2025
Update on the utilization of complementary therapies by adolescents with asthma in an urban population
Soffer G, Feinberg T, Kroll H, Reznik M. Update on the utilization of complementary therapies by adolescents with asthma in an urban population. Journal Of Asthma 2025, ahead-of-print: 1-9. PMID: 40040497, DOI: 10.1080/02770903.2025.2475451.Peer-Reviewed Original ResearchAsthma Control TestCAM useUtilization of complementary therapiesPrevalence of CAM usePrescription adherenceEfficacy of CAMHealth-promoting behaviorsPrimary care clinicsElectronic health recordsCAM utilizationCare clinicsActivity prescriptionHealth recordsAlternative medicineComplementary therapyAsthma managementLack of associationOutpatient specialtyAsthma controlSelf-reportAsthma severityLogistic regressionMind-bodyUrban adolescentsDemographic informationAssociation of delayed asthma diagnosis with asthma exacerbations in children
Wi C, Ryu E, King K, Kwon J, Bublitz J, Park M, Chiarella S, Greenwood J, Pongdee T, Myers L, Nordlund B, Sohn S, Sagheb E, Kshatriya B, Watson D, Liu H, Sheares B, Davis C, Schulz W, Juhn Y. Association of delayed asthma diagnosis with asthma exacerbations in children. Journal Of Allergy And Clinical Immunology Global 2025, 4: 100409. PMID: 40008091, PMCID: PMC11851198, DOI: 10.1016/j.jacig.2025.100409.Peer-Reviewed Original ResearchElectronic health recordsDiagnosis of asthmaAsthma diagnosisAsthma exacerbationsRisk of AEPredetermined Asthma CriteriaDiagnosis of childhood asthmaChildhood asthma managementIncreased riskCox proportional hazards modelsIncreased risk of AECare qualityAsthma outcomesHealth recordsProportional hazards modelAsthma managementChildhood asthmaBirth cohortAsthma severityDiagnosis statusIndex dateIdentifying childrenPrimary outcomeNatural language processing algorithmsHazards model
2024
Concordance of provider chart notation and guideline-based classification of asthma severity
Kroll H, Feinberg T, Soffer G, Reznik M. Concordance of provider chart notation and guideline-based classification of asthma severity. Journal Of Asthma 2024, 61: 1402-1411. PMID: 38717912, DOI: 10.1080/02770903.2024.2353106.Peer-Reviewed Original ResearchAsthma severity classificationChart notationUrban primary careClassification of asthma severityFair-to-goodWeighted kappa coefficientGuideline-based criteriaPrimary careNAEPP guidelinesDiagnosed asthmaConvenience sampleGuideline-basedAsthma criteriaPositive predictive valueAsthma severityAssess concordanceGuideline classificationPhysiciansEvaluate concordanceSeverity classificationClinic patientsPrescribed treatmentNAEPPMcNemar testKappa coefficient
2023
Genetic analyses of chr11p15.5 region identify MUC5AC-MUC5B associated with asthma-related phenotypes
Li X, Li H, Christenson S, Castro M, Denlinger L, Erzurum S, Fahy J, Gaston B, Israel E, Jarjour N, Levy B, Mauger D, Moore W, Zein J, Kaminski N, Wenzel S, Woodruff P, Bleecker E, Meyers D, Program F. Genetic analyses of chr11p15.5 region identify MUC5AC-MUC5B associated with asthma-related phenotypes. Journal Of Asthma 2023, 60: 1824-1835. PMID: 36946148, PMCID: PMC10524756, DOI: 10.1080/02770903.2023.2193631.Peer-Reviewed Original ResearchLow CC16 mRNA Expression Levels in Bronchial Epithelial Cells Are Associated with Asthma Severity.
Li X, Guerra S, Ledford JG, Kraft M, Li H, Hastie AT, Castro M, Denlinger LC, Erzurum SC, Fahy JV, Gaston B, Israel E, Jarjour NN, Levy BD, Mauger DT, Moore WC, Zein J, Kaminski N, Wenzel SE, Woodruff PG, Meyers DA, Bleecker ER. Low CC16 mRNA Expression Levels in Bronchial Epithelial Cells Are Associated with Asthma Severity. American Journal Of Respiratory And Critical Care Medicine 2023, 207: 438-451. PMID: 36066606, PMCID: PMC9940145, DOI: 10.1164/rccm.202206-1230oc.Peer-Reviewed Original ResearchConceptsBronchial epithelial cellsMRNA expression levelsAsthma severityT2 biomarkersAsthma susceptibilityT2 inflammationExpression levelsSevere Asthma Research ProgramSystemic corticosteroid useLower pulmonary functionEpithelial cellsAsthma-related phenotypesCorticosteroid useAsthma exacerbationsPulmonary functionAsthma developmentAsthma endotypesAsthma progressionInflammation biomarkersInflammation genesHost defenseCC16Th2 genesSeverityBiomarkers
2020
A Network of Sputum MicroRNAs is Associated with Neutrophilic Airway Inflammation in Asthma
Gomez JL, Chen A, Diaz MP, Zirn N, Gupta A, Britto C, Sauler M, Yan X, Stewart E, Santerian K, Grant N, Liu Q, Fry R, Rager J, Cohn L, Alexis N, Chupp GL. A Network of Sputum MicroRNAs is Associated with Neutrophilic Airway Inflammation in Asthma. American Journal Of Respiratory And Critical Care Medicine 2020, 0: 51-64. PMID: 32255668, PMCID: PMC7328332, DOI: 10.1164/rccm.201912-2360oc.Peer-Reviewed Original ResearchConceptsEndoplasmic reticulum stressAirway inflammationNeutrophil countClinical featuresT-helper cell type 17Neutrophilic airway inflammationReticulum stressSputum of subjectsLung function impairmentHistory of hospitalizationNumber of neutrophilsPeripheral blood neutrophilsSputum of patientsMicroRNA expressionAsthma severityTh17 pathwayFunction impairmentAirway samplesMicroRNA networkBlood neutrophilsOzone exposureAsthmaSputumCellular sourceClinical phenotypeDevelopment of the Asthma Impairment and Risk Questionnaire (AIRQ): A Composite Control Measure
Murphy K, Chipps B, Beuther D, Wise R, McCann W, Gilbert I, Eudicone J, Gandhi H, Harding G, Coyne K, Zeiger R, Board P, Kobernick A, Mohammad A, Cherry A, Fein A, Gaines A, Ramsey A, Michaud A, Palmer A, Kim A, Smith A, White A, Ricci A, Kettelhut B, Modena B, Stone B, Rolston B, Schnapf B, Krajicek B, Kraft C, Hopkins C, Natalie C, Anderson C, Czajkowski C, Arce D, Hamlin D, Hill D, Mares D, Pham D, Liao D, Simmons D, Johnson D, Jhaveri D, Maselli D, Kerwin E, Schuman E, Sher E, Bleecker E, Rakowski E, Hsu F, Averill F, Barsanti F, Gross G, Chupp G, Head G, Nasir H, Lee H, Barjaktarevic I, Cook J, Krainson J, Pearl J, Bellak J, Perez-Fernandez J, Rehm J, Trevor J, Most J, Hanson J, Blessing-Moore J, Biller J, Gedell J, Southard J, Chancellor J, Ilowite J, Romeo J, Mercado J, Fisher J, Greiwe J, Gregory K, Nadeau K, Shenoy K, Tan L, Stefanowicz L, Humes L, Bowers L, O’Connor M, Perez M, White M, Hegewald M, Wilson M, Sikora M, Morganroth M, Smith M, Farooqui N, Lesch N, Jain N, Parikh N, Hartog N, Luthin P, Stewart P, O’Connor P, Schochet P, Goldberg P, Patel P, Chinthrajah R, Sidhu R, Ayinla R, Brown R, Stadtler R, Wachs R, Balkissoon R, Duplantier R, Puente R, Settipane R, Mustafa S, Surani S, Jawad S, Adams S, Villegas S, Al-Farra S, Subramanian S, Bains S, Kelsen S, Wise S, Estrella-Eades S, Smith S, Qureshi T, Chen T, Kelbel T, Miller T, Jain V, Soong W, Soler X, Mattar Z. Development of the Asthma Impairment and Risk Questionnaire (AIRQ): A Composite Control Measure. The Journal Of Allergy And Clinical Immunology In Practice 2020, 8: 2263-2274.e5. PMID: 32387166, DOI: 10.1016/j.jaip.2020.02.042.Peer-Reviewed Original ResearchConceptsAsthma controlAsthma Control Test scoresAsthma control toolPhysician-diagnosed asthmaCut pointsLogistic regression analysisAsthma impairmentExacerbation historyAsthma severityFuture exacerbationsTest-retest reliabilityRisk QuestionnaireSymptom impairmentAsthmaSpecialty practicePatientsRisk questionsGlobal InitiativeImpairmentAirQRisk increaseCharacteristic curveExacerbationRegression analysisComposite measure
2018
Tobacco Control Laws and Pediatric Asthma
Hatoun J, Davis-Plourde K, Penti B, Cabral H, Kazis L. Tobacco Control Laws and Pediatric Asthma. 2018, 141: s130-s136. PMID: 29292313, DOI: 10.1542/peds.2017-1026p.Peer-Reviewed Original ResearchConceptsAsthma severityTobacco control lawsHome smokingTobacco controlAsthma Call-back SurveyPediatric asthma severitySmoke-free air lawsEnvironmental tobacco smokeCall-back SurveyGuardians of childrenChild's asthma severityLogistic regression modelsPediatric asthmaType of residenceTobacco smokeReduced severityPrimary analysisSecondary analysisSmokingPatient dataSeverityAsthmaFurther studiesChildrenAir laws
2017
Characterisation of asthma subgroups associated with circulating YKL-40 levels
Gomez JL, Yan X, Holm CT, Grant N, Liu Q, Cohn L, Nezgovorova V, Meyers DA, Bleecker ER, Crisafi GM, Jarjour NN, Rogers L, Reibman J, Chupp GL. Characterisation of asthma subgroups associated with circulating YKL-40 levels. European Respiratory Journal 2017, 50: 1700800. PMID: 29025889, PMCID: PMC5967238, DOI: 10.1183/13993003.00800-2017.Peer-Reviewed Original ResearchMeSH KeywordsAdolescentAdultAge of OnsetAirway ObstructionAsthmaChitinase-3-Like Protein 1Cluster AnalysisCross-Sectional StudiesDisease ProgressionFemaleGene Expression ProfilingHumansInflammationMaleMiddle AgedReproducibility of ResultsRespiratory SystemSeverity of Illness IndexSputumStatistics as TopicSymptom Flare UpConceptsSerum YKL-40 levelsYKL-40 levelsHigher serum YKL-40 levelsAirflow obstructionAsthma phenotypesElevated serum YKL-40 levelsSevere Asthma Research ProgramClinical asthma phenotypesExacerbation-prone asthmaIrreversible airway obstructionSevere airflow obstructionFrequent exacerbationsSevere exacerbationsAirway inflammationAirway obstructionAsthma exacerbationsAirway diseaseAsthma patientsAsthma severitySerum levelsInflammatory pathwaysAsthma subgroupsAdult onsetIdentification of individualsUnsupervised cluster analysis
2016
Asthma outcomes after adenotonsillectomy: A systematic review
Kohli N, DeCarlo D, Goldstein N, Silverman J. Asthma outcomes after adenotonsillectomy: A systematic review. International Journal Of Pediatric Otorhinolaryngology 2016, 90: 107-112. PMID: 27729114, DOI: 10.1016/j.ijporl.2016.08.030.Peer-Reviewed Original ResearchConceptsMarkers of asthma severityObstructive sleep apneaEffect of adenoidectomySleep apneaAsthma severityPediatric populationAirway diseaseSystematic reviewAsthma outcomesUpper airway inflammationIncreased risk of asthmaUpper airway diseaseRespiratory medication useHistory of asthmaModulation of asthmaClinically significant reductionDevelopment of asthmaRisk of asthmaAsthma-related exacerbationsLower airway diseaseCraniofacial syndromesProspective trialsDecreased asthma severityAsthma-related symptomsSignificant comorbiditiesIndoor microbial communities: Influence on asthma severity in atopic and nonatopic children
Dannemiller KC, Gent JF, Leaderer BP, Peccia J. Indoor microbial communities: Influence on asthma severity in atopic and nonatopic children. Journal Of Allergy And Clinical Immunology 2016, 138: 76-83.e1. PMID: 26851966, PMCID: PMC5357886, DOI: 10.1016/j.jaci.2015.11.027.Peer-Reviewed Original ResearchConceptsAsthma severityAtopic statusAtopic childrenNonatopic childrenLogistic regressionMicrobial exposureChildhood asthma severityCohort of childrenAsthmatic childrenAllergenic fungal speciesTotal fungal concentrationsSeverityHouse dustCryptococcus speciesExposure metricsChildrenT-testCohortQuantitative PCRFungal concentrationsAssociationExposureNext-generation DNA sequencingStatusRegression
2015
Genetic variation in chitinase 3-like 1 (CHI3L1) contributes to asthma severity and airway expression of YKL-40
Gomez JL, Crisafi GM, Holm CT, Meyers DA, Hawkins GA, Bleecker ER, Jarjour N, Investigators S, Cohn L, Chupp GL. Genetic variation in chitinase 3-like 1 (CHI3L1) contributes to asthma severity and airway expression of YKL-40. Journal Of Allergy And Clinical Immunology 2015, 136: 51-58.e10. PMID: 25592985, PMCID: PMC4494869, DOI: 10.1016/j.jaci.2014.11.027.Peer-Reviewed Original ResearchConceptsYKL-40 levelsYKL-40 expressionSerum YKL-40 levelsAsthma severityYKL-40Airway expressionAirway diseaseLung functionSingle nucleotide polymorphismsChitinase 3Severe Asthma Research ProgramHigh YKL-40 expressionOnly single nucleotide polymorphismRisk allele APostbronchodilator FEV1Airflow obstructionFEV1 percentSevere asthmaAsthmatic subjectsAsthma prevalenceHaplotype analysisGene polymorphismsG alleleCHI3L1 geneAsthma
2013
The Endogenous Th17 Response in NO2-Promoted Allergic Airway Disease Is Dispensable for Airway Hyperresponsiveness and Distinct from Th17 Adoptive Transfer
Martin RA, Ather JL, Daggett R, Hoyt L, Alcorn JF, Suratt BT, Weiss DJ, Lundblad LK, Poynter ME. The Endogenous Th17 Response in NO2-Promoted Allergic Airway Disease Is Dispensable for Airway Hyperresponsiveness and Distinct from Th17 Adoptive Transfer. PLOS ONE 2013, 8: e74730. PMID: 24069338, PMCID: PMC3778003, DOI: 10.1371/journal.pone.0074730.Peer-Reviewed Original ResearchConceptsAllergic airway diseaseAirway hyperresponsivenessAirway diseaseAdoptive transferAntigen challengeCytokine productionNeutrophil recruitmentIL-1RDevelopment of AHRIL-1 receptor signalingLung cellsGlucocorticoid-resistant asthmaIL-17A neutralizationOTII T cellsAdaptive immune responsesDecreased neutrophil recruitmentAHR developmentClinical asthmaMixed Th2Antigen restimulationSevere asthmaTh17 cellsIL-17Th17 responsesAsthma severityHousehold Levels of Nitrogen Dioxide and Pediatric Asthma Severity
Belanger K, Holford TR, Gent JF, Hill ME, Kezik JM, Leaderer BP. Household Levels of Nitrogen Dioxide and Pediatric Asthma Severity. Epidemiology 2013, 24: 320-330. PMID: 23337243, PMCID: PMC3686297, DOI: 10.1097/ede.0b013e318280e2ac.Peer-Reviewed Original ResearchConceptsAsthma severityNight symptomsAsthma morbiditySeverity scoreNO2 exposureHigher asthma severity scoresFrequency of wheezeIndoor NO2 exposurePediatric asthma severityRescue medication useIndoor allergen exposureAsthma severity scoreAdverse respiratory effectsDose-dependent increaseYears of ageInner-city childrenLogistic regression modelsRescue medicationActive asthmaAllergen exposureAsthmatic childrenMedication useRespiratory effectsChildren 5Health outcomes
2012
An environmental epigenetic study of ADRB2 5′‐UTR methylation and childhood asthma severity
Fu A, Leaderer BP, Gent JF, Leaderer D, Zhu Y. An environmental epigenetic study of ADRB2 5′‐UTR methylation and childhood asthma severity. Clinical & Experimental Allergy 2012, 42: 1575-1581. PMID: 22862293, PMCID: PMC3673701, DOI: 10.1111/j.1365-2222.2012.04055.x.Peer-Reviewed Original ResearchConceptsChildhood asthma severityAsthma severitySevere asthmaSignificant associationSevere childhood asthmaBeta-agonist treatmentBeta-2 adrenergic receptorsImportant environmental exposuresAsthma exacerbationsAsthma medicationsMild asthmaChildhood asthmaSurrogate biomarkerMethylation-specific PCRPotential joint effectsClinical relevanceAdrenergic receptorsAsthmaADRB2SeverityEnvironmental exposuresIndoor exposureChildrenAssociationBloodAssociation Of Atopic Status And Exposure To Household Fungi And Dust Allergens To Childhood Asthma Severity
Gent J, Kezik J, Hill M, Tsai E, Li D, Leaderer B. Association Of Atopic Status And Exposure To Household Fungi And Dust Allergens To Childhood Asthma Severity. 2012, a2223-a2223. DOI: 10.1164/ajrccm-conference.2012.185.1_meetingabstracts.a2223.Peer-Reviewed Original Research
2011
Children With Asthma Hospitalized With Seasonal or Pandemic Influenza, 2003–2009
Dawood F, Kamimoto L, D'Mello T, Reingold A, Gershman K, Meek J, Arnold K, Farley M, Ryan P, Lynfield R, Morin C, Baumbach J, Zansky S, Bennett N, Thomas A, Schaffner W, Kirschke D, Finelli L. Children With Asthma Hospitalized With Seasonal or Pandemic Influenza, 2003–2009. 2011, 128: e27-e32. PMID: 21646257, DOI: 10.1542/peds.2010-3343.Peer-Reviewed Original ResearchConceptsPandemic H1N1 influenzaAdditional medical conditionsAsthmatic childrenClinical courseInfluenza seasonH1N1 influenzaMedical conditionsLaboratory-confirmed influenzaAsthma exacerbationsRespiratory failureAsthma severityMedian ageInfluenza BInfluenza preventionIntensive careSeasonal influenzaMedical historyMedical recordsInfluenza AInfluenza typeAsthmaInfluenzaCare occurSubstantial proportionComplicationsTargeting ST2L Potentiates CpG-Mediated Therapeutic Effects in a Chronic Fungal Asthma Model
Ramaprakash H, Shibata T, Duffy KE, Ismailoglu UB, Bredernitz RM, Moreira AP, Coelho AL, Das AM, Fursov N, Chupp GL, Hogaboam CM. Targeting ST2L Potentiates CpG-Mediated Therapeutic Effects in a Chronic Fungal Asthma Model. American Journal Of Pathology 2011, 179: 104-115. PMID: 21640974, PMCID: PMC3123853, DOI: 10.1016/j.ajpath.2011.03.032.Peer-Reviewed Original ResearchMeSH KeywordsAnimalsAntibodies, MonoclonalAspergillosis, Allergic BronchopulmonaryAspergillus fumigatusAsthmaBlotting, WesternBronchial HyperreactivityCase-Control StudiesChemokine CXCL9Chronic DiseaseDisease Models, AnimalEnzyme-Linked Immunosorbent AssayFemaleFibrosisHumansImmunoenzyme TechniquesImmunoglobulin GLungMiceMice, Inbred C57BLOligodeoxyribonucleotidesReceptors, Interleukin-1Reverse Transcriptase Polymerase Chain ReactionRNA, MessengerToll-Like Receptor 9ConceptsAsthmatic miceExperimental asthmaDendritic cellsTherapeutic effectDay 28Live A. fumigatus conidiaControl dendritic cellsMucus cell metaplasiaKey pathological featureCell-associated receptorsA. fumigatus conidiaProtein expression levelsAirway hyperresponsivenessCXCL9 levelsFungal asthmaPeribronchial fibrosisAsthma modelIL-12p70Time-dependent mannerAllergic inflammationAsthma severityCell metaplasiaIL-33Therapeutic blockadeC57BL/6 miceAccuracy of a computerized clinical decision-support system for asthma assessment and management
Hoeksema LJ, Bazzy-Asaad A, Lomotan EA, Edmonds DE, Ramírez-Garnica G, Shiffman RN, Horwitz LI. Accuracy of a computerized clinical decision-support system for asthma assessment and management. Journal Of The American Medical Informatics Association 2011, 18: 243-250. PMID: 21486882, PMCID: PMC3078658, DOI: 10.1136/amiajnl-2010-000063.Peer-Reviewed Original ResearchConceptsComputerized clinical decision support systemsClinical decision support systemAsthma controlAsthma severityPediatric pulmonologistsNew patientsGuideline-based careCohort studyAsthma assessmentPediatric asthmaPhysician assessmentSubspecialty clinicsAsthma visitsCDSS recommendationsPediatric PulmonologyReturn patientsChart notesPatientsReturn visitsNew visitsCliniciansSeverity assessmentVisitsAsthmaPulmonologists
2009
Association of pediatric asthma severity with exposure to common household dust allergens
Gent JF, Belanger K, Triche EW, Bracken MB, Beckett WS, Leaderer BP. Association of pediatric asthma severity with exposure to common household dust allergens. Environmental Research 2009, 109: 768-774. PMID: 19473655, PMCID: PMC2706291, DOI: 10.1016/j.envres.2009.04.010.Peer-Reviewed Original ResearchConceptsAsthma severityDer p 1Asthmatic childrenMedication usePet allergensDust allergensDisease severityNon-atopic asthmatic childrenHouse dust mite allergen concentrationsGreater asthma severityPediatric asthma severityPet allergen levelsIndependent risk factorMonthly telephone interviewsDust mite allergen concentrationsDose-response relationshipMite allergen concentrationsAllergic statusIgE statusInhalant allergensIgE sensitivityDaily symptomsDust miteRisk factorsSymptom frequency
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