Abstract
Objective:
Urinary catheterization, even of short duration, increases risk of subsequent urinary tract infection (UTI). Whether the bacteria found on the surface of catheters placed for <3 days are associated with UTI risk is unknown.
Methods:
We screened the biofilms found on the extraluminal surface of 127 catheters placed for <3 days from women undergoing elective gynecologic surgery, using targeted qPCR and an untargeted 16SrRNA taxonomic screen.
Results:
Using qPCR, Enterococcus spp. were found on virtually all catheters and lactic acid bacteria in most catheters regardless of duration, but neither genus was associated with UTI development during follow-up. Enterococcus, Streptococcus and Staphylococcus were the most commonly identified genera in the taxonomic screen but were not associated with subsequent UTI. Although the most common cause of UTI following catheter removal was E. coli, detectable E. coli on the catheter surface was not associated with subsequent UTI.
Conclusions:
Our analysis does not suggest that the composition of the bacteria growing on the catheter surface of catheters placed for <3 days are the reservoir for subsequent UTI. Other aspects of catheter care are likely more important than preventing bacterial colonization of the catheter surface for preventing UTI following short term catheter placement.
Introduction
Urinary catheterization is an essential component of many surgical procedures but increases risk of urinary tract infection (UTI). In the United States, as many as 79% of patients in adult critical care units have indwelling catheters(1); overall 23.6% of hospital patients are catheterized(2). Decreasing catheter duration significantly lowers UTI risk(3), but the risk is still substantial: as much as 38% in the 6 weeks following catheter removal among women undergoing short-term catheterization for elective gynecological surgery(4). Bacterial pathogens causing UTI during and following hospitalization are increasingly resistant to antibiotics, complicating treatment and increasing costs(5).
Presence of a urinary catheter enables movement of bacteria from the urethra into the bladder and the presence of a foreign body stimulates host immune response(6). Further, catheter insertion, removal or movement when in place can cause tissue trauma increasing risk of pathogen invasion(7). Using closed catheter systems, reducing catheter duration and minimizing catheter use decreases risk of UTI – both during catheterization and following removal(8). Improving catheter care and maintenance, antimicrobial stewardship and promoting team building and leadership engagement can further decrease catheter associated UTI (CAUTI)(9).
As catheter use cannot always be avoided, many investigators have focused on limiting biofilm growth on catheter surfaces, under the assumption that catheters are a reservoir for infection (10). Biofilm formation protects bacteria from flowing urine, host defenses, and antibiotics (11). A major gap in our current understanding is characterization of the biofilm found on the catheter surface, particularly those placed short-term. Bacterial culture of the material found on short-term catheters detects multiple bacterial species in significant numbers(12–14). However, whether these bacteria are associated with subsequent UTI is uncertain. Further, only three studies of urinary catheters to date have used untargeted non-culture techniques (15–17) but these focused on longer term catheterization.
Our study addresses these gaps by conducting an untargeted taxonomic screen (16SrRNA) and targeted qPCR for known catheter colonizers of 127 catheters placed for <3 days from women undergoing elective gynecologic surgery.
Methods
We screened the extraluminal surface of urinary catheters collected post-operatively from participants in a randomized, double-blinded, placebo-controlled trial of the therapeutic effect of cranberry juice capsules on preventing catheter-associated urinary tract infection post-catheterization supported by the National Institutes of Health (R21 DK085290)(4) (ClinicalTrials.gov ). All study participants from which a urinary catheter was obtained were eligible for this study regardless of treatment assignment. Briefly, non-pregnant women of at least 18 years of age without a history of nephrolithiasis, congenital urogenital anomaly or neurogenic bladder, or any known allergy to cranberry products were eligible. We excluded those whose surgery involved a fistula repair or a vaginal mesh removal and those who required therapeutic anticoagulant medicine during the six weeks post-surgery. Participants were followed for 8 weeks.
The participating medical units used two types of Foley catheters: Bardex All-Silicone Foley Catheter, 16 Fr./5cc ribbed balloon, Mfg. #: 165816 and Bard Foley Catheter, 16 Fr./5cc balloon, silicone coated, Mfg. #: 265716. Catheters were obtained from 130/160 (81%) of the women participating in the trial. For this analysis, we included only the 127 catheters that were in place <3 days, were collected properly, and whose sequencing results met quality standards (See section on Sequencing Processing & Oligotyping Analysis below). All women were UTI-free at time of catheter removal. The 127 participants included in this subset were not significantly different from the 33 not included with regards to age (mean: 56.8 vs. 53.5 p=0.22), lifetime history of UTI (64% vs. 55%, p=0.33), or number of participants who experienced UTI in the previous 12 months (23 vs. 24%; p=0.86) but were more likely to develop a UTI in the 6 weeks following surgery (31.5% vs. 15.2%, p=0.06), and their reason for surgery was more likely to be organ prolapse (70.9% vs. 51.5%, p=0.04). The Institutional Review Board at the University of Michigan approved the study protocol and reviewed adverse events and outcomes (HUM00041108).
Catheter collection and processing:
The catheter was marked where it exited the body and removed from the patient by the nursing staff post-surgery. The part outside of the body, including the drainage tube, was discarded. The remaining portion of the catheter was placed in a sterile cup and transported to the lab on ice.
Upon arrival in the lab, the balloon portion of the catheter was cut off and discarded. The catheter length was measured and recorded. The catheter was cut vertically, leaving a segment proximal and distal to the urethra. This study includes data from the extraluminal (outside) of the proximal segment (segment closest to the urethra). This segment was scrubbed thoroughly using a sterile polystyrene swab dipped in 1 mL 1X PBS. If necessary, the swab was dipped into the 1 mL aliquot of PBS multiple times to ensure that all biomass material was sufficiently collected on the swab. The swab in 1x PBS was pulse vortexed to transfer material on the swab into the liquid. The Roche Swab Extraction Tube System was used to dislodge any extra material fixed to the swab. Any extracted volume was combined with the lx PBS solution and frozen at −80C until analysis.
DNA Extraction & qPCR:
The frozen samples were slowly brought to room temperature and when thawed, homogenized by pulse vortexing. 100 uL of sample were pre-treated with an enzyme cocktail and transferred to a Qiagen QIAcube for DNA extraction using the protocol “DNeasy Blood & Tissue – Bacteria or Yeast – Enzymatic Lysis”, previously described. (18)
Selecting microbes for qPCR analysis:
Using qPCR, extracted DNA was tested for the presence of Enterococcus spp., Candida albicans, Staphylococcus aureus, a primer for lactic acid bacteria (LAB) which identifies Lactobacillus spp., Leuconostoc spp., Pediococcus spp., and Weisella spp. (19), and Escherichia coli. These microbes were selected because either they were common colonizers on urinary catheters (Enterococcus spp. (17,20), Candida spp. (21–23), and S. aureus(24)), the vaginal cavity (LAB), or known uropathogens (E. coli(25)). qPCR was run in a CFX96 Thermocycler (Bio-Rad, CA) and performed and analyzed according to published protocol(4,18). We used previously published primer sequences and PCR conditions: Enterococcus spp. (26); Lactic acid producing bacteria (LAB) (19); Escherichia coli and Candida albicans (27); Staphylococcus aureus (28).
Sequencing the V4 Region:
MiSeq sequencing using the Kozich and Schloss dual indexing method(29) was performed on the extracted DNA by the University of Michigan Microbial Systems Laboratories using Illumina MiSeq V2 chemistry 2x250 (Illumina, San Diego, CA). A mock community and negative (water) samples were included as controls.
Sequencing Processing & Oligotyping Analysis:
Raw sequence files were analyzed using the Mothur 1.38.0 pipeline through quality filtering(30). Sequences were aligned to Silva reference alignment and classified using Greengenes 13.8. Two samples did not pass quality-filtering steps. Samples averaged 19,175 reads (range 5,345 to 41,578). Sequences from the remaining 127 samples were clustered into oligotypes using unsupervised minimum entropy decomposition (31) and default parameters.
Microbiome Analysis and Dirichlet Multinomial Modeling
We used Dirichlet multinomial mixture models to classify bacterial communities into community types [using the Dirichlet Multinomial package in R (32)]. The optimal number of community types was determined using the lowest Laplace approximation of model fit. Each sample was assigned a maximum probability score and misclassification set as a maximum probability score of less than 80% or a 10% probability of being classified as another community type. No samples in this dataset met these criteria; therefore, every sample was successfully assigned a community type.
Statistical Analysis:
Duration of catheterization was categorized based on natural breaks in the variable distribution: those in place for less than 14 hours, those in place between 14 and 30 hours, and those in place for over 30 hours. However, as there were only 3 individuals where the catheter was in place for over 30 hours, and the associated microbial communities did not cluster by time, for most analyses we present results for duration dichotomized into <14 and 14 hours or more. Age was a categorized into less than 40 years, 40 to 69 years, and greater than or equal to 70 years of age. Smoking, estrogen use, vitamin C use, antibiotic use and UTI history within 12 months were dichotomized.
Alpha diversity was calculated using Shannon’s diversity index. Beta diversity was measured using Bray-Curtis distances. The Kruskal-Wallis (KW) non-parametric test was used for testing for significance in both alpha and beta diversity.
For continuous variables, ANOVA was used as a test of significance. Oligotypes were collapsed to assigned taxonomic names at the genera level before the following analyses. We compared the relative abundance of specific genera by age (categorized), catheter type, duration of catheterization (categorized), estrogen use, smoking, UTI history in the past 12 months and ever, and whether the participant subsequently developed a UTI using ALDEx2(33) which takes sample variation into account for analyzing differential abundance and corrects for multiple testing.
We fit a logistic regression model to predict UTI by presence of individual microbes detected using qPCR and catheter duration after adjusting for risk factors identified in the analysis of clinical trial. As the microbes detected using qPCR are included in the sequencing results, we fit a second model using the community state types. Analyses were performed using R 3.3.2 and SAS 9.5.
Results
Catheters were obtained from 127/160 (79.3%) of participants in a cranberry pill clinical trial (4). These participants averaged 57 years of age, and the majority were white (85% white, 4% black, 11% other). Slightly more catheters were obtained from participants assigned to placebo (67/80 (83.8%) than those assigned to cranberry (60/80 (75.0%)). In this trial, women assigned to cranberry were half as likely to have a UTI as those assigned placebo.
Treatment started at time of discharge (after catheters were removed). Catheters were generally removed at the end of the surgery or first thing in the morning the day following surgery: for categorical analysis we used natural breaks in the distribution (<14 hours (n=23), 14 to <30 hours (n=101), and ≥30 hours (n=3)). On average, catheters were in place for 23 hours.
We sequenced and screened using qPCR the DNA extracted from the extraluminal surface of the half of the catheter that was inside the body and proximal to the urethral opening. The mean length of the sequenced catheter segment was 2.61 cm (SD=1.10). Six of the catheters were silicone; the remainder were latex. Forty of the 127 participants whose catheters we tested developed UTI within 6 weeks after surgery (31.5%); 14 among participants assigned to cranberry. Results of urine culture at time of UTI identified E. coli as the leading cause of UTI (14/40), followed by Enterococcus (7/40), Enterobacter spp. (3/40), Klebsiella pneumoniae (2/40), Group B Streptococcus (2/40), and others including unidentified bacteria (12/40).
Using qPCR, we detected Enterococcus spp. (99%) in almost all catheters, and LAB (81%) and Escherichia coli (57%) in most (Table 1). However, the 73 women whose catheters had E. coli were no more likely to have a UTI caused by E. coli during follow-up (8/73 or 11%) than those whose catheters did not have E. coli (6/54 or 11%) (p=0.97). Candida albicans was detected less frequently (14%) and Staphylococcus aureus not at all. Sixty-one catheters had Enterococcus spp., LAB and Escherichia coli; seven of these had Candida albicans. LAB were detected more frequently in catheters from women using estrogens (96% vs 77%; p<0.05) and/or Vitamin C (89% vs 72%; p<0.05). By contrast there was no Candida albicans detected in catheters from women using estrogens (0% vs 17.3%; p<0.05). E. coli was found in the catheters of all 10 women who smoked compared to 54% of catheters from nonsmokers (p<0.05). There was no association between prevalence of detected species and UTI history (p=0.97) or development of UTI within the 6 weeks following enrollment (p=0.80).
Table 1:
Prevalence of selected bacteria found on urinary catheters, and diversity of catheter microbial communities by development of UTI during 60 days of follow-up. 127 urinary catheters placed for <3 days collected from women undergoing elective gynecologic surgery 2011 – 2013.
| All N=127 N (%) |
No UTI N=87 N(%) |
UTI N=40 N(%) |
p value | |
|---|---|---|---|---|
| Enterococcus: Positive | 126 (99.2%) | 86 (98.9%) | 40 (100%) | 1.00 |
| Lactic Acid Bacteria (LAB): Positive | 103 (81.1%) | 68 (78.2%) | 35 (87.5%) | 0.32 |
| E. coli: Positive | 73 (57.5%) | 49 (56.3%) | 24 (60.0%) | 0.84 |
| C. albicans: Positive | 18 (14.2%) | 14 (16.1%) | 4 (10.0%) | 0.52 |
| Shannon Index Tertiles: | 0.42 | |||
| Tertile 1 (<=1.95) | 43 (33.9%) | 28 (32.2%) | 15 (37.5%) | |
| Tertile 2 (>1.05, <=2.47) | 42 (33.1%) | 32 (36.8%) | 10 (25.0%) | |
| Tertile 3 (>2.47, <=3.72) | 42 (33.1%) | 27 (31.0%) | 15 (37.5%) | |
| Chao Index Tertiles: | 0.95 | |||
| Tertile 1 (<=59.3) | 43 (33.9%) | 30 (34.5%) | 13 (32.5%) | |
| Tertile 2 (>59.3, <=75.1) | 42 (33.1%) | 28 (32.2%) | 14 (35.0%) | |
| Tertile 3 (>75.1, <=131) | 42 (33.1%) | 29 (33.3%) | 13 (32.5%) | |
| Community State Types (CST): | 1.00 | |||
| CST 1 | 70 (55.1%) | 48 (55.2%) | 22 (55.0%) | |
| CST 2 | 38 (29.9%) | 26 (29.9%) | 12 (30.0%) | |
| CST 3 | 19 (15.0%) | 13 (14.9%) | 6 (15.0%) | |
| Treatment: | 0.09 | |||
| Placebo | 67 (52.8%) | 41 (47.1%) | 26 (65.0%) | |
| Cranberry | 60 (47.2%) | 46 (52.9%) | 14 (35.0%) | |
| Self-Catheterization: | <0.001 | |||
| No | 70 (55.1%) | 61 (70.1%) | 9 (22.5%) | |
| Yes | 57 (44.9%) | 26 (29.9%) | 31 (77.5%) | |
| Catheter Type: | 0.40 | |||
| Silicone | 103 (81.1%) | 73 (83.9%) | 30 (75.0%) | |
| Latex | 6 (4.72%) | 3 (3.45%) | 3 (7.50%) | |
| ‘Missing’ | 18 (14.2%) | 11 (12.6%) | 7 (17.5%) | |
| Duration of Catheterization | 0.08 | |||
| < 14 Hours | 23 (18.1%) | 20 (23.0%) | 3 (7.50%) | |
| ≥ 14 hours, ≤30 hours | 101 (79.5%) | 65 (74.7%) | 36 (90.0%) | |
| >30 hours | 3 (2.36%) | 2 (2.30%) | 1 (2.50%) | |
| Age Category: | 0.77 | |||
| <40 | 12 (9.45%) | 9 (10.3%) | 3 (7.50%) | |
| 40 to 69 | 92 (72.4%) | 61 (70.1%) | 31 (77.5%) | |
| >70 | 23 (18.1%) | 17 (19.5%) | 6 (15.0%) | |
| Antibiotics: | 0.57 | |||
| Yes | 98 (77.2%) | 68 (78.2%) | 30 (75.0%) | |
| ‘Missing’ | 15 (11.8%) | 11 (12.6%) | 4 (10.0%) | |
| Estrogen Use: | 0.56 | |||
| Yes | 99 (78.0%) | 70 (80.5%) | 29 (72.5%) | |
| ‘Missing’ | 1 (0.79%) | 1 (1.15%) | 0 (0.00%) | |
| Smoker: | 0.51 | |||
| Yes | 10 (7.87%) | 7 (8.05%) | 3 (7.50%) | |
| ‘Missing’ | 1 (0.79%) | 0 (0.00%) | 1 (2.50%) | |
| UTI in the past 12 months: | 1.00 | |||
| Yes | 29 (22.8%) | 20 (23.0%) | 9 (22.5%) | |
| Vitamin C use: | 0.39 | |||
| Yes | 60 (47.2%) | 42 (48.3%) | 18 (45.0%) | |
| ‘Missing’ | 1 (0.79%) | 0 (0.00%) | 1 (2.50%) | |
| Indwelling catheter* | 0.21 | |||
| No | 120 (94.5%) | 84 (96.6%) | 36 (90.0%) | |
| Yes | 7 (5.51%) | 3 (3.45%) | 4 (10.0%) |
Seven women failed their voiding trial, and a new catheter was inserted at time of discharge.
Sequencing Results:
Analysis of the 16S rRNA from catheter material found no differences in the alpha diversity by whether the participant subsequently developed a UTI. Alpha diversity varied only slightly by duration of catheter placement: the average Shannon diversity among those catheterized for <14, 14 to 29, or 30 or more hours was similar (<14 hours average = 2.34, >=14 but <=30 average=2.20, >30 average=2.36, KW=1.46, p=0.48), but the beta diversity decreased with duration: at <14, average within category Bray Curtis distance was 0.85, at >=14 and <=30 the average within category Bray Curtis distance was 0.83 (KW =8.11, p=0.004). At >30 hours, the average within category Bray Curtis distance was 0.91, however, only 3 catheters were in place for >30 hours, and this was not statistically significantly different. Clustering of microbial communities using Dirichlet Multinomial Modeling identified three community state types. There was no association between community state type and UTI development or duration of catheterization.
When the communities of each catheter were clustered using Euclidean distance in a heat map, there were no apparent associations with duration of catheterization, developing a UTI during follow-up or community state type (Figure 1). Principle components also showed no clear differences in catheter community structure by age (dichotomized), catheter type, duration of catheterization (categorized), estrogen use, smoking, UTI history in the past 12 months and ever, and whether the participant subsequently developed a UTI (data not shown).
Figure 1:
Heat map of observed bacterial taxa in each catheter clustered by Euclidean distance, indicating catheter duration, whether the participant developed a urinary tract infection during the 6 weeks of follow-up, and community state type (CST). 127 urinary catheters placed for <3 days collected from women undergoing elective gynecologic surgery 2011 – 2013.
We used ALDEx2 to compare the relative abundance of genera detected by selected demographic and medical history variables. ALDEx2 accounts for the compositional data structure and corrects for multiple comparison (there were 159 genera tested). Only those with a corrected p value less than or equal to 0.1 are noted here. Consistent with our graphical analysis, duration of catheterization was positively associated with increased relative abundance of Enterococcus (p=0.005). No genera were associated at an alpha of 0.2 with subsequently developing a UTI.
After adjustment for duration of catheter placement, treatment assignment, intermittent catheterization (variable transformed using the natural log as highly skewed) and presence of an indwelling catheter in a logistic regression model, neither presence of individual microbes on the catheter surface detected using qPCR nor the structure of the catheter bacterial community (community state type) were associated with subsequent development of UTI (Table 2).
Table 2:
Logistic models predicting UTI within 8 weeks post-procedure by duration of catheterization; presence or microbes detected from qPCR or Community State Types (CST) of catheter microbes, treatment with cranberry pills, and log-transform of self-catheterization count as independent variables. 127 urinary catheters placed for <3 days collected from women undergoing elective gynecologic surgery 2011 – 2013.
| Unadjusted OR (95%CI) |
Including microbes detected using qPCR Adjusted OR (95% CI) |
p-value (Walds t-test) |
Including CSTs Adjusted OR (95% CI) |
p-value (Walds t-test) |
|
|---|---|---|---|---|---|
| Catheter Duration (<14 hours) | 1.0 (Reference) | 1.0 (Reference) | |||
| ≥ 14 hours, ≤ 30 hours | 3.69 (1.03,13.28) | 2.28 (0.51,10.17) | 0.28 | 2.19 (0.52,9.27) | 0.29 |
| Greater than 30 hours | 3.33 (0.23,49.09) | 2.57 (0.1,65.99) | 0.57 | 3.5 (0.17,71.75) | 0.43 |
| E. coli: Positive | 1.16 (0.54,2.49) | 0.61 (0.24,1.57) | 0.31 | -- | -- |
| Lactic Acid Bacteria: Positive | 1.96 (0.67,5.68) | 2.92 (0.79,10.74) | 0.11 | -- | -- |
| Enterococcus: Positive | 2678052.48 (0,Inf) | 7329278.77 (0,Inf) | 0.99 | -- | -- |
| C. albicans: Positive | 0.58 (0.18,1.89) | 0.81 (0.21,3.15) | 0.76 | -- | -- |
| Community State Types (Reference CST 1) | -- | -- | |||
| CST 2 | 1.01 (0.43,2.36) | -- | -- | 0.89 (0.31,2.51) | 0.82 |
| CST 3 | 1.01 (0.34,3.00) | -- | -- | 0.52 (0.14,1.89) | 0.32 |
| Treatment (Cranberry vs placebo) | 0.48 (0.22,1.04) | 0.61 (0.24,1.53) | 0.29 | 0.56(0.23,1.37) | 0.22 |
| Log frequency self-catheterization* | 1.91 (1.44,2.54) | 1.99 (1.46,2.73) | <0.001 | 2.00 (1.46,2.73) | <0.001 |
| Indwelling catheter | 3.11 (1066,14.61) | 10.45 (1.38,78.84) | 0.023 | 4.43 (0.82,23.91) | 0.083 |
Transformed using the natural log because variable was highly skewed.
Discussion
We characterized the extraluminal microbial communities found on 127 urinary catheters placed for less than 3 days in women undergoing elective gynecological surgery using targeted qPCR and an untargeted taxonomic screen of the 16SrRNA. Bacteria were detected on all catheters – including species known to cause UTI, but neither the presence of specific species nor the overall composition of the catheter bacterial community was associated with UTI risk. Although the most common cause of UTI following catheter removal was E. coli, women whose catheter had detectable E. coli on the surface were no more likely to have a UTI during follow-up than those whose catheters had no E. coli.
The prevalence of selected species and genera found in this study are consistent with our understanding of the sources of catheter bacteria. The catheter is inoculated during insertion by bacteria colonizing the urethra; bacteria colonizing the urethral opening colonize the catheter exterior and ascend. Bacteria already present in the urinary microbiome also may colonize the catheter surface. LAB, Streptococcus, Staphylococcus and Enterococcus are common inhabitants of the urinary microbiome [Reviewed in Aragón, et al.(34)]. Further, E. faecalis is known to adhere to urinary catheters and form biofilms [Reviewed in Kline and Lewis(35)], and Enterococcus cause 15% to 30% of all catheter-associated UTIs (here, 18% of the UTI were caused by Enterococcus). Estrogen use is known to enrich the vaginal cavity for LAB leading to a decrease in prevalence of C. albicans (36), however hormonal replacement therapy among post-menopausal women is associated with an increased risk of vaginal yeast infections(37). While E. coli was the cause of most UTI in the 6 weeks following catheter removal (14/40 (35%)), there was no association with qPCR detection of E. coli on the catheter surface and subsequent development of UTI.
The biofilm growing on the surface of a catheter has been previously considered a reservoir for UTI (10). At least for catheters placed for <3 day, this does not seem to be the case: we found no evidence that the composition of the bacteria growing on the catheter surface of catheters was associated with subsequent UTI. Other aspects of catheter care, such as proper aseptic technique(38) are likely more important than preventing bacterial colonization of the catheter surface for preventing UTI following short term catheter placement (39).
Highlights.
We characterized the extraluminal microbial communities found on 127 urinary catheters placed for <3 days in women undergoing elective gynecological surgery
Enterococcus, Streptococcus and Staphylococcus were the most commonly identified genera in the taxonomic screen but were not associated with UTI during follow-up
There was no association between detection of E. coli on the catheter surface using qPCR and subsequent development of UTI
Acknowledgements:
The authors thank Usha Srinivasan for her contributions to the initial design of the study, and supervision of the laboratory. This work was supported by the National Institutes of Health (R21-DK-085290).
Footnotes
Publisher's Disclaimer: This is a PDF file of an unedited manuscript that has been accepted for publication. As a service to our customers we are providing this early version of the manuscript. The manuscript will undergo copyediting, typesetting, and review of the resulting proof before it is published in its final form. Please note that during the production process errors may be discovered which could affect the content, and all legal disclaimers that apply to the journal pertain.
Bibliography
- 1.Magill SS, Edwards JR, Bamberg W, Beldavs ZG, Dumyati G, Kainer MA, et al. Multistate Point-Prevalence Survey of Health Care–Associated Infections. N Engl J Med [Internet]. 2014. March 27 [cited 2018 Nov 21];370(13): 1198–208. Available from: http://www.ncbi.nlm.nih.gov/pubmed/24670166 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 2.Dudeck MA, Horan TC, Peterson KD, Allen-Bridson K, Morrell G, Anttila A, et al. National Healthcare Safety Network (NHSN) Report, Data Summary for 2011, Device-associated Module [Internet]. [cited 2018 Nov 26]. Available from: https://www.cdc.gov/nhsn/PDFs/dataStat/NHSN-Report-2011-Data-Summary.pdf
- 3.Kamilya G, Seal SL, Mukherji J, Bhattacharyya SK, Hazra A. A randomized controlled trial comparing short versus long-term catheterization after uncomplicated vaginal prolapse surgery. J Obstet Gynaecol Res [Internet]. 2010. February [cited 2018 Nov 15];36(1): 154–8. Available from: http://doi.wiley.com/10.1111/j.1447-0756.2009.01096.x [DOI] [PubMed] [Google Scholar]
- 4.Foxman B, Cronenwett AEW, Spino C, Berger MB, Morgan DM. Cranberry juice capsules and urinary tract infection after surgery: results of a randomized trial. Am J Obstet Gynecol [Internet]. 2015. August [cited 2018 Nov 15];213(2):194.e1–8. Available from: https://linkinghub.elsevier.com/retrieve/pii/S0002937815003555 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 5.Milan PB, Ivan IM. Catheter-associated and nosocomial urinary tract infections: antibiotic resistance and influence on commonly used antimicrobial therapy. Int Urol Nephrol [Internet]. 2009. September 12 [cited 2018 Nov 15];41(3):461–4. Available from: http://www.ncbi.nlm.nih.gov/pubmed/18787972 [DOI] [PubMed] [Google Scholar]
- 6.Nicolle LE. Urinary catheter-associated infections. Infect Dis Clin North Am [Internet]. 2012. March [cited 2018 Nov 15];26(1): 13–27. Available from: http://linkinghub.elsevier.com/retrieve/pii/S0891552011000845 [DOI] [PubMed] [Google Scholar]
- 7.Leuck A-M, Wright D, Ellingson L, Kraemer L, Kuskowski MA, Johnson JR. Complications of Foley Catheters—Is Infection the Greatest Risk? J Urol [Internet]. 2012. May [cited 2018 Nov 15]; 187(5): 1662–6. Available from: http://linkinghub.elsevier.com/retrieve/pii/S0022534711060629 [DOI] [PubMed] [Google Scholar]
- 8.King C, Garcia Alvarez L, Holmes A, Moore L, Galletly T, Aylin P. Risk factors for healthcare-associated urinary tract infection and their applications in surveillance using hospital administrative data: a systematic review. J Hosp Infect [Internet]. 2012. December [cited 2018 Nov 15];82(4):219–26. Available from: http://linkinghub.elsevier.com/retrieve/pii/S0195670112001478 [DOI] [PubMed] [Google Scholar]
- 9.Mody L, Greene MT, Meddings J, Krein SL, McNamara SE, Trautner BW, et al. A National Implementation Project to Prevent Catheter-Associated Urinary Tract Infection in Nursing Home Residents. JAMA Intern Med [Internet]. 2017. August 1 [cited 2018 Nov 15];177(8):1154 Available from: http://www.ncbi.nlm.nih.gov/pubmed/28525923 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 10.Trautner BW, Darouiche RO. Role of biofilm in catheter-associated urinary tract infection. Am J Infect Control [Internet]. 2004. May [cited 2018 Nov 15];32(3): 177–83. Available from: http://linkinghub.elsevier.com/retrieve/pii/S0196655303007995 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 11.Warren JW. Catheter-associated urinary tract infections. Int J Antimicrob Agents [Internet]. 2001. April [cited 2018 Nov 15];17(4):299–303. Available from: http://www.nebi.nlm.nih.gov/pubmed/11295412 [DOI] [PubMed] [Google Scholar]
- 12.Holá V, Ruzicka F, Horka M. Microbial diversity in biofilm infections of the urinary tract with the use of sonication techniques. FEMS Immunol Med Microbiol [Internet]. 2010. August [cited 2018 Nov 15];59(3): 525–8. Available from: https://academic.oup.com/femspd/article-lookup/doi/10.1111/j.1574-695X.2010.00703.x [DOI] [PubMed] [Google Scholar]
- 13.Barford JMT, Anson K, Hu Y, Coates ARM. A model of catheter-associated urinary tract infection initiated by bacterial contamination of the catheter tip. BJU Int [Internet]. 2008. July [cited 2018 Nov 15];102(1):67–74. Available from: http://doi.wiley.com/10.1111/j.1464-410X.2008.07465.x [DOI] [PubMed] [Google Scholar]
- 14.Matsukawa M, Kunishima Y, Takahashi S, Takeyama K, Tsukamoto T. Bacterial colonization on intraluminal surface of urethral catheter. Urology [Internet]. 2005. March [cited 2018 Nov 26];65(3):440–4. Available from: http://www.ncbi.nlm.nih.gov/pubmed/15780351 [DOI] [PubMed] [Google Scholar]
- 15.Xu Y, Moser C, Al-Soud WA, Sorensen S, Hoiby N, Nielsen PH, et al. Culture-dependent and -independent investigations of microbial diversity on urinary catheters. J Clin Microbiol [Internet]. 2012. December 1 [cited 2018 Nov 15];50(12):3901–8. Available from: http://jcm.asm.org/egi/doi/10.1128/JCM.01237-12 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 16.Foxman B, Wu J, Farrer EC, Goldberg DE, Younger JG, Xi C. Early development of bacterial community diversity in emergently placed urinary catheters. BMC Res Notes [Internet]. 2012. June 27 [cited 2018 Nov 15];5(1):332 Available from: http://bmcresnotes.biomedcentral.com/articles/10.1186/1756-0500-5-332 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 17.Frank DN, Wilson SS, St Amand AL, Pace NR. Culture-independent microbiological analysis of foley urinary catheter biofilms. Ratner AJ, editor. PLoS One [Internet]. 2009. November 12 [cited 2018Nov 15];4(11):e7811 Available from: http://dx.plos.org/10.1371/journal.pone.0007811 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 18.Srinivasan U, Ponnaluri S, Villareal L, Gillespie B, Wen A, Miles A, et al. Gram stains: a resource for retrospective analysis of bacterial pathogens in clinical studies. Schlievert PM, editor. PLoS One [Internet]. 2012. October 11 [cited 2018 Nov 21];7(10):e42898 Available from: https://dx.plos.org/10.1371/journal.pone.0042898 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 19.Walter J, Hertel C, Tannock GW, Lis CM, Munro K, Hammes WP. Detection of Lactobacillus, Pediococcus, Leuconostoc, and Weissella Species in Human Feces by Using Group-Specific PCR Primers and Denaturing Gradient Gel Electrophoresis. Appl Environ Microbiol [Internet]. 2001. June 1 [cited 2018 Nov 15];67(6):2578–85. Available from: http://www.nebi.nlm.nih.gov/pubmed/11375166 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 20.Stickler DJ. Bacterial biofilms in patients with indwelling urinary catheters. Nat Clin Pract Urol [Internet]. 2008. November 14 [cited 2018 Nov 15];5(11):598–608. Available from: http://www.nature.com/articles/ncpuro1231 [DOI] [PubMed] [Google Scholar]
- 21.Chenoweth CE, Saint S. Urinary tract infections. Infect Dis Clin North Am [Internet]. 2011. March [cited 2018 Nov 15];25(1):103–15. Available from: http://linkinghub.elsevier.com/retrieve/pii/S0891552010000929 [DOI] [PubMed] [Google Scholar]
- 22.Harriott MM, Lilly EA, Rodriguez TE, Fidel PL, Noverr MC. Candida albicans forms biofilms on the vaginal mucosa. Microbiology [Internet]. 2010. December 1 [cited 2018 Nov 15];156(Pt 12):3635–44. Available from: http://www.microbiologyresearch.Org/content/journal/micro/10.1099/mic.0.039354-0 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 23.Shirtliff ME, Peters BM, Jabra-Rizk MA. Cross-kingdom interactions: Candida albicans and bacteria. FEMS Microbiol Lett [Internet]. 2009. October [cited 2018 Nov 15];299(1): 1–8. Available from: https://academic.oup.com/femsle/article-lookup/doi/10.1111/j.1574-6968.2009.01668.x [DOI] [PMC free article] [PubMed] [Google Scholar]
- 24.Harriott MM, Noverr MC. Candida albicans and Staphylococcus aureus form polymicrobial biofilms: effects on antimicrobial resistance. Antimicrob Agents Chemother [Internet]. 2009. September 1 [cited 2018 Nov 15];53(9):3914–22. Available from: http://aac.asm.org/cgi/doi/10.1128/AAC.00657-09 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 25.Saint S, Chenoweth CE. Biofilms and catheter-associated urinary tract infections. Infect Dis Clin North Am [Internet]. 2003. June [cited 2018 Nov 15]; 17(2):411–32. Available from: http://www.ncbi.nlm.nih.gov/pubmed/12848477 [DOI] [PubMed] [Google Scholar]
- 26.Rinttilä T, Kassinen A, Malinen E, Krogius L, Palva A. Development of an extensive set of 16S rDNA-targeted primers for quantification of pathogenic and indigenous bacteria in faecal samples by real-time PCR. J Appl Microbiol [Internet]. 2004. December [cited 2018 Nov 15];97(6): 1166–77. Available from: http://doi.wiley.com/10.1111/j.1365-2672.2004.02409.x [DOI] [PubMed] [Google Scholar]
- 27.Wen A, Srinivasan U, Goldberg D, Owen J, Marrs CF, Misra D, et al. Selected Vaginal Bacteria and Risk of Preterm Birth: An Ecological Perspective. J Infect Dis [Internet]. 2014. April 1 [cited 2018 Nov 15];209(7): 1087–94. Available from: http://www.ncbi.nlm.nih.gov/pubmed/24273044 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 28.Louie L, Goodfellow J, Mathieu P, Glatt A, Louie M, Simor AE. Rapid detection of methicillin-resistant staphylococci from blood culture bottles by using a multiplex PCR assay. J Clin Microbiol [Internet]. 2002. August [cited 2018 Nov 15];40(8):2786–90. Available from: http://www.ncbi.nlm.nih.gov/pubmed/12149330 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 29.Kozich JJ, Westcott SL, Baxter NT, Highlander SK, Schloss PD. Development of a dual-index sequencing strategy and curation pipeline for analyzing amplicon sequence data on the MiSeq Illumina sequencing platform. Appl Environ Microbiol [Internet]. 2013. September 1 [cited 2018 Nov 21];79(17):5112–20. Available from: http://aem.asm.org/lookup/doi/10.1128/AEM.01043-13 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 30.Schloss PD. A High-Throughput DNA Sequence Aligner for Microbial Ecology Studies. Quackenbush J, editor. PLoS One [Internet]. 2009. December 14 [cited 2018 Nov 21];4(12):e8230 Available from: http://www.ncbi.nlm.nih.gov/pubmed/20011594 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 31.Eren AM, Borisy GG, Huse SM, Mark Welch JL. Oligotyping analysis of the human oral microbiome. Proc Natl Acad Sci USA [Internet]. 2014. July 15 [cited 2018 Nov 15]; 111(28):E2875–84. Available from: http://www.pnas.org/cgi/doi/10.1073/pnas.1409644111 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 32.Holmes I, Harris K, Quince C. Dirichlet Multinomial Mixtures: Generative Models for Microbial Metagenomics. Gilbert JA, editor. PLoS One [Internet]. 2012. February 3 [cited 2019 Aug 1];7(2):e30126 Available from: https://dx.plos.org/10.1371/journal.pone.0030126 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 33.Fernandes AD, Macklaim JM, Linn TG, Reid G, Gloor GB. ANOVA-like differential expression (ALDEx) analysis for mixed population RNA-Seq. Parkinson J, editor. PLoS One [Internet]. 2013. July 2 [cited 2018 Nov 15];8(7):e67019 Available from: https://dx.plos.org/10.1371/journal.pone.0067019 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 34.Aragón IM, Herrera-Imbroda B, Queipo-Ortuño MI, Castillo E, Del Moral JS-G, Gómez-Millán J, et al. The Urinary Tract Microbiome in Health and Disease. Eur Urol Focus [Internet]. 2018. January [cited 2018 Nov 15];4(1): 128–38. Available from: https://linkinghub.elsevier.com/retrieve/pii/S2405456916301596 [DOI] [PubMed] [Google Scholar]
- 35.Kline KA, Lewis AL. Gram-Positive Uropathogens, Polymicrobial Urinary Tract Infection, and the Emerging Microbiota of the Urinary Tract. Microbiol Spectr [Internet]. 2016. April 1 [cited 2018 Nov 15];4(2). Available from: http://www.asmscience.org/content/journal/microbiolspec/10.1128/microbiolspec.UTI-0012-2012 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 36.Amabebe E, Anumba DOC. The Vaginal Microenvironment: The Physiologic Role of Lactobacilli. Front Med [Internet]. 2018. June 13 [cited 2018 Nov 15];5:181 Available from: https://www.frontiersin.org/article/10.3389/fmed.2018.00181/full [DOI] [PMC free article] [PubMed] [Google Scholar]
- 37.Fischer G, Bradford J. Vulvovaginal candidiasis in postmenopausal women: the role of hormone replacement therapy. J Low Genit Tract Dis [Internet]. 2011. October [cited 2018 Nov 15];15(4):263–7. Available from: https://insights.ovid.com/crossref?an=0128360-201110000-00003 [DOI] [PubMed] [Google Scholar]
- 38.Saint S, Greene MT, Krein SL, Rogers MAM, Ratz D, Fowler KE, et al. A Program to Prevent Catheter-Associated Urinary Tract Infection in Acute Care. N Engl J Med [Internet]. 2016. June 2 [cited 2018Nov 15] ;374(22):2111–9. Available from: http://www.nejm.org/doi/10.1056/NEJMoa1504906 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 39.Singh R, Hokenstad ED, Wiest SR, Kim-Fine S, Weaver AL, McGree ME, et al. Randomized controlled trial of silver-alloy-impregnated suprapubic catheters versus standard suprapubic catheters in assessing urinary tract infection rates in urogynecology patients. Int Urogynecol J [Internet]. 2018. August 25 [cited 2018 Nov 15]; Available from: http://link.springer.com/10.1007/s00192-018-3726-z [DOI] [PubMed] [Google Scholar]

