scholarly journals 786. Facility Reported vs. CLSI MIC Breakpoint Comparison of Carbapenem Non-susceptible (Carb-NS) Pseudomonas aeruginosa (PSA) From 2016-2019: A Multicenter Evaluation

2021 ◽  
Vol 8 (Supplement_1) ◽  
pp. S490-S490
Author(s):  
Vikas Gupta ◽  
Kalvin Yu ◽  
Jason M Pogue ◽  
Janet Weeks ◽  
Cornelius J Clancy

Abstract Background CLSI lowered Pseudomonas aeruginosa (PSA) Carbapenem (Carb) interpretive breakpoint minimum inhibitory concentrations (MICs) in 2012. It often takes several years for commercial test manufacturers and microbiology labs to incorporate revised breakpoints. We compare facility-reported rates of Carb-NS PSA to the 2012 CLSI MIC breakpoints, using a large nationwide database for isolates tested in 2016-2020 at United States (US) facilities. Table. Imipenem (IPM)/meropenem (MEM)/doripenem (DOR) interpretation (evaluable isolates) results for PSA. Methods All adults with a positive non-contaminant PSA culture (first isolate per 30-day period from blood, respiratory, urine, skin/wound, intra-abdominal, or other) in ambulatory and inpatient settings from 298 US hospitals from Q1 2016-Q4 2020 were evaluated (BD Insights Research Database, Becton, Dickinson & Company). Facility-reported Carb-non susceptible (NS) was defined as lab information system feed designations of susceptible (S), intermediate (I) or resistant (R) to imipenem (IPM), meropenem (MEM) and/or doripenem (DOR) per commercial panels. Where available, MICs were interpreted using CLSI 2012 Carb breakpoints (µg/ml) of ≤2 (S), 4 (I), ≥8 (R) for IPM/MEM/DOR. For evaluable PSA isolates we compared susceptibility results as reported by the facility to those using CLSI MIC breakpoints. Results Overall, 86.9% (255,844/294,426) of non-duplicate PSA isolates with facility-reported IPM/MEM/DOR susceptibility interpretations also had interpretable MIC results. S rates were 84.9% and 83.3% as reported by facilities and determined by CLSI criteria, respectively (Table). Facilities under-reported Carb-NS by 9.8%, using CLSI criteria as the standard (10.4% and 7.7% of R and I isolates, respectively, were missed by facility reporting). Conclusion Systematic application of CLSI breakpoints in 2016-20 would have had minimal impact on PSA S rates in the US. However, facility reporting failed to identify ~10% of Carb-NS isolates. The clinical implications of this observation are unknown. Facilities should know their local epidemiology, decide if under-reporting might be an issue, and assess if there is any impact on their patients. Disclosures Vikas Gupta, PharmD, BCPS, Becton, Dickinson and Company (Employee, Shareholder) Kalvin Yu, MD, BD (Employee) Jason M Pogue, PharmD, BCPS, BCIDP, Merck (Consultant)QPex (Consultant)Shionogi (Consultant)Utility Therapeutics (Consultant)VenatoRX (Consultant) Janet Weeks, PhD, Becton, Dickinson and Company (Employee) Cornelius J. Clancy, MD, Merck (Grant/Research Support)

2021 ◽  
Vol 8 (Supplement_1) ◽  
pp. S423-S423
Author(s):  
Vikas Gupta ◽  
Kalvin Yu ◽  
Jason M Pogue ◽  
Janet Weeks ◽  
Cornelius J Clancy

Abstract Background Carbapenem (Carb) minimum inhibitory concentration (MIC) breakpoints were lowered by CLSI in 2010 and recognized by FDA in 2012. Adoption of revised breakpoints is often slow, which may lead to under-reporting of Carb non-susceptibility (NS) by facilities. We compare facility-reported rates of Carb-NS ENT to the CLSI MIC breakpoints for a large nationwide collection of isolates in the United States (US) from 2016-2019. Methods All adults with a positive non-contaminant ENT culture (first isolate of a species per 30-day period from blood, respiratory, urine, skin/wound, intra-abdominal, or other) in ambulatory/inpatient settings from up to 300 US hospitals from 2016-2019 were evaluated (BD Insights Research Database). Facility-reported Carb-NS was defined as: susceptible (S), intermediate (I) or R to ertapenem (ETP), imipenem (IPM), meropenem (MEM) and/or doripenem (DOR) per commercial panels. Where available, MICs were interpreted using CLSI 2010 MIC breakpoints (µg/ml): ≤ 0.5 (S), 1 (I), ≥ 2 (R) for ETP and ≤1 (S), 2 (I), and ≥ 4 (R) for IPM/MEM/DOR. For evaluable ENT isolates we compared susceptibility results as reported by the facility to CLSI MIC breakpoints. Results Overall, 77.4% (937,926/1,211,845) and 90.6% (2,157,785/2,381,824) non-duplicate ENT isolates with facility-reported susceptibility results also had interpretable MIC results for ETP and IPM/MEM/DOR, respectively (Tables). ETP S rates were 99.3% and 99.1% as reported by facilities and using CLSI criteria, respectively. S rates of other Carbs were 98.9% and 98.4% by facility reporting and CLSI criteria, respectively. Systematic application of CLSI breakpoints under-reported EPT-I and –R isolates by 24.2% and 16.4%, respectively, and identification of IPM/MEM/DOR-I and –R isolates by 31.3% and 22.7%, respectively. Conclusion Systematic application of CLSI breakpoints in 2016-19 would have had minimal impact on ENT S rates in the US. However, facility reporting failed to identify 18.8% of ETP I or R and 26.5% of IPM/MEM/DOR I or R isolates. The clinical implications of this observation are unknown. Facilities should know their local epidemiology, decide if under-reporting might be an issue, and assess if there is any impact on their patients. Disclosures Vikas Gupta, PharmD, BCPS, Becton, Dickinson and Company (Employee, Shareholder) Kalvin Yu, MD, BD (Employee) Jason M Pogue, PharmD, BCPS, BCIDP, Merck (Consultant)QPex (Consultant)Shionogi (Consultant)Utility Therapeutics (Consultant)VenatoRX (Consultant) Janet Weeks, PhD, Becton, Dickinson and Company (Employee) Cornelius J. Clancy, MD, Merck (Grant/Research Support)


2018 ◽  
Vol 5 (suppl_1) ◽  
pp. S313-S313
Author(s):  
S J Ryan Arends ◽  
Dee Shortridge ◽  
Mariana Castanheira ◽  
Jennifer M Streit ◽  
Robert K Flamm

Abstract Background Ceftolozane–tazobactam (C-T) is an antibacterial combination of a novel antipseudomonal cephalosporin and a β-lactamase inhibitor. C-T was approved by the US Food and Drug Administration in 2014 and by the European Medicines Agency in 2015 to treat complicated urinary tract infections, acute pyelonephritis, and complicated intra-abdominal infections. The Program to Assess Ceftolozane-Tazobactam Susceptibility (PACTS) monitors Gram-negative (GN) isolates resistant to C-T worldwide. In the current study, isolates were collected from patients hospitalized with bloodstream infections (BSIs) from 2015 to 2017 within the United States. Methods A total of 3,377 prevalence-based BSI GN isolates, including Escherichia coli (EC; 1,422), Klebsiella pneumoniae (KPN, 630), and Pseudomonas aeruginosa (PSA; 344), were collected during 2015 to 2017 from 32 PACTS hospitals in the United States. Isolates were tested for C-T susceptibility by CLSI broth microdilution method in a central monitoring laboratory (JMI Laboratories). Other antibiotics tested were amikacin (AMK), cefepime (FEP), ceftazidime (CAZ), colistin (COL), levofloxacin (LVX), meropenem (MEM), and piperacillin–tazobactam (TZP). Antibiotic-resistant phenotypes analyzed (CLSI, 2018) for EC and KPN included carbapenem-R (CR) and non-CR extended-spectrum β-lactamase (ESBL); as well as CAZ-nonsusceptible (CAZ-NS), MEM-NS, and COL-NS PSA. Results Of the 3,377 BSI GN isolates, 3,219 (95.3%) had a C-T MIC ≤ 4 mg/L. The three most prevalent GN species isolated from BSIs were EC (42.1%), KPN (18.7%), and PSA (10.2%). The %S of C-T and comparators for the top three pathogens are shown in the table. C-T showed activity against these isolates with %S of ≥96.0% against all three species. Of the comparators tested, AMK and COL also had high %S against these isolates. Conclusion C-T demonstrated activity against the most prevalent contemporary GN isolates from BSIs in the US. C-T was the only beta-lactam that had ≥96%S against all three species: EC, KPN, and PSA. For PSA, C-T maintained activity (>90%S) against isolates resistant to CAZ, TZP, and MEM. These data suggest that C-T may be a useful treatment for GN BSI. Disclosures S. J. R. Arends, Merck: Research Contractor, Research support. D. Shortridge, Merck: Research Contractor, Research support. M. Castanheira, Merck: Research Contractor, Research support. J. M. Streit, Merck: Research Contractor, Research support. R. K. Flamm, Merck: Research Contractor, Research support.


2021 ◽  
Vol 8 (Supplement_1) ◽  
pp. S301-S301
Author(s):  
Karri A Bauer ◽  
Kalvin Yu ◽  
Vikas Gupta ◽  
Laura A Puzniak

Abstract Background The SARS-CoV-2 pandemic has revealed socioeconomic and healthcare inequities in the US. With approximately 20% of the population living in rural areas, there are limitations to healthcare access due to economic constraints, geographical distances, and provider shortages. There is limited data evaluating outcomes associated with SARS-CoV-2 positive patients treated at rural vs. urban hospitals. The aim of the study was to evaluate characteristics and outcomes of SARS-CoV-2 positive patients treated at rural vs. urban hospitals in the US. Methods This was a multicenter, retrospective cohort analysis of adult (≥ 18 years) hospitalized patients from 241 US acute care facilities with >1 day inpatient admission with a discharge or death between 3/6/20-5/15/21 (BD Insights Research Database [Becton, Dickinson & Company, Franklin Lakes, NJ]), which includes both small and large hospitals in rural and urban areas. SARS-CoV-2 infection was identified by a positive PCR or antigen during or < 7 days prior to hospital admission. Descriptive statistics were completed. P value of ≤0.05 was considered statistically significant. Results Overall, 42 (17.4%) and 199 (82.6%) of hospitals were classified as rural and urban, respectively. A total of 304,073 patients were admitted to a rural hospital with 12,644 (4.2%) SARS-CoV-2 positive. In comparison, a total of 2,844,100 patients were treated at an urban hospital with 132,678 (4.7%) SARS-CoV-2 positive. Patients admitted to rural hospitals were older compared to those treated at an urban hospital (65.2 ± 17.3 vs. 61.5 ± 18.7, P=0.001) (Table 1). Patients treated at an urban facility had significantly higher rates of ICU admission, severe sepsis, and mechanical ventilation. ICU length of stay was significantly longer for patients admitted to an urban hospital compared to a rural hospital (8.1 ± 9.9 vs. 6.1 ±7.2 days, P=0.001) (Table 2). No difference in mortality was observed. Table 1. Characteristics of SARS-CoV-2 positive patients treated at rural vs. urban hospitals. Table 2. Outcomes of SARS-CoV-2 patients treated at rural vs. urban hospitals. *Patients with available data. Conclusion In this large multicenter evaluation of hospitalized patients positive for SARS-CoV-2, there were significant differences in patient characteristics. There was no observed difference in mortality. These findings are important in evaluating the pandemic’s impact on patients in rural and urban healthcare settings. Disclosures Karri A. Bauer, PharmD, Merck & Co., Inc. (Employee, Shareholder) Kalvin Yu, MD, BD (Employee) Vikas Gupta, PharmD, BCPS, Becton, Dickinson and Company (Employee, Shareholder) Laura A. Puzniak, PhD, Merck & Co., Inc. (Employee)


2021 ◽  
Vol 8 (Supplement_1) ◽  
pp. S749-S749
Author(s):  
Marya Zilberberg ◽  
Brian Nathanson ◽  
Laura A Puzniak ◽  
Noah Zilberberg ◽  
Andrew F Shorr

Abstract Background Nosocomial pneumonia (NP) remains a costly complication of hospitalization. Consisting of hospital-acquired ventilated (vHABP) and non-ventilated (nvHABP), and ventilator-associated (VABP) bacterial pneumonia, these conditions themselves are fraught with further complications. We examined hospital resource utilization (HRU) and the rates of important complications in these three groups in a large US database. Methods We conducted a multicenter retrospective cohort study within Premier Research database, a source containing administrative, pharmacy, and microbiology data. The three types of NP were identified based on a slightly modified, previously published ICD-9/10-CM algorithm,1 and compared with respect to hospital costs, length of stay (LOS) and development of C. difficile infection (CDI), extubation failure (EF), and reintubation (RT). CDI was identified by its treatment with metronidazole, vancomycin, or fidaxomicin. Marginal effects were derived from multivariable regression analyses. Results Among 17,819 patients who met the enrollment criteria, 26.5% had nvHABP, 25.6% vHAPB, and 47.9% VABP. Patients with nvHABP were oldest (mean 66.7+/-15.1 years) and those with VABP were youngest (59.7+/-16.6 years). vHABP was associated with the highest chronic disease burden (mean Charlson score 4.1+/-2.8) and VABP with lowest (3.2+/-2.5). Patients with nvHABP had lowest severity of acute illness (ICU 58.0%, vasopressors 7.7%), and those with vHABP were most likely to require vasopressors (38.8%). The adjusted EF and RT in vHABP and VABP, and CDI rates, and adjusted post-infection onset hospital LOS across all groups were similar. The adjusted marginal post-infection onset ICU LOS and total hospital costs relative to nvHABP were 5.9 (95% CI 5.4, 6.3) days and &6,814 (95% CI &3,637, &9,991) in vHABP, and 6.5 (95% CI 6.0, 6.9) days and &16,782 (95% CI &13,446, &20,118) in VABP. Conclusion Both HABP and VABP remain associated with significant morbidity and HRU in the US. VABP was associated with the longest post-infection ICU LOS and highest hospital costs. Reference 1. Zilberberg et al. Chest 2019;155:1119-30 Disclosures Marya Zilberberg, MD, MPH, Cleveland Clinic (Consultant)J&J (Shareholder)Lungpacer (Consultant, Grant/Research Support)Merck (Grant/Research Support)scPharma (Consultant)Sedana (Consultant, Grant/Research Support)Spero (Grant/Research Support) Brian Nathanson, PhD, Lungpacer (Grant/Research Support)Merck (Grant/Research Support)Spero (Grant/Research Support) Laura A. Puzniak, PhD, Merck & Co., Inc. (Employee) Andrew F. Shorr, MD, MPH, MBA, Merck (Consultant)


2020 ◽  
Vol 7 (Supplement_1) ◽  
pp. S256-S257
Author(s):  
Laura A Puzniak ◽  
Lyn Finelli ◽  
Karri A Bauer ◽  
Pamela Moise ◽  
Kalvin Yu ◽  
...  

Abstract Background Past experiences with viral epidemics have indicated an increased risk for bacterial, fungal, or other viral secondary or co-infections due to patient characteristics, healthcare exposures and biological factors. It is important to understand the epidemiology of these infections to properly treat and manage these complex patients. This study evaluates the frequency, source, and pathogens identified among SARS-CoV-2 tested patients. Methods This was a multi-center, retrospective cohort analysis of SARS-COV-2 tested patients from 271 US acute care facilities with >1 day inpatient admission with a discharge or death between 3/1/20–5/31/20 (BD Insights Research Database [Becton, Dickinson & Company, Franklin Lakes, NJ]). We evaluated pathogens identified from blood, respiratory tract (upper/lower), urine, intra-abdominal (IA), skin/wound and other sources and classified them with respect to Gram-negative (GN), and Gram-positive (GP) bacteria, fungi, and viruses among those SARS-CoV-2 positive and negative. Results There were 599,709 admissions with 142,054 (23.7%) patients tested. Among those SARS-CoV-2 tested, 17,075 (12%) were positive and 124,979 (78%) were negative. The most common specimen collection sites (Table 1) and pathogens (Table 2) are shown. Higher rates of urine and respiratory cultures and higher rates of P. aeruginosa and fungi were seen in SARS CoV-2 positive patients. The top pathogens for urine cultures were Escherichia coli and Klebsiella pneumoniae, for blood Staphylococcus aureus and Escherichia coli and respiratory Staphylococcus aureus and Pseudomonas aeruginosa. SARS-CoV-2 positive patients had an overall longer length of stay (LOS) than negative, which almost doubled when a positive pathogen was identified. Conclusion There were similar rates of positive pathogen identification among SARS-CoV-2 test positive and negative patients, which might highlight similarities in clinical presentation. However, SARS-CoV-2 positive patients had longer hospital LOS and LOS increased with positive culture. Sources of infection and pathogens varied based on a positive or negative SARS-CoV-2 result. Identifying likely causative pathogens of co-infections in the era of SARS-CoV-2 is critical for treatment optimization. Disclosures Laura A. Puzniak, PhD, Merck (Employee) Lyn Finelli, DrPH, MS, Merck & Co Inc, (Employee) Karri A. Bauer, PharmD, Merck Research Laboratories (Employee) Pamela Moise, PharmD, Merck & Co., Inc. (Employee, Shareholder) Kalvin Yu, MD, Becton, Dickinson and Company (Employee)GlaxoSmithKline plc. (Other Financial or Material Support, Funding) Carisa De Anda, PharmD, Merck & Co Inc, (Employee) Latha Vankeepuram, MS, BD (Employee) Prashant Parikh, n/a, Becton, Dickinson and Company (Employee) Vikas Gupta, PharmD, BCPS, Becton, Dickinson and Company (Employee, Shareholder)GlaxoSmithKline plc. (Other Financial or Material Support, Funding)


2021 ◽  
Vol 8 (Supplement_1) ◽  
pp. S108-S108
Author(s):  
Amine Amiche ◽  
Heidi Kabler ◽  
Janet Weeks ◽  
Kalvin Yu ◽  
Vikas Gupta

Abstract Background Influenza infection may affect bacterial transmission dynamics and seasonality of antimicrobial resistance (AMR). There is a paucity of data on the association of influenza season and AMR rates. We aimed to describe trends of AMR and their correlation with the influenza season in ambulatory and inpatient settings in the United States (US). Methods We used the BD Insights Research Database (Franklin Lakes, NJ USA) to identify 30 day non-duplicate isolates collected from patients >17 years old with susceptibility profile of Gram-negative (GN) (Enterobacterales (ENT), P. aeruginosa (PSA), A. baumannii spp. (ACB), and S. maltophilia (Sm)) and Gram-positive (GP) pathogens (S. aureus (SA), and S. pneumoniae (Sp)) in up to 257 US healthcare institutions from 2011-19. We defined the outcomes as rates per 100 admissions and % of non-susceptibility (NS), stratified by community and inpatient settings, resistance type (resistance to carbapenem (Carb-NS), quinolone (FQ-NS), macrolide (Macr NS), penicillin (PCN NS), and extended spectrum cephalosporin (ESC NS)) and isolate origin (respiratory and non-respiratory). Influenza data were presented as the % of positive laboratory tests. We used descriptive statistics and generalized estimating equations models to evaluate the monthly trends of AMR outcomes and correlation with the influenza season. Results We identified 16 576 274 confirmed non-duplicate pathogens, of which 154 841 were GN Carb-NS, 1 502 796 GN FQ-NS, 498 012 methicillin resistant SA (MRSA), and 44 131 Macr-NS, PCN-NS, and ESC-NS Sp. Among the Carb-NS pathogens, Influenza rate was correlated with % ACB-NS [β= 0.205, p< .001]. In the FQ-NS group, influenza was associated with overall % ENT-NS [β= 0.041 p< .001] and % PSA-NS [β= 0.039, p = .015]. For the GP pathogens, all Sp. rates were correlated with increased influenza positivity % (See Table). Only MRSA rates of respiratory source were associated with influenza [β= .066, p=.028]. Summary of Multivariate regressions of AMR and % Flu by Source and Setting (controlling for hospital level factors): 2011-2019 Data in each cell is presented as the coefficient and p-value is in parentheses. ^adjusted for region, teaching, urban, bed size, and season. + p<.10 *p <.05 **p <.01 ***p <.001 Conclusion Our study revealed surprising association between influenza epidemics and GN resistance and corroborated the evidence of correlation between respiratory GP and influenza infections. These insights may help inform targeted antimicrobial stewardship initiatives during influenza season. Disclosures Amine Amiche, PhD, Sanofi (Employee, Shareholder) Heidi Kabler, MD, Sanofi Pasteur (Employee) Janet Weeks, PhD, Becton, Dickinson and Company (Employee) Kalvin Yu, MD, BD (Employee) Vikas Gupta, PharmD, BCPS, Becton, Dickinson and Company (Employee, Shareholder)


2020 ◽  
Vol 91 (7) ◽  
pp. 592-596
Author(s):  
Quinn Dufurrena ◽  
Kazi Imran Ullah ◽  
Erin Taub ◽  
Connor Leszczuk ◽  
Sahar Ahmad

BACKGROUND: Remotely guided ultrasound (US) examinations carried out by nonmedical personnel (novices) have been shown to produce clinically useful examinations, at least in small pilot studies. Comparison of the quality of such exams to those carried out by trained medical professionals is lacking in the literature. This study compared the objective quality and clinical utility of cardiac and pulmonary US examinations carried out by novices and trained physicians.METHODS: Cardiac and pulmonary US examinations were carried out by novices under remote guidance by an US expert and independently by US trained physicians. Exams were blindly evaluated by US experts for both a task-based objective score as well as a subjective assessment of clinical utility.RESULTS: Participating in the study were 16 novices and 9 physicians. Novices took longer to complete the US exams (median 641.5 s vs. 256 s). For the objective component, novices scored higher in exams evaluating for pneumothorax (100% vs. 87.5%). For the subjective component, novices more often obtained clinically useful exams in the assessment of cardiac regional wall motion abnormalities (56.3% vs. 11.1%). No other comparisons yielded statistically significant differences between the two groups. Both groups had generally higher scores for pulmonary examinations compared to cardiac. There was variability in the quality of exams carried out by novices depending on their expert guide.CONCLUSION: Remotely guided novices are able to carry out cardiac and pulmonary US examinations with similar, if not better, technical proficiency and clinical utility as US trained physicians, though they take longer to do so.Dufurrena Q, Ullah KI, Taub E, Leszczuk C, Ahmad S. Feasibility and clinical implications of remotely guided ultrasound examinations. Aerosp Med Hum Perform. 2020; 91(7):592–596.


2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Laura Puzniak ◽  
Lyn Finelli ◽  
Kalvin C. Yu ◽  
Karri A. Bauer ◽  
Pamela Moise ◽  
...  

Abstract Background Past respiratory viral epidemics suggest that bacterial infections impact clinical outcomes. There is minimal information on potential co-pathogens in patients with coronavirus disease-2019 (COVID-19) in the US. We analyzed pathogens, antimicrobial use, and healthcare utilization in hospitalized US patients with and without severe acute respiratory syndrome-coronavirus-2 (SARS-CoV-2). Methods This multicenter retrospective study included patients with > 1 day of inpatient admission and discharge/death between March 1 and May 31, 2020 at 241 US acute care hospitals in the BD Insights Research Database. We assessed microbiological testing data, antimicrobial utilization in admitted patients with ≥24 h of antimicrobial therapy, and length of stay (LOS). Results A total of 141,621 patients were tested for SARS-CoV-2 (17,003 [12.0%] positive) and 449,339 patients were not tested. Most (> 90%) patients tested for SARS-CoV-2 had additional microbiologic testing performed compared with 41.9% of SARS-CoV-2-untested patients. Non-SARS-CoV-2 pathogen rates were 20.9% for SARS-CoV-2-positive patients compared with 21.3 and 27.9% for SARS-CoV-2-negative and −untested patients, respectively. Gram-negative bacteria were the most common pathogens (45.5, 44.1, and 43.5% for SARS-CoV-2-positive, −negative, and −untested patients). SARS-CoV-2-positive patients had higher rates of hospital-onset (versus admission-onset) non-SARS-CoV-2 pathogens compared with SARS-CoV-2-negative or −untested patients (42.4, 22.2, and 19.5%, respectively), more antimicrobial usage (68.0, 45.2, and 25.1% of patients), and longer hospital LOS (mean [standard deviation (SD)] of 8.6 [11.4], 5.1 [8.9], and 4.2 [8.0] days) and intensive care unit (ICU) LOS (mean [SD] of 7.8 [8.5], 3.6 [6.2], and 3.6 [5.9] days). For all groups, the presence of a non-SARS-CoV-2 pathogen was associated with increased hospital LOS (mean [SD] days for patients with versus without a non-SARS-CoV-2 pathogen: 13.7 [15.7] vs 7.3 [9.6] days for SARS-CoV-2-positive patients, 8.2 [11.5] vs 4.3 [7.9] days for SARS-CoV-2-negative patients, and 7.1 [11.0] vs 3.9 [7.4] days for SARS-CoV-2-untested patients). Conclusions Despite similar rates of non-SARS-CoV-2 pathogens in SARS-CoV-2-positive, −negative, and −untested patients, SARS-CoV-2 was associated with higher rates of hospital-onset infections, greater antimicrobial usage, and extended hospital and ICU LOS. This finding highlights the heavy burden of the COVID-19 pandemic on healthcare systems and suggests possible opportunities for diagnostic and antimicrobial stewardship.


2020 ◽  
Vol 7 (Supplement_1) ◽  
pp. S832-S832
Author(s):  
Keith S Kaye ◽  
Vikas Gupta ◽  
Aruni Mulgirigama ◽  
Ashish V Joshi ◽  
Nicole Scangarella-Oman ◽  
...  

Abstract Background An estimated 12% of women experience ≥ 1 episode of urinary tract infection (UTI) annually. Incidence is bimodal, with peaks occurring in young, sexually active women (18–24 years) and in post-menopausal women. Previous studies suggest the prevalence of antimicrobial resistance (AMR) in UTI is rising; however recent AMR data for community-acquired UTI are lacking. We estimated the prevalence of AMR among US females with outpatient UTI in 2011–2019, stratified by age. Methods A retrospective, multicenter, cohort study of AMR among non-duplicate urine isolates in US females (≥ 12 years of age) from 296 institutions from 2011–2019 (BD Insights Research Database, Franklin Lakes, NJ). Phenotypes examined for Enterobacterales (ENT) were: extended spectrum β-lactamase positive (ESBL+; determined by commercial panels or intermediate/resistant to ceftriaxone, cefotaxime, ceftazidime or cefepime); nitrofurantoin (NFT) not-susceptible (NS); fluoroquinolone (FQ) NS; trimethoprim-sulfamethoxazole (TMP-SMX) NS; and NS to ≥ 2 or ≥ 3 drug classes (including ESBL+). Gram-positive phenotypes were, methicillin resistant S. aureus and S. saprophyticus and vancomycin-resistant Enterococcus. Isolates were stratified by patient age (≥ 12 to < 18, ≥ 18 to < 55, ≥ 55 to < 65, ≥ 65 to < 75, ≥ 75 years). Chi-square tests were used to evaluate AMR difference between groups. Results In total, urine isolates were collected from 106 to 296 (2011–2019) US sites. Overall, the prevalence of antimicrobial NS increased with age for all E. coli phenotypes (all P< 0.001; Table 1), and for non-E. coli ENT (all P< 0.001), except NFT NS, which decreased from 70.6% to 59.7% (P=0.002; Table 2). The greatest difference between age groups in prevalence of resistance was observed for FQ NS E.coli: 5.8% (≥ 12 to < 18 years) vs 34.5% (≥ 75 years). For the multi-drug resistant E. coli phenotypes, resistance increased with age, ranging from 4.8–22.4% and 0.9–6.5% for ≥ 2 and ≥ 3 drug NS, respectively. Overall, the prevalence of resistance for Gram-positive phenotypes increased with age (all P< 0.001; Table 3). Table 1. Prevalence of antimicrobial resistance among E. coli isolates in US females with outpatient UTI by age group. Table 2. Prevalence of antimicrobial resistance among non-E. coli ENT isolates in US females with outpatient UTI by age group. Table 3. Prevalence of antimicrobial resistance among Gram-positive isolates in US females with outpatient UTI by age group. Conclusion The prevalence of AMR in E. coli and non-E. coli ENT increased with age among US females presenting for care in the outpatient setting overall. A similar trend increase by age is also seen in Gram-positive isolates. Disclosures Vikas Gupta, PharmD, BCPS, Becton, Dickinson and Company (Employee, Shareholder)GlaxoSmithKline plc. (Other Financial or Material Support, Funding) Aruni Mulgirigama, MBBS, GlaxoSmithKline plc. (Employee, Shareholder) Ashish V. Joshi, PhD, GlaxoSmithKline plc. (Employee, Shareholder) Nicole Scangarella-Oman, MS, GlaxoSmithKline plc. (Employee, Shareholder) Kalvin Yu, MD, Becton, Dickinson and Company (Employee)GlaxoSmithKline plc. (Other Financial or Material Support, Funding) Gang Ye, PhD, Becton, Dickinson and Company (Employee)GlaxoSmithKline plc. (Other Financial or Material Support, Funding) Fanny S. Mitrani-Gold, MPH, GlaxoSmithKline plc. (Employee, Shareholder)


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