2025
Human Immunodeficiency Virus Infection and Long COVID: A RECOVER Program, Electronic Health Record–Based Cohort Study
Hawkins K, Dandachi D, Verzani Z, Brannock M, Lewis C, Abedian S, Jaferian S, Wuller S, Truong J, Witvliet M, Dymond G, Mehta H, Patel P, Hill E, Weiner M, Carton T, Kaushal R, Feuerriegel E, Tran H, Marks K, Oliveira C, Gardner E, Ofotokun I, Gulick R, Erlandson K. Human Immunodeficiency Virus Infection and Long COVID: A RECOVER Program, Electronic Health Record–Based Cohort Study. Clinical Infectious Diseases 2025, ciaf242. PMID: 40354184, DOI: 10.1093/cid/ciaf242.Peer-Reviewed Original ResearchDefinition of Long COVIDICD-10Baseline chronic conditionsLong COVIDElectronic health record databaseIncreased riskHealth record databaseICD-10 codesICD-10 definitionRisk of long COVIDClinical Research NetworkChronic conditionsAcute SARS-CoV-2 infectionHIV statusAnalytic sampleOdds ratioCohort definitionsCohort CollaborationComputable phenotypePhenotype definitionRecord databaseSARS-CoV-2 infectionLogistic regressionResearch NetworkMulticenter studyEffect of glucagon-like peptide-1 receptor agonists on vascular risk factors among adults with type 2 diabetes and established atherosclerotic cardiovascular disease
King A, Tan X, Dhopeshwarkar N, Bohn R, Dea K, Leonard C, de Havenon A. Effect of glucagon-like peptide-1 receptor agonists on vascular risk factors among adults with type 2 diabetes and established atherosclerotic cardiovascular disease. American Journal Of Preventive Cardiology 2025, 21: 100922. PMID: 39896054, PMCID: PMC11786665, DOI: 10.1016/j.ajpc.2024.100922.Peer-Reviewed Original ResearchVascular risk factorsGLP-1 RAsRisk factorsType 2 diabetesAtherosclerotic cardiovascular diseaseUS electronic health records databaseElectronic health record databaseOW GLP-1 RAsRisk factor valuesHealth record databaseCardiovascular diseaseReal-world practiceBody mass indexOnce-weeklyEffects of glucagon-like peptide-1 receptor agonistsGlucagon-like peptide-1 receptor agonistsGLP-1Systolic blood pressureLow-density lipoprotein cholesterolPeptide-1 receptor agonistsEffects of once-weeklyMass indexRecord databaseSignificant mean reductionAssociated with significant reductions
2024
Neuropsychiatric complications of coronavirus disease 2019: Mount Sinai Health System cohort study
Gururangan K, Peschansky V, Van Hyfte G, Agarwal P, Blank L, Mathew B, Goldstein J, Kwon C, McCarthy L, Cohen A, Chan A, Deng P, Dhamoon M, Gutzwiller E, Hao Q, He C, Klenofsky B, Lemus H, Marcuse L, Navis A, Heredia Nunez W, Luckey M, Schorr E, Singh A, Tantillo G, Ufongene C, Young J, Balchandani P, Festa J, Naasan G, Charney A, Nadkarni G, Jetté N. Neuropsychiatric complications of coronavirus disease 2019: Mount Sinai Health System cohort study. Journal Of Neurology 2024, 271: 3991-4007. PMID: 38656620, DOI: 10.1007/s00415-024-12370-9.Peer-Reviewed Original ResearchConceptsIn-Hospital MortalityAssociated with lower oddsHigher odds of mortalityResultsOur study cohortElectronic medical record databaseChart reviewNeuropsychiatric complicationsNew York City health systemOdds of mortalityAssociated with in-hospital mortalityMultivariate logistic regressionMedical record databaseHealth systemLower oddsHigher oddsIndividual chart reviewSerum inflammatory marker levelsCohort studyPre-existing comorbiditiesRecord databaseCOVID-19Logistic regressionTreated with anticoagulationInflammatory marker levelsComplication of coronavirus diseaseCorrigendum to “AML-068 - Survival Differences in Patients With Acute Myeloid Leukemia (AML) Treated With Oral Azacitidine (Oral-AZA) as Maintenance and Those Eligible but Not Treated in a US Electronic Health Record (EHR) Database” [Clinical Lymphoma, Myeloma & Leukemia, 23S1 (2023) S1-S593]
Mims A, Xie Z, Vasconcelos A, Strocchia M, Heydendael W, Chevli M, Rotter D, Potluri R, Prebet T, Sieluk J. Corrigendum to “AML-068 - Survival Differences in Patients With Acute Myeloid Leukemia (AML) Treated With Oral Azacitidine (Oral-AZA) as Maintenance and Those Eligible but Not Treated in a US Electronic Health Record (EHR) Database” [Clinical Lymphoma, Myeloma & Leukemia, 23S1 (2023) S1-S593]. Clinical Lymphoma Myeloma & Leukemia 2024, 24: 203-204. DOI: 10.1016/j.clml.2023.11.010.Peer-Reviewed Original Research
2023
Chronic Cough: Characterizing and Quantifying Burden in Adults Using a Nationwide Electronic Health Records Database
Scierka L, Bradley B, Glynn E, Davis S, Hoffman M, Tam-Williams J, Mena-Hurtado C, Smolderen K. Chronic Cough: Characterizing and Quantifying Burden in Adults Using a Nationwide Electronic Health Records Database. Journal Of Healthcare Informatics Research 2023, 8: 50-64. PMID: 38273985, PMCID: PMC10805682, DOI: 10.1007/s41666-023-00150-5.Peer-Reviewed Original ResearchChronic coughChronic cough patientsAcute coughCough patientsElectronic health record databaseChronic pulmonary diseaseHealth care utilizationEHR-based dataHealth record databaseCough phenotypesCough episodesPulmonary diseaseCare utilizationDiseases codesCommon conditionCoughInternational ClassificationMore outpatientUnknown raceRecord databaseRisk profileOlder ageCohortEHR databaseQuantifying burdenThe Epidemiology of Palmoplantar Pustulosis: An Analysis of Multiple Health Insurance Claims and Electronic Health Records Databases
Ramcharran D, Strober B, Gordon K, DeKlotz C, Fakharzadeh S, Yang Y, Swerdel J, Hardin J, Dronavalli S, Paller A. The Epidemiology of Palmoplantar Pustulosis: An Analysis of Multiple Health Insurance Claims and Electronic Health Records Databases. Advances In Therapy 2023, 40: 5090-5101. PMID: 37737889, PMCID: PMC10567878, DOI: 10.1007/s12325-023-02669-w.Peer-Reviewed Original ResearchConceptsElectronic health record databaseHealth record databasePPP patientsRecord databaseHigher baseline useChronic inflammatory conditionsPost-diagnosis treatmentHealth insurance claimsConclusionsThe burdenPotential miscodingPalmoplantar pustulosisSterile pustulesBaseline characteristicsMetabolic syndromeBaseline useInflammatory conditionsIncidence ratePopulation-based approachPrevalence estimatesPPP prevalenceEpidemiologyAdditional studiesPustulosisDisease treatmentPatientsEvaluation of a Model to Target High-risk Psychiatric Inpatients for an Intensive Postdischarge Suicide Prevention Intervention
Kessler R, Bauer M, Bishop T, Bossarte R, Castro V, Demler O, Gildea S, Goulet J, King A, Kennedy C, Landes S, Liu H, Luedtke A, Mair P, Marx B, Nock M, Petukhova M, Pigeon W, Sampson N, Smoller J, Miller A, Haas G, Benware J, Bradley J, Owen R, House S, Urosevic S, Weinstock L. Evaluation of a Model to Target High-risk Psychiatric Inpatients for an Intensive Postdischarge Suicide Prevention Intervention. JAMA Psychiatry 2023, 80: 230-240. PMID: 36652267, PMCID: PMC9857842, DOI: 10.1001/jamapsychiatry.2022.4634.Peer-Reviewed Original ResearchConceptsClinical notesElectronic health recordsPsychiatric hospitalizationVHA electronic health recordsCount of medicationsPsychiatric hospital dischargeHigh-risk patientsHealth recordsShort-term psychiatric hospitalizationNational Death IndexSuicide prevention interventionsPostdischarge suicideUnique hospitalizationsHospital dischargeDeath IndexPrevention interventionsHigh riskMAIN OUTCOMEHospitalizationDrug AdministrationUS FoodRecord databasePsychiatric inpatientsSocial determinantsCase managementVenetoclax plus azacitidine compared with intensive chemotherapy as induction for patients with acute myeloid leukemia: retrospective analysis of an electronic medical record database in the United States
Zeidan A, Pollyea D, Borate U, Vasconcelos A, Potluri R, Rotter D, Kiendrebeogo Z, Gaugler L, Prebet T, Strocchia M, Bonifacio G, Chen C. Venetoclax plus azacitidine compared with intensive chemotherapy as induction for patients with acute myeloid leukemia: retrospective analysis of an electronic medical record database in the United States. Annals Of Hematology 2023, 102: 749-754. PMID: 36732419, PMCID: PMC10285011, DOI: 10.1007/s00277-023-05109-5.Peer-Reviewed Original ResearchConceptsHematopoietic stem cell transplantAcute myeloid leukemiaRelapse-free survivalIntensive chemotherapyComplete remissionOverall survivalMyeloid leukemiaRetrospective analysisMedian relapse-free survivalElectronic medical record databaseFlatiron Health databaseMedian overall survivalStem cell transplantMedical record databaseElectronic health recordsHSCT ratesRelapse rateCell transplantControlled TrialsTreatment outcomesHealth databasesPatientsRecord databaseMonthsHealth records
2022
RATES OF GUIDELINE DIRECTED MEDICAL THERAPY IN PATIENTS WITH CRITICAL LIMB ISCHEMIA UNDERGOING MAJOR AMPUTATION: INSIGHTS FROM THE NATIONAL CERNER HEALTH FACTS ELECTRONIC HEALTH RECORD DATABASE
Provance J, Spertus J, Hoffman M, Jones P, Bunte M, Vogel T, Mena-Hurtado C, Smolderen K. RATES OF GUIDELINE DIRECTED MEDICAL THERAPY IN PATIENTS WITH CRITICAL LIMB ISCHEMIA UNDERGOING MAJOR AMPUTATION: INSIGHTS FROM THE NATIONAL CERNER HEALTH FACTS ELECTRONIC HEALTH RECORD DATABASE. Journal Of The American College Of Cardiology 2022, 79: 1771. DOI: 10.1016/s0735-1097(22)02762-0.Peer-Reviewed Original ResearchExtracting Patient-level Social Determinants of Health into the OMOP Common Data Model.
Phuong J, Zampino E, Dobbins N, Espinoza J, Meeker D, Spratt H, Madlock-Brown C, Weiskopf N, Wilcox A. Extracting Patient-level Social Determinants of Health into the OMOP Common Data Model. AMIA Annual Symposium Proceedings 2022, 2021: 989-998. PMID: 35308947, PMCID: PMC8861735.Peer-Reviewed Original Research
2021
Venetoclax Plus Azacitidine (VEN-AZA) Vs. Intensive Chemotherapy (IC) As Induction for Patients with Acute Myeloid Leukemia (AML): Retrospective Analysis of an Electronic Medical Records (EMR) Database in the United States
Zeidan A, Pollyea D, Borate U, Vasconcelos A, Potluri R, Rotter D, Kiendrebeogo Z, Gaugler L, Bonifacio G, Chen C. Venetoclax Plus Azacitidine (VEN-AZA) Vs. Intensive Chemotherapy (IC) As Induction for Patients with Acute Myeloid Leukemia (AML): Retrospective Analysis of an Electronic Medical Records (EMR) Database in the United States. Blood 2021, 138: 277. DOI: 10.1182/blood-2021-147926.Peer-Reviewed Original ResearchClinical Trials CommitteeRelapse-free survivalAcute myeloid leukemiaMedian relapse-free survivalCurrent equity holderElectronic medical record databaseBristol-Myers SquibbSubgroups of ptsIntensive chemotherapyIC cohortStart of therapyOverall survivalTrials CommitteeMedical record databaseRemission rateCR rateAge-based subgroupsYears subgroupRecord databaseIncomplete hematologic recovery (CRi) ratesReal-world clinical practicePhase 3 trial dataAdvisory CommitteeDaiichi SankyoGood remission rateComprehensive Characterization of COVID-19 Patients with Repeatedly Positive SARS-CoV-2 Tests Using a Large U.S. Electronic Health Record Database
Dong X, Zhou Y, Shu X, Bernstam E, Stern R, Aronoff D, Xu H, Lipworth L. Comprehensive Characterization of COVID-19 Patients with Repeatedly Positive SARS-CoV-2 Tests Using a Large U.S. Electronic Health Record Database. Microbiology Spectrum 2021, 9: 10.1128/spectrum.00327-21. PMID: 34406805, PMCID: PMC8552669, DOI: 10.1128/spectrum.00327-21.Peer-Reviewed Original ResearchConceptsPositive SARS-CoV-2 testSARS-CoV-2 testSecond positive testElectronic health record databaseCases of reinfectionHealth record databasePositive testPositive SARS-CoV-2 PCR test resultsSevere acute respiratory syndrome coronavirus 2 (SARS-CoV-2) testingSARS-CoV-2 PCR test resultsRecord databaseSevere acute respiratory syndrome coronavirus 2Intensive care unit admissionAcute respiratory syndrome coronavirus 2SARS-CoV-2 infectionRespiratory syndrome coronavirus 2Long-term health consequencesLarge electronic health record databasePotential long-term health consequencesCare unit admissionOverweight/obeseChronic medical conditionsPositive molecular testCOVID-19 patientsSyndrome coronavirus 2
2020
Evaluating Recruitment Strategies for a Randomized Clinical Trial with Heart Failure Patients
Conley S, O’Connell M, Linsky S, Moemeka L, Darden JW, Gaiser EC, Jacoby D, Yaggi H, Redeker NS. Evaluating Recruitment Strategies for a Randomized Clinical Trial with Heart Failure Patients. Western Journal Of Nursing Research 2020, 43: 785-790. PMID: 33158412, PMCID: PMC8099934, DOI: 10.1177/0193945920970229.Peer-Reviewed Original ResearchConceptsClinic-based recruitmentMultiple recruitment strategiesPatient portalsClinical trialsElectronic databasesChronic stable heart failureElectronic medical record databaseRecruitment strategiesStable heart failureHeart failure patientsChronic medical conditionsRandomized clinical trialsMedical record databaseBaseline data collectionCognitive behavioral therapyFailure patientsHeart failureMedical recordsMedical conditionsPatientsRecruitment goalsRecord databaseBehavioral therapySupport groupsTrials
2018
Selection of patients with myelodysplastic syndromes from a large electronic medical records database and a study of the use of disease-modifying therapy in the United States
Ma X, Steensma DP, Scott BL, Kiselev P, Sugrue MM, Swern AS. Selection of patients with myelodysplastic syndromes from a large electronic medical records database and a study of the use of disease-modifying therapy in the United States. BMJ Open 2018, 8: e019955. PMID: 30037860, PMCID: PMC6059277, DOI: 10.1136/bmjopen-2017-019955.Peer-Reviewed Original ResearchMeSH KeywordsAgedAged, 80 and overAnemiaAzacitidineDatabases, FactualDecitabineElectronic Health RecordsEnzyme InhibitorsFemaleHematinicsHumansImmunologic FactorsIron Chelating AgentsLenalidomideMaleMiddle AgedMultivariate AnalysisMyelodysplastic SyndromesProportional Hazards ModelsRecurrenceRetrospective StudiesThalidomideTreatment OutcomeUnited StatesConceptsDisease-modifying therapiesErythropoiesis-stimulating agentsElectronic medical record databaseMyelodysplastic syndromeMedical record databasePatient characteristicsTreatment patternsGE Centricity Electronic Medical Records databaseRecord databaseLow baseline hemoglobin levelMultivariable Cox regression modelsLarge electronic medical record databaseBaseline hemoglobin levelAbsence of comorbiditiesFirst-line treatmentMajority of patientsSelection of patientsCox regression modelIron chelation therapyAgent azacitidineMore comorbiditiesHemoglobin levelsMale genderClinical trialsChelation therapy
2016
Factors affecting time to active therapy (AT) among patients (pts) with myelodysplastic syndromes (MDS) in a US electronic medical records (EMR) database.
Scott B, Kiselev P, Fliss A, Huang M, Steensma D, Ma X, Swern A, Sugrue M. Factors affecting time to active therapy (AT) among patients (pts) with myelodysplastic syndromes (MDS) in a US electronic medical records (EMR) database. Journal Of Clinical Oncology 2016, 34: e18548-e18548. DOI: 10.1200/jco.2016.34.15_suppl.e18548.Peer-Reviewed Original Research
2015
Phenotype-Driven Plasma Biobanking Strategies and Methods
Bowton EA, Collier SP, Wang X, Sutcliffe CB, Van Driest SL, Couch LJ, Herrera M, Jerome RN, Slebos RJ, Alborn WE, Liebler DC, McNaughton CD, Mernaugh RL, Wells QS, Brown NJ, Roden DM, Pulley JM. Phenotype-Driven Plasma Biobanking Strategies and Methods. Journal Of Personalized Medicine 2015, 5: 140-152. PMID: 26110578, PMCID: PMC4493492, DOI: 10.3390/jpm5020140.Peer-Reviewed Original ResearchDNA biorepositoryElectronic medical record databaseMedical record databaseRoutine clinical testingGenotype-phenotype interactionsClinical outcomesGenomic researchClinical dataClinical careClinical testingRecord databaseClinical researchMetabolomics approachBiobank developmentPersonalized medicineBioVUSample collectionGenomics
2005
Condom effectiveness for prevention of Chlamydia trachomatis infection
Niccolai LM, Rowhani-Rahbar A, Jenkins H, Green S, Dunne DW. Condom effectiveness for prevention of Chlamydia trachomatis infection. Sexually Transmitted Infections 2005, 81: 323. PMID: 16061540, PMCID: PMC1745001, DOI: 10.1136/sti.2004.012799.Peer-Reviewed Original ResearchConceptsC trachomatis infectionChlamydia trachomatis infectionTrachomatis infectionDisease-specific estimatesEffectiveness of condomsC trachomatisCondom usersMedical record databaseObserved protective effectConsistent condom usersInconsistent condom usersInfected partnerDisease clinicBody of evidenceInfection preventionProtective effectUnknown exposureRecord databaseCondom effectivenessInfectionCondomsClinicTrachomatisExposurePrevention
2003
Quality of Care of Medicare Beneficiaries with Acute Myocardial Infarction: Who Is Included in Quality Improvement Measurement?
Rathore SS, Wang Y, Radford MJ, Ordin DL, Krumholz HM. Quality of Care of Medicare Beneficiaries with Acute Myocardial Infarction: Who Is Included in Quality Improvement Measurement? Journal Of The American Geriatrics Society 2003, 51: 466-475. PMID: 12657065, DOI: 10.1046/j.1532-5415.2003.51154.x.Peer-Reviewed Original ResearchConceptsAcute myocardial infarctionReperfusion therapyOlder patientsMyocardial infarctionU.S. acute care hospitalsProportion of patientsAcute care hospitalsEffective treatment strategiesMedical record databaseOlder age groupsQuality of careQuality improvement measurementAdmission therapyDischarge therapyCare hospitalACE inhibitorsMedicare patientsTreatment strategiesRetrospective analysisMedicare beneficiariesPatientsEnzyme inhibitorsRecord databaseAge groupsTherapy
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