Literature DB >> 25186155

Multi-institution case-control and cohort study of risk factors for the development and mortality of Clostridium difficile infections in Japan.

Masahiko Takahashi1, Nobuaki Mori2, Seiji Bito2.   

Abstract

OBJECTIVE: To examine risk factors for Clostridium difficile infection (CDI) morbidity and mortality in Japan.
DESIGN: Multimethod investigation including a case-control study and cohort study.
SETTING: 47 participating facilities of the National Hospital Organization (NHO). PARTICIPANTS: 1026 patients with CDI and 878 patients in the control group over the age of 18 years admitted to the subject NHO facilities from November 2010 to October 2011. MAIN OUTCOME MEASURES: In a case-control study, we identify risk factors for CDI development. Next, in a cohort study, we identify risk factors for all-cause mortality within 30 days following CDI onset.
RESULTS: A total of 1026 cases of CDI meeting the definitions of this investigation were identified, encompassing 878 patients at 42 of the 47 subject facilities. In the case-control study, we identified, compared with no antibiotics use, use of first-generation and second-generation cephem antibiotics (OR 1.44; 95% CI 1.10 to 1.87), use of third-generation and fourth-generation cephem antibiotics (OR 1.86; 95% CI 1.48 to 2.33) and use of carbapenem antibiotics (OR 1.87; 95% CI 1.44 to 2.42) the risk factors for CDI development. However, use of penicillin was not identified as a risk factor. In the cohort study, sufficient data for analysis was available for 924 CDI cases; 102 of them (11.0%) resulted in death within 30 days of CDI onset. Compared with no anti-CDI drug use, use of vancomycin was associated with reduced risk of mortality (OR 0.43; 95% CI 0.25 to 0.75) whereas metronidazole was not.
CONCLUSIONS: The findings mirror those of previous studies from Europe and North America, identifying the administration of broad-spectrum antibiotics as a risk factor for CDI development. The use of vancomycin is associated with a decreased risk of mortality. Published by the BMJ Publishing Group Limited. For permission to use (where not already granted under a licence) please go to http://group.bmj.com/group/rights-licensing/permissions.

Entities:  

Keywords:  EPIDEMIOLOGY

Mesh:

Year:  2014        PMID: 25186155      PMCID: PMC4158213          DOI: 10.1136/bmjopen-2014-005665

Source DB:  PubMed          Journal:  BMJ Open        ISSN: 2044-6055            Impact factor:   2.692


This study is the first large-scale nationwide multicentre Clostridium difficile infection (CDI) investigation in Japan. Most of the epidemiological data of CDI have been limited to North America and Europe. Our data plays a role of completion of the missing data in Asia. Use of β-lactam antibiotics, except penicillin, was the risk factor for CDI development in the first Japanese large-scale investigation. Appropriate antibiotic use is necessary in order to control the incidence of CDI. Vancomycin administration for CDI was associated with decreased risk of mortality. Although the cost-effective treatment of CDI may necessitate the appropriate use of the less-expensive metronidazole, vancomycin should be administered in cases expected to become severe or life-threatening. The limitation of this study is the low number of registered CDI cases from quite a few participants and the existence of many confounding factors.

Introduction

Clostridium difficile is the main causative pathogen of antibiotic-associated colitis. Since 2000, outbreaks of BI/NAP1/027 strain C. difficile infections (CDI) have been reported in North American and European hospitals and elder care facilities. The numbers of patients with CDI as well as severe and intractable cases have increased simultaneously. Consequently, epidemiological surveillance systems have been set up in several countries. However, very few countries have implemented such national-level measures. CDI epidemiological studies in Japan to date have been based on scattered data from individual medical facilities. Consequently, the phenomenon of CDI in Japan is not sufficiently understood.1–9 Previous studies report that antibiotic administration is the largest risk factor for CDI development. Other risk factors include advanced age and proton pump inhibitor use.10 11 CDI mortality rates differ depending on the presence or absence of an outbreak as well as the relevant definitions of epidemiological surveillance. Furthermore, it is especially difficult to objectively determine precise CDI-related mortality rates because of factors such as underlying patient conditions.12 This report documents a case–control study of CDI in Japan based on data from the National Hospital Organization (NHO), which is Japan's largest group of hospitals and includes facilities located nationwide. In addition, a cohort investigation of mortality among CDI cases was conducted.

Materials and methods

Research design

This multicenter study is a collaborative effort of the 47 facilities that met our facility standards from among the 143 NHO facilities in Japan. The study was planned as a part of the NHO's ‘National Hospital Organization Multi-Center Clinical Research for Evidence-Based Medicine’ project. This study was conducted with the approval of the Central Ethics Committee of the NHO. The CDI group in this study included, in principal, all newly diagnosed CDI cases among patients hospitalised from 1 November 2010 to 31 October 2011; cases were registered continuously. In the case–control study of CDI development, CDI cases newly diagnosed during the investigation period were registered in the CDI group; meanwhile, age-matched, sex-matched and underlying disease-matched patients in the same facilities were registered to the control group. In addition, a prospective cohort study of CDI group patients who died within 30 days of CDI development was conducted. This investigation is a multimethod study using standard case–control and cohort study designs.

Definition of CDI

CDI was defined as the presence of any gastrointestinal symptoms accompanied by a clinical suspicion of CDI as well as a positive result for C. difficile toxins from rapid stool testing or C. difficile isolation from stool cultures or both. Final determinations were carried out by the attending physician or the facility's infection control team. Enzyme immunoassay testing kits for C. difficile toxins A and B were used as the rapid testing method (Immunocard CD toxin A&B, Meridian Bioscience Inc, Cincinnati, Ohio, USA; C. Diff Quik Chek, Alere Medical Co., Ltd, Tokyo, Japan; Tox A/B Quik Chek, Nissui Pharmaceutical Co., Ltd, Tokyo, Japan; X/pect Toxin A/B, Kanto Chemical Co., Ltd, Tokyo, Japan). Cycloserine-cefoxitin mannitol agar (Nissuipure-to CCMA baichi EX, Nissui Pharmaceutical Co., Ltd, Tokyo, Japan), cycloserine-cefoxitin fructose agar (CCFA baichi, Becton, Dickinson and Company Co., Ltd, Tokyo, Japan; Poamedhia CCFA kairyoubaichi, Eiken Chemical Co., Ltd, Tokyo, Japan), and brucella HK agar (RS) (brucella HK agar (RS), Kyokuto Pharmaceutical Industrial Co., Ltd, Tokyo, Japan) were used in the C. difficile isolation cultures.

Case–control study of CDI development

No additional information besides age, sex and date of diagnosis was gathered when new patients were registered in the CDI group. After the end of the study registration period, additional patient clinical data were gathered, including clinical department, underlying diseases, dates of hospital admittance and discharge and medical treatments administered for ≥3 days between admittance and CDI development. Recorded medical treatments included disruption of feeding, parenteral nutrition, enteral feeding, surgery with general anaesthetics, cancer drugs, antibiotics (excluding external-use antibiotics) and proton pump inhibitors (oral or intravenous). We also collected data regarding the use of intravenous antibiotics including penicillins, first-generation and second-generation cephems, third-generation and fourth-generation cephems, carbapenems, fluoroquinolones, clindamycin/lincomycin, anti-methicillin-resistant Staphylococcus aureus (MRSA) drugs and antifungal drugs, and others. Finally, we collected data regarding the use of oral antibiotics including cephems, fluoroquinolones and others. The control group was divided into three subgroups according to age: ≤74, 75–84 and ≥85 years. Control patients were selected from among patients at the same facilities who did not contract CDI and were matched to the patients with CDI with respect to age, sex, underlying disease and hospital stays of ≥5 days within the same month as a counterpart's CDI diagnosis. The control group cases were selected regardless of gastrointestinal symptoms such as diarrhoea. We strove to ensure that the CDI and control groups were as matched as possible. The same data were collected from both groups. The control patients were registered and relevant patient data were gathered after the end of the CDI group study registration period.

Cohort study on mortality among patients with CDI

The prospective cohort study of registered CDI group patients from the case–control study examined all-cause mortality within 30 days as the primary outcome. If the registered patients were discharged within 30 days, clinical outcomes were not investigated after discharge in this study. The following data were collected: whether the underlying disease was infectious and whether comorbidities were related to malignant tumours (ie, gastrointestinal, respiratory, blood/lymph, gynaecological, urological, or other tumours including cancers of the ear, nose and throat), diabetes, renal failure, heart failure, respiratory failure or cirrhosis. In the cohort study, the definitions of severe complications were gastrointestinal perforations, toxic megacolon and CDI-related surgeries. Severe complications and the all-cause in-hospital mortality of patients within 30 days of CDI development were recorded. We also considered patient nutritional status including whether the patient was subjected to parenteral nutrition or enteral feeding as well as serum albumin levels measured within 30 days prior to CDI development (ie, ≥3.5, 2.7–3.4 or ≤2.6 g/dL). In addition, we examined CDI treatment factors including whether antibiotic use was halted, probiotic use and the type of anti-CDI drugs used (ie, vancomycin and metronidazole). All patient data for the cohort investigation were collected after the end of the registration period.

Data management and statistical analysis

All input data were verified by a designated study data manager. Data from each facility were entered directly into a web-based case report form and subsequently encrypted for security. The data management centre was responsible for confirming any missing data and directly inquiring of the relevant facilities as necessary. During the case–control phase of the study, CDI development was treated as the outcome and ORs were calculated from bivariate analysis comparing the use of different types of antibiotics as outcome causes. For each type of antibiotic, those used for ≥3 days were designated ‘used’ while all others were designated ‘unused.’ A dummy variable regression was subsequently performed. Statistical significance in the bivariate analysis was tested by the χ2 test. Logistic regression analysis was performed using the individual patient characteristics and other assumed confounding variables as independent variables. The 95% CIs for each variable were used to determine the relationships between the various predictive variables and outcomes. The clinical outcome of mortality within 30 days was set as the dependent variable and the relationships among the underlying diseases, nutritional status, probiotic use and types of anti-CDI drugs used were subjected to bivariate and multivariate analyses. Like the case–control phase, bivariate analysis was conducted using the χ2 test and the multivariate analysis was conducted using logistic regression. The significance level for all analyses was set at p<0.05. We used IBM SPSS Statistics V.20 for statistical analysis.

Ethics committee approval and informed consent

This study was conducted with the approval of the Central Ethics Committee of the NHO. In principle, individual patients who met the inclusion criteria were not given direct explanations of the study and no direct consent was sought. Information about the study was made public through postings on facility notice boards and webpages. Patients and their representative agents had the right to refuse study participation.

Results

Participating facilities

Among the 47 facilities, a total of 1026 CDI cases were registered at 42 facilities throughout Japan, from Hokkaido in the north to Okinawa in the south. No CDI cases were recorded at the remaining 5 participating facilities, more than 280 patient beds (table 1).
Table 1

Number of registered cases of CDI and characteristics of hospitals included in the surveillance of CDI in the NHO (from November 2010 through October 2011)

RegionNumber of patient bedsNumber of patient daysNumber of patients registered
30-day all-cause mortality in CDI groupLaboratory tests used
CDI groupControl groupEIA for toxins A and BCulture
Hokkaido, Tohoku698208 38855553 (5%)++
500150 60342321 (2%)++
31082 68728192 (7%)+
31072 14417122 (12%)++
22076 539110 (0%)++
Kanto, Koshinetsu780238 42012412115 (12%)++
455151 62236363 (8%)+
560158 92135304 (11%)++
24360 15534346 (18%)++
350109 02522224 (18%)++
500159 43215141 (7%)+
510166 668440 (0%)+
380109 482320 (0%)++
455132 483310 (0%)+
429104 80200– (–)+
Tokai, Hokuriku430195 209422610 (24%)++
28056 47500– (–)+
Kinki316103 67724221 (4%)+
22047 35423231 (4%)++
600191 04120203 (15%)+
49470 45515156 (40%)++
520145 2991391 (8%)+
500142 409661 (17%)+
18055 721331 (33%)+
346118 014220 (0%)+
37094 72200– (–)+
Chugoku, Shikoku38899 72854495 (9%)++
700211 59549484 (8%)++
506119 3563381 (3%)++
400122 84630305 (17%)+
401108 3032602 (8%)++
25080 55821210 (0%)+
424128 86812100 (0%)+
365125 64510103 (30%)++
30087 06100– (–)+
45966 45400– (–)+
Kyushu, Okinawa424137 82746225 (11%)+
702239 44838371 (3%)+
19054 03833319 (27%)+
550189 41727263 (11%)+
28558 18525253 (12%)+
500140 37124232 (8%)+
30090 45714144 (29%)+
320103 315651 (17%)++
28079 580442 (50%)+
366112 906440 (0%)+
36889 195322 (67%)+
Total19 4865 592 0771026878117 (11%)4520

CDI, Clostridium difficile infection; EIA, enzyme immunoassay; NHO, National Hospital Organization.

Number of registered cases of CDI and characteristics of hospitals included in the surveillance of CDI in the NHO (from November 2010 through October 2011) CDI, Clostridium difficile infection; EIA, enzyme immunoassay; NHO, National Hospital Organization.

Patient grouping

A total of 1026 CDI cases that met the study definitions were recorded at the various institutions. We were unable to collect clinical records regarding medical treatments for 1 case; therefore, this case was excluded from the case–control study, and the remaining 1025 cases were analysed. A total of 962 patients (93.9%) developed CDI within 48 h after hospital admittance. The control group comprised 878 patients who were selected from 41 of the 42 facilities. In the cohort study, we analysed the data from 924 of the 1025 CDI group patients, excluding 101 patients with no available recent serum albumin level data (ie, within 30 days prior to CDI development (figure 1).
Figure 1

Study populations for the analysis of patients with Clostridium difficile infection (CDI) and controls.

Study populations for the analysis of patients with Clostridium difficile infection (CDI) and controls. The mean ages of the CDI and control groups were 75.8 and 75.4 years, respectively. The majority of the participants were of advanced age: 64% and 62.5% of the CDI and control group patients were aged ≥75 years, respectively. No significant differences were identified between the CDI and control groups in the univariate analysis of age distribution, sex differences or underlying disease (table 2). Among the medical treatments administered before CDI development, the following were significantly more prevalent in the CDI group than the control group: disruption of feeding (48.6% vs 30.4%), parenteral nutrition (24.7% vs 10.3%) and enteral feeding (24.8% vs 9.1%). Antibiotics were used prior to CDI development in 85.8% of cases. The use of all types of intravenous antibiotics was significantly more prevalent in the CDI group. No significant differences were identified between the two groups with respect to oral antibiotic use. Meanwhile, in the univariate analysis, proton pump inhibitor use was significantly more prevalent in the CDI group than the control group (40.3% vs 31.2%).
Table 2

Univariate and multivariate analyses of CDI development-related risk factors

CharacteristicsCDI groupControl groupUnivariate analysisMultivariate analysis
Per centPer centp ValueOR (95% CI)p Value
All(1025)(878)
Age (years)
 ≤7436.0 (369)37.5 (329)0.67Ref.
 75–8437.0 (379)37.2 (327)1.02 (0.81 to 1.28)0.88
 ≥8527.0 (277)25.3 (222)1.09 (0.84 to 1.41)0.52
Sex
 Women43.0 (441)42.6 (374)0.851.11 (0.91 to 1.36)0.28
Underlying disease
 Respiratory infections15.8 (162)17.5 (154)0.14
 Other infectious conditions16.9 (173)14.2 (125)
 Gastrointestinal conditions8.1 (83)9.0 (79)
 Malignant tumours22.6 (232)24.3 (213)
 Cardiovascular conditions7.7 (79)9.8 (86)
 Other conditions28.9 (296)25.2 (221)
Medical treatment prior to CDI development
 Disruption of feeding48.6 (498)30.4 (267)<0.0011.31 (1.05 to 1.64)<0.05
 Parenteral nutrition24.7 (253)10.3 (90)<0.0011.63 (1.21 to 2.20)<0.01
 Enteral feeding24.8 (254)9.1 (80)<0.0012.16 (1.60 to 2.92)<0.001
 Surgery with general anaesthetic18.2 (187)15.6 (137)0.140.89 (0.67 to 1.18)0.41
 Cancer drugs11.3 (116)14.2 (125)0.060.86 (0.62 to 1.18)0.35
 Antibiotics use85.8 (879)66.5 (584)<0.001
Intravenous
 Penicillins27.6 (283)21.0 (184)<0.011.04 (0.82 to 1.33)0.75
 First-generation/second-generation cephems22.7 (233)15.6 (137)<0.0011.44 (1.10 to 1.87)<0.01
 Third-generation/fourth-generation cephems35.2 (361)19.9 (175)<0.0011.86 (1.48 to 2.33)<0.001
 Carbapenems31.8 (326)15.0 (132)<0.0011.87 (1.44 to 2.42)<0.001
 Fluoroquinolones7.5 (77)4.0 (35)<0.011.16 (0.74 to 1.83)0.52
 Clindamycin/lincomycin6.5 (67)2.8 (25)<0.0011.35 (0.81 to 2.26)0.25
 MRSA drugs10.7 (110)4.3 (38)<0.0011.10 (0.71 to 1.72)0.66
 Antifungal drugs6.9 (71)3.2 (28)<0.0011.01 (0.60 to 1.70)0.96
 Others (aminoglycosides, monobactam, etc)8.5 (87)5.9 (52)<0.051.19 (0.80 to 1.77)0.39
Oral
 Cephems5.6 (57)4.4 (39)0.291.49 (0.95 to 2.32)0.08
 Fluoroquinolones14.5 (149)11.5 (101)0.061.11 (0.82 to 1.51)0.49
 Others (macrolides, penicillins, etc)14.0 (144)13.9 (122)0.950.84 (0.63 to 1.13)0.26
Proton pump inhibitors40.3 (413)31.2 (274)<0.0011.17 (0.95 to 1.44)0.14

CDI, Clostridium difficile infection; MRSA, methicillin-resistant Staphylococcus aureus.

Univariate and multivariate analyses of CDI development-related risk factors CDI, Clostridium difficile infection; MRSA, methicillin-resistant Staphylococcus aureus. We used logistic regression analysis to determine the risk factors for CDI development. The following medical treatments prior to CDI development were identified as significant risk factors in comparison to the control group: disruption of feeding (OR 1.31; 95% CI 1.05 to 1.64), parenteral nutrition (OR 1.63; 95% CI 1.21 to 2.20) and enteral feeding (OR 2.16; 95% CI 1.60 to 2.92). The following intravenous antibiotics were also identified as statistically significant risk factors for CDI development: first-generation and second-generation cephems (OR 1.44; 95% CI 1.10 to 1.87), third-generation and fourth-generation cephems (OR 1.86; 95% CI 1.48 to 2.33) and carbapenems (OR 1.87; 95% CI 1.44 to 2.42). However, penicillin (OR 1.04; 95% CI 0.82 to 1.33), fluoroquinolones (OR 1.16; 95% CI 0.74 to 1.83), clindamycin/lincomycin (OR 1.35; 95% CI 0.81 to 2.26) and proton pump inhibitor use (OR 1.17; 95% CI 0.95 to 1.44) were not identified as risk factors. The cohort study examined mortality among the 924 patients from the 1025 CDI group patients in the case–control study for whom serum albumin level data before CDI development were available. Among the 924 patients, 102 (11.0%) died within 30 days of developing CDI. Among those cases, the cause of death was attributed to CDI in 11 cases (1.2%). Of 11 patients, a patient had gastrointestinal perforation, another patient had CDI-related surgery and the others were not reported as severe complications. Toxic megacolon was reported in two patients, however, they had not died within 30 days of CDI development. The mean age of the 102 patients who died during the study was 80.1±8.3 years. Patients ≥75 years old were especially prevalent in this subgroup, accounting for 77.5% (79/102) of the cases. Among the 714 cases in which CDI was treated directly, recurrence within 30 days was observed in 34 cases (4.8%). The univariate analysis indicated that comorbidities of heart and respiratory failure were significantly more prevalent among patients with CDI. In addition, lower serum albumin levels were significantly associated with mortality. Among CDI treatments, mortality was significantly lower among cases in which probiotics were administered. A logistic regression analysis of the 102 cases in which the patients died within 30 days of CDI development was performed to identify the factors associated with the risk of mortality. Compared to patients ≤74 years old, the OR of mortality among patients aged 75–84 years was 2.08 (95% CI 1.19 to 3.62). Among underlying diseases, heart failure (OR 2.12; 95% CI 1.26 to 3.55) and respiratory failure (OR 1.98; 95% CI 1.19 to 3.32) were identified as risk factors for mortality within 30 days of CDI development. Regarding nutritional status, neither parenteral nutrition nor enteral nutrition was identified as a risk factor for mortality. However, low serum albumin level (ie, ≤2.6 g/dL) was identified as a significant risk factor for mortality (OR 3.50; 95% CI 1.33 to 9.22). Among CDI treatments, probiotic use (OR 0.66; 95% CI 0.42 to 1.04) was not identified as a risk factor for mortality. However, compared to cases in which no anti-CDI drugs were administered, vancomycin administration yielded an OR of 0.43 (95% CI 0.25 to 0.75), indicating a significantly lowered risk of mortality in the CDI group. Meanwhile, no such lowered mortality was observed in cases treated with metronidazole (OR 0.85; 95% CI 0.48 to 1.51; table 3).
Table 3

Univariate and multivariate analyses of all-cause mortality in patients withClostridium difficile infection (CDI)

CharacteristicsAll-cause mortality rateUnivariate analysisMultivariate analysis
Per centp ValueOR (95% CI)p Value
All11.0 (102/924)
Age (years)
 ≤747.1 (23/326)Ref.
 75–8413.3 (47/353)<0.052.08 (1.19 to 3.62)<0.05
 ≥8513.1 (32/245)1.86 (0.98 to 3.55)0.06
Sex
 Men12.2 (64/524)Ref.
 Women9.5 (38/400)0.210.78 (0.49 to 1.24)0.29
Underlying disease
 Non-infectious10.3 (64/619)Ref.
 Infectious12.5 (38/305)0.370.99 (0.60 to 1.62)0.97
Comorbidities
 Malignant tumours
  Not present10.6 (67/630)Ref.
  Present11.9 (35/294)0.571.54 (0.94 to 2.53)0.09
 Diabetes
  Not present11.6 (89/765)Ref.
  Present8.2 (13/159)0.270.71 (0.37 to 1.35)0.29
 Renal failure
  Not present10.7 (84/784)Ref.
  Present12.9 (18/140)0.460.90 (0.49 to 1.65)0.73
 Heart failure
  Not present9.3 (70/756)Ref.
  Present19.0 (32/168)<0.012.12 (1.26 to 3.55)<0.01
 Respiratory failure
  Not present9.2 (69/754)Ref.
  Present19.4 (33/170)<0.0011.98 (1.19 to 3.32)<0.01
 Cirrhosis
  Not present11.2 (100/895)Ref.
  Present6.9 (2/29)0.760.61 (0.13 to 2.83)0.53
Indicators of nutritional status
 Parenteral nutrition or enteral feeding
  Not present9.4 (53/563)Ref.
  Present13.6 (49/361)0.051.16 (0.73 to 1.84)0.53
 Serum albumin (g/dL)
  ≥3.54.0 (5/124)Ref.
  2.7–3.47.2 (27/376)<0.0011.55 (0.57 to 4.21)0.39
  ≤2.616.5 (70/424)3.50 (1.33 to 9.22)<0.05
CDI treatments
 Cessation of antibiotics
  Not present12.5 (65/519)Ref.
  Present9.1 (37/405)0.110.77 (0.48 to 1.22)0.26
 Probiotics (for intestine treatment)
  Not present13.8 (52/378)Ref.
  Present9.2 (50/546)<0.050.66 (0.42 to 1.04)0.08
 Anti-CDI drugs
  Not present15.2 (32/210)<0.05Ref.
  Vancomycin alone7.4 (32/433)0.43 (0.25 to 0.75)<0.01
  Metronidazole alone13.5 (32/237)0.85 (0.48 to 1.51)0.59
  Vancomycin and metronidazole13.6 (6/44)0.75 (0.27 to 2.08)0.57
Univariate and multivariate analyses of all-cause mortality in patients withClostridium difficile infection (CDI)

Discussion

This is the first large-scale clinical study of CDI in Japan. This study examined 1026 cases of CDI recorded over 1 year at the nationwide facilities of Japan's largest hospital group. The findings of this investigation are similar to those reported in previous studies conducted in Europe, North America and Australia with respect to the identification of several risk factors for CDI development including age, severity of the underlying condition, artificial feeding and mortality.11 13 14 Antibiotic use is a known risk factor for CDI development.15 The present case–control study confirms that intravenous cephems and carbapenems are important risk factors. Some studies report a low risk of CDI development owing to intravenous penicillin administration.16 17 Concordantly, penicillin use was not identified as a risk factor in the present study. The proton pump inhibitor use was discussed as a risk factor for CDI development in the previous studies.18 –20 In the present logistic regression analysis, it was not identified as a risk factor. In this study, 11.0% of patients with CDI died within 30 days. In comparison, higher 30-day mortality rates have been reported in previous outbreaks: 24.8% in the ribotype 027 strain outbreak in Canada and 36.7% in an examination of a single intensive care unit in the USA.21 22 However, reports of non-outbreak conditions indicate mortality rates of 13%, similar to the findings of the present study.23 Some reports state that the CDI-associated mortality rate has increased 2.5-fold, possibly indicating that CDI cases are more severe and contribute more significantly to mortality than previously thought.12 23 The mortality rate of patients with CDI is reported to increase with age.24 Concordantly, the present study also found a significantly elevated risk of death in patients ≥75 years old. The findings of this study indicate that the mortality risk of patients with CDI was not reduced as a result of metronidazole treatment but was reduced with vancomycin treatment, corroborating the existing recommendation.25 It is worth noting that metronidazole is less expensive than vancomycin, making it economically advantageous. A patient's condition must be carefully evaluated when selecting anti-CDI drugs. In particular, for patients in the present study who had conditions associated with a greater mortality risk, including advanced age (ie, ≥75 years), heart or respiratory failure or malnutrition as determined by low serum albumin levels, the use of vancomycin was expected to reduce the mortality. The recurrence rate was low (4.8%) in this study compared to the previous studies.11 26 We did not investigate those patients who developed CDI after 30 days nor did we investigate those patients who were discharged, even if within 30 days of CDI development. Therefore, the recurrence rate might be underestimated. Regardless, this study also has several methodological limitations. The most salient being the low number of registered CDI cases from quite a few participants. In the definition of CDI, the times of diarrhoea were not investigated. Another limitation of the case–control study phase is the existence of many confounding factors. In particular, probiotic use, which was recently discussed to be correlated with CDI prevention, was not included in the predictive model of this study.10 11 27 When interpreting the findings of this study, it is necessary to consider the influence of confounding factors that were not included in the analytical models. Regarding antibiotic use, the present analyses included independent explanatory variables for each antibiotic. However, actual antibiotic use is more complicated. Therefore, it is difficult to clearly determine the roles of individual antibiotics as risk factors for CDI development. Concerning matching process, we tried to adopt 1 to 1 pair sampling matched with sex, age group and main diagnosis. Some hospitals could not find appropriate control samples well matched with case samples. So the total number of the control group was less than that of the case sample. In addition, although data for the control group were analysed during the entire study period until hospital discharge, only data from the period prior to CDI development were analysed in the CDI group. Therefore, the risks might be underestimated, because the control group had a longer period of exposure risk than the CDI group did. Confounding factors that were not included in the present analyses also represent a limitation of the cohort study phase. Furthermore, issues of data quality among the facilities affect all aspects of this study. More than 40 different facilities participated in this study. While some facilities registered nearly all of their patients with CDI, other facilities registered smaller proportions of patients. Only C. difficile culture but not toxin test was used for the laboratory test in two facilities. Finally, there might have been differences with regard to individual researchers’ understanding of the outcome definitions. In order to ensure appropriate antibiotic use and control the incidence of CDI, it is important to create institutional measures such as infection control teams. The cost-effective treatment of CDI may necessitate the appropriate use of less-expensive metronidazole. However, in cases expected to become severe or life-threatening, the more expensive drug vancomycin should be administered. CDI is one of many issues concerning medicine and medical treatment costs. Accordingly, further and more proactive research into CDI epidemiology is needed.
  27 in total

1.  Risk of Clostridium difficile infection with acid suppressing drugs and antibiotics: meta-analysis.

Authors:  Chun Shing Kwok; Aaron Kobina Arthur; Chukwudubem Ifeanyichukwu Anibueze; Sonal Singh; Rodrigo Cavallazzi; Yoon Kong Loke
Journal:  Am J Gastroenterol       Date:  2012-04-24       Impact factor: 10.864

2.  Acquisition of Clostridium difficile and Clostridium difficile-associated diarrhea in hospitalized patients receiving tube feeding.

Authors:  D Z Bliss; S Johnson; K Savik; C R Clabots; K Willard; D N Gerding
Journal:  Ann Intern Med       Date:  1998-12-15       Impact factor: 25.391

3.  Meta-analysis of antibiotics and the risk of community-associated Clostridium difficile infection.

Authors:  Kevin A Brown; Nagham Khanafer; Nick Daneman; David N Fisman
Journal:  Antimicrob Agents Chemother       Date:  2013-03-11       Impact factor: 5.191

4.  A retrospective study of the epidemiology of Clostridium difficile infection at a University Hospital in Japan: genotypic features of the isolates and clinical characteristics of the patients.

Authors:  Yasuhito Iwashima; Atsushi Nakamura; Haru Kato; Hideaki Kato; Yukio Wakimoto; Naoki Wakiyama; Chiharu Kaji; Ryuzo Ueda
Journal:  J Infect Chemother       Date:  2010-05-07       Impact factor: 2.211

5.  Molecular analysis of Clostridium difficile at a university teaching hospital in Japan: a shift in the predominant type over a five-year period.

Authors:  E Sawabe; H Kato; K Osawa; T Chida; N Tojo; Y Arakawa; N Okamura
Journal:  Eur J Clin Microbiol Infect Dis       Date:  2007-10       Impact factor: 3.267

Review 6.  Probiotics for the prevention of Clostridium difficile-associated diarrhea: a systematic review and meta-analysis.

Authors:  Bradley C Johnston; Stephanie S Y Ma; Joshua Z Goldenberg; Kristian Thorlund; Per O Vandvik; Mark Loeb; Gordon H Guyatt
Journal:  Ann Intern Med       Date:  2012-12-18       Impact factor: 25.391

7.  All-cause and disease-specific mortality in hospitalized patients with Clostridium difficile infection: a multicenter cohort study.

Authors:  Marjolein P M Hensgens; Abraham Goorhuis; Olaf M Dekkers; Birgit H B van Benthem; Ed J Kuijper
Journal:  Clin Infect Dis       Date:  2013-01-08       Impact factor: 9.079

Review 8.  Clostridium difficile infection: new developments in epidemiology and pathogenesis.

Authors:  Maja Rupnik; Mark H Wilcox; Dale N Gerding
Journal:  Nat Rev Microbiol       Date:  2009-07       Impact factor: 60.633

Review 9.  Risk factors for mortality in Clostridium difficile infection in the general hospital population: a systematic review.

Authors:  M G Bloomfield; J C Sherwin; E Gkrania-Klotsas
Journal:  J Hosp Infect       Date:  2012-06-22       Impact factor: 3.926

10.  Mortality and Clostridium difficile infection: a review.

Authors:  Brett G Mitchell; Anne Gardner
Journal:  Antimicrob Resist Infect Control       Date:  2012-05-30       Impact factor: 4.887

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  14 in total

1.  Epidemiology, outcomes, and predictors of mortality in hospitalized adults with Clostridium difficile infection.

Authors:  Sahil Khanna; Arjun Gupta; Larry M Baddour; Darrell S Pardi
Journal:  Intern Emerg Med       Date:  2015-12-22       Impact factor: 3.397

2.  Burden of Clostridium difficile infection between 2010 and 2013: Trends and outcomes from an academic center in Eastern Europe.

Authors:  Zsuzsanna Kurti; Barbara D Lovasz; Michael D Mandel; Zoltan Csima; Petra A Golovics; Bence D Csako; Anna Mohas; Lorant Gönczi; Krisztina B Gecse; Lajos S Kiss; Miklos Szathmari; Peter L Lakatos
Journal:  World J Gastroenterol       Date:  2015-06-07       Impact factor: 5.742

3.  Post-hospitalization Treatment Regimen and Readmission for C. difficile Colitis in Medicare Beneficiaries.

Authors:  Charles M Psoinos; Courtney E Collins; M Didem Ayturk; Frederick A Anderson; Heena P Santry
Journal:  World J Surg       Date:  2018-01       Impact factor: 3.352

4.  Adherence to clinical practice guidelines for the management of Clostridium difficile infection in Japan: a multicenter retrospective study.

Authors:  K Kobayashi; N Sekiya; Y Ainoda; H Kurai; A Imamura
Journal:  Eur J Clin Microbiol Infect Dis       Date:  2017-06-02       Impact factor: 3.267

5.  Predictors of Mortality Among a National Cohort of Veterans With Recurrent Clostridium difficile Infection.

Authors:  Haley J Appaneal; Aisling R Caffrey; Maya Beganovic; Sanja Avramovic; Kerry L LaPlante
Journal:  Open Forum Infect Dis       Date:  2018-07-19       Impact factor: 3.835

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

Authors:  G Samonis; K Z Vardakas; G S Tansarli; D Dimopoulou; G Papadimitriou; D P Kofteridis; S Maraki; M Karanika; M E Falagas
Journal:  Epidemiol Infect       Date:  2015-05-20       Impact factor: 4.434

7.  Comparison of the safety, tolerability, and pharmacokinetics of fidaxomicin in healthy Japanese and caucasian subjects.

Authors:  Hiroyuki Oshima; Takao Yamazaki; Lauren Benner; Takashi Miki; Ingrid Michon; Tomasz Wojtkowski; Atsunori Kaibara; Salim Mujais
Journal:  Clin Drug Investig       Date:  2015-06       Impact factor: 2.859

Review 8.  The Epidemiology of Clostridium difficile Infection in Japan: A Systematic Review.

Authors:  Thomas V Riley; Tomomi Kimura
Journal:  Infect Dis Ther       Date:  2018-02-13

Review 9.  Characteristics and Immunological Roles of Surface Layer Proteins in Clostridium difficile.

Authors:  Nobuaki Mori; Takashi Takahashi
Journal:  Ann Lab Med       Date:  2018-05       Impact factor: 3.464

10.  Hospital-acquired Clostridium difficile infection in Mainland China: A seven-year (2009-2016) retrospective study in a large university hospital.

Authors:  Qiaomai Xu; Yunbo Chen; Silan Gu; Tao Lv; Beiwen Zheng; Ping Shen; Jiazheng Quan; Yunhui Fang; Lanjuan Li
Journal:  Sci Rep       Date:  2017-08-29       Impact factor: 4.379

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