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Clostridium difficile in Crete, Greece: epidemiology, microbiology and clinical disease

Published online by Cambridge University Press:  20 May 2015

G. SAMONIS
Affiliation:
Department of Internal Medicine, University of Crete, Heraklion, Greece
K. Z. VARDAKAS
Affiliation:
Alfa Institute of Biomedical Sciences (AIBS), Athens, Greece Department of Internal Medicine – Infectious Diseases, Iaso General Hospital, Iaso Group, Athens, Greece
G. S. TANSARLI
Affiliation:
Alfa Institute of Biomedical Sciences (AIBS), Athens, Greece
D. DIMOPOULOU
Affiliation:
Department of Internal Medicine, University of Crete, Heraklion, Greece
G. PAPADIMITRIOU
Affiliation:
Department of Internal Medicine, University of Crete, Heraklion, Greece
D. P. KOFTERIDIS
Affiliation:
Department of Internal Medicine, University of Crete, Heraklion, Greece
S. MARAKI
Affiliation:
Department of Clinical Microbiology, University Hospital of Heraklion, Heraklion, Crete, Greece
M. KARANIKA
Affiliation:
Department of Applied Mathematics and Physics, National Technical University of Athens, Athens, Greece
M. E. FALAGAS*
Affiliation:
Alfa Institute of Biomedical Sciences (AIBS), Athens, Greece Department of Internal Medicine – Infectious Diseases, Iaso General Hospital, Iaso Group, Athens, Greece Department of Medicine, Tufts University School of Medicine, Boston, MA, USA
*
*Author for correspondence: Professor M. Ε. Falagas, Alfa Institute of Biomedical Sciences (AIBS), 9 Neapoleos Street, 151 23 Marousi, Athens, Greece. (Email: m.falagas@aibs.gr)
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Summary

We studied the epidemiology and microbiology of Clostridium difficile and the characteristics of patients with C. difficile infection (CDI) in Crete in three groups of hospitalized patients with diarrhoea: group 1 [positive culture and positive toxin by enzyme immunoassay (EIA)]; group 2 (positive culture, negative toxin); group 3 (negative culture, negative toxin). Patients in group 1 were designated as those with definitive CDI (20 patients for whom data was available) and matched with cases in group 2 (40 patients) and group 3 (40 patients). C. difficile grew from 6% (263/4379) of stool specimens; 14·4% of these had positive EIA, of which 3% were resistant to metronidazole. Three isolates had decreased vancomycin susceptibility. Patients in groups 1 and 2 received more antibiotics (P = 0·03) and had more infectious episodes (P = 0·03) than patients in group 3 prior to diarrhoea. Antibiotic administration for C. difficile did not differ between groups 1 and 2. Mortality was similar in all three groups (10%, 12·5% and 5%, P = 0·49). CDI frequency was low in the University Hospital of Crete and isolates were susceptible to metronidazole and vancomycin.

Type
Original Papers
Copyright
Copyright © Cambridge University Press 2015 

INTRODUCTION

Clostridium difficile infection (CDI) has been increasingly reported as a threat to public health during the last decade. In the United States in 2013, CDC estimated that C. difficile accounted for or prolonged the duration of hospitalization of 250000 infections annually, 14000 deaths, and at least 1 billion dollars in excess medical costs [1]. CDI severity ranges from self-limiting diarrhoea to life-threatening pseudomembranous colitis [Reference Bignardi2, Reference Wistrom3]. Prior uses of antibiotics, hospitalization or residency in healthcare facilities, and ageing have been identified among the risk factors for the development of CDI [Reference Wistrom3Reference Vardakas7]. Despite the fact that the prevalence of CDI has been increasing worldwide [Reference Bartlett8, Reference Jones, Kuijper and Wilcox9], this clinical entity is still underestimated by clinicians and frequently under-diagnosed [Reference Davies10].

Diagnosis of CDI is also troublesome. Toxigenic cultures (the gold standard) are rarely performed in daily practice, because they are time consuming [Reference Davies10, Reference Cohen11]. The sensitivity of the two-step method, which utilizes detection of glutamate dehydrogenase in stool and positive toxin A or B enzyme immunoassay (EIA, 75–95%) is lower than that of polymerase chain reaction (PCR); which in turn is more expensive and currently cannot be widely used [Reference Cohen11, Reference Surawicz12]. As a result, most cases in clinical practice are defined by a positive-toxin EIA in a patient with history and symptoms compatible with CDI [Reference Surawicz11]. This definition has also been used in several clinical studies [Reference Davies10, Reference Brown13Reference Takahashi, Mori and Bito16]. In addition, a delay in transportation or preparation for toxin detection may increase the possibility of false-negative results [Reference Modi17]. Hence, diarrhoea episodes that are true CDI cases may be misclassified as non-CDI. On the other hand, it is known that non-toxigenic C. difficile strains may prevent colonization from toxigenic C. difficile strains and CDI [Reference Shim18].

In this article we sought to evaluate the epidemiology and microbiology of C. difficile and study the characteristics of patients with CDI in the island of Crete. In addition, we sought to study whether there are differences between patients with diarrhoea and positive culture and toxin EIA and those with positive culture but negative toxin EIA, including history, prescribed treatment and all-cause in-hospital mortality.

METHODS

Study design, setting and patient population

A retrospective study was performed using data from the University Hospital of Heraklion, Crete, Greece, which is a 700-bed tertiary-care general hospital and operates as a reference centre for the island's 620 000 inhabitants. All C. difficile strains isolated from diarrhoeal stool samples between 2004 and 2010 were identified using the electronic records of the Department of Microbiology. The available patient charts were used for extraction of clinical data. Approval was given by the ethics committee of the University Hospital of Heraklion, Crete. Patient's records/information were anonymized.

At the University Hospital of Heraklion in Crete, Greece, all patients with clinical suspicion of CDI are tested. However, it is not mandatory to test all patients with compatible symptoms and history or all diarrhoeal specimens for CDI. Reporting to national or regional agencies is also not mandatory for CDI. A culture for identification of C. difficile is performed and toxin production is tested via EIA in all diarrhoeal stool samples submitted for possible CDI. Stool samples sent to the microbiology department for testing of possible CDI were classified as having positive or negative culture for C. difficile and toxin A and B immunoassay test. The samples were classified in three groups. Group 1 consisted of those with positive culture and positive toxin EIA (C+T+). Group 2 included those with positive culture and negative toxin (C+T–). Group 3 consisted of those with negative culture and negative toxin (C–T–).

Any patient with a positive culture for C. difficile and toxin (C+T+), regardless of history of prior CDI (i.e. both primary episodes and recurrences), was eligible for inclusion in the study. Only one positive stool sample per patient episode was included in the study. If more than one episodes of CDI occurred in the same patient, any subsequent episode could be included in the analysis if it occurred at least 1 month after the resolution of the previous episode.

The available medical records of patients with C+T+ stool samples (group 1) were searched for data extraction. Data regarding demographic characteristics and patients’ history (including data from the index hospitalization period prior to the development of diarrhoea) were collected via pre-specified forms and tabulated. Interventions during hospitalization and antibiotic treatment were also recorded. Data regarding other bacteria or fungi isolated from the same clinical specimen, different specimens at the same time or variable specimens at different time points prior to or after the index diarrhoeal episode were also recorded.

A matched case-case-control study was done. Matching was done for gender, year of isolation and department of admission at the time of isolation. Year of isolation and department of admission were selected in order to reduce discrepancies in the diagnostic approach and treatment for possible CDI. The patients with C+T+ stool samples were matched to patients with C+T– stool samples in a 1:2 ratio. Matching was done consecutively for gender, year of isolation and department of admission. If more than two patients could be matched to one C+/T+ case, the patients were selected randomly using random numbers. A third group consisting of patients with diarrhoea who tested negative for culture and toxin (C–T–) for C. difficile (group 3) was created using the previously described methodology in a 1:2 ratio (C+T+:C–T–), and served as the control group.

Microbiological assays

All diarrhoeal stool specimens sent to the microbiology department for toxin A and B identification were also cultured for C. difficile. The presence of C. difficile toxins A and B in stools was determined using Immunocard Toxins A+B (Meridian Bioscience, USA). Stool samples were cultured on C. difficile selective agar (bioMérieux, France) and incubated for 48 h at 37 °C. Isolates were presumptively identified by characteristic colony morphology, smell, fluorescence under UV light and appearance on Gram stain. Species identification was performed using a commercial biochemical identification system (Rapid ID 32A, bioMérieux). Toxigenic cultures were not performed.

Isolates were tested against ampicillin, cefoxitin, cefotaxime, cefepime, chloramphenicol, tetracycline, erythromycin, clindamycin, rifampicin, metronidazole and vancomycin, using E-test strips (AB Biodisk, Sweden). These antibiotics are included in the panel used for determining the susceptibility of the anaerobes, according to the protocols of our laboratory. A suspension of C. difficile equivalent to 1 McFarland turbidity standard was spread on Brucella agar supplemented with haemin and vitamin K1 (BD Diagnostic Systems, USA), and incubated anaerobically at 37 °C. The minimum inhibitory concentration (MIC) was read after 24 h (except for clindamycin which was read after 48 h). Results were interpreted according to 2011 Clinical and Laboratory Standards Institute (CLSI) criteria [19]. The European Committee for Antimicrobial Susceptibility Testing (EUCAST 2012) criteria for susceptibility to vancomycin were used (susceptible isolates with MIC ⩽2 μg/ml) [20], since CLSI did not provide breakpoints for vancomycin. Reference strains (Bacteroides fragilis ATCC 25 285, B. thetaiotaomicron ATCC 29741 and C. difficile 700 057) were included as controls to monitor the antimicrobial susceptibility testing.

Definitions and outcomes

CDI diagnosis was deemed definitive in a patient with diarrhoea (>2 loose bowel movements per day), with or without other signs and symptoms compatible with CDI, and a C+T+ stool sample. A patient with diarrhoea and C+T– stool specimen was considered colonized by C. difficile. The severity of CDI was determined according to published criteria [Reference Bauer, Kuijper and van Dissel21]. In brief, CDI was considered severe when one or more of the following was present: fever (>38·5 °C) or rigor, signs of peritonitis or ileus, marked leucocytosis (>15 000/μl) or left shift (>20% band cells), pseudomembranous colitis, megacolon, findings of bowel wall thickening or pericolonic fat stranding in computed tomography, ascites, shock, acute respiratory distress syndrome, acute renal failure, multi-organ failure, and lactic acidosis not otherwise explained. Prior infection was considered any infection in the previous 3 months from the development of diarrhoea. Concurrent bacterial infection was defined as any infection developing 5 days prior to or after the development of diarrhoea. An episode of diarrhoea was considered hospital-acquired if it developed at least 2 days after admission.

Data analysis and statistical methods

The χ 2 test or Fisher's exact tests were used, as appropriate, for comparisons regarding categorical variables, whereas the t test was used in comparisons regarding continuous variables. The Shapiro–Wilk test was used for assessment of variable distribution. For non-normally distributed continuous variables, the Mann–Whitney or the Wilcoxon signed-rank test was used. A P value of <0·05 was regarded as indicative of statistical significance. When data were not available, patients were excluded from the analysis. The comparisons were performed with SPSS software v. 17.0 (SPPS Inc., USA).

RESULTS

Epidemiology

During the study period 293 941 patients were admitted in the hospital. Table 1 shows that the number of admitted patients varied in the studied years, as did the number of stool specimens. A total of 4379 patients with diarrhoea provided a stool specimen for suspected CDI during the 7-year period (2004–2010); the number of tests performed for possible CDI increased gradually with time (P = 0·048). In 263 (6%) tests C. difficile was grown. The frequency of C. difficile isolation in diarrhoeal stool specimens varied significantly each year (from 2·8% to 8·2%, P < 0·001, Fig. 1). The highest frequency was seen in the years 2005, 2008 and 2009 and the lowest in 2004 and 2010. Of specimens with positive culture for C. difficile, the toxin EIA was positive in 38 (14·4%). The frequency of CDI in culture-positive patients varied each year from 6·5% up to 22·6%; the low frequency observed each year did not allow further meaningful statistical analyses. The frequency of C+T+ stool samples tested for possible CDI in all samples during the study was 0·87%.

Fig. 1. Number of cultures performed for possible Clostridium difficile infection, number of positive cultures, and number of positive cultures with a simultaneous positive enzyme immunoassay through the study years.

Table 1. Frequency of colonization and infection with C. difficile during a 7-year period in the University Hospital of Heraklion

* Percentage refers to specimens cultured for C. difficile in all stool specimens.

Percentage refers to positive cultures in cultures performed for isolation of C. difficile.

Percentage refers to positive enzyme immunoassay in positive cultures for C. difficile.

Antimicrobial susceptibility

All isolates were resistant to cephalosporins. In addition, 86% of the isolates were resistant to clindamycin, 41% to erythromycin, 19% to rifampicin, 18% to tetracycline, and 5% to chloramphenicol. Intermediate susceptibility was found in 22%, 14%, and 8% of the isolates to erythromycin, tetracycline and chloramphenicol, respectively. The lower resistance was found to ampicillin (2%) and metronidazole (3%). None of the isolates was resistant to vancomycin, but three isolates had an MIC of 2 μg/ml.

Patient characteristics

The medical records of 20/38 patients with C+T+ stool samples, for whom data was available, were retrieved and comprised group 1. These patients were matched with 40 patients each in groups 2 and 3, according to gender, department of admission and year. The characteristics of the included patients are presented in Table 2.

Table 2. Characteristics and outcomes of patients included in the study

ACEIs, Angiotensin converting enzyme inhibitors; ARBs, angiotensin receptor blockers; ARF, acute renal failure; CI, confidence interval; CNS, central nervous system; CVVHF, continuous veno-venous haemofiltration; OR, odds ratio; PPIs, proton pump inhibitors; TNF, tumour necrosis factor.

* Two intra-abdominal infections, one respiratory tract infection

Three respiratory tract infections, seven urinary tract infections, two intra-abdominal infections, one candidaemia.

Eight respiratory tract infections, two urinary tract infections, three intra-abdominal infections (one gastroenteritis), nine other sites of unknown origin.

§ Data regarding the date of culture was not collected.

|| Denotes that difference exists or not between groups, not for specific comparisons.

No significant differences were observed between patients in the three groups with regard to age, comorbidity and prior hospitalization. Patients in groups 1 and 2 received more antibiotics (65% and 55% vs. 32·5%, P = 0·03) and had more documented infections compared to patients in group 3 (35% and 37·5% vs. 12·5%, P = 0·03) prior to the development of diarrhoea. Patients in group 1 received more commonly parenteral nutrition (35% vs. 15% and 5%, P = 0·009), while this difference between groups 2 and 3 did not reach statistical significance (P = 0·08). Patients in group 1 also received fewer proton pump inhibitors (PPIs) before the development of diarrhoea (35% vs. 62·5% and 70%, P = 0·03). Nasogastric tubes (27.5% vs. 5% and 10%, respectively, P = 0·03) and use of angiotensin-converting enzyme inhibitors or angiotensin receptor blockers (55% vs. 25% and 27.5%, respectively, P = 0·02) were more common in patients in group 2 compared to patients in groups 1 and 3.

Patients in groups 1 and 2 had fewer concurrent bacterial infections compared to those in group 3 (15% and 32·5% vs. 55%, respectively, P = 0·007), while this difference between groups 1 and 2 was not statistically significant (P = 0·15). The concurrent infections in patients in group 3 developed mainly after the emergence of diarrhoea. Fever was less common in group 1 than in groups 2 and 3 (10% vs. 55% and 37·5%, respectively, P = 0·003) at the time of positive culture. The difference in cases of hospital-acquired diarrhoea between groups 1 and 2 was not significant (P = 0·14).

More patients in groups 1 and 2 received metronidazole than patients in group 3 (58·8%, 60%, 28·2%, respectively, P = 0·012); this difference was not significant for vancomycin, which was administered in fewer patients. In addition, there was no significant difference between groups 1 and 2 regarding metronidazole or vancomycin administration. Overall, there were no differences in concomitant antibiotic treatment in the three groups. β-lactam/β-lactamase inhibitors were more commonly administered along with metronidazole or vancomycin in group 1, while linezolid was more commonly administered in group 2.

Outcomes

Six (30%) of the patients in group 1 had severe disease, three of whom had evidence of pseudomembranous colitis on colonoscopy. Overall, two (10%) patients in group 1 required treatment changes because diarrhoea persisted; after treatment the diarrhoea resolved. Two patients in group 1 died. None of the deaths was directly attributed to CDI. No significant difference regarding in-hospital mortality was found between the compared groups: 2/20 (10%) in group 1, 5/40 (12·5%) in group 2, and 2/40 (5%) in group 3 (P = 0·49). Duration of hospitalization was also similar in the three groups (median 9·5, 8·5 and 9 days, respectively).

DISCUSSION

The present study showed that C. difficile was infrequently isolated in patients with diarrhoea in a tertiary Greek hospital (6% of specimens sent for possible CDI). Additionally, in patients with cultures positive for C. difficile, 14% had also a positive-toxin EIA. Thus, the definition for CDI was met in less than 1% of patients with diarrhoea tested for C. difficile. If we consider that the sensitivity of the EIA used for toxin identification in this study is 84–92% [Reference Planche22], then we may hypothesize that the true frequency of CDI in patients with diarrhoea is between 0·95% and 1·03%. None of the observed deaths was directly attributed to CDI. In addition, we found that C+T+ and C+T– patients had more documented infections and received more antibiotics prior the development of diarrhoea than the control group (C–T–). These patients had more concurrent infections but fewer prior infections. This means that most of patients in group 3 developed infections after the emergence of diarrhoea. In addition, due to the retrospective nature of the study, we could not explore whether the diarrhoea in C–T– patients was associated with antibiotics, underlying diseases or concurrent infections. There was no difference between C+T+ patients and C+T– patients regarding prior hospitalization, prior antibiotic treatment and prior infections. Patients in both groups received similar treatment.

In this study we could not address whether the low incidence in definitive CDI was true or was due to unconfirmed cases. A hint towards the second assumption may be the similar therapeutic approach to C+T+ and C+T– cases. In addition, the small but significant increase in the number of ordered tests for CDI during the study period possibly denotes increasing awareness of the burden of the disease in the later years. It should also be noted that in Greece it is not required to test all patients with diarrhoea for CDI, which might also contribute to the low CDI frequency in this study. Under-diagnosis or misdiagnosis is commonly reported for several diseases [Reference Falagas, Vardakas and Vergidis23]. Recently, the EUCLID study showed that 23% of CDI cases across 20 European countries, including Greece, were not diagnosed. For Greece the reported undiagnosed cases was as high as 60%. However, only five CDI cases were reported from Greece and the number of missed cases in those not tested at hospitals was similar to the number in all participating European countries [3/56 (5·5%) and 148/2716 (5·4%), respectively] [Reference Davies10].

Lack of awareness regarding the incidence and burden of CDI has been documented in an international survey, which showed that it is higher for European than American authors [Reference Mavros24]. We are not familiar with data showing that Greek clinicians may be less aware of the disease than their European colleagues. In the EUCLID study the percentage of samples tested at the participating Greek hospitals for CDI among those submitted for testing in the reference laboratory (52·5%) was lower than the mean of all European countries participating in the survey (62·8%) [Reference Davies10]. This may be an indirect way denoting decreased awareness in Greek doctors, but the limitations of the study should be considered before any firm conclusion is made. Finally, older studies have shown that higher CDI incidence correlates with higher testing rates [Reference Bauer25, Reference Brown, Fisman and Daneman26] which may explain the low testing rate in Greek hospitals.

According to a hospital-based survey in Europe the incidence of CDI cases per 10000 patient-days in 2008 ranged from as low as 2·1/10 000 patient-days per hospital in France to as high as 19·1/10 000 in Finland. The reported figure for Greece was 3·7/10 000 (95% confidence interval 1·3–4·9), i.e only Belgium, France, Portugal and Italy had a lower CDI incidence in Western Europe countries [Reference Bauer25]. This data was verified in the ECDC survey for hospital-acquired infections (HAIs) for the period 2011–2012, in which gastrointestinal infections accounted for <5% of the HAIs in Greece (55 hospitals), and CDI for <0·5% of HAIs [27]. Although the studies were not performed to compare the incidence of CDI across countries, the outcomes of these surveys are in agreement with this study regarding the low prevalence of CDI in Greece in general and in Crete in particular.

This is the first study from Greece regarding epidemiology of C. difficile and clinical characteristics of patients with CDI. In a previous study at the University Hospital of Heraklion (1995–1999) the frequency of CDI in specimens tested for C. difficile and all stool specimens was 14·4% and 0·92%, respectively [Reference Maraki28]. Although a variation in the frequency of C. difficile isolation and CDI during the study period was observed, the data suggests that outbreaks did not occur. The contribution of confounding factors to this variation was not studied further. These observations are in contrast to reports from North America and several European countries that documented several outbreaks and an overall increase in the incidence of CDI. In general, CDI seems to be less common in Greece than in several countries of Western Europe [Reference Bauer25] and North America [Reference Cecil29, Reference Kuntz30].

Prior antibiotic treatment and hospitalization are the most important risk factors for CDI. In this study more patients with C+T+ and C+T– specimens received antibiotics prior to the development of diarrhoea than C–T– patients, while prior hospitalization was similar between all three groups. On the other hand, prior use of PPIs, which has arisen as a significant risk factor for CDI [Reference Deshpande31Reference Tleyjeh34], was more common in C+T– and C–T– patients. We cannot hypothesize that the relatively low frequency of CDI in Crete can be attributed to low antibiotic use, since antibiotic consumption in Greece for both inpatients and outpatients is high [Reference Goossens35]. Due to the nature of the study and the small sample size, we were also not able to detect any differences between groups regarding specific types of antibiotics. On the other hand, we can assume that this low frequency of CDI could be attributed to the different types of strains that are prevalent in Greece. For example, the prevalence of the BI/NAP1/027 strain that caused severe outbreaks in North America and some European countries is very low in Greece [Reference Bauer25, Reference Goossens35Reference Brazier, Patel and Pearson37]. Finally, it is possible that diarrhoea was due to antibiotic administration for concomitant infections in some of the patients in groups 2 and 3. This assumption could not be explored further due to the retrospective nature of this study.

The diagnosis of CDI depends on a combination of symptoms, signs and diagnostic tests. If EIA is used, up to 25% of cases can be misdiagnosed and guidelines support that the approach to any suspected case with negative-toxin EIA should be individualized based on risk factors and clinical suspicion [Reference Cohen11]. The presence of common risk factors for CDI in patients with diarrhoea and C+T– stool samples in an institution where the diagnosis of CDI depends on EIA for toxin identification may explain the high rate of treatment administered for CDI in possibly colonized patients. Furthermore, in settings with low frequency of CDI, such in the University Hospital of Heraklion, the positive predictive value of the EIA becomes even lower, which may have also contributed to overtreatment of C+T– patients.

In-hospital all-cause mortality was 10% for C+T+ patients. Mortality in patients with CDI varied both between published studies and different hospitals or regions in international multicentre studies [Reference Bauer25, Reference Loo38, Reference Pop-Vicas39]. In the present study there was no difference in mortality between C+T+ and C+T– patients, but the sample size was small. Other studies that compared symptomatic C+T+ and C+T– patients reported conflicting results. A study in Taiwan reported that no significant difference in mortality was observed between C+T+ and C+T– patients (potential for toxin production was tested by PCR) [40], while another study from the United States reported that both mortality and CDI-related complications were higher in patients with a toxin-positive test [41].

The duration of hospitalization increases in patients with nosocomial infections, including CDI [42]. In this study, there was no significant difference in hospital stay between the compared groups. However, more concurrent infections were noted in groups 2 and 3, which might have been among the factors increasing the duration of hospitalization in these groups. On the other hand, most of patients with definitive CDI did not have severe disease. Finally, due to low sensitivity of EIAs for CDI diagnosis, it is possible that several C+T– patients (the sensitivity of the EIA used in this study according to a systematic review was 84–92%) were false-negative [Reference Cohen11, Reference Surawicz12, Reference Planche22].

Almost all C. difficile isolates were susceptible to vancomycin and metronidazole. Three isolates with a vancomycin MIC of 2 μg/ml were isolated. Vancomycin-resistant isolates have not been reported in the literature, possibly because breakpoints for C. difficile were not available in the previous years. Several studies on C. difficile susceptibility used an MIC ⩾16 μg/ml as a cut-off point for vancomycin. However, according to the 2013 EUCAST breakpoints several isolates could be listed as having reduced susceptibility to vancomycin in comparison to wild-type strains. On the other hand, several metronidazole-resistant isolates have been reported, but the rate of resistance did not seem to increase over time [43–45].

The limitations of this study include its retrospective design, the small sample size and the fact that it was performed in one institution over a 7-year period. The fact that the study was performed in a single institution may affect its external validity. However, to our knowledge, this is the first study from Greece that sought to describe the characteristics of patients and outcomes of CDIs. In addition, the outcomes of the study are limited by the use of a less sensitive test for CDI diagnosis (i.e. EIAs instead of toxigenic cultures or nucleic acid amplification tests), which might have led to underestimation of the magnitude of the disease in Crete. In this context, the characteristics and outcomes of included patients might have been influenced by the decision not to exclude patients with concurrent infections. However, the resolution time of these infections, which was not expected to be short, could not be accurately estimated, since it depended on several factors including host and pathogen characteristics. Finally, the difference in hospital-acquired episodes of diarrhoea, which could have affected the severity of CDI and the outcomes of patients [46, 47] was not significant between C+T+ and C+T– patients.

In conclusion, in this study colonization with C. difficile was uncommon. A minority of the cases fulfilled the criteria for the diagnosis of CDI. In addition, the risk factors and outcomes of C+T+ and C+T– patients were similar. Susceptibility of C. difficile was similar to that found in other studies. Further multicentre studies are warranted to delineate the characteristics of CDI in Greece.

ACKNOWLEDGEMENTS

None.

DECLARATION OF INTEREST

None.

References

REFERENCES

1. CDC. Antibiotic resistance threats in the United States, 2013.Google Scholar
2. Bignardi, GE. Risk factors for Clostridium difficile infection. Journal of Hospital Infection 1998; 40: 115.Google Scholar
3. Wistrom, J, et al. Frequency of antibiotic-associated diarrhoea in 2462 antibiotic-treated hospitalized patients: a prospective study. Journal of Antimicrobial Chemotherapy 2001; 47: 4350.Google Scholar
4. Aronsson, B, Mollby, R, Nord, CE. Antimicrobial agents and Clostridium difficile in acute enteric disease: epidemiological data from Sweden, 1980–1982. Journal of Infectious Diseases 1985; 151: 476481.Google Scholar
5. McFarland, LV, et al. Nosocomial acquisition of Clostridium difficile infection. New England Journal of Medicine 1989; 320: 204210.CrossRefGoogle ScholarPubMed
6. Karlstrom, O, et al. A prospective nationwide study of Clostridium difficile-associated diarrhea in Sweden. The Swedish C. difficile Study Group. Clinical Infectious Diseases 1998; 26: 141145.Google Scholar
7. Vardakas, KZ, et al. Risk factors for development of Clostridium difficile infection due to BI/NAP1/027 strain: a meta-analysis. International Journal of Infectious Diseases 2012; 16: e768773.Google Scholar
8. Bartlett, JG. Narrative review: the new epidemic of Clostridium difficile-associated enteric disease. Annals of Internal Medicine 2006; 145: 758764.Google Scholar
9. Jones, AM, Kuijper, EJ, Wilcox, MH. Clostridium difficile: a European perspective. Journal of Infection 2013; 66: 115128.CrossRefGoogle ScholarPubMed
10. Davies, KA, et al. Underdiagnosis of Clostridium difficile across Europe: the European, multicentre, prospective, biannual, point-prevalence study of Clostridium difficile infection in hospitalised patients with diarrhoea (EUCLID). Lancet Infectious Diseases 2014; 14: 12081219.Google Scholar
11. Cohen, SH, et al. Clinical practice guidelines for Clostridium difficile infection in adults: 2010 update by the society for healthcare epidemiology of America (SHEA) and the infectious diseases society of America (IDSA). Infection Control and Hospital Epidemiology 2010; 31: 431455.Google Scholar
12. Surawicz, CM, et al. Guidelines for diagnosis, treatment, and prevention of Clostridium difficile infections. American Journal of Gastroenterology 2013; 108: 478498; quiz 99.Google Scholar
13. Brown, KA, et al. The magnitude and duration of Clostridium difficile infection risk associated with antibiotic therapy: a hospital cohort study. PLoS ONE 2014; 9: e105454.Google Scholar
14. Hensgens, MP, et al. Time interval of increased risk for Clostridium difficile infection after exposure to antibiotics. Journal of Antimicrobial Chemotherapy 2012; 67: 742748.Google Scholar
15. Naggie, S, et al. A case-control study of community-associated Clostridium difficile infection: no role for proton pump inhibitors. American Journal of Medicine 2011; 124: 276.CrossRefGoogle ScholarPubMed
16. Takahashi, M, Mori, N, Bito, S. Multi-institution case-control and cohort study of risk factors for the development and mortality of Clostridium difficile infections in Japan. BMJ Open 2014; 4: e005665.Google Scholar
17. Modi, C, et al. Does the handling time of unrefrigerated human fecal specimens impact the detection of Clostridium difficile toxins in a hospital setting? Indian Journal of Gastroenterology 2010; 29: 157161.Google Scholar
18. Shim, JK, et al. Primary symptomless colonisation by Clostridium difficile and decreased risk of subsequent diarrhoea. Lancet 1998; 351: 633636.Google Scholar
19. Clinical and Laboratory Standards Institute. Performance standards for antimicrobial susceptibility testing; Twenty-first informational supplement. CLSI Document M100-S21 Wayne, PA, USA 2011.Google Scholar
20. (EUCAST) ECoAST. Breakpoint tables for interpretation of MICs and zone diameters, 2012 (http://www.eucast.org/fileadmin/src/media/PDFs/EUCAST_files/Disk_test_documents/EUCAST_breakpoints_v_2.0_111130.pdf). Accessed 16 April 2015.Google Scholar
21. Bauer, MP, Kuijper, EJ, van Dissel, JT. European Society of Clinical Microbiology and Infectious Diseases (ESCMID): treatment guidance document for Clostridium difficile infection (CDI). Clinical Microbiology and Infection 2009; 15: 10671079.Google Scholar
22. Planche, T, et al. Diagnosis of Clostridium difficile infection by toxin detection kits: a systematic review. Lancet Infectious Diseases 2008; 8: 777784.CrossRefGoogle ScholarPubMed
23. Falagas, ME, Vardakas, KZ, Vergidis, PI. Under-diagnosis of common chronic diseases: prevalence and impact on human health. International Journal of Clinical Practice 2007; 61: 15691579.Google Scholar
24. Mavros, MN, et al. Underestimation of Clostridium difficile infection among clinicians: an international survey. European Journal of Clinical Microbiology and Infectious Diseases 2012; 31: 24392444.Google Scholar
25. Bauer, MP, et al. Clostridium difficile infection in Europe: a hospital-based survey. Lancet 2011; 377: 6373.Google Scholar
26. Brown, KA, Fisman, DN, Daneman, N. Hospital Clostridium difficile infection testing rates: is ‘don't ask, don't tell’ at play? Infection Control Hospital Epidemiology 2014; 35: 911912.Google Scholar
27. ECDC. Point prevalence survey of healthcare-associated infections and antimicrobial use in European acute care hospitals, 2011–2012 (http://ecdc.europa.eu/en/publications/Publications/healthcare-associated-infections-antimicrobial-use-PPS.pdf). Accessed 16 April 2015.Google Scholar
28. Maraki, S, et al. A 5-year study of the bacterial pathogens associated with acute diarrhoea on the island of Crete, Greece, and their resistance to antibiotics. European Journal of Epidemiology 2003; 18: 8590.Google Scholar
29. Cecil, JA. Clostridium difficile: changing epidemiology, treatment and infection prevention measures. Current Infectious Disease Reports 2012; 14: 612619.Google Scholar
30. Kuntz, JL, et al. Epidemiology and healthcare costs of incident Clostridium difficile infections identified in the outpatient healthcare setting. Infection Control and Hospital Epidemiology 2012; 33: 10311038.Google Scholar
31. Deshpande, A, et al. Association between proton pump inhibitor therapy and Clostridium difficile infection in a meta-analysis. Clinical Gastroenterology and Hepatology 2012; 10: 225233.CrossRefGoogle ScholarPubMed
32. Janarthanan, S, et al. Clostridium difficile-associated diarrhea and proton pump inhibitor therapy: a meta-analysis. American Journal of Gastroenterology 2012; 107: 10011010.Google Scholar
33. Kwok, CS, et al. Risk of Clostridium difficile infection with acid suppressing drugs and antibiotics: meta-analysis. American Journal Gastroenterology 2012; 107: 10111019.Google Scholar
34. Tleyjeh, IM, et al. Association between proton pump inhibitor therapy and Clostridium difficile infection: a contemporary systematic review and meta-analysis. PLoS ONE 2012; 7: e50836.Google Scholar
35. Goossens, H, et al. Outpatient antibiotic use in Europe and association with resistance: a cross-national database study. Lancet 2005; 365: 579587.Google Scholar
36. Barbut, F, et al. Prospective study of Clostridium difficile infections in Europe with phenotypic and genotypic characterisation of the isolates. Clinical Microbiology and Infection 2007; 13: 10481057.Google Scholar
37. Brazier, JS, Patel, B, Pearson, A. Distribution of Clostridium difficile PCR ribotype 027 in British hospitals. Eurosurveillance 2007; 12(4): E0704262.Google Scholar
38. Loo, VG, et al. A predominantly clonal multi-institutional outbreak of Clostridium difficile-associated diarrhea with high morbidity and mortality. New England Journal of Medicine 2005; 353: 2442–2429.Google Scholar
39. Pop-Vicas, A, et al. Empirical antimicrobial prescriptions in patients with Clostridium difficile infection at hospital admission and impact on clinical outcome. Infection Control and Hospital Epidemiology 2012; 33: 11011106.Google Scholar
40. Lin, YC, et al. Characteristics of patients with Clostridium difficile infection in Taiwan. Epidemiology and Infectious 2013; 141: 20312038.Google Scholar
41. Polage, CR, et al. Outcomes in patients tested for Clostridium difficile toxins. Diagnosis Microbiology and Infectious Diseases 2012; 74: 369373.Google Scholar
42. Eckmann, C, et al. Increased hospital length of stay attributable to Clostridium difficile infection in patients with four co-morbidities: an analysis of hospital episode statistics in four European countries. European Journal of Health Economics 2013; 14: 835846.Google Scholar
43. Liao, CH, et al. Characterizations of clinical isolates of clostridium difficile by toxin genotypes and by susceptibility to 12 antimicrobial agents, including fidaxomicin (OPT-80) and rifaximin: a multicenter study in Taiwan. Antimicrobial Agents and Chemotherapy 2012; 56: 39433949.CrossRefGoogle ScholarPubMed
44. Pelaez, T, et al. Reassessment of Clostridium difficile susceptibility to metronidazole and vancomycin. Antimicrobial Agents and Chemotherapy 2002; 46: 16471650.CrossRefGoogle ScholarPubMed
45. Pituch, H, et al. Characterization and antimicrobial susceptibility of Clostridium difficile strains isolated from adult patients with diarrhoea hospitalized in two university hospitals in Poland, 2004–2006. Journal of Medical Microbiology 2011; 60: 12001205.Google Scholar
46. Delate, T, et al. Ambulatory-treated Clostridium difficile infection: a comparison of community-acquired vs. nosocomial infection. Epidemiology and Infection 2015; 143: 12251235.Google Scholar
47. Taori, SK, et al. A prospective study of community-associated Clostridium difficile infections: the role of antibiotics and co-infections. Journal of Infection 2014; 69: 134144.Google Scholar
Figure 0

Fig. 1. Number of cultures performed for possible Clostridium difficile infection, number of positive cultures, and number of positive cultures with a simultaneous positive enzyme immunoassay through the study years.

Figure 1

Table 1. Frequency of colonization and infection with C. difficile during a 7-year period in the University Hospital of Heraklion

Figure 2

Table 2. Characteristics and outcomes of patients included in the study