Development and Validation of a Risk Score for Clostridium difficile Infection in Medicare Beneficiaries: A Population‐Based Cohort Study

The combined effect of systemic antibiotics and proton pump inhibitors on Clostridioides difficile infection and recurrence

BACKGROUND

Antibiotics and proton pump inhibitors (PPI) are recognized risk factors for acquisition and recurrence of Clostridioides difficile infection (CDI), yet combined effects remain unclear.

OBJECTIVES

To assess the short- and long-term effects of antibiotics and PPIs on CDI risk and recurrence.

METHODS

Population-based study including all 43 152 patients diagnosed with CDI in Sweden (2006-2019), and 355 172 matched population controls without CDI. The impact of antibiotics and PPIs on CDI risk and recurrence was explored for recent (0-30 days) and preceding (31-180 days) use prior to their first CDI diagnosis, using multivariable conditional logistic regression presented as odds ratios (ORs) and 95% confidence interval, adjusted for demographics, comorbidities and other drugs.

RESULTS

Compared to controls, the combined effect of recent PPIs and antibiotics [ORAB+PPI = 17.51 (17.48-17.53)] on CDI risk was stronger than the individual effects [ORAB = 15.37 (14.83-15.93); ORPPI = 2.65 (2.54-2.76)]. Results were less pronounced for exposure during the preceding months. Dose-response analyses showed increasing exposure correlated with CDI risk [recent use: ORAB = 6.32 (6.15-6.49); ORPPI = 1.65 (1.62-1.68) per prescription increase].Compared to individuals without recurrence (rCDI), recent [ORAB = 1.30 (1.23-1.38)] and preceding [ORAB = 1.23 (1.16-1.31); ORPPI = 1.12 (1.03-1.21)] use also affected the risk of recurrence yet without significant interaction between both. Recent macrolides/lincosamides/streptogramins; other antibacterials including nitroimidazole derivates; non-penicillin beta lactams and quinolones showed the strongest association with CDI risk and recurrence, particularly for recent use. PPI use, both recent and preceding, further increased the CDI risk associated with almost all antibiotic classes.

CONCLUSION

Recent and less recent use of PPIs and systemic antibiotics was associated with an increased risk of CDI, particularly in combination.

Clostridioides difficile infection-associated cause-specific and all-cause mortality: a population-based cohort study

OBJECTIVES

Clostridioides difficile infection (CDI) is a common healthcare-associated infection and leading cause of gastroenteritis-related mortality worldwide. However, data on CDI-associated mortality are scarce. We aimed to examine the association between CDI and all-cause and cause-specific mortality. We additionally explored contributing causes of mortality, including recurrent CDI, hospital- or community-acquired CDI, chronic comorbidities, and age.

METHODS

This nationwide population-based cohort study (from 2006 to 2019) compared individuals with CDI with the entire Swedish background population using standardized mortality ratios. In addition, a matched-cohort design (1:10), utilizing multivariable Poisson-regression models, provided incidence rate ratios (IRRs) with 95% CIs.

RESULTS

This study included 43 150 individuals with CDI and 355 172 controls. In total, 69.7% were ≥65 years, and 54.9% were female. CDI was associated with a 3- to 7-fold increased mortality rate (IRR = 3.5, 95% CI: 3.3-3.6; standardized mortality ratio = 6.8, 95% CI: 6.7-6.9) compared with the matched controls and Swedish background population, respectively. Mortality rates were highest for hospital-acquired CDI (IRR = 2.4, 95% CI: 1.9-3.2) and during the first CDI episode (IRR = 0.2, 95% CI: 0.2-0.3 for recurrent versus first CDI). Individuals with CDI had more chronic comorbidities than controls, yet mortality remained higher among CDI cases even after adjustment and stratification for comorbidity; CDI was associated with increased mortality (IRR = 6.1, 95% CI: 5.5-6.8), particularly among those without any chronic comorbidities.

DISCUSSION

CDI was associated with elevated all-cause and cause-specific mortality, despite possible confounding by ill health. Mortality rates were consistently increased across sexes, all age groups, and comorbidity groups.

An integrated pipeline for prediction of Clostridioides difficile infection

With the expansion of electronic health records(EHR)-linked genomic data comes the development of machine learning-enable models. There is a pressing need to develop robust pipelines to evaluate the performance of integrated models and minimize systemic bias. We developed a prediction model of symptomatic Clostridioides difficile infection(CDI) by integrating common EHR-based and genetic risk factors(rs2227306/IL8). Our pipeline includes (1) leveraging phenotyping algorithm to minimize temporal bias, (2) performing simulation studies to determine the predictive power in samples without genetic information, (3) propensity score matching to control for the confoundings, (4) selecting machine learning algorithms to capture complex feature interactions, (5) performing oversampling to address data imbalance, and (6) optimizing models and ensuring proper bias-variance trade-off. We evaluate the performance of prediction models of CDI when including common clinical risk factors and the benefit of incorporating genetic feature(s) into the models. We emphasize the importance of building a robust integrated pipeline to avoid systemic bias and thoroughly evaluating genetic features when integrated into the prediction models in the general population and subgroups.

Microbiome profile and calprotectin levels as markers of risk of recurrent Clostridioides difficile infection

Introduction

Clostridioides difficile infection (CDI) is the main cause of nosocomial diarrhoea in developed countries. Recurrent CDI (R-CDI), which affects 20%-30% of patients and significantly increases hospital stay and associated costs, is a key challenge. The main objective of this study was to explore the role of the microbiome and calprotectin levels as predictive biomarkers of R-CDI.

Methods

We prospectively (2019-2021) included patients with a primary episode of CDI. Clinical data and faecal samples were collected. The microbiome was analysed by sequencing the hypervariable V4 region of the 16S rRNA gene on an Illumina Miseq platform.

Results

We enrolled 200 patients with primary CDI, of whom 54 developed R-CDI and 146 did not. We analysed 200 primary samples and found that Fusobacterium increased in abundance, while Collinsella, Senegalimassilia, Prevotella and Ruminococcus decreased in patients with recurrent versus non-recurrent disease. Elevated calprotectin levels correlated significantly with R-CDI (p=0.01). We built a risk index for R-CDI, including as prognostic factors age, sex, immunosuppression, toxin B amplification cycle, creatinine levels and faecal calprotectin levels (overall accuracy of 79%).

Discussion

Calprotectin levels and abundance of microbial genera such as Fusobacterium and Prevotella in primary episodes could be useful as early markers of R-CDI. We propose a readily available model for prediction of R-CDI that can be applied at the initial CDI episode. The use of this tool could help to better tailor treatments according to the risk of R-CDI.

Clostridioides difficile and colorectal cancer: a dangerous liaison

Many colorectal diseases depend on complex interactions between several pathophysiological factors, including the intestinal microbiota. In recent years, the widespread use of antibiotics has been recognized as a main cause of intestinal dysbiosis and a favouring factor for Clostridioides difficile infection. The latter, in addition, causes infectious diarrhoea, pseudomembranous colitis, and toxic megacolon by means of its toxins (A and, especially, B), is characterized by frequent relapses; thus, its persistence in a host may be long-lasting. Based on recent experimental evidence, here we analyse the possibility that, similarly to other bacteria, Clostridioides difficile may be considered a potential carcinogen for colorectal cancer.

Impact of ward pharmacist-led antimicrobial stewardship in intensive care units

Various outcomes of mortality, medical costs, and antimicrobial usage result from antimicrobial stewardship (AS) programmes. Here, we clarified the effects of AS implementation by a well-trained pharmacist in an open intensive care unit (open ICU) through a retrospective, comparative study of 5123 open ICU patients of Tokai University Hospital. The 12 months before and after AS implementation were considered the control and study periods, respectively. After AS implementation, the number of AS cases increased significantly. The period until the implementation of therapeutic drug monitoring was significantly shortened, and antimicrobial drug usage increased significantly. The methicillin-resistant Staphylococcus aureus (MRSA) detection rate decreased significantly. Earlier and more frequent AS implementation could enhance treatment effects, possibly decreasing the MRSA incidence. Despite active AS implementation, antimicrobial drug usage did not necessarily decrease. ICU pharmacists with experience in AS should take on leadership roles and implement active AS strategies in open ICU settings.

Beyond the approved: target sites and inhibitors of bacterial RNA polymerase from bacteria and fungi

Covering: 2016 to 2022RNA polymerase (RNAP) is the central enzyme in bacterial gene expression representing an attractive and validated target for antibiotics. Two well-known and clinically approved classes of natural product RNAP inhibitors are the rifamycins and the fidaxomycins. Rifampicin (Rif), a semi-synthetic derivative of rifamycin, plays a crucial role as a first line antibiotic in the treatment of tuberculosis and a broad range of bacterial infections. However, more and more pathogens such as Mycobacterium tuberculosis develop resistance, not only against Rif and other RNAP inhibitors. To overcome this problem, novel RNAP inhibitors exhibiting different target sites are urgently needed. This review includes recent developments published between 2016 and today. Particular focus is placed on novel findings concerning already known bacterial RNAP inhibitors, the characterization and development of new compounds isolated from bacteria and fungi, and providing brief insights into promising new synthetic compounds.

Burden of Clostridioides difficile infection (CDI) - a systematic review of the epidemiology of primary and recurrent CDI

BACKGROUND

Clostridioides difficile is a Gram-positive anaerobic bacterium, which causes Clostridioides difficile infection (CDI). It has been recognised as a leading cause of healthcare-associated infections and a considerable threat to public health globally. This systematic literature review (SLR) summarises the current evidence on the epidemiology and clinical burden of CDI.

METHODS

A SLR was conducted to identify CDI and recurrent CDI (rCDI) epidemiology studies, to evaluate patient and disease characteristics, incidence rates, epidemiological findings and risk factors. Embase, MEDLINE and the Cochrane Library databases were searched for English articles from 2009 to 2019. Included territories were the United Kingdom, France, Germany, Italy, Spain, Poland, US, Canada, Australia, Japan and China.

RESULTS

Of 11,243 studies identified, 165 fulfilled the selection criteria. An additional 20 studies were identified through targeted review of grey literature. The most widely reported findings were incidence and risk factors for CDI and rCDI. Among key studies reporting both healthcare-associated (HA-CDI) and community-associated CDI (CA-CDI) incidence rates for each country of interest, incidence rates per 10,000 patient days in the US were 8.00 and 2.00 for HA-CDI and CA-CDI, respectively. The highest incidence in Europe was reported in Poland (HA-CDI: 6.18 per 10,000 patient days, CA-CDI: 1.4 per 10,000 patient days), the lowest from the UK, at 1.99 per 10,000 patient days and 0.56 per 10,000 patient days for HA-CDI and CA-CDI, respectively. No clear trend for incidence over time emerged, with most countries reporting stable rates but some either a decrease or increase. Rates of recurrent CDI varied based on geographical setting. The rate of recurrence was lower in community-associated disease compared to healthcare-associated disease. Independent CDI risk factors identified common to both initial CDI and recurrent CDI included increasing age, antibiotic use, recent hospitalisation, and proton pump inhibitor (PPI) use. In addition, leukocyte count, length of hospital stays, and Charlson comorbidity index score featured as statistically significant risk factors for recurrent CDI, but these are not reported among the most common statistically significant risk factors for initial CDI.

CONCLUSIONS

Despite considerable heterogeneity, evidence suggests substantial incidence of recurrent and primary CDI, even after considerable efforts in the last decade.

Health care resource utilization and costs of recurrent Clostridioides difficile infection in the elderly: a real-world claims analysis

BACKGROUND: Clostridioides difficile infection (CDI) affected an estimated 365,000 persons in the United States in 2017. Despite a nationally decreasing trend of CDI cases, the population incidence of recurrent CDI (rCDI) has not improved. Elderly individuals (aged ≥ 65 years) are at higher risk of CDI, rCDI, and complicated CDI compared with younger individuals. OBJECTIVE: To analyze Medicare fee-for-service data for 12 months after an initial CDI episode, in order to obtain real-world data on health care resource utilization (HRU) and costs for elderly patients with CDI and rCDI. METHODS: A retrospective cohort study of patients who were aged ≥ 65 years and had a first (index) CDI diagnosis from January 1, 2010, to December 31, 2016, and continuous enrollment in Medicare Parts A, B, and D during the 12-month pre-index and 12-month post-index periods was conducted. A CDI episode was identified by either an inpatient stay with CDI diagnosis code or an outpatient medical claim with a CDI diagnosis code plus a CDI treatment. Each CDI episode was followed by a 14-day CDI claim-free period after the last CDI claim or end of CDI treatment. rCDI was a second or subsequent episode of CDI that occurred within an 8-week window after the 14-day CDI claim-free period. The number of CDI and rCDI episodes, HRU, time to recurrence, and total all-cause direct medical costs were calculated over the 12-month pre-index (baseline) and 12-month follow-up periods and stratified by number of rCDI episodes (No rCDI, 1 rCDI, 2 rCDI, 3+ rCDI). RESULTS: A total of 268,762 patients with an index CDI were included. Mean age was 78.3 years, and 69.0% were female. HRU was higher during the 6 months immediately pre-index versus 7-12 months pre-index, including a higher proportion of patients with a hospital admission (55.1% vs. 27.5%) or emergency department visit (41.3% vs. 27.4%), respectively. Moreover, 34.7% of the study population experienced rCDI. Of those who experienced 1 recurrence, 59.1% had a second recurrence, and of those who had 2 recurrences, 58.4% had a third. During the 12-month follow-up, postacute care was used by at least 70% of each rCDI cohort. The proportion of patients with ≥ 4 hospital admissions during follow-up was highest for the 3+ rCDI cohort (24.9% of patients). During the 12-month follow-up, mean total all-cause direct costs were $76,024, $99,348, $96,148, and $96,517 for the No rCDI, 1 rCDI, 2 rCDI, and 3+ rCDI cohorts, respectively, largely driven by inpatient costs. Adjusted all-cause total costs were significantly higher for all 3 rCDI cohorts compared with the No rCDI cohort. CONCLUSIONS: Elderly individuals experienced high rates of recurrence after their first CDI episode, and especially after a prior recurrence. The intensity of HRU during follow-up was higher for patients who suffered recurrences. Patients with rCDI had the burden of higher costs of care, including the patient out-of-pocket responsibility, versus patients with a single CDI episode. DISCLOSURES: Funding for this study was provided by Ferring Pharmaceuticals. Nelson is an employee of Ferring Pharmaceuticals, and Scott, Boules, and Unni were employees of Ferring Pharmaceuticals at the time of this study. Teigland and Parente are employees of Avalere Health and provided consulting services to Ferring Pharmaceuticals. Feuerstadt has served as a consultant to and on the speakers bureau for Merck and Co. and has served as a consultant for Ferring Pharmaceuticals and Roche Pharmaceuticals. Portions of the data contained in this study appeared as an abstract/ePoster for the AMCP Annual Meeting 2020, April 2020.

A Risk Score to Predict Clostridioides difficile Infection

Background

Clostridioides difficile infection (CDI) is a major cause of severe diarrhea. In this retrospective study, we identified CDI risk factors by comparing demographic and clinical characteristics for Kaiser Permanente Northern California members ≥18 years old with and without laboratory-confirmed incident CDI.

Methods

We included these risk factors in logistic regression models to develop 2 risk scores that predict future CDI after an Index Date for Risk Score Assessment (IDRSA), marking the beginning of a period for which we estimated CDI risk.

Results

During May 2011 to July 2014, we included 9986 CDI cases and 2 230 354 members without CDI. The CDI cases tended to be older, female, white race, and have more hospitalizations, emergency department and office visits, skilled nursing facility stays, antibiotic and proton pump inhibitor use, and specific comorbidities. Using hospital discharge as the IDRSA, our risk score model yielded excellent performance in predicting the likelihood of developing CDI in the subsequent 31–365 days (C-statistic of 0.848). Using a random date as the IDRSA, our model also predicted CDI risk in the subsequent 31–365 days reasonably well (C–statistic 0.722).

Conclusions

These results can be used to identify high-risk populations for enrollment in C difficile vaccine trials and facilitate study feasibility regarding sample size and time to completion.

Identification of patients at risk of Clostridioides difficile infection for enrollment in vaccine clinical trials

BACKGROUND

Clostridioides difficile infection (CDI) is an important cause of diarrheal disease associated with increasing morbidity and mortality. Efforts to develop a preventive vaccine are ongoing. The goal of this study was to develop an algorithm to identify patients at high risk of CDI for enrollment in a vaccine efficacy trial.

METHODS

We conducted a 2-stage retrospective study of patients aged ≥ 50 within the US Department of Veterans Affairs Health system between January 1, 2009 and December 31, 2013. Included patients had at least 1 visit in each of the 2 years prior to the study, with no CDI in the past year. We used multivariable logistic regression with elastic net regularization to identify predictors of CDI in months 2-12 (i.e., days 31 - 365) to allow time for antibodies to develop. Performance was measured using the positive predictive value (PPV) and the area under the curve (AUC).

RESULTS

Elements of the predictive algorithm included age, baseline comorbidity score, acute renal failure, recent infections or high-risk antibiotic use, hemodialysis in the last month, race, and measures of recent healthcare utilization. The final algorithm resulted in an AUC of 0.69 and a PPV of 3.4%.

CONCLUSIONS

We developed a predictive algorithm to identify a patient population with increased risk of CDI over the next 2-12 months. Our algorithm can be used prospectively with clinical and administrative data to facilitate the feasibility of conducting efficacy studies in a timely manner in an appropriate population.

Clostridium difficile Infection: An Epidemiology Update

Clostridium (reclassified as " Clostridioides ") difficile infection (CDI) is a healthcare-associated infection and significant source of potentially preventable morbidity, recurrence, and death, particularly among hospitalized older adults. Additional risk factors include antibiotic use and severe underlying illness. The increasing prevalence of community-associated CDI is gaining recognition as a novel source of morbidity in previously healthy patients. Even after recovery from initial infection, patients remain at risk for recurrence or reinfection with a new strain. Some pharmaco-epidemiologic studies have suggested an increased risk associated with proton pump inhibitors and protective effect from statins, but these findings have not been uniformly reproduced in all studies. Certain ribotypes of C. difficile , including the BI/NAP1/027, 106, and 018, are associated with increased antibiotic resistance and potential for higher morbidity and mortality. CDI remains a high-morbidity healthcare-associated infection, and better understanding of ribotypes and medication risk factors could help to target treatment, particularly for patients with high recurrence risk.

Hypoalbuminemia as predictor of recurrence of Clostridium difficile infection

Background

Novel drugs for Clostridium difficile (C. difficile) infections have been proven to reduce recurrent infections. Because of their high financial costs, identification of patients at high risk for recurrence is essential to provide optimal treatment. The ATLAS score’s ability to predict 90-day recurrence, disease complications and 1‑year all-cause mortality was evaluated.

Methods

144 consecutive symptomatic patients with positive stool test for C. difficile were enrolled. The ATLAS score (consisting of the variables age, temperature, leukocyte count, albumin, systemic antibiotics, serum creatinine) was calculated and patients were stratified into 4 subgroups according to their scores. A Cox regression model was used to estimate the extent to which ATLAS was associated with 90-day recurrence. Furthermore, the score was correlated with disease complications and one-year all-cause mortality.

Results

ATLAS was unable to predict 90-day recurrence (p = 0.064, HR 1.134 [0.993;1.295]), but performed well for disease complications (D = 0.382, p < 0.001, HR 1.547 [1.266;1.889]) and mortality (p < 0.001, HR 1.374 [1.194;1.583]). Serum albumin was the only parameter able to predict 90-day recurrence (p = 0.016, HR 0.958 [0.926;0.992]) and was also a predictor of disease complications (p < 0.001, HR 0.865[0.809;0.924]) and one-year all-cause mortality (p < 0.001, HR 0.923 [0.896;0.950]). A threshold of 33.1g/L (sensitivity = 56%, specificity = 80%, AUC 0.683) and 29.2g/L (sensitivity = 75%, specificity = 70%, AUC 0.763) of serum albumin could be identified to be predictive for 90-day recurrence and one-year all-cause mortality, respectively.

Conclusions

Serum albumin and ATLAS are predictors of disease complications and mortality, while only serum albumin is significantly associated with 90-day disease recurrence.

A novel scoring system for assessing the severity of electrolyte and acid-base disorders and predicting outcomes in hospitalized patients

Electrolyte and acid-base disorders are commonly seen in critically ill and other hospitalized patients. A scoring system is needed to assess the severity of electrolyte and acid-base disorders and to predict outcome in hospital patients. Herein, we prospectively enrolled a total of 322,046 patients, including 84,700 patients in the derivation cohort and 237,346 in the validation cohort, in a large, tertiary hospital in East China from 2014 to 2017. A points-scoring system of general electrolyte and acid-base disorders with a sum of 20.8 points was generated by multiple logistic regression analysis of the derivation cohort. Receiver operating characteristic curve analysis showed that the optimal cut-off value of 2.0 was associated with 65.4% sensitivity and 88.4% specificity (area under the curve: 0.818 (95% CI 0.809 to 0.827)) to predict hospital mortality in the validation cohort. On Kaplan-Meier survival analysis, the five intervals of risk score (Q1: 0 to 2.0; Q2: 2.1 to 2.5; Q3: 2.6 to 3.3; Q4: 3.4 to 4.5; and Q5: >4.5 points) showed differences in hospital survival (p<0.001). Elevated (delta) risk score >2 during hospitalization increased the risk of hospital death, while those with a delta risk score <0 and <−2 points had higher survival rates. This novel scoring system could be used to evaluate and to dynamically monitor the severity of electrolyte and acid-base disorders in hospitalized patients.

Multicentre derivation and validation of a simple predictive index for healthcare-associated Clostridium difficile infection

OBJECTIVES

Clostridium difficile infection (CDI) is the most common cause of healthcare-associated infections in the United States. Despite well-established risk factors, little research has focused on use of these variables to identify a patient population at high risk for CDI to target with primary prevention strategies. A predictive index for healthcare-associated CDI could improve clinical care and guide research for primary prevention trials. Our objective was to develop a predictive index to identify patients at high risk for healthcare-associated CDI.

METHODS

We performed a secondary database analysis in a five-hospital health system in Houston, Texas. Our cohort consisted of 97 130 hospitalized patients admitted for more than 48 hours between October 2014 and September 2016. The derivation cohort consisted of the initial 80% of admissions (75 545 patients), with the remainder being used in the validation cohort.

RESULTS

CDI rates in the derivation and validation cohorts were 1.55% and 1.43%, respectively. Thirty-day predictors of CDI were increased number of high-risk antibiotics, Charlson comorbidity index score, age and receipt of a proton pump inhibitor. These variables were incorporated into a simple risk index with a score range of 0 to 10. The final model demonstrated good discrimination and calibration with the observed CDI incidence ranging from 0.1% to 20.4%.

CONCLUSIONS

We developed a predictive index for 30-day risk of healthcare-associated CDI using readily available and clinically useful variables. This simple predictive risk index may be used to improve clinical decision making and resource allocation for CDI stewardship initiatives, and guide research design.

Infection Trends in US Nursing Homes, 2006-2013

OBJECTIVES

The objectives of this study were to estimate trends in the prevalence of infections in nursing home (NH) residents using 2006-2013 Minimum Data Set (MDS) data, estimate the number of all infections in 2013, and evaluate differences in trends between MDS versions 2.0 and 3.0.

DESIGN

Retrospective study.

SETTING

NHs in the United States.

PARTICIPANTS

All NH residents with a quarterly or annual MDS assessment in 2006-2013 (n = 30,366,807 assessments).

MEASUREMENTS

MDS 2.0 and 3.0 quarterly and annual assessment data (2006-2013) from over 15,000 NHs were used to estimate the 7-day prevalence of multidrug-resistant organism (MDRO) infection, pneumonia, septicemia, viral hepatitis, and wound infection and 30-day prevalence of urinary tract infection (UTI). Admission assessments were excluded. Annual infection counts were estimated using 2013 data. Changes in the prevalence of reported infections over time and differences in trends between MDS 2.0 and 3.0 were examined using tests of linear trends.

RESULTS

In 2013, there were an estimated 1.13 to 2.68 million infections in NH residents. UTI and pneumonia were the most commonly reported infections in every quarter, ranging from 5.6% to 8.1% and 1.4% to 2.5%, respectively. Prevalence of all infections increased in 2006-2010 (P values < .01). In 2011-2013, prevalence of UTI, MDRO, and wound infections decreased and viral hepatitis increased (P values < .0001). Between MDS 2.0 and 3.0, the prevalence of UTI, MDRO, and wound infections decreased and the prevalence of viral hepatitis increased (P values < .0001).

CONCLUSION

Infections are a major and persistent problem in NHs. Although MDS data are useful for identifying trends in infection prevalence, revisions in definitions need to be accounted for when evaluating trends over time. Additional research is needed to identify factors that contribute to changes in infection prevalence.

Probiotic containing Lactobacillus casei, Lactobacillus bulgaricus, and Streptococcus thermophiles (ACTIMEL) for the prevention of Clostridium difficile associated diarrhoea in the elderly with proximal femur fractures

The incidence of Clostridium difficile associated diarrhoea (CDAD) is greater in elderly patients. Probiotics may have a beneficial effect in the prevention of CDAD. However, their effect in elderly orthopaedic patients has not been previously reported. Between April 2013 and April 2014, 105 patients admitted with femoral neck fractures, and who required 3days of antibiotics for infection of any cause, were prescribed the probiotic ACTIMEL until 3days after the last antibiotic dose. The incidence of CDAD was compared with historical controls (April 2011￢ﾀﾓApril 2012). There was no significant reduction in the incidence of CDAD in patients receiving probiotics (OR: 0.9; 95% CI 0.27￢ﾀﾓ2.91; p=0.8) and therefore we cannot recommend the use of ACTIMEL containing Lactobacillus casei, Lactobacillus bulgaricus, and Streptococcus thermophiles for this purpose in this patient group.