2021
Predicting patients with false negative SARS-CoV-2 testing at hospital admission: A retrospective multi-center study
Ghazi L, Simonov M, Mansour SG, Moledina DG, Greenberg JH, Yamamoto Y, Biswas A, Wilson FP. Predicting patients with false negative SARS-CoV-2 testing at hospital admission: A retrospective multi-center study. PLOS ONE 2021, 16: e0251376. PMID: 33979353, PMCID: PMC8115794, DOI: 10.1371/journal.pone.0251376.Peer-Reviewed Original ResearchConceptsSARS-CoV-2 infectionHours of hospitalizationReceiver operator characteristicAdult patientsNegative SARS-CoV-2 testYale New Haven Health SystemLower white blood cell countAvailable electronic health record dataRetrospective multi-center studySARS-CoV-2 positivityWhite blood cell countSARS-CoV-2 testSARS-CoV-2 testingPositive COVID testHospitalized adult patientsRetrospective cohort studyPopulation of patientsElectronic health record dataBlood cell countVital sign abnormalitiesMulti-center studyFalse-negative testingHealth record dataSARS-CoV-2 virusSARS-CoV-2
2017
Approaches to Predicting Outcomes in Patients with Acute Kidney Injury
Saly D, Yang A, Triebwasser C, Oh J, Sun Q, Testani J, Parikh CR, Bia J, Biswas A, Stetson C, Chaisanguanthum K, Wilson FP. Approaches to Predicting Outcomes in Patients with Acute Kidney Injury. PLOS ONE 2017, 12: e0169305. PMID: 28122032, PMCID: PMC5266278, DOI: 10.1371/journal.pone.0169305.Peer-Reviewed Original ResearchConceptsAcute kidney injuryLength of stayKidney injuryReceiver operator characteristic curveOutcomes of interestOperator characteristic curveValidation cohortClinical eventsAccurate prognosticationOutcome eventsPredicting OutcomePrognostic modelDeath predictionLab valuesCharacteristic curveGood discrimination abilityPatientsStayInjuryDialysisModel discriminationOutcomesDaysMedicationsMorbidity