AI Article Synopsis

  • - The effectiveness of treating sepsis heavily relies on quickly giving the right antibiotics; however, current methods for determining the best treatment are slow, primarily due to lengthy blood culture processes.
  • - A new ultra-rapid antimicrobial susceptibility testing (AST) method bypasses traditional blood cultures, potentially speeding up reporting times by 40-60 hours for drug susceptibility profiles.
  • - This innovative approach uses a synthetic peptide to recover a wide range of pathogens from whole blood, achieving 100% species identification accuracy in a study with 190 patients, and a 94.90% agreement rate for AST results within an average of 13 hours after blood processing.

Article Abstract

Treatment assessment and patient outcome for sepsis depend predominantly on the timely administration of appropriate antibiotics. However, the clinical protocols used to stratify and select patient-specific optimal therapy are extremely slow. In particular, the major hurdle in performing rapid antimicrobial susceptibility testing (AST) remains in the lengthy blood culture procedure, which has long been considered unavoidable due to the limited number of pathogens present in the patient's blood. Here we describe an ultra-rapid AST method that bypasses the need for traditional blood culture, thereby demonstrating potential to reduce the turnaround time of reporting drug susceptibility profiles by more than 40-60 h compared with hospital AST workflows. Introducing a synthetic beta-2-glycoprotein I peptide, a broad range of microbial pathogens are selectively recovered from whole blood, subjected to species identification or instantly proliferated and phenotypically evaluated for various drug conditions using a low-inoculum AST chip. The platform was clinically evaluated by the enrolment of 190 hospitalized patients suspected of having infection, achieving 100% match in species identification. Among the eight positive cases, six clinical isolates were retrospectively tested for AST showing an overall categorical agreement of 94.90% with an average theoretical turnaround time of 13 ± 2.53 h starting from initial blood processing.

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Source
http://dx.doi.org/10.1038/s41586-024-07725-1DOI Listing

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