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Leonard Leibovici a Sackler Faculty of Medicine, Tel-Aviv
University, Ramat-Aviv, Tel-Aviv, 69978 Israel, b Department of Medical Informatics, Aalborg University,
Aalborg, 9000 Denmark
Correspondence to: L Leibovici, Department of Medicine, Rabin
Medical Center, Beilinson Campus, Petah-Tiqva, 49100 Israel
leibovic{at}post.tau.ac.il
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
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.
First meeting
Table 1.
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
![]()
Deliberations of the drug committee
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.
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%.
$20 000 (£12 200) for treating severe hypertension or
$35 000 (£21 350) for
haemodialysis.25
|
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.
| |
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[Medline]. |
| 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[Medline]. |
| 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[Abstract]. |
| 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[Medline]. |
| 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[Medline]. |
| 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. |
| 7. | Berman JR, Zaran FK, Rybak MJ. Pharmacy-based antimicrobial-monitoring service. Am J Hosp Pharm 1992; 49: 1701-1706[Abstract]. |
| 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; accessed 11 May 1999.) |
| 9. |
Tomasz A.
Multiple antibiotic resistant pathogenic bacteria.
N Engl J Med
1994;
330:
1247-1251 |
| 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 |
| 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[Medline]. |
| 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[Medline]. |
| 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. |
| 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. |
| 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 |
| 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. |
| 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[Abstract]. |
| 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[Medline]. |
| 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. |
| 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. |
| 21. | Garrelts JC, Horst WD, Silkey B, Gagnon S. A pharmacoeconomic model to evaluate antibiotic costs. Pharmacotherapy 1994; 14: 438-445[Medline]. |
| 22. | Leibovici L, Shraga I. Side-effects of antibiotic drugs: Meta-analysis of observational data. J Hosp Infect 1998; 40(suppl A): W4C. |
| 23. | Perl TM, Dvorak M, Hwang T, Wenzel RP. Long-term survival and function after suspected gram-negative sepsis. JAMA 1995; 274: 338-345[Abstract]. |
| 24. | Quartin AA, Schein RMH, Kett DH, Peduzzi PN. Magnitude and duration of the effect of sepsis on survival. JAMA 1997; 277: 1058-1063[Abstract]. |
| 25. | Mark DB. Economic analysis methods and endpoints. In: Califf RM, Mark DB, Wagner GS, eds. Acute coronary care in the thrombolytic area. 2nd ed. St Louis: Mosby Year Book, 1995:167-182. |
| 26. |
Møller JK.
Antimicrobial usage and microbial resistance in a university hospital during a seven-years period.
J Antimicrob Chemother
1989;
24:
983-992 |
| 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[Medline]. |
| 28. |
Burke JP.
Antibiotic resistance squeezing the balloon?
JAMA
1998;
280:
1270-1271 |
| 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 |
| 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 |
| 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[Abstract]. |
| 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[Medline]. |
(Accepted 18 February 1999)
Stephen G Pauker New England
Medical Center, Box 302, 750 Washington Street, Boston, MA 02111, USA
Correspondence to:
S G Pauker stephen.pauker{at}es.nernc.org
We practise in a world of limited resources. Because most
of the decisions doctors make affect health expenditure, we must think
cost effectively, even about individual patients. The inherent conflict
between things optimal for the patient before us at the moment and for
other patients (those whom we are about to treat, whom other clinicians
treat, patients untreated, and future patients) is not only the stuff
of ethics, philosophy, and politics, but must also be addressed at the
bedside and by local policy committees.
The first step in performing a cost effectiveness analysis is to
specify its perspective Perhaps the greatest advantage of formal analyses is that they are
explicit, reveal their underlying assumptions, and expose flaws in
logic and reasoning. They allow us to ask, "What if?" What if the
expected gain in choosing the appropriate antibiotic an 83 year old man
were far lower than the 12.6 months' gain for the average patient?
What if we considered combination therapy with two relatively
inexpensive drugs, say ampicillin and gentamicin, as is common practice
in some other settings.
In the scenario of Leibovici and colleagues, the only relevant
comparison seems to be between gentamicin and imipenem; the other
antibiotics provide lower survival at higher cost. Imipenem would be
"appropriate" 21% more often, at an added cost of $77 (£47),
including the cost of the prolonged stay for insensitive organisms. The
ratio of $367 (£224) per additional patient receiving appropriate
treatment can be converted into a cost effectiveness ratio, provided we
know by how much the proper antibiotic prolongs survival. If the 12.6 month median applies to 83 year old men with urosepsis, then using
imipenem would cost $347 (£211) per year of life saved, a bargain by
any measure. Analyses such as these allow decisions to be tailored to
individual patients and circumstances (table).
for example, undertaken from the point of view
of the patient, the insurer, a particular hospital department, or
society. Different perspectives may lead to different conclusions.
Constituencies can arrive at policies that optimise their local
objectives or measures while harming the global objective of the
organisation.1 Was that the problem driving the pharmacist and the hospital manager described by Leibovici and colleagues, so that
they focused largely on the cost of the antibiotic? Did they underplay
the consequences of choosing an inappropriate antibiotic because their
own performance was measured largely by their ability to control costs?
One cannot help but compare the explicitness of Leibovici's analysis
when considering the present patient to the apparent abandonment of
that approach when considering the effects of antibiotic resistance.
The recommendation of the infectious disease specialist changed from
imipenem to gentamicin, with nary a speck of his logic revealed.
Although the Leibovici's committee did not have extensive data about
the relation between antibiotic use and future antibiotic resistance
immediately available,2
5 they might have considered how
these data could be incorporated explicitly into a model, rather than
jumping to the conclusion that future antibiotic resistance is the
major concern and that the underlying trade off is between present and
future patients. Perhaps Leibovici's conclusion is correct, but the
logic is not substantiated here.
| |
References |
|---|
| 1. | Goldratt E. The goal. Great Barrington, MA: North River Press , 1992. |
| 2. | Chow JW, Fine MJ, Shlaes DM, Quinn JP, Hooper DC, Johnson MP, et al. Enterobacter bacteremia: clinical features and emergence of antibiotic resistence during therapy. Ann Intern Med 1991; 115: 585-590. |
| 3. | Levy SB. The antibiotic paradox: how miracle bugs are destroying the miracle. New York: Plenum , 1992. |
| 4. | Alliance for the Prudent Use of Antibiotics (www.healthsci.tufts.edu/apua/apua.html; accessed 11 May 1999.) |
| 5. |
Weiner J, Quinn JP, Bradford PA, Goering RV, Nathan C, Bush K, Weinstein RA.
Multiple antibiotic resistent klebsiella and Escherichia coli in nursing homes.
JAMA
1999;
281:
517-523 |
Julius R Weinberg Public
Health Laboratory Service, London NW9 5EQ
Correspondence to: Professor Duerden
bduerden{at}phls.nhs.co.uk
The scenario presented by Leibivici and colleagues
illustrates classic dilemmas of clinical practice However, this does not mean that a clinician's decisions over the
choice of antibiotic have a different basis from those made about other
treatment options. Decisions are based on the answers to the following
questions:
how to practise good medicine when there is imperfect information and how to balance the
responsibilities of the doctor to the individual patient and to the
community. These issues and the relation between cost and efficacy are
of concern in many areas of practice, but antimicrobial drugs differ
from other treatments in one important aspect
their use in one patient
may reduce their efficacy in another patient because of the selection
of resistant organisms. Leibovici and colleagues show that the benefit
from appropriate antibiotic treatment of severe infection, as
determined by cost effectiveness analysis, is so large that the drug
costs and side effects are irrelevant. The development of future
resistance remains as the major concern in selecting antibiotic treatment.
Development of future resistance is easy to predict
... it is inevitable. However, which resistances will
emerge, and why, is poorly understood, as are the strategies to prevent
a particular resistance or the likelihood of its development.
Resistance may even arise to antibiotics which are not in use if cross
resistance is generated by a related compound. Therefore, in the
absence of direct evidence for using a particular drug, and since all antibiotic use generates resistance, the most prudent approach is to
maximise the appropriate use of antibiotics and minimise their
inappropriate use
whether that be use when they are not indicated, or
in the wrong dose, or the wrong regimen. As this is good clinical
practice, there is little conflict between good clinical medicine and
good public health practice.
It would be difficult and wrong to sustain an argument that antibiotics should be withheld when clinically appropriate because of a potential future risk to others. It would also be difficult to sustain an argument on any grounds, clinical or public health, that clinicians should continue to prescribe antibiotics when there is no clinical indication, thus putting their patient at risk of unwanted side effects and the population at risk of increased resistance.
The recognition that the clinician has a duty to the health of the
wider population as well as to the individual patient is welcome.
Doctors who fail to notify infection, and laboratories that fall to
report to public health authorities, are failing in their duty of
clinical care. Good patient care and good public health medicine are
not in conflict, but follow from the same good clinical practice.
Margaret A Drickamer Yale University School of
Medicine, 20 York Street, New Haven, CT 06504, USA
Drickamer{at}med.va.gov
If we accept the assumptions made in the conclusion of the
article by Leibervici and colleagues that antibiotic treatment with the
"super antibiotic" is both economical and in the best interest of
the patient, we are left with the question of whether the choice of
antibiotics should be influenced by the greater good of the community
or the best interests of the patient. Decisions about subjugating the
good of the individual to the greater good of society are common for
many professional people, from generals to teachers. However, Leibovici
and colleagues ask whether this also holds true for doctors.
The argument for the doctor's role as an agent for the greater good of
the public is that the doctor is educated and empowered (and paid)
by the community to protect its interests. The American College of
Physician's Ethics Manual states, "All physicians
must fulfill the profession's collective responsibility to advocate the health and well-being of the public."1 Doctors are
to "use all health-related resources in a technically appropriate and efficient manner." Since it is in the best interest of the public health that certain antibiotics be used with circumspection, the medical profession is left with two options: each individual doctor must take responsibility for the judicious use of antibiotics in the
public interest; or individual doctors will have to give up some of
their autonomy to allow another authority (a hospital board or
epidemiologist) to make these decisions.
Tenets governing the doctor-patient relationship which would be
violated by such an act include:
There are two related examples of similar conflicts of role. The doctor has been in the position of breaking confidentiality with patients in reporting contagious disease in order to ensure the public health. Also, in a system with a capped budget for health related needs, decisions frequently need to be made about the distribution of resources which limit doctors' ability to be advocates for their patients.2 More controversial is the instance in which doctors are asked to limit their advocacy for their patients so that an organisation may make a profit.3
Is a doctor justified in giving a patient second best or probably good
enough treatment for the sake of the greater good? The answer is
probably "Yes." There are accepted precedents for such a decision,
and it is considered part of the doctor's duty to serve society.
However, so that doctors do not feel that as advocates and advisers
they have broken trust with their patients, they should inform patients
of the choice, assuring them that they will be monitored carefully and
antibiotics will be changed if the need arises. Patients and families
are very understanding of these decisions and can continue to trust the
honesty of their doctor and his or her commitment to do what is in
their best interest.
| |
References |
|---|
| 1. |
American College of Physicians.
Ethics manual. 4th ed.
Ann Intern Med
1998;
128:
576-594 |
| 2. | Sulmasy DP. Physicians, cost control, and ethics. Ann Intern Med 1992; 116: 920-926. |
| 3. |
Hall MA, Berenson RA.
Ethical practice in managed care: a dose of realism.
Ann Intern Med
1998;
128:
395-402 |
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