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. 2025 Aug 11;20(8):2341–2348. doi: 10.1007/s11739-025-04085-0

Clinical burden of Clostridioides difficile infection in infective endocarditis: a single-center experience

Lorenzo Bertolino 1, Augusto Delle Femine 2, Anna Maria Carolina Peluso 2, Raffaella Gallo 1, Rosa Zampino 2, Fabian Patauner 1, Roberto Andini 3, Fabio Luciano 2, Iolanda Cafarella 2, Giuseppe Ruocco 4, Emanuele Durante-Mangoni 1,3,✉
PMCID: PMC12672736  PMID: 40789973

Abstract

Clostridioides difficile infection (CDI) is a leading cause of diarrhea in hospitalized patients and there are no studies addressing its burden in patients with acute infective endocarditis (IE). We aimed to assess the incidence and clinical correlates of CDI occurring during hospitalization for acute bacterial IE and analyzed the prognostic impact of this complication. A single-center retrospective study was conducted including patient hospitalized for acute IE between 2016 and 2024. CDI was defined as acute-onset diarrhea, followed by positive stool test. Analyses were based on the comparison of CDI and non-CDI cases in the subgroup of patients developing diarrhea during hospitalization. We enrolled 370 IE cases with a median age of 65 [53–74] years and most were male (68.1%). 50 (13.4%) developed diarrhea during hospitalization, of which 10 (20%) had a positive stool test and were considered CDI cases. The resultant incidence of CDI in the study period was 17.04 cases for 10,000 patient bed-days. CDI-positive patients showed an independent increased risk of in-hospital mortality (HR 3.34 [1.014–11.058]; p = 0.047). CDI incidence in our cohort of patients hospitalized for acute IE was high and associated to a reduced survival, with CDI cases showing a higher in-hospital mortality rate. Our findings underline the need for prevention and rapid detection of CDI in this setting.

Supplementary Information

The online version contains supplementary material available at 10.1007/s11739-025-04085-0.

Keywords: Infective endocarditis, Clostridioides difficile infection, Hospital-acquired diarrhea, Outcome

Introduction

Clostridioides difficile infection (CDI) is a leading cause of diarrhea in hospitalized patients. According to the latest ECDC epidemiological report, 31,731 CDI cases were observed in eight European countries in 2020 [1], and many more remain undiagnosed due to lack of clinical suspicion and/or inadequate laboratory diagnostic capacity [2].

Together with prolonged hospitalization [3], antimicrobial therapy remains the most relevant risk factor for CDI, disrupting the normal gut microbiome and creating a favorable environment for toxigenic strain expansion and development of colitis [4]. Both are inherent clinical features of infective endocarditis (IE).

Several factors impact the risk of CDI, such as the type of antimicrobial administered. For instance, beta-lactam/beta-lactamase inhibitor (BL/BLI) combinations and carbapenems are antibiotic classes associated with CDI, due to their activity against intestinal anaerobes. Moreover, C. difficile appears to be intrinsically resistant to third-generation cephalosporins and this may further increase CDI risk [5]. The duration of antibiotic therapy is another major CDI driver. A 14 day course of antibiotic therapy was linked to an increased risk of CDI (27%) when compared to a reference 7 day course (ARR = 1.27, 95%CI: 1.21–1.30) [6]. Other risk factors include advanced age, female sex, and hypoalbuminemia [3, 7].

Patients hospitalized for acute bacterial IE represent a frail population exposed to prolonged courses of intravenous antimicrobials, usually 2–4 weeks for native valve endocarditis (NVE) or ≥ 6 weeks for prosthetic valve endocarditis (PVE) [2]. Moreover, IE patients are often elderly and comorbid, and they are exposed to healthcare-associated infections that may require additional broad-spectrum antimicrobials [8]. All these factors could substantially increase CDI risk in IE. However, to the best of our knowledge, there are no studies focusing on this condition. Accordingly, in this study we aimed to assess the incidence and clinical correlates of CDI occurring during hospitalization for acute bacterial IE and analyze the prognostic impact associated with CDI development.

Methods

Study design

This was a single-center, observational, retrospective analysis of data obtained in the context of an ongoing prospective study (PIEPRO—prospective infective endocarditis prognosis study) enrolling consecutive definite acute IE cases (according to ESC 2015 [9] and subsequently to Duke-ISCVID2023 criteria [10]). We enrolled patients admitted to our center (AORN Ospedali dei Colli—Ospedale Monaldi, University of Campania “L. Vanvitelli”—Naples, Italy) between January 2016 and September 2024. CDI cases were defined as acute-onset diarrhea during hospitalization and a positive nucleic acid amplification test (NAAT) or enzyme immunoassay for glutamate dehydrogenase (GDH) and toxins A/B (CD toxins) on stool [11]. In GDH +/CDtox − cases, CDI was always diagnosed based on a positive stool NAAT. Data collection was approved by our local ethics committee (prot. N. AOC/0011110/2020) and all patients provided written informed consent for the anonymous use of their clinical data. Analyses were based on a comparison among CDI-positive and CDI-negative cases in the subgroup of patients developing diarrhea during hospitalization.

Study end points

The primary exploratory aim of the study was the incidence of CDI during hospitalization for IE. The secondary end point was in-hospital mortality.

Analyzed variables

Data analyzed in the study included demographic information (age, sex) and co-morbidities (Charlson Comorbidity Index—CCI). The date of admission to our center was used to calculate the length of stay in patients directly admitted to our facility. For patients transferred from other hospitals, the day of first admission was used. All hemato-chemical parameters were obtained on admission by routine biochemical methods used in our hospital central laboratory. These included complete blood count, C-reactive protein (CRP), NT-proBNP, creatinine, and D-dimers. In this study, chronic kidney disease (CKD) was defined as reduction of the estimated glomerular filtration rate (eGFR) below 60 mL/min/1.73 m2 according to CKD-EPI equation. The place of infection acquisition was defined as hospital acquired (HA) when symptom onset occurred > 48 h after admission, healthcare associated (HCA) when patients underwent medical interventions within 3 months of IE onset, or community acquired (CA) in the remaining cases. All patients underwent trans-thoracic echocardiogram (TTE), followed by a transesophageal echocardiogram (TEE) where needed. Details on endocarditis sub-type (native, prosthetic, or cardiac implantable electronic device-related) and vegetation location were collected. We also recorded microbial etiology, data on surgical procedures, and in-hospital outcome. In CDI cases, data regarding main antimicrobial therapy administered as treatment of IE and its duration were also collected, together with the type of test used to diagnose CDI.

Statistical analysis

Numerical variables are presented as median and interquartile range (IQR), while categorical/nominal data are presented as number and percentage. The Mann–Whitney U test or Kruskal–Wallis test (for more than two groups) was used to assess statistical significance of the differences between numerical groups of variables, while the Chi-square test was used to compare differences between the categorical variables. We performed a univariable analysis comparing patients developing diarrhea during hospitalization for IE and patients without diarrhea. Subsequently, we compared (in the subgroup of patients with diarrhea) CDI cases and non-CDI cases. CDI incidence was calculated as number of cases per IE patient bed-days (the total number of days a patient stays in a hospital bed while admitted as an inpatient). Independent predictors of in-hospital mortality were assessed using Cox regression analysis and including in the model variables significantly associated with the outcome of interest at univariable analysis. The significance level was set at 5% and all tests were two tailed. All analyses were performed using the statistical software for Windows Statistical Package for Social Sciences v. 22 (SPSS, Inc., Chicago, Illinois, USA).

Results

During the study period, 370 IE patients were admitted to our center with acute bacterial IE. Baseline characteristics of the study group are shown in Table 1. Acute diarrhea occurred in 50 patients (13.4%) during antibiotic therapy for IE. Ten patients (20%) were positive and considered CDI cases (Fig. 1). The resultant incidence of CDI in the study period was 17.04 cases for 10,000 patient bed-days. Patients with diarrhea had an increased rate of liver disease and higher inflammatory markers at admission, and experienced a more prolonged hospital stay (33 [24–45] vs 26 [16–39] days; p: 0.008) (Supplementary Table 1). These patients were tested for CDI. NAAT was performed in 24 patients (48%), whereas in 15 patients (30%) the algorithm based on GDH and toxin detection by EIA was adopted. Details of diagnostic tests used are shown in Table 2.

Table 1.

Baseline clinical features of the 370 IE cases studied

General characteristics
Total Number 370
Age, years 65 [53–74]
Male gender 252 (68.1)
Female gender 118 (31.9)
Comorbidities
 Chronic kidney disease 128 (34.6)
 Ischemic heart disease 84 (22.7)
 Chronic heart failure 95 (25.7)
 Diabetes mellitus 83 (22.4)
 Chronic obstructive pulmonary disease 84 (22.7)
 Liver disease 58 (15.7)
 Malignant neoplasia 57 (15.4)
 Peripheral artery disease 56 (15.1)
 Charlson comorbidity index 4 [2–6]
Biochemical data
 NT-proBNP, pg/mL 2551 [708–8189]
 Troponin ng/mL 8.7 [0.09—52]
 Creatinine, mg/dL 1 [0.8–1.4]
 D-Dimers, ng/mL 970 [497–2312]
 C-reactive protein, mg/dL 7.6 [3.8–13.7]
 White blood cells, mm3 10,400 [7700–13930]
Type of acquisition
 Community acquired 270 (73)
 Healthcare associated 33 (13)
 Hospital acquired 48 (8.9)
Vegetation location
 Aortic valve 132 (35.7)
 Mitral valve 105 (28.4)
 Multivalve/multisite involvement 61 (16.5)
 Lead 38 (10.3)
 Tricuspid valve 16 (4.3)
 Pulmonary valve 10 (2.7)
 Other 8 (2.2)
IE subtype
 Native valve 178 (48.1)
 CIED lead 47 (12.7)
 Prosthetic biological valve 51 (13.8)
 Prosthetic mechanical valve 43 (11.6)
 Multi-type involvement 22 (5.9)
 Other 17 (4.6)
 TAVI 12 (3.2)
Causative microorganism
 Streptococcus spp. 86 (23.2)
 Staphylococcus aureus 76 (20.5)
 Enterococcus spp. 72 (19.5)
 Coagulase-negative staphylococci 52 (14.1)
 Gram negatives 7 (1.9)
 Corynebacterium spp. 4 (1.1)
 Candida spp. 2 (0.5)
 Other microorganisms 4 (1.1)
Culture negative 67 (18.1)
 Vegetation size, mm 13.5 [9–20]
Cardiac surgery
 Yes 225 (60.8)
 No 145 (39.2)
Length of hospitalization, days 27 [17–40]
In-hospital outcome
 Survivors 300 (81.1)
 Non-survivors 70 (18.9)

Categorical variables are presented as number and percentage

Numerical variables are presented as median and IQR

IE Infective endocarditis, NT-proBNP N-terminal prohormone brain natriuretic peptide

Fig. 1.

Fig. 1

Enrollment flowchart showing the number of cases enrolled in the analyses from the entire cohort

Table 2.

Details of antimicrobial therapy and CDI diagnostics

Total number 370
Antimicrobial therapy
 Daptomycin 100 (27)
 Ampicillin–sulbactam 82 (22.2)
 Amoxicillin–clavulanic acid 58 (15.7)
 Ceftriaxone 48 (13)
 Gentamicin 23 (6.2)
 Cefazolin 20 (5.4)
 Teicoplanin 15 (4.1)
 Vancomycin 8 (2.2)
 Linezolid 2 (0.5)
Duration of antibiotic therapy, days 30 [20–42]
Antimicrobials before blood cultures 90 (24.3)
Clostridioides difficile testing
 Tested 50 (13.5)
 Not tested 320 (86.5)
CDI test result
 Positive 10 (20)
 Negative 40 (80)
Type of CDI test
 NAAT 24 (48)
 GDH + toxin assay 15 (30)
 Culture 4 (8)
 Culture and NAAT 4 (8)
 NAAT + GDH + toxin assay 3 (6)

Categorical variables are presented as number and percentage

Numerical variables are presented as median and IQR

CDI Clostridioides difficile infection, NAAT Nucleic acid amplification test, GDH Glutamate dehydrogenase

Univariable analysis comparing CDI cases and non-CDI cases

In the overall cohort, the development of CDI was associated with a significant increase of in-hospital mortality (50% vs 18%; p = 0.025).

Table 3 shows results of the univariable analysis comparing CDI and non-CDI cases in the subgroup of patients developing diarrhea during hospitalization. Among the CDI group, the mean age was 64 [55–77.5] years and most patients were females (70%) without significant differences with the non-CDI group. CDI was more likely to occur among IE patients with HCA-IE (40% vs 10%; p = 0.002).

Table 3.

Univariable analyses of clinical, biochemical and outcome variables between the CDI and non-CDI groups (n = 50)

Parameter Univariable analysis
p-value
CDI
(n = 10)
Non-CDI
(n = 40)
General characteristics
Age 64 [55–77.5] 67 [55–73.7] 0.961
Sex 0.157
 Male 3 (30) 22 (55)
 Female 7 (70) 18 (45)
Comorbidities
 CHF (prior to IE onset) 5 (50) 12 (30) 0.232
 Ischemic heart disease 4 (40) 9 (22.5) 0.259
 Chronic obstructive pulmonary disease 2 (20) 12 (30) 0.529
 Diabetes 3 (30) 11 (27.5) 0.875
 Liver disease 4 (40) 13 (32.5) 0.654
 Malignant neoplasia 1 (10) 7 (17.5) 0.563
 Chronic kidney disease 3 (30) 17 (34) 0.470
 Peripheral artery disease 2 (20) 7 (17.5) 0.854
Charlson comorbidity index 5 [1-6] 4 [2-6] 0.922
Vegetation size, mm 11.5 [7.7–19.5] 14.5 [7-18] 0.785
Type of acquisition 0.002
 Community acquired 5 (50) 27 (54)
 Healthcare associated 4 (40) 1 (2)
 Hospital acquired 1 (10) 11 (22)
Type of valve 0.100
 Prosthetic biological valve 2 (20) 7 (17.5)
 Prosthetic mechanical valve 1 (10) 7 (17.5)
 Native valve 4 (40) 16 (40)
 CIED 0 (0) 6 (15)
 TAVI 2 (20) 0 (0)
 Multisite location 1 (10) 2 (5)
 Other 0 (0) 2 (5)
Vegetation location 0.314
 Aortic valve 4 (40) 10 (25)
 Mitral valve 4 (40) 14 (35)
 Multivalve/multisite involvement 1 (10) 9 (22.5)
 CIED lead 0 (0) 4 (10)
 Tricuspid valve 0 (0) 2 (5)
 Other 0 (0) 1 (2.5)
 Pulmonary valve 1 (10) 0 (0)
Causative microorganism 0.025
 Streptococcus spp. 0 (0) 4 (10)
 Staphylococcus aureus 1 (10) 13 (32.5)
 Coagulase-negative staphylococci 2 (20) 3 (7.5)
 Enterococcus spp. 1 (10) 13 (32.5)
 Gram negatives 1 (10) 1 (2.5)
 Candida spp. 0 (0) 1 (2.5)
 Corynebacterium spp. 2 (20) 0 (0)
 Negative cultures 3 (30) 5 (12.5)
Biochemical data, median
 C-reactive protein, mg/dL 7.8 [9.4–23.4] 9.1 [4.5–16.3] 0.042
 Creatinine, mg/dL 0.9 [0.4–3.4] 1.05 [0.8–1.6] 0.689
 NT-proBNP, pg/mL 5509 [4723–36169] 3364 [1419–5429] 0.033
 Troponin ng/mL 23.3 [5–1925] 13.2 [0.08–51.9] 0.145
 D-dimers, ng/mL 1769 [826–2312] 1118 [467–2706] 0.789
 White blood cells, n/mcL 10,050 [5482–18932] 11,595 [8095–15635] 0.482
Antibiotic therapy
 Amoxicillin–clavulanic acid 1 (10) 5 (12.5) 0.828
 Ampicillin–sulbactam 1 (10) 11 (27.5) 0.246
 Cefazolin 2 (20) 3 (7.5) 0.239
 Ceftriaxone 0 (0) 5 (12.5) 0.239
 Daptomycin 3 (30) 10 (25) 0.747
 Teicoplanin 0 (0) 1 (2.5) 0.614
 Vancomycin 1 (10) 1 (2.5) 0.279
Antimicrobials before blood culture 2 (20) 10 (20) 0.741
Duration of antibiotic therapy, days 29 [19–53.7] 33 [21.2–44.7] 0.627
Length of hospitalization, days 34.5 [13–52.2] 33 [25.7–45.7] 0.780
Cardiac surgery 0.470
 Yes 5 (50) 15 (37.5)
 No 5 (50) 25 (62.5)
In-hospital outcome 0.017
 Survivors 5 (50) 34 (85)
 Non-survivors 5 (50) 6 (15)

Categorical variables are presented as number and percentage

Numerical variables are presented as median and IQR

CDI Clostridioides difficile infection, CHF Chronic heart failure, IE Infective endocarditis, CIED Cardiac implantable electronic device, TAVI Transcatheter aortic valve implantation, NT-proBNP N-terminal prohormone brain natriuretic peptide

Among CDI patients, there were higher rates of native valve involvement (40%), without significant differences in terms of valve location. Negative cultures or uncommon etiologies were more frequently observed in CDI cases. The most common isolated pathogens in non-CDI cases were Staphylococcus aureus and Enterococcus spp. (32.5% each), whereas negative cultures accounted for 30% of the CDI group compared with 12.5% of the non-CDI group.

Regarding antibiotic treatment, the most common antimicrobial administered in CDI was daptomycin (30%), whereas two (20%) patients received cefazolin. No significant differences were found in terms of antimicrobials administered before blood cultures. In non-CDI, the main antibiotics used were ampicillin–sulbactam and daptomycin. We did not find differences between groups in terms of length of hospitalization (34.5 [13–52.2] vs 33 [25.7–45.7]; p = 0.780) and duration of antibiotic therapy, it was 29 [19–53.7] days for CDI subjects and 33 [25.7–45.7] days in the non-CDI group (p = 0.627). Cardiac surgery was performed during hospitalization in a higher number, albeit not significant, of CDI patients (50% vs 37.5%). In-hospital mortality was higher in CDI patients (50% vs 15%; p = 0.017).

Impact of CDI on in-hospital mortality in patients with diarrhea

At univariable analysis, we confirmed a statistically significant association between the occurrence of CDI during hospitalization for IE and in-hospital mortality. No other significant associations with in-hospital mortality were found (data not shown). A Cox regression analysis found that a CDI-positive status was independently associated with an increased risk of death during IE hospitalization (HR 3.34[1.014–11.058]; p = 0.047).

Discussion

The results of our study show that the prevalence of diarrhea in patients hospitalized for acute IE is similar when compared to the general inpatient population (13.4% vs 12%) [12]. CDI was the cause of diarrhea in a proportion of them (20%), suggesting that other factors also have an impact on diarrhea occurrence in this setting (antimicrobials adverse effects, administration of laxatives, etc.). Indeed, CDI incidence (about 17 cases for 10,000 patient bed-days) was higher than the average observed in previous studies on an unselected hospital population [13]. This is likely due to the presence of several risk factors that identify IE patients as being at high risk for developing this complication. It is interesting to observe that CDI incidence data in our IE cohort was high, despite the relatively low incidence shown in a regional epidemiological report [13]. Indeed, our cohort presented several features that, according to current literature, are listed as major risk factors for CDI. One of the most relevant is the prolonged antimicrobial treatment that in our cohort had a median duration of 30 [20–42] days. In addition, the median age of our study cohort was 65, and older patients (> 65 years) can be considered to be at higher risk for CDI. This may be linked to age-associated modifications in the intestinal microbiota composition [4] as well as immune system aging. Moreover, patients who developed CDI are significantly frail and have an overall high rate of comorbidities, with high prevalence of chronic heart failure and ischemic heart disease, followed by liver disease and chronic kidney disease, as indeed occurred in our cohort [15].

CDI-positive patients showed a significantly increased and independent mortality risk during hospitalization of IE. This result is in line with other studies suggesting a negative impact of CDI on the overall outcome [17]. Moreover, it also applies when analyzing outcomes of patients undergoing cardiac surgery for other indications. Indeed, a study performed in a large cohort of patients undergoing cardiac surgery confirmed the significant association between CDI and in-hospital mortality [18]. Interestingly, in this study CDI was more likely complicating the in-hospital course of patients developing endocarditis after cardiac surgery (OR 4.7; 95% CI 3.91–5.72).

When looking at the comparative analysis between CDI and non-CDI, CDI cases were more likely to show atypical isolations or undemonstrated etiology. By contrast, in our cohort, most patients with staphylococcal and enterococcal IE, well known for an aggressive presentation, showed a lower incidence of CDI. A possible explanation for this figure relies on the need for broader-spectrum antimicrobial therapy in unclear or unknown etiology, which might have had a greater impact on intestinal microbiota and increased the risk for CDI. Moreover, patients with CDI also showed a higher rate of HCA-IE. This might have also played a role in affecting the IE etiology in this subgroup of patients in whom previous HC contacts might have increased administration of other antimicrobial agents or increased the risk for bacteremia due to non-IE typical microorganisms. Therefore, CDI should be more carefully sought in patients with HCA-IE. Of note, HCA-IE has significantly increased recently and occurred more frequently in immunocompromised hosts, in whom CDI may have a higher impact on in-hospital outcome [9, 16].

Among the CDI group, the proportion of patients who underwent surgery was higher, as compared to non-CDI. The reason behind this finding remains unclear. In contrast, CDI development was not associated with increased duration of antibiotic therapy, neither in hospital nor before admission.

Our study has several limitations. First, despite the efforts done to collect data, the retrospective nature of the study poses a risk for underreporting bias. Detailed data regarding etiology of diarrhea in the non-CDI group were not collected. Moreover, the low number of patients included in the univariable analysis may influence the statistical power of our results.

In conclusion, we found a high incidence of CDI in our cohort of patients hospitalized for acute IE, underlying the need for further studies addressing this topic. CDI can have a negative impact on IE outcome by increasing in-hospital mortality, calling for implementation of strategies to reduce gut microbiota disruption in this setting.

Supplementary Information

Below is the link to the electronic supplementary material.

Author contributions

Lorenzo Bertolino, Augusto Delle Femine and Emanuele Durante-Mangoni contributed to the study conception and design. Material preparation, data collection and analysis were performed by Lorenzo Bertolino and Augusto Delle Femine. Data collection was performed by Anna Maria Carolina Peluso, Raffaello Gallo, Fabian Patauner, Fabio Luciano and Iolanda Cafarella. Analysis was performed by Rosa Zampino, Roberto Andini and Giuseppe Ruocco. The first draft of the manuscript was written by Lorenzo Bertolino and Augusto Delle Femine and reviewed by Emanuele Durante-Mangoni. All authors commented on previous versions of the manuscript. All authors read and approved the final manuscript.

Funding

Open access funding provided by Università degli Studi della Campania Luigi Vanvitelli within the CRUI-CARE Agreement. The authors declare that no funds, grants, or other support was received during the preparation of this manuscript.

Data availability

Data are made available by the corresponding author upon reasonable request.

Declarations

Conflict of interest

The authors have no relevant financial or non-financial interests to disclose.

Ethical approval

This study was performed in line with the principles of the Declaration of Helsinki. Approval was granted by the local ethics committee (prot. N. AOC/0011110/2020).

Consent to participation

All patients provided written informed consent for the anonymous use of their clinical data.

Footnotes

Publisher's Note

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References

  • 1.European Centre for Disease Prevention and Control (2024). Clostridioides difficile infections. In: ECDC. Annual epidemiological report for 2018−2020. Stockholm: ECDC.
  • 2.Davies KG, Longshaw CM, Davis GL et al (2014) Underdiagnosis of Clostridium difficile across Europe: the European, multicentre, prospective, biannual, point-prevalence study of clostridium difficile infection in hospitalized patients with diarrhoea (EUCLID). Lancet Infect Dis 14:1208–1219. 10.1016/S1473-3099(14)70991-0 [DOI] [PubMed] [Google Scholar]
  • 3.Leffler DA, Lamont JT (2015) Clostridium difficile infection. N Engl J Med 372(16):1539–1548. 10.1056/NEJMra1403772 [DOI] [PubMed] [Google Scholar]
  • 4.Spigaglia P (2024) Clostridioides difficile and gut microbiota: from colonization to infection and treatment. Pathogens 13(8):646. 10.3390/pathogens13080646 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 5.Di Bella S, Sanson G, Monticelli J et al (2024) Clostridioides difficile infection: history, epidemiology, risk factors, prevention, clinical manifestations, treatment, and future options. Clin Microbiol Rev 37(2):e0013523. 10.1128/cmr.00135-23 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 6.Brown KA, Langford B, Schwartz KL, Diong C, Garber G, Daneman N (2021) Antibiotic prescribing choices and their comparative C. difficile infection risks: a longitudinal case-cohort study. Clin Infect Dis 72(5):836–844. 10.1093/cid/ciaa124 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 7.Dias SP, Brouwer MC, van de Beek D (2022) Sex and gender differences in bacterial infections. Infect Immun 90(10):e0028322. 10.1128/iai.00283-22 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 8.Ambrosioni J, Hernández-Meneses M, Durante-Mangoni E et al (2023) Epidemiological changes and improvement in outcomes of infective endocarditis in Europe in the twenty-first century: an international collaboration on endocarditis (ICE) prospective cohort study. Infect Dis Ther 12(4):1083–1101. 10.1007/s40121-023-00763-8 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 9.Delgado V, Ajmone Marsan N, de Waha S et al (2023) 2023 ESC guidelines for the management of endocarditis. Eur Heart J 44(39):3948–4042. 10.1093/eurheartj/ehad193 [DOI] [PubMed] [Google Scholar]
  • 10.Fowler VG, Durack DT, Selton-Suty C et al (2023) The 2023 Duke-International society for cardiovascular infectious diseases criteria for infective endocarditis: updating the modified Duke criteria. Clin Infect Dis 77(4):518–526. 10.1093/cid/ciad271 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 11.Polage CR, Solnick JV, Cohen SH (2012) Nosocomial diarrhea: evaluation and treatment of causes other than Clostridium difficile. Clin Infect Dis 55(7):982–989. 10.1093/cid/cis551 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 12.Marra AR, Perencevich EN, Nelson RE et al (2020) Incidence and outcomes associated with Clostridium difficile infections: a systematic review and meta-analysis. JAMA Netw Open 3(1):e1917597. 10.1001/jamanetworkopen.2019.17597 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 13.Bertolino L, Patauner F, Gagliardi M et al (2021) Diagnostic and infection control strategies for Clostridioides difficile infections in a setting of high antimicrobial resistance prevalence. Infez Med 29(1):70–78 [PubMed] [Google Scholar]
  • 14.Furuya-Kanamori L, Marquess J, Yakob L et al (2015) Asymptomatic Clostridium difficile colonization: epidemiology and clinical implications. BMC Infect Dis 15(1):516. 10.1186/s12879-015-1258-4 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 15.Eeuwijk J, Ferreira G, Yarzabal JP, Ry R-D, van Beest HM (2024) A systematic literature review on risk factors for and timing of clostridioides difficile infection in the United States. Infect Dis Ther 13(2):273–298. 10.1007/s40121-024-00919-0 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 16.Munoz-Moreno MF, Ryan P, Alvaro-Meca A et al (2019) National temporal trend analysis of infective endocarditis among patients infected with HIV in Spain (1997–2014): a retrospective study. J Clin Med 8:1167. 10.3390/jcm8081167 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 17.Boven A, Vlieghe E, Engstrand L et al (2023) Clostridioides difficile infection-associated cause-specific and all-cause mortality: a population-based cohort study. Clin Microbiol Infect 29(11):1424–1430. 10.1016/j.cmi.2023.07.008 [DOI] [PubMed] [Google Scholar]
  • 18.Lemaire A, Dombrovskiy V, Batsides G et al (2015) The effect of Clostridium difficile infection on cardiac surgery outcomes. Surg Infect (Larchmt) 16(1):24–28. 10.1089/sur.2013.097 [DOI] [PubMed] [Google Scholar]

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Supplementary Materials

Data Availability Statement

Data are made available by the corresponding author upon reasonable request.


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