2022
A multicenter evaluation of computable phenotyping approaches for SARS-CoV-2 infection and COVID-19 hospitalizations
Khera R, Mortazavi BJ, Sangha V, Warner F, Patrick Young H, Ross JS, Shah ND, Theel ES, Jenkinson WG, Knepper C, Wang K, Peaper D, Martinello RA, Brandt CA, Lin Z, Ko AI, Krumholz HM, Pollock BD, Schulz WL. A multicenter evaluation of computable phenotyping approaches for SARS-CoV-2 infection and COVID-19 hospitalizations. Npj Digital Medicine 2022, 5: 27. PMID: 35260762, PMCID: PMC8904579, DOI: 10.1038/s41746-022-00570-4.Peer-Reviewed Original ResearchCOVID-19 hospitalizationMayo ClinicDiagnosis codesCOVID-19 diagnosisPositive SARS-CoV-2 PCRYale New Haven Health SystemPositive SARS-CoV-2 testSARS-CoV-2 infectionSARS-CoV-2 PCRSARS-CoV-2 testCOVID-19Higher inhospital mortalitySARS-CoV2 infectionElectronic health record dataICD-10 diagnosisPositive laboratory testsHealth record dataInhospital mortalityAdditional patientsAntigen testSecondary diagnosisPrincipal diagnosisMulticenter evaluationPositive testComputable phenotype definitions
2021
Universal SARS-CoV-2 Testing of Emergency Department Admissions Increases Emergency Department Length of Stay
Sangal RB, Peaper DR, Rothenberg C, Landry ML, Sussman LS, Martinello RA, Ulrich A, Venkatesh AK. Universal SARS-CoV-2 Testing of Emergency Department Admissions Increases Emergency Department Length of Stay. Annals Of Emergency Medicine 2021, 79: 182-186. PMID: 34756452, PMCID: PMC8424016, DOI: 10.1016/j.annemergmed.2021.09.005.Peer-Reviewed Original ResearchConceptsSARS-CoV-2 testingUniversal SARS-CoV-2 testingEmergency department lengthAdmission lengthED admissionPositivity rateSARS-CoV-2 testAcademic health systemCOVID-19 prevalenceSecondary outcomesED lengthPrevention needsED boardingPatientsStayPositive casesClinical costsHealth systemAdmissionTesting policiesContainment effortsTestingPrevalenceTesting changesPositivityTracking 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