|
Research
Excess Mortality Associated
with Antimicrobial Drug-Resistant SalmonellaTyphimurium
Morten Helms,* Pernille Vastrup,* Peter Gerner-Smidt,* and Kåre
Mølbak*
*Statens Serum Institut, Copenhagen, Denmark
In a matched
cohort study, we determined the death rates associated with drug
resistance in Salmonella Typhimurium. We linked data from
the Danish Surveillance Registry for Enteric Pathogens with the
Civil Registration System and the Danish National Discharge Registry.
By survival analysis, the 2-year death rates were compared with
a matched sample of the general Danish population, after the data
were adjusted for differences in comorbidity. In 2,047 patients
with S. Typhimurium, 59 deaths were identified. Patients
with pansusceptible strains of S. Typhimurium were 2.3
times more likely to die 2 years after infection than persons
in the general Danish population. Patients infected with strains
resistant to ampicillin, chloramphenicol, streptomycin, sulfonamide,
and tetracycline were 4.8 times (95% CI 2.2 to 10.2) more likely
to die, whereas quinolone resistance was associated with a mortality
rate 10.3 times higher than the general population.
Foodborne Salmonella infections have become a major problem
in most industrialized countries. Of particular concern is the increasing
number of infections with antimicrobial drug-resistant Salmonella,
including the recent emergence of drug-resistant Salmonella enterica
serotype Typhimurium (S. Typhimurium) definitive phage type
104 (DT104). This strain is usually resistant to at least five drugs:
ampicillin, chloramphenicol, streptomycin, sulfonamides, and tetracycline
(R-type ACSSuT) and has become a predominant Salmonella type
in many countries, including the United States, United Kingdom,
Germany, and France (1-4) . In spite of its rapid
international dissemination (5) and the fact that
antimicrobial drug-resistant Salmonella was associated with
human infections before the recent spread of DT104, the available
data are inconclusive regarding a possible increased virulence of
DT104. Whether antimicrobial drug resistance in DT104 contributes
to enhanced illness or death is unclear (5-7).
Few studies have addressed the health impact of drug resistance
in types of zoonotic Salmonella other than DT104 (8-10),
and these studies suggest that drug resistance may be associated
with increased illness and death rates.
Excess mortality associated with drug resistance in zoonotic Salmonella
is difficult to quantify. Death is a relatively rare event and may
not occur until months after the initial diagnosis. Furthermore,
a number of factors, including chronic and malignant diseases, may
contribute to death from salmonellosis. The objective of this study
was to determine death associated with antimicrobial drug resistance
in S. Typhimurium. The study was based on a large, unbiased
sample of Danish patients registered in a national database. We
linked these data with those in the Danish civil registry, which
has complete information about survival status. Furthermore, by
completing the data with information from hospital discharge registries,
we were able to adjust for preexisting condition.
Materials
and Methods
Surveillance
In Denmark the diagnosis of human Salmonella infections
is made at Statens Serum Institut (SSI) or at 10 clinical microbiology
laboratories. The SSI receives notifications of positive findings
as well as isolates from the microbiology laboratories. If a specific
Salmonella serotype is found more than once from the same
person during a period of up to 6 months, only the first positive
sample is registered. As a part of this laboratory-based surveillance
system, monitoring for antimicrobial resistance in S. Typhimurium
was initiated in 1995. In 1995 and 1996, a sample of strains was
tested, but from 1997 on, all S. Typhimurium strains received
at SSI were tested for antimicrobial susceptibility. This study
included all isolates of S. Typhimurium examined from January
1, 1995, through October 31, 1999.
Isolates were tested by tablet diffusion on Danish Blood Agar (SSI
Diagnostica, Hillerød, Denmark) with the use of Rosco Neosensitabs
(Rosco, Roskilde, Denmark). The panel included 13 drugs from the
Danish Integrated Antimicrobial Resistance Monitoring and Research
Programme (11). Because reduced susceptibility
to ciprofloxacin is difficult to detect by the tablet diffusion
test, the E-test (Biodisk, Solna, Sweden) was used as well whenever
the tablet diffusion test identified nalidixic acid resistance.
In this paper, quinolone resistance refers to strains resistant
to the first-generation quinolone nalidixic acid (12).
Registry Linkage Study
All live-born children and citizens of Denmark are assigned a personal
identification number, uniquely identifying every person the Danish
Civil Registration System (13). Demographic data,
including vital status, marriage status, emigration/immigration,
and address of residence, are kept in this Civil Registration System.
The matched cohort study used the data from the Civil Registration
System to compare the death rates of patients with culture-confirmed
S. Typhimurium infections to the death rates of persons in
the general Danish population. For each patient, we randomly selected
10 people matched by age, sex, and county of residence. People who
were born during the same month and year as the patient and were
alive on the date of sample receipt were eligible for the reference
group. From the Danish Civil Registration System, we obtained information
on vital status, date of change of vital status, (i.e., date of
death or emigration) and area of residence (county level) for the
patients and the persons included in the reference group.
Data on admissions to hospital and discharge diagnosis were obtained
by using the data from the Danish National Patient Registry (14)
and the Cancer Registry for all persons included in this study,
thereby allowing us to control for preexisting illness (comorbidity).
Danish National Patient Registry contains data on all patients discharged
from non-psychiatric departments since January 1, 1977. Diagnoses
and procedures are coded according to the International Classification
of Diseases 8 or International Classification of Diseases 10 (from
1993). Diagnoses obtained during 10 years before infection were
used to calculate the comorbidity index.
Statistical Methods
The comorbidity index used the principles described by Charlson
et al. (15). This index is a sum of severity scores
(weights) corresponding to the number and severity of comorbidity
conditions. In the first step, we analyzed the data from the background
population to calculate the relative rate associated with each of
the diagnostic groups summarized in Table 1.
These relative rates served as the weights in the further survival
analyses. The index was calculated by adding log-transformed weights,
thus taking into account multiple hospital discharges. Diagnostic
groups associated with a relative mortality rate <1.2 were not
included in the models. By including this index in the survival
analyses, any difference between the death rates of Salmonella
patients and the general population quantifies excess mortality
beyond what is attributable to underlying illness.
To compare mortality rates of S. Typhimurium patients with
those of the general population, the data were stratified so that
each stratum contained 1 patient and 10 persons from the reference
group. To control for age, sex, and county of residence, we used
conditional proportional hazard regression. Death up to 2 years
after infection was determined, after adjusting the data for comorbidity
as described. To assess death rates associated with antimicrobial
drug resistance, interaction by drug resistance on Salmonella
cases was determined. We used the Wald test to test for homogeneity
of the rate ratios. The analyses were conducted by the use of the
PHREG procedure of the SAS system (Version 6.12, SAS Inst. Inc.,
Cary, NC). Death rate ratios (RR) are expressed as the relative
death rates of patients compared with the matched sample of the
general Danish population, and the term referents refers
to this unexposed matched sample.
Results
Of 4,075 cases of S. Typhimurium infections reported in
Denmark from January 1995 to October 1999, the antimicrobial-drug
susceptibility was determined in isolates from 2,059 cases, and
a successful link to the Civil Registry System was obtained for
2,047 (99.4%). In the period up to 2 years after entry in the study,
59 deaths were identified in S. Typhimurium patients and
221 deaths among 20,456 referents. The median age of the 59 persons
were 74.1 years (range 18.1 to 90.1). In the first 30 days after
entry in the study, the cumulative mortality proportion (Kaplan-Meier
estimate) was 0.73% for S. Typhimurium patients and 0.04%
for the referents (RR 15.4, 95% confidence interval [CI] 6.1 to
39.2). In the period 30 to 720 days after entry, cumulative mortality
was 2.75% in S. Typhimurium patients and 1.51% in referents
(RR 1.8, 95% CI 1.3 to 2.6). On this basis, we used the period 0
to 720 days in the remaining analyses.
Overall, patients with S. Typhimurium were 3.0 times (95%
CI 2.2 to 4.0) more likely to die than referents in the 2 years
following infection. After the data were adjusted for comorbidity,
the relative rate was 2.3 (95% CI 1.7 to 3.2). This relative death
rate was independent of age (p=0.84).
A total of 631 (30.8%) patients were hospitalized in connection
with the S. Typhimurium infection. In the reference group,
577 (2.8%) were hospitalized within 60 days of entry. Five of those
had gastroenteritis as their primary diagnosis.
Two hundred seventeen (10.6%) of S. Typhimurium patients
and 954 (4.7%) persons from the referent group had at least one
of the diagnoses listed in Table 1, which
summarizes the various diagnostic groups and their weights in relation
to the comorbidity index. A total of five HIV infections were found,
three among patients and two in the reference group. All five were
still living at the end of the study.
In the 2,047 strains, 953 (46.6%) were pansusceptible, 1,094 (53.4%)
resistant to at least one drug in the panel, and 639 (30.8%) were
resistant to at least two drugs. Resistance to sulfonamides was
found in 47.3% of the patient isolates, tetracycline in 25.1%, streptomycin
in 22.4%, ampicillin in 19.2%, chloramphenicol in 17.0%, kanamycin
in 9.6%, quinolone in 4.1%, trimethoprim in 3.0%, gentamicin in
2.2%, and ceftriaxon in 1.4%. No ciprofloxacin-resistant strains
were found. The MIC of ciprofloxacin in the quinolone-resistant
isolates ranged from 0.06 to 0.38 mg/L (median 0.09 mg/L).
R-type ACSSuT was found in 283 (13.8%) isolates, and patients infected
with this type were 6.9 times more likely to die than the general
population, compared with a RR of 2.6 in patients with strains of
other R-types (p =0.02). Also, chloramphenicol (7.4 vs. 2.4, p=0.003),
quinolones (9.9 versus 2.8, p=0.05), and ampicillin (5.1 versus
2.7, p=0.09) were associated with higher death rates in resistant
than sensitive strains.
Table 2 shows the relative death rate associated
with antimicrobial resistance after the data was adjusted for coexisting
diseases. Infections with pansusceptible strains were 2.3 times
(95% CI 1.5 to 3.5) more likely to die than the general population,
whereas infection with R-type ACSSuT was associated with 4.8 times
(95% CI 2.2 to 10.5) higher mortality. Patients infected with quinolone-resistant
strains (R-type Nx) were 10.3 times (95% CI 2.8 to 37.8) more likely
to die, and R-type ACSSuTNx was associated with 13.1 times (95%
CI 3.3 to 51.9) higher mortality. Three other antimicrobial drugs
(trimethoprim, gentamicin, and ceftriaxone) were examined, but because
of a low number of resistant strains, valid statistical inference
could not be carried out. All the strains resistant to these drugs
exhibited R-type ACSSuT. Most (82%) of the chloramphenicol-resistant
strains and 72% of the ampicillin-resistant strains were also R-type
ACSSuT.
A total of 270 of the isolates with R-type ACSSuT were phage-typed,
and 217 (80.4%) were DT104, 18 (6.7%) DT12, 11 (4.1%) DT120, and
the rest were other or unknown phage types. Strains with other R-types
were distributed over a number of different phage types. A total
of 1,667 were examined, and the three most common were DT12 (46.8%),
DT66 (6.0%), and U288 (4.9%). Thirty-nine (2.3%) were DT104. In
the patients with R-type ACSSuT, no difference in the death rate
between persons infected with DT104 (relative death rate 4.4, 95%
CI 1.7 to 11.6) and other phage types (relative death rate 6.4,
95% CI 1.3 to 32.4) was found; both estimates were adjusted for
comorbidity.
No difference in age and sex distribution between patients infected
with R-type ACSSuT and other antibiograms were found. The median
age in both groups was 33 years (range 1 to 87 and 0 to 95, respectively,
p=0.89).
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Figure
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Click
to view enlarged image
Figure. Survival comparison
of patients infected with Salmonella Typhimurium (by
resistance level) to referents. The patients and referents
were matched by age, gender, and county of residence.
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Finally, we analyzed a model with three levels of resistance: non-ACSSuT,
R-type ACSSuT (Nx-sensitive), and R-type ACSSuTNx. The figure
shows the survival curve of the referents and patients according
to these three groups. In the group of 40 cases with R-type ACSSuTNx,
we identified five deaths within the 2-year period after infection,
one of those within the first month of infection, three within 6
months, and one within 18 months. The relative risk associated with
an infection with R-type ACSSuTNx was 12.4 without adjusting the
data for comorbidity. After adjustment, the RR associated with this
resistance pattern was 13.1. The median age in this group was 43
years (range 1 to 89), 10 years higher than the R-type ACSSuT quinolone-sensitive
group.
Discussion
Since the 1990s, the frequency of antimicrobial drug resistance
in zoonotic Salmonella and the number of drugs to which the
strains are resistant has increased, primarily as a consequence
of antimicrobial use in food production (1,9,16-18).
The recent development of fluoroquinolone resistance is of particular
concern (16-21) . At present,
a fluoroquinolone is the drug of first choice for extraintestinal
and serious intestinal Salmonella infections in adults, and
resistance to this drug may potentially reduce the efficacy of early
empirical treatment. The health impact of antimicrobial drug resistance
in zoonotic Salmonella needs to be determined (21,22).
We used data from registries created for other purposes to avoid
bias and were able to explore long-term death rates and adjust the
data for comorbidity.
The comorbidity index was based on discharge diagnoses from patients
admitted to hospitals in Denmark and to a lesser degree on data
from outpatient clinics but did not include data from general practitioners.
Any patient with a coexisting disease severe enough to alter the
outcome of a Salmonella infection is likely to have had contact
with a hospital or an outpatient clinic within the 10-year period
before infection. The backbone for the construction of the comorbidity
index was the National Discharge Registry. A validation of this
registry showed that there was agreement between the registry and
hospital records of 75% to 90%, using 3-digit level International
Classification of Diseases diagnoses (14).
In general, patients with S. Typhimurium infections were
2.3 times more likely to die than the matched sample of the Danish
population during a 2-year follow-up. This figure is likely to reflect
both long-term consequences of S. Typhimurium as well as
underlying diseases and conditions not fully described by our comorbidity
score based on hospital discharge diagnosis. The excess mortality
was independent of age, a finding which warrants further studies.
The cumulative mortality in the first 30 days, 0.7%, is comparable
with the case-fatality rate of 0.8% for all nontyphoidal Salmonella
serotypes found in data from FoodNet 1996-97 (23).
We found that S. Typhimurium with R-type ACSSuT was associated
with higher death rates than other strains. Similar tendencies were
found for chloramphenicol and ampicillin, both being markers for
R-type ACSSuT. Patients infected with R-type ACSSuT were seven times
more likely to die than the general population, but when the data
were adjusted for underlying illness, this figure was reduced to
fivefold higher mortality. This reduction was expected; a part of
the excess mortality associated with R-type ACSSuT was attributable
to underlying illness. However, the excess mortality still tended
to be elevated after adjustment. Patients with quinolone-resistant
strains had a marked and substantial excess mortality, which could
not be explained by imbalances in comorbidity. All the quinolone-resistant
strains in this study were designated as fluoroquinolone-susceptible
by NCCLS cut-offs for ciprofloxacin. Several patients in the study
were part of an outbreak of S. Typhimurium DT104 R-type ACSSuTNx
traced back to swine herds in the Danish island of Zealand (17).
Most deaths occurred in relation to infections with S. Typhimurium
DT104, and we were not able to demonstrate any statistically significant
variation among different phage types. In our initial model we took
age into account, expecting a relatively higher mortality among
the elderly. But again, we could not demonstrate such an effect.
In other words, no additive effect was found between age and drug
resistance compared with age and being infected by sensitive strains
of S. Typhimurium.
A study from England suggests that the isolation rates of drug-resistant
DT104 from blood cultures are not higher than those of other S.
Typhimurium phage types and that the frequency is comparable with
the incidence of blood culture isolates of Salmonella Enteritidis
(7). The study suggests that S. Typhimurium
of R-type ACSSuT does not cause invasive disease more often than
Salmonella Enteritidis. However, the overall mortality in
relation to S. Typhimurium infection is higher. Two studies
based on outbreaks of resistant Salmonella in the United
States and the United Kingdom have found case fatality rates of
4.2% and 3.0% respectively (6,8). Even though they
were based on outbreak investigations, the cumulative death rate
is comparable to our results (2.9% after 6 months of infection).
Antimicrobial drug resistance in zoonotic Salmonella may
be associated with adverse consequences in several ways, including
treatment failures. However, treatment failures have, until now,
been infrequently reported (17,21).
We had no data on treatment with antimicrobial drugs. Therefore,
exploring the extent to which the excess mortality of patients infected
with quinolone-resistant strains was caused by reduced efficacy
of drugs was impossible. We estimate that approximately 20% of the
patients were prescribed empiric treatment in connection with the
collection of specimens and that some of the deaths may have been
associated with reduced efficacy of flouroquinolones, as described
in Mølbak et al. (17).
Resistant bacteria have a selective advantage in ecosystems where
antimicrobial drugs are used. Studies have shown that treatment
with antimicrobial drugs (for any reason) is a major risk factor
for infections with antimicrobial drug-resistant bacteria, and that
this association may result in increased incidence and illness severity
(9,24,25). Infection with drug-resistant
S. Typhimurium in patients treated for other infections may
contribute to the excess mortality we found .
Infections with resistant Salmonella may be associated with
increased severity for reasons that are poorly understood. An increased
virulence of drug-resistant Salmonella has not been well
characterized. Two earlier studies found increased rates of hospitalizations
(10) and death (8), but these
studies had limitations. Lee et al. (10) were only
able to control for comorbidity in a limited way, and none of the
earlier studies were restricted to a single serotype and able explore
the impact of specific resistance patterns as we did.
The use of antimicrobial drugs in food production is one of the
major factors in the emergence and dissemination of antimicrobial
drug-resistance in foodborne bacterial pathogens. We were able to
determine death rates in a large sample of patients with S.
Typhimurium and to control for confounding factors in the analyses.
We associated resistance in S. Typhimurium with excess mortality,
and the demonstration of a hazard to human health underscores the
need for restrictions in the use of antimicrobial drugs in the production
of food from animals. A particular risk was associated with quinolone
resistance, indicating that the use of fluoroquinolones for food
production animals should be discontinued.
Acknowledgments
We thank Per Krag Andersen for his statistical advice, the Salmonella
Laboratory of The Danish Veterinary Laboratory for phage typing,
and the 10 microbiology laboratories in Denmark for reporting findings
of Salmonella Typhimurium to the SSI. We also thank the two
reviewers for helpful suggestions.
The study was funded by The Danish Research Center for Environmental
Health.
Dr. Helms is a research fellow at the Department of Epidemiology
Research, Statens Serum Institut, studying health outcomes in relation
to foodborne bacterial infections, in particular the hazards associated
with drug-resistant bacteria in our food supply.
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| Table
1. The distribution of comorbidity diagnosis of 2,047 patients
with S. Typhimurium infection and a sample of the general
Danish population of 20,456 persons |
|
|
Diagnostic group
|
No. (%) of S. Typhimurium
patients
|
No. (%) in the general population
|
Severity score (weight) in
comorbidity index
|
|
|
Lymphoma or leukemia
|
19 (0.9)
|
23 (0.1)
|
3.40
|
|
Metastatic cancers
|
8 (0.4)
|
19 (0.1)
|
2.02
|
|
Liver disease
|
10 (0.5)
|
35 (0.2)
|
1.97
|
|
Tuberculosis
|
0
|
13 (0.1)
|
1.78
|
|
Movement disorders and epilepsy
|
4 (0.2)
|
40 (0.2)
|
1.56
|
|
Diabetes
|
44 (2.2)
|
186 (0.9)
|
1.50
|
|
Renal disease
|
31 (1.5)
|
114 (0.6)
|
1.37
|
|
Inflammatory bowel disease
|
39 (2.4)
|
66 (1.7)
|
1.34
|
|
Other neurologic diseasesa
|
12 (0.6)
|
76 (0.4)
|
1.32
|
|
Hemoglobin abnormalities
|
14 (0.7)
|
62 (0.3)
|
1.23
|
|
Congestive heart failure
|
22 (1.1)
|
103 (0.5)
|
1.22
|
|
|
aNeurologic or neuromuscular diseases
other than Alzheimer's disease, multiple sclerosis, Parkinson's
disease, Huntington's disease, and epilepsy.
|
| Table
2. Two-year relative death rate of patients infected with
Salmonella Typhimurium, by antimicrobial susceptibility
pattern. Registry linkage study including 2,047 patients and
a random matched sample of 20,456 people from the Danish general
population |
|
| |
Resistant
|
Susceptiblea
|
|
|
|
|
|
Deaths/cases
|
RRb (95% CIc)
|
Deaths/cases
|
RR (95% CI)
|
p-valued
|
|
|
Resistant to >1 drug
|
31/1,094
|
2.4 (1.6-3.7)
|
28/953
|
2.3 (1.5-3.5)
|
0.86
|
|
Ampicillin
|
13/393
|
3.5 (1.7-7.2)
|
46/1,654
|
2.1 (1.5-3.0)
|
0.21
|
|
Chloramphenicol
|
16/347
|
5.1 (2.6-10.2)
|
43/1,700
|
1.9 (1.4-2.8)
|
0.01
|
|
Streptomycin
|
13/458
|
2.1 (1.1-4.1)
|
46/1,589
|
2.4 (1.7-3.4)
|
0.76
|
|
Sulfonamides
|
31/969
|
2.5 (1.6-3.9)
|
28/1,078
|
2.1 (1.4-3.3)
|
0.60
|
|
Tetracycline
|
15/513
|
2.2 (1.2-4.1)
|
44/1,534
|
2.4 (1.7-3.4)
|
0.85
|
|
Kanamycin
|
3/108
|
|
23/1,018
|
3.9 (2.2-6.7)
|
|
|
Quinolone
|
5/83
|
10.3(2.8-37.8)
|
54/1,964
|
2.1 (1.6-3.0)
|
0.02
|
|
R-type ACSSuT
|
12/283
|
4.8 (2.2-10.5)
|
47/1,764
|
2.1 (1.5-2.9)
|
0.06
|
|
R-type ACSSuTNx
|
5/40
|
13.1 (3.3-51.9)
|
7/243e
|
2.9 (1.1-7.9)
|
0.09
|
|
|
aSusceptible refers to strains
susceptible to the given antimicrobial drugs or combination
of antimicrobial drugs; first cell refers to pansusceptible
strains.
bDeath rate relative to the general population,
as estimated by conditional proportional hazards regression
analysis, controlling for underlying illness; RR=rate ratio.
cCI=confidence interval.
dp-value for test of homogeneity, i.e., RR for
resistant being the same as for susceptible strains.
eStrains with R-type ACSSuT, but quinolone sensitve.
|
|