TY - JOUR
T1 - Establishing Antimicrobial Susceptibility Testing Methods and Clinical Breakpoints for Inhaled Antibiotic Therapy
AU - Ekkelenkamp, Miquel B.
AU - Díez-Aguilar, María
AU - Tunney, Michael M.
AU - Elborn, J. Stuart
AU - Fluit, Ad C.
AU - Cantón, Rafael
N1 - Publisher Copyright:
© 2022 The Author(s) 2022. Published by Oxford University Press on behalf of Infectious Diseases Society of America.
PY - 2022/4/1
Y1 - 2022/4/1
N2 - Inhaled antibiotics are a common and valuable therapy for patients suffering from chronic lung infection, with this particularly well demonstrated for patients with cystic fibrosis. However, in vitro tests to predict patient response to inhaled antibiotic therapy are currently lacking. There are indications that antimicrobial susceptibility testing (AST) may have a role in guidance of therapy, but which tests would correlate best still needs to be researched in clinical studies or animal models. Applying the principles of European Committee on Antimicrobial Susceptibility Testing methodology, the analysis of relevant and reliable data correlating different AST tests to patients' outcomes may yield clinical breakpoints for susceptibility, but these data are currently unavailable. At present, we believe that it is unlikely that standard determination of minimum inhibitory concentration will prove the best predictor.
AB - Inhaled antibiotics are a common and valuable therapy for patients suffering from chronic lung infection, with this particularly well demonstrated for patients with cystic fibrosis. However, in vitro tests to predict patient response to inhaled antibiotic therapy are currently lacking. There are indications that antimicrobial susceptibility testing (AST) may have a role in guidance of therapy, but which tests would correlate best still needs to be researched in clinical studies or animal models. Applying the principles of European Committee on Antimicrobial Susceptibility Testing methodology, the analysis of relevant and reliable data correlating different AST tests to patients' outcomes may yield clinical breakpoints for susceptibility, but these data are currently unavailable. At present, we believe that it is unlikely that standard determination of minimum inhibitory concentration will prove the best predictor.
KW - antimicrobial resistance
KW - bronchiectasis
KW - chronic pulmonary infection
KW - cystic fibrosis
KW - inhaled antibiotics
KW - susceptibility breakpoints
UR - http://www.scopus.com/inward/record.url?scp=85126738760&partnerID=8YFLogxK
U2 - 10.1093/ofid/ofac082
DO - 10.1093/ofid/ofac082
M3 - Article
AN - SCOPUS:85126738760
SN - 2328-8957
VL - 9
JO - Open forum infectious diseases
JF - Open forum infectious diseases
IS - 4
M1 - ofac082
ER -