scholarly journals Did Clostridioides difficile Testing and Infection Rates Change During the COVID-19 Pandemic?

2021 ◽  
Vol 1 (S1) ◽  
pp. s43-s43
Author(s):  
Armani Hawes ◽  
Payal Patel ◽  
Angel Desai
Keyword(s):  
Infection Prevention ◽  
Interrupted Time Series ◽  
Antibiotic Use ◽  
The United States ◽  
Single Center ◽  
Interrupted Time Series Analysis ◽  
Strict Adherence ◽  
Clostridioides Difficile ◽  
Stewardship Program ◽  
Washtenaw County

Background: The COVID-19 pandemic has underscored the importance of ongoing infection prevention efforts. Increased adherence to infection prevention recommendations, increased antibiotic use, improved hand hygiene, and correct donning and doffing of personal protective equipment may have influenced healthcare-associated infections (HAIs) in the United States during the pandemic. In this study, we investigated testing for Clostridioides difficile infection (CDI) and incidence during the initial surge of the pandemic. We hypothesized that strict adherence to contact precautions may have resulted in a decreased incidence of CDI in hospitalized patients during the first peak of the COVID-19 pandemic and that CDI testing may have increased even in the absence of directed diagnostic stewardship efforts. Methods: We conducted a single-center, retrospective, observational study at the Veterans’ Affairs (VA) Hospital in Ann Arbor, Michigan, between January 2019 and June 2020. We compared data on CDI tests from January 2019 through February 2020 to data from March 2020 (the admission of the first patient with COVID-19 at our institution) through June 2020. Pre-peak and peak periods were defined by confirmed cases in Washtenaw County. No novel diagnostic or CDI-focused stewardship interventions were introduced by the antimicrobial stewardship program during the study period. An interrupted time series analysis was performed using STATA version 16.1 software (StataCorp LLC, College Station, TX). Results: There were 6,525 admissions and 34,533 bed days between January 1, 2019, and June 30, 2020. Also, 900 enzyme immunoassay (EIA) tests were obtained and 104 positive cases of CDI were detected between January 2019 and June 2020. A statistically significant decrease in EIA tests occurred after March 1, 2020 (the COVID-19 peak in our region) compared to January 1, 2019–March 1, 2020 (Figure 1). After March 1, 2020, the number of EIA tests obtained decreased by 10.2 each month (95% CI, −18.7 to −1.7; P = .02). No statistically significant change in the incidence of CDI occurred. The use of antibiotics that were defined as high risk for CDI increased in the months of April–June 2020 (Figure 2). Conclusions: In this single-center study, we observed a stable incidence of CDI but decreased testing during the first peak of the COVID-19 pandemic. Understanding local HAI reporting is critical because changes in HAI reporting structures and exemptions during this period may have affected national reporting. Further research should be undertaken to investigate the effect of COVID-19 on other HAI reporting within the US healthcare system.Funding: NoDisclosures: None

scholarly journals The effect of generic market entry on antibiotic prescriptions in the United States

2021 ◽  
Vol 12 (1) ◽  
Author(s):  
Cecilia Kållberg ◽  
Jemma Hudson ◽  
Hege Salvesen Blix ◽  
Christine Årdal ◽  
Eili Klein ◽  
...  
Keyword(s):  
United States ◽  
Market Entry ◽  
Interrupted Time Series ◽  
Antibiotic Use ◽  
The United States ◽  
Antibiotic Consumption ◽  
Cefuroxime Axetil ◽  
Interrupted Time Series Analysis ◽  
Generic Entry ◽  
Generic Market

AbstractWhen patented, brand-name antibiotics lose market exclusivity, generics typically enter the market at lower prices, which may increase consumption of the drug. To examine the effect of generic market entry on antibiotic consumption in the United States, we conducted an interrupted time series analysis of the change in the number of prescriptions per month for antibiotics for which at least one generic entered the US market between 2000 and 2012. Data were acquired from the IQVIA Xponent database. Thirteen antibiotics were analyzed. Here, we show that one year after generic entry, the number of prescriptions increased for five antibiotics (5 to 406%)—aztreonam, cefpodoxime, ciprofloxacin, levofloxacin, ofloxacin—and decreased for one drug: cefdinir. These changes were sustained two years after. Cefprozil, cefuroxime axetil and clarithromycin had significant increases in trend, but no significant level changes. No consistent pattern for antibiotic use following generic entry in the United States was observed.

scholarly journals Infection Preventionist Run Clostridioides difficile Testing Diagnostic Stewardship Protocol- Experience From a Rural Community Hospital

2020 ◽  
Vol 41 (S1) ◽  
pp. s484-s485
Author(s):  
Raghavendra Tirupathi ◽  
Ruth Freshman ◽  
Norma J Montoy ◽  
Melissa Gross
Keyword(s):  
Cost Savings ◽  
Antibiotic Use ◽  
First Year ◽  
Multiple Parameters ◽  
Clostridioides Difficile ◽  
Stewardship Program ◽  
Commercial Company ◽  
Surgical History ◽  
Test Ordering ◽  
Infection Preventionists

Background: Distinguishing active Clostridioides difficile infection (CDI) from asymptomatic colonization remains a challenging task in the era of PCR testing. Inappropriate testing leads to overtesting and overdiagnosis, inadvertent treatment, and isolation in addition to laboratory identified (LabID) events, leading to increased incidence to hospital-onset CDI (HO-CDI). The institution has a nurse-driven C. difficile test ordering protocol, and we noted a significant increase in the HO-CDI incidence in 2017 due to inappropriate testing, with rates as high as 0.94 per 1,000 patient days. Methods: In September 2017, a multidisciplinary team reviewed and initiated algorithm-based testing with mandatory audit and review by infection preventionists (IPs) under the guidance of an ID physician of all ordered tests. They reviewed the adequacy and legitimacy of order for multiple parameters, including minimum 3 loose stools in 24 hours, use of laxatives in last 24 hours, consistency of the sample, presence of at least 1 clinical parameters (ie, fever, abdominal pain, leukocytosis, sepsis, or septic shock), recent or concomitant antibiotic use, recent PCR testing in the last 14 days, and chart review for medical and/or surgical history. The IPs served as the gatekeepers to testing and rejected the samples that were deemed inappropriate. Ambiguous cases were discussed with the ID specialist. On the microscope lab side, all specimens sent were batched to be run twice a day at 8:30 a.m. and 2:30 p.m., and testing was performed only on the samples cleared by infection preventionists. Results: The number of PCR tests completed in the comparison quarter of 2016 was 220, which decreased to 157 tests in 2017 with a reduction of 28%. After a full year of implementation of the diagnostic stewardship protocol, the number of completed PCR tests decreased to 626 from 940 PCR tests in 2016, with an overall 34% decrease in testing. In the year following the implementation of diagnostic stewardship, HO-CDI decreased from 60 events in 2017 to 43 events in 2018, with a reduction of 28%. Subsequently, HO-CDI further decreased in 2019 from 43 to 28, with a reduction of 35%. Since the implementation of the project in 2017, HO-CDIs have decreased by 54% overall. The reduction in 314 C. difficile PCR tests in the first year led to a savings of $8,300 in laboratory testing supplies. The reduction of HO CDI by 17 led to cost avoidance of $293,420. Conclusions: Our experience shows that the IP-run diagnostic stewardship program was highly successful in streamlining testing, with cost savings on several fronts.Funding: NoneDisclosures: NoneDisclosures:Commercial Company : If I am presenting research funded by a commercial company, the information presented will be based on generally accepted scientific principals and methods, and will not promote the commercial interest of the funding company.DisagreeRaghavendra Tirupathi

scholarly journals Impact of Removal of Automatic 7-Day Stop Orders for Inpatient Antimicrobials

2020 ◽  
Vol 41 (S1) ◽  
pp. s264-s265
Author(s):  
Afia Adu-Gyamfi ◽  
Keith Hamilton ◽  
Leigh Cressman ◽  
Ebbing Lautenbach ◽  
Lauren Dutcher
Keyword(s):  
Time Series ◽  
Time Series Analysis ◽  
Interrupted Time Series ◽  
Antibiotic Use ◽  
Interrupted Time Series Analysis ◽  
Series Analysis ◽  
Treatment Interruptions ◽  
Days Of Therapy ◽  
Quasi Experimental ◽  
The Impact

Background: Automatic discontinuation of antimicrobial orders after a prespecified duration of therapy has been adopted as a strategy for reducing excess days of therapy (DOT) as part of antimicrobial stewardship efforts. Automatic stop orders have been shown to decrease antimicrobial DOT. However, inadvertent treatment interruptions may occur as a result, potentially contributing to adverse patient outcomes. To evaluate the effects of this practice, we examined the impact of the removal of an electronic 7-day ASO program on hospitalized patients. Methods: We performed a quasi-experimental study on inpatients in 3 acute-care academic hospitals. In the preintervention period (automatic stop orders present; January 1, 2016, to February 28, 2017), we had an electronic dashboard to identify and intervene on unintentionally missed doses. In the postintervention period (April 1, 2017, to March 31, 2018), the automatic stop orders were removed. We compared the primary outcome, DOT per 1,000 patient days (PD) per month, for patients in the automatic stop orders present and absent periods. The Wilcoxon rank-sum test was used to compare median monthly DOT/1,000 PD. Interrupted time series analysis (Prais-Winsten model) was used to compared trends in antibiotic DOT/1,000 PD and the immediate impact of the automatic stop order removal. Manual chart review on a subset of 300 patients, equally divided between the 2 periods, was performed to assess for unintentionally missed doses. Results: In the automatic stop order period, a monthly median of 644.5 antibiotic DOT/1,000 PD were administered, compared to 686.2 DOT/1,000 PD in the period without automatic stop orders (P < .001) (Fig. 1). Using interrupted time series analysis, there was a nonsignificant increase by 46.7 DOT/1,000 PD (95% CI, 40.8 to 134.3) in the month immediately following removal of automatic stop orders (P = .28) (Fig. 2). Even though the slope representing monthly change in DOT/1,000 PD increased in the period without automatic stop orders compared to the period with automatic stop orders, it was not statistically significant (P = .41). Manual chart abstraction revealed that in the period with automatic stop orders, 9 of 150 patients had 17 unintentionally missed days of therapy, whereas none (of 150 patients) in the period without automatic stop orders did. Conclusions: Following removal of the automatic stop orders, there was an overall increase in antibiotic use, although the change in monthly trend of antibiotic use was not significantly different. Even with a dashboard to identify missed doses, there was still a risk of unintentionally missed doses in the period with automatic stop orders. Therefore, this risk should be weighed against the modest difference in antibiotic utilization garnered from automatic stop orders.Funding: NoneDisclosures: None

scholarly journals 1089. Implementation of a Febrile Neutropenia Management Algorithm on Antibiotic Use and Outcomes: An Interrupted Time Series Analysis

2019 ◽  
Vol 6 (Supplement_2) ◽  
pp. S386-S387
Author(s):  
Trang D Trinh ◽  
Luke Strnad ◽  
Lloyd E Damon ◽  
John H Dzundza ◽  
Larissa R Graff ◽  
...  
Keyword(s):  
Time Series ◽  
Febrile Neutropenia ◽  
Time Series Analysis ◽  
Clinical Outcomes ◽  
Interrupted Time Series ◽  
Antibiotic Use ◽  
Evidence Based ◽  
Interrupted Time Series Analysis ◽  
Series Analysis ◽  
Management Algorithm

Abstract Background Febrile neutropenia (FN) is a common complication of cancer therapy and often necessitates prolonged antibiotic treatment. Antibiotic de-escalation can be challenging given tenuous clinical status. Furthermore, a microbiological or clinical etiology is identified in a minority of FN patients. In 2016 we implemented several evidence-based strategies to guide antibiotic use in high-risk FN patients including specifying vancomycin use indications, minimizing carbapenem escalation in stable patients with ongoing fevers, and defining antibiotic durations regardless of neutrophil count. The study objective was to characterize and evaluate our experience implementing these strategies on antibiotic use and clinical outcomes. Methods Interrupted time series analysis of all admissions to the Malignant Hematology service at the University of California, San Francisco between June 2014 and December 2018. The primary outcome was monthly days of therapy (DOT) per 1,000 patient-days of broad-spectrum IV antibiotics (aztreonam, cefepime, piperacillin–tazobactam, meropenem, and vancomycin). Secondary outcomes included DOT/1,000 patient-days for each IV antibiotic, incidence rates of bloodstream infections (BSI) and C. difficile infections (CDI), and in-hospital all-cause mortality. A segmented regression analysis was conducted to evaluate the impact of the FN management algorithm implementation on antibiotic use and clinical outcomes. Summary statistics and time series scatter plots were used to visualize the trends and outliers. Results 2319 unique patients with 6,788 encounters were included. The median (IQR) age was 59 (46–68) years and 60% were male. Regression results and time series plots are shown in Table 1 and Figures 1–3. Conclusion Implementation of an evidence-based FN management algorithm led to decreased vancomycin and meropenem use without a statistically significant impact on overall antibiotic use, CDI rates, or mortality.While BSI rates fluctuated in the 2 months post-implementation, rates returned to baseline thereafter. A multidisciplinary effort facilitated successful implementation of this stewardship project. This collaboration remains essential to addressing future antimicrobial management strategies in this population. Disclosures All authors: No reported disclosures.

Hospital-level high-risk antibiotic use in relation to hospital-associated Clostridioides difficile infections: Retrospective analysis of 2016–2017 data from US hospitals

2019 ◽  
Vol 40 (11) ◽  
pp. 1229-1235 ◽  
Author(s):  
Ying P. Tabak ◽  
Arjun Srinivasan ◽  
Kalvin C. Yu ◽  
Stephen G. Kurtz ◽  
Vikas Gupta ◽  
...  
Keyword(s):  
High Risk ◽  
Hospital Setting ◽  
Antibiotic Use ◽  
The United States ◽  
Fourth Generation ◽  
Teaching Hospitals ◽  
Clostridioides Difficile ◽  
Positive Stool ◽  
Days Of Therapy ◽  
Assay Result

AbstractObjective:Antibiotics are widely used by all specialties in the hospital setting. We evaluated previously defined high-risk antibiotic use in relation to Clostridioides difficile infections (CDIs).Methods:We analyzed 2016–2017 data from 171 hospitals. High-risk antibiotics included second-, third-, and fourth-generation cephalosporins, fluoroquinolones, carbapenems, and lincosamides. A CDI case was a positive stool C. difficile toxin or molecular assay result from a patient without a positive result in the previous 8 weeks. Hospital-associated (HA) CDI cases included specimens collected >3 calendar days after admission or ≤3 calendar days from a patient with a prior same-hospital discharge within 28 days. We used the multivariable Poisson regression model to estimate the relative risk (RR) of high-risk antibiotic use on HA CDI, controlling for confounders.Results:The median days of therapy for high-risk antibiotic use was 241.2 (interquartile range [IQR], 192.6–295.2) per 1,000 days present; the overall HA CDI rate was 33 (IQR, 24–43) per 10,000 admissions. The overall correlation of high-risk antibiotic use and HA CDI was 0.22 (P = .003), and higher correlation was observed in teaching hospitals (0.38; P = .002). For every 100-day (per 1,000 days present) increase in high-risk antibiotic therapy, there was a 12% increase in HA CDI (RR, 1.12; 95% CI, 1.04–1.21; P = .002) after adjusting for confounders.Conclusions:High-risk antibiotic use is an independent predictor of HA CDI. This assessment of poststewardship implementation in the United States highlights the importance of tracking trends of antimicrobial use over time as it relates to CDI.

Using a nurse-initiated bedside tool to decrease inappropriate testing for Clostridioides difficile in hospital settings

2020 ◽  
pp. 175717742097681
Author(s):  
Amy Lenz ◽  
Genevieve Davis ◽  
Hoda Asmar ◽  
Arby Nahapetian ◽  
John Dingilian ◽  
...  
Keyword(s):  
Infection Prevention ◽  
Low Cost ◽  
Clinical Decision ◽  
The United States ◽  
Hospital Length ◽  
Hospital Length Of Stay ◽  
Antibiotic Overuse ◽  
Clostridioides Difficile ◽  
Excess Costs ◽  
The Usa

Overdiagnosis of Clostridioides difficile ( C. difficile) is associated with increased hospital length of stay, antibiotic overuse, unnecessary infection prevention efforts and excess costs. This study evaluated a paper-based bedside C. difficile screening tool on the number of C. difficile laboratory tests performed and number of C. difficile infection (CDI) diagnoses. Nurses used the tool to determine whether stool should be sent for C. difficile testing. The tool provided indications for stool testing. We collected data on the number of C. difficile stool tests performed and CDI diagnoses for nine months before (PreT) and after (PostT) tool implementation in the hospital. We found a 31% reduction in the mean monthly number of C. difficile tests performed (37 PreT to 25 PostT) and a 56% reduction in CDI diagnoses (19 PreT to 8 PostT). This study demonstrates the success of using nurses and a bedside tool to decrease inappropriate C. difficile testing. This intervention has implications for patient management, infection prevention and cost containment. This low-cost paper-based tool may be helpful for the 25% of hospitals in the USA not using clinical decision support in their electronic health record (EHR), as well as for hospitals outside the United States who may not have access to EHRs.

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