Antibiogram

What is Antibiogram?

An antibiogram is a summary of local antimicrobial resistance patterns, providing essential data to guide appropriate antibiotic selection. It is generated from microbiological testing of clinical isolates and reflects the susceptibility of common bacterial pathogens to various antibiotics over a defined period.  

The antibiogram showed in this page presents resistance percentages, indicating the proportion of bacterial isolates that were found to be resistant to specific antibiotics. Higher resistance percentages suggest reduced effectiveness for empirical treatment and highlight the need for careful antibiotic selection. 

The data represent cumulative resistance rates and do not differentiate between infection sites or patient populations. Clinical judgment, patient-specific factors, and local treatment guidelines should always be considered when interpreting these results.

The data presented in this antibiogram were collected from January 2024 to December 2024 for commonly isolated gram negative bacteria in Hospital Queen Elizabeth. It reflects local antimicrobial susceptibility patterns during this period, This antibiogram should be used as a guide for empirical antibiotic selection. Local resistance trends should be considered alongside patient-specific factors such as site of infection, comorbidities, and prior antibiotic exposure. 

The resistance percentages reflect aggregated data and may not account for differences in patient populations, infection sources, or specimen types. 

Interpret this data in conjunction with clinical guidelines, patient history, and local antimicrobial stewardship policies to ensure appropriate antibiotic use. 

The data presented in this antibiogram were collected from January 2024 to December 2024 for commonly isolated gram positive bacteria in Hospital Queen Elizabeth.  It reflects local antimicrobial susceptibility patterns during this period. This antibiogram should be used as a guide for empirical antibiotic selection. Local resistance trends should be considered alongside patient-specific factors such as site of infection, comorbidities, and prior antibiotic exposure. 

The resistance percentages reflect aggregated data and may not account for differences in patient populations, infection sources, or specimen types. 

Interpret this data in conjunction with clinical guidelines, patient history, and local antimicrobial stewardship policies to ensure appropriate antibiotic use. 

The data presented in this antibiogram were collected from January 2024 to December 2024 for non typhoidal salmonella in Hospital Queen Elizabeth.  It reflects local antimicrobial susceptibility patterns during this period. This antibiogram should be used as a guide for empirical antibiotic selection. Local resistance trends should be considered alongside patient-specific factors such as site of infection, comorbidities, and prior antibiotic exposure. 

The resistance percentages reflect aggregated data and may not account for differences in patient populations, infection sources, or specimen types. 

Interpret this data in conjunction with clinical guidelines, patient history, and local antimicrobial stewardship policies to ensure appropriate antibiotic use. 

The data presented in this antibiogram were collected from January 2024 to December 2024 for other relevant bacteria isolated in HQE.  It reflects local antimicrobial susceptibility patterns during this period. This antibiogram should be used as a guide for empirical antibiotic selection. Local resistance trends should be considered alongside patient-specific factors such as site of infection, comorbidities, and prior antibiotic exposure. 

The resistance percentages reflect aggregated data and may not account for differences in patient populations, infection sources, or specimen types. 

Interpret this data in conjunction with clinical guidelines, patient history, and local antimicrobial stewardship policies to ensure appropriate antibiotic use. 

• The reported resistance percentages indicate the proportion of tested isolates that were resistant to a given antibiotic. A higher percentage suggests reduced effectiveness for empirical treatment.

• Antibiotics with resistance rates above 20-30% may have limited effectiveness for empirical therapy, especially in serious infections. Consider alternative agents or combination therapy as needed

• Resistance trends may vary based on pathogen type, infection site, and patient population. Always refer to organism-specific data when making treatment decisions

• These resistance rates reflect local surveillance data and may differ from national or global patterns. Regular updates and comparison with broader datasets are recommended

• This antibiogram is a surveillance tool and should be interpreted in conjunction with clinical presentation, pharmacokinetics, and antimicrobial stewardship guidelines to optimize therapy.