Survey
* Your assessment is very important for improving the workof artificial intelligence, which forms the content of this project
* Your assessment is very important for improving the workof artificial intelligence, which forms the content of this project
Drug Resistance Index (DRI): A Tool for Managing Antibiotic Resistance Aditi A. 1,2 Sharma , 1 Braykov , 1,2 Pitchik , Nikolay Helen 1,2,3 Ramanan Laxminarayan Suraj 1,2 Pant , 1. Center for Disease Dynamics, Economics and Policy, 2. Public Health Foundation of India, 3. Princeton University New Delhi, India Background With the rise of ‘superbugs,’ it has become clear, not just to the medical profession, but also to those following media stories, that antibiotics are losing effectiveness around the world. Despite increased attention to the resistance problem, there has been little progress in allocating financial resources either to conserve the effectiveness of existing drugs, or to incentivize the development of new antibiotics. There are hundreds of bacteria-antibiotic combinations, resistance patterns are in constant flux, and some antibiotics are more important to preserve than others. These factors make it difficult for a non-expert to track the evolution of the antibiotic resistance problem. The Drug Resistance Index (DRI) was developed as a composite measure that combines the ability of antibiotics to treat infections with the extent of their use in clinical practice. The DRI helps quantify and communicate overall changes in the effectiveness of the antibiotic arsenal within a given setting (hospital, region, country) in a more intuitive way. Methodology Assessing an intervention with the DRI 1. The DRI should be comparable across time and location so that it can be used to measure changes in drug effectiveness over time across hospitals, regions, states or countries. 2. The DRI should be calculated with minimal data requirements that include the maximum level of detail (disaggregated by month or date, and by patient location). Calculation involves two major components: proportion of non-susceptible isolates and weighted antibiotic use. Fixed-used Adaptive Two forms of the DRI are calculated: the fixed use (static) and the adaptive (dynamic). Comparison of the two allows for the assessment of the effectiveness of antimicrobial stewardship interventions. ρtik is the proportion of resistance among organism i to drug k at time t and q0ik is the weighted antibiotic use of drug k used to treat organism i in the base year of the analysis, while qtik tracks antibiotic use over time. • Antibiotic Resistance- measured by the susceptibility information on clinical isolates tested at a facility’s lab. What is the Drug Resistance Index (DRI)? The Drug Resistance Index (DRI) aggregates information about antibiotic resistance and antibiotic use into a single composite measure that quantifies the decay of antibiotic effectiveness over time. It is an epidemiological and communications tool to convey trends in drug resistance to non-experts: healthcare managers, policymakers, and media about the overall extent and evolution of antibiotic resistance of acute and non acute patient settings. The DRI expresses the resistance*drug use relationship in a scale from 0-1, • A value of 1 means that infections are untreatable with any of the antibiotics used in the given setting. • A value of 0 means all isolates included in the . calculation were susceptible. . • Values in between express overall susceptibility of infections, adjusted for local prescribing practices. Figure 2: Antibiotic Resistance is calculated as the proportion of non-susceptible isolates over the total number of isolates. The figure above demonstrates the proportion of non-susceptible isolates in five different classes of antibiotic drugs. Categorical susceptibility results should be aggregated by bacterial species and drug class of antibiotics. For the purposes of this study, “Resistant” and “Non-susceptible” (Resistant +Intermediates) may be used interchangeably. Data can be exported from WHONET or the laboratory information systems. • Weighted antibiotic use- Volume of antibiotics dispensed. Figure 3: Antibiotic Use. The resistance of a pathogen to a specific drug should be weighted by the extent to which that drug is used for treating the pathogen, in much the same way that an inflation index weights the price of different commodities by the average share of income devoted to them. This is calculated by looking at the proportion of use of a particular drug as compared to all the drugs used. Defined Daily Dose (DDD) is the preferred unit of measurement. Figure 1: Sample DRI summarizes annual resistance of 3 species of uropathogens to 5 antibiotic drug classes. DRI values are represented on a scale from 0 to 1. 3. The DRI should be simple for policymakers, the lay public and non-infectious disease medical practitioners to comprehend. 4. The resistance index should be sensitive to changes in the types of drugs being used. Figure 4: The comparison of adaptive and fixed DRI reflects how effective antibiotics would have been after new interventions and treatment options were introduced. Both fixed and adaptive DRIs show resistance stopped increasing after 2004, when the introduction of MRSA universal screening stabilized the proportion of drug-resistant Gram-positive organisms. Introduction of linezolid in 2003 brings the adaptive DRI (blue line) down, as the powerful drug gives physicians more treatment options. As its share of overall use is increasing, it contributes to lower DRI. The fixed DRI (red line) does not reflect this decrease, as it is based on antibiotic usage in the baseline year (1999), when there was no linezolid. The Utility of the DRI Clinicians and antimicrobial stewards: • Summarize trends for epidemiological reporting. • Measure overall effect of prescribing interventions on resistance. • Utilize routinely generated data more efficiently. Administrators and policymakers: • Benchmark performance against other DRI adopters to guide resource allocation for stewardship or improvements in infection control. • Aggregate at national/regional level to illustrate dearth of new drugs and call for policy action. Conclusions • Antibiotic resistance imposes a substantial public health burden. Quantifying overall changes in resistance over time and across locations is difficult because resistance of pathogens to individual drugs must be aggregated to assess overall burden. Here, we take a first step towards the development of resistance indices, summarizing resistance at the level of the infectious agent. • A DRI can be a valuable part of an antimicrobial stewardship toolkit, helping clinicians tailor antibiotic purchasing and prescribing policies to an individual hospital’s resistance profile, and informing hospital administrators about the relative success of different interventions. References Laxminarayan R, Klugman KP. Communicating Trends(A) in Figure 2. Dynamic imaging of in vivo cell motility by multiphoton intravital microscopy. In conventional one-photon microscopy, single high energy photons excite fluorophores from a ground state to resistance a drugreturns resistance index. BMJ 2011. an excited state.using As the fluorophore to its unexcited ground state dueOpen. to vibrational relaxation, it emits fluorescence. During two-photon microscopy, two infrared photons, typically identical photons each possessing half the energy required of one-photon microscopy, are absorbed simultaneously to excite the fluorophore. Vibrational relaxation and fluorescent emission occur as in one-photon microscopy. (B) In twophoton microscopy, a titanium:sapphire laser releases short (~100 femtosecond), high-intensity pulses of infrared light onto a thick specimen. Stacks of optical sections are generated, and serially reacquired. These optical sections form z stacks, which can be then compiled into 3D images or movies. Cells may then be tracked over time and motility parameters can be calculated. Acknowledgements We would like to thank the members of the Center for Disease Dynamics, Economics and Policy and the Public Health Foundation of India for their guidance and support. This project was supported by the Global Antibiotic Resistance Partnership under a grant from the Bill & Melinda Gates Foundation and by the Extending the Cure project under a grant from the Robert Wood Johnson Foundation’s Pioneer Portfolio.