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Mathematical Modelling and Challenges in the Development of Drug Resistance Mary Ann Horn Joint work with Erika D’Agata, Harvard Medical School and Glenn Webb, Vanderbilt University Vanderbilt University Department of Mathematics Enterococci What are enterococci? Vanderbilt University Department of Mathematics • Enterococci are bacteria found in the faeces of most humans and many animals. • Two types of enterococci are associated with normal healthy people, Enterococcus faecalis and Enterococcus faecium. Photo credit: University of Oklahoma Health Sciences Center 2 Enterococci Issues • • • Associated with both community and hospital-acquired infections Among the vanguard of antibiotic resistant bacteria Have acquired resistance genes to counter antibiotics that were once effective Vanderbilt University Department of Mathematics Photo credit: University of Oklahoma Health Sciences Center 3 Nosocomial Infections What does “nosocomial” mean? “Even a term adopted by the CDC--nosocomial infection obscures the true source of the germs. Nosocomial, derived from Latin, means hospital-acquired. CDC records show that the term was used to shield hospitals from the ‘embarrassment’ of germ-related deaths and injuries.” -- Michael J. Berens, Chicago Tribune, July 22, 2002 Vanderbilt University Department of Mathematics 4 Vanderbilt University Department of Mathematics 5 What infections are caused by enterococci? • Most common infections are urinary tract infections and wound infections. • Infections threatening severely ill patients include infection of the bloodstream (bacteraemia), heart valves (endocarditis) and the brain (meningitis). • Enterococci frequently colonize open wounds and skin ulcers. Vanderbilt University Department of Mathematics 6 Antibiotic Resistance • Most enterococci have inherent resistance to various drugs – – – – Cephalosporins Semi-synthetic penicillinase-resistant penicillins Clindamycin Aminoglycosides • Relatively resistant to other drugs – Penicillin – Ampicillin • Tolerant to cell-wall active agents – Ampicillin – Vancomycin Vanderbilt University Department of Mathematics 7 Vanderbilt University Department of Mathematics 8 Antibiotic Resistance (con’t) • Developed resistance – Plasmid-resistance Definition: A plasmid is an extrachromosomal ring of DNA (particularly of bacteria that replicate autonomously) – Transposon-mediated resistance • Tetracycline, minocycline, doxycycline • Erythromycin, azithromycin, clarithromycin • Etc. Developed within the past decade Vanderbilt University Department of Mathematics 9 Antibiotic Resistance (con’t) • Development of Multi-drug Resistance – Variety of different mechanisms for bacterial mating • Pheromone responsive plasmids • Broad host-range plasmids – Transfer among species of enterococci • Conjugative transposons – Transfer genetic information from cell to cell Vanderbilt University Department of Mathematics 10 Vancomycin Resistance • • • • Resistance to vancomycin unknown until 1986. First vancomycin-resistant enterococcus found in France. First strain isolated in 1987 in the United Kingdom. Similar strains now found world-wide. Vanderbilt University Department of Mathematics 11 How does vancomycin resistance arise? • Genetic mechanism gives rise to resistance – Models for phenotype evolution incorporating mutation, selection, and recombination exist – Mutation is typically modeled by diffusion • Related antibiotics included in animal feed, resulting in acquisition after ingestion • Antibiotic therapy in hospitals Vanderbilt University Department of Mathematics 12 Who is susceptible to VRE? • Patients who have been in hospital for extended periods. • Patients who have received certain antibiotics (vancomycin, teicoplanin, cephalosporins). • Patients fed by naso-gastric tube. • Outbreaks primarily reported from renal dialysis, transplant, haematology and ICUs. Vanderbilt University Department of Mathematics 13 Vancomycin-Resistant Enterococci (VRE) Treatment challenges • Range of antibiotics available for treatment are extremely limited. • Choice of antibiotics for treatment dependent upon strain. • Treatment delay due to time needed for laboratory results. Vanderbilt University Department of Mathematics 14 Patient Dynamics u0 UNCOLONIZED length of stay PATIENTS u0 OFF ANTIBIOTICS Pu0 new patients admitted u0 Start antibiotics u1 Stop antibiotics UNCOLONIZED PATIENTS ON ANTIBIOTICS Pu1 u1 length of stay u1 new patients admitted pp(1-) (Yh/Nh) c0 COLONIZED length of stay PATIENTS OFF ANTIBIOTICS c0 Pc0 new patients admitted Vanderbilt University Department of Mathematics c0 Start antibiotics c1 Stop antibiotics COLONIZED PATIENTS ON ANTIBIOTICS Pc1 c1 length of stay c1 new patients admitted 15 Health Care Worker Dynamics p0h0 (Pc0/Np) contamination from colonized patients on antibiotics UNCONTAMINATED HEALTH CARE WORKERS Hu p1h1 (Pc1/Np) contamination from colonized patients on antibiotics CONTAMINATED HEALTH CARE WORKERS Hc length of contamination Vanderbilt University Department of Mathematics 16 Epidemic Model for VRE in a Hospital Vanderbilt University Department of Mathematics 17 Parameters of the Model Parameter Symbol Value Number of hospitalized patients Np 400 Ratio of healthcare workers to patients 4 Number of uncolonized patients admitted / day Off antibiotics On antibiotics Number of colonized patients admitted / day Off antibiotics On antibiotics u0 u1 35 3 c0 c1 0.4 0.6 Length of hospital stay for Uncolonized patients off antibiotics Uncolonized patients on antibiotics Colonized patients off antibiotics Colonized patients on antibiotics u0 u1 c0 c1 1/5 (5 days) 1/14 (14 days) 1/28 (28 days) 1/28 (28 days) HCW contact rate / day With uncolonized patients With colonized patients p0 p1 8 10 Probability of HCW hand contamination per contact With uncolonized patients With colonized patients h0 h1 0.05 0.4 Probability of patient colonization per HCW contact p1 0.06 Antibiotics started (% / day) Uncolonized patients Colonized patients u0 c0 -log.85 ( 15% ) -log.84 ( 16% ) Antibiotics stopped (% / day) Uncolonized patients Colonized patients u1 c1 -log.85 ( 15% ) -log.96 ( 4%) Compliance with hand hygiene (between 0 and 1) .5 (50%) Duration of hand contamination 24 ( 1 hour) Vanderbilt University Department of Mathematics 18 SIMULATIONS WITH VARIABLE PATIENT-HCW RATIO Patient-HCW ratios are = 1 (red), 2 (green), 4 (blue), 6 (yellow) and 8 (purple) Vanderbilt University Department of Mathematics 19 SIMULATIONS WITH VARIABLE HYGIENE COMPLIANCE Hygiene compliance values are = .1 (red), .3 (green), .5 (blue), .7 (yellow) and .9 (purple) Vanderbilt University Department of Mathematics 20 SIMULATIONS WITH VARIABLE ANTIBIOTIC STOPPAGE OF COLONIZED PATIENTS Per day discontinuation of antibiotics (c1) of VRE colonized patients = 4% (red), 7% (green), 10% (blue), 15% (yellow) and 20% (purple) Vanderbilt University Department of Mathematics 21 SIMULATIONS WITH VARIABLE ANTIBIOTIC STOPPAGE OF UNCOLONIZED PATIENTS Per day discontinuation of antibiotics (u1) of VRE uncolonized patients = 4% (red), 7% (green), 10% (blue), 15% (yellow) and 20% (purple) Vanderbilt University Department of Mathematics 22 SIMULATIONS WITH VARIABLE LENGTH OF STAY OF COLONIZED PATIENTS ON ANTIBIOTICS Length of hospital stay for VRE colonized patients on antibiotics (c1) = 10 days (red), 14 days (green), 21 days (blue), 28 days (yellow) and 35 days (purple) Vanderbilt University Department of Mathematics 23 SIMULATION OF THE MODEL WITH NO ADMISSIONS OF COLONIZED PATIENTS (c0 = c1 =0) All parameters have baseline values except that the handwashing compliance = 0 .7. The colonized patient compartments extinguish over time. Vanderbilt University Department of Mathematics 24 Vancomycin-Resistant Enterococci (VRE) Preventing the spread of VRE--Conclusions • Restrict use of antibiotics, especially vancomycin, teicoplanin and cephalosporins. • Enforce scrupulous handwashing by all hospital staff. • Lower the ratio of patients to health care workers. • Cohort colonized patients. Vanderbilt University Department of Mathematics 25 Steady States of the Model (with c0 = c1 =0) • VRE Free Steady State • VRE Endemic Steady State Vanderbilt University Department of Mathematics 26 Vanderbilt University Department of Mathematics 27 Epidemic Model for VRE in a Hospital Conclusions • If c0 and c1 are assumed to be 0, then R0 can be calculated for this model (that is, there is no input of colonized patients either on or off antibiotics). • R0 is the number of secondary infections produced by a single infective in a new population of susceptibles. If R0 is greater than 1, then VRE becomes endemic in the hospital. If R0 is less than 1, then VRE extinguishes in the hospital. If either c0 or c1 is assumed to be positive, then VRE always becomes endemic. • • Vanderbilt University Department of Mathematics 28 Epidemic Model for VRE in a Hospital Conclusions Lower patient-healthcare worker ratios limit the prevalence of patients colonized with VRE (the benefit is less significant for higher ratios). Vanderbilt University Department of Mathematics 29 Epidemic Model for VRE in a Hospital Conclusions Improved compliance with handwashing limits the prevalence of patients colonized with VRE (the benefit is more significant for higher compliance values). Vanderbilt University Department of Mathematics 30 Epidemic Model for VRE in a Hospital Conclusions Starting unnecessary antimicrobial therapy has a greater impact when targeted to patients who are not colonized with VRE, compared to patients colonized with VRE Vanderbilt University Department of Mathematics 31 Epidemic Model for VRE in a Hospital Conclusions Stopping unnecessary antimicrobial therapy has a greater impact when targeted to patients who are not colonized with VRE, as compared to patients colonized with VRE Vanderbilt University Department of Mathematics 32 Epidemic Model for VRE in a Hospital Conclusions Prolonging the duration of hospitalization of colonized patients increases the prevalence of VRE (but the increase is less significant for longer LOS) . Vanderbilt University Department of Mathematics 33 Final Thoughts Discouraging News • First case of vancomycin-resistant Staphylococcus aureus (VRSA) confirmed in 40-year-old Michigan diabetic with kidney failure in July 2002 • In the U.S., methicillin-resistant Staphylococcus aureus (MRSA) rates as high as 60% in some facilities Vanderbilt University Department of Mathematics 34 Final Thoughts Hope for the Future • Pharma companies working on veterinary phages that counter E. coli and salmonella in animals are now moving into human infections such as MRSA and VRE • Immunization approaches under development – Vaccine preventing middle ear infections in children on the market – Clinical studies underway for an anti-MRSA vaccine called StaphVac – A TB vaccine is now being tested on animals that could counter the multidrug-resistant strain now endemic in the third world Vanderbilt University Department of Mathematics 35