Veterinary MedicineInfectious DiseasesMicrobiologyClinical EpidemiologyDiagnostic MicrobiologyMedical MicrobiologyBacterial InfectionsCentral Nervous System InfectionsInfectious Disease Risk FactorsArea Under The Receiver Operating Characteristic CurveCerebrospinal Fluid Glucose StudiesDifferential Diagnosis CriteriaInfection Risk PredictionLogistic RegressionMeningitis DiagnosisReceiver Operating Characteristic AnalysisViral Meningitis
The study aimed to develop a logistic regression model to better predict bacterial versus viral meningitis using CSF‑blood glucose ratio, polymorphonuclear leukocyte count, age, and month of onset. The authors analyzed records of 422 patients with acute bacterial or viral meningitis and built a logistic regression model incorporating CSF‑blood glucose ratio, polymorphonuclear leukocyte count, age, and month of onset. The model achieved high reliability (AUC 0.97) and, together with individual CSF markers such as glucose < 1.9 mmol/L, CSF‑blood glucose ratio < 0.23, protein > 2.2 g/L, leukocytes > 2000/µL, or polymorphonuclear leukocytes > 1180/µL, can differentiate bacterial from viral meningitis with greater accuracy, though no single marker can rule out bacterial infection.
We analyzed data from the records of 422 patients with acute bacterial or viral meningitis. A cerebrospinal fluid (CSF) glucose level less than 1.9 mmol/L, a CSF-blood glucose ratio less than 0.23, a CSF protein level greater than 2.2 g/L, more than 2000 x 10(6)/L CSF leukocytes, or more than 1180 x 10(6)/L CSF polymorphonuclear leukocytes were individual predictors of bacterial infection with 99% certainty or better. Although any one of these tests could rule in bacterial meningitis with high probability, none could rule it out. To better predict whether a patient has bacterial vs viral infection, we developed a logistic multiple regression model using CSF-blood glucose ratio, total polymorphonuclear leukocyte count in CSF, age, and month of onset. This proved highly reliable when validated in an independent test sample, with an area under receiver operating characteristic curve of 0.97. The model should allow physicians to differentiate between acute viral and acute bacterial meningitis with greater accuracy.
6
Cerebrospinal Fluid in Diseases of the Nervous System.
Annals of Internal Medicine · 1980 · 658 citations · Full text
Medicine, Neurology, Neuroscience +17