2025
Examining psychiatric and cognitive adverse effects of brivaracetam, clobazam, lacosamide, eslicarbazepine, and perampanel in a veteran population
Nuthalapati P, DeBonis D, Gopaul M, Okafor C, Orner M, Jimenez A, Altalib H. Examining psychiatric and cognitive adverse effects of brivaracetam, clobazam, lacosamide, eslicarbazepine, and perampanel in a veteran population. Epilepsy & Behavior 2025, 172: 110557. PMID: 40570732, DOI: 10.1016/j.yebeh.2025.110557.Peer-Reviewed Original ResearchVeteran populationRetrospective analysis of veteransPopulation of veteransAnalysis of veteransICD-10 codesPsychiatric adverse effectsAnti-seizure medicinesVA systemICD-10Neurology noteMale participantsVeteransCognitive adverse effectsSafety analyticsIntegrated programCognitive disordersAdverse effectsORQ1-Q3Treatment initiationChronic neurological disorderExercise cautionEffects of brivaracetamPopulationMedian ageHuman 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 studyPerformance of the Charlson and Elixhauser Comorbidity Index Varies With the Type of Minimally Invasive Thoracic Surgery
Kim A, Ding L, Udelsman B, Atay S, Wightman S, Harano T, Rosenberg G, Blasberg J, Boffa D, Kim A. Performance of the Charlson and Elixhauser Comorbidity Index Varies With the Type of Minimally Invasive Thoracic Surgery. World Journal Of Surgery 2025, 49: 1418-1431. PMID: 40261152, DOI: 10.1002/wjs.12599.Peer-Reviewed Original ResearchConceptsMinimally invasive pulmonary lobectomyMinimally invasive Ivor Lewis esophagectomyArea under the receiver operating characteristic curveThoracic surgeryPredicting mortalityMinimally invasive thoracic surgeryPredicting short-term outcomesUtilization Project National Readmission DatabasePredicting long-term outcomesInvasive thoracic surgeryIvor Lewis esophagectomyMultivariate logistic regression modelReceiver operating characteristic curveShort-term outcomesLong-term outcomesNational Readmission DatabasePulmonary lobectomyInternational Classification of DiseasesSurgery typeClinical prognosisLogistic regression modelsComorbidity indexNonroutine dischargeICD-10 codesSurgery302 Trends in Readmission Following Posterior Spinal Fusion for Adolescent Idiopathic Scoliosis
Elsamadicy A, Sayeed S, Hengartner A, Serrato P, Belkasim S, Sadeghzadeh S, Ahsan N, Tuason D, DiLuna M. 302 Trends in Readmission Following Posterior Spinal Fusion for Adolescent Idiopathic Scoliosis. Neurosurgery 2025, 71: 75-75. DOI: 10.1227/neu.0000000000003360_302.Peer-Reviewed Original ResearchAdolescent idiopathic scoliosisPosterior spinal fusionNationwide Readmissions DatabaseLength of stayPostoperative painIdiopathic scoliosisAdolescent patientsAdverse eventsReadmission cohortsPosterior spinal fusion for Adolescent Idiopathic ScoliosisRetrospective cohort studyPostoperative adverse eventsInitial length of stayPatient demographic informationHospital resource utilizationUrban non-teaching hospitalsHigher mean costSpinal fusionCohort studyReadmission groupMultivariate analysisICD-10 codesReadmissions DatabasePatientsComorbidities837 Impact of Autologous, Non-Autologous, Synthetic Tissue Substitutes in Burns 2016-2021: Analysis of National Burn Repository
Crombie R, Witherel C. 837 Impact of Autologous, Non-Autologous, Synthetic Tissue Substitutes in Burns 2016-2021: Analysis of National Burn Repository. Journal Of Burn Care & Research 2025, 46: s282-s282. PMCID: PMC11958335, DOI: 10.1093/jbcr/iraf019.368.Peer-Reviewed Original ResearchNon-autologousLong-term safetyHealth economic implicationsBurn careClinical benefitPatient cohortTissue substituteClinical studiesBurn patientsICD-10 codesNational Burn RepositoryPatientsThermal injuryCare algorithmInvestigated groupsBurn RepositoryICD-10Procedure codesTissueImpact of cAMPSkin substitutes
2024
HEALTH PROMOTION BEHAVIORS AMONG SPOUSAL CAREGIVERS WITH HIGH DAILY MANAGEMENT CHRONIC CONDITIONS
Cho J, Horstman M, Stevens A, Sands L, Allore H. HEALTH PROMOTION BEHAVIORS AMONG SPOUSAL CAREGIVERS WITH HIGH DAILY MANAGEMENT CHRONIC CONDITIONS. Innovation In Aging 2024, 8: 1060-1060. PMCID: PMC11693161, DOI: 10.1093/geroni/igae098.3409.Peer-Reviewed Original ResearchIntensity of caregivingHealth-promoting behaviorsSpousal caregiversPhysical activityChronic conditionsPromoting behaviorsManaging chronic conditionsDaily self-managementICD-10 codesFamily caregiversChronic obstructive pulmonary diseaseCaregiver distressCaregiving intensityCaregiving roleHealth behaviorsSelf-managementObstructive pulmonary diseaseDisease trajectoryCaregiversHealth responseStress managementIschemic heart diseaseICD-10Reduce burdenHealthValidating International Classification of Diseases Code 10th Revision algorithms for accurate identification of pulmonary embolism
Bikdeli B, Khairani C, Bejjani A, Lo Y, Mahajan S, Caraballo C, Jimenez J, Krishnathasan D, Zarghami M, Rashedi S, Jimenez D, Barco S, Secemsky E, Klok F, Hunsaker A, Aghayev A, Muriel A, Hussain M, Appah-Sampong A, Lu Y, Lin Z, Mojibian H, Aneja S, Khera R, Konstantinides S, Goldhaber S, Wang L, Zhou L, Monreal M, Piazza G, Krumholz H, Investigators P. Validating International Classification of Diseases Code 10th Revision algorithms for accurate identification of pulmonary embolism. Journal Of Thrombosis And Haemostasis 2024, 23: 556-564. PMID: 39505153, DOI: 10.1016/j.jtha.2024.10.013.Peer-Reviewed Original ResearchDischarge codesInternational ClassificationICD-10Yale New Haven Health SystemPositive predictive valueMass General Brigham hospitalsAccuracy of ICD-10ICD-10 codesPulmonary embolismHealth systemImage codingElectronic databasesF1 scorePre-specified protocolExcellent positive predictive valueIndependent physiciansHighest F1 scoreIdentification of pulmonary embolismAcute pulmonary embolismSecondary codePE codesScoresIdentified PERevised algorithmMediators of sex-specific differences in rates of stroke mimics among patients treated with intravenous thrombolysis: A nationwide analysis of 174,995 patients
Chen H, Khunte M, Colasurdo M, Chaturvedi S, Malhotra A, Gandhi D. Mediators of sex-specific differences in rates of stroke mimics among patients treated with intravenous thrombolysis: A nationwide analysis of 174,995 patients. Journal Of Stroke And Cerebrovascular Diseases 2024, 33: 108021. PMID: 39303869, DOI: 10.1016/j.jstrokecerebrovasdis.2024.108021.Peer-Reviewed Original ResearchRate of migraineNo cerebral infarctionPatients treated with intravenous thrombolysisRisk factorsIntravenous thrombolysisStroke mimicsMediation analysisICD-10 codesVascular risk factorsRetrospective cohort studyNational Inpatient Sample databaseIVT-treated patientsRates of stroke mimicsInpatient Sample databaseICD-10Cohort studyFemale patientsDemographic informationSex-specific differencesNationwide analysisCerebral infarctionPatientsSample databaseWomenMigrainePerspectives 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 benefitsMoving Beyond International Classification of Diseases Codes for the Retrospective Identification of Gender Diverse Veterans
DeVone F, Jutkowitz E, Halladay C, Kauth M, Cohen A, Tsai J. Moving Beyond International Classification of Diseases Codes for the Retrospective Identification of Gender Diverse Veterans. LGBT Health 2024, 12: 71-76. PMID: 38656904, DOI: 10.1089/lgbt.2023.0327.Peer-Reviewed Original ResearchSelf-reported gender identityGender identityVeterans Health AdministrationICD-10 codesSelf-reported genderTransgender careICD-10Health recordsInternational ClassificationDiverse veteransHealth needsInternational Classification of Diseases codesClassification of Diseases codesElectronic health recordsTGDIdentityGenderClinical encountersHealth AdministrationDiseases codesHealth conditionsSelf-reportVeteransTransgenderResults:</i></b>87 Impact of Skin Substitute Use for Burns: An Analysis of the ABA National Burn Repository
Crombie R, Witherel C. 87 Impact of Skin Substitute Use for Burns: An Analysis of the ABA National Burn Repository. Journal Of Burn Care & Research 2024, 45: 69-70. PMCID: PMC11023360, DOI: 10.1093/jbcr/irae036.086.Peer-Reviewed Original ResearchLength of stayOutcome measuresLong-term safetySkin substitutesDay of admissionHealth economic implicationsDepth of burnInsufficient autograftManagement of thermal injuriesSubstitution patientsSurviving patientsPatient demographicsPatient cohortInhalation injuryNormal patientsICD-10 codesSize burnsTBSA burnSubstitute useBurn sizePatientsNational Burn RepositoryThermal injuryRegenerative graftsICD-9Identifying incarceration status in the electronic health record using large language models in emergency department settings
Huang T, Socrates V, Gilson A, Safranek C, Chi L, Wang E, Puglisi L, Brandt C, Taylor R, Wang K. Identifying incarceration status in the electronic health record using large language models in emergency department settings. Journal Of Clinical And Translational Science 2024, 8: e53. PMID: 38544748, PMCID: PMC10966832, DOI: 10.1017/cts.2024.496.Peer-Reviewed Original ResearchElectronic health recordsNatural language processingHealth recordsIncarceration statusSignificant social determinant of healthSocial determinants of healthClinic electronic health recordsEHR databasePopulation health initiativesDeterminants of healthMitigate health disparitiesRacial health inequitiesEmergency department settingICD-10 codesHealth inequalitiesNatural language processing modelsHealth disparitiesHealth initiativesDepartment settingEmergency departmentSystem interventionsICD-10Clinical notesStudy populationLanguage modelSex Discrepancies in the Population Incidence of Stroke and Hemorrhage Related to Atrial Fibrillation or Flutter
Khunte M, Chen H, Colasurdo M, Chaturvedi S, Malhotra A, Gandhi D. Sex Discrepancies in the Population Incidence of Stroke and Hemorrhage Related to Atrial Fibrillation or Flutter. Cerebrovascular Diseases 2024, 54: 53-58. PMID: 38432203, DOI: 10.1159/000538108.Peer-Reviewed Original ResearchAF-related ischemic strokeIschemic strokeAssociated with higher stroke riskIschemic stroke hospitalizationsRisk factorsAF-related strokeICD-10 codesRisk of hospitalizationVascular risk factorsRates of anticoagulant useHigher stroke riskIncidence of hospitalizationNational Inpatient SampleHigher stroke severityUnited States Census BureauIncidence of strokeAtrial fibrillationPatient demographic informationStroke hospitalizationsStroke characteristicsRelative riskICD-10Population incidenceRates of large vessel occlusionsRisk of morbidityTrends in cerebral venous thrombosis before and during the COVID-19 pandemic: Analysis of the National Inpatient Sample
Klein P, Shu L, Qureshi M, Abdalkader M, Field T, Siegler J, Zhou L, Patel K, Al Kasab S, de Havenon A, Yaghi S, Qureshi A, Nguyen T. Trends in cerebral venous thrombosis before and during the COVID-19 pandemic: Analysis of the National Inpatient Sample. Journal Of Stroke And Cerebrovascular Diseases 2024, 33: 107651. PMID: 38408574, DOI: 10.1016/j.jstrokecerebrovasdis.2024.107651.Peer-Reviewed Original ResearchCerebral venous thrombosisIn-hospital mortalityAssociated with in-hospital mortalityCVT incidenceNational Inpatient SampleIntracranial hemorrhageVenous thrombosisAtrial fibrillationMale sexPredictors of in-hospital mortalityAll-cause in-hospital mortalityIncidence of cerebral venous thrombosisInpatient SampleIncreasing ageStroke diagnosisCOVID-19 pandemicNationally representative estimatesICD-10 codesQuartile of incomeCensus dataMedian NIHSSProthrombotic stateHematological conditionsJoinpoint regressionMultivariate analysis
2023
Characterizing Outpatient Classical Hematology Referrals at an Academic Healthcare System
Chang E, Kress A, Ackermann F, Fradkin M, Halene S, Herbert E, Shomsky L, Sudhakar L, Lee A, Bona R. Characterizing Outpatient Classical Hematology Referrals at an Academic Healthcare System. Blood 2023, 142: 7196. DOI: 10.1182/blood-2023-186065.Peer-Reviewed Original ResearchIron deficiency anemiaAdvanced practice providersManual chart reviewChart reviewDeficiency anemiaHematology referralCommon diagnosisNew patientsAnemia groupDiagnosis levelClinical sitesIron deficiency groupAcademic healthcare systemHealthcare systemICD-10 codesNew patient encountersICD diagnosis codesSubstantial patient populationLevel 1 casesLevel 1Available cliniciansThrombosis groupAdditional patientsLevel 3New referralsYears of life lost due to deaths of despair and COVID-19 in the United States in 2020: patterns of excess mortality by gender, race and ethnicity
Entrup P, Brodsky L, Trimble C, Garcia S, Mohamed N, Deaner M, Martell J, Teater J, Jordan A, Tetrault J, Hall O. Years of life lost due to deaths of despair and COVID-19 in the United States in 2020: patterns of excess mortality by gender, race and ethnicity. International Journal For Equity In Health 2023, 22: 161. PMID: 37612748, PMCID: PMC10464324, DOI: 10.1186/s12939-023-01949-9.Peer-Reviewed Original ResearchMeSH KeywordsAlcohol-Related DisordersAmerican Indian or Alaska NativeAsianBlack or African AmericanCause of DeathCost of IllnessCOVID-19Cross-Sectional StudiesDrug OverdoseEthanolEthnicityFemaleHealth InequitiesHispanic or LatinoHumansLife ExpectancyMaleMortality, PrematureNative Hawaiian or Pacific IslanderRace FactorsSex FactorsSocial Determinants of HealthSuicideUnited StatesWhiteConceptsYears of lifeDeaths of despairCOVID-19Mental health workforce developmentCross-sectional studyICD-10 codesCause of deathCOVID-19 mortalityCDC WONDER databaseSubstance use treatmentHealth workforce developmentLatino personsExcess mortalityMortality burdenMore deathsDeath recordsHigh mortalityBehavioral health researchSocial determinantsGreater burdenYLLUse treatmentConclusionsThis studyPandemic onsetMortality1184-P: No Increased Risk of Gestational Diabetes Mellitus (GDM) Diagnosis after COVID-19 Vaccination
VESCO K, DENOBLE A, LIPKIND H, KHARBANDA E, DESILVA M, DALEY M, GETAHUN D, ZERBO O, NALEWAY A, JACKSON L, WILLIAMS J, BOYCE T, FULLER C, VAZQUEZ BENITEZ G. 1184-P: No Increased Risk of Gestational Diabetes Mellitus (GDM) Diagnosis after COVID-19 Vaccination. Diabetes 2023, 72 DOI: 10.2337/db23-1184-p.Peer-Reviewed Original ResearchCOVID-19 vaccinationCOVID-19 vaccineRisk of GDMCOVID-19 vaccine dosesNon-Hispanic whitesGDM diagnosisVaccine dosesDisease controlGestational diabetes mellitus diagnosisDe novo diabetesRate of GDMDiagnosis of GDMVaccine Safety DatalinkPfizer Inc.Confidence intervalsICD-10 codesNon-Hispanic blacksDiabetes mellitus diagnosisOutcomes Research InstituteNon-Hispanic AsiansHealth care systemNonpregnant adultsUnvaccinated individualsIncreased riskRelative riskRacial and Ethnic Bias in the Diagnosis of Alcohol Use Disorder in Veterans
Vickers-Smith R, Justice A, Becker W, Rentsch C, Curtis B, Fernander A, Hartwell E, Ighodaro E, Kember R, Tate J, Kranzler H. Racial and Ethnic Bias in the Diagnosis of Alcohol Use Disorder in Veterans. American Journal Of Psychiatry 2023, 180: 426-436. PMID: 37132202, PMCID: PMC10238581, DOI: 10.1176/appi.ajp.21111097.Peer-Reviewed Original ResearchConceptsAlcohol use disorderAlcohol consumptionAUD diagnosisHispanic veteransWhite veteransUse disordersPrevalence of AUDAlcohol Use Disorders Identification TestUnhealthy alcohol useICD-10 codesAUDIT-C scoresSelf-reported alcohol consumptionAlcohol-related disordersDiagnosis of AUDDisorders Identification TestMaximum scoreSelf-reported raceElectronic health recordsPrimary outcomeAlcohol consumption levelsPotential confoundersHigh prevalenceMillion Veteran ProgramGreater oddsICD-9Is cerebral palsy associated with successful ureteral access during the initial attempt at ureteroscopy for urolithiasis in children and young adults?
Bortnick E, Kurtz M, Cilento B, Nelson C. Is cerebral palsy associated with successful ureteral access during the initial attempt at ureteroscopy for urolithiasis in children and young adults? Journal Of Pediatric Urology 2023, 19: 369.e1-369.e6. PMID: 37149475, PMCID: PMC10524291, DOI: 10.1016/j.jpurol.2023.04.014.Peer-Reviewed Original ResearchConceptsCerebral palsyICD-10 codesUreteral accessTract levelICD-10Neuromuscular conditionsPatient factorsPediatric patientsPre-stentingYoung adultsRenal stone locationStatistically significant differenceAssociation of CPHigher SUAClinical experiencePreoperative counselingStone locationSurgical historyStaging procedureRenal stonesSurgical planningPatientsSignificant differenceChildrenUreteroscopyDeveloping Validated Tools to Identify Pulmonary Embolism in Electronic Databases: Rationale and Design of the PE-EHR+ Study
Bikdeli B, Lo Y, Khairani C, Bejjani A, Jimenez D, Barco S, Mahajan S, Caraballo C, Secemsky E, Klok F, Hunsaker A, Aghayev A, Muriel A, Wang Y, Hussain M, Appah-Sampong A, Lu Y, Lin Z, Aneja S, Khera R, Goldhaber S, Zhou L, Monreal M, Krumholz H, Piazza G. Developing Validated Tools to Identify Pulmonary Embolism in Electronic Databases: Rationale and Design of the PE-EHR+ Study. Thrombosis And Haemostasis 2023, 123: 649-662. PMID: 36809777, PMCID: PMC11200175, DOI: 10.1055/a-2039-3222.Peer-Reviewed Original ResearchConceptsElectronic health recordsNLP algorithmNatural language processing toolsLanguage processing toolsPrincipal discharge diagnosisICD-10 codesDischarge diagnosisNLP toolsChart reviewHealth systemProcessing toolsYale New Haven Health SystemPatient identificationElectronic databasesHealth recordsData validationHigh-risk PEPulmonary Embolism ResearchSecondary discharge diagnosisIdentification of patientsManual chart reviewNegative predictive valueCodeRadiology reportsAlgorithm
This site is protected by hCaptcha and its Privacy Policy and Terms of Service apply