Even the most common problems in antibiotic treatment do not have simple solutions. Choosing one antibiotic drug from among several candidates entails balancing the benefits and the detriments associated with each. In this article we engage the reader in a common scenario—deciding which drug to prescribe for a patient with urosepsis—which illustrates the dilemmas in antibiotic prescribing.
Summary points
In choosing antibiotic treatment, the benefits and detriments associated with each drug should be compared
Cost effectiveness analysis can serve as a framework for such a comparison
The benefit associated with appropriate antibiotic treatment may be so great that drug costs and side effects become secondary considerations
The development of future resistance is the major concern
In choosing antibiotic treatment, doctors have to choose between the interests of present and future patients
Scenario
You are a hospital doctor. An 83 year old man is admitted to your department at 2 am because of fever (temperature 38.7°C), dysuria, and chills. On the basis of clinical findings and microscopic examination of his urine, you decide that the patient has a severe urinary tract infection and needs intravenous antibiotic treatment.
In people of his age with urinary tract infection, the most common pathogens are Escherichia coli (about 60% of cases), Proteus mirabilis (10%), and Klebsiella pneumoniae (10%).1,2 The susceptibility of common pathogens to a range of antibiotics is reported yearly by the microbiology laboratory at your hospital. From this you calculate that ampicillin will cover 40% of pathogens, second generation cephalosporins 75%, gentamicin 92%, third generation cephalosporins 95%, and imipenem 100%.
You believe that empirical antibiotic treatment matching the in vitro susceptibility of the pathogen will afford the patient the best chance of survival and an uneventful recovery.3–5 However, you have been told repeatedly by the head of the department that the budget is limited and third generation cephalosporins and imipenem are disproportionately expensive. About 10% of patients treated with gentamicin develop nephrotoxicity, and a similar percentage develop mild ototoxicity. Severe side effects occur in fewer than 1% of patients taking gentamicin. You are aware that advanced age is a risk factor for nephrotoxicity.6 On the other hand, within 48 hours you may be able to change to another drug, given the in vitro susceptibility of the pathogen.
The thought that a healthy and active 83 year old man will need haemodialysis because of a drug that you have prescribed is frightening, so you decide to order a second generation cephalosporin. Still, you are not altogether happy about the fact that you have reduced the antibiotic coverage by 7%-15% because of your concern about the high costs and fear of side effects associated with other antibiotics. You wish that the balance of benefits and detriments of antibiotic drugs could have been weighed at leisure somewhere else and that you had evidence based guidelines to help you make a choice.
Deliberations of the drug committee
First meeting
Meanwhile, the drug committee in your hospital is convened to do exactly that. The heads of the infectious diseases unit and pharmacy and the manager of the hospital haggle over which antibiotic drug should be advised for an elderly patient with suspected urosepsis. The pharmacist shows the others a list of drug prices (table 1). The costs of administration—the time of the doctor, nurse, and pharmacist—and the cost of intravenous access should also be taken into account. For aminoglycosides, determination of blood concentrations and monitoring of kidney function should be included too.
Table 1.
Cost of 1 day’s treatment with antibiotics
| Drug | Cost in $US (£) |
|---|---|
| Ampicillin | 12 (7) |
| Gentamicin | 14 (8) |
| Cefotaxime | 92 (56) |
| Cefuroxime | 76 (46) |
| Imipenem | 110 (67) |
The hospital manager is adamant that either gentamicin or ampicillin must be chosen. Antibiotics accounted for 50% of the pharmaceutical budget last year,7 and the hospital’s financial position is precarious. However, the specialist in infectious diseases claims that with such a low rate of coverage, ampicillin is not a feasible option. And another consideration must be taken into account—the resistance of Gram negative pathogens in the hospital is rising steadily, probably induced by consumption of antibiotics.8 In a few years the hospital may face pathogens that are resistant to all drugs,9–11 and patients may pay dearly in terms of increased mortality and morbidity. Third generation cephalosporins are major culprits12–15; imipenem probably less so. However, the increase in resistance to aminoglycosides is slow.16
The hospital manager wants to know what to choose—which is the most cost effective drug. The others tell him that the answer lies in a cost effectiveness model, but both the data and structure for a cost effectiveness analysis are lacking.
An attempt at cost effectiveness analysis
A study on long term survival after bacteraemia provides some of the data needed for cost effectiveness analysis.17 In this study, 1234 patients with Gram negative infections of the bloodstream were followed for a median of 17 months. The influence on survival of appropriate empirical antibiotic treatment, functional capacity, age, hospital acquired infection, septic shock, neutropenia, malignancy, and serum albumin and creatinine concentrations were modelled using Cox regression analysis (unpublished data).17,18 Empirical antibiotic treatment was considered appropriate if the infecting pathogen was subsequently found to be susceptible in vitro to the drug administered. The multivariable adjusted median survival of patients given appropriate empirical antibiotic treatment was longer by 12.6 months than that of patients given inappropriate treatment, and the hospital stay was shorter by one day. (The cost of a one day stay in our hospital is about $350 (£213).) The susceptibilities of the 1234 isolates to antibiotic drugs were as follows: ampicillin 43%, cefuroxime 61%, cefotaxime 74%, gentamicin 77%, and imipenem 98%.
The costs of the drug, administration, monitoring, and side effects 19–22 for the five drugs in our hospital are given in table 2. Thus, the marginal cost of one life year for preferring imipenem to ampicillin as empirical treatment $48 (£29), the marginal cost for preferring imipenem to cefuroxime and cefotaxime is zero, and the marginal cost for preferring imipenem to gentamicin is $253 (£154). These costs depend strongly on the benefit of empirical treatment. Confidence in the survival data is increased by the fact that similar survival curves have been reported by two other groups.23,24 Even in patients with the worst prognosis (those with malignancy or septic shock, or those who are very old) appropriate empirical antibiotic treatment bought more than one month of life. Assuming that we buy only one month of life, the cost of one life year caused by preferring imipenen over the other drugs is still less than $1000 (£609). The figure is lower by an order of magnitude than the cost of gaining one life year with other established treatments—$20 000 (£12 200) for treating severe hypertension or $35 000 (£21 350) for haemodialysis.25
Table 2.
Cost of 2 days’ empirical treatment. Costs given in $US (£)
| Antibiotic | Drug and administration | Side effects | Monitoring | Total cost |
|---|---|---|---|---|
| Ampicillin | 42 (26) | 70 (43) | 0 | 112 (68) |
| Gentamicin | 38 (23) | 126 (77) | 18 (11) | 182 (111) |
| Cefotaxime | 214 (130) | 76 (46) | 6 (4) | 296 (180) |
| Cefuroxime | 182 (111) | 60 (36) | 6 (4) | 248 (151) |
| Imipenem | 250 (152) | 76 (46) | 6 (4) | 332 (202) |
It turns out that, taking into account only the cost of the drug, its administration, and side effects, we should prescribe the broadest spectrum antibiotic available for every patient suspected of harbouring a severe bacterial infection. In other words, the only valid argument against maximum antibiotic coverage for every patient is the development of future resistance.
Subsequent discussion
The infectious diseases specialist says that if this analysis is true the rates of development of antibiotic resistance in the hospital should be looked at first, and an attempt should be made to correlate these with the consumption of antibiotics. In hospitals with low rates of resistance, and for some drugs, these relations are almost linear.26 Unfortunately, this is not the case in your hospital. No model is available from which to extrapolate resistance from the consumption of antibiotics, nor is the cost of the future resistance known. In addition, antibiotic resistance will result in an increase in morbidity and mortality, because more patients will be given inappropriate treatment. The specialist agrees to produce a ranking of the antibiotics in terms of induction of future resistance.
The manager says that many patients are treated with antibiotic drugs. That cost effectiveness analysis might result in a policy that will be costly during the next year or so, yet save money later. But even if such a policy makes sense, the budget for the next year might not allow it.
The specialist in infectious diseases states that, taking all this into account, he would advise gentamicin as empirical treatment for severe urinary tract infections but would switch on day 2 or day 3 to another drug, probably an oral quinolone, depending on the in vitro susceptibilities of the pathogen isolated.27
However, the pharmacist believes that this single recommendation will not make much of a difference. The drug committee has discussed one simple infection. What about other sites of infection? How are the recommendations to be implemented? Will the implementation achieve its goals?
Back to the dilemma
Two days after admission your patient is doing well. The deliberations of the drug committee are brought to your attention. You believe that the explicit balance of antibiotic treatments and the introduction of data are helpful, but you are uneasy about having one simple guideline to cover such a diversity of patients. It clashes with your belief that treatment should be tailored to the patient. You are not surprised that empirical treatment matching the in vitro susceptibility of the pathogen affords a patient with severe infection a better chance of survival. (Doctors work daily on that assumption.) But you wonder whether prescribing a drug that affords less than the maximum coverage is the right thing to do. It may well slow down the development of resistance and give future patients (to whom you have a duty too) a better chance for an uneventful recovery ... but your main duty is to your present patient. How do you balance the two duties? Furthermore, you were taught that major medical decisions should be taken together, by patient and doctor. What do you tell your patient?
Conclusions
Even the most common problems in antibiotic treatment do not have simple solutions. Choosing an antibiotic drug from among several candidates (including no treatment) entails analysing the benefits and the detriments associated with each drug and balancing each one against the others. In this scenario, matching the in vitro susceptibility of the pathogen was associated with substantial advantage—an advantage so great that the cost of the drug and side effects were rendered secondary considerations. However, the development of future resistance remained the major concern.
We need a framework that enables us to balance the benefits and detriments of antibiotic drugs in any given situation. Cost effectiveness analysis can provide such a framework, but it must take into account the consequences of future resistance. However, even in the absence of a complete framework and complete data, approximations can be usefully made.
It is doubtful if simple guidelines are successful in improving antibiotic usage.28,29 Bedside computerised decision support tools, based on local data, may perform better and be more acceptable to the doctor.30–32
Reaching an agreement on antibiotic policy is difficult, even given the results of a cost effectiveness analysis. The considerations of the patient, the doctor, and the policymaker may differ. The important decision in antibiotic treatment turns out to be a choice between present and future patients.
Footnotes
Funding: Supported in part by a grant from the Telemetics Program of the European Union (HC-REMA).
Competing interests: None declared.
References
- 1.Dolan JG, Bordley DR, Polito R. Initial management of serious urinary tract infection: epidemiological guidelines. J Gen Intern Med. 1989;4:190–194. doi: 10.1007/BF02599521. [DOI] [PubMed] [Google Scholar]
- 2.Esposito AL, Gleckman RA, Cram S, Crowley M, McCabe F, Drapkin MS. Community-acquired bacteremia in the elderly: analysis of one hundred consecutive episodes. J Am Geriatr Soc. 1980;28:315–319. doi: 10.1111/j.1532-5415.1980.tb00622.x. [DOI] [PubMed] [Google Scholar]
- 3.Jones GR, Lowes JA. The systemic inflammatory response syndrome as predictor of bacteraemia and outcome from sepsis. Q J Med. 1996;89:515–522. doi: 10.1093/qjmed/89.7.515. [DOI] [PubMed] [Google Scholar]
- 4.Meyers BR, Sherman E, Mendelson MH, Velasquez G, Srulevitch-Chin E, Hubbard M, Hirschman SZ. Bloodstream infections in the elderly. Am J Med. 1989;86:379–384. doi: 10.1016/0002-9343(89)90333-1. [DOI] [PubMed] [Google Scholar]
- 5.Gransden WR, Eykyn SJ, Phillips I, Rowe B. Bacteremia due to Escherichia coli: a study of 861 episodes. Rev Infect Dis. 1990;12:1008–1018. doi: 10.1093/clinids/12.6.1008. [DOI] [PubMed] [Google Scholar]
- 6.Moore RD, Smith CR, Lipsky JJ, Mellits ED, Lietman PS. Risk factors for nephrotoxicity in patients treated with aminoglycosides. Ann Intern Med. 1984;100:352–357. doi: 10.7326/0003-4819-100-3-352. [DOI] [PubMed] [Google Scholar]
- 7.Berman JR, Zaran FK, Rybak MJ. Pharmacy-based antimicrobial-monitoring service. Am J Hosp Pharm. 1992;49:1701–1706. [PubMed] [Google Scholar]
- 8.Standing Medical Advisory Committee, Sub-Group on Antimicrobial Resistance. The path of least resistance. London: Department of Health; 1998. www.doh.gov.uk/smac1.htm ( www.doh.gov.uk/smac1.htm; accessed 11 May 1999.) ; accessed 11 May 1999.) [Google Scholar]
- 9.Tomasz A. Multiple antibiotic resistant pathogenic bacteria. N Engl J Med. 1994;330:1247–1251. doi: 10.1056/NEJM199404283301725. [DOI] [PubMed] [Google Scholar]
- 10.Morris JG, Shay DK, Hebden JN, McCarter RJ, Perdue BE, Jarvis W, et al. Enterococci resistant to multiple antimicrobial agents, including vancomycin: establishment of endemicity in a university medical center. Ann Intern Med. 1995;123:250–259. doi: 10.7326/0003-4819-123-4-199508150-00002. [DOI] [PubMed] [Google Scholar]
- 11.Go ES, Urban C, Burns J, Kreiswirth B, Eisner W, Mariano N, et al. Clinical and molecular epidemiology of acinetobacter infections sensitive only to polymyxin B and sulbactam. Lancet. 1994;344:1329–1332. doi: 10.1016/s0140-6736(94)90694-7. [DOI] [PubMed] [Google Scholar]
- 12.Burwen DR, Banerjee SN, Gaynes RP. Ceftazidime resistance among selected nosocomial Gram-negative bacilli in the United States. National nosocomial infections surveillance system. J Infect Dis. 1994;170:1622–1625. doi: 10.1093/infdis/170.6.1622. [DOI] [PubMed] [Google Scholar]
- 13.Ballow CH, Schentag JJ. Trends in antibiotic utilization and bacterial resistance. Report of the National Nosocomial Resistance Surveillance Group. Diagn Microbiol Infect Dis. 1992;15(suppl 2):S37–S42. [PubMed] [Google Scholar]
- 14.Chow JW, Fine MJ, Shlaes DM, Quinn JP, Johnson MP, Ramphal R, et al. Enterobacter bacteremia: clinical features and emergence of antibiotic resistance during therapy. Ann Intern Med. 1991;115:585–590. doi: 10.7326/0003-4819-115-8-585. [DOI] [PubMed] [Google Scholar]
- 15.Courcol RJ, Pinkas M, Martin GR. A seven year survey of antibiotic susceptibility and its relationship with usage. J Antimicrob Chemother. 1989;23:441–451. doi: 10.1093/jac/23.3.441. [DOI] [PubMed] [Google Scholar]
- 16.Gerding DN, Larson TA, Hughes RA, Weiler M, Shanholtzer C, Peterson LR. Aminoglycoside resistance and aminoglycoside usage: ten years of experience in one hospital. Antimicrob Agents Chemother. 1991;35:1284–1290. doi: 10.1128/aac.35.7.1284. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 17.Leibovici L, Samra Z, Konigsberger H, Drucker M, Ashkenazi S, Pitlik SD. Long-term survival following bacteremia or fungemia. JAMA. 1995;274:807–812. [PubMed] [Google Scholar]
- 18.Leibovici L, Shraga I, Drucker M, Konigsberger H, Samra Z, Pitlik SD. The benefit of appropriate empirical antibiotic treatment in patients with bloodstream infection. J Intern Med. 1998;244:379–386. doi: 10.1046/j.1365-2796.1998.00379.x. [DOI] [PubMed] [Google Scholar]
- 19.Holloway JJ, Craig CR, Moore RD, Feroli ER, Lietman PS. Comparative cost-effectiveness of gentamycin and tobramicin. Ann Intern Med. 1984;101:764–769. doi: 10.7326/0003-4819-101-6-764. [DOI] [PubMed] [Google Scholar]
- 20.Eisenberg JM, Koffer H, Glick HA, Connell ML, Loss LE, Talbot GH, Shusterman NH, Strom BL. What is the cost of nephrotoxicity associated with aminoglycosides? Ann Intern Med. 1987;107:900–909. doi: 10.7326/0003-4819-107-6-900. [DOI] [PubMed] [Google Scholar]
- 21.Garrelts JC, Horst WD, Silkey B, Gagnon S. A pharmacoeconomic model to evaluate antibiotic costs. Pharmacotherapy. 1994;14:438–445. [PubMed] [Google Scholar]
- 22.Leibovici L, Shraga I. Side-effects of antibiotic drugs: Meta-analysis of observational data. J Hosp Infect. 1998;40(suppl A):W4C. [Google Scholar]
- 23.Perl TM, Dvorak M, Hwang T, Wenzel RP. Long-term survival and function after suspected gram-negative sepsis. JAMA. 1995;274:338–345. [PubMed] [Google Scholar]
- 24.Quartin AA, Schein RMH, Kett DH, Peduzzi PN. Magnitude and duration of the effect of sepsis on survival. JAMA. 1997;277:1058–1063. [PubMed] [Google Scholar]
- 25.Mark DB. Economic analysis methods and endpoints. In: Califf RM, Mark DB, Wagner GS, editors. Acute coronary care in the thrombolytic area. 2nd ed. St Louis: Mosby Year Book; 1995. pp. 167–182. [Google Scholar]
- 26.Møller JK. Antimicrobial usage and microbial resistance in a university hospital during a seven-years period. J Antimicrob Chemother. 1989;24:983–992. doi: 10.1093/jac/24.6.983. [DOI] [PubMed] [Google Scholar]
- 27.Sundman K, Arneborn P, Blad L, Sjoberg L, Vikerfors T. One bolus dose of gentamycin and early oral therapy versus cefotaxime and subsequent oral therapy in the treatment of febrile urinary tract infection. Eur J Clin Microbiol Infect Dis. 1997;16:455–458. doi: 10.1007/BF02471910. [DOI] [PubMed] [Google Scholar]
- 28.Burke JP. Antibiotic resistance—squeezing the balloon? JAMA. 1998;280:1270–1271. doi: 10.1001/jama.280.14.1270. [DOI] [PubMed] [Google Scholar]
- 29.Rahal JJ, Urban C, Horn D, Freeman K, Segal-Maurer S, Maurer J, et al. Class restriction of cephalosporin use to control total cephalosporin resistance in nosocomial klebsiella. JAMA. 1998;280:1233–1237. doi: 10.1001/jama.280.14.1233. [DOI] [PubMed] [Google Scholar]
- 30.Pestotnik SL, Classen DC, Evans RS, Burke JP. Implementing antibiotic practice guidelines through computer-assisted decision support: clinical and financial outcomes. Ann Intern Med. 1996;124:884–890. doi: 10.7326/0003-4819-124-10-199605150-00004. [DOI] [PubMed] [Google Scholar]
- 31.Evans RS, Classen DC, Pestotnik SL, Lundsgaarde HP, Burke JP. Improving empiric antibiotic selection using computer decision support. Arch Intern Med. 1994;154:878–884. [PubMed] [Google Scholar]
- 32.Leibovici L, Gitelman V, Yehezkelli Y, Poznanski O, Milo G, Paul M, Ein-Dor P. Improving empirical antibiotic treatment: Prospective, nonintervention testing of a decision support system. J Intern Med. 1997;242:395–400. doi: 10.1046/j.1365-2796.1997.00232.x. [DOI] [PubMed] [Google Scholar]
