2017/01/01 by Karan Syal, Manni Mo, Hui Yu +7 · 1 citation
Biochemistry, Genetics and Molecular Biology · Immunology and Microbiology · Medicine · #Bacterial Identification and Susceptibility Testing #Antibiotic Use and Resistance #Antimicrobial Resistance in Staphylococcus #Antibiotics #Medicine #Intensive care medicine #Medical physics #Microbiology #Biology
paper · pdf · doi:10.7150/thno.19217
openalex publication_date 2017/01/01 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/30
Infectious diseases caused by bacterial pathogens are a worldwide burden. Serious bacterial infection-related complications, such as sepsis, affect over a million people every year with mortality rates ranging from 30% to 50%. Crucial clinical microbiology laboratory responsibilities associated with patient management and treatment include isolating and identifying the causative bacterium and performing antibiotic susceptibility tests (ASTs), which are labor-intensive, complex, imprecise, and slow (taking days, depending on the growth rate of the pathogen). Considering the life-threatening condition of a septic patient and the increasing prevalence of antibiotic-resistant bacteria in hospitals, rapid and automated diagnostic tools are needed. This review summarizes the existing commercial AST methods and discusses some of the promising emerging AST tools that will empower humans to win the evolutionary war between microbial genes and human wits.