scholarly journals 96. Impact of Hospital-Based Pharmacist Discharge Prescription Review on the Appropriateness of Antibiotic Therapy

2021 ◽  
Vol 8 (Supplement_1) ◽  
pp. S163-S163
Author(s):  
Amy Spigelmyer ◽  
Catessa Howard ◽  
Ilya Rybakov ◽  
Sheena Burwell ◽  
Douglas Slain
Keyword(s):  
Antimicrobial Stewardship ◽  
Group Versus ◽  
Antibiotic Prescribing ◽  
Readmission Rates ◽  
Retrospective Assessment ◽  
Clostridioides Difficile ◽  
Increased Risk ◽  
Tract Infections ◽  
The Impact ◽  
Discharge Prescription

Abstract Background Inappropriate antibiotic prescribing upon hospital discharge poses an increased risk of excess costs, adverse drug reactions, readmission, and resistance. Despite high rates of antibiotic prescription errors upon discharge, there is no widely accepted antimicrobial stewardship initiative to prevent such errors. This study evaluated the impact of hospital-based clinical pharmacist discharge prescription review on the appropriateness of antibiotic prescriptions. Methods This was a retrospective assessment of patients with discharge antibiotic prescriptions for treatment of pneumonia, urinary tract infections, Clostridioides difficile infections, acute skin and skin structure infections (ABSSSI), or Gram-negative bacteremia between January 2019 and July 2020. The two cohorts that were studied were patients on Hospitalist services versus patients on Medicine services, in which only the Medicine services had rounding pharmacists who perform discharge prescription reviews. Outcomes included demographics, appropriateness of therapy, 30-day readmission rates, and error types in discharge prescriptions. Appropriateness of therapy was validated by evidence-based guidelines and three Infectious Diseases-trained pharmacists. Results Our study included 300 patients, 150 per cohort. Baseline characteristics were similar between groups, with the exception of increased age (p=0.025) and fewer cases of ABSSSI (p=0.001) in the Hospitalist cohort. A statistically significant higher rate of inappropriateness was seen in the Hospitalist group versus Medicine (pharmacist) group, [69/150 (46% versus 25/150 (17%, respectively (p< 0.00001)]. The difference in appropriateness was mainly driven by pneumonia and UTI prescriptions. Thirty day readmission rates were 17% (26/150) for the Hospitalist cohort versus 11% (16/150) in the Medicine (pharmacist) cohort (p=0.134). The most common prescription error was the duration of therapy. Conclusion Appropriateness of antibiotic discharge prescriptions significantly improved in the setting of pharmacist discharge prescription review. This initiative highlights the important role of clinical pharmacists in the setting of outpatient antimicrobial stewardship. Disclosures All Authors: No reported disclosures

scholarly journals 2046. A Qualitative Study on Perceived Barriers and Facilitators of Implementing an Antimicrobial Stewardship Intervention in the Management of Urinary Tract Infections in a Long-Term Care Setting

2019 ◽  
Vol 6 (Supplement_2) ◽  
pp. S688-S689
Author(s):  
April Chan ◽  
Denis O’Donnell ◽  
Benjamin Kaasa ◽  
Annalise Mathers ◽  
Nicoleta Paraschiv ◽  
...  
Keyword(s):  
Urinary Tract ◽  
Antimicrobial Stewardship ◽  
Long Term Care ◽  
Structured Interview ◽  
Barriers And Facilitators ◽  
Antibiotic Prescribing ◽  
Term Care ◽  
Increased Risk ◽  
Tract Infections

Abstract Background 50% of antibiotic courses in long-term care facilities (LTCFs) are unnecessary, leading to increased risk of harm such as Clostridiodes difficile infection and antibiotic-resistant organisms. Antimicrobial stewardship (AS) interventions play an important role in optimizing antibiotic use. Most studies addressing strategies to improve antibiotic prescribing in LTCFs showed modest and unsustained results. We aimed to identify facilitators, barriers and strategies in implementing a urinary tract infection (UTI)-focused AS intervention at an LTCF in Toronto. Methods A qualitative approach using conventional content analysis was used. Through purposeful sampling, we recruited different LTCF healthcare providers and administrators at Kensington Gardens. Interviewees attended focus groups or one-on-one interviews. Data were collected using a semi-structured interview guide. Data were analyzed inductively using a codebook modified in an iterative analytic process. Barriers and facilitators with potential strategies were summarized and mapped using the COM-B (capability, opportunity, motivation and behavior) model (Mitchie et al.) and emerging themes identified. Results Sixteen participants were interviewed. The most common barriers were family pressure, lack of access and test result delay while the barrier themes were lack of access, inadequate communication, lack of time and lack of knowledge of both HCPs and resident’s families. These can be addressed by the most common facilitators and facilitator themes, which included good communication between healthcare professionals (HCPs), education for HCPs and families and collaboration between HCPs. Most barriers and facilitators were mapped to the opportunities domain of the COM-B model. Conclusion Strategies for improved UTI-focused antimicrobial stewardship intervention in LTC setting should focus on increasing opportunities and innovative formats for education, communication and collaboration among HCPs and with families although barriers and facilitators in all aspects of the COM-B model were identified. Disclosures All authors: No reported disclosures.

scholarly journals 1413. Effect of Automated Identification of Antimicrobial Stewardship Opportunities for Urinary Tract Infections

2021 ◽  
Vol 8 (Supplement_1) ◽  
pp. S791-S792
Author(s):  
Connor Deri ◽  
Rebekah Wrenn ◽  
Rebekah W Moehring ◽  
Justin Spivey ◽  
Michael E Yarrington
Keyword(s):  
Median Time ◽  
Antimicrobial Stewardship ◽  
Best Practice ◽  
Asymptomatic Bacteriuria ◽  
Clinical Decision ◽  
Automated Identification ◽  
Exact Test ◽  
Increased Risk ◽  
Tract Infections ◽  
The Impact

Abstract Background The treatment of asymptomatic bacteriuria (ASB) does not improve clinical outcomes in most patients and may be associated with an increased risk of adverse events such as Clostridioides difficile infection. A best practice alert (BPA) was created to identify patients with possible ASB for antimicrobial stewardship (AS) review. We aimed to determine whether automated identification of ASB improved the timing of stewardship intervention. Methods An electronic health record BPA message to inpatient AS pharmacists was activated on 01/19/2021. The BPA identified inpatients with a new antibiotic order with an associated genitourinary indication and a preceding urinalysis with 0 to 5 WBC/hpf. BPAs were reviewed by an AS pharmacist during weekdays and normal business hours. We retrospectively evaluated the impact of the BPA on time from order to stewardship intervention between a cohort of pre-BPA (01/2020 to 12/2020) and post-BPA (01/20/2021 to 04/10/2021) patients. Included patients met the BPA criteria and had an AS intervention within 7 days of the antibiotic order. We specified interventions that were UTI-related. The median time from antibiotic order entry to any AS intervention was compared pre- to post-BPA using the Mann Whitney U test. Rates of UTI-related interventions were compared with Fisher’s Exact test. Results 327 antibiotic orders met BPA criteria and were analyzed: 245 and 82 in the pre- and post-BPA group, respectively. Groups had similar baseline characteristics (Table 1). A total of 33 (27 UTI-related) pre-BPA group and 24 (17 UTI-related) post-BPA group interventions were documented by the AS team. The median time to any intervention was 28 hours (IQR 18-64.5) in the pre-BPA group compared to 13.5 hours (IQR 3.5-28.75) in the post-BPA group (p = 0.03, Figure). The pre-BPA group had a lower rate of UTI-related interventions compared to the post-BPA group (11.0% vs 20.7%, p = .04). Conclusion Automated identification of antibiotics targeting UTI with urinalysis showing absence of pyuria reduced the time to stewardship intervention and increased rate of UTI-specific interventions. The use of clinical decision support may aid in efficiency of AS review and syndrome-targeted AS impact. Disclosures Rebekah W. Moehring, MD, MPH, UpToDate, Inc. (Other Financial or Material Support, Author Royalties)

Impact of removing ESBL designation from culture reports on the selection of antibiotics for the treatment of infections associated with ESBL-producing organisms

2020 ◽  
Vol 41 (5) ◽  
pp. 604-607 ◽  
Author(s):  
Mark D. Lesher ◽  
Cory M. Hale ◽  
Dona S. S. Wijetunge ◽  
Matt R. England ◽  
Debra S. Myers ◽  
...  
Keyword(s):  
Antimicrobial Stewardship ◽  
Antibiotic Prescribing ◽  
The Impact ◽  
Inhibitor Combination ◽  
Lactamase Inhibitor ◽  
Selection Of

AbstractWe characterized the impact of removal of the ESBL designation from microbiology reports on inpatient antibiotic prescribing. Definitive prescribing of carbapenems decreased from 48.4% to 16.1% (P = .01) and β-lactam–β-lactamase inhibitor combination increased from 19.4% to 61.3% (P = .002). Our findings confirm the importance of collaboration between microbiology and antimicrobial stewardship programs.

scholarly journals 229. Hospitalists Antimicrobial Scorecard Improves Antibiotic Prescribing at a Community Teaching Hospital

2020 ◽  
Vol 7 (Supplement_1) ◽  
pp. S116-S116
Author(s):  
Julia Sessa ◽  
Helen Jacoby ◽  
Bruce Blain ◽  
Lisa Avery
Keyword(s):  
Patient Care ◽  
Teaching Hospital ◽  
Antimicrobial Stewardship ◽  
Rank Order ◽  
Antibiotic Use ◽  
Outpatient Setting ◽  
Antibiotic Prescribing ◽  
Full Time ◽  
Days Of Therapy ◽  
The Impact

Abstract Background Measuring antimicrobial consumption data is a foundation of antimicrobial stewardship programs. There is data to support antimicrobial scorecard utilization to improve antibiotic use in the outpatient setting. There is a lack of data on the impact of an antimicrobial scorecard for hospitalists. Our objective was to improve antibiotic prescribing amongst the hospitalist service through the development of an antimicrobial scorecard. Methods Conducted in a 451-bed teaching hospital amongst 22 full time hospitalists. The antimicrobial scorecard for 2019 was distributed in two phases. In October 2019, baseline antibiotic prescribing data (January – September 2019) was distributed. In January 2020, a second scorecard was distributed (October – December 2019) to assess the impact of the scorecard. The scorecard distributed via e-mail to physicians included: Antibiotic days of therapy/1,000 patient care days (corrected for attending census), route of antibiotic prescribing (% intravenous (IV) vs % oral (PO)) and percentage of patients prescribed piperacillin-tazobactam (PT) for greater than 3 days. Hospitalists received their data in rank order amongst their peers. Along with the antimicrobial scorecard, recommendations from the antimicrobial stewardship team were included for hospitalists to improve their antibiotic prescribing for these initiatives. Hospitalists demographics (years of practice and gender) were collected. Descriptive statistics were utilized to analyze pre and post data. Results Sixteen (16) out of 22 (73%) hospitalists improved their antibiotic prescribing from pre- to post-scorecard (χ 2(1)=3.68, p = 0.055). The median antibiotic days of therapy/1,000 patient care days decreased from 661 pre-scorecard to 618 post-scorecard (p = 0.043). The median PT use greater than 3 days also decreased significantly, from 18% pre-scorecard to 11% post-scorecard (p = 0.0025). There was no change in % of IV antibiotic prescribing and no correlation between years of experience or gender to antibiotic prescribing. Conclusion Providing antimicrobial scorecards to our hospitalist service resulted in a significant decrease in antibiotic days of therapy/1,000 patient care days and PT prescribing beyond 3 days. Disclosures All Authors: No reported disclosures

scholarly journals 216. Are Automatic Antimicrobial Stop Orders an Effective Stewardship Tool for Urinary Tract and Intra-Abdominal Infections?

2020 ◽  
Vol 7 (Supplement_1) ◽  
pp. S110-S110
Author(s):  
Christina Maguire ◽  
Dusten T Rose ◽  
Theresa Jaso
Keyword(s):  
Urinary Tract ◽  
Antimicrobial Therapy ◽  
Source Control ◽  
Clostridioides Difficile ◽  
Days Of Therapy ◽  
Before And After ◽  
The Difference ◽  
Tract Infections ◽  
Length Of Therapy ◽  
The Impact

Abstract Background Automatic antimicrobial stop orders (ASOs) are a stewardship initiative used to decrease days of therapy, prevent resistance, and reduce drug costs. Limited evidence outside of the perioperative setting exists on the effects of ASOs on broad spectrum antimicrobial use, discharge prescription duration, and effects of missed doses. This study aims to evaluate the impact of an ASO policy across a health system of adult academic and community hospitals for treatment of intra-abdominal (IAI) and urinary tract infections (UTI). ASO Outcome Definitions ASO Outcomes Methods This multicenter retrospective cohort study compared patients with IAI and UTI treated before and after implementation of an ASO. Patients over the age of 18 with a diagnosis of UTI or IAI and 48 hours of intravenous (IV) antimicrobial administration were included. Patients unable to achieve IAI source control within 48 hours or those with a concomitant infection were excluded. The primary outcome was the difference in sum length of antimicrobial therapy (LOT). Secondary endpoints include length and days of antimicrobial therapy (DOT) at multiple timepoints, all cause in hospital mortality and readmission, and adverse events such as rates of Clostridioides difficile infection. Outcomes were also evaluated by type of infection, hospital site, and presence of infectious diseases (ID) pharmacist on site. Results This study included 119 patients in the pre-ASO group and 121 patients in the post-ASO group. ASO shortened sum length of therapy (LOT) (12 days vs 11 days respectively; p=0.0364) and sum DOT (15 days vs 12 days respectively; p=0.022). This finding appears to be driven by a decrease in outpatient LOT (p=0.0017) and outpatient DOT (p=0.0034). Conversely, ASO extended empiric IV LOT (p=0.005). All other secondary outcomes were not significant. Ten patients missed doses of antimicrobials due to ASO. Subgroup analyses suggested that one hospital may have influenced outcomes and reduction in LOT was observed primarily in sites without an ID pharmacist on site (p=0.018). Conclusion While implementation of ASO decreases sum length of inpatient and outpatient therapy, it may not influence inpatient length of therapy alone. Moreover, ASOs prolong use of empiric intravenous therapy. Hospitals without an ID pharmacist may benefit most from ASO protocols. Disclosures All Authors: No reported disclosures

scholarly journals 1138. Script for Pediatrics: Creating a Smartphone Application to Improve Antimicrobial Prescribing

2019 ◽  
Vol 6 (Supplement_2) ◽  
pp. S405-S405
Author(s):  
Sarah Primhak ◽  
Natasha Pool ◽  
Gayl Humphrey ◽  
Lesley Voss ◽  
Rachel H Webb ◽  
...  
Keyword(s):  
Decision Making ◽  
Antimicrobial Stewardship ◽  
Point Of Care ◽  
Smartphone Application ◽  
Antibiotic Prescribing ◽  
Oral Antibiotic ◽  
Duration Of Treatment ◽  
Antibiotic Allergy ◽  
Alternative Agent ◽  
The Impact

Abstract Background When considering antimicrobial stewardship (AMS) interventions, pediatrics is an important and often overlooked group. By 5 years of age, 97% of New Zealand (NZ) children have received antibiotics (median 8 antibiotic courses/child). Prescribing is complex due to age and weight-based adjustments, unpalatable oral preparations and inappropriate allergy labeling. Our tertiary Children’s Hospital has >250 web-based nationally utilized guidelines, 15% including antimicrobials. A point prevalence audit showed only 63% guideline adherence for inpatient antimicrobial prescriptions. We designed an accessible app to bring antibiotic prescribing and antibiotic allergy decision-making to prescribers at point of care. Methods Using local hospital and community guidelines, the national formulary and in consultation with subspecialist teams, 31 algorithms were developed. Each algorithm asked questions including diagnosis, age, antibiotic allergy history and known colonization with-resistant organisms. Results The smartphone app (Script) uses the algorithms to advise on appropriate antimicrobial, dose, route and duration of treatment. Advice regarding IV-oral switch parameters and oral antibiotic choice is provided. If allergy is suspected symptom-based decision-making enables the user to choose an alternative agent or encourages allergy de-labeling. Further AMS occurs in some algorithms when advice is given not to prescribe antimicrobials. Conclusion Script for Pediatrics launched in NZ in March 2019 with >1000 users in the first 6 weeks. The most frequently accessed guidelines are otitis media, pneumonia and meningitis. Smartphone applications with local relevance and the ability to update in real-time may prove important tools, by providing easily accessible and intuitive advice to help support antimicrobial stewardship activities. This intervention has been rapidly adopted by pediatric hospital prescribers. The impact on prescribing in concordance with guidelines, timely intravenous to oral antibiotic switch and allergy de-labeling will be assessed. Disclosures All authors: No reported disclosures.

scholarly journals Development of an Electronic Algorithm to Identify Inappropriate Antibiotic Prescribing for Pediatric Pharyngitis

2020 ◽  
Vol 41 (S1) ◽  
pp. s188-s189
Author(s):  
Jeffrey Gerber ◽  
Robert Grundmeier ◽  
Keith Hamilton ◽  
Lauri Hicks ◽  
Melinda Neuhauser ◽  
...  
Keyword(s):  
Predictive Value ◽  
Gold Standard ◽  
Antibiotic Stewardship ◽  
Chart Review ◽  
Antibiotic Use ◽  
Audit And Feedback ◽  
Urgent Care ◽  
Antibiotic Prescribing ◽  
Tract Infections ◽  
The Impact

Background: Antibiotic overuse contributes to antibiotic resistance and unnecessary adverse drug effects. Antibiotic stewardship interventions have primarily focused on acute-care settings. Most antibiotic use, however, occurs in outpatients with acute respiratory tract infections such as pharyngitis. The electronic health record (EHR) might provide an effective and efficient tool for outpatient antibiotic stewardship. We aimed to develop and validate an electronic algorithm to identify inappropriate antibiotic use for pediatric outpatients with pharyngitis. Methods: This study was conducted within the Children’s Hospital of Philadelphia (CHOP) Care Network, including 31 pediatric primary care practices and 3 urgent care centers with a shared EHR serving >250,000 children. We used International Classification of Diseases, Tenth Revision (ICD-10) codes to identify encounters for pharyngitis at any CHOP practice from March 15, 2017, to March 14, 2018, excluding those with concurrent infections (eg, otitis media, sinusitis), immunocompromising conditions, or other comorbidities that might influence the need for antibiotics. We randomly selected 450 features for detailed chart abstraction assessing patient demographics as well as practice and prescriber characteristics. Appropriateness of antibiotic use based on chart review served as the gold standard for evaluating the electronic algorithm. Criteria for appropriate use included streptococcal testing, use of penicillin or amoxicillin (absent β-lactam allergy), and a 10-day duration of therapy. Results: In 450 patients, the median age was 8.4 years (IQR, 5.5–9.0) and 54% were women. On chart review, 149 patients (33%) received an antibiotic, of whom 126 had a positive rapid strep result. Thus, based on chart review, 23 subjects (5%) diagnosed with pharyngitis received antibiotics inappropriately. Amoxicillin or penicillin was prescribed for 100 of the 126 children (79%) with a positive rapid strep test. Of the 126 children with a positive test, 114 (90%) received the correct antibiotic: amoxicillin, penicillin, or an appropriate alternative antibiotic due to b-lactam allergy. Duration of treatment was correct for all 126 children. Using the electronic algorithm, the proportion of inappropriate prescribing was 28 of 450 (6%). The test characteristics of the electronic algorithm (compared to gold standard chart review) for identification of inappropriate antibiotic prescribing were sensitivity (99%, 422 of 427); specificity (100%, 23 of 23); positive predictive value (82%, 23 of 28); and negative predictive value (100%, 422 of 422). Conclusions: For children with pharyngitis, an electronic algorithm for identification of inappropriate antibiotic prescribing is highly accurate. Future work should validate this approach in other settings and develop and evaluate the impact of an audit and feedback intervention based on this tool.Funding: NoneDisclosures: None

scholarly journals Development of an Electronic Algorithm to Target Outpatient Antimicrobial Stewardship Efforts for Acute Bronchitis

2020 ◽  
Vol 41 (S1) ◽  
pp. s32-s32
Author(s):  
Ebbing Lautenbach ◽  
Keith Hamilton ◽  
Robert Grundmeier ◽  
Melinda Neuhauser ◽  
Lauri Hicks ◽  
...  
Keyword(s):  
Antimicrobial Stewardship ◽  
Predictive Value ◽  
Gold Standard ◽  
Chart Review ◽  
Acute Bronchitis ◽  
Antibiotic Use ◽  
Antibiotic Prescribing ◽  
Diagnostic Codes ◽  
Icd 10 ◽  
The Impact

Background: Antibiotic resistance has increased at alarming rates, driven predominantly by antibiotic overuse. Although most antibiotic use occurs in outpatients, antimicrobial stewardship programs have primarily focused on inpatient settings. A major challenge for outpatient stewardship is the lack of accurate and accessible electronic data to target interventions. We sought to develop and validate an electronic algorithm to identify inappropriate antibiotic use for outpatients with acute bronchitis. Methods: This study was conducted within the University of Pennsylvania Health System (UPHS). We used ICD-10 diagnostic codes to identify encounters for acute bronchitis at any outpatient UPHS practice between March 15, 2017, and March 14, 2018. Exclusion criteria included underlying immunocompromising condition, other comorbidity influencing the need for antibiotics (eg, emphysema), or ICD-10 code at the same visit for a concurrent infection (eg, sinusitis). We randomly selected 300 (150 from academic practices and 150 from nonacademic practices) eligible subjects for detailed chart abstraction that assessed patient demographics and practice and prescriber characteristics. Appropriateness of antibiotic use based on chart review served as the gold standard for assessment of the electronic algorithm. Because antibiotic use is not indicated for this study population, appropriateness was assessed based upon whether an antibiotic was prescribed or not. Results: Of 300 subjects, median age was 61 years (interquartile range, 50–68), 62% were women, 74% were seen in internal medicine (vs family medicine) practices, and 75% were seen by a physician (vs an advanced practice provider). On chart review, 167 (56%) subjects received an antibiotic. Of these subjects, 1 had documented concern for pertussis and 4 had excluding conditions for which there were no ICD-10 codes. One received an antibiotic prescription for a planned dental procedure. Thus, based on chart review, 161 (54%) subjects received antibiotics inappropriately. Using the electronic algorithm based on diagnostic codes, underlying and concurrent conditions, and prescribing data, the number of subjects with inappropriate prescribing was 170 (56%) because 3 subjects had antibiotic prescribing not noted based on chart review. The test characteristics of the electronic algorithm (compared to gold standard chart review) for identification of inappropriate antibiotic prescribing were the following: sensitivity, 100% (161 of 161); specificity, 94% (130 of 139); positive predictive value, 95% (161 of 170); and negative predictive value, 100% (130 of 130). Conclusions: For outpatients with acute bronchitis, an electronic algorithm for identification of inappropriate antibiotic prescribing is highly accurate. This algorithm could be used to efficiently assess prescribing among practices and individual clinicians. The impact of interventions based on this algorithm should be tested in future studies.Funding: NoneDisclosures: None

scholarly journals Clostridioides difficile Is Not Difficult to Predict in Hospital Settings

2021 ◽  
Vol 1 (S1) ◽  
pp. s41-s41
Author(s):  
Kinta Alexander ◽  
Frances Petersen ◽  
Sean Brown
Keyword(s):  
Logistic Regression ◽  
Inner City ◽  
Antimicrobial Stewardship ◽  
Antimicrobial Agents ◽  
City Hospital ◽  
Retrospective Case ◽  
Clostridioides Difficile ◽  
Stewardship Program ◽  
Increased Risk ◽  
High Risk Populations

Background:Clostridioides difficile is a gram-positive bacteria that is the most common cause of hospital-associated infectious diarrhea among traditional and nontraditional high-risk populations. Excess healthcare costs associate with C. difficile infection (CDI) prevalence, morbidity, and mortality is shown to economically impact the US healthcare system with at least an additional $1 billion in annual cost. Exposure to antimicrobial agents resulted in increased risk for hospital-onset CDI (HO-CDI) at an inner-city hospital during 2010 and 2011. Methods: A retrospective case-control study of all persons with HO-CDI in the MICU was conducted at an inner-city hospital between January 1, 2010, and December 31, 2011. A patient was considered to have developed HO-CDI if diarrhea developed after 72 hours of admission into the MICU and a confirmed laboratory stool specimen for Clostridioides difficile infection (CDI) was obtained. A non–HO-CDI person was randomly selected using “risk set sampling.” After the application of inclusion and exclusion criteria, 88 cases were eligible for the study. Of these cases, 29 met the definition for HO-CDI, and 59 met the definition for non–HO-CDI. The relationship between antimicrobial use and the development of HO-CDI in patients in the MICU at an inner-city hospital was investigated using a logistic regression model in which the variable of total antibiotics was used as a possible predictor for predicting a positive HO-CDI. Results: Logistic regression was utilized to determine the relationships between selected study variables and presence or absence of HO-CDI. Total antibiotics was significantly related to HO-CDI. The results of this analysis showed that total antibiotics was a significant predictor for HO-CDI. The total value of the coefficient B for this predictor was 0.47, and the exponentiated value (exp[B]) of this coefficient was 1.60 (95% CI, 1.08–2.35). In this sample, patients who had 1 or more antibiotics were at a 60% greater risk of having a positive HO-CDI culture. There was a significant association between the use of metronidazole and HO-CDI (p < .001). Conclusions: Antimicrobial stewardship is an integral part of patient safety. The findings from this study were instrumental in the implementation of a fledging antimicrobial stewardship program and the use of evidence-based practices at this inner-city hospital.Funding: NoDisclosures: None

scholarly journals Emerging Role of Microbiome in the Prevention of Urinary Tract Infections in Children

2022 ◽  
Vol 23 (2) ◽  
pp. 870
Author(s):  
Anna Kawalec ◽  
Danuta Zwolińska
Keyword(s):  
Urinary Tract Infection ◽  
Urinary Tract ◽  
Tract Infection ◽  
Urinary Tract Infections ◽  
Pediatric Population ◽  
Urologic Diseases ◽  
Increased Risk ◽  
Tract Infections ◽  
The Impact

The microbiome of the urinary tract plays a significant role in maintaining health through the impact on bladder homeostasis. Urobiome is of great importance in maintaining the urothelial integrity and preventing urinary tract infection (UTI), as well as promoting local immune function. Dysbiosis in this area has been linked to an increased risk of UTIs, nephrolithiasis, and dysfunction of the lower urinary tract. However, the number of studies in the pediatric population is limited, thus the characteristic of the urobiome in children, its role in a child’s health, and pediatric urologic diseases are not completely understood. This review aims to characterize the healthy urobiome in children, the role of dysbiosis in urinary tract infection, and to summarize the strategies to modification and reshape disease-prone microbiomes in pediatric patients with recurrent urinary tract infections.

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