Cargando…

How to measure the impacts of antibiotic resistance and antibiotic development on empiric therapy: new composite indices

OBJECTIVES: We aimed to construct widely useable summary measures of the net impact of antibiotic resistance on empiric therapy. Summary measures are needed to communicate the importance of resistance, plan and evaluate interventions, and direct policy and investment. DESIGN, SETTING AND PARTICIPANT...

Descripción completa

Detalles Bibliográficos
Autores principales: Hughes, Josie S, Hurford, Amy, Finley, Rita L, Patrick, David M, Wu, Jianhong, Morris, Andrew M
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BMJ Publishing Group 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5168677/
https://www.ncbi.nlm.nih.gov/pubmed/27986734
http://dx.doi.org/10.1136/bmjopen-2016-012040
_version_ 1782483391558451200
author Hughes, Josie S
Hurford, Amy
Finley, Rita L
Patrick, David M
Wu, Jianhong
Morris, Andrew M
author_facet Hughes, Josie S
Hurford, Amy
Finley, Rita L
Patrick, David M
Wu, Jianhong
Morris, Andrew M
author_sort Hughes, Josie S
collection PubMed
description OBJECTIVES: We aimed to construct widely useable summary measures of the net impact of antibiotic resistance on empiric therapy. Summary measures are needed to communicate the importance of resistance, plan and evaluate interventions, and direct policy and investment. DESIGN, SETTING AND PARTICIPANTS: As an example, we retrospectively summarised the 2011 cumulative antibiogram from a Toronto academic intensive care unit. OUTCOME MEASURES: We developed two complementary indices to summarise the clinical impact of antibiotic resistance and drug availability on empiric therapy. The Empiric Coverage Index (ECI) measures susceptibility of common bacterial infections to available empiric antibiotics as a percentage. The Empiric Options Index (EOI) varies from 0 to ‘the number of treatment options available’, and measures the empiric value of the current stock of antibiotics as a depletable resource. The indices account for drug availability and the relative clinical importance of pathogens. We demonstrate meaning and use by examining the potential impact of new drugs and threatening bacterial strains. CONCLUSIONS: In our intensive care unit coverage of device-associated infections measured by the ECI remains high (98%), but 37–44% of treatment potential measured by the EOI has been lost. Without reserved drugs, the ECI is 86–88%. New cephalosporin/β-lactamase inhibitor combinations could increase the EOI, but no single drug can compensate for losses. Increasing methicillin-resistant Staphylococcus aureus (MRSA) prevalence would have little overall impact (ECI=98%, EOI=4.8–5.2) because many Gram-positives are already resistant to β-lactams. Aminoglycoside resistance, however, could have substantial clinical impact because they are among the few drugs that provide coverage of Gram-negative infections (ECI=97%, EOI=3.8–4.5). Our proposed indices summarise the local impact of antibiotic resistance on empiric coverage (ECI) and available empiric treatment options (EOI) using readily available data. Policymakers and drug developers can use the indices to help evaluate and prioritise initiatives in the effort against antimicrobial resistance.
format Online
Article
Text
id pubmed-5168677
institution National Center for Biotechnology Information
language English
publishDate 2016
publisher BMJ Publishing Group
record_format MEDLINE/PubMed
spelling pubmed-51686772016-12-22 How to measure the impacts of antibiotic resistance and antibiotic development on empiric therapy: new composite indices Hughes, Josie S Hurford, Amy Finley, Rita L Patrick, David M Wu, Jianhong Morris, Andrew M BMJ Open Infectious Diseases OBJECTIVES: We aimed to construct widely useable summary measures of the net impact of antibiotic resistance on empiric therapy. Summary measures are needed to communicate the importance of resistance, plan and evaluate interventions, and direct policy and investment. DESIGN, SETTING AND PARTICIPANTS: As an example, we retrospectively summarised the 2011 cumulative antibiogram from a Toronto academic intensive care unit. OUTCOME MEASURES: We developed two complementary indices to summarise the clinical impact of antibiotic resistance and drug availability on empiric therapy. The Empiric Coverage Index (ECI) measures susceptibility of common bacterial infections to available empiric antibiotics as a percentage. The Empiric Options Index (EOI) varies from 0 to ‘the number of treatment options available’, and measures the empiric value of the current stock of antibiotics as a depletable resource. The indices account for drug availability and the relative clinical importance of pathogens. We demonstrate meaning and use by examining the potential impact of new drugs and threatening bacterial strains. CONCLUSIONS: In our intensive care unit coverage of device-associated infections measured by the ECI remains high (98%), but 37–44% of treatment potential measured by the EOI has been lost. Without reserved drugs, the ECI is 86–88%. New cephalosporin/β-lactamase inhibitor combinations could increase the EOI, but no single drug can compensate for losses. Increasing methicillin-resistant Staphylococcus aureus (MRSA) prevalence would have little overall impact (ECI=98%, EOI=4.8–5.2) because many Gram-positives are already resistant to β-lactams. Aminoglycoside resistance, however, could have substantial clinical impact because they are among the few drugs that provide coverage of Gram-negative infections (ECI=97%, EOI=3.8–4.5). Our proposed indices summarise the local impact of antibiotic resistance on empiric coverage (ECI) and available empiric treatment options (EOI) using readily available data. Policymakers and drug developers can use the indices to help evaluate and prioritise initiatives in the effort against antimicrobial resistance. BMJ Publishing Group 2016-12-16 /pmc/articles/PMC5168677/ /pubmed/27986734 http://dx.doi.org/10.1136/bmjopen-2016-012040 Text en Published by the BMJ Publishing Group Limited. For permission to use (where not already granted under a licence) please go to http://www.bmj.com/company/products-services/rights-and-licensing/ This is an Open Access article distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited and the use is non-commercial. See: http://creativecommons.org/licenses/by-nc/4.0/
spellingShingle Infectious Diseases
Hughes, Josie S
Hurford, Amy
Finley, Rita L
Patrick, David M
Wu, Jianhong
Morris, Andrew M
How to measure the impacts of antibiotic resistance and antibiotic development on empiric therapy: new composite indices
title How to measure the impacts of antibiotic resistance and antibiotic development on empiric therapy: new composite indices
title_full How to measure the impacts of antibiotic resistance and antibiotic development on empiric therapy: new composite indices
title_fullStr How to measure the impacts of antibiotic resistance and antibiotic development on empiric therapy: new composite indices
title_full_unstemmed How to measure the impacts of antibiotic resistance and antibiotic development on empiric therapy: new composite indices
title_short How to measure the impacts of antibiotic resistance and antibiotic development on empiric therapy: new composite indices
title_sort how to measure the impacts of antibiotic resistance and antibiotic development on empiric therapy: new composite indices
topic Infectious Diseases
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5168677/
https://www.ncbi.nlm.nih.gov/pubmed/27986734
http://dx.doi.org/10.1136/bmjopen-2016-012040
work_keys_str_mv AT hughesjosies howtomeasuretheimpactsofantibioticresistanceandantibioticdevelopmentonempirictherapynewcompositeindices
AT hurfordamy howtomeasuretheimpactsofantibioticresistanceandantibioticdevelopmentonempirictherapynewcompositeindices
AT finleyrital howtomeasuretheimpactsofantibioticresistanceandantibioticdevelopmentonempirictherapynewcompositeindices
AT patrickdavidm howtomeasuretheimpactsofantibioticresistanceandantibioticdevelopmentonempirictherapynewcompositeindices
AT wujianhong howtomeasuretheimpactsofantibioticresistanceandantibioticdevelopmentonempirictherapynewcompositeindices
AT morrisandrewm howtomeasuretheimpactsofantibioticresistanceandantibioticdevelopmentonempirictherapynewcompositeindices