2019
A Prediction Model to Identify Febrile Infants ≤60 Days at Low Risk of Invasive Bacterial Infection
Aronson PL, Shabanova V, Shapiro ED, Wang ME, Nigrovic LE, Pruitt CM, DePorre AG, Leazer RC, Desai S, Sartori LF, Marble RD, Rooholamini SN, McCulloh RJ, Woll C, Balamuth F, Alpern ER, Shah SS, Williams DJ, Browning WL, Shah N, Neuman MI. A Prediction Model to Identify Febrile Infants ≤60 Days at Low Risk of Invasive Bacterial Infection. Pediatrics 2019, 144: e20183604. PMID: 31167938, PMCID: PMC6615531, DOI: 10.1542/peds.2018-3604.Peer-Reviewed Original ResearchConceptsInvasive bacterial infectionsAbsolute neutrophil countFebrile infantsControl patientsNeutrophil countUrinalysis resultsBacterial infectionsAbnormal urinalysis resultsNormal urinalysis resultsComplex chronic conditionsCase-control studyMultiple logistic regressionDate of visitEmergency departmentChronic conditionsCerebrospinal fluidLower riskInfantsLogistic regressionPatientsHospitalScoresInfectionDaysLow probability
2016
Prediction of Catheter-Associated Thrombosis in Critically Ill Children
Marquez A, Shabanova V, Faustino EV. Prediction of Catheter-Associated Thrombosis in Critically Ill Children. Pediatric Critical Care Medicine 2016, 17: e521-e528. PMID: 27662566, DOI: 10.1097/pcc.0000000000000958.Peer-Reviewed Original ResearchConceptsCatheter-associated thrombosisCentral venous cathetersVenous cathetersIll childrenRecent surgeryHigh riskCatheter-associated deep venous thrombosisMulticenter prospective cohort studyBlood product transfusionDeep venous thrombosisProspective cohort studyCritically Ill ChildrenSeverity of illnessRisk prediction modelProduct transfusionCohort studyVenous thrombosisGroup of childrenSubclavian veinActive surveillanceThrombosisCatheterSecondary analysisLogistic regressionCharacteristic curve