Quantifying within-household transmission of extended-spectrum ß-lactamase-producing bacteria.

OBJECTIVES: Patients can acquire extended-spectrum ß-lactamase (ESBL)-producing Enterobacteriaceae during hospitalization, and colonized patients may transmit these bacteria after discharge, most likely to household contacts. In this study, ESBL transmission was quantified in households. METHODS: Faecal samples were longitudinally collected from hospitalized patients colonized with ESBL-producing bacteria and from their household members during hospitalization of the index patient and at 3, 6, 12 and 18 months. A mathematical household model was developed, which allowed for person-to-person transmission, acquisition from other sources (background transmission), and losing carriage. Next, a deterministic population model with a household structure was created, informed by parameter values found in the household model. RESULTS: In all, 74 index patients and 84 household members were included. In more than half of the household members ESBL-producing bacteria were demonstrated at some time during follow up. Person-to-person transmission occurred at a rate of 0.0053/colonized person/day (0.0025-0.011), background transmission at 0.00015/day (95% CI 0.00002-0.00039), and decolonization at 0.0026/day (0.0016-0.0040) for index patients and 0.0090/day (0.0046-0.018) for household members. The estimated probability of transmission from an index patient to a household contact was 67% and 37% vice versa. CONCLUSION: There is frequent transmission of ESBL-producing bacteria in households, which may contribute to the observed endemicity of ESBL carriage in the Netherlands. However, the population model suggests that there is not a single dominant acquisition route in the community.

Predicting carriage with extended-spectrum beta-lactamase-producing bacteria at hospital admission: a cross-sectional study.

The prevalence of patients colonized with extended-spectrum beta-lactamase (ESBL)-producing bacteria increases, especially in long-term-care facilities (LTCFs). Identification of ESBL carriers at hospital admission is relevant for infection control measures and antibiotic therapy for nosocomial infections. We aimed to develop a prediction rule for ESBL carriage at hospital admission for patients admitted from home and LTCFs, and to quantify incidences of nosocomial infections caused by ESBL-producing bacteria. The ESBL-carrier status was determined of patients admitted from LTCFs and from home settings in four hospitals in the Netherlands using perianal swabs obtained within 48 hours of admission. Risk factors for ESBL carriage were assessed. Infections caused by ESBL-producing bacteria were identified retrospectively. Among 1351 patients, 111 (8.2%) were ESBL carriers at admission: 50/579 (8.6%) admitted from LTCFs and 61/772 (7.9%) from home settings (p 0.63). Previous ESBL carriage and previous hospital admission were risk factors for ESBL carriage in multivariable analysis. The area under the curve of the receiver operating characteristic curve of the model was 0.64 (95% CI 0.58-0.71). Presence of ≥1 risk factor (n = 803; 59%) had sensitivity of 72%. Incidences of nosocomial infections caused by ESBL-producing bacteria were 45.5/10,000 and 2.1/10,000 admission days for ESBL carriers and non-carriers, respectively (p <0.05). In conclusion, prevalence of ESBL carriage at hospital admission was 8.2%, and was comparable among patients admitted from LTCF and home. A clinically useful prediction rule for ESBL carriage at admission could not be developed. The absolute incidence of nosocomial infections by ESBL-producing bacteria was low, but higher among patients carrying ESBL-producing bacteria at the time of hospital admission.

Successful control of a hospital-wide outbreak of OXA-48 producing Enterobacteriaceae in the Netherlands, 2009 to 2011.

On 31 May 2011, after notification of Klebsiella pneumoniae (KP)(OXA-48;CTX-M-15) in two patients, nosocomial transmission was suspected in a Dutch hospital. Hospital-wide infection control measures and an outbreak investigation were initiated. A total of 72,147 patients were categorised into groups based on risk of OXA-48 colonisation or infection, and 7,527 were screened for Enterobacteriaceae(OXA-48) by polymerase chain reaction (PCR). Stored KP isolates (n=408) were retrospectively tested for OXA-48 and CTX-M-1 group extended-spectrum beta-lactamases (ESBL). 285 KP isolates from retrospective and prospective patient screening were genotyped by amplified fragment length polymorphism (AFLP). 41 isolates harbouring different Enterobacteriaceae species were analysed by plasmid multilocus sequence typing (pMLST). No nosocomial transmission of Enterobacteriaceae(OXA-48) was detected after 18 July 2011. Enterobacteriaceae(OXA-48) were found in 118 patients (KP (n=99), Escherichia coli (n=56), ≥1 Enterobacteriaceae(OXA-48) species (n=52)), of whom 21 had clinical infections. 39/41 (95%) of OXA-48 containing plasmids were identical in pMLST. Minimum inhibitory concentrations (MICs) of KP(OXA-48) and E. coli(OXA-48) for imipenem and meropenem ranged from ≤1 to ≥16 mg/L, and 153/157 (97%) had MIC >0.25 mg/L for ertapenem. AFLP identified a cluster of 203 genetically linked isolates (62 KP(OXA-48;CTX-M15); 107 KP(CTX-M-15); 34 KP(OXA-48)). The 'oldest' KP(CTX-M-15) and KP(OXA-48) clonal types originated from February 2009 and September 2010, respectively. The last presumed outbreak-related KP(OXA-48) was detected in April 2012. Uncontrolled transmission of KP(CTX-M-15) evolved into a nosocomial outbreak of KP(OXA-48;CTX-M15) with large phenotypical heterogeneity. Although the outbreak was successfully controlled, the contribution of individual containment measures and of the hospital relocating into a new building just before outbreak notification was impossible to quantify.

A disc diffusion assay for detection of class A, B and OXA-48 carbapenemases in Enterobacteriaceae using phenyl boronic acid, dipicolinic acid and temocillin.

Class A and B carbapenemases in Enterobacteriaceae may be detected using carbapenemase inhibition tests with boronic acid derivatives (BA) and dipicolinic acid (DPA)/EDTA, respectively. However, for OXA-48 (like) carbapenemases, no specific inhibitor is available. Because OXA-48 confers high-level temocillin resistance, a disc diffusion assay using temocillin as well as BA and DPA inhibition tests was evaluated for detection of class A, B and OXA-48 carbapenemases. The test collection included 128 well-characterized non-repeat Enterobacteriaceae isolates suspected of carbapenemase production; that is, with meropenem MICs ≥ 0.5 mg/L, including 99 carbapenemase producers (36 KPC, one GES, 31 MBL, four KPC plus VIM, 25 OXA-48, two OXA-162), and 29 ESBL and/or AmpC-producing isolates. PCR and sequencing of beta-lactamase genes was used as a reference test. Phenotypic carbapenemase detection was performed with discs (Rosco) containing meropenem (10 µg), temocillin (30 µg), meropenem + phenyl boronic acid (PBA), meropenem + DPA, meropenem + BA + DPA, and meropenem + cloxacillin (CL). Absence of synergy between meropenem and BA and/or DPA and a temocillin zone ≤10 mm was used to identify OXA-48. The sensitivity for identification of class A, B and OXA-48 carbapenemases was 95%, 90% and 100%, with 96-100% specificity. In non-Proteus species, the sensitivity for class B carbapenemase detection was 97%. All isolates without PBA or DPA synergy and a temocillin disc zone ≤10 mm were OXA-48 (like) positive. In conclusion, carbapenemase inhibition tests with PBA and DPA combined with a temocillin disc provide a reliable phenotypic confirmation method for class A, B and OXA-48 carbapenemases in Enterobacteriaceae.

Differences in the antibiotic susceptibility of human Escherichia coli with poultry-associated and non-poultry-associated extended-spectrum beta-lactamases.

The concurrent presence of bla CTX-M-1 and bla TEM-52 genes on similar plasmids of Escherichia coli isolated from poultry, chicken meat and humans supports the occurrence of food-borne transmission of extended-spectrum beta-lactamase (ESBL) genes. ESBL-producing E. coli (ESBL-E. coli) are most frequently detected in hospitalised patients and are known to spread in healthcare settings. We hypothesised that poultry-associated (PA) ESBL genes are predominant in the community, where acquisition is fuelled by food contamination, whereas non-PA ESBL genes are predominant in hospitals, with acquisition fuelled by cross-transmission. Then, differences in antimicrobial selective pressure in hospitals and poultry would create differences in co-resistance between PA and non-PA ESBL-E. coli. We, therefore, determined the prevalence and co-resistance of PA and non-PA ESBL-E. coli in community-acquired and nosocomial urinary tract infections in humans and bla CTX-M-1 and bla TEM-52 isolates from poultry. A total of 134 human ESBL-E. coli urine isolates were included in this study. Isolates containing bla CTX-M-1 or bla TEM-52 were considered to be PA, with the remainder being non-PA. Also, 72 poultry ESBL-E. coli were included. Minimum inhibitory concentration (MIC) values were determined by broth microdilution. The prevalence of PA ESBL genes in isolates obtained in general practice and hospitals was 28 % versus 30 % (n.s.). Human PA ESBL-E. coli were more frequently susceptible to ciprofloxacin (51 % vs. 25 %; p = 0.0056), gentamicin (86 % vs. 63 %; p = .0.0082), tobramycin (91 % vs. 34 %; p = 0.0001) and amikacin (98 % vs. 67 %; p = 0.0001) compared to human non-PA ESBL-E. coli. PA ESBL-E. coli are not more prevalent in community acquired than nosocomial urine samples, but are more often susceptible to ciprofloxacin and aminoglycosides than non-PA ESBL-E. coli. This does not support the existence of different reservoirs of ESBL genes.

Multi-centre evaluation of a phenotypic extended spectrum ß-lactamase detection guideline in the routine setting.

This study aimed to evaluate the routine setting performance of a guideline for phenotypic detection of extended spectrum ß-lactamases (ESBLs) in Enterobacteriaceae, recommending ESBL confirmation with Etest or combination disc for isolates with a positive ESBL screen test (i.e. cefotaxime and/or ceftazidime MIC >1 mg/L or an automated system ESBL warning). Twenty laboratories submitted 443 Enterobacteriaceae with a positive ESBL screen test and their confirmation test result (74%Escherichia coli, 12%Enterobacter cloacae, 8%Klebsiella pneumoniae, 3%Proteus mirabilis, 2%Klebsiella oxytoca). Presence of ESBL genes was used as reference test. Accuracy of local phenotypic ESBL detection was 88%. The positive predictive value (PPV) of local screen tests was 70%, and differed per method (Vitek-2: 69%, Phoenix: 68%, disc diffusion: 92%), and species (95%K. pneumoniae-27%K. oxytoca). A low PPV (3%) was observed for isolates with automated system alarm but third-generation cephalosporin MICs <2 mg/L. Local ESBL confirmation had a PPV and negative predictive value (NPV) of 93% and 90%, respectively. Compared with centrally performed confirmation tests, 7% of local tests were misinterpreted. Combination disc was more specific than Etest (91% versus 61%). Confirmation tests were not reliable for P. mirabilis and K. oxytoca (PPV 33% and 38%, respectively, although NPVs were 100%). In conclusion, performance of Etests could be enhanced by education of technicians to improve their interpretation, by genotypic ESBL confirmation of P. mirabilis and K. oxytoca isolates with positive phenotypic ESBL confirmation, and by interpreting isolates with a positive ESBL alarm but an MIC <2 mg/L for cefotaxime and ceftazidime as ESBL-negative.

Evaluation of the DiversiLab system for detection of hospital outbreaks of infections by different bacterial species.

Many bacterial typing methods are specific for one species only, time-consuming, or poorly reproducible. DiversiLab (DL; bioMérieux) potentially overcomes these limitations. In this study, we evaluated the DL system for the identification of hospital outbreaks of a number bacterial species. Appropriately typed clinical isolates were tested with DL. DL typing agreed with pulsed-field gel electrophoresis (PFGE) for Acinetobacter (n = 26) and Stenotrophomonas maltophilia (n = 13) isolates. With two exceptions, DL typing of Klebsiella isolates (n = 23) also correlated with PFGE, and in addition, PFGE-nontypeable (PFGE-NT) isolates could be typed. Enterobacter (n = 28) results also correlated with PFGE results; also, PFGE-NT isolates could be clustered. In a larger study (n = 270), a cluster of 30 isolates was observed that could be subdivided by PFGE. The results for Escherichia coli (n = 38) correlated less well with an experimental multilocus variable number of tandem repeats analysis (MLVA) scheme. Pseudomonas aeruginosa (n = 52) showed only a limited number of amplification products for most isolates. When multiple Pseudomonas isolates were assigned to a single type in DL, all except one showed multiple multilocus sequence types. Methicillin-resistant Staphylococcus aureus generally also showed a limited number of amplification products. Isolates that belonged to different outbreaks by other typing methods, including PFGE, spa typing, and MLVA, were grouped together in a number of cases. For Enterococcus faecium, the limited variability of the amplification products obtained made interpretation difficult and correlation with MLVA and esp gene typing was poor. All of the results are reflected in Simpson's index of diversity and adjusted Rand's and Wallace's coefficients. DL is a useful tool to help identify hospital outbreaks of Acinetobacter spp., S. maltophilia, the Enterobacter cloacae complex, Klebsiella spp., and, to a somewhat lesser extent, E. coli. In our study, DL was inadequate for P. aeruginosa, E. faecium, and MRSA. However, it should be noted that for the identification of outbreaks, epidemiological data should be combined with typing results.

[A patient with Legionella pneumophila serogroup-3 pneumonia, detected by PCR]. / Een patient met een pneumonie door Legionella pneumophila serogroep 3, vastgesteld door PCR.

A 59-year-old man was hospitalised because of dyspnoea, productive cough, fever, chills and malaise. Severe community-acquired pneumonia was diagnosed. Legionella urinary antigen testing, which can only detect serogroup 1, and the first culture ofa bronchoalveolar lavage (BAL) fluid sample were negative for Legionella. However, L. pneumophila DNA was detected by PCR in the BAL washing sample. Eventually, L. pneumophila serogroup 3 was isolated from this specimen by repeated culture. Although, in The Netherlands, legionellosis is caused by L. pneumophila serogroup 1 in more than 90% of all cases, this case demonstrates that a negative result of urinary antigen testing does not necessarily exclude this diagnosis. It is therefore advocated to expand the diagnostics to a Legionella PCR on respiratory material of patients with clinical signs of Legionella pneumonia in whom the urinary antigen test is negative.

Transient relapses ("blips") of plasma HIV RNA levels during HAART are associated with drug resistance.

INTRODUCTION: In a large number of patients on HAART who achieved plasma HIV RNA levels below the limit of detection (50 copies/ml), transient relapses of HIV RNA levels ("blips") are observed. OBJECTIVE: To determine whether relapses of plasma HIV RNA during HAART are associated with development of drug resistance. METHODS: Plasma samples from 15 patients with a transient viral load relapse during HAART were studied. All regimens contained lamivudine (3TC). We used an ultrasensitive sequence approach to analyze the presence of drug resistance mutations during the relapse. RESULTS: The median plasma HIV RNA load of the relapse was 76 copies/ml (range 50-1239). In 11 of 15 cases, a genotype of HIV could be obtained. Mutations in the RT and protease gene conferring resistance to one or more drugs were observed in 8 of 11 patients, 6 of whom had the M184V substitution. During a median follow-up of 27 months after the relapse, plasma HIV RNA levels remained undetectable in 13 of 15 patients. CONCLUSIONS: Plasma HIV RNA blips during HAART can be associated with selection of drug-resistant HIV. This indicates that viral replication may occur during HAART, probably caused by a temporary decrease in active drug concentrations. A blip containing only wild-type virus is not necessarily caused by viral replication. In this situation the raise of HIV RNA could also originate from release of wild-type viruses, caused by activation of the latent virus reservoir. Independent of the mechanism, blips did not preclude successful inhibition of viral replication during 2-year follow-up in the majority of these cases.

The dominant source of CD4+ and CD8+ T-cell activation in HIV infection is antigenic stimulation.

To distinguish between antigenic stimulation and CD4+ T-cell homeostasis as the cause of T-cell hyperactivation in HIV infection, we studied T-cell activation in 47 patients before and during highly active antiretroviral therapy (HAART). We show that expression of human leukocyte antigen (HLA)-DR, CD38, and Ki67 on T cells decreased during HAART but remained elevated over normal values until week 48 of therapy. We confirm previous reports that T-cell activation correlates positively with plasma HIV RNA levels (suggesting antigenic stimulation), and negatively with CD4 count (suggesting CD4+ T-cell homeostasis). However, these correlations may be spurious, because misleading, due to the well-established negative correlation between CD4 count and plasma HIV RNA levels. To resolve this conflict, we computed partial correlation coefficients. Correcting for CD4 counts, we show that plasma HIV RNA levels contributed to T-cell hyperactivation. Correcting for plasma HIV RNA levels, we show that CD4+ T-cell depletion contributed to T-cell activation. Correcting for both, activation of CD4+ and CD8+ T cells remained positively correlated. Because this suggests that CD4+ and CD8+ T-cell activation is caused by a common additional factor, we conclude that antigenic stimulation by HIV or other (opportunistic) infections is the most parsimonious explanation for T-cell activation in HIV infection. Persistence of HIV antigens may explain why T-cell activation fails to revert to levels found in healthy individuals after 48 weeks of therapy.

Increased cell division but not thymic dysfunction rapidly affects the T-cell receptor excision circle content of the naive T cell population in HIV-1 infection.

Recent thymic emigrants can be identified by T cell receptor excision circles (TRECs) formed during T-cell receptor rearrangement. Decreasing numbers of TRECs have been observed with aging and in human immunodeficiency virus (HIV)-1 infected individuals, suggesting thymic impairment. Here, we show that in healthy individuals, declining thymic output will affect the TREC content only when accompanied by naive T-cell division. The rapid decline in TRECs observed during HIV-1 infection and the increase following HAART are better explained not by thymic impairment, but by changes in peripheral T-cell division rates. Our data indicate that TREC content in healthy individuals is only indirectly related to thymic output, and in HIV-1 infection is mainly affected by immune activation.

Randomized trial comparing saquinavir soft gelatin capsules versus indinavir as part of triple therapy (CHEESE study).

OBJECTIVE: To compare efficacy and tolerability of saquinavir soft gelatin capsule (SQV-SGC) formulation and indinavir, both given as part of a triple drug regimen containing zidovudine and lamivudine, in HIV-1-infected individuals. DESIGN: Randomized, open label, multicentre study. PATIENTS: A total of 70 patients who were antiretroviral-naive and who had a CD4 cell count < 500 x 10(6)/I and/or > 10000 HIV RNA copies/ml plasma and/or HIV-related symptoms. Subjects were assigned randomly to zidovudine 200 mg three times per day plus lamivudine 150 mg twice per day plus either SQV-SGC 1200 mg three times per day (SQV-SGC group) or indinavir 800 mg three times per day (indinavir group). Data are presented for all patients up to week 24. RESULTS: Mean baseline CD4 cell counts (+/- SE) were 301+/-29 x 10(6) cells/l and 310 +/-43 x 10(6) cells/l in the SQV-SGC and indinavir groups, respectively. The log10 median baseline HIV RNA load was 5.00 copies/ml in the SQV-SGC group and 4.98 copies/ml in the indinavir group. No difference in antiretroviral effect between the treatment arms could be demonstrated. Intention-to-treat analysis (last observation carried forward [LOCF]) at week 24 revealed that RNA levels decreased to < 50 copies/ml in 74.3% of patients in the SQV-SGC group and in 71.4% of the patients in the indinavir group (P = 0.78). In the on-treatment analysis the proportion of patients < 50 copies/ml at week 24 was 88.0% in the SQV-SGC group and 84.6% in the indinavir group (P = 0.725). Intriguingly, the mean increase of CD4 cells in the first 24 weeks was 162+/-20 x 10(6) cells/l in the SQV-SGC group and 89+/-21 x 10(6) cells/l in the indinavir group (P = 0.01), but preliminary data indicate that this difference in CD4 cell count gain may disappear after 24 weeks of treatment. Both regimens were generally well tolerated. CONCLUSION: During the first 24 weeks of the study, we found no difference in antiviral potency between the indinavir group and the SQV-SGC group. A significantly higher CD4 response in the SQV-SGC group was observed.

Early recovery of CD4+ T lymphocytes in children on highly active antiretroviral therapy. Dutch study group for children with HIV infections.

INTRODUCTION: Regeneration of CD4+ T lymphocytes has been shown to be thymus-dependent in bone marrow transplant recipients and after intensive chemotherapy. The rate of CD4+ T cell regeneration is correlated positively with enlargement of the thymus, as shown on radiographs, and higher rates of CD4+ T lymphocyte regeneration were observed in children as compared with adults, consistent with thymic function diminishing with age. We hypothesized that in HIV infected patients CD4+ T cell recovery during highly active antiretroviral therapy (HAART) may also be thymus dependent. Therefore, repopulation of naive (CD45RA+), memory (CD45RO+) and total CD4+ T lymphocytes and total CD8+ T lymphocytes in peripheral blood was assessed in 13 HIV infected children during the initial 3 months of HAART. RESULTS: Significantly higher recovery rates of naive, memory and total CD4+ T cells were observed in children below the age of 3 years as compared with older children. Kinetics of total CD8+ T cells showed no relation to age. Moreover, recovery rates of naive CD4+ T cells in patients below 3 years of age were 10-40 fold higher as compared with previously reported naive CD4+ T cell recovery rates in adults on HAART. CONCLUSIONS: High recovery rates of naive, memory and total CD4+ T cells can be achieved in children below 3 years of age. Changes in CD8 counts did not correlate with age. These results indicate that regeneration of CD4+ T cells during HAART may be a thymus-dependent process.