scholarly journals Highly Local Clostridioides difficile Infection (CDI) Pressure as Risk Factors for CDI

2020 ◽  
Vol 41 (S1) ◽  
pp. s250-s250
Author(s):  
Talal Riaz ◽  
Nabeel Khan ◽  
Philip Polgreen ◽  
Alberto Segre ◽  
Daniel Sewell ◽  
...  

Background. Colonization pressure at the unit level is known to be a risk factor for Clostridioides difficile infections in hospitals. Because C. difficile colonization is not routinely detected in clinical practice, only patients identified as having C. difficile infection (CDI) are included in these pressure calculations. We used data from the University of Iowa Hospitals and Clinics (UIHC) to determine whether highly local CDI pressure, due to patients in nearby rooms, is more strongly correlated with CDI than unit-level CDI pressure. Methods: We designed a base logistic regression model using variables known to be risk factors for CDI: age, antibiotic/gastric acid suppressor use, low albumin, prior hospitalization, comorbidities. To the base model, we add 2 measures, mean colonization pressure (MCP) and sum colonization pressure (SCP) of CDI at the unit level to obtain new models. To the base model, we also added CDI colonization pressure by considering CDI cases at different distance thresholds from the focal patient. Distances between patient rooms were extracted from hospital floor plans. Results: Adding unit-level CDI colonization pressures to the base model improved performance. However, adding CDI colonization pressures due to roommates and due to patients at different distances improved the model much more (Table 1). The top (resp. bottom) row shows in-sample (resp. out-of-sample) C-statistics for the base model, the base model with unit-level MCP, the base model with roommate MCP, and the base model with MCP from patients are different distances added as separate features. C-statistics for the base model and the base model with unit CDI pressure (SCP and MCP) are compared in Fig. 1 with C-statistics from the base model with CDI pressure from patients at distances D = 0, 1, 2, 3, 4, 5, 10, 15, 20 hops (1 hop = 5–6 meters). Conclusions: Our results support the hypothesis that unit CDI colonization pressure is a risk factor for CDI. However, by incorporating spatially granular notions of distances between patients in our analysis, we were able to demonstrate that the true source of CDI pressure at the UIHC is almost exclusively attributable to roommates and patients in adjacent rooms.Funding: NoneDisclosures: None

Author(s):  
Srishti Saha ◽  
Kristin Mara ◽  
Darrell S Pardi ◽  
Sahil Khanna

Abstract Background Fecal microbiota transplantation (FMT) is highly effective for preventing recurrent Clostridioides difficile infection (CDI). Durability (no recurrence despite additional risk factor exposure) of FMT protection is largely unknown. We studied the durability of FMT in patients with recurrent CDI. Methods We conducted a retrospective study of adults undergoing FMT for recurrent CDI. Data collected included demographics, CDI risk factors (comorbidities, healthcare exposure, non-CDI antibiotic use, acid suppressant medications), and future CDI episodes. Durable response to FMT was defined as lack of CDI episodes within 1 year post-FMT despite risk factor exposure. Results Overall, 460 patients were included (median age, 57 years [18–94]; 65.2% female). Comorbidities included chronic liver disease, 12.8% (n = 59); cancer, 11.7% (n = 54); chronic kidney disease, 3.9% (n = 18); and inflammatory bowel disease, 21.9% (n = 101). Overall, 31.3% (n = 144) received antibiotics, 21.7% (n = 100) received acid suppressants, and 76.8% (n = 350) had healthcare exposure after FMT. Of 374 patients with risk factor exposure, 78.1% (95% confidence interval [CI], 72.7%–84.0%) had durable response to FMT at 1 year. On multivariable analysis, antibiotic use was independently associated with decreased durability of FMT (hazard ratio, 0.27; 95% CI, .15–.49; P < .001). Conclusions The majority of patients had a durable response to FMT despite exposure to CDI risk factors. Antibiotic exposure after FMT independently predicted loss of durability of FMT. Larger studies are needed to define predictors of durable response in patients with and without exposure to antibiotics.


2021 ◽  
Vol 25 ◽  
pp. 18-22
Author(s):  
Jamie L. Wagner ◽  
Kayla R. Stover ◽  
Allison M. Bell ◽  
Katie E. Barber

Author(s):  
Stephanie M. Cabral ◽  
Katherine E. Goodman ◽  
Natalia Blanco ◽  
Surbhi Leekha ◽  
Larry S. Magder ◽  
...  

Abstract Objective: To determine whether electronically available comorbidities and laboratory values on admission are risk factors for hospital-onset Clostridioides difficile infection (HO-CDI) across multiple institutions and whether they could be used to improve risk adjustment. Patients: All patients at least 18 years of age admitted to 3 hospitals in Maryland between January 1, 2016, and January 1, 2018. Methods: Comorbid conditions were assigned using the Elixhauser comorbidity index. Multivariable log-binomial regression was conducted for each hospital using significant covariates (P < .10) in a bivariate analysis. Standardized infection ratios (SIRs) were computed using current Centers for Disease Control and Prevention (CDC) risk adjustment methodology and with the addition of Elixhauser score and individual comorbidities. Results: At hospital 1, 314 of 48,057 patient admissions (0.65%) had a HO-CDI; 41 of 8,791 patient admissions (0.47%) at community hospital 2 had a HO-CDI; and 75 of 29,211 patient admissions (0.26%) at community hospital 3 had a HO-CDI. In multivariable regression, Elixhauser score was a significant risk factor for HO-CDI at all hospitals when controlling for age, antibiotic use, and antacid use. Abnormal leukocyte level at hospital admission was a significant risk factor at hospital 1 and hospital 2. When Elixhauser score was included in the risk adjustment model, it was statistically significant (P < .01). Compared with the current CDC SIR methodology, the SIR of hospital 1 decreased by 2%, whereas the SIRs of hospitals 2 and 3 increased by 2% and 6%, respectively, but the rankings did not change. Conclusions: Electronically available patient comorbidities are important risk factors for HO-CDI and may improve risk-adjustment methodology.


2019 ◽  
Vol 6 (Supplement_2) ◽  
pp. S545-S545
Author(s):  
Holly Yu ◽  
Nestor Flaster ◽  
Adrian Casanello ◽  
Daniel Curcio

Abstract Background In contrast to Europe and North America, little is known about Clostridioides difficile infection (CDI) in Latin America, especially about risk factors, mortality, and healthcare utilization. Methods We conducted a retrospective, case–control study at eight hospital centers in Brazil, Mexico, Argentina, and Chile. Hospital databases and medical records were used to identify nosocomial CDI cases from January 1, 2014 to December 31, 2017. CDI cases were patients with diarrhea and a positive CDI testing ≥72 hours after hospital admission. Two controls with no CDI diagnosis and diarrhea were matched to each CDI case and were required to (1) have a length of hospital stay (LOS) ≥ 3 days, (2) be admitted ±14 days from the case, and (3) share the same ward. Risk factors associated with CDI were assessed by conditional logistic regression. Mortality and healthcare utilization were compared between cases and controls. Results A total of 1,443 patients (≥18 years old) who met eligibility criteria were selected (481 cases and 962 controls). Comparing cases to controls, the mean age and gender representation were similar (age: 58.7 vs. 56.7 years, P = 0.269; male: 56.3% vs. 53.4%, P = 0.293), but comorbidity was higher (mean Charlson Comorbidity index: 4.3 vs. 3.6, p Conclusion Antibiotic exposure, existing medical conditions, and recent hospital admission are CDI major risk factors in Latin America. CDI also increased in-hospital death risk and LOS. These findings are consistent with published literature in developed countries. Disclosures All authors: No reported disclosures.


2021 ◽  
Vol 99 (4) ◽  
pp. 115283
Author(s):  
Ellen Axenfeld ◽  
William G. Greendyke ◽  
Jianhua Li ◽  
Daniel A. Green ◽  
Susan Whittier ◽  
...  

2020 ◽  
Vol 9 (3) ◽  
pp. 614
Author(s):  
Manuel Méndez-Bailón ◽  
Rodrigo Jiménez-García ◽  
Valentín Hernández-Barrera ◽  
Javier de Miguel-Díez ◽  
José M. de Miguel-Yanes ◽  
...  

Background: We aimed to (1) analyze time trends in the incidence and in-hospital outcomes of heart failure (HF) patients suffering Clostridioides difficile infection (CDI); (2) compare clinical characteristics of CDI patients between those with HF and matched non-HF patients; and (3) identify predictors of in-hospital mortality (IHM) among HF patients suffering CDI. Methods: Retrospective study using the Spanish National Hospital Discharge Database from 2001 to 2015. Patients of age ≥40 years with CDI were included. For each HF patient, we selected a year, age, sex, and readmission status-matched non-HF patient. Results: We found 44,695 patients hospitalized with CDI (15.46% with HF). HF patients had a higher incidence of CDI (202.05 vs. 145.09 per 100,000 hospitalizations) than patients without HF (adjusted IRR 1.35; 95% CI 1.31–1.40). IHM was significantly higher in patients with HF when CDI was coded as primary (18.39% vs. 7.63%; p < 0.001) and secondary diagnosis (21.12% vs. 14.76%; p < 0.001). Among HF patient’s predictor of IHM were older age (OR 8.80; 95% CI 2.55–20.33 for ≥85 years old), those with more comorbidities (OR 1.68; 95% CI 1.12–2.53 for those with Charlson Comorbidity index ≥2), and in those with severe CDI (OR 6.19; 95% CI 3.80–10.02). Conclusions: This research showed that incidence of CDI was higher in HF than non-HF patients. HF is a risk factor for IHM after suffering CDI.


2020 ◽  
Vol 48 (12) ◽  
pp. 1426-1430
Author(s):  
Hüseyin Bilgin ◽  
Elvan Sayın ◽  
Hande Perk Gürün ◽  
Elif Tükenmez-Tigen ◽  
Nurver Ülger Toprak ◽  
...  

2019 ◽  
Vol 6 (12) ◽  
Author(s):  
Nandita S Mani ◽  
John B Lynch ◽  
Ferric C Fang ◽  
Jeannie D Chan

Abstract We aim to describe the characteristics, risk factors, and clinical outcomes associated with NAP1 strain Clostridioides difficile infection (CDI) in this single-center, retrospective, case–control (1:1) study. We found that the NAP1 strain accounted for 19.7% of CDI, and risk factors for acquisition included residence in skilled nursing facilities, previous CDI, and proton pump inhibitor use.


2020 ◽  
pp. 11-21

Clostridioides difficile infection (CDI) is a leading cause of a healthcare-associated diarrhea worldwide. Recently, an increased number of new cases and growing mortality due to CDI have been observed. Patients suffering from end-stage renal disease (ESRD) are most exposed to CDI. It has been proven that CDI in patients receiving renal replacement therapy (RRT) significantly increases mortality, prolongs hospitalization and increases the cost of treatment. Important risk factors of CDI in ERSD patients include hospitalization or stay in an intensive care unit in the last 90 days, HIV infection, bacteremia, prolonged antibiotic therapy and hypoalbuminemia. Cirrhosis, age over 65 years, hypoalbuminemia, longer hospitalization time and use of antibiotics are significant risk factors of death. Effective methods of preventing CDI include hand hygiene with soap and water, isolation of infected patients in a private room with a dedicated toilet, the use of masks, gloves, disinfection of the environment and systematic education and control of medical personnel, as well as rational antibiotic policy. In addition, it is important to avoid antibiotics with a proven risk of CDI, caution use of proton pump inhibitors (PPI) and H2 receptor antagonists. It is also important in the prevention of CDI in people with ERSD, to apply a fast diagnostic since the onset of the first symptoms. The use of probiotics and bile acids in the primary prevention of CDI requires further research. It seems that knowledge of these factors and methods of prevention will significantly reduce morbidity and mortality due to CDI.


2021 ◽  
Author(s):  
Tessel Meike van Rossen ◽  
Rogier E. Ooijevaar ◽  
Christina M.J.E. Vandenbroucke-Grauls ◽  
Olaf M. Dekkers ◽  
Ed J. Kuijper ◽  
...  

Background Clostridioides difficile infection (CDI), its subsequent recurrences (rCDI), and severe CDI (sCDI) provide a significant burden for both patients and the healthcare system. Treatment consists of oral antibiotics. Fidaxomicin, bezlotoxumab and fecal microbiota transplantion (FMT) reduce the number of recurrences compared to vancomycin, but are more costly. Identifying patients diagnosed with initial CDI who are at increased risk of developing sCDI/rCDI could lead to more cost-effective therapeutic choices. Objectives In this systematic review we aimed to identify clinical prognostic factors associated with an increased risk of developing sCDI or rCDI. Methods PubMed, Embase, Emcare, Web of Science and COCHRANE Library databases were searched from database inception through March, 2021. Study selection was performed by two independent reviewers on the basis of predefined selection criteria; conflicts were resolved by consensus. Cohort and case-control studies providing an analysis of clinical or laboratory data to predict sCDI/rCDI in patients ≥18 years diagnosed with CDI, were included. Risk of bias was assessed with the Quality in Prognostic Research (QUIPS) tool and the quality of evidence by the Grading of Recommendations Assessment, Development and Evaluation (GRADE) tool, modified for prognostic studies. Overview tables of prognostic factors were constructed to assess the number of studies and the respective direction of an association (positive, negative, or no association). Results and conclusions 136 studies were included for final analysis. Higher age and the presence of multiple comorbidities were prognostic factors for sCDI. Identified risk factors for rCDI were higher age, healthcare-associated CDI, prior hospitalization, PPIs started during/after CDI diagnosis and previous rCDI. Some variables that were found as risk factors for sCDI/rCDI in previous reviews were not confirmed in the current review, which can be attributed to differences in methodology. Risk stratification for sCDI/rCDI may contribute to a more personalized and optimal treatment for patients with CDI.


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