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Impact of malignancy on Clostridium difficile infection
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Min Sung Chung*, Jieun Kim*, Jung Oak Kang, Hyunjoo Pai
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* These authors contributed equally to this work.
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Min Sung Chung
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Department of Surgery, Hanyang University College of Medicine, 222-1,
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Wangsimni-ro, Seongdong-gu, Seoul, Korea
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E-mail : [email protected]
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Jieun Kim
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Department of Internal Medicine, Hanyang University College of Medicine,
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222-1, Wangsimni-ro, Seongdong-gu, Seoul, Korea
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E-mail : [email protected]
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Jung Oak Kang
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Department of Laboratory Medicine, Hanyang University College of Medicine,
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222-1, Wangsimni-ro, Seongdong-gu, Seoul, Korea
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E-mail : [email protected]
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Hyunjoo Pai (Corresponding author)
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Department of Internal Medicine, Hanyang University College of Medicine
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222-1, Wangsimni-ro, Seongdong-gu, Seoul, Korea
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TEL: +82-2-2290-8356
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FAX: +82-2-2298-9183
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E-mail: [email protected]
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ABSTRACT
Purpose: The purpose of the study was to investigate the impact of malignancy and chemotherapy on the
clinical and microbiological characteristics of Clostridium difficile infections (CDI).
Methods: CDI patients with a history of malignancy within 5 years were defined as the cancer group. The
characteristics of the patients were compared according to the presence of malignancy.
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Results: Of 580 patients with CDI, 159 (27.4%) belonged to the cancer group and 421 (72.6%) to the non-
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cancer group. More of the patients in the cancer group than of those in the non-cancer group had been hospitalized
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within the prior 2 months (P<0.001). Leukocytosis was more common in the non-cancer group (P = 0.034), while
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infection by PCR ribotype 017 strains was more common in the cancer group, with marginal significance (P =
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0.07). Recurrence was more frequent in the cancer group (20.4% vs. 9.5%, P =0.005) and cancer was an
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independent risk factor for recurrence of CDI (OR=2.66, 95% CI 1.34-5.29, P =0.005). Age also contributed to
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the recurrence of CDI (OR=1.03, 95% CI 1.00-1.06, P =0.026).
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Conclusions: Malignancy and age are independent risk factors for recurrence of CDI. Cancer patients require
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careful observation for recurrence after treatment of CDI.
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Keywords: Clostridium difficile, Malignancy, Clinical outcome, Recurrence
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INTRODUCTION
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Clostridium difficile infection (CDI) is the most common cause of healthcare-associated diarrhea [1]. Due to
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the increased incidence of CDI, mortality, morbidity, length of hospital stay, and healthcare costs have increased
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[2].
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The use of antimicrobial agents is the best-recognized risk factor for CDI [3]. Other risk factors include advanced
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age, admission to a healthcare facility, severe comorbidities, exposure to chemotherapy, immunosuppressive
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therapy, and use of proton pump inhibitors [4].
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The incidence of CDI in cancer patients receiving chemotherapy has been reported to be as high as 7%, compared
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to 1–2 % in the general hospitalized population [5-7]. Cancer patients have multiple risk factors for CDI including
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long-term hospitalization, exposure to broad-spectrum antibiotics, neutropenia, and chemotherapeutic agents. In
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addition, cancer affects an increasingly elderly population, often affected suffering from multiple co-morbidities
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[8]. There have been a few studies of CDI in cancer patients but most were of cancer patients receiving
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chemotherapy or of hematopoietic stem cell transplant patients in single hematology/oncology departments [9-11]
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or single cancer cohorts [12,11].
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To investigate the impact of malignancy and chemotherapy on CDI, we have compared the clinical and
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microbiological characteristics and clinical outcomes of CDI in cancer and non-cancer patients and in cancer
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patients receiving or not receiving chemotherapy.
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MATERIALS AND METHODS
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Setting and study design
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This study was conducted at Hanyang University Hospital, a 900-bed tertiary care facility located in Seoul,
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South Korea. From February 2009 through January 2013, patients above 18 years with healthcare-associated C.
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difficile infections (HA-CDIs) were enrolled. Only the first episode of HA-CDI was included. The study was
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approved by the institutional review board of Hanyang University Hospital (HYUH IRB 2013-07-016), and
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informed consent was waived.
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Definitions
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Diarrhea was defined as unformed stool more than 3 times per day on consecutive days, or 6 times within 36
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hr. CDI was defined when the isolates from stool cultures were positive for toxin genes (tcdA, tcdB, cdtA, or cdtB)
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by multiplex PCR, positive in assays for toxins A & B with a commercial kit (VIDAS® C. difficile Toxin A & B;
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BioMerieux SA, Marcyl’Etoile, France), and/or pseudomembranes were observed during endoscopy or histology.
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CDI patient who developed diarrhea at least 72 hr after hospitalization or within 2 months of their last discharge
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were considered as HA-CDI [13].
Those with a history of malignancy within 5 years were defined as the ‘cancer
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group’, and, within the cancer group, patients who received chemotherapy within 2 months were defined as the
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‘chemotherapy subgroup’ and those not receiving chemotherapy as the ‘conservative group’.
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Neutropenia was defined when the WBC count was < 1,000 cells/mm3. Recurrence was defined as growth of C.
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difficile (as defined above) with resurgence of symptoms, at least 10 days and < 60 days after the first episode
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[14]. Death related to CDI was defined as death within 30 days after diagnosis if CDI was either the primary or a
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contributory cause [15].
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White blood cell (WBC) count and albumin level were checked within 24 hr of enrollment to assess disease
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severity. To assess disease severity, two method was applied. Age > 60 yr, temperature > 38.3°C, albumin level <
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2.5 mg/dL, or WBC count > 15,000 cells/mm3 got 1 point each; the sum of the points was taken as the severity
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score for CDI and the CDI was considered to be severe when scores were ≥ 2 points [16]. The other method
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defined by SHEA/IDSA, and white blood cell count ≥ 15,000 cells/mL or serum creatinine ≥1.5 times the
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premorbid level was regarded as severe CDI [17].
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Collection of data
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Age, sex, body mass index (BMI), length of stay in hospital, admission history and medication history within
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the previous 2 months, and underlying disease including Charlson’s score were obtained as demographic and
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clinical data by review of medical records. Use of antibiotics and chemotherapy within 2 months has been studied
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as a risk factor for CDI [18]. We also noted whether antibiotics for non-CDI were continued or discontinued after
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diagnosis of CDI.
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Isolation and characterization of C. difficile isolates
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Stool specimens were grown anaerobically on cycloserine–cefoxitin–taurocholate agar (Oxoid Ltd., Cambridge,
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UK) supplemented with 7% horse blood after alcohol shock treatment [19]. Colonies of C. difficile were identified
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with an API® Rapid ID 32A system (bioMérieux SA, Lyon, France). Using DNA from each isolate, multiplex
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PCR for toxin genes and agar gel electrophoresis were performed as described elsewhere with minor modifications
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[20]. PCR-ribotyping was also performed as described [21].
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Statistical methods
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SPSS version 21.0 for Windows (SPSS, Chicago, IL, USA) was used for statistical analysis. Categorical
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variables were analyzed by Pearson’s chi-square test or Fisher’s exact test. Continuous variables were analyzed
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by independent t-test or the Mann-Whitney U-test. A P value of < 0.05 in a two-tailed test was considered
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statistically significant.
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RESULTS
During the study period, 580 cases were diagnosed as initial, non-recurrent HA-CDI. 159 cases (27.4%) were
in the cancer group and 421 (72.6%) in the non-cancer group.
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Characteristics related to malignancy in the cancer group
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Of the 159 cancer cases, 144 (90.6%) had solid malignancies and 15 (9.4%) had hematologic malignancies.
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The most common type of solid malignancy was gastrointestinal (76, 52.8%), followed by pulmonary (27, 18.8%),
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urologic (10, 6.9%), gynecologic (6, 4.2%), head and neck (5, 3.5%) and breast (4, 2.8%). Sixty-nine of the 159
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patients (43.4 %) received chemotherapy. The most commonly employed regimens were platinum (35, 50.7%)
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followed by 5-FU/5-FU prodrugs (18, 26.1%), topoisomerase inhibitors, and taxane and tyrosine kinase inhibitor
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(TKI)-based regimens used in combination.
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Demographic and clinical characteristics of the CDI patients
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Table 1 presents the demographic and clinical characteristics of the CDI patients according to presence of
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malignancy. Age, BMI, and antibiotics history were similar in the two groups. In the cancer group, there were
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significantly fewer females (P=0.009), more patients were hospitalized within the previous 2 months (45.3% vs.
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27.4%, P <0.001), and the mean Charlson`s score was significantly higher. Median WBC counts was higher in
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the non-cancer group (8,000/mm3 vs 9,900/mm3, P<0.001), as was leukocytosis (13.2% vs. 20.9%, P = 0.034).
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Other factors reflecting disease severity such as old age, fever, and hypoalbuminemia did not differ.
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Pseudomembranous colitis was observed during endoscopy in 26.3% (10/38) and 38.0% (41/108) of the cancer
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and non-cancer patients, respectively.
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The patients in the conservative treatment subgroup were on average older than those in the chemotherapy
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subgroup (p<0.001) (Table 1). Admissions were more frequent in the chemotherapy subgroup (p=0.005), but
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antibiotic exposure was more frequent in the conservative subgroup (p=0.004). Higher WBC counts and lower
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albumin levels were observed in the conservative subgroup (p<0.001, p=0.023, respectively), but there was no
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difference in severity score. A similar proportion of the patients in each group were treated.
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Clinical outcomes
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The clinical outcomes of CDI were compared in those cancer and non-cancer patients receiving treatment for
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CDI (93 and 274 patients, respectively), and between the chemotherapy and conservative subgroups who received
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treatment for CDI (38 and 55, respectively) (Table 2).
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Of the 367 treated patients, 22 (6.0%) received vancomycin as first line therapy (3.2% in the cancer vs. 6.9% in
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the non-cancer group; P=0.193). The recurrence rate was significantly higher in the cancer group than the non-
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cancer group (20.4% vs. 9.5%, P=0.005). Although not statistically significant, the cancer patients had a higher
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in-hospital mortality rate (23.9% vs. 8.0%, P=0.161); however, CDI-related deaths were more frequent in the non-
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cancer group (0 vs. 1.8%, P=0.335).
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There were no statistically significant differences in clinical outcomes including recurrence rate between the
cancer subgroups.
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Microbiologic characteristics
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PCR-ribotyping was performed on 400 of 421 isolates (95%) from the non-cancer group and 150 of 159 isolates
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(94.3%) from the cancer group (Table 1). In the non-cancer group, PCR-ribotype 018 was the most frequent type,
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whereas, PCR ribotype 017 was the most common type in the cancer group; the latter appeared to be more
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common in the cancer group than the non-cancer group (P=0.07). A total of 15 binary toxin-producing strains
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were identified, 2 in the cancer group and 13 in the non-cancer group; one of the strains was PCR ribotype 267
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and the others had no matching reference strains. PCR ribotype 027 was not encountered.
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There was no statistically significant association between PCR ribotype and toxinotype and exposure to
chemotherapy.
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Risk factors for recurrence of CDI
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In a univariate analysis there was a significant difference between the recurrence rates in the cancer and non-
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cancer group (Table 1). We therefore performed a multivariate logistic regression analysis to establish whether
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presence of malignancy remained a risk factor for recurrence after adjusting other variables. Age, sex, history of
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malignancy, admission history and leukocytosis were included in the analysis. Because of multicollinearity
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between malignancy and Charlson’s score, we excluded the latter from the analysis. Presence of malignancy
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within 5 years was found to be a significant risk factor for recurrence (OR=2.665, 95% CI 1.343-5.289, P=0.005).
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Age also had a statistically significant effect (OR=1.032, 95% CI 1.004-1.060, P=0.026) (Table 3).
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DISCUSSION
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In this study the clinical characteristics, outcomes and microibiological characteristics of CDI in patients with
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malignancies and those receiving anticancer chemotherapy were investigated. Recurrence of CDI was more
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frequent in the cancer patients than in the non-cancer patients, but chemotherapy did not significantly effect the
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clinical outcomes.
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With regard to CDI in cancer patients, either cancer itself or anticancer chemotherapy could influence the course
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of CDI. Chemotherapeutic agents could induce colonic inflammation, decrease the repair capacity of the mucosal
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epithelium or promote an anaerobic enviroment, which favors CDI [7]. In a review of CDI in cancer patients, it
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was noted that several specific chemotherapeutic agents such as 5-fluorouracil, DNA topoisomerase inhibitors,
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cisplatin, paclitaxel, and carboplatin among others were associated with the occurrence of CDI [7,22]. In a
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previous study, patients with gastrointestinal cancer had a lower probability of developing CDI than patients with
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other types of cancer [9]. Because the present study was retrospective, we could not estimate the true incidence
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and prevalence of CDI in the varios types of cancer or in response to chemotherapy. However, most of the cancer
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patnts in this study had solid tumors, and gastrointestinal cancer was actually the most common (47.8%) type
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among the CDI patients.
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There were no differences between the groups in clinical characteristics. Although WBC count was higher in the
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non-cancer group than the cancer group, and in the subgroup receiving conservative treament than in the subgroup
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receiving chemotherapy, severity scores and mortality did not differ between the groups. There were a total of 9
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neutropenia patients and most of them received chemotherapy, but neutropenia followed by chemotherapy was
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not associated with a poor outcome of CDI. Therefore, in the cancer group, and especially in the cancer patients
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receiving chemotherapy, leukocytosis did not predict the clinical course of CDI, which supports the view that
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other factors influence the CDI severity score in cancer patients [10].
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The estimated recurrence rate of CDI among initially treated CDI patients has been reported to be as high as
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35%, and this increases in the case of hypervirulent BI/NAP1/027 C. difficile infections [23-25]. The recurrence
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rate in Korea, where the prevalent PCR ribotypes are 017 and 018, has been reported to be 10-20%, lower than in
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Europe or North America [26,27]. In this study, recurrence was defined as a second episode at least 10 days and
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no more than 60 days after the first one. The overall recurrence rate was 12.3%, and 20.4% of cancer patients
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experienced recurrence. The risk factors for recurrent CDI described in previous studies include inadequate
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antitoxin antibody response, persistent disruption of colonic flora, age over 65 years, continuation of non-
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C.difficile antimicrobial therapy, long hospital stay, and concomitant receipt of antacid medication [28]. The
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presence of severe underlying disease was also associated with an increased risk of recurrence [29]. In our study,
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malignancy itself was found to be an independent risk factor for recurrent CDI regardless of exposure to
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chemotherapy within 2 months, or hospital admission. The profound immunological changes associated with
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cancer itself may increase the risk of recurrence [30,31,7].
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PCR ribotype 017 strains were the most common C. difficile ribotype infecting cancer patients. These strains are
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toxin A-negative and toxin B-positive strains endemic in Korea, especially in healthcare settings [32]. Frequent
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hospitalization probably increased the chance of infection by endemic C. difficile strains, but chemotherapy itself
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did not favor the acquisition of any particular C. difficile PCR ribotype. Because PCR ribotype 017 infections are
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reported to be more likely to recur in Korea than other PCR ribotype infections [33], infection by this ribotype
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may contribute to the higher recurrence rate in cancer patients.
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This study has several limitations. Because it was retrospective, we could not investigate the incidence of CDI
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among the totatality of cancer patients admitted to our hosipital, or establish which type of cancer or chemothrapy
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was most frequently associated with CDI. Second, because the study was conducted in a single-center, the types
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of cancers in patients and the prevalent strains of C. difficile could differ between hospitals, and conclusions must
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be generalized with care. However, our findings provide a basis for larger multicenter prospective studies of CDI
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in patients with malignancies.
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In conclusion, malignancy and old age are independent risk factors for recurrence of CDI. CDI patients
suffering from cancer should be kept under careful observation for recurrence after the initial treatment.
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Acknowledgments
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Funding : none
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Conflict of Interest : none
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Ethical approval : approved by the institutional review board of Hanyang University Hospital (HYUH IRB 2013-
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07-016)
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Informed consent : waived.
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Parts of this study present as a poster at ASM microbe 2016 (poster number 2207, June 16-20, 2016, Boston, US)
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REFERENCES
238
239
1. Kelly CP, LaMont JT (2008) Clostridium difficile--more difficult than ever. The New England journal of
240
medicine 359 (18):1932-1940. doi:10.1056/NEJMra0707500
241
2. Monge D, Millan I, Gonzalez-Escalada A, Asensio A (2013) [The effect of Clostridium difficile infection on
242
length of hospital stay. A cohort study]. Enfermedades infecciosas y microbiologia clinica 31 (10):660-664.
243
doi:10.1016/j.eimc.2012.11.007
244
3. McFarland LV, Mulligan ME, Kwok RY, Stamm WE (1989) Nosocomial acquisition of Clostridium difficile
245
infection. The New England journal of medicine 320 (4):204-210. doi:10.1056/NEJM198901263200402
246
4. Bartlett JG, Gerding DN (2008) Clinical recognition and diagnosis of Clostridium difficile infection. Clinical
247
infectious diseases : an official publication of the Infectious Diseases Society of America 46 Suppl 1:S12-18.
248
doi:10.1086/521863
249
5. Kamthan AG, Bruckner HW, Hirschman SZ, Agus SG (1992) Clostridium difficile diarrhea induced by cancer
250
chemotherapy. Archives of internal medicine 152 (8):1715-1717
251
6. Husain A, Aptaker L, Spriggs DR, Barakat RR (1998) Gastrointestinal toxicity and Clostridium difficile
252
diarrhea in patients treated with paclitaxel-containing chemotherapy regimens. Gynecologic oncology 71 (1):104-
253
107. doi:10.1006/gyno.1998.5158
254
7. Khan A, Raza S, Batul SA, Khan M, Aksoy T, Baig MA, Berger BJ (2012) The evolution of Clostridium
255
difficile infection in cancer patients: epidemiology, pathophysiology, and guidelines for prevention and
256
management. Recent patents on anti-infective drug discovery 7 (2):157-170
257
8. Barnett K, Mercer SW, Norbury M, Watt G, Wyke S, Guthrie B (2012) Epidemiology of multimorbidity and
258
implications for health care, research, and medical education: a cross-sectional study. Lancet 380 (9836):37-43.
259
doi:10.1016/S0140-6736(12)60240-2
260
9. Rodriguez Garzotto A, Merida Garcia A, Munoz Unceta N, Galera Lopez MM, Orellana-Miguel MA, Diaz-
261
Garcia CV, Cortijo-Cascajares S, Cortes-Funes H, Agullo-Ortuno MT (2015) Risk factors associated with
262
Clostridium difficile infection in adult oncology patients. Supportive care in cancer : official journal of the
263
Multinational Association of Supportive Care in Cancer 23 (6):1569-1577. doi:10.1007/s00520-014-2506-7
264
10. Yoon YK, Kim MJ, Sohn JW, Kim HS, Choi YJ, Kim JS, Kim ST, Park KH, Kim SJ, Kim BS, Shin SW, Kim
8
265
YH, Park Y (2014) Predictors of mortality attributable to Clostridium difficile infection in patients with underlying
266
malignancy. Supportive care in cancer : official journal of the Multinational Association of Supportive Care in
267
Cancer 22 (8):2039-2048. doi:10.1007/s00520-014-2174-7
268
11. Krishna SG, Zhao W, Apewokin SK, Krishna K, Chepyala P, Anaissie EJ (2013) Risk factors, preemptive
269
therapy, and antiperistaltic agents for Clostridium difficile infection in cancer patients. Transplant infectious
270
disease : an official journal of the Transplantation Society 15 (5):493-501. doi:10.1111/tid.12112
271
12. Hwang KE, Hwang YR, Seol CH, Park C, Park SH, Yoon KH, Park DS, Lee MK, Jeong ET, Kim HR (2013)
272
Clostridium difficile Infection in lung cancer patients. Japanese journal of infectious diseases 66 (5):379-382
273
13. Gravel D, Miller M, Simor A, Taylor G, Gardam M, McGeer A, Hutchinson J, Moore D, Kelly S, Boyd D,
274
Mulvey M, Canadian Nosocomial Infection Surveillance P (2009) Health care-associated Clostridium difficile
275
infection in adults admitted to acute care hospitals in Canada: a Canadian Nosocomial Infection Surveillance
276
Program Study. Clinical infectious diseases : an official publication of the Infectious Diseases Society of America
277
48 (5):568-576. doi:10.1086/596703
278
14. Barbut F, Richard A, Hamadi K, Chomette V, Burghoffer B, Petit JC (2000) Epidemiology of recurrences or
279
reinfections of Clostridium difficile-associated diarrhea. Journal of clinical microbiology 38 (6):2386-2388
280
15. Kuijper EJ, Coignard B, Tull P (2006) Emergence of Clostridium difficile-associated disease in North America
281
and Europe. Clinical microbiology and infection : the official publication of the European Society of Clinical
282
Microbiology and Infectious Diseases 12 Suppl 6:2-18. doi:10.1111/j.1469-0691.2006.01580.x
283
16. Zar FA, Bakkanagari SR, Moorthi KM, Davis MB (2007) A comparison of vancomycin and metronidazole
284
for the treatment of Clostridium difficile-associated diarrhea, stratified by disease severity. Clinical infectious
285
diseases : an official publication of the Infectious Diseases Society of America 45 (3):302-307.
286
doi:10.1086/519265
287
17. Cohen SH, Gerding DN, Johnson S, Kelly CP, Loo VG, McDonald LC, Pepin J, Wilcox MH (2010) Clinical
288
practice guidelines for Clostridium difficile infection in adults: 2010 update by the society for healthcare
289
epidemiology of America (SHEA) and the infectious diseases society of America (IDSA). Infect Control Hosp
290
Epidemiol 31 (5):431-455. doi:10.1086/651706
291
18. O'Connor JR, Johnson S, Gerding DN (2009) Clostridium difficile infection caused by the epidemic
292
BI/NAP1/027 strain. Gastroenterology 136 (6):1913-1924. doi:10.1053/j.gastro.2009.02.073
293
19. Aspinall ST, Hutchinson DN (1992) New selective medium for isolating Clostridium difficile from faeces.
294
Journal of clinical pathology 45 (9):812-814
295
20. Persson S, Torpdahl M, Olsen KE (2008) New multiplex PCR method for the detection of Clostridium difficile
296
toxin A (tcdA) and toxin B (tcdB) and the binary toxin (cdtA/cdtB) genes applied to a Danish strain collection.
297
Clinical microbiology and infection : the official publication of the European Society of Clinical Microbiology
298
and Infectious Diseases 14 (11):1057-1064. doi:10.1111/j.1469-0691.2008.02092.x
299
21. Bidet P, Barbut F, Lalande V, Burghoffer B, Petit JC (1999) Development of a new PCR-ribotyping method
300
for Clostridium difficile based on ribosomal RNA gene sequencing. FEMS Microbiol Lett 175 (2):261-266
301
22. Chopra T, Alangaden GJ, Chandrasekar P (2010) Clostridium difficile infection in cancer patients and
302
hematopoietic stem cell transplant recipients. Expert review of anti-infective therapy 8 (10):1113-1119.
303
doi:10.1586/eri.10.95
9
304
23. Maroo S, Lamont JT (2006) Recurrent clostridium difficile. Gastroenterology 130 (4):1311-1316.
305
doi:10.1053/j.gastro.2006.02.044
306
24. Garey KW, Sethi S, Yadav Y, DuPont HL (2008) Meta-analysis to assess risk factors for recurrent Clostridium
307
difficile infection. The Journal of hospital infection 70 (4):298-304. doi:10.1016/j.jhin.2008.08.012
308
25. Marsh JW, Arora R, Schlackman JL, Shutt KA, Curry SR, Harrison LH (2012) Association of relapse of
309
Clostridium difficile disease with BI/NAP1/027. Journal of clinical microbiology 50 (12):4078-4082.
310
doi:10.1128/jcm.02291-12
311
26. Kim J, Pai H, Seo MR, Kang JO (2011) Epidemiology and clinical characteristics of Clostridium difficile
312
infection in a Korean tertiary hospital. Journal of Korean medical science 26 (10):1258-1264.
313
doi:10.3346/jkms.2011.26.10.1258
314
27. Lee JH, Lee SY, Kim YS, Park SW, Park SW, Jo SY, Ryu SH, Lee JH, Moon JS, Whang DH, Shin BM (2010)
315
[The incidence and clinical features of Clostridium difficile infection; single center study]. The Korean journal of
316
gastroenterology = Taehan Sohwagi Hakhoe chi 55 (3):175-182
317
28. Johnson S (2009) Recurrent Clostridium difficile infection: a review of risk factors, treatments, and outcomes.
318
The Journal of infection 58 (6):403-410. doi:10.1016/j.jinf.2009.03.010
319
29. Kelly CP (2012) Can we identify patients at high risk of recurrent Clostridium difficile infection? Clinical
320
microbiology and infection : the official publication of the European Society of Clinical Microbiology and
321
Infectious Diseases 18 Suppl 6:21-27. doi:10.1111/1469-0691.12046
322
30. Bishop KD, Castillo JJ (2012) Risk factors associated with Clostridium difficile infection in adult oncology
323
patients with a history of recent hospitalization for febrile neutropenia. Leukemia & lymphoma 53 (8):1617-1619.
324
doi:10.3109/10428194.2012.654472
325
31. Loo VG, Bourgault AM, Poirier L, Lamothe F, Michaud S, Turgeon N, Toye B, Beaudoin A, Frost EH, Gilca
326
R, Brassard P, Dendukuri N, Beliveau C, Oughton M, Brukner I, Dascal A (2011) Host and pathogen factors for
327
Clostridium difficile infection and colonization. The New England journal of medicine 365 (18):1693-1703.
328
doi:10.1056/NEJMoa1012413
329
32. Kim J, Kang JO, Kim H, Seo MR, Choi TY, Pai H, Kuijper EJ, Sanders I, Fawley W (2013) Epidemiology of
330
Clostridium difficile infections in a tertiary-care hospital in Korea. Clinical microbiology and infection : the
331
official publication of the European Society of Clinical Microbiology and Infectious Diseases 19 (6):521-527.
332
doi:10.1111/j.1469-0691.2012.03910.x
333
33. Kim J, Seo MR, Kang JO, Kim Y, Hong SP, Pai H (2014) Clinical characteristics of relapses and re-infections
334
in Clostridium difficile infection. Clinical microbiology and infection : the official publication of the European
335
Society of Clinical Microbiology and Infectious Diseases 20 (11):1198-1204. doi:10.1111/1469-0691.12704
336
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