ΔCt-Informed, Calibrated Logistic Regression Accurately Attributes mecA in Staphylococcus aureus-Positive Wound Specimens.
Mehdi Dehghani, Hans Norouzi, Shabnam Dehghan, Keagan H. Lee, Howard L. Martin
The paper develops a logistic regression model to accurately attribute mecA to Staphylococcus aureus in wound specimens, improving MRSA detection and reducing unnecessary antibiotic use.
Microbiology Spectrum · Mar 31, 2026Peer-reviewedMicrobiology