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Evaluation of screening algorithms to detect rectal colonization with carbapenemase-producing Enterobacterales in a resource-limited setting.

Thi Anh Mai PhamTung Xuan NguyenTruong Nhat MyLan Thi LeHuyen Thi VuNgoc Thi Bich HoangDien M TranLinh Viet NguyenPhuc D PhamDennis NurjadiFlavie GoutardThirumalaisamy P VelavanVan Anh Thi DinhYaovi Mahuton Gildas HounmanouBent JörgensenLe Huu SongNhung T T NguyenEtienne LoireÅse ÖstholmLennart E NilssonTran Thi Tuyet HanhPhuc Huu PhanAnders DalsgaardMattias LarssonLinus OlsonHåkan Hanberger
Published in: JAC-antimicrobial resistance (2024)
These findings underscore the effectiveness of meropenem resistance as a robust indicator of the production of carbapenemases and the reliability of the CIM method to detect such carbapenemases in resource-limited settings where the performance of molecular methods is not possible.
Keyphrases
  • klebsiella pneumoniae
  • multidrug resistant
  • gram negative
  • machine learning
  • escherichia coli
  • randomized controlled trial
  • systematic review
  • deep learning
  • rectal cancer
  • acinetobacter baumannii
  • pseudomonas aeruginosa