2025
Cannabis Legalization and Opioid Use Disorder in Veterans Health Administration Patients
Mannes Z, Wall M, Alschuler D, Malte C, Olfson M, Livne O, Fink D, Keyhani S, Keyes K, Martins S, Cerdá M, Sacco D, Gutkind S, Maynard C, Sherman S, Saxon A, Hasin D. Cannabis Legalization and Opioid Use Disorder in Veterans Health Administration Patients. JAMA Health Forum 2025, 6: e251369. PMID: 40512510, PMCID: PMC12166489, DOI: 10.1001/jamahealthforum.2025.1369.Peer-Reviewed Original ResearchConceptsVeterans Health AdministrationVeterans Health Administration patientsMedical cannabis lawsOpioid use disorderPrevalence of opioid use disorderClassification of DiseasesRecreational cannabis lawsChronic painVeterans Health Administration electronic health recordClinical ModificationConsistent with overall findingsState medical cannabis lawsInternational Statistical Classification of DiseasesReceipt of prescription opioidsStatistical Classification of DiseasesElectronic health recordsInternational Classification of DiseasesNon-Hispanic whitesOpioid use disorder diagnosisOpioid use disorder prevalenceInternational Statistical ClassificationDifference-in-differences analysisCannabis lawsUse disorderBurden of opioid use disorderAortic valve calcium as a novel risk marker for kidney function deterioration: The MESA study
Abdollahi A, Sani M, Shabani M, Matuck B, Blaha M, Wu C, Ambale-Venkatesh B, Budoff M, Strom J, Rotter J, Post W, Blumenthal R, Bluemke D, Ghahramani N, Lima J, Whelton S. Aortic valve calcium as a novel risk marker for kidney function deterioration: The MESA study. European Journal Of Internal Medicine 2025, 136: 49-55. PMID: 40263084, DOI: 10.1016/j.ejim.2025.03.037.Peer-Reviewed Original ResearchConceptsMulti-Ethnic Study of AtherosclerosisRisk of incident chronic kidney diseaseIncident chronic kidney diseaseAortic valve calciumInternational Classification of DiseasesChronic kidney diseaseCardiac CT scansAdjusted Cox proportional hazards regression modelsMultivariable adjusted Cox proportional hazards regression modelsParticipants free of chronic kidney diseaseCardiovascular diseaseMulti-Ethnic Study of Atherosclerosis studyValve calciumCT scanCVD risk factorsHistory of cardiovascular diseaseCategorized as 0Higher risk of incident CKDFree of chronic kidney diseaseAssociated with increased risk of mortalityMulti-Ethnic StudyAtherosclerotic CVD risk factorsMulti-ethnic cohortAPOE-e4 genotypeClassification of DiseasesUtility of Candidate Genes From an Algorithm Designed to Predict Genetic Risk for Opioid Use Disorder
Davis C, Jinwala Z, Hatoum A, Toikumo S, Agrawal A, Rentsch C, Edenberg H, Baurley J, Hartwell E, Crist R, Gray J, Justice A, Gelernter J, Kember R, Kranzler H, Muralidhar S, Moser J, Deen J, Tsao P, Gaziano J, Hauser E, Kilbourne A, Matheny M, Oslin D, Churby L, Whitbourne S, Brewer J, Shayan S, Selva L, Pyarajan S, Cho K, DuVall S, Brophy M, Stephens B, Connor T, Argyres D, Assimes T, Hung A, Kranzler H, Aguayo S, Ahuja S, Alexander K, Androulakis X, Balasubramanian P, Ballas Z, Beckham J, Bhushan S, Boyko E, Cohen D, Dellitalia L, Faulk L, Fayad J, Fujii D, Gappy S, Gesek F, Greco J, Godschalk M, Gress T, Gupta S, Gutierrez S, Harley J, Hamner M, Hurley R, Iruvanti P, Jacono F, Jhala D, Kinlay S, Landry M, Liang P, Liangpunsakul S, Lichy J, Mahan C, Marrache R, Mastorides S, Mattocks K, Meyer P, Moorman J, Morgan T, Murdoch M, Norton J, Okusaga O, Oursler K, Poon S, Rauchman M, Servatius R, Sharma S, Smith R, Sriram P, Strollo P, Tandon N, Villareal G, Walsh J, Wells J, Whittle J, Whooley M, Wilson P, Xu J, Yeh S, Bast E, Dryden G, Hogan D, Joshi S, Lo T, Morales P, Naik E, Ong M, Petrakis I, Rai A, Yen A. Utility of Candidate Genes From an Algorithm Designed to Predict Genetic Risk for Opioid Use Disorder. JAMA Network Open 2025, 8: e2453913. PMID: 39786773, PMCID: PMC11718552, DOI: 10.1001/jamanetworkopen.2024.53913.Peer-Reviewed Original ResearchConceptsOpioid use disorder riskElectronic health record dataHealth record dataInternational Classification of DiseasesOpioid use disorderClassification of DiseasesGenetic variantsInternational ClassificationGenetic riskRecord dataRisk of opioid use disorderMillion Veteran ProgramOpioid use disorder diagnosisUse disorderCase-control studyVeteran ProgramMain OutcomesDiagnostic codesClinical careOpioid exposurePharmacy recordsLogistic regressionRisk allelesNagelkerke R2Clinically useful model
2024
Accuracy of Electronic Health Record Phenotypes to Detect Recognition of Hypertension in Pediatric Primary Care
Nugent J, Cueto V, Tong C, Sharifi M. Accuracy of Electronic Health Record Phenotypes to Detect Recognition of Hypertension in Pediatric Primary Care. Academic Pediatrics 2024, 25: 102629. PMID: 39732164, PMCID: PMC11893226, DOI: 10.1016/j.acap.2024.102629.Peer-Reviewed Original ResearchConceptsPediatric primary careIncident hypertensionHypertensive BPHypertension recognitionPrimary careRecognition of hypertensionCross-sectional study of children aged 3Diagnosis codesElectronic health record phenotypingClinician recognitionClinician decision supportGuideline-recommended careElectronic health recordsInternational Classification of DiseasesChart reviewDocumentation of hypertensionClassification of DiseasesCross-sectional studyChildren aged 3Problem list entriesWellness visitsHealth recordsEHR phenotypesInternational ClassificationICD-10The incidence, providers involved, and patient factors associated with diagnosis of specific lumbar spine pathology subsequent an initial nonspecific low back pain diagnosis
Seddio A, Jabbouri S, Gouzoulis M, Sanchez J, Day W, Varthi A, Rubio D, Grauer J. The incidence, providers involved, and patient factors associated with diagnosis of specific lumbar spine pathology subsequent an initial nonspecific low back pain diagnosis. The Spine Journal 2024, 25: 688-695. PMID: 39505011, DOI: 10.1016/j.spinee.2024.10.008.Peer-Reviewed Original ResearchLow back painPrimary care providersLow back pain diagnosisNS-LBPInternational Classification of DiseasesLumbar spine pathologyHistory of cancerSpecialty providersOpioid use disorderNonspecific low back painSpine pathologyBack pain diagnosisPCP providersFactors associated with diagnosisClassification of DiseasesUse disorderLBP managementLBP symptomsNational administrative databaseCare providersBack painFamily medicineAdult patientsProvider specialtyPain diagnosisRisk Score for Hepatocellular Cancer in Adults Without Viral Hepatitis or Cirrhosis
Ilagan-Ying Y, Gordon K, Tate J, Lim J, Torgersen J, Re V, Justice A, Taddei T. Risk Score for Hepatocellular Cancer in Adults Without Viral Hepatitis or Cirrhosis. JAMA Network Open 2024, 7: e2443608. PMID: 39504020, PMCID: PMC11541635, DOI: 10.1001/jamanetworkopen.2024.43608.Peer-Reviewed Original ResearchConceptsClassification of DiseasesBody mass indexRisk scoreNinth Revision and International Statistical Classification of DiseasesMass indexAlcohol useInternational Statistical Classification of DiseasesStatistical Classification of DiseasesElectronic health recordsNon-Hispanic blacksInternational Classification of DiseasesNon-Hispanic whitesClinical Modification diagnosisHepatocellular carcinoma risk scoreRisk of hepatocellular carcinomaCox proportional hazards regression modelsValidation sampleHigh-risk individualsProportional hazards regression modelsHCC risk factorsFIB-4Multivariate risk scoreHepatocellular carcinomaHazards regression modelsViral hepatitisA Validated Algorithm to Identify Hepatic Decompensation in the Veterans Health Administration Electronic Health Record System
Haque L, Tate J, Chew M, Caniglia E, Taddei T, Re V. A Validated Algorithm to Identify Hepatic Decompensation in the Veterans Health Administration Electronic Health Record System. Pharmacoepidemiology And Drug Safety 2024, 33: e70024. PMID: 39477692, PMCID: PMC11631147, DOI: 10.1002/pds.70024.Peer-Reviewed Original ResearchConceptsVeterans Health Administration dataHealth administrative dataAdministrative dataElectronic health record systemsHealth record systemsInternational Classification of DiseasesCoding algorithmOutpatient International Classification of DiseasesPositive predictive valueClassification of DiseasesHepatic decompensationDiagnosis codesPharmacoepidemiologic researchMedical recordsVeteransRecording systemValidation algorithmAlgorithmChronic liver diseaseDecompensationLiver diseasePredictive valueRecordsDiagnosisImplications of mappings between International Classification of Diseases clinical diagnosis codes and Human Phenotype Ontology terms
Tan A, Gonçalves R, Yuan W, Brat G, Gentleman R, Kohane I, Masino A, Makoudjou A, Albayrak A, Gutiérrez-Sacristán A, Zambelli A, Malovini A, Carmona A, Hoffmann A, Gramfort A, Geva A, Blanco-Martínez A, Tan A, Terriza-Torres A, Spiridou A, Prunotto A, South A, Vallejos A, Atz A, Burgun A, Alloni A, Cattelan A, Jannot A, Neuraz A, Bellasi A, Maram A, Dagliati A, Sandrin A, Serret-Larmande A, Mensch A, Pfaff A, Batugo A, Krishnamurthy A, Adam A, Dionne A, Devkota B, Moal B, He B, Beaulieu-Jones B, Beaulieu-Jones B, Ostasiewski B, Aronow B, Tan B, Tan B, Torti C, Sáez C, Neto C, Sonday C, Caucheteux C, Mao C, Zucco C, Daniel C, Haverkamp C, Hong C, Bonzel C, Moraleda C, Leprovost D, Key D, Zöller D, Pillion D, Mowery D, Amendola D, Henderson D, Hanauer D, Taylor D, Wassermann D, Hazard D, Kraska D, Mazzotti D, Silvio D, Bell D, Murad D, Salamanca E, Bucholz E, Getzen E, Pfaff E, Schriver E, Toh E, Parimbelli E, Trecarichi E, Ashraf F, Vidorreta F, Bourgeois F, Sperotto F, Angoulvant F, Brat G, Varoquaux G, Omenn G, Agapito G, Albi G, Weber G, Verdy G, Lemaitre G, Roig-Domínguez G, Prokosch H, Zhang H, Estiri H, Krantz I, Kohane I, Honerlaw J, Cruz-Rojo J, Norman J, Balshi J, Cimino J, Aaron J, Santos J, Newburger J, Zahner J, Moore J, Marwaha J, Craig J, Klann J, Morris J, Obeid J, Vie J, Chen J, Son J, Zachariasse J, Booth J, Holmes J, Bernal-Sobrino J, Cruz-Bermúdez J, Leblanc J, Schuettler J, Dubiel J, Champ J, Olson K, Moshal K, Kernan K, Kirchoff K, Wagholikar K, Ngiam K, Cho K, Mandl K, Huling K, Chen K, Lynch K, Sanchez-Pinto L, Garmire L, Han L, Patel L, Waitman L, Lenert L, Anthony L, Esteve L, Chiudinelli L, Chiovato L, Scudeller L, Samayamuthu M, Martins M, Minicucci M, Menezes M, Vella M, Mazzitelli M, Savino M, Milano M, Okoshi M, Cannataro M, Alessiani M, Keller M, Hilka M, Wolkewitz M, Boeker M, Raskin M, Bucalo M, Hutch M, Bernaux M, Beraghi M, Morris M, Vitacca M, Pedrera-Jiménez M, Daniar M, Shah M, Liu M, Maripuri M, Kainth M, Yehya N, Santhanam N, Palmer N, Loh N, Sebire N, Romero-Garcia N, Brown N, Paris N, Griffon N, Gehlenborg N, Orlova N, García-Barrio N, Grisel O, Rojo P, Serrano-Balazote P, Sacchi P, Tippmann P, Martel P, Serre P, Avillach P, Azevedo P, Rubio-Mayo P, Schubert P, Guzzi P, Sliz P, Das P, Long Q, Ramoni R, Goh R, Badenes R, Bruno R, Kavuluru R, Bellazzi R, Issitt R, Follett R, Bradford R, Prudente R, Bey R, Griffier R, Duan R, Mahmood S, Mousavi S, Lozano-Zahonero S, Pizzimenti S, Maidlow S, Wong S, DuVall S, Cossin S, L'Yi S, Murphy S, Fan S, Visweswaran S, Rieg S, Bosari S, Makwana S, Bréant S, Bhatnagar S, Tanni S, Cormont S, Ahooyi T, Priya T, Naughton T, Ganslandt T, Colicchio T, Cai T, Gradinger T, González T, Zuccaro V, Tibollo V, Jouhet V, Quirós-González V, Panickan V, Benoit V, Njoroge W, Bryant W, Yuan W, Xiong X, Wang X, Ye Y, Luo Y, Ho Y, Strasser Z, Abad Z, Xia Z, Kate K, Hernández-Arango A, Schwamm E. Implications of mappings between International Classification of Diseases clinical diagnosis codes and Human Phenotype Ontology terms. JAMIA Open 2024, 7: ooae118. PMID: 39559493, PMCID: PMC11570992, DOI: 10.1093/jamiaopen/ooae118.Peer-Reviewed Original ResearchElectronic health recordsElectronic health record datasetInternational Classification of Diseases codesInternational Classification of DiseasesAlignment of ontologiesMedical Language SystemHuman Phenotype OntologyData annotationBiomedical entitiesUMLData integrationElectronic health record dataInternational ClassificationHuman Phenotype Ontology termsHealth recordsOntologyCodeAnnotated phenotypesClinical diagnosis codesClassification of DiseasesLanguage systemDatasetResearch ontologyMap coverageDiagnosis codesEvaluating the concordance between International Classification of Diseases, Tenth Revision Code and stroke severity as measured by the National Institutes of Health Stroke Scale
Taha M, Habib M, Lomachinsky V, Hadar P, Newhouse J, Schwamm L, Blacker D, Moura L. Evaluating the concordance between International Classification of Diseases, Tenth Revision Code and stroke severity as measured by the National Institutes of Health Stroke Scale. BMJ Neurology Open 2024, 6: e000831. PMID: 39363950, PMCID: PMC11448239, DOI: 10.1136/bmjno-2024-000831.Peer-Reviewed Original ResearchPaul Coverdell National Acute Stroke ProgramNational Institutes of Health Stroke ScaleInternational Classification of DiseasesClassification of DiseasesHealth Stroke ScaleInternational ClassificationICD-10Acute ischaemic strokeStroke severityICD-10 diagnosis codesStroke ScaleNIHSS scoreMeasures of stroke severityMedicare claims dataIntraclass correlation coefficientNational Institutes of Health Stroke Scale scoreNational InstituteMedicaid Services guidelinesService guidelinesStroke programClinical registryDiagnosis codesClaims dataSampled patientsExpert clinical evaluationHospital Readmissions Among Infants With Neonatal Opioid Withdrawal Syndrome
Gaither J, Drago M, Grossman M, Li Y, Shabanova V, Xu X, Leventhal J. Hospital Readmissions Among Infants With Neonatal Opioid Withdrawal Syndrome. JAMA Network Open 2024, 7: e2435074. PMID: 39316398, PMCID: PMC11423163, DOI: 10.1001/jamanetworkopen.2024.35074.Peer-Reviewed Original ResearchConceptsNeonatal opioid withdrawal syndromeOpioid withdrawal syndromeWithdrawal syndromeCohort studyHospital readmissionLow birth weightReadmission ratesRetrospective cohort studyIncreased risk of readmissionNationwide Readmissions DatabaseClinical Modification codesGestational ageOdds of readmissionMultiple gestationsFull-termInternational Classification of DiseasesRisk of readmissionHospital discharge recordsBirth weightSurvey-weighted logistic regressionType of insuranceIncreased 5-foldIncreased riskReadmissions DatabaseYear of birthThe Use of Postoperative Antibiotics in Shoulder Arthroscopy Patients.
Vasavada K, Gipsman A, Mojica E, Shankar D, Mannino B, Jazrawi L. The Use of Postoperative Antibiotics in Shoulder Arthroscopy Patients. Bulletin Of The NYU Hospital For Joint Disease 2024, 82: 167-171. PMID: 39150869.Peer-Reviewed Original ResearchConceptsProphylactic oral antibioticsIncidence of infectionShoulder arthroscopyAntibiotic prophylaxisPostoperative antibioticsOral antibioticsAntibiotic usageProphylactic postoperative antibioticsShoulder arthroscopy patientsPostoperative antibiotic prophylaxisDeep tissue infectionsClinical ModificationCases of infectionOutpatient surgery centerRisk of infectionChi-square testRetrospective reviewTissue infectionsInternational Classification of DiseasesPost hoc power analysisArthroscopy patientsPrimary outcomeClassification of DiseasesSurgery centersPatientsReliability generalization Meta-Analysis and psychometric review of the Gaming Disorder test (GDT): Evaluating internal consistency
Jahrami H, Husain W, Lin C, Björling G, Potenza M, Pakpour A. Reliability generalization Meta-Analysis and psychometric review of the Gaming Disorder test (GDT): Evaluating internal consistency. Addictive Behaviors Reports 2024, 20: 100563. PMID: 39282470, PMCID: PMC11399696, DOI: 10.1016/j.abrep.2024.100563.Peer-Reviewed Original ResearchInternal consistencyCronbach's alphaMeta-analysisPsychometric propertiesInternational Classification of DiseasesEvaluate internal consistencyExcellent internal consistencyClassification of DiseasesRisk of biasPublic health issueReliability generalization meta-analysisPsychometric reviewInternational ClassificationStudy qualityQualitative synthesisHealth issuesPre-registrationPsychometric testsGaming Disorder TestComprehensive searchDiverse populationsSample characteristicsPsychometric dataAnalyzed studiesGaming disorderQuality Improvement Initiative Enhances Outpatient Pediatric Pulmonology Follow-up for Premature Infants with Bronchopulmonary Dysplasia
Brumer E, Godse S, Chandrasekar L, Kizilirmak T, Blythe E, Gozzo Y, Peterec S, Kandil S, Grossman M, Chen L, Weiss P, Sheares B. Quality Improvement Initiative Enhances Outpatient Pediatric Pulmonology Follow-up for Premature Infants with Bronchopulmonary Dysplasia. Pediatric Quality And Safety 2024, 9: e736. PMID: 38854502, PMCID: PMC11161285, DOI: 10.1097/pq9.0000000000000736.Peer-Reviewed Original ResearchSevere bronchopulmonary dysplasiaBronchopulmonary dysplasiaPremature infantsFollow-upClassification of bronchopulmonary dysplasiaDiagnosis of bronchopulmonary dysplasiaYale-New Haven Children's HospitalBronchopulmonary dysplasia severityFollow-up of childrenPulmonary follow-upStandard treatment optionPercentage of patientsRespiratory-related morbidityPremature babiesInternational Classification of DiseasesAccuracy of diagnosisTreatment optionsCorrect diagnosisChildren's HospitalQuality improvement initiativesQuality improvement projectClassification of DiseasesMedical recordsPercentage of appointmentsElectronic medical recordsPerspectives on benefits and risks of creation of an “injection drug use” billing code
Sundaram G, Sato T, Goodman-Meza D, Haddad M, Thakarar K, Feinberg J, Springer S, Barton K, Butler N, Eaton E, Wurcel A. Perspectives on benefits and risks of creation of an “injection drug use” billing code. Journal Of Substance Use And Addiction Treatment 2024, 164: 209392. PMID: 38735482, DOI: 10.1016/j.josat.2024.209392.Peer-Reviewed Original ResearchInjection drug useSubstance use disordersInternational Classification of DiseasesIncreased riskICD-10 codesDrug useClassification of DiseasesHealthcare utilizationHealth servicesIncreased risk of overdoseFinancial reimbursementInternational ClassificationHealthcare systemRisk of overdoseTreatment servicesICD codesIdentifying peopleWell-beingPWIDUse disorderSystem of resource allocationHealthRiskImproved systemPotential benefitsLGBQ-affirming clinical recommendations for compulsive sexual behavior disorder
Jennings T, Gleason N, Pachankis J, Bőthe B, Kraus S. LGBQ-affirming clinical recommendations for compulsive sexual behavior disorder. Journal Of Behavioral Addictions 2024, 13: 413-428. PMID: 38592797, PMCID: PMC11220820, DOI: 10.1556/2006.2024.00012.Peer-Reviewed Original ResearchCompulsive sexual behavior disorderMental health professionalsSexual behavior disorderBehavioral disordersMinority stress theoryHealth professionalsClinical recommendationsPreliminary clinical recommendationsMental health conditionsLGBQ clientsDevelopment of mental health conditionsTheoretical orientationTreatment recommendationsLGBQ populationInternational Classification of DiseasesPreliminary natureLGBQClassification of DiseasesEvidence-based principlesAssessment recommendationsDisordersStress theorySociocultural contextInternational ClassificationClientsEvaluating the Concordance Between International Classification of Diseases, Tenth Revision Code, and Stroke Severity as Measured by the National Institutes of Health Stroke Scale (P1-5.013)
Taha M, Habib M, Torres V, Hadar P, Newhouse J, Schwamm L, Blacker D, Moura L. Evaluating the Concordance Between International Classification of Diseases, Tenth Revision Code, and Stroke Severity as Measured by the National Institutes of Health Stroke Scale (P1-5.013). Neurology 2024, 102 DOI: 10.1212/wnl.0000000000206137.Peer-Reviewed Original ResearchInternational Classification of DiseasesClassification of DiseasesNational Institutes of Health Stroke ScaleHealth Stroke ScaleInternational ClassificationStroke severityStroke ScaleNational InstituteInternational Classification of Diseases Coding for Inflammatory Arthritides
Zhu J, Galivanche A, Gouzoulis M, Kammien A, Gillinov S, Jayaram R, Grauer J. International Classification of Diseases Coding for Inflammatory Arthritides. JAMA Network Open 2024, 7: e246544. PMID: 38635274, DOI: 10.1001/jamanetworkopen.2024.6544.Peer-Reviewed Original ResearchReliability of a Measure of Admission Intensity for Emergency Physicians
Janke A, Oskvarek J, Zocchi M, Cai A, Litvak O, Pines J, Venkatesh A. Reliability of a Measure of Admission Intensity for Emergency Physicians. Annals Of Emergency Medicine 2024, 84: 295-304. PMID: 38430082, DOI: 10.1016/j.annemergmed.2024.02.002.Peer-Reviewed Original ResearchED admission ratesIntraclass correlation coefficientAdmission ratesEmergency departmentAverage admission rateMeasures of emergency departmentValue-based care programsInternational Classification of DiseasesClassification of DiseasesLinear probability modelsMultilevel linear probability modelsCare programED visitsInternational ClassificationEmergency physiciansDiagnosis codesCorrelation coefficientPhysiciansIdentifying high-Reduce variationIntraclassStandard deviationAdmissionClinical conditionsAssess stabilityImpact of COVID-19 pandemic on the volume, cost, and outcomes of cardiac electrophysiology procedures in the United States
Altibi A, Hashem A, Ghanem F, Sanghai S, Nazer B, Stecker E, Henrikson C. Impact of COVID-19 pandemic on the volume, cost, and outcomes of cardiac electrophysiology procedures in the United States. Heart Rhythm 2024, 21: 1121-1131. PMID: 38417597, DOI: 10.1016/j.hrthm.2024.02.047.Peer-Reviewed Original ResearchImplantable cardioverter-defibrillator implantationUnited StatesCardioverter-defibrillator implantationPermanent pacemakerEP proceduresCOVID-19 pandemicDeferral of elective proceduresDual-chamber permanent pacemakerAdverse in-hospital eventsNational Inpatient Sample databaseCardiac electrophysiology proceduresIn-hospital eventsInpatient Sample databaseProcedural trendsRevenue lossInternational Classification of DiseasesCases/million populationAblation proceduresArrhythmia ablationElectrophysiological proceduresDevice implantationImpact of COVID-19 pandemicClassification of DiseasesElective proceduresSample databaseAPOE ε4 and Intracerebral Hemorrhage in Patients With Brain Arteriovenous Malformation
Renedo D, Rivier C, Koo A, Sujijantarat N, Clocchiatti-Tuozzo S, Wu K, Torres-Lopez V, Huo S, Gunel M, de Havenon A, Sheth K, Matouk C, Falcone G. APOE ε4 and Intracerebral Hemorrhage in Patients With Brain Arteriovenous Malformation. JAMA Network Open 2024, 7: e2355368. PMID: 38363572, PMCID: PMC10873768, DOI: 10.1001/jamanetworkopen.2023.55368.Peer-Reviewed Original ResearchConceptsApolipoprotein E e4Participants of European ancestryRisk of intracerebral hemorrhageHigh risk of intracerebral hemorrhageCross-sectional studyUK BiobankEuropean ancestryHigh riskUs Research ProgramUK Biobank participantsInternational Classification of DiseasesAssociated with higher risk of ICHCross-sectional study of patientsAPOE e4 statusClassification of DiseasesApolipoprotein ENinth Revision and Tenth RevisionAssociated with higher riskIndividual-level dataMultivariate logistic regressionIntracerebral hemorrhage riskBrain arteriovenous malformationsIntracerebral hemorrhageBiobank participantsTenth Revision
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