Estimated Impact of Low Isolate Numbers on the Reliability of Cumulative Antibiogram Data
Christian Tran, John Hargy, Bryan Hess, Matthew A. Pettengill
Abstract
Antibiograms are reports of local antimicrobial susceptibility patterns for common bacteria and yeast that are used to make empirical decisions for patient therapy and also to inform institution therapy guidelines. This study evaluates the impact of low isolate counts on the reliability of antibiograms, and suggests that more institutions should utilize multiple years of data to overcome this issue.
Topics & Concepts
AntibiogramStatisticsMedicineReliability (semiconductor)AntibioticsAntibiotic resistanceBiologyMathematicsMicrobiologyPhysicsQuantum mechanicsPower (physics)Antibiotic Use and ResistanceBacterial Identification and Susceptibility TestingAntibiotics Pharmacokinetics and Efficacy