2023
Differences in Mortality Among Patients With Asthma and COPD Hospitalized With COVID-19
Liu Y, Rajeevan H, Simonov M, Lee S, Wilson F, Desir G, Vinetz J, Yan X, Wang Z, Clark B, Possick J, Price C, Lutchmansingh D, Ortega H, Zaeh S, Gomez J, Cohn L, Gautam S, Chupp G. Differences in Mortality Among Patients With Asthma and COPD Hospitalized With COVID-19. The Journal Of Allergy And Clinical Immunology In Practice 2023, 11: 3383-3390.e3. PMID: 37454926, PMCID: PMC10787810, DOI: 10.1016/j.jaip.2023.07.006.Peer-Reviewed Original ResearchConceptsChronic obstructive pulmonary diseaseType 2 inflammationCOVID-19 severitySOFA scoreAirway diseaseNoneosinophilic asthmaSequential Organ Failure Assessment scoreOrgan Failure Assessment scoreSevere coronavirus disease 2019Higher SOFA scoreMedian SOFA scoreRetrospective cohort studyObstructive pulmonary diseaseOdds of mortalityLower SOFA scoresCells/μLCOVID-19 outcomesCoronavirus disease 2019Logistic regression analysisCOVID-19Clinical confoundersAsthma patientsCohort studyImmunological factorsClinical features
2020
Severe respiratory viral infection induces procalcitonin in the absence of bacterial pneumonia
Gautam S, Cohen AJ, Stahl Y, Toro P, Young GM, Datta R, Yan X, Ristic NT, Bermejo SD, Sharma L, Restrepo M, Dela Cruz CS. Severe respiratory viral infection induces procalcitonin in the absence of bacterial pneumonia. Thorax 2020, 75: 974-981. PMID: 32826284, DOI: 10.1136/thoraxjnl-2020-214896.Peer-Reviewed Original ResearchConceptsPure viral infectionBacterial coinfectionViral infectionInfluenza infectionSevere respiratory viral infectionsAbility of procalcitoninRetrospective cohort studyViral respiratory infectionsRespiratory viral infectionsMarker of severityRespiratory viral illnessSevere viral infectionsSpecificity of procalcitoninCharacteristic curve analysisCellular modelHigher procalcitoninProcalcitonin expressionElevated procalcitoninCohort studyViral illnessRespiratory infectionsAntibiotic administrationBacterial pneumoniaSevere diseaseProcalcitonin
2017
Validation of a 52-gene risk profile for outcome prediction in patients with idiopathic pulmonary fibrosis: an international, multicentre, cohort study
Herazo-Maya JD, Sun J, Molyneaux PL, Li Q, Villalba JA, Tzouvelekis A, Lynn H, Juan-Guardela BM, Risquez C, Osorio JC, Yan X, Michel G, Aurelien N, Lindell KO, Klesen MJ, Moffatt MF, Cookson WO, Zhang Y, Garcia JGN, Noth I, Prasse A, Bar-Joseph Z, Gibson KF, Zhao H, Herzog EL, Rosas IO, Maher TM, Kaminski N. Validation of a 52-gene risk profile for outcome prediction in patients with idiopathic pulmonary fibrosis: an international, multicentre, cohort study. The Lancet Respiratory Medicine 2017, 5: 857-868. PMID: 28942086, PMCID: PMC5677538, DOI: 10.1016/s2213-2600(17)30349-1.Peer-Reviewed Original ResearchMeSH KeywordsAgedCohort StudiesFemaleGene Expression ProfilingGenetic MarkersGenetic TestingHumansIdiopathic Pulmonary FibrosisLeukocytes, MononuclearLinear ModelsMaleMiddle AgedOligonucleotide Array Sequence AnalysisPrognosisProportional Hazards ModelsRisk AssessmentRisk FactorsTime FactorsVital CapacityConceptsIdiopathic pulmonary fibrosisTransplant-free survivalRisk profilePulmonary fibrosisAntifibrotic drugsPeripheral blood mononuclear cellsCox proportional hazards modelClinical prediction toolGroup of patientsBlood mononuclear cellsHigh-risk groupProportional hazards modelPulmonary Fibrosis FoundationPittsburgh cohortUntreated patientsCohort studyClinical courseIPF diagnosisBlood InstituteProspective studyVital capacityMononuclear cellsPeripheral bloodUS National InstitutesNational Heart