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Methicillin-resistant Staphylococcus aureus in Europe, 1999-2002.


We explored the variation in proportions of methicillin-resistant Staphylococcus aureus methicillin-resistant Staphylococcus aureus Methicillin-aminoglycoside resistant Staphylococcus aureus, MRSA An organism with multiple antibiotic resistances–eg, aminoglycosides, chloramphenicol, clindamycin, erythromycin, rifampin, tetracycline,  (MRSA MRSA Methicillin-resistant Staphylococcus aureus. See MARSA. ) between and within countries participating in the European Antimicrobial antimicrobial /an·ti·mi·cro·bi·al/ (-mi-kro´be-al)
1. killing microorganisms or suppressing their multiplication or growth.

2. an agent with such effects.
 Resistance Surveillance System and temporal trends in its occurrence. This system collects routine antimicrobial susceptibility tests susceptibility test Antimicrobial susceptibility test, see there  for S. aureus The aureus (pl. aurei) was a gold coin of ancient Rome valued at 25 silver denarii. The aureus was regularly issued from the 1st century BC to the beginning of the 4th century AD, when it was replaced by the solidus. . We examined data collected from January 1999 through December 2002 (50,759 isolates from 495 hospitals in 26 countries). MRSA prevalence varied almost 100-fold, from <1% in northern Europe to >40% in southern and western Europe Western Europe

The countries of western Europe, especially those that are allied with the United States and Canada in the North Atlantic Treaty Organization (established 1949 and usually known as NATO).
. MRSA proportions significantly increased in Belgium, Germany, Ireland, the Netherlands, and the United Kingdom, and decreased in Slovenia. Within countries, MRSA proportions varied between hospitals with highest variance in countries with a prevalence of 5% to 20%. The observed trends should stimulate initiatives to control MRSA at national, regional, and hospital levels. The large differences between hospitals indicate that efforts may be most effective at regional and hospital levels.

**********

Snaphylococcus aurcus is an important cause of community- and hospital-acquired infections Hospital-Acquired Infections Definition

A hospital-acquired infection is usually one that first appears three days after a patient is admitted to a hospital or other health care facility.
. Infections caused by methicillin- or oxacillin-resistant S. aureus (MRSA) are mainly nosocomial nosocomial /noso·co·mi·al/ (nos?o-ko´me-il) pertaining to or originating in a hospital.

nos·o·co·mi·al
adj.
1. Of or relating to a hospital.

2.
 and are increasingly reported from many countries worldwide (1). As MRSA strains are frequently resistant to many different classes of antimicrobial drugs, second- and third-line antimicrobial resistance is a growing concern (2). Surveillance of MRSA provides relevant information on the extent of the MRSA epidemic, identifies priorities for infection control and the need for adjustments in antimicrobial drug policy, and guides intervention programs (3).

In Europe, several surveillance systems collect data on MRSA (4,5). Most collect data from specific types of hospitals, for certain periods, or information related to specific antimicrobial susceptibility susceptibility

the state of being susceptible. Refers usually to infectious disease but may be to physical factors such as wetting or to psychological factors such as harassment.
 patterns. The only ongoing initiative that continuously monitors antimicrobial resistance in most European countries is the European Antimicrobial Surveillance System (EARSS EARSS European Antimicrobial Resistance Surveillance System ), funded by Directorate General for Health and Consumer Protection of the European Commission European Commission, branch of the governing body of the European Union (EU) invested with executive and some legislative powers. Located in Brussels, Belgium, it was founded in 1967 when the three treaty organizations comprising what was then the European Community . This network connects national surveillance systems and provides comparable and validated results of routine antimicrobial susceptibility tests (AST (AST Computer, Irvine, CA) A PC manufacturer founded in 1980 by Albert Wong, Safi Quershey and Tom Yuen (A, S and T). It offered a complete line of PCs that sold through its dealer channel. ) following standardized standardized

pertaining to data that have been submitted to standardization procedures.


standardized morbidity rate
see morbidity rate.

standardized mortality rate
see mortality rate.
 protocols from a representative set of laboratories per country (6). Timely and detailed feedback is given through a freely accessible and interactive Web site (http:\\www.earss.rivm.nl). EARSS was established in 1998 and currently connects >600 laboratories in 28 countries, which serve >100 million people. Preliminary EARSS results showed considerable differences in the proportions of MRSA across Europe (7,8).

We report results of antimicrobial susceptibility testing or S. aureus blood isolates from 1999 to 2002 in Europe; these results show variation in the prevalence of MRSA, including variation in its proportions at the hospital level. To assess recent changes in the epidemiology of MRSA within countries, we also present country-specific temporal trends in the occurrence of MRSA.

Materials and Methods

Data Collection

Data (identification number of isolate, EARSS laboratory code, date and type of specimen, sex and age of patient, EARSS hospital code, hospital ward to which patient is admitted, result of mecA gene polymerase chain reaction polymerase chain reaction (pŏl`ĭmərās') (PCR), laboratory process in which a particular DNA segment from a mixture of DNA chains is rapidly replicated, producing a large, readily analyzed sample of a piece of DNA; the process is  [PCR PCR polymerase chain reaction.

PCR
abbr.
polymerase chain reaction


Polymerase chain reaction (PCR) 
], and susceptibility to several antimicrobial drugs, including oxacillin oxacillin /ox·a·cil·lin/ (ok?sah-sil´in) a semisynthetic penicillinase-resistant penicillin used as the sodium salt in infections due to penicillin-resistant, gram-positive organisms.  and vancomycin vancomycin (văn'kōmī`sĭn), antibiotic resembling penicillin in the way it acts. It is derived from the bacterium Streptomyces orientalis, which was isolated from soil of India and Indonesia. ) are collected through national surveillance systems. AST results of every first S. aureus blood isolate per patient per quarter are submitted to the EARSS database by national data managers. After authorization by the national representatives by using standard feedback reports, national data are included in the EARSS database and become available on the Web site.

Susceptibility Testing

Antimicrobial susceptibility is tested according to according to
prep.
1. As stated or indicated by; on the authority of: according to historians.

2. In keeping with: according to instructions.

3.
 a standardized protocol (5). Briefly, laboratories report oxacillin susceptibility, preferably determined by an oxacillin-screening plate or an oxacillin disk-diffusion test disk-diffusion test

see antimicrobial sensitivity test.
. To confirm methicillin methicillin /meth·i·cil·lin/ (meth?i-sil´in) a semisynthetic penicillin highly resistant to inactivation by penicillinase; used as the sodium salt.

meth·i·cil·lin
n.
 resistance, the minimum inhibitory concentration minimum inhibitory concentration Lab medicine The minimum antibiotic concentration needed to inhibit bacterial growth from a clinical isolate–eg, a bloodborne infection, which is a form of antimicrobial susceptibility testing. Cf Minimum bactericidal concentration.  (MIC) for oxacillin or the presence of mecA gene by PCR is determined. Reporting vancomycin MIC is recommended for MRSA isolates.

Interpretative in·ter·pre·ta·tive  
adj.
Variant of interpretive.



in·terpre·ta
 AST results (i.e., sensitive [S], intermediate [I], and resistant [R], in accordance with defined guidelines guidelines,
n.pl a set of standards, criteria, or specifications to be used or followed in the performance of certain tasks.
) are accepted. Most (71%) of the laboratories have adopted the guidelines of the National Committee for Clinical Laboratory Standards (NCCLS NCCLS National Committee for Clinical Laboratory Standards ; www.ncels.org). Most guidelines agree that S. aureus isolates should be considered nonsusceptible (R) to oxacillin if the MIC is [greater than or equal to] 4 mg/L. Lower MIC breakpoints (R if MIC [greater than or equal to] 2 mg/L) are only suggested by the Deutsche Industrie-Norm (DIN) (www.din.de) and guidelines of the Swedish Reference Group for Antibiotics (SRGA) (www.srga.org).

Data Analysis

We rejected observations lacking mandatory information (i.e., laboratory code, date of specimen, either patient identification number or month and year of birth, pathogen Pathogen

Any agent capable of causing disease. The term pathogen is usually restricted to living agents, which include viruses, rickettsia, bacteria, fungi, yeasts, protozoa, helminths, and certain insect larval stages.
 code, antibiotic code, or oxacillin test result [S or R]); duplicate records and repeat isolates from the same patient were also rejected. Isolates with an interpretative AST result of "R" (resistant) to oxacillin or one of its equivalents (cloxacillin cloxacillin /clox·a·cil·lin/ (klok?sah-sil´in) a semisynthetic penicillin; used as the sodium salt to treat staphylococcal infections due to penicillinase-positive organisms. , dicloxacillin, and flucloxacillin) were defined as MRSA. Isolates with intermediate susceptibility were not counted as MRSA and were excluded from the analyses. MRSA proportions were calculated as the number of MRSA isolates divided by the total number of S. aureus isolates obtained from blood cultures.

For the current analysis, data collected from January 1999 through December 2002 were used. We included only information from hospitals with data for [greater than or equal to] 20 isolates from countries reporting >100 isolates. To calculate time trends for analyses of variation between hospitals, we included only those hospitals that had participated in at least 3 consecutive years.

Univariate analyses were performed by using chi-square or t tests if appropriate. Country-specific trends in the occurrence of MRSA over time were analyzed by using a multivariate The use of multiple variables in a forecasting model.  Poisson regression In statistics, the Poisson regression model attributes to a response variable Y a Poisson distribution whose expected value depends on a predictor variable x, typically in the following way:

 model adjusting for autocorrelation Autocorrelation

The correlation of a variable with itself over successive time intervals. Sometimes called serial correlation.
 in hospitals (e.g., attributable to possible similarity in blood culturing and AST practice). We also compared countries with respect to variation between hospitals, expressed as the variance in hospital-specific MRSA proportions. To eliminate the natural dependency between variance and mean, the MRSA ratio was first transformed by power (Box-Cox) transformation according to the following formula: T(k/n) = [(k/n).sup.[lambda]], where T is the transformed MRSA ratio, k/n is the resistance rate (i.e., the number of resistant isolates divided by the total number of isolates), and [lambda] was chosen in such a way that variance was independent of the mean, i.e., [lambda] = 0.397. The variance was further adjusted by size (in terms of number of isolates reported) of individual hospitals. Country-specific variances were then graphically displayed and compared.

Results

From January 1999 through December 2002, EARSS received AST results of 53,264 S. aureus blood isolates from 27 countries (Norway does not report S. aureus data), including 628 laboratories serving 896 hospitals. Twenty-six countries reported AST results of >100 isolates. The current study included 50,759 isolates from 428 laboratories serving approximately 500 hospitals. Overall, 20% of these isolates were reported as methicillin resistant. A total of 295 hospitals (35,921 isolates, 19 countries) provided data for at least 3 consecutive years and were included in the time trend analyses. Table 1 describes the main characteristics of the data and the proportion of MRSA by country.

MRSA was more frequently isolated from men (21%) than from women (18%, p < 0.001). Patients with a blood culture positive for MRSA were older than patients with methicillin-susceptible S. aureus (MSSA MSSA Methicillin-Sensitive Staphylococcus Aureus
MSSA Microscopy Society of Southern Africa
MSSA Maryland Saltwater Sportfishermen's Association
MSSA Military Selective Service Act
MSSA Mid-South Sociological Association
MSSA Minnesota Social Service Association
) (mean age, 65.3 [SD 18.7] versus 58.6 [23.4], p < 0.001). The proportion of MRSA was highest among patients admitted to intensive care units (35%).

Geographic variation is displayed in Figure 1, which shows a north-south gradient gradient

In mathematics, a differential operator applied to a three-dimensional vector-valued function to yield a vector whose three components are the partial derivatives of the function with respect to its three variables. The symbol for gradient is ∇.
, with the lowest MRSA prevalence in northern Europe and highest prevalence in southern Europe Southern Europe or sometimes Mediterranean Europe is a region of the European continent. There is no clear definition of the term which can vary depending on whether geographic, cultural, linguistic or historical factors are taken into account. , Israel, the United Kingdom, and Ireland. MRSA proportions varied almost 100-fold, with the lowest proportion in Iceland (0.5%) and the highest proportion in Greece (44%, Table 1).

[FIGURE 1 OMITTED]

Statistical analyses of country-specific time trends by Poisson regression (Table 2) showed that increases in MRSA proportions were significant in Belgium (from 22% in 1999 to 27% in 2002), Ireland (39%M5%), Germany (9%-19%), the Netherlands (0.4%-1%) and the United Kingdom (31%-45%). The proportion of MRSA decreased significantly in Slovenia only, from 22% in 2000 to 15% in 2002. The model had difficulties in estimating changes in MRSA proportion in countries with low counts of MRSA isolates, which is reflected in the very wide confidence intervals confidence interval,
n a statistical device used to determine the range within which an acceptable datum would fall. Confidence intervals are usually expressed in percentages, typically 95% or 99%.
 for Iceland and Bulgaria (Table 2). Relatively large year-to-year fluctuations occurred in some countries (Bulgaria, Greece, Luxembourg, Malta, and Portugal); some of these countries (Bulgaria, Luxembourg, and Malta) had low isolate counts (Table 1). Figure 2 presents significant time trends by showing MRSA proportions per country per year for 1999 through 2002.

Figure 3A shows regional variation in MRSA proportions within countries. Particularly high variation was identified among hospitals in Belgium Here is a list of hospitals in Belgium.
  • UZ Brussel Campus Jette (formerly known as AZ VUB) - Brussels
  • CHU Brugmann - Brussels
  • CHU de Charleroi - (Charleroi)
  • CHU de Liège - (Liège)
  • CHU Saint-Pierre - Brussels
  • CHU Tivoli - (La Louvière)
, the Czech Republic Czech Republic, Czech Česká Republika (2005 est. pop. 10,241,000), republic, 29,677 sq mi (78,864 sq km), central Europe. It is bordered by Slovakia on the east, Austria on the south, Germany on the west, and Poland on the north. , Spain, Greece, Italy, Portugal, and the United Kingdom. After applying the power transformation, the remaining variation was highest in Germany (Figure 3B), with a variance after transform of 17%. Other countries with relatively high variation in MRSA proportions (variance after transform >15%) between hospitals were Poland, the Czech Republic, and Slovakia. The highest relative variation was found in countries with MRSA proportions from 5% to 20%, with the exception of Hungary and Slovenia. A relatively high variation between hospitals was also found in countries with MRSA proportions >25%. The lowest variation between hospitals was observed for Slovenia (variance after transform, 3%), and variation was also low in France (variance alter transform, 5%).

Vancomycin resistance did not occur. Intermediate susceptibility of S. aureus (VISA) was only reported for five isolates from France in 2001.

Discussion

This is the first EARSS report on the prevalence of MRSA among blood isolates in 27 countries in the European region. We found that proportions of MRSA vary largely across Europe, with the highest proportions in southern and parts of western Europe and lowest proportions in northern Europe. MRSA proportions seem to be increasing in many countries. Significant increases were found for Belgium, Germany, the Netherlands, Ireland, and the United Kingdom, whereas the proportion of MRSA decreased in Slovenia. In all countries, variation between hospitals was observed. The variation between hospitals was highest in Germany and in most other countries with an MRSA prevalence of 5% to 20%. The lowest variation between hospitals was found in Slovenia.

Our results show the European situation with respect to the occurrence of MRSA in blood isolates and confirm other observations (9-11) on invasive isolates; they are also in accordance with findings of other studies with respect to demographic variables, such as sex, age, and patient ward (9,12). Although blood isolates represent the minority of clinically relevant samples, they are indicative of infection. Studies that report MRSA proportions from all sources usually include screening samples that are subject to bias because of differential screening practices. Considering hospital-acquired MRSA only seems to provide insight into the European MRSA epidemic, as the prevalence of community-acquired MRSA in Europe remains very low (0.03%-1.5%), even in countries with a high MRSA prevalence in hospitals (13-17). EARSS provides comparable data, annually validated through external quality assurance exercises, which have repeatedly confirmed a good-to-excellent concordance concordance /con·cor·dance/ (-kord´ins) in genetics, the occurrence of a given trait in both members of a twin pair.concor´dant

con·cor·dance
n.
 for identifying MRSA (18).

EARSS accepts susceptibility data according to clinical breakpoints (S, I, R) in agreement with international guidelines. Methicillin resistance is usually defined as having an MIC of [greater than or equal to] 4 mg/L. Because of lower breakpoints (MIC [greater than or equal to] 2 mg/L) defined by SRGA and DIN, this definition may have caused partial overestimation o·ver·es·ti·mate  
tr.v. o·ver·es·ti·mat·ed, o·ver·es·ti·mat·ing, o·ver·es·ti·mates
1. To estimate too highly.

2. To esteem too greatly.
 of MRSA proportions reported from Sweden (where SRGA is used in 100% of laboratories), and from Germany (where DIN is used in 59% of the participating laboratories) in comparison to other countries (19). However, most MRSA strains show high-level resistance to oxacillin, although low-level resistant strains are emerging (20). Moreover, such misclassification is unlikely to bias the country-specific temporal trends reported here. In all other countries, all laboratories agree on a single breakpoint The location in a program used to temporarily halt the program for testing and debugging. Lines of code in a source program are marked for breakpoints. When those instructions are about to be executed, the program stops, allowing the programmer to examine the status of the program  ([greater than or equal to] 4 mg/L).

We used Poisson regression modeling adjusting for autocorrelation within hospitals to test for possible time trends in MRSA proportions. This model assumes that the epidemic runs according to an S-curve (21). The results of this analysis need to be interpreted with caution, as confidence intervals are wide, especially for countries with a low number of isolates. Year-to-year fluctuations found for some countries were probably not due to changes in the case-mix, as analyses were performed on data from a constant set of hospitals in each country, but were possibly caused by random variation of low numbers of isolates (Bulgaria, Luxembourg, Malta). Since the model estimates time trends over the 4-year observation period, it did not account for such fluctuations, which should be possible by autoregressive moving average (ARIMA) modeling (22). However, ARIMA modeling requires at least 60 data points, which cannot be provided at this stage.

The temporal increase we found for Germany is supported by a national surveillance study carried out at regular intervals, which reported an increase of MRSA from 2% in 1992 to 21% in 2001 (23,24). Our results for the United Kingdom show that the increase in MRSA proportions, reported from 1992 through 1998 (25,26), continued until 2001, and now appears to have leveled off. This development in the MRSA epidemic reflects the curve of the number of hospitals affected by MRSA outbreaks over time, as predicted by Austin and Anderson (21). The same epidemic curve might apply to Ireland, although the stabilizing MRSA prevalence may also be the result of a nationwide refection REFECTION, civil law. Reparation, reestablishment of a building. Dig. 19, 1, 6, 1.  control campaign (27). This Strategy for the Control of Antimicrobial Resistance iii Ireland (SARI Sari (särē`), city (1991 pop. 167,602), capital of Mazandaran prov., N Iran, near the Caspian Sea. It is the trade center for a farm region where citrus fruit, cotton, rice, and sugarcane are grown. ) follows a multidisciplinary approach multidisciplinary approach A term referring to the philosophy of converging multiple specialties and/or technologies to establish a diagnosis or effect a therapy , focusing on surveillance of antimicrobial resistance and use as well as infection control and stewardship of antibiotic use in the community and in hospitals. National MRSA guidelines are being updated, and the deficit in hospital staffing (laboratory surveillance scientists, infection control nurses, clinical microbiologists, and clinical pharmacists This is a list of notable pharmacists.
  • Dora Akunyili, Director General of National Agency for Food and Drug Administration and Control of Nigeria
  • Charles Alderton (1857 - 1941), American inventor the soft drink Dr Pepper
  • George F.
) is currently being addressed (28). In England, several recent initiatives have the goals of increasing awareness and encouraging efforts to control MRSA by individual hospitals. First, a mandatory surveillance program for MRSA bacteremia bacteremia: see septicemia.
bacteremia

Presence of bacteria in the blood. Short-term bacteremia follows dental or surgical procedures, especially if local infection or very high-risk surgery releases bacteria from isolated sites.
 was launched, which included publication of MRSA diagnoses by named health trust (29,30). Second, a strategy was published to reduce healthcare-associated infection in England (31), which included guidelines for good hospital practice. The rise in MRSA prevalence in the Netherlands might be the result of the increase in heterogeneously resistant clones with low MICs for oxacillin (4-24 mg/L) (32). The effects of national infection control campaigns launched in Slovenia (J. Kolman, pers. comm.) may have had an impact. With the continuation of EARSS, we will be able to monitor ally effect of such campaigns.

Variations in MRSA proportions between hospitals within the same country have been reported (9,33-35), but to our knowledge, this is the first attempt to quantify variation between hospitals at the national level in a European study. We showed that considerable variation in MRSA proportions exists not only between countries but also between hospitals within a country. Regional variation might be explained by different phenomena. The emergence of MRSA is largely due to dissemination dissemination Medtalk The spread of a pernicious process–eg, CA, acute infection Oncology Metastasis, see there  of clonal clonal

referring to a clone.


clonal expansion
occurs, for example, when B cells, under the influence of T cell interleukins, differentiate into two separate populations and, after several transformations produce sensitized B
 strains, and temporary hospital outbreaks are typically due to clonal expansion (36). If stringent control measures are taken to prevent further MRSA transmission, MRSA prevalence might subsequently be reduced to sporadic sporadic /spo·rad·ic/ (spo-rad´ic) occurring singly; widely scattered; not epidemic or endemic.

spo·rad·ic or spo·rad·i·cal
adj.
1. Occurring at irregular intervals.

2.
 levels (12). However, the effectiveness of MRSA control depends on several factors, such as the existence and correct application of hygiene protocols to prevent transmission (hand hygiene, isolation practices, cohorting), level of care needed by patients (indicating host susceptibility), and antimicrobial drug prescription policies (which would influence selective pressure), which might differ between hospitals in a country (37). As Kotilainen and colleagues showed, quick and adequate measures at the hospital level, as well as at the regional level, may be successful in containing the MRSA epidemic (38). Regional variation may also be explained by differences in diagnostic practice and culturing activity and random errors, which may artificially increase variation (39). Also, a differential case-mix attributable to differences in the level of care provided per hospital and differential referral practice may confound con·found  
tr.v. con·found·ed, con·found·ing, con·founds
1. To cause to become confused or perplexed. See Synonyms at puzzle.

2.
 our estimates (9,35,40). However, unusually high variation in MRSA proportions between hospitals seems to occur most often in countries experiencing a current surge of MRSA. In support of this hypothesis, in general, MRSA proportions varied most in countries with increasing and intermediate (5%-20%) MRSA prevalence. These countries might have changed from equilibrium with adequate control and elimination of sporadic MRSA and might be on the verge On the Verge (or The Geography of Yearning) is a play written by Eric Overmyer. It makes extensive use of esoteric language and pop culture references from the late nineteenth century to 1955.  of becoming MRSA-cndemic. This stage may be characterized by abandoning strict search-and-control strategies and adopting more flexible approaches, as happened in England when MRSA prevalence was increasing in the 1990s (41,42). However, MRSA proportions were not increasing in all these countries, and variation in prevalence between hospitals was also high in countries with a high overall MRSA prevalence (>25%) (37). In contrast, in Slovenia, where MRSA proportions have decreased recently, variation between hospitals was low. Thus, the national campaign on infection control might have decreased not only MRSA prevalence but also the variation in MRSA proportions between hospitals.

Our database did not show vancomycin resistance; a few VISA isolates were reported from France only. This finding might be explained by the fact that EARSS collects routine data, whereas VISA will only be detected in specialized laboratories specialized laboratory A type of reference lab dedicated to a particular type of 'esoteric' testing–eg, allergy, coagulation, drugs–especially drugs of abuse, endocrinology, genetics, paternity, virology, etc. Cf Reference laboratory. . Moreover, the clinical and epidemiologic importance of (heterogeneous) VISA remains to be clarified.

EARSS results show that MRSA proportions increased in several countries. Variation in MRSA proportions exists at international and at national levels, and regional variation seems to be highest in countries with intermediate MRSA proportions (5%-20%). Although the reasons for this phenomenon are unknown, high variation may occur in countries where the epidemiology of MRSA is in a transition period (e.g., Germany). Also in countries with a high MRSA proportion, between-hospital variation remains considerable. The large differences between hospitals indicate that initiatives may be most effective when undertaken at the local or regional level (38). To combat the MRSA epidemic, public health researchers and all health professionals must understand the role of hospital hygiene protocols and of antimicrobial drug policies, as well as mechanisms of regional spread of MRSA throughout hospitals Studies that link information on MRSA guidelines, antimicrobial policies, and prescriptions with resistance rates at the level of the hospital, region, or both, may increase our understanding of the nature of the MRSA epidemic (43).
Table 1. Characteristics of EARSS database by countries (a,b)

                                                        Total no. of
Country (EARSS country code)    No. of hospitals (c)      isolates

Austria (AT)                             11                  656
Belgium (BE)                             36                2,953
Bulgaria (BG)                             4                  183
Croatia (HR)                              6                  341
Czech Republic (CZ)                      35                2,426
Denmark (DK)                             22                2,406
Estonia (EE)                              3                  112
Finland (FI)                             17                1,990
France (FR)                              24                3,376
Germany (DE)                             25                3,757
Greece (GR)                              19                1,126
Hungary (HU)                             12                  435
Iceland (IS)                              1                  184
Ireland (IE)                             19                2,897
Israel (IL)                               5                  849
Italy (IT)                               57                3,593
Luxemburg (LU)                            4                  214
Malta (MT)                                1                  240
Netherlands (NL)                         45                5,359
Poland (PL)                               8                  238
Portugal (PT)                            15                1,540
Slovakia (SK)                             7                  228
Slovenia (SI)                             8                  657
Spain (ES)                               35                2,985
Sweden (SE)                              54                6,071
United Kingdom (UK)                      27                5,343
Total                                   500               50,759

Country (EARSS country code)    No. of MRSA isolates (%)

Austria (AT)                            58 (8.8)
Belgium (BE)                           696 (23.6)
Bulgaria (BG)                           62 (33.9)
Croatia (HR)                           125 (36.7)
Czech Republic (CZ)                    142 (5.9)
Denmark (DK)                            14 (0.6)
Estonia (EE)                             1 (0.9)
Finland (FI)                            19 (1.0)
France (FR)                          1,117 (33.1)
Germany (DE)                           600 (13.8)
Greece (GR)                            500 (44.4)

Hungary (HU)                            31 (7.1)
Iceland (IS)                             1 (0.5)
Ireland (IE)                         1,192 (41.2)
Israel (IL)                            326 (38.4)
Italy (IT)                           1,470 (40.9)

Luxemburg (LU)                          41 (19.2)
Malta (MT)                             105 (43.8)
Netherlands (NL)                        30 (0.6)
Poland (PL)                             42 (17.7)
Portugal (PT)                          535 (34.7)
Slovakia (SK)                           24 (10.5)
Slovenia (SI)                          121 (18.4)
Spain (ES)                             739 (24.8)
Sweden (SE)                             48 (0.8)
United Kingdom (UK)                  2,217 (41.5)
Total                               10,256 (20.2)

Country (EARSS country code)    Period of participation

Austria (AT)                       Jan 2000-Dec 2002
Belgium (BE)                       Jul 1999-Dec 2002
Bulgaria (BG)                      Jan 2000-Dec 2002
Croatia (HR)                       Jul 2001-Dec 2002
Czech Republic (CZ)                Apr 2000-Dec 2002
Denmark (DK)                       Jan 1999-Sept 2002
Estonia (EE)                       Jan 2001-Dec 2002
Finland (FI)                       Jan 1999-Dec 2002
France (FR)                        Jan 2001-Dec 2002
Germany (DE)                       Jan 1999-Dec 2002
Greece (GR)                        Jan 1999-Dec 2001;
                                   Jul 2002-Dec 2002
Hungary (HU)                       Jan 2001-Dec 2002
Iceland (IS)                       Jan 1999-Dec 2002
Ireland (IE)                       Jan 1999-Dec 2002
Israel (IL)                        Jan 2001-Dec 2002
Italy (IT)                         Jan 1999-Jun 2000;
                                   Apr 2001-Dec 2002
Luxemburg (LU)                     Jan 1999-Dec 2002
Malta (MT)                         Jan 2000-Dec 2002
Netherlands (NL)                   Jan 1999-Dec 2002
Poland (PL)                        Jan 2001 Dec 2002
Portugal (PT)                      Jan 1999-Dec 2002
Slovakia (SK)                      Jul 2001-Dec 2002
Slovenia (SI)                      Jul 2001-Dec 2002
Spain (ES)                         Jan 2000-Dec 2002
Sweden (SE)                        Jan 1999-Dec 2002
United Kingdom (UK)                Jan 1999-Sept 2002
Total

(a) EARSS, European Antibiotic Resistance Surveillance System; MRSA,
methicillin-resistant Staphylococcus aureus.

(b) Only hospitals providing data of >20 isolates are included.

(c) According to EARSS hospital codes provided by the countries.

Table 2 Relative change in MRSA proportion per country per year and 95%
confidence intervals as calculated from Poisson regression models
(a,b,c)

                   Reported %       Reported %     Relative change per
Country           MRSA at start    MRSA in 2002        year, ratio

Austria              7.0 (d)            7.6                0.80
Belgium             22.1               27.2                1.25
Bulgaria            35.1 (d)           37.7                1.11
Czech Republic       4.5 (d)            6.2                1.15
Denmark              0.3                1.0                1.64
Finland              1.5                0.8                0.69
Germany              9.4               19.2                1.72
Greece              37.0               48.6                1.23
Iceland              0.0                0.0                0.52
Ireland             39.4               45.0                1.36
Italy               35.2               40.0                1.11
Luxembourg          15.0               18.3                1.09
Malta               34.7 (d)           42.5                1.58
Netherlands          0.4                1.0                1.62
Portugal            39.7               38.9                0.91
Slovenia            22.3 (d)           14.7                0.69
Spain               28.4 (d)           23.5                1.03
Sweden               1.1                0.7                0.95
United Kingdom      30.5               44.5                1.48

Country           95% CI of estimated change    p value

Austria                   0.48-1.34               0.39
Belgium                   1.12-1.41             < 0.01
Bulgaria                  0.59-2.09               0.76
Czech Republic            0.89-1.50               0.29
Denmark                   0.97-2.75               0.06
Finland                   0.43-1.11               0.13
Germany                   1.54-1.93             < 0.01
Greece                    0.89-1.71               0.21
Iceland                   0.07-3.67               0.51
Ireland                   1.17-1.58             < 0.01
Italy                     0.94-1.30               0.23
Luxembourg                0.71-1.67               0.70
Malta                     0.92-2.74               0.10
Netherlands               1.01-2.58               0.04
Portugal                  0.75-1.09               0.32
Slovenia                  0.51-0.93               0.02
Spain                     0.87-1.21               0.74
Sweden                    0.73-1.23               0.68
United Kingdom            1.31-1.66             < 0.01

(a) CI, confidence interval; MRSA, methicillin-resistant
Staphylococcus aureus.

(b) Adjusted for autocorrelation within hospitals and for variation in
the number of isolates per quarter, including only the hospitals
participating for at least 3 consecutive years and reporting data of
> 20 isolates.

(c) The change estimated by the model does not necessarily correspond
to the overall change that can be calculated from the second and third
column, this is because some trends first show an increase, followed by
a decrease, or vice versa.

(d) Data from year 2000 onwards.


Acknowledgments

We thank Nico Nagelkerke for his statistical advice, all EARSS participants for delivering their data, the EARSS data managers for entering and checking data and forwarding national data to the central EARSS database, all national representatives for initiating and maintaining the national networks, Stephen Murchan for providing an update on SARI in Ireland, Theresa Lamagni for providing information about the mandatory surveillance of MRSA bacteremia in England, and John Stelling for developing and maintaining the WHONET data-entry program, which is used by many participants.

This work was performed at the National Institute for Public Health and the Environment, Bilthoven, the Netherlands

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Dr. Tiemersma works as epidemiologist at the Center for Infectious Diseases infectious diseases: see communicable diseases.  Epidemiology at the National Institute for Public Health and the Environment in Bilthoven, the Netherlands. Her research interests focus on the epidemiology of infectious diseases in general and, specifically, on antimicrobial resistance in the Netherlands and in Europe.

Edine W. Tiemersma, * Stef L.A.M. Bronzwaer, * Outi Lyytikainen, ([dagger]) John E. Degener, ([double dagger double dagger
n.
A reference mark () used in printing and writing. Also called diesis.

Noun 1.
]) Paul Schrijnemakers, * Nienke Bruinsma, * Jos Monen, * Wolfgang Witte, ([section]) Hajo Grundmann,* and European Antimicrobial Resistance Surveillance System Participants (1)

* National Institute for Public Health and the Environment, Bilthoven, the Netherlands; ([dagger]) National Public Health Institute, Helsinki, Finland; ([double dagger]) University Hospital Groningen, Groningen, the Netherlands; and ([section]) Robert Koch Institute, Werningerode, Germany

(1) European Antimicrobial Resistance Surveillance System national representatives, 2002: Austria: H, Mittermayer, W. Keller; Belgium: H. Goossens, E. Hendrickx; Bulgaria: B. Markova; Croatia: S. Kalenic, A. Tambic-Andrasevic; Czech Republic: P. Urbaskova; Denmark: D. Monnet; Estonia: P. Naaber; Finland: O. Lyytikainen, A. Nissinen; France: H. Aubry-Damon, P. Courvalin; Germany: U. Buchholz, W. Witte; Greece: N. Legakis, G. Vatopoulos; Hungary: M. Fuzi; Ireland: D. O'Flanagan, O. Murphy; Iceland: K Kristinsson; Israel: R. Raz; Italy: G. Comaglia, P. D'Ancona; Luxembourg: R. Hemmer hem 1  
n.
1. An edge or border on a piece of cloth, especially a finished edge, as for a garment or curtain, made by folding an edge under and stitching it down.

2.
; Malta: M. Borg; Netherlands: A. de Neeling, E. Tiemersma; Norway: A. Hoiby, E. Bjorlow; Poland: W. Hryniewicz; Portugal: M Caniga; Romania: I. Codita; Slovenia: M. Gubina, J. Kolman; Slovakia: L. Langsadl; Spain: F. Baquero, J. Campos Campos (käm`ps), city (1996 pop. 391,299), Rio de Janeiro state, SE Brazil, on the Paraíba River near its mouth. ; Sweden: B. Liljequist; United Kingdom: A. Johnson, M. Whale.

Address for correspondence: Edine W. Tiemersma, Center for Infectious Diseases Epidemiology, National Institute for Public Health and the Environment, P.O. Box 1, 3720 BA Bilthoven, the Netherlands; fax: +31-30-274-4409; email: edine.tiemersma@rivm.nl
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Title Annotation:Research
Author:Grundmann, Hajo
Publication:Emerging Infectious Diseases
Geographic Code:1USA
Date:Sep 1, 2004
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