scholarly journals 1575. Predictors of Negative Clinical Outcomes among Patients treated with Meropenem-Vaborbactam for Serious Gram-Negative Bacterial Infections: Impact of Delayed Appropriate Antibiotic Selection

2020 ◽  
Vol 7 (Supplement_1) ◽  
pp. S786-S786
Author(s):  
Sara Alosaimy ◽  
Abdalhamid M Lagnf ◽  
Sarah Jorgensen ◽  
Travis J Carlson ◽  
Jinhee Jo ◽  
...  
Keyword(s):  
Regression Analysis ◽  
Antibiotic Therapy ◽  
Clinical Outcomes ◽  
Bacterial Infections ◽  
The United States ◽  
Research Support ◽  
Gram Negative ◽  
Appropriate Therapy ◽  
Tract Infections ◽  
The Impact

Abstract Background Numerous number of studies have found a positive correlation between delayed appropriate antibiotic therapy and negative clinical outcomes (NCO) in Gram-negative bacterial infections (GNBI). The combination of meropenem with vaborbactam (MVB) received Food and Drug Administration approval for the treatment of complicated urinary tract infections and acute pyelonephritis caused by susceptible organisms in August 2017. We sought to determine the impact of delayed appropriate therapy with MVB on NCO among patients with GNBI. Methods Multi-center, retrospective cohort study from October 2017 to March 2020. We included adult patients treated with MVB for >72 hours. We excluded patients who received alternative appropriate antibiotics for GNB prior to MVB and patients with unknown dates for index culture. NCO were defined as 30-day mortality and/or microbiological recurrence. All outcomes were measured from MVB start date. Classification and regression tree analysis (CART) was used to identify the time breakpoint (BP) that delineates the risk of NCO. Multivariable logistic regression analysis (MLR) was used to examine the independent association between the CART-derived-BP and NCO. Variables were retained in the model if P< 0.2 and removed in a backward stepwise approach. Results A total of 86 patients were included from 13 institutions in the United States: median(IQR) age 55 (37-67) years, 67% male, and 48% Caucasian. Median(IQR) APACHE II and Charlson Comorbidity index scores were 18(11-26) and 4(2-6), respectively. Common sources of infection were respiratory (37%) and intra-abdominal (21%). The most common pathogens were carbapenem-resistant Enterobacterales (83%). CART-derived BP between early and delayed treatment was 48 hours, where NCO was increased (36% vs.7%; P=0.04). Delayed MVB initiation was independently associated with NCO in the MLR (aOR=7.4, P=0.02). Results of Regression Analysis of Variables Associated With Negative Clinical Outcomes and Delayed Appropriate Therapy with Meropenem-vaborbactam Conclusion Our results suggest that delaying appropriate antibiotic therapy with MVB for >48 hours significantly increases the risk of NCO in patients with GNBI. Clinicians must ensure timely administration of MVB to assure best outcomes in patients with GNBI. Disclosures Kevin W. Garey, PharMD, MS, FASHP, Merck & Co. (Grant/Research Support, Scientific Research Study Investigator) Michael J. Rybak, PharmD, MPH, PhD, Paratek (Grant/Research Support)

scholarly journals Clinical Outcomes and Healthcare Utilization Related to Multidrug-Resistant Gram-Negative Infections in Community Hospitals

2016 ◽  
Vol 38 (1) ◽  
pp. 31-38 ◽  
Author(s):  
Kristen V. Dicks ◽  
Deverick J. Anderson ◽  
Arthur W. Baker ◽  
Daniel J. Sexton ◽  
Sarah S. Lewis
Keyword(s):  
Bacterial Infections ◽  
Multidrug Resistant ◽  
Healthcare Resource Utilization ◽  
Community Hospitals ◽  
Readmission Rates ◽  
Gram Negative ◽  
Mortality Difference ◽  
Tract Infections ◽  
Multivariable Regression Models ◽  
The Impact

OBJECTIVETo evaluate the impact of multidrug-resistant gram-negative rod (MDR-GNR) infections on mortality and healthcare resource utilization in community hospitals.DESIGNTwo matched case-control analyses.SETTINGSix community hospitals participating in the Duke Infection Control Outreach Network from January 1, 2010, through December 31, 2012.PARTICIPANTSAdult patients admitted to study hospitals during the study period.METHODSPatients with MDR-GNR bloodstream and urinary tract infections were compared with 2 groups: (1) patients with infections due to nonMDR-GNR and (2) control patients representative of the nonpsychiatric, non-obstetric hospitalized population. Four outcomes were assessed: mortality, direct cost of hospitalization, length of stay, and 30-day readmission rates. Multivariable regression models were created to estimate the effect of MDR status on each outcome measure.RESULTSNo mortality difference was seen in either analysis. Patients with MDR-GNR infections had 2.03 higher odds of 30-day readmission compared with patients with nonMDR-GNR infections (95% CI, 1.04–3.97, P=.04). There was no difference in hospital direct costs between patients with MDR-GNR infections and patients with nonMDR-GNR infections. Hospitalizations for patients with MDR-GNR infections cost $5,320.03 more (95% CI, $2,366.02–$8,274.05, P<.001) and resulted in 3.40 extra hospital days (95% CI, 1.41–5.40, P<.001) than hospitalizations for control patients.CONCLUSIONSOur study provides novel data regarding the clinical and financial impact of MDR gram-negative bacterial infections in community hospitals. There was no difference in mortality between patients with MDR-GNR infections and patients with nonMDR-GNR infections or control patients.Infect Control Hosp Epidemiol 2016;1–8

scholarly journals 52. Development and Implementation of a Short Duration of Antibiotic Therapy Algorithm for Uncomplicated Gram-Negative Bacteremia

2020 ◽  
Vol 7 (Supplement_1) ◽  
pp. S48-S48
Author(s):  
Esther Y Bae ◽  
Fidelia Bernice ◽  
Kathryn Dzintars ◽  
Sara E Cosgrove ◽  
Pranita D Tamma ◽  
...  
Keyword(s):  
Antibiotic Therapy ◽  
Clinical Outcomes ◽  
Median Duration ◽  
Intervention Period ◽  
Therapy Algorithm ◽  
Gram Negative ◽  
Duration Of Therapy ◽  
Number Of Patients ◽  
Gram Negative Bacteremia ◽  
The Impact

Abstract Background Recent literature suggests no difference in clinical outcomes between short (7 days) and prolonged course (14 days) antibiotic therapy for the treatment of uncomplicated Gram-negative bacteremia (GNB). Methods The objectives of the study were to develop and implement a treatment algorithm that identifies patients who are eligible for 7-day therapy for uncomplicated GNB and evaluate its impact on patient outcomes at The Johns Hopkins Hospital (JHH) in Baltimore. The algorithm was developed and implemented at JHH on 11/11/2019. From 11/11/2019 to 3/31/2020, the Infectious Diseases (ID) Pharmacy Resident and ID pharmacists reviewed cases of GNB on weekdays and contacted teams to provide algorithm-compliant treatment recommendations. To quantify the impact of the intervention on clinical outcomes, data from the same time period during the previous year (baseline) were collected and compared to those collected during the intervention. The primary outcome was duration of antibiotic therapy for GNB. Secondary outcomes included: duration of intravenous (IV) antibiotics, length of hospital stay (LOS), and recurrent bacteremia. Results A total of 345 patients with GNB were identified (142 baseline; 203 intervention) of which 59 and 55 patients met criteria for 7-day therapy, respectively. The Pitt bacteremia score (median 1), bacteremia source [urinary (43%), abdominal (23%)], and organisms [E. coli (48%) and Klebsiella spp. (33%)] were similar between the periods. More patients in the intervention period were treated for ≤8 days (60.0% vs. 37.3%; p=0.015), and the median duration of therapy was 2 days shorter (8 vs. 10 days; p=0.04). Median duration of IV antibiotic therapy (4 vs. 7 days; p=0.004) and median LOS (4 vs. 7 days; p=0.029) were also shorter in the intervention period. There were no differences in the rate of 30-day recurrent bacteremia between the periods (3.4% baseline vs. 1.8% intervention; p=0.60). Conclusion Our pharmacist-led intervention successfully shortened the duration of therapy, increased conversion from IV to PO therapy, and reduced LOS, without negatively impacting the number of patients with recurrent GNB. Disclosures All Authors: No reported disclosures

scholarly journals 288. Follow-Up Blood Cultures in Gram-Negative Bacteremia: How Do They Impact Outcomes

2020 ◽  
Vol 7 (Supplement_1) ◽  
pp. S144-S144
Author(s):  
Azza Elamin ◽  
Faisal Khan ◽  
Ali Abunayla ◽  
Rajasekhar Jagarlamudi ◽  
aditee Dash
Keyword(s):  
Clinical Outcomes ◽  
Antibiotic Treatment ◽  
Readmission Rate ◽  
Blood Cultures ◽  
Categorical Variables ◽  
Gram Negative ◽  
Number Of Patients ◽  
Significant Difference ◽  
The Impact

Abstract Background As opposed to Staphylococcus. aureus bacteremia, there are no guidelines to recommend repeating blood cultures in Gram-negative bacilli bacteremia (GNB). Several studies have questioned the utility of follow-up blood cultures (FUBCs) in GNB, but the impact of this practice on clinical outcomes is not fully understood. Our aim was to study the practice of obtaining FUBCs in GNB at our institution and to assess it’s impact on clinical outcomes. Methods We conducted a retrospective, single-center study of adult patients, ≥ 18 years of age admitted with GNB between January 2017 and December 2018. We aimed to compare clinical outcomes in those with and without FUBCs. Data collected included demographics, comorbidities, presumed source of bacteremia and need for intensive care unit (ICU) admission. Presence of fever, hypotension /shock and white blood cell (WBC) count on the day of FUBC was recorded. The primary objective was to compare 30-day mortality between the two groups. Secondary objectives were to compare differences in 30-day readmission rate, hospital length of stay (LOS) and duration of antibiotic treatment. Mean and standard deviation were used for continuous variables, frequency and proportion were used for categorical variables. P-value &lt; 0.05 was defined as statistically significant. Results 482 patients were included, and of these, 321 (67%) had FUBCs. 96% of FUBCs were negative and 2.8% had persistent bacteremia. There was no significant difference in 30-day mortality between those with and without FUBCs (2.9% and 2.7% respectively), or in 30-day readmission rate (21.4% and 23.4% respectively). In patients with FUBCs compared to those without FUBCs, hospital LOS was longer (7 days vs 5 days, P &lt; 0.001), and mean duration of antibiotic treatment was longer (14 days vs 11 days, P &lt; 0.001). A higher number of patients with FUBCs needed ICU care compared to those without FUBCs (41.4% and 25.5% respectively, P &lt; 0.001) Microbiology of index blood culture in those with and without FUBCs Outcomes in those with and without FUBCs FUBCs characteristics Conclusion Obtaining FUBCs in GNB had no impact on 30-day mortality or 30-day readmission rate. It was associated with longer LOS and antibiotic duration. Our findings suggest that FUBCs in GNB are low yield and may not be recommended in all patients. Prospective studies are needed to further examine the utility of this practice in GNB. Disclosures All Authors: No reported disclosures

scholarly journals Impact of temperature and relative humidity on the transmission of COVID-19: a modelling study in China and the United States

BMJ Open ◽  
2021 ◽  
Vol 11 (2) ◽  
pp. e043863
Author(s):  
Jingyuan Wang ◽  
Ke Tang ◽  
Kai Feng ◽  
Xin Lin ◽  
Weifeng Lv ◽  
...  
Keyword(s):  
Regression Analysis ◽  
Relative Humidity ◽  
Human Mobility ◽  
The United States ◽  
Reproductive Number ◽  
Cross Sectional ◽  
The Usa ◽  
Higher Temperature ◽  
Potential Impact ◽  
The Impact

ObjectivesWe aim to assess the impact of temperature and relative humidity on the transmission of COVID-19 across communities after accounting for community-level factors such as demographics, socioeconomic status and human mobility status.DesignA retrospective cross-sectional regression analysis via the Fama-MacBeth procedure is adopted.SettingWe use the data for COVID-19 daily symptom-onset cases for 100 Chinese cities and COVID-19 daily confirmed cases for 1005 US counties.ParticipantsA total of 69 498 cases in China and 740 843 cases in the USA are used for calculating the effective reproductive numbers.Primary outcome measuresRegression analysis of the impact of temperature and relative humidity on the effective reproductive number (R value).ResultsStatistically significant negative correlations are found between temperature/relative humidity and the effective reproductive number (R value) in both China and the USA.ConclusionsHigher temperature and higher relative humidity potentially suppress the transmission of COVID-19. Specifically, an increase in temperature by 1°C is associated with a reduction in the R value of COVID-19 by 0.026 (95% CI (−0.0395 to −0.0125)) in China and by 0.020 (95% CI (−0.0311 to −0.0096)) in the USA; an increase in relative humidity by 1% is associated with a reduction in the R value by 0.0076 (95% CI (−0.0108 to −0.0045)) in China and by 0.0080 (95% CI (−0.0150 to −0.0010)) in the USA. Therefore, the potential impact of temperature/relative humidity on the effective reproductive number alone is not strong enough to stop the pandemic.

scholarly journals 1414. #Vaccine Twitter Influencers: is it Just About Reach and Followers?

2020 ◽  
Vol 7 (Supplement_1) ◽  
pp. S714-S715
Author(s):  
Jean-Etienne Poirrier ◽  
Theodore Caputi ◽  
John Ayers ◽  
Mark Dredze ◽  
Sara Poston ◽  
...  
Keyword(s):  
United States ◽  
Social Media ◽  
Standard Deviation ◽  
Small Proportion ◽  
The United States ◽  
Research Support ◽  
Policy Makers ◽  
Media Messages ◽  
Social Media Platforms ◽  
The Impact

Abstract Background A small number of powerful users (“influencers”) dominates conversations on social media platforms: less than 1% of Twitter accounts have at least 3,000 followers and even fewer have hundreds of thousands or millions of followers. Beyond simple metrics (number of tweets, retweets...) little is known about these “influencers”, particularly in relation to their role in shaping online narratives about vaccines. Our goal was to describe influential Twitter accounts that are driving conversations about vaccines and present new metrics of influence. Methods Using publicly-available data from Twitter, we selected posts from 1-Jan-2016 to 31-Dec-2018 and extracted the top 5% of accounts tweeting about vaccines with the most followers. Using automated classifiers, we determined the location of these accounts, and grouped them into those that primarily tweet pro- versus anti-vaccine content. We further characterized the demographics of these influencer accounts. Results From 25,381 vaccine-related tweets available in our sample representing 10,607 users, 530 accounts represented the top 5% by number of followers. These accounts had on average 1,608,637 followers (standard deviation=5,063,421) and 340,390 median followers. Among the accounts for which sentiment was successfully estimated by the classifier, 10.4% (n=55) posted anti-vaccine content and 33.6% (n=178) posted pro-vaccine content. Of the 55 anti-vaccine accounts, 50% (n=18) of the accounts for which location was successfully determined were from the United States. Of the 178 pro-vaccine accounts, 42.5% (n=54) were from the United States. Conclusion This study showed that only a small proportion of Twitter accounts (A) post about vaccines and (B) have a high follower count and post anti-vaccine content. Further analysis of these users may help researchers and policy makers better understand how to amplify the impact of pro-vaccine social media messages. Disclosures Jean-Etienne Poirrier, PhD, MBA, The GSK group of companies (Employee, Shareholder) Theodore Caputi, PhD, Good Analytics Inc. (Consultant) John Ayers, PhD, GSK (Grant/Research Support) Mark Dredze, PhD, Bloomberg LP (Consultant)Good Analytics (Consultant) Sara Poston, PharmD, The GlaxoSmithKline group of companies (Employee, Shareholder) Cosmina Hogea, PhD, GlaxoSmithKline (Employee, Shareholder)

scholarly journals Antimicrobial Activity of Ceftolozane–Tazobactam Tested against Contemporary (2012–2016) Enterobacteriaceae and Pseudomonas aeruginosa Isolates by US Census Division

2017 ◽  
Vol 4 (suppl_1) ◽  
pp. S371-S372
Author(s):  
Dee Shortridge ◽  
Leonard R Duncan ◽  
Michael A Pfaller ◽  
Robert K Flamm
Keyword(s):  
Pseudomonas Aeruginosa ◽  
The United States ◽  
Gram Negative ◽  
Carbapenem Resistant ◽  
Tract Infections ◽  
Abdominal Infections ◽  
Us Census ◽  
Phenotype Screen ◽  
Lactamase Inhibitor ◽  
Research Grant

Abstract Background Ceftolozane-tazobactam (C-T) is a combination of a novel antipseudomonal cephalosporin and a well-described β-lactamase inhibitor. C-T was approved by the United States (US) Food and Drug Administration in 2014 for complicated urinary tract infections, including acute pyelonephritis and complicated intra-abdominal infections. C-T is currently in clinical trials for the treatment of nosocomial pneumonia. The Program to Assess Ceftolozane-Tazobactam Susceptibility (PACTS) monitors C-T resistance to gram-negative (GN) isolates worldwide. In this study, the activities of C-T and comparators vs. GN isolates from each of the 9 US Census divisions were compared. Methods A total of 18,856 Enterobacteriaceae (ENT) and 4,735 Pseudomonas aeruginosa (PSA) isolates were collected from 32 US hospitals in 2012–2016. Isolates were tested for susceptibility (S) to C-T and comparators by CLSI broth microdilution methodology in a central monitoring laboratory. Other antibiotics tested included amikacin (AMK), ceftazidime (CAZ), colistin (COL), meropenem (MER), and piperacillin-tazobactam (TZP). The following resistant phenotypes were analyzed for ENT: carbapenem resistant (CRE); extended-spectrum β-lactamase phenotype screen-positive (ESBL); and ESBL, nonCRE. or PSA, MER-nonsusceptible (NS), TZP-NS, and CAZ-NS isolates were analyzed. CLSI (2017) interpretive criteria were used. Results For all ENT, 94.2% were S to C-T, 91.5% were S to TZP, 98.0% were S to MER, and 98.8% were S to AMK; 1,697 (9.0%) were ESBL, nonCRE and 356 (1.9%) were CRE. For all PSA isolates, 97.4% were S to C-T, 99.3% were S to COL, 96.9% were S to AMK, and 81.2% were S to MER. The % C-T S for each division (DIV) are shown in the table. The % C-T S for ENT ranged from 98.1% (DIV 4) to 87.4% (DIV 2) and % C-T S for ESBL, nonCRE ranged from 93.8% in DIV 4 to 79.8% in DIV 7. For PSA, the % C-T S ranged from 99.6% in DIV 4 to 94.9% in DIV 9. Activity of C-T against PSA NS to MER, CAZ or TZP varied by division and was &gt;80% for all except DIV 9. Conclusion Against PSA, only COL was more active than C-T. C-T demonstrated potent activity against PSA NS to other β-lactams. For ENT, overall activity was good. For both PSA and ENT, C-T varied by DIV. Disclosures D. Shortridge, Merck: Research Contractor, Research grant; L. R. Duncan, Merck: Research Contractor, Research grant; M. A. Pfaller, Merck: Research Contractor, Research grant; R. K. Flamm, Merck: Research Contractor, Research grant

scholarly journals The Influence of Logistics Mode on Cross Border E-commerce Business Scale

2021 ◽  
Vol 235 ◽  
pp. 03006
Author(s):  
Xiaohui Hu
Keyword(s):  
United States ◽  
Regression Analysis ◽  
The United States ◽  
Intermodal Transportation ◽  
Road Transportation ◽  
Cross Border ◽  
Logistics Mode ◽  
Transportation Logistics ◽  
The Impact

China’s cross-border e-commerce companies are facing the problem of high logistics cost caused by excessive reliance on road transportation in domestic logistics link. In the long-term development, crossborder e-commerce companies in the United States have adopted the intermodal transportation logistics mode, which can reduced the domestic logistics costs. In order to study the impact of intermodal-transportation logistics mode on the scale of cross-border e-commerce companies, this paper selects the relevant data of Hub Group, the first intermodal marketing company in North America, makes multiple regression analysis, and draws the following conclusion: the intermodal-transportation logistics mode of highway and railway collaborative transportation is conducive to the expansion of cross-border e-commerce business scale.

Assessment of symptoms on patients with urinary tract infections and adherence to medications

2021 ◽  
Vol 12 (3) ◽  
pp. 1740-1744
Author(s):  
Eva Lorel Kouassi ◽  
Abdul Wahid Ishaque ◽  
Amulya P. Shetty ◽  
Rimpa Devi ◽  
Sheethal Kuriakose ◽  
...  
Keyword(s):  
Urinary Tract ◽  
Urinary Tract Infections ◽  
Bacterial Infections ◽  
Developed Countries ◽  
P Value ◽  
Strong Positive Correlation ◽  
Early Assessment ◽  
Tract Infections ◽  
Outpatient Settings ◽  
The Impact

Although urinary tract infections (UTIs) are considered to be the most common bacterial infections worldwide, their assessment remains a big clinical challenge, because they are not reportable diseases in developed countries like United States and any other parts of the world including India. This situation is further complicated by the fact that accurate diagnosis depends on both the presence of symptoms and a positive urine culture, although in most outpatient settings this diagnosis is made without the benefit of culture. Our study aimed to appraise the impact of urinary tract infections symptoms on selected patients and comprehend their adherence to medications despite the challenges of antimicrobial susceptibility and resistance observed. One hundred and twenty patients with confirmed cases of urinary tract infections were recruited for the study. The mean age of females and males patients was found to be 59.86±2.37and 52.27±3 years respectively. Pertinent descriptive and inferential statistics were performed. Spearman correlation test revealed a strong positive correlation between overall UTIs’ symptoms and their impact on patients at baseline (0.84) and at follow up (0.799) with p value =0.5. On the other hand the majority of patients were found to be adherent to the medications after discharge. The current study revealed that Urinary tract infections if left untreated can negatively impact the lives of patients suffering from it and hinder their adherence to medications. Consequently, accurate and early assessment of UTIs’ symptoms in clinics and hospitals becomes a necessity.

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