitlist mortality and is associated with a transplant centers median meld at transplant
Merola J, Gan G, Stewart D, Noreen S, Mulligan D, Batra R, Haakinson D, Deng Y, Kulkarni S. Inactive status is an independent predictor of liver transplant waitlist mortality and is associated with a transplant centers median meld at transplant. PLOS ONE 2021, 16: e0260000. PMID: 34793524, PMCID: PMC8601542, DOI: 10.1371/journal.pone.0260000.Peer-Reviewed Original ResearchConceptsDonor service areasWaitlist mortalityTransplant centersMedian MELDHigh mortalityStatus changesLiver transplant waitlist mortalityDeceased donor transplantsInactive statusTransplant probabilityInactive patientsMELD scoreDonor transplantsHazard ratioIndependent predictorsTransplant ratesCare coordinationMortalityPatientsTransplantLevel cohortsTertileSignificant differencesCohortMELDCurrent status: meeting the regulatory goals of your liver transplant program.
Batra RK, Mulligan DC. Current status: meeting the regulatory goals of your liver transplant program. Current Opinion In Organ Transplantation 2021, 26: 146-151. PMID: 33650996, DOI: 10.1097/mot.0000000000000869.Peer-Reviewed Original ResearchDeep learning–assisted differentiation of pathologically proven atypical and typical hepatocellular carcinoma (HCC) versus non-HCC on contrast-enhanced MRI of the liver
Oestmann PM, Wang CJ, Savic LJ, Hamm CA, Stark S, Schobert I, Gebauer B, Schlachter T, Lin M, Weinreb JC, Batra R, Mulligan D, Zhang X, Duncan JS, Chapiro J. Deep learning–assisted differentiation of pathologically proven atypical and typical hepatocellular carcinoma (HCC) versus non-HCC on contrast-enhanced MRI of the liver. European Radiology 2021, 31: 4981-4990. PMID: 33409782, PMCID: PMC8222094, DOI: 10.1007/s00330-020-07559-1.Peer-Reviewed Original ResearchConceptsNon-HCC lesionsHepatocellular carcinomaHCC lesionsAtypical imagingGrading systemLI-RADS criteriaAtypical imaging featuresPrimary liver cancerTypical hepatocellular carcinomaAtypical hepatocellular carcinomaContrast-enhanced MRISensitivity/specificityLiver transplantMethodsThis IRBRetrospective studyLiver malignanciesImaging featuresLiver cancerAtypical featuresConclusionThis studyLesionsMRIClinical applicationCarcinomaImage-based diagnosis
2024
Liver Transplant Costs and Activity After United Network for Organ Sharing Allocation Policy Changes
Ahmed O, Doyle M, Abouljoud M, Alonso D, Batra R, Brayman K, Brockmeier D, Cannon R, Chavin K, Delman A, DuBay D, Finn J, Fridell J, Friedman B, Fritze D, Ginos D, Goldberg D, Halff G, Karp S, Kohli V, Kumer S, Langnas A, Locke J, Maluf D, Meier R, Mejia A, Merani S, Mulligan D, Nibuhanupudy B, Patel M, Pelletier S, Shah S, Vagefi P, Vianna R, Zibari G, Shafer T, Orloff S. Liver Transplant Costs and Activity After United Network for Organ Sharing Allocation Policy Changes. JAMA Surgery 2024, 159: 939-947. PMID: 38809546, PMCID: PMC11137658, DOI: 10.1001/jamasurg.2024.1208.Peer-Reviewed Original Research
2020
Fibronodular hepatocellular carcinoma—a new variant of liver cancer: clinical, pathological and radiological correlation
Tefera J, Revzin M, Chapiro J, Savic L, Mulligan D, Batra R, Taddei T, Jain D, Zhang X. Fibronodular hepatocellular carcinoma—a new variant of liver cancer: clinical, pathological and radiological correlation. Journal Of Clinical Pathology 2020, 74: 31-35. PMID: 32430483, PMCID: PMC7674234, DOI: 10.1136/jclinpath-2020-206574.Peer-Reviewed Original ResearchConceptsAdvanced Barcelona Clinic Liver Cancer stageBarcelona Clinic Liver Cancer stageScirrhous HCCMultiple rounded nodulesNon-peripheral washoutLiver Cancer stageRadiological featuresClinical featuresRadiological correlationCarcinoma variantsCancer stageHCC casesHepatocellular carcinomaLiver cancerFibrotic liverConventional HCCHCCLower ratesHigh rateRounded nodulesProgressionDistinct patternsCarcinomaSpecific variantsLesions
2019
Absence of Evidence Is Not Evidence of Absence
Batra RK, Rubman S. Absence of Evidence Is Not Evidence of Absence. The American Journal Of Bioethics 2019, 19: 29-31. PMID: 31661403, DOI: 10.1080/15265161.2019.1665738.Peer-Reviewed Original ResearchHumansSocial Support
2015
Rapid Resolution of Donor‐Derived Glomerular Fibrin Thrombi After Deceased Donor Kidney Transplantation
Batra R, Heilman R, Smith M, Thomas L, Khamash H, Katariya N, Hewitt W, Singer A, Mathur A, Huskey J, Chakkera H, Moss A, Reddy K. Rapid Resolution of Donor‐Derived Glomerular Fibrin Thrombi After Deceased Donor Kidney Transplantation. American Journal Of Transplantation 2015, 16: 1015-1020. PMID: 26689853, DOI: 10.1111/ajt.13561.Peer-Reviewed Original ResearchConceptsGlomerular fibrin thrombiControl groupProtocol biopsiesDeceased donorsFibrin thrombiDeceased donor kidney transplantationDelayed graft functionDonor kidney transplantationSevere interstitial fibrosisGraft functionPostreperfusion biopsiesGraft survivalKidney transplantationSerum creatinineTubular atrophyStudy cohortGlomerular thrombiHistologic outcomesInterstitial fibrosisPreimplantation biopsyRapid resolutionBiopsyThrombusSafe practiceTransplantationPublic health safety and transplant with increased-risk organs: striking the balance.
Batra R, Katariya N, Hewitt W, Mathur A, Reddy S, Moss A, Segev D, Singer A. Public health safety and transplant with increased-risk organs: striking the balance. Experimental And Clinical Transplantation 2015, 13 Suppl 1: 9-12. PMID: 25894120.Peer-Reviewed Original ResearchConceptsOrgan procurement organizationsTransplant centersSolid organ transplantsPublic health servicesRisk donorsHealth servicesDisease controlSuch donorsInfectious transmissionProcurement organizationsPublic health safetyTransplantOrgansHealth safetyPatientsMembers of publicDonorsSignificant variabilityRecipientsCenterPreventionTransplanting Kidneys from Deceased Donors With Severe Acute Kidney Injury
Heilman R, Smith M, Kurian S, Huskey J, Batra R, Chakkera H, Katariya N, Khamash H, Moss A, Salomon D, Reddy K. Transplanting Kidneys from Deceased Donors With Severe Acute Kidney Injury. American Journal Of Transplantation 2015, 15: 2143-2151. PMID: 25808278, DOI: 10.1111/ajt.13260.Peer-Reviewed Original ResearchConceptsStandard criteria donorsAcute kidney injuryDeceased donorsAKI groupKidney injuryAcute Kidney Injury Network (AKIN) stagingSevere acute kidney injuryDeceased donor kidney transplantAcute renal replacement therapyDonor transplant recipientsTerminal serum creatinineRenal replacement therapyDonor kidney transplantsAKI donorsProtocol biopsiesGraft survivalTransplant recipientsKidney transplantSerum creatinineCriteria donorsReplacement therapyExcellent outcomesDonor cohortGene expression profilingKidney
2014
Kidney Transplant Program at the Mayo Clinic in Arizona.
Heilman RL, Khamash HA, Huskey JL, Chakkera HA, Batra RK, Katariya NN, Singer AL, Mathur AK, Moss AA, Reddy KS. Kidney Transplant Program at the Mayo Clinic in Arizona. Clinical Transplants 2014, 61-8. PMID: 26281128.Peer-Reviewed Original ResearchMeSH KeywordsAcute Kidney InjuryAdultAge FactorsAgedArizonaDonor SelectionFemaleGraft RejectionGraft SurvivalHumansImmunosuppressive AgentsKidney Failure, ChronicKidney TransplantationMaleMiddle AgedProgram EvaluationRegistriesRisk FactorsTime FactorsTissue and Organ ProcurementTissue DonorsTreatment OutcomeWaiting ListsYoung AdultConceptsDeceased donor kidney transplantDonor kidney transplantsKidney transplantGraft survivalAlemtuzumab inductionDonor transplantsMayo ClinicOlder kidney transplant recipientsHigh kidney donor profile indexKidney Donor Profile IndexSteroid avoidance immunosuppressionAcute kidney injuryDelayed graft functionKidney transplant recipientsKidney transplant programGlomerular filtration rateTime of transplantationDeceased donor transplantsPublic health servicesGraft functionSevere AKIKidney injurySteroid avoidanceTransplant recipientsBiopsy findings