2025
Timing of repeat epinephrine to inform paediatric anaphylaxis observation periods: a retrospective cohort study
Dribin T, Sampson H, Zhang Y, Boyd S, Zhang N, Michelson K, Neuman M, Brousseau D, Mistry R, Freedman S, Aronson P, Bergmann K, Boswell B, Chinta S, Chua W, Cohen A, Cohen J, Daggett A, Davis J, Freeman J, Khanna K, Knoles C, Kwan K, Larsen C, Lee J, Lubell T, Metcalf A, Moake M, Nesiama J, Ngo T, Pulcini C, Russo C, Singh N, Srivastava G, Strutt J, Thapar V, Vander Wyst C, Walsh P, Wolnerman Y, Schnadower D, Academy of Pediatrics P, Kanngiesser A, McGarghan F, Dulchavsky A, Costalez J, DesPain A, Armanious M, Haghnazarian E, Brown-Whitehorn T, Weigert R, Dayan P, Meltzer J, Chowdhury N, Benedetti J, Sinziana C, Handorf A, Ruthford M, Devens M, Mecham C, Holland J, Casas T, Brown J, Panda P, Morrow A, Maready M, Nathani Y, Stevens M, Abraham G, Yen K, Cooper-Sood J, Woolf S. Timing of repeat epinephrine to inform paediatric anaphylaxis observation periods: a retrospective cohort study. The Lancet Child & Adolescent Health 2025, 9: 484-496. PMID: 40506197, DOI: 10.1016/s2352-4642(25)00139-7.Peer-Reviewed Original ResearchConceptsElectronic medical recordsEmergency departmentRetrospective cohort studyCohort studyMedical recordsDocumentation of symptomsCardiovascular involvementHealth-care facilitiesEpinephrine doseAcute allergic reactionsNational Institutes of HealthCumulative incidenceNational Center for Advancing Translational SciencesInstitutes of HealthChildren aged 6 monthsClinical ModificationHospital wardsIncidence rateICD-10Observation periodPrimary outcomeAllergic reactionsSecondary to medicationsInitiation to discontinuationKaplan-Meier analysisExamining 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 ageUnplanned Readmission Rate Before Interval Appendectomy After Nonoperative Management of Complicated Appendicitis.
Hellmann Z, Rehman S, Hornick M, Solomon D. Unplanned Readmission Rate Before Interval Appendectomy After Nonoperative Management of Complicated Appendicitis. Journal Of The American College Of Surgeons 2025, 240: 908-913. PMID: 39655815, DOI: 10.1097/xcs.0000000000001255.Peer-Reviewed Original ResearchNonoperative management of complicated appendicitisManagement of complicated appendicitisPediatric Health Information SystemComplicated appendicitisNonoperative managementInterval appendectomyIndex admissionRecurrent appendicitisReadmission ratesRisk of recurrent appendicitisKaplan-Meier survival analysisKaplan-Meier analysisConsecutive daysICD-10 diagnosis codesReceiving antibioticsAppendectomyAppendicitisClinical equipoisePatientsSurvival analysisNatural historyDay patientsDiagnosis codesAdmissionICD-10Human 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 studyUsing Electronic Health Records to Classify Cancer Site and Metastasis
Kroenke K, Ruddy K, Pachman D, Grzegorczyk V, Herrin J, Rahman P, Tobin K, Griffin J, Chlan L, Austin J, Ridgeway J, Mitchell S, Marsolo K, Cheville A. Using Electronic Health Records to Classify Cancer Site and Metastasis. Applied Clinical Informatics 2025, 16: 556-568. PMID: 40533095, PMCID: PMC12176508, DOI: 10.1055/a-2544-3117.Peer-Reviewed Original ResearchConceptsCancer registry dataCancer sitesNumerical rating scaleCancer symptomsRegistry dataInternational Statistical Classification of DiseasesCollaborative care approachStatistical Classification of DiseasesElectronic health recordsCancer symptom controlMedical oncology clinicInternational Statistical ClassificationClassification of DiseasesDiverse cohort of patientsCancer RegistryCare approachPrevalent codesHealth recordsPragmatic trialSite diagnosisHealth systemEHR dataOncology clinicDiagnostic codesICD-10837 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 substitutesP-1950. An estimate of pediatric lives saved due to non-pharmacologic interventions during the early COVID-19 pandemic
Faust J, Chen A, Renton B, Du C, Li S, Lin Z, Krumholz H. P-1950. An estimate of pediatric lives saved due to non-pharmacologic interventions during the early COVID-19 pandemic. Open Forum Infectious Diseases 2025, 12: ofae631.2109. PMCID: PMC11778407, DOI: 10.1093/ofid/ofae631.2109.Peer-Reviewed Original ResearchAll-causeICD-10 classificationPediatric deathsCDC WONDERMedical mortalityConfidence intervalsExcess mortalityMedical deathsICD-10Age groupsPandemic mitigation measuresCOVID-19 pandemicNon-pharmacological interventionsChildren aged 0Residents aged 0All-cause mortalityAll-cause excess mortalityChildren aged 1US childrenCOVID-19 pandemic periodExcess deathsPediatric mortalityChildhood mortalityAged 0COVID-19Isolated subsegmental pulmonary embolism identification based on international classification of diseases (ICD)-10 codes and imaging reports
Rashedi S, Bejjani A, Hunsaker A, Aghayev A, Khairani C, McGonagle B, Lo Y, Mahajan S, Caraballo C, Jimenez J, Krishnathasan D, Zarghami M, Monreal M, Barco S, Secemsky E, Klok F, Muriel A, Hussain M, Appah-Sampong A, Rahaghi F, Sadeghipour P, Lin Z, Mojibian H, Aneja S, Konstantinides S, Goldhaber S, Wang L, Zhou L, Jimenez D, Krumholz H, Piazza G, Bikdeli B, Investigators T. Isolated subsegmental pulmonary embolism identification based on international classification of diseases (ICD)-10 codes and imaging reports. Thrombosis Research 2025, 247: 109271. PMID: 39862754, DOI: 10.1016/j.thromres.2025.109271.Peer-Reviewed Original ResearchInternational Classification of Diseases (ICD)-10 codesICD-10International ClassificationPositive predictive valueDischarge diagnosisAccuracy of ICD-10Radiology reportsPrincipal discharge diagnosisSecondary discharge diagnosisIsolated subsegmental pulmonary embolismMedical records of adult patientsHealth systemRecords of adult patientsPredictive valueBlinded re-evaluationExpert radiologistsSubsegmental pulmonary embolismQuality improvementMedical recordsChart reviewPresence of PEProximal PEPulmonary embolismAdult patientsImaging Reporting
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 burdenHealthAccuracy 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-10Validating 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 algorithmEvaluating 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 evaluationW32. A GENOME-WIDE ASSOCIATION STUDY OF BIPOLAR DISORDER FROM INDIA
Mahadevan J, Holla B, Ganesh S, Shankarappa B, Paul P, Sud R, Jain S, Purushottam M, Viswanath B. W32. A GENOME-WIDE ASSOCIATION STUDY OF BIPOLAR DISORDER FROM INDIA. European Neuropsychopharmacology 2024, 87: 118. DOI: 10.1016/j.euroneuro.2024.08.241.Peer-Reviewed Original ResearchGenome-wide association studiesGenomic risk lociRisk lociAssociation studiesGenome-wide association study of BDGenome wide association studiesAncestry principal componentsSevere mental illnessWhole-genome sequencingTissue expression analysisBiology of BdPatients of European ancestryBipolar disorderHRC panelGenome sequenceMental illnessAncestry samplesGenomic methodsEpisodes of depressionAllele dosageGenetic studiesEuropean ancestryICD-10Outpatient clinicTrained psychiatristsMediators 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 databaseWomenMigraineThe Study of the Epidemiology of Pediatric Hypertension Registry (SUPERHERO): rationale and methods
South A, Giammattei V, Bagley K, Bakhoum C, Beasley W, Bily M, Biswas S, Bridges A, Byfield R, Campbell J, Chanchlani R, Chen A, McGowan L, Downs S, Fergeson G, Greenberg J, Hill-Horowitz T, Jensen E, Kallash M, Kamel M, Kiessling S, Kline D, Laisure J, Liu G, Londeree J, Lucas C, Mannemuddhu S, Mao K, Misurac J, Murphy M, Nugent J, Onugha E, Pudupakkam A, Redmond K, Riar S, Sethna C, Siddiqui S, Thumann A, Uss S, Vincent C, Viviano I, Walsh M, White B, Woroniecki R, Wu M, Yamaguchi I, Yun E, Weaver D. The Study of the Epidemiology of Pediatric Hypertension Registry (SUPERHERO): rationale and methods. American Journal Of Epidemiology 2024, 193: 1650-1661. PMID: 38881045, PMCID: PMC11637526, DOI: 10.1093/aje/kwae116.Peer-Reviewed Original ResearchManual record reviewHypertensive disordersRecord reviewElectronic health record dataICD-10Health record dataInternational Classification of Diseases diagnostic codesReduce CVD burdenPrevalence of hypertensionIncreased prevalence of hypertensionCardiovascular mortality ratesCVD burdenBlood pressureInternational ClassificationDiagnostic codesClinical careRecord dataInclusion criteriaLife courseIncreased prevalencePediatric hypertensionLong-term consequencesMortality rateEpidemiologyBiomedical informaticsAnkle fracture open reduction and internal fixation in patients with cerebral palsy
Dhodapkar M, Yang A, Jiang W, Halperin S, Frumberg D, Grauer J. Ankle fracture open reduction and internal fixation in patients with cerebral palsy. Developmental Medicine & Child Neurology 2024, 66: 1496-1501. PMID: 38773804, DOI: 10.1111/dmcn.15958.Peer-Reviewed Original ResearchAnkle fracture ORIFCerebral palsyAnkle fracturesElixhauser Comorbidity IndexInternational Classification of Diseases (ICD)-9 and ICD-10Increased oddsIsolated ankle fracturesEmergency department visitsClosed ankle fracturesInternal fixationProlonged lengthMultivariate logistic regressionAnkle fracture open reductionProlonged length of stayDepartment visitsLength of stayInternational ClassificationAdverse eventsStudy of adult patientsFracture open reductionMinor adverse eventsICD-10Logistic regressionORAnkleHeat and hospital admission via the emergency department for people with intellectual disability, autism, and mental disorders in South Korea: a nationwide, time-stratified, case-crossover study
Park J, Kim A, Bell M, Kim H, Lee W. Heat and hospital admission via the emergency department for people with intellectual disability, autism, and mental disorders in South Korea: a nationwide, time-stratified, case-crossover study. The Lancet Psychiatry 2024, 11: 359-367. PMID: 38631786, DOI: 10.1016/s2215-0366(24)00067-1.Peer-Reviewed Original ResearchConceptsIntellectual disabilityMental disordersMental illnessIdentified intellectual disabilityControl group of peopleExperience of mental illnessAutismICD-10DisordersDisabilitySouth KoreaIllnessIndividualsNational Health Insurance databaseGroup of peopleIncome groupsLow-income statusRural areasAdaptation policiesPeopleFemale individualsControl groupKorean translationED admissionEmergency departmentExamination of Pain Comorbid Diagnoses in the Inpatient Rehabilitation Population Across All Impairment Groups
Curry Z, Andrew M, Chiang M, Goldstein R, Zafonte R, Ryan C, Coleman B, Schneider J. Examination of Pain Comorbid Diagnoses in the Inpatient Rehabilitation Population Across All Impairment Groups. American Journal Of Physical Medicine & Rehabilitation 2024, 103: 1065-1072. PMID: 38709650, PMCID: PMC11602001, DOI: 10.1097/phm.0000000000002512.Peer-Reviewed Original ResearchInpatient rehabilitation patientsRehabilitation patientsPain diagnosisImpairment groupInpatient rehabilitation populationRehabilitation outcomesRehabilitation populationPain managementICD-10RehabilitationJoint painFemale sexDemographic dataPainClinical dataPatientsMultiple traumaDiagnosisImpairmentPrevalencePopulationOddsGroupSexOutcomesMoving 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>1087 Recognizing Sleep Disorders in the US Military Health System: Differences Between On-base and Private Sector Care
Capaldi V, Williams S, Thomas C, Herrin J, Hong A, Funk W, Collen J, Stryckman B, Albrecht J, Wickwire E. 1087 Recognizing Sleep Disorders in the US Military Health System: Differences Between On-base and Private Sector Care. Sleep 2024, 47: a467-a467. DOI: 10.1093/sleep/zsae067.01087.Peer-Reviewed Original ResearchObstructive sleep apneaMilitary Data RepositoryMilitary Health System beneficiariesSleep disordersMilitary Health SystemBetween-group differencesUS Military Health SystemSleep carePsychiatric comorbiditiesPrivate sector careRecognize sleep disordersComorbid sleep disordersICD-10 diagnostic codesSleep apneaClinical characteristicsDiagnosis of insomniaDiagnostic codesBetween-groupDirect careComorbiditiesInsomniaDisordersSleepICD-10Active duty personnel
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