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Antimicrobial Agents and Chemotherapy, August 2004, p . 3016-3023, Vol . 48, No . 8 Emergence of Streptococcus pneumoniae with Very-High-Level Resistance to Penicillin
Stephanie J . Schrag,1*
Lesley McGee,1,2
Cynthia G . Whitney,1
Bernard Beall,1
Allen S . Craig,3
Miriam E . Choate,2
James H . Jorgensen,4
Richard R . Facklam,1
Keith P . Klugman,1,2 and the Active Bacterial Core Surveillance Team Division of Bacterial and Mycotic Diseases, National Center for Infectious Diseases, Centers for Disease Control and Prevention,1 Department of International Health, Rollins School of Public Health, and Division of Infectious Diseases, School of Medicine, Emory University, Atlanta, Georgia,2 Tennessee Department of Health, Nashville, Tennessee,3 Department of Pathology, University of Texas Health Science Center at San Antonio, San Antonio, Texas4 Received 29 January 2004/ Returned for modification 5 April 2004/ Accepted 26 April 2004
The emergence of antimicrobial resistance threatens the successful treatment of pneumococcal infections . In 1998, 24% of all invasive pneumococcal isolates captured by a multistate, population-based surveillance network were resistant to penicillin, and 14% of all isolates were resistant to three or more drug classes (31) . The clinical impact of antibiotic resistance has been clearly demonstrated for pneumococcal meningitis (18) and for otitis media (5, 6, 8, 15) . Evidence for a relationship between resistance and pneumonia treatment failures is less clear, although studies suggest that case fatality rates may be higher for pneumococcal pneumonia caused by strains with elevated resistance to penicillin (10) .
In addition to the emergence of resistance to newer drug classes such as the fluoroquinolones (3), the evolution of strains with resistance to higher concentrations of antimicrobial agents raises cause for concern . Among invasive pneumococcal isolates, strains of intermediate susceptibility predominated in the United States in the 1980s . Penicillin resistance (MICs
In this report, we use data from national sentinel and population-based surveillance for invasive pneumococcal disease to document the emergence of pneumococci with very-high-level resistance to penicillin (penicillin MIC of
Population-based surveillance. The Active Bacterial Core surveillance (ABCs) of the Emerging Infections Program Network, a core component of the CDC's Emerging Infections Program, is an active, population-based, laboratory-based surveillance system . All surveillance areas that monitored for invasive pneumococcal infections from 1995 through 2001 were included in the overall analysis: Portland, Oregon (3 counties starting in July 1995); California (3 San Francisco Bay area counties for the first three quarters of 1995, and San Francisco County only thereafter, with the addition of Contra Costa and Alameda counties in October 2000 for children <5 years of age); Denver, Colorado (5 counties beginning in July 2000); Minneapolis and St . Paul, Minnesota (7 counties staring in April 1995); the Baltimore metropolitan area, Maryland (starting in January 1995); Atlanta, Georgia (8 metro counties starting in January 1995; expanded to 20 metro area counties in January 1997); selected urban areas of Tennessee (5 counties staring in January 1995; expanded to 11 counties in August 1999); upstate New York (7 Rochester area counties starting in July 1997; expanded to include 8 Albany area counties starting in January 1999); and the state of Connecticut (starting in March 1995) . The total population under surveillance in 2000 was over 21 million persons, based on U.S . Census Bureau data .
Analyses of trends over time were limited to those surveillance counties that had continuous surveillance from 1996 through 2001 . For the year 2000 this represented 16,203,806 people, including 1,094,954 children less than 5 years of age and 1,767,071 people
A case of invasive pneumococcal disease was defined as isolation of S . pneumoniae from a normally sterile body fluid (e.g., blood, cerebrospinal, peritoneal, joint, or pleural fluid) from a surveillance area resident . To identify cases, surveillance personnel periodically contacted all clinical microbiology laboratories in their areas . Periodic audits of laboratory records were conducted at least every 6 months to ensure complete reporting . Case-patient information was collected by using a standardized questionnaire that included demographic data, clinical syndrome, and disease outcome . Pneumococcal isolates were sent to reference laboratories for serotyping based on the Quellung reaction . Isolates from Minnesota were tested at the Minnesota Department of Health laboratory, and all others were tested at the CDC . Isolates underwent susceptibility testing by broth microdilution according to NCCLS methods (23); testing was performed at the CDC, the Minnesota Department of Public Health, or the University of Texas Health Science Center at San Antonio . Although the drugs included in susceptibility panels varied somewhat by year, panels in all years included penicillin wells with concentrations of up to 16 µg/ml . Disease incidence rates were calculated by using population estimates from the U.S . Census Bureau; for cases in 2001, data from the 2000 census were used . Molecular epidemiology. Isolates from 2000 and 2001 (n = 79) were fingerprinted by pulsed-field gel electrophoresis (PFGE) and multilocus sequence typing (MLST) . Briefly, genomic DNA was prepared in situ in agarose blocks as described previously (19, 21) and was digested with SmaI (Life Technologies, Gaithersburg, Md.) . The fragments were resolved by PFGE in 1% agarose (SeaKem GTG agarose; BioWhittaker Molecular Applications, Rockland, Maine) in 0.5x Tris-borate-EDTA buffer at 14°C at 6 V/cm in a CHEF-DR III system (Bio-Rad Laboratories, Hercules, Calif.) . The parameters in block 1 were an initial pulse time of 1 s, increased to 30 s for 17 h, and in block 2, the initial pulse time was 5 s, increased to 9 s for 6 h . Fingerprint patterns were compared by using BioNumerics (Applied Maths, Sint-Martens-Latem, Belgium) analysis software and related to 26 international clones described by the Pneumococcal Molecular Epidemiology Network (reference 22 and www.pneumo.com) . A dendrogram based on the unweighted pair group method using arithmetic averages was constructed by using the Dice similarity coefficient and a band tolerance position of 1.5% . Based on PFGE clustering, 17 isolates were selected for MLST analysis as described previously (9, 11) . Internal fragments of the aroE, gdh, gki, recP, spi, xpt, and ddl genes were amplified by PCR from chromosomal DNA, and the fragments were directly sequenced in each direction by using the primers that were used for the initial amplification . The sequences (alleles) at each locus were compared to those at the MLST website (www.mlst.net) and were assigned allele numbers if they corresponded to sequences already submitted to the MLST database; novel sequences were submitted for new allele numbers and deposited in the database . The allele numbers at the seven loci were compared to those at the MLST website, and sequence types (STs) were assigned . Allelic profiles that were not represented in the MLST database were submitted for assignment of new ST numbers and deposited in the database .
Definitions.
Isolates were defined as susceptible, intermediate, or resistant according to 2003 NCCLS definitions (23) . Strains for which the penicillin MICs range from 2 to 4 µg/ml are considered resistant, and strains for which the penicillin MIC is
Underlying conditions predisposing patients to pneumococcal infection were defined according to present Advisory Committee on Immunization Practices recommendations for pneumococcal polysaccharide vaccine and included cancer, renal insufficiency, human immunodeficiency virus infection, diabetes, chronic obstructive pulmonary disorder, sickle cell disease, cirrhosis, alcoholism, congestive heart failure, and patients undergoing immunosuppressive therapies . Infections where pneumococci were isolated after greater than 2 days of hospital admission were considered nosocomial; all others were community acquired . Statistical analyses. Statistical analyses were conducted by using SAS version 8.0 (SAS Institute Inc., Cary, N.C.) . The chi-square test for trend was used to assess linear trends over time . We used the chi-square and Fisher exact tests to compare proportions . Univariate analysis used for variables with more than two levels and multivariable analyses were performed by using logistic regression . Multivariable models were evaluated by starting with all factors that were significant at a P of <0.15 in univariate analysis and dropping nonsignificant factors in a backwards, stepwise fashion . All two-way interactions in final multivariable models were evaluated . Throughout, two-sided P values of <0.05 were considered statistically significant, and 95% confidence intervals (CI) are reported .
Among isolates with susceptibility results, the penicillin MIC for 1% (225 of 23,996) was 8 µg/ml . No strains were identified for which the penicillin MIC was greater than 8 µg/ml .
Trends over time.
In 1995, very-high-level penicillin-resistant pneumococci were identified in California, Minnesota, Tennessee, and Georgia . By 1997 all additional participating areas had identified at least one invasive pneumococcal case due to a highly resistant isolate . However, highly resistant strains were predominantly (48%, or 107 of 225) from Tennessee . In areas with continuous surveillance from 1995 through 2001, the proportion of isolates with very-high-level resistance to penicillin increased significantly from 0.56% of isolates in 1995 to 0.87% of isolates in 2001 (
In Tennessee, the surveillance area with a predominance of very-high-level penicillin-resistant strains (3.8%), serotype data were available starting in 1995 . In 1995, strains with very-high-level penicillin resistance were identified in two counties and belonged to three serotypes (23F, 14, and 6B) . An additional serotype, 6A, was only detected once, in 2001 . Otherwise, these three very-high-level resistant serotypes circulated in Tennessee and were ultimately found in 10 of 11 surveillance area counties . Clinical characteristics of very-high-level penicillin-resistant pneumococcal infections. The majority of infections due to very-high-level penicillin-resistant pneumococci presented as bacteremic pneumonia (50%, or 113 of 226), primary bacteremia (36%, or 81 of 226), and meningitis (6%, or 14 of 226); greater than 98% of infections were community acquired . Underlying conditions predisposing to pneumococcal infection were common among this population (44%) . As with other pneumococcal infections, a disproportionate number of cases occurred among children <5 years of age and among the elderly (24 and 29%, respectively); 9.7% (22 of 226) of infected patients died . Over half of pneumococcal infections caused by very-high-level penicillin-resistant strains (52%, or 109 of 210 strains with known serotype) belonged to serotype 23F; 32% (68 of 210) were type 14 . The remainder was distributed among types 6A, 6B, 9V, 19A, and 19F . All strains were resistant to at least one other drug class; 55% were resistant to at least three drug classes .
Factors associated with very-high-level penicillin-resistant pneumococcal infections.
Resistance to at least three drug classes and residence in Tennessee were the two strongest risk factors in both univariate and multivariable analyses with adjusted odds ratios (OR) of 5.5 (4.1 to 7.2) and 5.4 (4.1 to 7.1), respectively . Compared to adults aged 18 to 64 years, children less than 5 years of age were at the greatest risk of infection with these strains (adjusted OR, 1.8; 95% CI, 1.3 to 2.5) as were adults of
When analyses were limited to the subset of strains that were penicillin nonsusceptible (n = 5,894), the only factors significantly associated with very-high-level penicillin resistance were residence in Tennessee and age of less than 5 years; these remained significant in multivariable analysis .
The serotype could not be analyzed in the primary models because data were only routinely available from 1998 to 2001 . For the subset of isolates where the serotype was available, strains for which the penicillin MICs were very high were significantly more likely than other penicillin-nonsusceptible strains to belong to serotype 23F (52 versus 7%;
Antimicrobial susceptibility characteristics.
In contrast to other penicillin nonsusceptible pneumococci, all strains with very-high-level resistance to penicillin were resistant to at least one other drug class (100 versus 83%;
Clinical impact of resistance.
Patients with very-high-level penicillin-resistant infections were not more likely than other pneumococcal case patients to be hospitalized . They were also not more likely to die of their infections (9.7 versus 10.5%); controlling for age and race, case fatality was not higher for very-high-level penicillin-resistant infections (OR, 1.1; 95% CI, 0.7 to 1.7) . However, among hospitalized patients (18,766, or 78% of patients), the mean length of hospital stay (available for 89% of hospitalized patients) was significantly longer for patients with highly resistant pneumococcal infections, when controlling for age (for children <18 years of age: 8.7 versus 6.6 days, Kruskal-Wallis
Molecular epidemiology of very-high-level penicillin-resistant isolates. The PFGE fingerprint patterns and clustering of the 79 isolates from 2000 to 2001 and relatedness to 26 international clones are shown in Fig . 2 . The majority of isolates (n = 70; 88%) were assigned to one of five clusters based on PFGE patterns and MLST data (clusters I to V) . Isolates assigned to cluster I by PFGE (n = 4; 5%) were related to Maryland6B-17, and analysis of the seven housekeeping genes of two of these isolates (strains 151 and 204) revealed novel sequence types (ST691 and ST693) which are single-locus variants (SLV) of the type clone . All isolates (n = 5; 6%) belonging to the major Spain23F-1 clone showed unique STs that differed at 1, 2, or 3 loci from the type strain (ST81) . Thirty-one isolates (39%) were related to Tennessee23F-4 (ST37 cluster III), and five isolates chosen for MLST were identical to or SLVs of ST37 . Two isolates (136 and 148) had identical novel ddl sequences (allele 105), resulting in new ST692 . Cluster IV included 28 isolates (35%) related to the England14-9 clone by PFGE and MLST . Representative cluster IV isolates were SLVs or double-locus variants of this type strain . All isolates (n = 4; 12.5%) related to the major Spain23F-1 clone yielded unique STs and differed at 1, 2, or 3 loci from the type strain (ST81) . Two serotype 19F isolates (168 and 146) were SLVs and double locus variants of the Taiwan19F-14 clone . They both shared a unique ddl sequence that is identical to a Streptococcus oralis ddl allele .
When first detected in 1995, very highly resistant strains already belonged to multiple serotypes and were present in three regions of the United States (west, southeast, and midwest), although strains predominated in Tennessee . The high degree of clonality of these strains suggests local dissemination in focal areas of the United States . Our data suggest multiple, independent origins of very-high-level penicillin resistance and are consistent with molecular analyses suggesting that recently circulating strains belong to at least five clonal groups, although clusters related to Tennessee23F-4 and to England14-9 clearly predominated . The reference strain for Tennessee23F-4, first described in the early 1990s, is a penicillin-intermediate (MIC of 0.12 µg/ml) and very-high-level cefotaxime-resistant (MIC of 32 µg/ml) isolate . This specific resistance phenotype is characterized by a Thr-550-Ala substitution in the pbp2x gene which provides increased resistance to extended-spectrum cephalosporins but a loss of resistance to penicillin (4) . The strains in this study have evolved to very high penicillin MICs (8 µg/ml) and various levels of cefotaxime resistance (MICs of 1 to 16 µg/ml), and analysis of the pbp genes should provide insight into the mechanism of this increased resistance . The reference strain for the England14-9 clone is an erythromycin-resistant isolate first described in the United Kingdom in the 1990s (12), and strains belonging to this clone continue to be isolated in many parts of Europe . The strains in this study belonging to the England14-9 clone are all multidrug resistant, suggesting that in the past decade this clone has evolved resistance to various classes of antibiotics in the United States . The emergence of very-high-level penicillin resistance in the globally disseminated Spain23F-1 and Taiwan19F-14 clones and in the Maryland6B-17 clone emphasize the need for continued surveillance since these international clones have contributed to the rapid increase in resistance to many classes of antibiotics worldwide (11) .
The ddl locus from S . oralis in two of these strains suggests that the origin of very-high-level resistance in some strains may result from the transformation and incorporation of resistance determinants from viridans group streptococci . Little is known about the molecular basis of very-high-level penicillin resistance in pneumococci . A pneumococcus for which the penicillin MIC is 16 µg/ml was identified in Hungary from 1997 to 1998 (28) . The cefotaxime MIC for that strain was 4 µg/ml . The very high (MIC
Among patients with highly penicillin-resistant invasive infections, there was no strong evidence of a clinical impact of resistance, although among hospitalized patients the mean length of stay was longer, suggesting the possibility of a more difficult treatment course . The clinical impact of pneumococcal resistance, particularly for the case of nonmeningeal syndromes where high antibiotic concentrations can typically be achieved, has been difficult to characterize (10, 15, 30) . We were further limited by a lack of information on the antimicrobial therapies patients received and of detail on illness severity and underlying conditions . It is also possible that we did not detect a clinical impact of resistance because penicillin is no longer used as a first-line treatment . However, there is no evidence that ceftriaxone or cefotaxime, common first-line therapies for pediatric pneumococcal infections, can effectively treat nonmeningitis infections caused by strains for which the MICs are
Lack of a clinical impact of resistance may also result from the impaired virulence of very highly resistant strains . Characterization of the genetic mechanism of very-high-level penicillin resistance may shed light on this issue . Fitness costs associated with resistance are not uncommon, but adaptations compensating for these costs often evolve (20, 24, 26) . Although the prevalence of highly penicillin-resistant invasive isolates increased from 1995 to 2001, fluctuations from year to year and the overall low annual prevalence (<2% at its maximum) (Fig . 1) do not suggest rapid spread of this resistance profile but, rather, local dissemination of resistant clones . Moreover, the newly licensed pneumococcal conjugate vaccine may be effective at limiting the spread of very-high-level penicillin-resistant strains . The majority of very highly resistant strains occurred in vaccine-included serotypes, particularly 23F and 14 . Moreover, the prevalence of very-high-level penicillin resistance, particularly among young children, declined in 2001 following vaccine introduction . Selective pressures favoring the emergence and spread of very-high-level penicillin resistance remain unclear . It is likely that the association of very-high-level penicillin resistance with resistance to other drugs played a role . While the United States and some other developed countries have experienced shifts towards higher penicillin MICs (31), in many developing countries, including South Africa where fully resistant pneumococci were first described in 1978 (14), intermediate penicillin resistance continues to predominate (13) . The emergence of pneumococci with very-high-level penicillin resistance poses a further challenge to the medical community to develop novel agents active against the increasingly resistant pneumococcus .
This study was supported by funds from the CDC/National Center for Infectious Diseases Emerging Infections Program Network and Antimicrobial Resistance Working Group, the National Vaccine Program Office, and the CDC Opportunistic Infections Working Group . The molecular epidemiology work conducted at Emory University was supported by a grant from Roche Laboratories to K.K . and L.M .
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