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 probabilityOligoclonal bands increase the specificity of MRI criteria to predict multiple sclerosis in children with radiologically isolated syndrome
Makhani N, Lebrun C, Siva A, Narula S, Wassmer E, Brassat D, Brenton JN, Cabre P, Carra Dallière C, de Seze J, Durand Dubief F, Inglese M, Langille M, Mathey G, Neuteboom RF, Pelletier J, Pohl D, Reich DS, Ignacio Rojas J, Shabanova V, Shapiro ED, Stone RT, Tenembaum S, Tintoré M, Uygunoglu U, Vargas W, Venkateswaren S, Vermersch P, Kantarci O, Okuda DT, Pelletier D, . Oligoclonal bands increase the specificity of MRI criteria to predict multiple sclerosis in children with radiologically isolated syndrome. Multiple Sclerosis Journal - Experimental Translational And Clinical 2019, 5: 2055217319836664. PMID: 30915227, PMCID: PMC6429663, DOI: 10.1177/2055217319836664.Peer-Reviewed Original ResearchOligoclonal bandsMultiple sclerosisCerebrospinal fluidDiagnostic criteriaCentral nervous system demyelinationMagnetic resonance imaging criteriaFirst clinical eventCerebrospinal fluid analysisNervous system demyelinationOptimal diagnostic criteriaDiagnostic indexMagnetic resonanceSpecificity 72.7Historical cohortProspective studyClinical eventsMRI criteriaSensitivity 66.7Imaging criteriaDiagnostic certaintySpecificity 83.3SyndromeFluid analysisSensitivity 76.5Demyelination