Volume 26, Number 9—September 2020
Duration of Carbapenemase-Producing Enterobacteriaceae Carriage in Hospital Patients
To determine the duration of carbapenemase-producing Enterobacteriaceae (CPE) carriage, we studied 21 CPE carriers for »1 year. Mean carriage duration was 86 days; probability of decolonization in 1 year was 98.5%, suggesting that CPE-carriers’ status can be reviewed yearly. Prolonged carriage was associated with use of antimicrobial drugs.
Rapid global dissemination of carbapenemase-producing Enterobacteriaceae (CPE) poses a public health threat (1). To prevent the spread of CPE in healthcare settings, international guidelines advocate for early identification, isolation, and contact precautions (2,3). To provide information helpful for the design of rational infection control policies, we estimated CPE carriage duration in a hospital cohort and identified risk factors for prolonged carriage.
During October 2016–February 2018, we conducted a prospective cohort study involving CPE carriers from 2 tertiary care centers in Singapore. CPE carriers were identified by routine collection of rectal swab samples in accordance with local infection control policies. We included patients who were >21 years of age and had the capacity to provide consent (Appendix Figure 1). We retrieved from medical records of enrolled patients the latest dates of CPE-negative rectal swab samples before the first positive sample. We collected fecal samples from participants at the time of enrollment, weekly for 4 weeks, monthly for 5 months, and bimonthly for 6 months. We recorded demographic characteristics, healthcare contact history, and medication history.
The fecal samples were inoculated onto selective chromogenic agar (CHROMID CARBA SMART; bioMérieux, https://www.biomerieux-diagnostics.com), and species identification was performed with matrix-assisted laser desorption/ionization time-of-flight mass spectrometry (Bruker, https://www.bruker.com). Antimicrobial susceptibility testing was performed by using VITEK-2 (bioMérieux). All Enterobacteriaceae isolates with a MIC of >2 mg/L for meropenem or >1.0 mg/L for ertapenem underwent PCR to detect blaNDM-1, blaKPC, blaOXA-48, blaIMI-1, and blaIMP genes (4). All CPE isolates and fecal DNA underwent sequencing on an Illumina HiSeq 4000 sequencer (https://www.illumina.com). We used the Shannon diversity index to measure α-diversity for fecal microbial communities (https://cran.r-project.org/web/packages/vegan/vegan.pdf).
We analyzed data by using Bayesian multistate Markov models to account for interval censoring (Appendix). First, we estimated the overall transmission rates by considering patients to be in either CPE colonized or noncolonized states. Second, we considered CPE colonization on the species level and included as separate states carbapenemase-producing (CP)–Escherichia coli (CP-EC) colonized, CP–Klebsiella pneumoniae (CP-KP) colonized, and CP-EC/KP co-colonized (Appendix Figure 2). All analyses were performed by using R version 3.4.4 (https://www.R-project.org) and RStan (http://mc-stan.org).
We enrolled 21 patients (Table). Mean (± SD) follow-up period was 294 (± 77) days, and each participant provided 12 (± 1.5) samples. Throughout follow-up, 15 (71.4%) participants carried >1 species of CPE, and only 3 (14.3%) carried >1 type of carbapenemase gene (χ2 of difference in proportions = 14.8, simulated p = 0.0005) (Appendix Table 1). The most common species carried were K. pneumoniae (18 [85.7%]) and E. coli (16 [76.2%]). The most frequently observed carbapenemase genes were blaOXA-48 (11 [52.4%]) and blaKPC (8 [38.1%]). We obtained 76 CP-KP isolates from the samples; the most common sequence type (25 [32.9%]) was 307. Among the 83 CP-EC isolates, the most common sequence type (22 [26.5%]) was 131. Sample positivity was continuous until clearance for most (17 [81.0%]) of the 21 participants. For 4 participants, negative samples were followed by positive samples; the longest period was 3 negative samples over 3 consecutive weeks (Appendix Figure 5).
The estimated mean duration of CPE carriage was 86 (95% credible interval [CrI] 60– 122) days. The probability of decolonization in 1 year was 98.5% (95% CrI 95.0%–99.8%), assuming a constant decolonization rate within the time interval. The longest observed carriage duration was 387 days. We performed a sensitivity analysis that included 16 participants who became decolonized during follow-up (i.e., the last sample collected was negative for CPE). This analysis gave a mean carriage time of 77 (95% CrI 53–108) days and a 98.8% (95% CrI 96.5%–99.9%) probability of decolonization within 1 year.
As time-fixed covariates, we analyzed age, co-colonization with other multidrug-resistant organisms, presence of a urinary catheter, antimicrobial drug use during follow-up, Charlson Comorbidity Index score, and readmission; as a time-varying covariate, we used the Shannon Diversity Index score to explore the covariates’ association with decolonization (Appendix Figure 3). The only factor associated with prolonged CPE carriage was antimicrobial drug use during the follow-up period (hazard ratio 0.48, 95% CrI 0.20–0.93). The rate of decolonization for CP-EC was lower than that for CP-KP (0.018 [95% CrI 0.007–0.031] per day vs. 0.030 [95% CrI 0.016–0.049] per day) (Appendix Table 2, Figure 4).
CPE infections are typically preceded by asymptomatic carriage, especially in vulnerable patients such as those who are immunocompromised and critically ill (5). To prevent transmission, active surveillance to identify CPE carriers is essential but may be associated with a high cost:benefit ratio if implemented without knowledge of the natural history of CPE carriage.
Previously reported CPE carriage durations vary widely; median durations range from 43 to 387 days (5–7). These variations probably result from differences in follow-up schedules, microbiological and molecular methods used to identify CPE, and criteria to define clearance. Studies that reported longer carriage duration tended to adopt an opportunistic sampling strategy and considered both clinical and fecal samples to determine carriage (7). Opportunistic sampling may lead to selection bias because patients with more healthcare contacts would have more samples collected. Infrequent and inconsistent sampling is more likely to misclassify recolonization from a new transmission event as continuous colonization, resulting in perceived longer duration of carriage.
Of note, the participants carried more species of CPE than types of carbapenemase genes. Although this observation may be the result of new acquisition events, it is more parsimoniously explained by active interspecies horizontal gene transfer, especially in a low-transmission setting such as Singapore. Differential rates of clearance of CP-KP and CP-EC can be related to colonizing affinity of the species and fitness cost of carbapenemase genes, which vary widely among different species (8). Further studies incorporating between-host and within-host transmission dynamics of resistance may shed light on the roles of bacterial clones and plasmids in spreading and maintaining resistance.
Our study has limitations. First, because the participants were screened after hospital admission, the time of initial colonization could not be confidently determined. However, our multistate Markov models assume a constant rate of decolonization. Our sensitivity analysis used the latest CPE-negative swab samples, so carriage duration estimates were similar to those calculated without the last known CPE-negative swab samples, suggesting that our modeling assumptions were reasonable. Second, our sample size was small and drawn from a single population, and the extent to which our findings can be extrapolated to other populations is uncertain. However, our study was rigorously conducted in terms of frequency of fecal sample collection, duration of follow-up, and number of participants in a nonoutbreak setting. The use of multistate models has been shown to preserve power with modest sample size given more frequent follow-ups (9).
Our systematic sampling and robust methods for identifying CPE enabled us to closely follow participants’ carriage status. Using combined detection methods of culture on carbapenem-resistance selective media, antibiotic susceptibility testing, and PCR, we found that 4 (19.0%) patients had intervening negative samples, 1–3 weeks apart. This finding suggests that a patient should have >2 negative samples 4–6 weeks apart before considering CPE to be eliminated. The finding that the probability of decolonization is 98.5% in 1 year suggests that a policy of reviewing CPE carrier status yearly may be appropriate for this population. Further health economics analysis is needed to make institution-specific recommendations for rescreening frequency. Given the finding that antimicrobial drug use was the most important factor associated with prolonged CPE carriage, use of antimicrobial drugs in these patients should be avoided if not clinically indicated.
Dr. Mo is an infectious diseases physician and senior lecturer at the National University of Singapore. Her research interests are antimicrobial resistance and infection control. She is pursuing a PhD degree with the University of Oxford and leading a multicenter clinical trial in Asia on shortening duration of antimicrobial drug use for patients with ventilator-associated pneumonia.
The study is primarily supported by the Singapore Biomedical Research Council–Economic Development Board Industry Alignment Fund (grant no. IAF311018). M.Y. is supported by the Singapore National Medical Research Council (NMRC) Research Fellowship (grant no. NMRC/Fellowship/0051/2017). B.S.C. is supported by the UK Medical Research Council/Department for International Development (grant no. MR/K006924/1). P.M. is supported by the Joint Programming Initiative on Antimicrobial Resistance (MODERN) (grant no. C-17-0014). A.H. is supported by Wellcome Trust (grant no. 212630/Z/18/Z). The Mahidol-Oxford Tropical Medicine Research Unit is part of the Wellcome-Trust Major Overseas Programme in Southeast Asia (grant no. 106698/Z/14/Z). Additional grant support was provided by the NMRC Clinician-Scientist Individual Research Grant (grant no. NMRC/CIRG/1463/2016 and NMRC/CIRG/1467/2017); the Singapore Ministry of Education Academic Research Fund Tier 2 grant, New Delhi Metallo-Beta-Lactamase, a global multi-centre, whole-genome study (grant no. MOE2015-T2-2-096); an NMRC collaborative grant, Collaborative Solutions Targeting Antimicrobial Resistance Threats in Health Systems (grant no. NMRC CGAug16C005); and an NMRC Clinician Scientist Award (grant no. NMRC/CSA-INV/0002/2016).
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TableCite This Article
Original Publication Date: July 27, 2020
1These authors contributed equally to this article.
Table of Contents – Volume 26, Number 9—September 2020
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Please use the form below to submit correspondence to the authors or contact them at the following address:
Mo Yin, National University Hospital, Division of Infectious Disease, 5 Lower Kent Ridge Rd, Singapore