2023
An AI-powered patient triage platform for future viral outbreaks using COVID-19 as a disease model
Charkoftaki G, Aalizadeh R, Santos-Neto A, Tan W, Davidson E, Nikolopoulou V, Wang Y, Thompson B, Furnary T, Chen Y, Wunder E, Coppi A, Schulz W, Iwasaki A, Pierce R, Cruz C, Desir G, Kaminski N, Farhadian S, Veselkov K, Datta R, Campbell M, Thomaidis N, Ko A, Thompson D, Vasiliou V. An AI-powered patient triage platform for future viral outbreaks using COVID-19 as a disease model. Human Genomics 2023, 17: 80. PMID: 37641126, PMCID: PMC10463861, DOI: 10.1186/s40246-023-00521-4.Peer-Reviewed Original ResearchConceptsCOVID-19 patientsDisease severityViral outbreaksFuture viral outbreaksLength of hospitalizationIntensive care unitWorse disease prognosisLife-threatening illnessEffective medical interventionsCOVID-19Clinical decision treeGlucuronic acid metabolitesNew potential biomarkersHospitalization lengthCare unitComorbidity dataSerotonin levelsDisease progressionHealthy controlsPatient outcomesDisease prognosisPatient transferPatientsHealthcare resourcesPotential biomarkers
2022
Subcutaneous sarilumab for the treatment of hospitalized patients with moderate to severe COVID19 disease: A pragmatic, embedded randomized clinical trial
Branch-Elliman W, Ferguson R, Doros G, Woods P, Leatherman S, Strymish J, Datta R, Goswami R, Jankowich MD, Shah NR, Taylor TH, Page ST, Schiller SJ, Shannon C, Hau C, Flynn M, Holmberg E, Visnaw K, Dhond R, Brophy M, Monach PA. Subcutaneous sarilumab for the treatment of hospitalized patients with moderate to severe COVID19 disease: A pragmatic, embedded randomized clinical trial. PLOS ONE 2022, 17: e0263591. PMID: 35213547, PMCID: PMC8880885, DOI: 10.1371/journal.pone.0263591.Peer-Reviewed Original ResearchConceptsStandard of careSubcutaneous sarilumabMechanical ventilationSevere COVID-19 diseaseHospitalized COVID-19 patientsDays of randomizationIL-6R inhibitionRate of intubationTrial of patientsSevere COVID-19COVID-19 patientsNumber of patientsVA Medical CenterAnti-inflammatory drugsCOVID-19SARS-CoV-2COVID-19 diseaseData monitoring committeeEligible patientsPrimary endpointSOC armPrimary outcomeRespiratory compromiseElectronic health record systemsClinical criteria
2021
Tracking smell loss to identify healthcare workers with SARS-CoV-2 infection
Weiss JJ, Attuquayefio TN, White EB, Li F, Herz RS, White TL, Campbell M, Geng B, Datta R, Wyllie AL, Grubaugh ND, Casanovas-Massana A, Muenker MC, Moore AJ, Handoko R, Iwasaki A, Martinello RA, Ko AI, Small DM, Farhadian SF, Team T. Tracking smell loss to identify healthcare workers with SARS-CoV-2 infection. PLOS ONE 2021, 16: e0248025. PMID: 33657167, PMCID: PMC7928484, DOI: 10.1371/journal.pone.0248025.Peer-Reviewed Original ResearchConceptsSARS-CoV-2 infectionSARS-CoV-2 positive healthcare workersSmell lossHealthcare workersHome assessmentNeurological symptomsPositive SARS-CoV-2 testSARS-CoV-2 test positivitySARS-CoV-2 testPolymerase chain reaction testingReal-time quantitative polymerase chain reaction testingQuantitative polymerase chain reaction testingCOVID-19 patientsHigh-risk groupHigh-risk individualsSARS-CoV-2Self-reported changesProspective studyTest positivityAsymptomatic infectionSymptom SurveyVulnerable patientsHigh riskPositive testRisk individuals