Literature DB >> 29863458

Detection of toxigenic Clostridium difficile colonization in patients admitted to the hospital for chemotherapy or haematopoietic cell transplantation.

John L Vaughn1, Joan-Miquel Balada-Llasat2, Misty Lamprecht3, Ying Huang1, Mirela Anghelina3, Zeinab El Boghdadly4, Karen Bishop-Hill4, Rachel Childs5, Preeti Pancholi2, Leslie A Andritsos1.   

Abstract

Increasing evidence suggests that asymptomatic carriers are an important source of healthcare-associated Clostridium difficile infection. However, it is not known which test for the detection of C. difficile colonization is most sensitive in patients with haematological malignancies. We performed a prospective cohort study of 101 patients with haematological malignancies who had been admitted to the hospital for scheduled chemotherapy or haematopoietic cell transplantation. Each patient provided a formed stool sample. We compared the performance of five different commercially available assays, using toxigenic culture as the reference method. The prevalence of toxigenic C. difficile colonization as determined by toxigenic culture was 14/101 (14 %). The Cepheid Xpert PCR C. difficile/Epi was the most sensitive test for the detection of toxigenic C. difficile colonization, with 93 % sensitivity and 99 % negative predictive value. Our findings suggest that the Xpert PCR C. difficile/Epi could be used to rule out toxigenic C. difficile colonization in this population.

Entities:  

Keywords:  Clostridium difficile; chemotherapy; colonization; haematopoietic cell transplantation

Mesh:

Year:  2018        PMID: 29863458      PMCID: PMC6152365          DOI: 10.1099/jmm.0.000774

Source DB:  PubMed          Journal:  J Med Microbiol        ISSN: 0022-2615            Impact factor:   2.472


Full-Text

Clostridium difficile is an important cause of infectious diarrhoea in patients with haematological malignancies who are admitted to the hospital for chemotherapy or haematopoietic cell transplantation (HCT) [1, 2]. These patients are at increased risk of developing C. difficile infection (CDI) compared to non-oncology patients, and they are more likely to suffer adverse outcomes from the infection [2, 3]. A study from one transplant centre identified HCT patients as having a ninefold higher rate of CDI than non-oncology patients at the same institution, and a 1.4× greater rate than other oncology patients [2]. Due to the profound and often prolonged duration of immunosuppression experienced by patients with haematological malignancies, the risk for the development of complications associated with CDI is high [3, 4]. For example, the development of CDI in patients who have undergone allogeneic HCT has been associated with increased risk of graft-versus-host disease and non-relapse mortality [1, 3]. Asymptomatic colonization of patients with C. difficile is known to precede infection [5-8]. However, the most sensitive method for detecting toxigenic C. difficile colonization in formed stool is unknown. A variety of tests are available for the detection of toxigenic C. difficile in diarrhoeal samples [9, 10]. Tests targeting C. difficile toxins are commonly used. However, changes in the temperature and chemical composition of the faeces may affect toxin stability, potentially yielding false-negative test results [10]. Tests detecting the enzyme glutamate dehydrogenase (GDH) are also available but have low specificity, since GDH is highly conserved in all isolates of C. difficile, including non-toxigenic strains [10]. Nucleic acid amplification tests (NAATs) that detect the presence of C. difficile gene targets such as tcdA, tcdB and 16S ribosomal RNA are available and have high sensitivity [10]. There are two widely used reference methods for the detection of toxigenic C. difficile: toxigenic culture (TC) and cell cytotoxicity assay (CCTA) [9-11]. Although both methods are widely used, they detect different targets: the CCTA detects the presence of C. difficile toxins, and TC detects the presence of C. difficile with the potential to produce toxin [11]. Hence, the poor performance of a test for the detection of toxigenic C. difficile may be due to the reference method used and not the performance of the test itself [11]. The turnaround time for TC is approximately 3 days, which limits its use in routine clinical practice [9]. No tests are approved by the United States Food and Drug Administration (FDA) for testing on formed stool. We performed a prospective cohort study of patients with haematological malignancies admitted for scheduled chemotherapy or HCT at our institution. Patients were included if they were aged 18 years or older and scheduled for elective admission for chemotherapy or HCT (including both autologous and allogeneic HCT). Patients were excluded if they had experienced diarrhoea due to CDI in the past 30 days; if they had experienced diarrhoea of unknown aetiology; if they were admitted on an unscheduled basis for the treatment of acute illness; or if their anticipated length of stay was less than 72 h. At the time of hospital admission for scheduled chemotherapy or HCT, a formed stool specimen was collected from each patient in a sterile collection vial. All samples were freshly collected and sent to the microbiology laboratory for testing. The stool samples were tested with six different methods: Simplexa C. difficile PCR Universal Direct kit (Diasorin, Saluggia, Italy), Xpert PCR C. difficile/Epi (Cepheid, Sunnyvale, CA, USA), C. diff Quik Chek Complete GDH (Alere, Waltham, MA, USA), C. diff Quik Chek Complete Toxin A/B (Alere, Waltham, MA, USA), LEUKO EZ VUE ELISA test (Alere, Waltham, MA, USA) and TC. The Simplexa C. difficile PCR Universal Direct kit is a real-time polymerase chain reaction (PCR) assay for the in vitro qualitative direct detection of the toxin B gene (tcdB) of C. difficile. The Xpert C. difficile/Epi PCR assay is a multiplex real-time PCR that detects tcdB, the binary toxin gene (cdt) and the tcdC gene deletion at nt 117. The C. diff Quik Chek Complete includes tests for both GDH antigen and C. difficile toxins A and B in faecal specimens. The LEUKO EZ VUE ELISA test is a rapid lateral flow cassette test that is used to detect elevated levels of lactoferrin, a marker of faecal leukocytes. Although the LEUKO EZ VUE ELISA test does not detect toxigenic C. difficile, we included the test to determine whether elevated levels of lactoferrin also occur in patients with toxigenic C. difficile colonization. TC was performed by plating stool specimens onto prereduced cycloserine/cefoxitin/fructose agar media (CCFA-VA formulation, Remel, Lenexa, KS, USA) with alcohol shock pretreatment [12]. Plates were incubated anaerobically using the anaerobe chamber (Bactron IV, Sheldon Manufacturing, Cornelius, OR, USA) at 35 °C for up to 5 days before a final interpretation of a negative result. C. difficile was identified by matrix-assisted laser desorption/ionization-time of flight (MALDI-TOF) mass spectrometry. After the C. difficile colonies were identified, the isolates were grown for 24 h in anaerobic Brucella broth (Remel), and the supernatant was passed through a 0.22 µm filter (Spin-X centrifuge tube filter; Millipore, Billerica, MA, USA). We added 50 µl of filtrate to skin fibroblast cells (96-well microtitre plate, Diagnostics Hybrids, Athens, OH, USA), which were then incubated for 48 h at 37 °C, 5 % CO2. In order to control for nonspecific toxicity, a second well was inoculated with both the supernatant and 50 µl of C. difficile goat antitoxin (TECHLAB, Blacksburg, VA, USA). The cells were incubated at 37 °C and checked for cytopathic effect (CPE) at 6, 22, 30 and 48 h. A positive result was defined as the presence of CPE in at least 50 % of the cell monolayer and no CPE in the tube inoculated with the antitoxin. Patients’ demographic and baseline clinical characteristics were described using summary statistics. Fisher’s exact test was used to compare categorical variables between those who tested positive and those who tested negative by TC, and the Wilcoxon rank sum test was used for continuous variables. Since only 14 cases of positive C. difficile colonization were detected through TC, univariable logistic regression analysis was used to identify risk factors for C. difficile colonization in an exploratory manner. Sensitivity and specificity with 95 % binomial exact confidence interval (CI) for five tests were estimated. A total of 114 patients were recruited for participation between 1 April 2016 and 30 November 2016. Thirteen patients either withdrew consent or did not provide a stool sample, so the final analysis included 101 stool samples. The median age of the study cohort was 60 (range, 19–84) years. As shown in Table 1, the most common disease type was lymphoma (n=48, 48 %) followed by multiple myeloma (n=24, 24 %), leukaemia (22 %), MDS (n=5, 5 %), AL amyloidosis (n=1, 1 %) and aplastic anemia (n=1, 1 %). The most common reason for admission was scheduled chemotherapy (n=49, 49 %), followed by autologous HCT (n=34, 34 %) and allogeneic HCT (n=18,18 %). The median (range) length of hospital stay was 13 (2–57) days.
Table 1.

Characteristics of patients with haematological malignancies admitted to the hospital for chemotherapy or HCT

CharacteristicOverall (n=101)Toxigenic culture positive (n=87)Toxigenic culture negative (n=14)P-value
Age [median (range)], years60 (19–84)59 (19–84)60.5 (29–81)0.42
Sex0.57
 Female48 (48)40 (46)8 (57)
 Male53 (52)47 (54)6 (43)
Race1.00
 White88 (91)76 (90)12 (92)
 Black9 (9)8 (10)1 (8)
 Unknown431
Disease0.43
 AL amyloidosis1 (1)1 (1)0 (0)
 Aplastic anaemia1 (1)1 (1)0 (0)
 Leukaemia22 (22)17 (20)5 (36)
 Lymphoma48 (48)40 (46)8 (57)
 MDS5 (5)5 (6)0 (0)
 Multiple myeloma24 (24)23 (26)1 (7)
Reason for admission0.17
 Allogeneic HCT18 (18)16 (18)2 (14)
 Auto HCT34 (34)32 (37)2 (14)
 Chemotherapy49 (49)39 (45)10 (71)
ANC [median (range)], 1000 mm−359.8 (0–92.9)61.9 (0–92.9)52.2 (2.2–89.7)1.00
Albumin [median (range)], mg dl−14 (2.7–4.8)4 (2.7–4.8)4 (3.5–4.5)0.84
Serum creatinine [median (range)], mg dl−10.8 (0.4–6.1)0.8 (0.4–6.1)0.8 (0.6–1.6)0.85
WBC [median (range)], 1000 mm−36 (0.5–259)5.4 (0.5–259)6.9 (4.2–22.4)0.02
Antibiotics in past 30 days1.00
 No58 (57)50 (57)8 (57)
 Yes43 (43)37 (43)6 (43)
Prior CDI0.14
 No100 (99)87 (100)13 (93)
 Yes1 (1)0 (0)1 (7)
Immunosuppression in past 30 days*0.008
 No97 (96)86 (99)11 (79)
 Yes4 (4)1 (1)3 (21)
Treatment with proton pump inhibitor0.39
 No60 (59)50 (57)10 (71)
 Yes41 (41)37 (43)4 (29)
Treatment with histamine antagonist0.61
 No92 (91)80 (92)12 (86)
 Yes9 (9)7 (8)2 (14)

Data are presented as n (%) unless otherwise specified.

Abbrevations: CD, Clostridium difficile; CDI, Clostridium difficile infection; HCT, haematopoietic cell transplantation; WBC, white blood cell.

*Immunosuppression includes tacrolimus, mycophenolate mofetil and rituximab.

Data are presented as n (%) unless otherwise specified. Abbrevations: CD, Clostridium difficile; CDI, Clostridium difficile infection; HCT, haematopoietic cell transplantation; WBC, white blood cell. *Immunosuppression includes tacrolimus, mycophenolate mofetil and rituximab. The prevalence of toxigenic C. difficile colonization as determined by TC was 14/101 {14 %, [95 % confidence interval (CI): 8–22 %]}. Compared with non-colonized patients, colonized patients were more likely to have received immunosuppressive therapy prior to admission and had slightly higher median white blood cell count (Table 1). However, in a univariable regression model, none of these factors were independent predictors of C. difficile colonization. The results of the univariable logistic regression analysis are shown in Table 2.
Table 2.

Univarable logistic regression analysis for patients colonized with toxigenic C. difficile according to toxigenic culture

CharacteristicOdds ratio (95 % CI)Likelihood ratio P-value
Age, 1 year increase1.02 (0.97–1.07)0.46
Sex, male vs female0.64 (0.20–2.00)0.44
Race, white vs black1.26 (0.15–11.02)0.83
Allogenic HCT0.49 (0.10–2.48)0.39
Auto HCT0.24 (0.05–1.19)0.08
ANC, 1000 mm−31.00 (0.98–1.02)0.86
Albumin, mg dl−11.09 (0.28–4.31)0.90
Serum creatinine, mg dl−10.80 (0.26–2.41)0.66
WBC, 1000 mm−3 (twofold increase)1.51 (0.94–2.41)0.08
Antibiotics in past 30 Days, yes vs no1.01 (0.32–3.17)0.98
Immunosuppression, yes vs no*2.15 (0.21–22.3)0.55
Treatment with proton pump inhibitor, yes vs no0.54 (0.16–1.86)0.31
Treatment with histamine antagonist, yes vs no1.91 (0.35–10.27)0.47

Abbreviations: ANC, absolute neutrophil count; CD, Clostridium difficile; CI, confidence interval; WBC, white blood cell.

*Immunosuppression includes tacrolimus, mycophenolate mofetil and rituximab.

Abbreviations: ANC, absolute neutrophil count; CD, Clostridium difficile; CI, confidence interval; WBC, white blood cell. *Immunosuppression includes tacrolimus, mycophenolate mofetil and rituximab. Table 3 shows the positive and negative test results for each testing method compared to TC. The Xpert PCR C. difficile/Epi had the highest sensitivity of 93 % (95 % CI: 66–100 %) for the detection of C. difficile colonization. Only one patient was positive for C. difficile colonization by TC but negative by the Xpert PCR C. difficile/Epi. The specificity of the Xpert PCR C. difficile/Epi was relatively low at 92 % (95 % CI: 84–97 %). A total of seven patients were positive by the Xpert PCR C. difficile/Epi but negative by TC, which reduced the specificity of the Xpert PCR test in our analysis. The Simplexa C. difficile PCR Universal Direct kit also had seven false positives, but the patients were not the same (only four patients overlapped).
Table 3.

Positive and negative test results for toxigenic C. difficile compared to the gold standard of toxigenic culture

TestTC NegTC posSensitivity [% (95 % CI)]Specificity [% (95 % CI)]PPV [% (95 % CI)]NPV [% (95 % CI)]
Xpert PCR93 (66–100)92 (84–97)65 (41–85)99 (93–100)
 Negative801
 Positive713
Simplexa PCR79 (49–95)92 (84–97)61 (36–83)96 (90–99)
 Negative803
 Positive711
GDH71 (42–92)83 (73–90)40 (21–61)95 (87–99)
 Negative724
 Positive1510
Toxin A/B29 (8–58)100 (96–100)100 (40–100)90 (82–95)
 Negative8710
 Positive04
Lactoferrin36 (13–65)77 (67–85)20 (7–41)88 (79–94)
 Negative679
 Positive205

Abbreviations: GDH, glutamate dehydrogenase; NPV, negative predictive value; PCR, polymerase chain reaction; PPV, positive predictive value; TC Neg, toxigenic culture-negative; TC Pos, toxigenic culture-positive.

Abbreviations: GDH, glutamate dehydrogenase; NPV, negative predictive value; PCR, polymerase chain reaction; PPV, positive predictive value; TC Neg, toxigenic culture-negative; TC Pos, toxigenic culture-positive. From our study data, the test with the lowest sensitivity was the C. diff Quik Chek Complete Toxin A/B, which was only 29 % (95 % CI: 8–58 %) sensitive. However, the toxin test had the highest specificity of 100 % (95 % CI: 96–100), since all four positive results were also positive by TC. The low sensitivity of the toxin test may have been due to the reference method used, since TC does not measure toxin directly [11]. Among the 14 patients who tested positive by TC, only 1 patient (7 %) developed CDI during his hospitalization, and his formed stool tested positive by TC and Xpert PCR C. difficile/Epi prior to the development of CDI. None of the other methods were positive for the patient who developed CDI. In our study of patients with haematological malignancies admitted to the hospital for chemotherapy or HCT, we found that 14 % of patients were colonized with toxigenic C. difficile on hospital admission. Our findings are consistent with those of other recently published studies [6, 13, 14]. Bruminhent et al. [14] found that 10.7 % of HCT patients admitted to the hospital were colonized with toxigenic C. difficile. Similarly, Cannon et al. [13] found that 9.3 % of haematology/oncology patients admitted to the hospital were colonized with toxigenic C. difficile. However, to the best of our knowledge, this is the first study to compare different commercially available testing methods that could be used to screen for toxigenic C. difficile colonization in this population. It is not known which method is optimal for testing patients for C. difficile colonization. In patients who are suspected of having CDI based on clinical symptoms (e.g. diarrhoea), the most recent guidelines from The Infectious Diseases Society of America recommend using a NAAT alone or a multistep testing algorithm [10]. However, there are no comparable guidelines for testing asymptomatic patients with formed stool. In our study, the Xpert PCR C. difficile/Epi had the highest sensitivity and negative predictive value for C. difficile colonization, with a quick turnaround time of 45 min. Thus, our results suggest that NAATs may be the preferred method for testing for C. difficile colonization in asymptomatic patients on hospital admission. It is possible that some of the false-positive results for the NAATs in our study were actually false-negative culture results. Regardless, the low positive predictive values of NAATs in this setting may necessitate the use of a multistep testing algorithm for confirmation of colonization [15]. Increasing evidence suggests that asymptomatic carriers are a source of healthcare-associated CDI [16, 17]. For example, in a study of 56 patients with healthcare-associated CDI, Curry et al. [17] found that 16 (29 %) cases were tied to asymptomatic carriers. Based in part on those findings, Longtin et al. [18] performed a controlled study to determine the effect of detecting and isolating C. difficile asymptomatic carriers at hospital admission on the incidence of healthcare-associated CDI. The authors found that detecting and isolating C. difficile carriers was associated with a significant decrease in the incidence of healthcare-associated CDI. Given the limited evidence, it is unclear if isolating colonized patients has an impact on the incidence of healthcare-associated CDI. Additional larger studies are needed to further investigate the clinical implications and cost-effectiveness of such an approach. Our study has several limitations. It was single-institutional, so our findings may not be generalizable to other settings. Additionally, our cohort was limited to patients with diagnoses of haematological malignancies, so our results may not reflect the majority of general medicine patients or patients admitted to the hospital for non-chemotherapy or HCT indications. Our use of TC as the reference method instead of CCTA may have caused us to underestimate the performance of some of the tests. However, despite its limitations, our study provides novel data comparing different commercially available testing methods to screen asymptomatic patients for toxigenic C. difficile colonization. The identification of colonization will allow providers to explore potential preventive strategies for prophylaxis and preemptive treatment for CDI in this population, as well as for the implementation of isolation strategies to prevent nosocomial transmission of infection. In conclusion, we found that 14 % of the patients in our cohort were colonized with C. difficile on hospital admission. The Cepheid Xpert PCR C. difficile/Epi was the most sensitive test for the detection of C. difficile colonization, with a sensitivity of 93 %. Its high sensitivity and quick turnaround time suggest that it could be used to screen patients for C. difficile colonization on hospital admission. Future randomized controlled studies will help to determine whether isolating patients colonized with C. difficile is an effective way to reduce healthcare-associated CDI.
  18 in total

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Journal:  Clin Transplant       Date:  2010-10-25       Impact factor: 2.863

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Journal:  Clin Infect Dis       Date:  2014-04-21       Impact factor: 9.079

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4.  Clinical Practice Guidelines for Clostridium difficile Infection in Adults and Children: 2017 Update by the Infectious Diseases Society of America (IDSA) and Society for Healthcare Epidemiology of America (SHEA).

Authors:  L Clifford McDonald; Dale N Gerding; Stuart Johnson; Johan S Bakken; Karen C Carroll; Susan E Coffin; Erik R Dubberke; Kevin W Garey; Carolyn V Gould; Ciaran Kelly; Vivian Loo; Julia Shaklee Sammons; Thomas J Sandora; Mark H Wilcox
Journal:  Clin Infect Dis       Date:  2018-03-19       Impact factor: 9.079

5.  Reference assays for Clostridium difficile infection: one or two gold standards?

Authors:  Timothy Planche; Mark Wilcox
Journal:  J Clin Pathol       Date:  2010-11-30       Impact factor: 3.411

6.  Epidemiology and outcomes of Clostridium difficile infections in hematopoietic stem cell transplant recipients.

Authors:  Carolyn D Alonso; Suzanne B Treadway; David B Hanna; Carol Ann Huff; Dionissios Neofytos; Karen C Carroll; Kieren A Marr
Journal:  Clin Infect Dis       Date:  2012-03-12       Impact factor: 9.079

7.  Risk factors, outcomes and epidemiology associated with Clostridium difficile infection in patients with haematological malignancies in a tertiary care hospital in China.

Authors:  Si-Lan Gu; Yun-Bo Chen; Tao Lv; Xue-Wu Zhang; Ze-Qing Wei; Ping Shen; Lan-Juan Li
Journal:  J Med Microbiol       Date:  2015-01-16       Impact factor: 2.472

8.  Comparison of nine commercially available Clostridium difficile toxin detection assays, a real-time PCR assay for C. difficile tcdB, and a glutamate dehydrogenase detection assay to cytotoxin testing and cytotoxigenic culture methods.

Authors:  Kerrie Eastwood; Patrick Else; André Charlett; Mark Wilcox
Journal:  J Clin Microbiol       Date:  2009-08-26       Impact factor: 5.948

9.  Clostridium Difficile Colonization in Hematopoietic Stem Cell Transplant Recipients: A Prospective Study of the Epidemiology and Outcomes Involving Toxigenic and Nontoxigenic Strains.

Authors:  Tania Jain; Christopher Croswell; Varinia Urday-Cornejo; Reda Awali; Jessica Cutright; Hossein Salimnia; Harsha Vardhan Reddy Banavasi; Alyssa Liubakka; Paul Lephart; Teena Chopra; Sanjay G Revankar; Pranatharthi Chandrasekar; George Alangaden
Journal:  Biol Blood Marrow Transplant       Date:  2015-07-26       Impact factor: 5.742

10.  Effect of Detecting and Isolating Clostridium difficile Carriers at Hospital Admission on the Incidence of C difficile Infections: A Quasi-Experimental Controlled Study.

Authors:  Yves Longtin; Bianka Paquet-Bolduc; Rodica Gilca; Christophe Garenc; Elise Fortin; Jean Longtin; Sylvie Trottier; Philippe Gervais; Jean-François Roussy; Simon Lévesque; Debby Ben-David; Isabelle Cloutier; Vivian G Loo
Journal:  JAMA Intern Med       Date:  2016-06-01       Impact factor: 21.873

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