Heart Failure Is a Risk Factor for Suffering and Dying of Clostridium difficile Infection. Results of a 15-Year Nationwide Study in Spain

Prediction of 28-Day All-Cause Mortality in Heart Failure Patients with Clostridioides difficile Infection Using Machine Learning Models: Evidence from the MIMIC-IV Database

INTRODUCTION

Heart failure (HF) may induce bowel hypoperfusion, leading to hypoxia of the villa of the bowel wall and the occurrence of Clostridioides difficile infection (CDI). However, the risk factors for the development of CDI in HF patients have yet to be fully illustrated, especially because of a lack of evidence from real-world data.

METHODS

Clinical data and survival situations of HF patients with CDI admitted to ICU were extracted from the Medical Information Mart for Intensive Care (MIMIC)-IV database. For developing a model that can predict 28-day all-cause mortality in HF patients with CDI, the Recursive Feature Elimination with Cross-Validation (RFE-CV) method was used for feature selection. And nine machine learning (ML) algorithms, including logistic regression (LR), decision tree, Bayesian, adaptive boosting, random forest (RF), gradient boosting decision tree, XGBoost, light gradient boosting machine, and categorical boosting, were applied for model construction. After training and hyperparameter optimization of the models through grid search 5-fold cross-validation, the performance of models was evaluated by the area under curve (AUC), accuracy, sensitivity, specificity, precision, negative predictive value, and F1 score. Furthermore, the SHapley Additive exPlanations (SHAP) method was used to interpret the optimal model.

RESULTS

A total of 526 HF patients with CDI were included in the study, of whom 99 cases (18.8%) experienced death within 28 days. Eighteen of the 57 variables were selected for the model construction algorithm for model construction. Among the ML models considered, the RF model emerged as the optimal model achieving the accuracy, F1-score, and AUC values of 0.821, 0.596, and 0.864, respectively. The net benefit of the model surpassed other models at 16%-22% threshold probabilities based on decision curve analysis. According to the importance of features in the RF model, red blood cell distribution width, blood urea nitrogen, Simplified Acute Physiology Score II, Sequential Organ Failure Assessment, and white blood cell count were highlighted as the five most influential variables.

CONCLUSIONS

We developed ML models to predict 28-day all-cause mortality in HF patients associated with CDI in the ICU, which are more effective than the conventional LR model. The RF model has the best performance among all the ML models employed. It may be useful to help clinicians identify high-risk HF patients with CDI.

Mortality in clostridioides difficile infection among patients hospitalized at the university clinical hospital in Wroclaw, Poland - a 3-year observational study

BACKGROUND

In the last two decades, a significant increase in the number of Clostridioides difficile infection (CDI) cases has been observed. It is understandable to attempt to determine the factors that can predict the severity of the course of the infection and identify patients at risk of death. This study aimed to analyze the factors affecting the incidence and mortality of CDI in inpatient treatment at the University Clinical Hospital in Wrocław in 2016-2018.

METHODS

Statistical analysis of data obtained from patients' medical records was performed. Only patients with symptoms of infection and infection confirmed by laboratory tests were enrolled in the study. When analyzing the number of deaths, only adult patients who died in hospital wards were included. The quantitative data including laboratory tests, used antibiotics and Nutritional Risk Screening (NRS) were assessed. Also, the qualitative data such as sex, year of hospitalization, occurrence of diarrhoea on admission to the hospital, presence of additional diseases, as wee ad the use of antibacterial drugs or proton pump blockers and ranitidine during hospitalization were analyzed.

RESULTS

A total of 319 adult CDI patients (178 women and 141 men) were enrolled of which 80 people died (50 women and 30 men). The mean age of the patients was 72.08 ± 16.74 years. Over the entire period studied, the morbidity was 174 cases per 100,000 hospitalizations while mortality was 25.08%. The group of deceased patients was characterized by: older age (by 9.24 years), longer duration of hospitalization (by 10 days), reduced albumin levels (Rho = -0.235, p < 0.001), higher urea levels, use of more antibiotics, higher risk of malnutrition in NRS (Rho = 0.219, p < 0.001), higher incidence of sepsis, heart failure, stroke, hypothyroidism. Pneumonia was diagnosed twice as often. It was also shown that deceased patients were significantly more likely to take penicillin and fluoroquinolones.

CONCLUSIONS

In this study, the morbidity was lower, but mortality was higher compared to similar hospitals in Poland. CDI patients were characterized by older age, multimorbidity, extended hospitalization, and the use of broad-spectrum antibiotics. Risk factors for death included advanced age, prolonged hospital stays, lower albumin, higher urea, malnutrition, and comorbidities like heart failure, stroke, pneumonia, sepsis, and hypothyroidism. Increased antibiotic use, particularly penicillin and fluoroquinolones, was associated with a higher mortality risk.

Clostridioides difficile infection: history, epidemiology, risk factors, prevention, clinical manifestations, treatment, and future options

SUMMARYClostridioides difficile infection (CDI) is one of the major issues in nosocomial infections. This bacterium is constantly evolving and poses complex challenges for clinicians, often encountered in real-life scenarios. In the face of CDI, we are increasingly equipped with new therapeutic strategies, such as monoclonal antibodies and live biotherapeutic products, which need to be thoroughly understood to fully harness their benefits. Moreover, interesting options are currently under study for the future, including bacteriophages, vaccines, and antibiotic inhibitors. Surveillance and prevention strategies continue to play a pivotal role in limiting the spread of the infection. In this review, we aim to provide the reader with a comprehensive overview of epidemiological aspects, predisposing factors, clinical manifestations, diagnostic tools, and current and future prophylactic and therapeutic options for C. difficile infection.

Outcomes of Clostridioides difficile infection in acute heart failure hospitalizations: insights from the National Inpatient Database

BACKGROUND

Heart failure (HF) patients are at a greater risk for nosocomial infections due to their higher prevalence of comorbidities, readmission rates, and prolonged hospital stays. Clostridioides difficile infection (CDI) remains a common nosocomial infection in hospitalized patients.

AIM

To identify patients with a diagnosis of acute HF and stratified based on the presence of CDI, using the National Inpatient Sample (NIS) database from 2016 to 2020.

METHODS

Adjusted odds ratios (aOR) of in-hospital outcomes were calculated, and a propensity-matched analysis was performed.

FINDINGS

Of 536,595 acute HF hospitalizations in this timeframe, 3030 were also diagnosed with CDI (0.56%). Patients with acute HF and CDI had significantly higher in-hospital mortality (adjusted odds ratio: (aOR): 1.91), cardiac arrest (aOR: 1.66), and use of mechanical circulatory support (MCS) (aOR 2.42). In propensity-matched analysis, in-hospital mortality (13.71 vs 8.44%; P=0.005), septic shock (7.54 vs 3.33%; P=0.002), and use of MCS (7.19 vs 3.68%; P=0.009) were significantly higher in HF patients with CDI than without. Coexisting neurological disease (aOR: 3.74) and liver disease (aOR: 2.97) showed the strongest association as independent predictors of mortality. HF patients with CDI had longer hospital stays (14.45 ± 19.40 vs 5.44 ± 7.10 days; P<0.0001) and higher inflation-adjusted total hospital costs ($186,225 ± 376,485 vs $60,740 ± 153,992; P<0.001) compared to those without CDI.

CONCLUSION

The occurrence of concomitant CDI in patients admitted with acute HF exacerbation is associated with worse in-hospital outcomes and deaths as well as longer hospitalizations and greater financial cost.

A Systematic Literature Review on Risk Factors for and Timing of Clostridioides difficile Infection in the United States

INTRODUCTION

Clostridioides difficile infection (CDI) is a major public health threat. Up to 40% of patients with CDI experience recurrent CDI (rCDI), which is associated with increased morbidity. This study aimed to define an at-risk population by obtaining a detailed understanding of the different factors leading to CDI, rCDI, and CDI-related morbidity and of time to CDI.

METHODS

We conducted a systematic literature review (SLR) of MEDLINE (using PubMed) and EMBASE for relevant articles published between January 1, 2016, and November 11, 2022, covering the US population.

RESULTS

Of the 1324 articles identified, 151 met prespecified inclusion criteria. Advanced patient age was a likely risk factor for primary CDI within a general population, with significant risk estimates identified in nine of 10 studies. Older age was less important in specific populations with comorbidities usually diagnosed at earlier age, such as bowel disease and cancer. In terms of comorbidities, the established factors of infection, kidney disease, liver disease, cardiovascular disease, and bowel disease along with several new factors (including anemia, fluid and electrolyte disorders, and coagulation disorders) were likely risk factors for primary CDI. Data on diabetes, cancer, and obesity were mixed. Other primary CDI risk factors were antibiotics, proton pump inhibitors, female sex, prior hospitalization, and the length of stay in hospital. Similar factors were identified for rCDI, but evidence was limited. Older age was a likely risk factor for mortality. Timing of primary CDI varied depending on the population: 2-3 weeks in patients receiving stem cell transplants, within 3 weeks for patients undergoing surgery, and generally more than 3 weeks following solid organ transplant.

CONCLUSION

This SLR uses recent evidence to define the most important factors associated with CDI, confirming those that are well established and highlighting new ones that could help to identify patient populations at high risk.

COVID-19 and Clostridioides difficile Coinfection Outcomes among Hospitalized Patients in the United States: An Insight from National Inpatient Database

The incidence of Clostridioides difficile infection (CDI) has been increasing compared to pre-COVID-19 pandemic levels. The COVID-19 infection and CDI relationship can be affected by gut dysbiosis and poor antibiotic stewardship. As the COVID-19 pandemic transitions into an endemic stage, it has become increasingly important to further characterize how concurrent infection with both conditions can impact patient outcomes. We performed a retrospective cohort study utilizing the 2020 NIS Healthcare Cost Utilization Project (HCUP) database with a total of 1,659,040 patients, with 10,710 (0.6%) of those patients with concurrent CDI. We found that patients with concurrent COVID-19 and CDI had worse outcomes compared to patients without CDI including higher in-hospital mortality (23% vs. 13.4%, aOR: 1.3, 95% CI: 1.12-1.5, p = 0.01), rates of in-hospital complications such as ileus (2.7% vs. 0.8%, p < 0.001), septic shock (21.0% vs. 7.2%, aOR: 2.3, 95% CI: 2.1-2.6, p < 0.001), length of stay (15.1 days vs. 8 days, p < 0.001) and overall cost of hospitalization (USD 196,012 vs. USD 91,162, p < 0.001). Patients with concurrent COVID-19 and CDI had increased morbidity and mortality, and added significant preventable burden on the healthcare system. Optimizing hand hygiene and antibiotic stewardship during in-hospital admissions can help to reduce worse outcomes in this population, and more efforts should be directly made to reduce CDI in hospitalized patients with COVID-19 infection.

Oral and gut microbiome alterations in heart failure: Epidemiology, pathogenesis and response to advanced heart failure therapies

Despite significant advances in therapies, heart failure (HF) remains a progressive disease that, once advanced, is associated with significant death and disability. Cardiac replacement therapies with left ventricular assist device (LVAD) and heart transplantation (HT) are the only treatment options for advanced HF, while lifesaving they can also be lifespan limiting due to the associated complications. Systemic inflammation is mechanistically important in HF pathophysiology and progression. However, directly targeting inflammation in HF has not been beneficial thus far. These failed attempts at therapeutics might be related to our limited understanding of the factors that cause inflammation in HF, and, therefore, to our inability to investigate these triggers in interventional studies. Observational studies have consistently demonstrated associations between alterations in the digestive (gut and oral) microbiome, inflammation and HF risk and progression. Additionally, recent data indicate that these microbial perturbations persist following LVAD and HT, along with residual inflammation and oxidative stress. Furthermore, there is rising recognition of the critical contribution of the microbiome to the metabolism of immunosuppressive drugs after HT. Cumulatively, these findings might posit a mechanistic link between microbiome alterations, systemic inflammation, and adverse outcomes in HF patients before and after cardiac replacement therapies. This review (1) provides an update on available data linking changes in digestive tract microbiota, inflammation, and oxidative stress, to HF pathogenesis and progression; (2) describes evolution of these relationships following LVAD and HT; and (3) outlines present and future intervention strategies that can manipulate the microbiome and possibly modify HF disease trajectory.

Intestinal Flora: A Potential New Regulator of Cardiovascular Disease

Although substantial progress has been made in reducing the burden of the disease by preventing the risk factors of cardiovascular disease (CVD), potential risk factors still exist and lead to its progression. In recent years, numerous studies have revealed that intestinal flora can interfere with the physiological processes of the host through changes in composition and function or related metabolites. Intestinal flora thus affects the occurrence and development of a variety of CVDs, including atherosclerosis, ischemic heart disease, and heart failure. Moreover, studies have found that interventions for intestinal flora and its metabolites provide new opportunities for CVD treatment. This article mainly discusses the interaction between the human intestinal flora and its metabolites, the occurrence and development of CVD, and the potential of intestinal flora as a new target for the diagnosis and treatment of CVD.

European Society of Clinical Microbiology and Infectious Diseases: 2021 update on the treatment guidance document for Clostridioides difficile infection in adults

SCOPE

In 2009, the European Society of Clinical Microbiology and Infectious Diseases (ESCMID) published the first treatment guidance document for Clostridioides difficile infection (CDI). This document was updated in 2014. The growing literature on CDI antimicrobial treatment and novel treatment approaches, such as faecal microbiota transplantation (FMT) and toxin-binding monoclonal antibodies, prompted the ESCMID study group on C. difficile (ESGCD) to update the 2014 treatment guidance document for CDI in adults.

METHODS AND QUESTIONS

Key questions on CDI treatment were formulated by the guideline committee and included: What is the best treatment for initial, severe, severe-complicated, refractory, recurrent and multiple recurrent CDI? What is the best treatment when no oral therapy is possible? Can prognostic factors identify patients at risk for severe and recurrent CDI and is there a place for CDI prophylaxis? Outcome measures for treatment strategy were: clinical cure, recurrence and sustained cure. For studies on surgical interventions and severe-complicated CDI the outcome was mortality. Appraisal of available literature and drafting of recommendations was performed by the guideline drafting group. The total body of evidence for the recommendations on CDI treatment consists of the literature described in the previous guidelines, supplemented with a systematic literature search on randomized clinical trials and observational studies from 2012 and onwards. The Grades of Recommendation Assessment, Development and Evaluation (GRADE) system was used to grade the strength of our recommendations and the quality of the evidence. The guideline committee was invited to comment on the recommendations. The guideline draft was sent to external experts and a patients' representative for review. Full ESCMID endorsement was obtained after a public consultation procedure.

RECOMMENDATIONS

Important changes compared with previous guideline include but are not limited to: metronidazole is no longer recommended for treatment of CDI when fidaxomicin or vancomycin are available, fidaxomicin is the preferred agent for treatment of initial CDI and the first recurrence of CDI when available and feasible, FMT or bezlotoxumab in addition to standard of care antibiotics (SoC) are preferred for treatment of a second or further recurrence of CDI, bezlotoxumab in addition to SoC is recommended for the first recurrence of CDI when fidaxomicin was used to manage the initial CDI episode, and bezlotoxumab is considered as an ancillary treatment to vancomycin for a CDI episode with high risk of recurrence when fidaxomicin is not available. Contrary to the previous guideline, in the current guideline emphasis is placed on risk for recurrence as a factor that determines treatment strategy for the individual patient, rather than the disease severity.

Clostridioides difficile infection in liver cirrhosis patients: A population-based study in United States

BACKGROUND

Clostridioides (formerly Clostridium) difficile infection (CDI) is an increasingly frequent cause of morbidity and mortality in hospitalized patients. Multiple risk factors are documented in the literature that includes, but are not limited to, antibiotics use, advanced age, and gastric acid suppression. Several epidemiological studies have reported an increased incidence of CDI in advanced liver disease patients. Some have also demonstrated a higher prevalence of nosocomial infections in cirrhotic patients.

AIM

To use a large nationwide database, we sought to determine CDI’s risk among liver cirrhosis patients in the United States.

METHODS

We queried a commercial database (Explorys Inc^TM, Cleveland, OH, United States), and obtained an aggregate of electronic health record data from 26 major integrated United States healthcare systems comprising 360 hospitals in the United States from 2018 to 2021. Diagnoses were organized into the Systematized Nomenclature of Medicine Clinical Terms (SNOMED–CT) hierarchy. Statistical analysis for the multivariable model was performed using Statistical Package for Social Sciences (SPSS version 25, IBM Corp^TM). For all analyses, a two-sided P value of < 0.05 was considered statistically significant.

RESULTS

There were a total of 19387760 patients in the database who were above 20 years of age between the years 2018-2021. Of those, 133400 were diagnosed with liver cirrhosis. The prevalence of CDI amongst the liver cirrhosis population was 134.93 per 100.000 vs 19.06 per 100.000 in non-cirrhotic patients (P < 0.0001). The multivariate analysis model uncovered that cirrhotic patients were more likely to develop CDI (OR: 1.857; 95%CI: 1.665-2.113, P < 0.0001) compared to those without any prior history of liver cirrhosis.

CONCLUSION

In this large database study, we uncovered that cirrhotic patients have a significantly higher CDI prevalence than those without cirrhosis. Liver cirrhosis may be an independent risk factor for CDI. Further prospective studies are needed to clarify this possible risk association that may lead to the implementation of screening methods in this high-risk population.