Featured Publications
A Comparison of Two Statewide Datasets to Understand Population Prevalence of Substance Use in Pregnancy: Findings and Considerations for Policy & Research
Sieger M, Morin J, Budris L, Sienna M, Ostfeld-Johns S, Hart L, Morosky C. A Comparison of Two Statewide Datasets to Understand Population Prevalence of Substance Use in Pregnancy: Findings and Considerations for Policy & Research. Maternal And Child Health Journal 2024, 28: 1121-1131. PMID: 38539033, PMCID: PMC11060901, DOI: 10.1007/s10995-024-03914-6.Peer-Reviewed Original ResearchConceptsSubstance use disordersSubstance useBlack mothersPregnancy-related deathsFederal Child Abuse PreventionMental health conditionsPublic health aimSelf-reported drug useMaternal self-reportDrug usePrevalence of substance useChild protective services involvementProtective services involvementMothers self-reportedChild abuse preventionSelf-reported dataStatistically similar ratesPrenatal substance exposureSelf-report ratingsHealth aimRate of whitesHispanic mothersHealth conditionsHospital personnelSelf-reportClinical characteristics and outcomes of patients with post-stroke epilepsy: protocol for an individual patient data meta-analysis from the International Post-stroke Epilepsy Research Repository (IPSERR)
Mishra N, Kwan P, Tanaka T, Sunnerhagen K, Dawson J, Zhao Y, Misra S, Wang S, Sharma V, Mazumder R, Funaro M, Ihara M, Nicolo J, Liebeskind D, Yasuda C, Cendes F, Quinn T, Ge Z, Scalzo F, Zelano J, Kasner S, Consortium I, Mishra N, Kwan P, Friedman A, Engel J. Clinical characteristics and outcomes of patients with post-stroke epilepsy: protocol for an individual patient data meta-analysis from the International Post-stroke Epilepsy Research Repository (IPSERR). BMJ Open 2023, 13: e078684. PMID: 37968000, PMCID: PMC10660442, DOI: 10.1136/bmjopen-2023-078684.Peer-Reviewed Original ResearchConceptsPost-stroke epilepsyPost-stroke seizuresIndividual patient dataClinical characteristicsLate post-stroke seizuresPatient dataOutcomes of patientsFuture clinical trialsPatient outcome measuresComprehensive search strategyAcute strokePeer-reviewed journalsStroke patientsPrognostic valueStroke mortalityBias assessmentClinical trialsObservational studyOutcome measuresLanguage of publicationEpileptic seizuresPatientsEthics approvalStudy authorsIPD-MAA randomized clinical trial assessing the effect of automated medication-targeted alerts on acute kidney injury outcomes
Wilson F, Yamamoto Y, Martin M, Coronel-Moreno C, Li F, Cheng C, Aklilu A, Ghazi L, Greenberg J, Latham S, Melchinger H, Mansour S, Moledina D, Parikh C, Partridge C, Testani J, Ugwuowo U. A randomized clinical trial assessing the effect of automated medication-targeted alerts on acute kidney injury outcomes. Nature Communications 2023, 14: 2826. PMID: 37198160, PMCID: PMC10192367, DOI: 10.1038/s41467-023-38532-3.Peer-Reviewed Original ResearchConceptsAcute kidney injuryUsual care groupKidney injuryCare groupAcute Kidney Injury OutcomesAlert groupNon-steroidal anti-inflammatory drugsComposite of progressionHours of randomizationMedications of interestAldosterone system inhibitorsClasses of medicationsProton pump inhibitorsRandomized clinical trialsAnti-inflammatory drugsClinical decision support systemNephrotoxic medicationsHospitalized adultsDiscontinuation ratesCertain medicationsPrimary outcomeSubstantial morbiditySystem inhibitorsPump inhibitorsParallel groupTrends in Racial and Ethnic Disparities in Barriers to Timely Medical Care Among Adults in the US, 1999 to 2018
Caraballo C, Ndumele CD, Roy B, Lu Y, Riley C, Herrin J, Krumholz HM. Trends in Racial and Ethnic Disparities in Barriers to Timely Medical Care Among Adults in the US, 1999 to 2018. JAMA Health Forum 2022, 3: e223856. PMID: 36306118, PMCID: PMC9617175, DOI: 10.1001/jamahealthforum.2022.3856.Peer-Reviewed Original ResearchConceptsTimely medical careSerial cross-sectional studyNational Health Interview SurveyCross-sectional studyHealth Interview SurveyMedical careLack of transportationEthnic disparitiesHispanics/LatinosWhite individualsEthnicity groupsInterview SurveyCost of careSelf-reported raceStudy cohortClinic hoursMAIN OUTCOMEMedical officesCarePrevalenceLatino individualsBlack individualsSignificant differencesSignificant increasePopulation groupsLongitudinal Trajectories of Multiple Nicotine Product Use Among Youths in the Population Assessment of Tobacco and Health Study
Simon P, Jiang Y, Buta E, Sartor CE, Krishnan-Sarin S, Gueorguieva R. Longitudinal Trajectories of Multiple Nicotine Product Use Among Youths in the Population Assessment of Tobacco and Health Study. JAMA Network Open 2022, 5: e223549. PMID: 35319763, PMCID: PMC8943628, DOI: 10.1001/jamanetworkopen.2022.3549.Peer-Reviewed Original ResearchConceptsNicotine product useCigar useTobacco usersTobacco useHealth StudyCigarette useProduct useWave 1Significant public health concernLongitudinal trajectoriesPublic health concernNon-Hispanic whitesTobacco product useLogistic regression modelsTobacco use behaviorsComplex survey designMultinomial logistic regression modelsDays of useSocioecological factorsMAIN OUTCOMESmokeless tobaccoLower oddsNicotine productsLatent class growth analysisSociodemographic factorsPerspectives About Emergency Department Care Encounters Among Adults With Opioid Use Disorder
Hawk K, McCormack R, Edelman EJ, Coupet E, Toledo N, Gauthier P, Rotrosen J, Chawarski M, Martel S, Owens P, Pantalon MV, O’Connor P, Whiteside LK, Cowan E, Richardson LD, Lyons MS, Rothman R, Marsch L, Fiellin DA, D’Onofrio G. Perspectives About Emergency Department Care Encounters Among Adults With Opioid Use Disorder. JAMA Network Open 2022, 5: e2144955. PMID: 35076700, PMCID: PMC8790663, DOI: 10.1001/jamanetworkopen.2021.44955.Peer-Reviewed Original ResearchConceptsUntreated opioid use disorderOpioid use disorderEmergency departmentED visitsOUD treatmentUse disordersPublic safety-net hospitalRural critical access hospitalsEmergency department careSafety-net hospitalUrban academic centerLife-saving treatmentCritical access hospitalsImplementation science frameworkPatient factorsTreatment initiationED careUS patientsStaff trainingDemand treatmentPatient readinessNet hospitalPatient's perspectivePromoting ActionImproved careDynamic structural equation modeling of the relationship between alcohol habit and drinking variability
DeMartini KS, Gueorguieva R, Taylor JR, Krishnan-Sarin S, Pearlson G, Krystal JH, O'Malley SS. Dynamic structural equation modeling of the relationship between alcohol habit and drinking variability. Drug And Alcohol Dependence 2021, 233: 109202. PMID: 35151022, PMCID: PMC10046111, DOI: 10.1016/j.drugalcdep.2021.109202.Peer-Reviewed Original ResearchBarriers and Facilitators to Clinician Readiness to Provide Emergency Department–Initiated Buprenorphine
Hawk KF, D’Onofrio G, Chawarski MC, O’Connor P, Cowan E, Lyons MS, Richardson L, Rothman RE, Whiteside LK, Owens PH, Martel SH, Coupet E, Pantalon M, Curry L, Fiellin DA, Edelman EJ. Barriers and Facilitators to Clinician Readiness to Provide Emergency Department–Initiated Buprenorphine. JAMA Network Open 2020, 3: e204561. PMID: 32391893, PMCID: PMC7215257, DOI: 10.1001/jamanetworkopen.2020.4561.Peer-Reviewed Original ResearchConceptsOpioid use disorderEmergency departmentAdvanced practice cliniciansED cliniciansClinicians' readinessOngoing treatmentTreatment of OUDEmergency Department-Initiated BuprenorphineUntreated opioid use disorderDrug Addiction Treatment ActDecrease opioid useVisual analog scaleHealth Services frameworkAcademic emergency departmentMixed-methods formative evaluationQuality of careSubset of participantsBuprenorphine initiationClinician typeOpioid useED patientsAnalog scaleOngoing careDepartmental protocolPractice cliniciansGenome-wide association study of alcohol consumption and use disorder in 274,424 individuals from multiple populations
Kranzler HR, Zhou H, Kember RL, Vickers Smith R, Justice AC, Damrauer S, Tsao PS, Klarin D, Baras A, Reid J, Overton J, Rader DJ, Cheng Z, Tate JP, Becker WC, Concato J, Xu K, Polimanti R, Zhao H, Gelernter J. Genome-wide association study of alcohol consumption and use disorder in 274,424 individuals from multiple populations. Nature Communications 2019, 10: 1499. PMID: 30940813, PMCID: PMC6445072, DOI: 10.1038/s41467-019-09480-8.Peer-Reviewed Original ResearchConceptsGenome-wide association studiesAssociation studiesMillion Veteran Program sampleGenetic correlationsWide significant lociSignificant genetic correlationsPolygenic risk scoresCell type groupSignificant lociHeritable traitEnrichment analysisTraitsMultiple populationsLociPhenotypeProgram samplesSomatic POLE mutations cause an ultramutated giant cell high-grade glioma subtype with better prognosis
Erson-Omay EZ, Çağlayan AO, Schultz N, Weinhold N, Omay SB, Özduman K, Köksal Y, Li J, Serin Harmancı A, Clark V, Carrión-Grant G, Baranoski J, Çağlar C, Barak T, Coşkun S, Baran B, Köse D, Sun J, Bakırcıoğlu M, Moliterno Günel J, Pamir MN, Mishra-Gorur K, Bilguvar K, Yasuno K, Vortmeyer A, Huttner AJ, Sander C, Günel M. Somatic POLE mutations cause an ultramutated giant cell high-grade glioma subtype with better prognosis. Neuro-Oncology 2015, 17: 1356-1364. PMID: 25740784, PMCID: PMC4578578, DOI: 10.1093/neuonc/nov027.Peer-Reviewed Original ResearchConceptsHigh-grade gliomasSomatic POLE mutationsPOLE mutationsMalignant high-grade gliomasLonger progression-free survivalProgression-free survivalSomatic mutationsOverall survivalPediatric patientsBetter prognosisClinical featuresImproved prognosisClinical behaviorImmune cellsBizarre cellsAggressive formGlioblastoma multiformeDisease pathophysiologyMolecular subgroupsHomozygous germline mutationGermline mutationsPrognosisGlioma subtypesComprehensive genomic analysisDistinct subgroupsGenomic Analysis of Non-NF2 Meningiomas Reveals Mutations in TRAF7, KLF4, AKT1, and SMO
Clark VE, Erson-Omay EZ, Serin A, Yin J, Cotney J, Özduman K, Avşar T, Li J, Murray PB, Henegariu O, Yilmaz S, Günel JM, Carrión-Grant G, Yılmaz B, Grady C, Tanrıkulu B, Bakırcıoğlu M, Kaymakçalan H, Caglayan AO, Sencar L, Ceyhun E, Atik AF, Bayri Y, Bai H, Kolb LE, Hebert RM, Omay SB, Mishra-Gorur K, Choi M, Overton JD, Holland EC, Mane S, State MW, Bilgüvar K, Baehring JM, Gutin PH, Piepmeier JM, Vortmeyer A, Brennan CW, Pamir MN, Kılıç T, Lifton RP, Noonan JP, Yasuno K, Günel M. Genomic Analysis of Non-NF2 Meningiomas Reveals Mutations in TRAF7, KLF4, AKT1, and SMO. Science 2013, 339: 1077-1080. PMID: 23348505, PMCID: PMC4808587, DOI: 10.1126/science.1233009.Peer-Reviewed Original ResearchMeSH KeywordsAdultAgedAged, 80 and overBrain NeoplasmsChromosomes, Human, Pair 22DNA Mutational AnalysisFemaleGenes, Neurofibromatosis 2Genomic InstabilityGenomicsHumansKruppel-Like Factor 4Kruppel-Like Transcription FactorsMaleMeningeal NeoplasmsMeningiomaMiddle AgedMutationNeoplasm GradingProto-Oncogene Proteins c-aktReceptors, G-Protein-CoupledSmoothened ReceptorTumor Necrosis Factor Receptor-Associated Peptides and ProteinsThe bidirectional relationship between pain and tobacco use: Insights from the longitudinal Population Assessment of Tobacco and Health (PATH) study
Costa G, Nunes J, Suh R, Sofuoglu M, Aquino J. The bidirectional relationship between pain and tobacco use: Insights from the longitudinal Population Assessment of Tobacco and Health (PATH) study. Drug And Alcohol Dependence 2025, 268: 112552. PMID: 39848133, PMCID: PMC11832315, DOI: 10.1016/j.drugalcdep.2025.112552.Peer-Reviewed Original ResearchConceptsDaily smokingDaily cigarette smokingChronic painDevelopment of painCigarette smokingTobacco smokePopulation Assessment of Tobacco and Health StudyBaseline painAlternative tobacco product usePersistent painTobacco product useDevelopment of persistent painYears of longitudinal dataHealth StudyTobacco useNo/low painPreventable causeSmoking outcomesBidirectional relationshipSurvival analysisSmokingPopulation AssessmentAge categoriesIncreased riskSurvey populationThe human and non-human primate developmental GTEx projects
Bell T, Blanchard T, Hernandez R, Linn R, Taylor D, VonDran M, Ahooyi T, Beitra D, Bernieh A, Delaney M, Faith M, Fattahi E, Footer D, Gilbert M, Guambaña S, Gulino S, Hanson J, Hattrell E, Heinemann C, Kreeb J, Leino D, Mcdevitt L, Palmieri A, Pfeiffer M, Pryhuber G, Rossi C, Rasool I, Roberts R, Salehi A, Savannah E, Stachowicz K, Stokes D, Suplee L, Van Hoose P, Wilkins B, Williams-Taylor S, Zhang S, Ardlie K, Getz G, Lappalainen T, Montgomery S, Aguet F, Anderson L, Bernstein B, Choudhary A, Domenech L, Gaskell E, Johnson M, Liu Q, Marderstein A, Nedzel J, Okonda J, Padhi E, Rosano M, Russell A, Walker B, Sestan N, Gerstein M, Milosavljevic A, Borsari B, Cho H, Clarke D, Deveau A, Galeev T, Gobeske K, Hameed I, Huttner A, Jensen M, Jiang Y, Li J, Liu J, Liu Y, Ma J, Mane S, Meng R, Nadkarni A, Ni P, Park S, Petrosyan V, Pochareddy S, Salamon I, Xia Y, Yates C, Zhang M, Zhao H, Conrad D, Feng G, Brady F, Boucher M, Carbone L, Castro J, del Rosario R, Held M, Hennebold J, Lacey A, Lewis A, Lima A, Mahyari E, Moore S, Okhovat M, Roberts V, de Castro S, Wessel B, Zaniewski H, Zhang Q, Arguello A, Baroch J, Dayal J, Felsenfeld A, Ilekis J, Jose S, Lockhart N, Miller D, Minear M, Parisi M, Price A, Ramos E, Zou S. The human and non-human primate developmental GTEx projects. Nature 2025, 637: 557-564. PMID: 39815096, DOI: 10.1038/s41586-024-08244-9.Peer-Reviewed Original ResearchConceptsChromatin accessibility dataFunctional genomic studiesWhole-genome sequencingEffects of genetic variationSpatial gene expression profilesNon-human primatesGenotype-Tissue ExpressionGene expression profilesGenomic studiesGene regulationGenetic dataGenetic variationGenomic researchDonor diversityCommunity engagementHuman evolutionEarly developmental defectsGene expressionCell statesDevelopmental programmeHuman diseasesExpression profilesAdult tissuesDevelopmental defectsSingle-cellThe Association Between Cost-Related Insulin Rationing and Health Care Utilization in U.S. Adults With Diabetes.
Borden C, Bakkila B, Nally L, Lipska K. The Association Between Cost-Related Insulin Rationing and Health Care Utilization in U.S. Adults With Diabetes. Diabetes Care 2025, 48: 400-404. PMID: 39746142, PMCID: PMC11870294, DOI: 10.2337/dc24-2117.Peer-Reviewed Original ResearchConceptsHealth care utilizationUrgent care visitsCare utilizationCare visitsU.S. adultsAssociated with health care utilizationNational Health Interview Survey respondentsAssociated with higher health care utilizationEmergency departmentHigher health care utilizationOdds of ED visitsRationing of health careCross-sectional studyNegative binomial regression modelsZero-inflated negative binomial regression modelsBinomial regression modelsHealth careED visitsSurvey weightsAge-stratifiedLogistic regressionSurvey respondentsVisitsRegression modelsAdultsUS Tobacco 21 Policies and Potential Mortality Reductions by State
Tam J, Crippen A, Friedman A, Jeon J, Colston D, Fleischer N, Vander Woude C, Boelter M, Holford T, Levy D, Meza R. US Tobacco 21 Policies and Potential Mortality Reductions by State. JAMA Health Forum 2024, 5: e244445. PMID: 39705045, PMCID: PMC11662258, DOI: 10.1001/jamahealthforum.2024.4445.Peer-Reviewed Original ResearchConceptsPotential mortality reductionT21 policiesMortality reductionPremature deathEstimate smoking-attributable deathsLife yearsT21 lawsSmoking-attributable deathsTobacco-21 policiesPremature mortality reductionQuasi-experimental studyPolicy coverageState-specific dataDistrict of ColumbiaMortality rateTobacco 21Smoking cessationMain OutcomesSmoking initiationBirth cohortTobacco productsSmoking behaviorStatewide implementationCigarette policiesSmokingNoninvasive in vivo photoacoustic detection of malaria with Cytophone in Cameroon
Yadem A, Armstrong J, Sarimollaoglu M, Kiki Massa C, Ndifo J, Menyaev Y, Mbe A, Richards K, Wade M, Zeng Y, Chen R, Zhou Q, Meten E, Ntone R, Tchuedji Y, Ullah S, Galanzha E, Eteki L, Gonsu H, Biris A, Suen J, Boum Y, Zharov V, Parikh S. Noninvasive in vivo photoacoustic detection of malaria with Cytophone in Cameroon. Nature Communications 2024, 15: 9228. PMID: 39455558, PMCID: PMC11511992, DOI: 10.1038/s41467-024-53243-z.Peer-Reviewed Original ResearchConceptsClearance of parasitemiaDetection of malariaMalaria-infected red blood cellsDiagnosed symptomatic casesCross-sectional cohortUncomplicated malariaMalaria diagnosticsMalaria infectionRed blood cellsSymptomatic casesTarget antigenAsymptomatic reservoirCameroonian adultsFlow cytometer platformBlood samplesReservoir of infectionBlood cellsLack sensitivityLongitudinal cohortMolecular assaysMalariaIRBCPoint-of-careCohortQuantitative PCRPhase I PIANO trial—PIPAC-oxaliplatin and systemic nivolumab combination for gastric cancer peritoneal metastases: clinical and translational outcomes
Sundar R, Chia D, Zhao J, Lee A, Kim G, Tan H, Pang A, Shabbir A, Willaert W, Ma H, Huang K, Hagihara T, Tan A, Ong C, Wong J, Seo C, Walsh R, Chan G, Cheo S, Soh C, Callebout E, Geboes K, Ng M, Lum J, Leow W, Selvarajan S, Hoorens A, Ang W, Pang H, Tan P, Yong W, Chia C, Ceelen W, So J. Phase I PIANO trial—PIPAC-oxaliplatin and systemic nivolumab combination for gastric cancer peritoneal metastases: clinical and translational outcomes. ESMO Open 2024, 9: 103681. PMID: 39288528, PMCID: PMC11421236, DOI: 10.1016/j.esmoop.2024.103681.Peer-Reviewed Original ResearchConceptsGastric cancer peritoneal metastasisPeritoneal cancer indexNivolumab combinationPeritoneal metastasisPeritoneal tumorsNaive CD8+ T cellsCD8+ central memoryEnhanced T cell infiltrationTreatment-related adverse eventsCD8+ T cellsGrade 4 vomitingRegression grade 1First-in-human trialImmune checkpoint inhibitionMemory CD4+T cell infiltrationImmunogenic cell deathSystemic immunotherapyCheckpoint inhibitionSystemic therapyCancer indexCD4+Intraperitoneal treatmentT cellsAdverse eventsBrain Care Score and Neuroimaging Markers of Brain Health in Asymptomatic Middle-Age Persons
Rivier C, Singh S, Senff J, Tack R, Marini S, Clocchiatti-Tuozzo S, Huo S, Renedo D, Papier K, Conroy M, Littlejohns T, Chemali Z, Kourkoulis C, Payabvash S, Newhouse A, Westover M, Lazar R, Pikula A, Ibrahim S, Howard V, Howard G, Brouwers H, Van Duijn C, Fricchione G, Tanzi R, Yechoor N, Sheth K, Anderson C, Rosand J, Falcone G. Brain Care Score and Neuroimaging Markers of Brain Health in Asymptomatic Middle-Age Persons. Neurology 2024, 103: e209687. PMID: 39052961, PMCID: PMC11760050, DOI: 10.1212/wnl.0000000000209687.Peer-Reviewed Original ResearchConceptsCare scoresUK BiobankWhite matter hyperintensitiesHealth-related behaviorsMarkers of brain healthMiddle-aged personsStroke risk factorsProspective cohort studyMultivariate linear regressionEmpower patientsSilent cerebrovascular diseaseBrain careWhite matter hyperintensities progressionDementia historyHealth declineInvestigate associationsCohort studyBrain healthNeuroimaging markersHigher scoresRisk factorsMean diffusivityCerebrovascular diseaseFractional anisotropyImaging assessmentMaturation of germinal center B cells after influenza virus vaccination in humans
McIntire K, Meng H, Lin T, Kim W, Moore N, Han J, McMahon M, Wang M, Malladi S, Mohammed B, Zhou J, Schmitz A, Hoehn K, Carreño J, Yellin T, Suessen T, Middleton W, Teefey S, Presti R, Krammer F, Turner J, Ward A, Wilson I, Kleinstein S, Ellebedy A. Maturation of germinal center B cells after influenza virus vaccination in humans. Journal Of Experimental Medicine 2024, 221: e20240668. PMID: 38935072, PMCID: PMC11211068, DOI: 10.1084/jem.20240668.Peer-Reviewed Original ResearchConceptsB cellsInfluenza vaccineGerminal centersAntigen-specific GC B cellsResponse to seasonal influenza vaccinationLong-lived bone marrow plasma cellsResponse to influenza vaccinationBone marrow plasma cellsGerminal center B cellsGC B cell clonesInfluenza virus vaccineMaturation of B cellsMarrow plasma cellsSeasonal influenza vaccineMemory B cellsHemagglutinin (HAB cell clonesGC B cellsInfluenza hemagglutinin (HAH5 HANeedle aspirationLymphoid structuresLymph nodesPlasma cellsGC reactionExploring the Big Data Paradox for various estimands using vaccination data from the global COVID-19 Trends and Impact Survey (CTIS)
Yang Y, Dempsey W, Han P, Deshmukh Y, Richardson S, Tom B, Mukherjee B. Exploring the Big Data Paradox for various estimands using vaccination data from the global COVID-19 Trends and Impact Survey (CTIS). Science Advances 2024, 10: eadj0266. PMID: 38820165, PMCID: PMC11314312, DOI: 10.1126/sciadv.adj0266.Peer-Reviewed Original Research
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