2024
Identification of Severe Acute Exacerbations of Chronic Obstructive Pulmonary Disease Subgroups by Machine Learning Implementation in Electronic Health Records.
Li H, Huston J, Zielonka J, Kay S, Sauler M, Gomez J. Identification of Severe Acute Exacerbations of Chronic Obstructive Pulmonary Disease Subgroups by Machine Learning Implementation in Electronic Health Records. Chronic Obstructive Pulmonary Diseases Journal Of The COPD Foundation 2024 PMID: 39423339, DOI: 10.15326/jcopdf.2024.0556.Peer-Reviewed Original ResearchElectronic health recordsMachine learningAcute exacerbation of COPDAdoption of electronic health recordsHealth recordsMachine learning implementationElectronic health record dataImplementation of MLEHR-derived dataML implementationChronic obstructive pulmonary disease subgroupCOVID-19 cohortSevere acute exacerbation of COPDClinical careExacerbation of COPDAcute exacerbationRetrospective cohort of patientsLearning implementationSeverity of acute exacerbations of COPDMachineRelevant subgroupsRetrospective cohortImplementationCohortCohort of patients
2023
Shared genetic architecture of blood eosinophil counts and asthma in UK Biobank
Li B, Wang Y, Wang Z, Li X, Kay S, Chupp G, Zhao H, Gomez J. Shared genetic architecture of blood eosinophil counts and asthma in UK Biobank. ERJ Open Research 2023, 9: 00291-2023. PMID: 37650091, PMCID: PMC10463033, DOI: 10.1183/23120541.00291-2023.Peer-Reviewed Original ResearchGenome-wide association studiesGenetic architectureGenetic correlation analysisUK BiobankGWAS resultsTranscription factorsInterleukin-4 SignalingBlood eosinophil countsAssociation studiesDoctor-diagnosed asthmaSignificant variantsEosinophil countEuropean ancestryTraitsPathwayGenetic linkType 2 immune responsesType 2 inflammationSignalingCritical associationImmune responseHeterogeneous diseaseTAGCSevere asthmaTherapeutic interventionsMachine Learning Prediction of Severe Asthma and COPD Hospital Readmission
Li H, Lopez K, Lipkin-Moore Z, Kay S, Rajeevan H, Davis J, Wilson F, Rochester C, Gomez J. Machine Learning Prediction of Severe Asthma and COPD Hospital Readmission. 2023, a4831-a4831. DOI: 10.1164/ajrccm-conference.2023.207.1_meetingabstracts.a4831.Peer-Reviewed Original ResearchDeep learning prediction of hospital readmissions for asthma and COPD
Lopez K, Li H, Lipkin-Moore Z, Kay S, Rajeevan H, Davis J, Wilson F, Rochester C, Gomez J. Deep learning prediction of hospital readmissions for asthma and COPD. Respiratory Research 2023, 24: 311. PMID: 38093373, PMCID: PMC10720134, DOI: 10.1186/s12931-023-02628-7.Peer-Reviewed Original Research
2021
An Overview of Sex and Gender in Pulmonary and Critical Care Medicine
Kay S, Pisani MA. An Overview of Sex and Gender in Pulmonary and Critical Care Medicine. Clinics In Chest Medicine 2021, 42: 385-390. PMID: 34353445, DOI: 10.1016/j.ccm.2021.04.001.Peer-Reviewed Original ResearchSex-Specific Gene Expression in the Sputum of Patients with Asthma
Kay S, Chupp G, Gomez J. Sex-Specific Gene Expression in the Sputum of Patients with Asthma. 2021, a1383-a1383. DOI: 10.1164/ajrccm-conference.2021.203.1_meetingabstracts.a1383.Peer-Reviewed Original ResearchThe Patient Care Ownership Scale: External Validation of an Instrument that Measures Patient Care Ownership Among Internal Medicine Trainees—a Multi-Institutional Study
Djulbegovic M, Kulkarni SA, Chen KL, Canavan M, White MA, McGuire WC, Shan S, Reddy R, Kay S, Fraenkel L. The Patient Care Ownership Scale: External Validation of an Instrument that Measures Patient Care Ownership Among Internal Medicine Trainees—a Multi-Institutional Study. Journal Of General Internal Medicine 2021, 36: 3680-3688. PMID: 33782886, PMCID: PMC8642535, DOI: 10.1007/s11606-021-06703-x.Peer-Reviewed Original ResearchConceptsItem reductionIntensive care unitMedicine residentsCross-sectional studyMulti-institutional studyPARTICIPANTSInternal medicine residentsPositive associationInternal medicine traineesOwnership scaleInternal medicine residentsCare unitSignificant positive associationMain MeasuresWeKey ResultsOfPatient care ownershipEligible residentsPatient careSignificant associationBivariate analysisInpatient rotationsResident physiciansMedicine traineesCronbach's αExternal validationDecision ownership
2019
Interstitial pneumonia with autoimmune features (IPAF): a clinical entity?
Mari P, Kay S, Belloli E, Salisbury M, Sheth J, Holtze C, Wang B, Myers J, Konopka K, Lagstein A, Kazerooni E, Chughtai A, Vummidi D, Nagaraja V, Khanna D, Flaherty K, Richeldi L, White E. Interstitial pneumonia with autoimmune features (IPAF): a clinical entity? 2019, pa1735. DOI: 10.1183/13993003.congress-2019.pa1735.Peer-Reviewed Original ResearchImpact of comorbidities in interstitial pneumonia with autoimmune features (IPAF)
Mari P, Kay S, Belloli E, Salisbury M, Sheth J, Holtze C, Wang B, Myers J, Konopka K, Lagstein A, Kazerooni E, Chughtai A, Vummidi D, Nagaraja V, Khanna D, Flaherty K, Richeldi L, White E. Impact of comorbidities in interstitial pneumonia with autoimmune features (IPAF). 2019, pa1303. DOI: 10.1183/13993003.congress-2019.pa1303.Peer-Reviewed Original ResearchHealth Related Quality of Life and Biomarker Levels in Patients with Idiopathic Pulmonary Fibrosis
Kay S, Mari P, Xia M, Murray S, Belloli E, Salisbury M, Sheth J, Wang B, Holtze C, Martinez F, Flaherty K, White E. Health Related Quality of Life and Biomarker Levels in Patients with Idiopathic Pulmonary Fibrosis. 2019, a7145-a7145. DOI: 10.1164/ajrccm-conference.2019.199.1_meetingabstracts.a7145.Peer-Reviewed Original ResearchEpidemiology and Effect of Therapy in Patients with Interstitial Pneumonia with Autoimmune Features (IPAF)
Mari P, Kay S, Belloli E, Sheth J, Salisbury M, Holtze C, Wang B, Myers J, Konopka K, Lagstein A, Kazerooni E, Chughtai A, Vummidi D, Nagaraja V, Khanna D, Flaherty K, Richeldi L, White E. Epidemiology and Effect of Therapy in Patients with Interstitial Pneumonia with Autoimmune Features (IPAF). 2019, a2641-a2641. DOI: 10.1164/ajrccm-conference.2019.199.1_meetingabstracts.a2641.Peer-Reviewed Original Research