506. Variation in Occupational Activities and Infection Prevention Practices in Healthcare Personnel Based on Exposure to COVID-19 Units

Abstract Background Healthcare personnel (HCP) may be at increased risk for COVID-19, but differences in risk by work activities are poorly defined. Centers for Disease Control and Prevention recommends cohorting hospitalized patients with COVID-19 to reduce in-hospital transmission of SARS-CoV-2, but it is unknown if occupational and non-occupational behaviors differ based on exposure to COVID-19 units. Methods We analyzed a subset of HCP from an ongoing CDC-funded SARS-CoV-2 serosurveillance study. HCP were recruited from four Atlanta hospitals of different sizes and patient populations. All HCP completed a baseline REDCap survey. We used logistic regression to compare occupational activities and infection prevention practices among HCP stratified by exposure to COVID-19 units: low (0% of shifts), medium (1–49% of shifts) or high (≥50% of shifts). Results Of 211 HCP enrolled (36% emergency department [ED] providers, 35% inpatient RNs, 17% inpatient MDs/APPs, 7% radiology technicians and 6% respiratory therapists [RTs]), the majority (79%) were female and the median age was 35 years. Nearly half of the inpatient MD/APPs (46%) and RNs (47%) and over two-thirds of the RTs (67%) worked primarily in the ICU. Aerosol generating procedures were common among RNs, MD/APPs, and RTs (26–58% performed ≥1), but rare among ED providers (0–13% performed ≥1). Compared to HCP with low exposure to COVID-19 units, those with medium or high exposure spent a similar proportion of shifts directly at the bedside and were about as likely to practice universal masking. Being able to consistently social distance from co-workers was rare (33%); HCP with high exposure to COVID-19 units were less likely to report social distancing in the workplace compared to those with low exposure; however, this was not significantly different (OR 0.6; 95% CI: 0.3, 1.1). Concerns about personal protective equipment in COVID-19 units were similar across levels of exposure (Table 1). Table 1: Occupational activities and infection prevention behaviors of healthcare personnel stratified by level of exposure to COVID-19 units Conclusion The proportion of time spent in dedicated COVID-19 units did not appear to influence time HCP spend directly at the bedside or infection prevention practices (social distancing and universal masking) in the workplace. Risk for SARS-CoV-2 infection in HCP may depend more on factors acting at the individual level rather than those related to location of work. Disclosures Jessica Howard-Anderson, MD, Antibacterial Resistance Leadership Group (ARLG) (Other Financial or Material Support, The ARLG fellowship provides salary support for ID fellowship and mentored research training) Ben Lopman, PhD, MSc, Takeda Pharmaceuticals (Advisor or Review Panel member, Research Grant or Support, Other Financial or Material Support, Personal fees)World Health Organization (Advisor or Review Panel member, Other Financial or Material Support, Personal fees for technical advice and analysis)

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1104. Risk Factors and Outcomes of Refractory and/or Resistant Cytomegalovirus (CMV) Infection after Allogeneic Hematopoietic Stem Cell Transplantation

Open Forum Infectious Diseases ◽

10.1093/ofid/ofaa439.1290 ◽

2020 ◽

Vol 7 (Supplement_1) ◽

pp. S582-S583

Author(s):

Eleni Karantoni ◽

Yiqi Su ◽

Anat Stern ◽

Phaedon D Zavras ◽

Sergio Giralt ◽

...

Keyword(s):

Risk Factors ◽

Overall Survival ◽

T Cell ◽

Panel Member ◽

Multivariable Model ◽

Research Support ◽

Review Panel ◽

Material Support ◽

Advisory Boards ◽

Research Grant

Abstract Background The epidemiology of CMV end-organ disease (EOD) after Hematopoietic Cell Transplant (HCT) in the era of preemptive therapy (PET) is defined. In contrast, less data exists on refractory and/or resistant (R/R) CMV. We report on 1) the incidence; 2) risk factors and outcomes of R/R CMV by 1-year post HCT. Methods Retrospective review of 167 CMV seropositive (R+) recipients of first marrow or peripheral blood HCT from 1/2014 - 12/2017 managed by PET. Refractory CMV was defined as failure to achieve >1 log10 decrease in CMV viral load (VL) and having VL >1,000 IU/mL after ≥14 day of PET. Resistant CMV required genotypic confirmation of resistance mutation(s) in UL54 and/or UL97 genes. End organ disease (EOD) was defined by standard criteria. Patients (pts) were followed through 1-year post HCT and were categorized in two mutually exclusive groups as R/R and no R/R. Demographics, clinical characteristics and outcomes were extracted from medical records and hospital databases. Univariable and multivariable logistic models were used to identify risk factors for R/R CMV. Results Of 167 PET recipients, 91 (54.5%) received ex vivo T cell depleted (TCD) HCT; 40 (24.0%) had mismatched donor; and 26 (15.6%) had multiple myeloma. 66/167 (39.5%) pts developed refractory CMV (6 pts also had resistant CMV). Time from HCT to CMV viremia was shorter in R/R group: median (IQR) 21.5 (17.2-27.8) days compared to no R/R group: 26 (19-32) days (p=0.031). Maximum VL was higher for R/R compared to no R/R: median (IQR) 9,118 (2,849-18,456) and 868 (474-1,908), respectively (p< 0.001). In multivariable model, risk factors for R/R included TCD HCT (p< 0.0001) and higher VL at PET initiation (p=0.0002). In contrast, CMV seropositive donor (p=0.035) was protective (Figure 1). CMV EOD developed in 28.2% of R/R and 16.2% of no R/R groups (p=0.085) (Figure 2). Overall survival at 1 year was 59.1% for R/R compared to 83.1% for no R/R group (p=0.00027) (Figure 3). Figure 1. Adjusted odds ratio (OR) and 95% confidence interval (CI) from multivariable model evaluating risk factors of refractory/resistant (R/R) CMV. Figure 2. Cumulative incidence curves of CMV end-organ disease (EOD) at 1-year post HCT Figure 3. Kaplan-Meier survival curves of overall survival (OS) at 1-year post HCT Conclusion 1) Refractory and/or resistant CMV occurred in 39,5% of PET recipients. 2) T-cell depletion and higher CMV VL at PET initiation were risk factors for R/R CMV in multivariable models. 3) R/R CMV was associated with more EOD and worse overall survival. Disclosures Sergio Giralt, MD, Amgen (Advisor or Review Panel member, Research Grant or Support, Served an advisory board for Amgen, Actinuum, Celgene, Johnson & Johnson, JAZZ pharmaceutical, Takeda, Novartis, KITE, and Spectrum pharma and has received research support from Amgen, Actinuum, Celgene, Johnson & Johnson, and Miltenyi, Takeda.) Miguel-Angel Perales, MD, Abbvie (Other Financial or Material Support, Honoraria from Abbvie, Bellicum, Celgene, Bristol-Myers Squibb, Incyte, Merck, Novartis, Nektar Therapeutics, Omeros, and Takeda.)ASTCT (Other Financial or Material Support, Volunteer member of the Board of Directors of American Society for Transplantation and Cellular Therapy (ASTCT), Be The Match (National Marrow Donor Program, NMDP), and the CIBMTR Cellular Immunotherapy Data Resource (CIDR) Committee)Cidara Therapeutics (Advisor or Review Panel member, Other Financial or Material Support, Serve on DSMBs for Cidara Therapeutics, Servier and Medigene, and the scientific advisory boards of MolMed and NexImmune.)Kite/Gilead (Research Grant or Support, Other Financial or Material Support, Received research support for clinical trials from Incyte, Kite/Gilead and Miltenyi Biotec.) Genovefa Papanicolaou, MD, Chimerix (Research Grant or Support)Merck&Co (Research Grant or Support, Investigator and received funding and consulting fees from Merck, Chimerix, Shire and Astellas)

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472. The Utility of Infectious Diseases E-consults in the Era of COVID-19

Open Forum Infectious Diseases ◽

10.1093/ofid/ofaa439.665 ◽

2020 ◽

Vol 7 (Supplement_1) ◽

pp. S302-S303

Author(s):

Hala Saad ◽

Kruti Yagnik ◽

Helen King ◽

Roger Bedimo ◽

Richard J Medford

Keyword(s):

Health Care ◽

Infectious Diseases ◽

Infection Prevention ◽

Panel Member ◽

University Hospital ◽

North Texas ◽

Review Panel ◽

The North ◽

Time To Completion ◽

Texas Health

Abstract Background During the COVID-19 pandemic, rapid Infectious Diseases (ID) consultation has been required to answer novel questions regarding SARS-CoV-2 testing and infection prevention. We sought to evaluate the utility of e-consults to triage and provide rapid ID recommendations to providers. Methods We performed a retrospective study reviewing ID e-consults in three institutions in the North Texas region: Clements University Hospital (CUH), Parkland Hospital and Health System (PHHS), and the VA North Texas Health Care System (VA) from March 1, 2020 to May 15, 2020. Variables collected include age, sex, ethnicity, comorbidities, time to completion, reason for consult and outcome of consult (initiation or removal of personal protective equipment (PPE) and recommendation to test or retest for COVID-19). Results We performed all analysis using R studio (Version 1.3.959). Characteristics of 198 patients included: 112(57%) male, 86(43%) female, 86(43%) Caucasian, 71(36%) Hispanic, 42(21%) African American, 6(3%) Asian and mean(sd) age of 55.1(15.9). Patient comorbidities included: 89(45%) with a heart condition, 77(39%) diabetes, 30(15%) asthma and 14(7%) liver disease. Median time to completion for all hospitals was 4 hours(h); ((CUH (4h) vs PHHS (2h), p< 0.05; VA (5.5h) vs PHHS (2h) p< 0.05)). Most common reasons for e-consult included: (63)32% regarding re-testing ((CUH 14(21%) vs PHHS 43(50%), p< 0.05; CUH vs VA 14(27%), p< 0.05; PHHS vs VA, p< 0.05)), (61)31% testing ((CUH 25(37%) vs PHHS 39(45%), p< 0.05; CUH vs VA 7(16%), p< 0.05; PHHS vs VA, p< 0.05)) and 61(31%) infection prevention (IP). Based on the e-consult recommendation, 53(27%) of patients were tested ((CUH 31(45%) vs PHHS 11(13%), p< 0.05, CUH vs VA 11(25%), PHHS vs VA, p< 0.05)), 45(23%) were re-tested, 44(22%) of patients had PPE started on and 19% had PPE removed ((CUH 0(0%) vs PHHS 16(19%), p< 0.05; CUH vs VA 21(48%), p< 0.05; PHHS vs VA, p< 0.05)). Reason for Consult Conclusion E-consult services can provide prompt ID input during the COVID-19 pandemic, minimizing the risk of infection to the patient and health care workers while preserving PPE and testing supplies. Disclosures Roger Bedimo, MD, MS, Gilead Sciences (Consultant)Merck & Co. (Advisor or Review Panel member)ViiV Healthcare (Advisor or Review Panel member, Research Grant or Support)

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337. SARS-CoV-2 Viral Load Does Not Predict Incident Venous Thromboembolism in COVID-19

Open Forum Infectious Diseases ◽

10.1093/ofid/ofab466.538 ◽

2021 ◽

Vol 8 (Supplement_1) ◽

pp. S273-S273

Author(s):

Simon Pollett ◽

Benjamin Wier ◽

Stephanie A Richard ◽

Anthony C Fries ◽

Ryan C Maves ◽

...

Keyword(s):

Logistic Regression ◽

Viral Load ◽

Venous Thromboembolism ◽

Vaccine Trial ◽

Panel Member ◽

Phase Iii ◽

Review Panel ◽

Military Health ◽

Material Support ◽

Icd 10

Abstract Background The risk factors of venous thromboembolism (VTE) in COVID-19 warrant further study. We leveraged a cohort in the Military Health System (MHS) to identify clinical and virological predictors of incident deep venous thrombosis (DVT), pulmonary embolism (PE), and other VTE within 90-days after COVID-19 onset. Methods PCR or serologically-confirmed SARS-CoV-2 infected MHS beneficiaries were enrolled via nine military treatment facilities (MTF) through April 2021. Case characteristics were derived from interview and review of the electronic medical record (EMR) through one-year follow-up in outpatients and inpatients. qPCR was performed on upper respiratory swab specimens collected post-enrollment to estimate SARS-CoV-2 viral load. The frequency of incident DVT, PE, or other VTE by 90-days post-COVID-19 onset were ascertained by ICD-10 code. Correlates of 90-day VTE were determined through multivariate logistic regression, including age and sampling-time-adjusted log10-SARS-CoV-2 GE/reaction as a priori predictors in addition to other demographic and clinical covariates which were selected through stepwise regression. Results 1473 participants with SARS-CoV-2 infection were enrolled through April 2021. 21% of study participants were inpatients; the mean age was 41 years (SD = 17.0 years). The median Charlson Comorbidity Index score was 0 (IQR = 0 - 1, range = 0 - 13). 27 (1.8%) had a prior history of VTE. Mean maximum viral load observed was 1.65 x 107 genome equivalents/reaction. 36 (2.4%) of all SARS-CoV-2 cases (including inpatients and outpatients), 29 (9.5%) of COVID-19 inpatients, and 7 (0.6%) of outpatients received an ICD-10 diagnosis of any VTE within 90 days after COVID-19 onset. Logistic regression identified hospitalization (aOR = 11.1, p = 0.003) and prior VTE (aOR = 6.2 , p = 0.009) as independent predictors of VTE within 90 days of symptom onset. Neither age (aOR = 1.0, p = 0.50), other demographic covariates, other comorbidities, nor SARS-CoV-2 viral load (aOR = 1.1, p = 0.60) were associated with 90-day VTE. Conclusion VTE was relatively frequent in this MHS cohort. SARS-CoV-2 viral load did not increase the odds of 90-day VTE. Rather, being hospitalized for SARS-CoV-2 and prior VTE history remained the strongest predictors of this complication. Disclosures Simon Pollett, MBBS, Astra Zeneca (Other Financial or Material Support, HJF, in support of USU IDCRP, funded under a CRADA to augment the conduct of an unrelated Phase III COVID-19 vaccine trial sponsored by AstraZeneca as part of USG response (unrelated work)) Ryan C. Maves, MD, EMD Serono (Advisor or Review Panel member)Heron Therapeutics (Advisor or Review Panel member) David A. Lindholm, MD, American Board of Internal Medicine (Individual(s) Involved: Self): Member of Auxiliary R&D Infectious Disease Item-Writer Task Force. No financial support received. No exam questions will be disclosed ., Other Financial or Material Support David Tribble, M.D., DrPH, Astra Zeneca (Other Financial or Material Support, HJF, in support of USU IDCRP, funded under a CRADA to augment the conduct of an unrelated Phase III COVID-19 vaccine trial sponsored by AstraZeneca as part of USG response (unrelated work))

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LB1. Remdesivir for the Treatment of High-Risk Non-Hospitalized Individuals With COVID-19: A Randomized, Double-Blind, Placebo-Controlled Trial

Open Forum Infectious Diseases ◽

10.1093/ofid/ofab466.1642 ◽

2021 ◽

Vol 8 (Supplement_1) ◽

pp. S806-S807

Author(s):

Joshua A Hill ◽

Roger Paredes ◽

Carlos Vaca ◽

Jorge Mera ◽

Brandon J Webb ◽

...

Keyword(s):

High Risk ◽

Research Study ◽

Scientific Research ◽

Panel Member ◽

Research Support ◽

Review Panel ◽

Double Blind ◽

Material Support ◽

Double Blind Placebo ◽

Study Investigator

Abstract Background Remdesivir (RDV) is a potent nucleotide prodrug inhibitor of the SARS-CoV-2 RNA-dependent RNA polymerase that has demonstrated efficacy in the treatment of patients hospitalized with moderate to severe COVID-19. This Phase 3 (GS-US-540–9012) double-blind, placebo-controlled study compared the efficacy and safety of 3 days of RDV to standard of care in non-hospitalized, high-risk participants with confirmed COVID-19. Table 1. COVID-19 related hospitalization or death, COVID-19 related medically attended visits or death, and Treatment Emergent Adverse Events Methods Participants were randomly assigned 1:1 to receive intravenous (IV) RDV (200 mg on day 1, 100 mg on days 2 to 3) or placebo. The primary efficacy endpoint was composite COVID-19 hospitalization or all-cause death by day 28 and compared using Cox proportional hazards model with baseline stratification factors as covariates. The primary safety endpoint was proportion of participants with treatment-emergent adverse events. Study enrollment was terminated early for administrative reasons in light of the evolving pandemic. Results 562 patients underwent randomization and started their assigned treatment (279, RDV; 283, placebo). Baseline demographics and characteristics were balanced across arms. Overall, 52% were male, 44% were Hispanic/Latino ethnicity and 30% were ≥ 60 years old. The most common comorbidities were diabetes mellitus (62%), obesity (56%; median BMI, 30.7), and hypertension (48%). Median baseline SARS-CoV-2 RNA nasopharyngeal viral load was 6.2 log10 copies/mL. Treatment with RDV significantly reduced COVID-19 hospitalization or all-cause death by day 28 (HR, 0.13; 95% CI, 0.03 – 0.59; p = 0.008; Table 1) compared to placebo. Participants receiving RDV also had significantly lower risk for COVID-19-related medically attended visits or all-cause death by day 28 compared to placebo (HR, 0.19; 95% CI, 0.07 – 0.56; p = 0.002; Table 1). No deaths occurred in either arm by day 28. There was no difference between arms in time-weighted average change in nasopharyngeal viral loads from baseline up to day 7. The proportion of patients with AEs was similar between arms (Table 1); the most common AEs in the RDV arm were nausea (11%), headache (6%), and diarrhea (4%). Conclusion A 3-day course of IV RDV was safe, well tolerated and highly effective at preventing COVID-19 related hospitalization or death in high-risk non-hospitalized COVID-19 patients. Disclosures Joshua A. Hill, MD, Allogene (Individual(s) Involved: Self): Consultant; Allovir (Individual(s) Involved: Self): Consultant, Grant/Research Support; Amplyx (Individual(s) Involved: Self): Consultant; Covance/CSL (Individual(s) Involved: Self): Consultant; CRISPR (Individual(s) Involved: Self): Consultant; Gilead (Individual(s) Involved: Self): Consultant, Grant/Research Support; Karius: Grant/Research Support, Scientific Research Study Investigator; Medscape (Individual(s) Involved: Self): Consultant; Octapharma (Individual(s) Involved: Self): Consultant; OptumHealth (Individual(s) Involved: Self): Consultant; Takeda (Individual(s) Involved: Self): Consultant, Grant/Research Support, Scientific Research Study Investigator Roger Paredes, MD, PhD, Gilead Sciences, Inc (Grant/Research Support, Scientific Research Study Investigator, Advisor or Review Panel member) Carlos Vaca, MD, Gilead Sciences, Inc (Scientific Research Study Investigator) Jorge Mera, MD, Gilead Sciences, Inc (Consultant, Study Investigator (payment to employer not self)) Gilberto Perez, MD, Gilead Sciences, Inc (Scientific Research Study Investigator) Godson Oguchi, MD, Gilead Sciences, Inc (Scientific Research Study Investigator) Pablo Ryan, MD PhD, Gilead Sciences, Inc (Grant/Research Support, Scientific Research Study Investigator, Advisor or Review Panel member) Jan Gerstoft, MD, Gilead Sciences, Inc (Other Financial or Material Support, Study Investigator (payment to employer)) Michael Brown, FRCP PhD, Gilead Sciences, Inc (Scientific Research Study Investigator, Investigator for numerous remdesivir trials (employer received compensation)) Morgan Katz, MD, MHS, Roche (Individual(s) Involved: Self): Advisor or Review Panel member; Skinclique (Individual(s) Involved: Self): Consultant Gregory Camus, PhD, Gilead Sciences (Employee, Shareholder) Danielle P. Porter, PhD, Gilead Sciences (Employee, Shareholder) Robert H. Hyland, DPhil, Gilead Sciences, Inc (Shareholder, Other Financial or Material Support, Employee during the conduct of this trial) Shuguang Chen, PhD, Gilead Sciences, Inc (Employee, Shareholder) Kavita Juneja, MD, Gilead Sciences, Inc (Employee) Anu Osinusi, MD, Gilead Sciences, Inc (Employee, Shareholder) Frank Duff, MD, Gilead Sciences, Inc (Employee, Shareholder) Robert L. Gottlieb, MD, Eli Lilly (Scientific Research Study Investigator, Advisor or Review Panel member)Gilead Sciences (Scientific Research Study Investigator, Advisor or Review Panel member, Other Financial or Material Support, Gift in kind to Baylor Scott and White Research Institute for NCT03383419)GSK (Advisor or Review Panel member)Johnson and Johnson (Scientific Research Study Investigator)Kinevant (Scientific Research Study Investigator)Roche/Genentech (Scientific Research Study Investigator)

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1178. Sustained Vaccine Effectiveness Against Influenza-Associated Hospitalization in Children: Evidence from the New Vaccine Surveillance Network, 2015-2016 Through 2019-2020

Open Forum Infectious Diseases ◽

10.1093/ofid/ofab466.1371 ◽

2021 ◽

Vol 8 (Supplement_1) ◽

pp. S681-S682

Author(s):

Leila C Sahni ◽

Eric A Naioti ◽

Samantha M Olson ◽

Angela P Campbell ◽

Marian G Michaels ◽

...

Keyword(s):

Influenza Vaccine ◽

Research Study ◽

Scientific Research ◽

Panel Member ◽

Onset Date ◽

Research Support ◽

Review Panel ◽

Material Support ◽

Study Investigator ◽

Research Grant

Abstract Background Adult studies have demonstrated intra-season declines in influenza vaccine effectiveness (VE) with increasing time since vaccination; however, data in children are limited. Methods We conducted a prospective, test-negative study of children ages 6 months through 17 years hospitalized with acute respiratory illness at 7 pediatric medical centers each season in the New Vaccine Surveillance Network during the 2015-2016 through 2019-2020 influenza seasons. Cases were children with an influenza-positive molecular test; controls were influenza-negative children. Controls were matched to cases by illness onset date using 3:1 nearest neighbor matching. We estimated VE [100% x (1 – odds ratio)] by comparing the odds of receipt of ≥ 1 dose of influenza vaccine ≥ 14 days before the onset of illness that resulted in hospitalization among influenza-positive children to influenza-negative children. Changes in VE over time between vaccination date and illness onset date during each season were estimated using multivariable logistic regression models. Results Of 8,430 hospitalized children (4,781 [57%] male; median age 2.4 years), 4,653 (55%) received ≥ 1 dose of influenza vaccine. On average, 48% and 85% of children were vaccinated by the end of October and December, respectively. Influenza-positive cases (n=1,000; 12%) were less likely to be vaccinated than influenza-negative controls (39% vs. 61%, p< 0.001) and overall VE against hospitalization was 53% (95% CI: 46%, 60%). Pooling data across 5 seasons, the odds of any influenza-associated hospitalization increased 0.96% (95% CI: -0.76%, 2.71%) per week with a corresponding weekly decrease in VE of 0.45% (p=0.275). Odds of hospitalization with time since vaccination increased 0.66% (95% CI: -0.76%, 2.71%) per week in children ≤ 8 years (n=3,084) and 2.16% (95% CI: -1.68%, 6.15%) per week in children 9-17 years (n=771). No significant differences were observed by virus subtype or lineage. Figure 1. Declines in influenza VE over time from 2015-2016 through 2019-2020, overall (a) and by age group (b: ≤ 8 years; c: 9-17 years) Conclusion We observed minimal intra-season declines in VE against influenza-associated hospitalization in U.S. children. Vaccination following Advisory Committee on Immunization Practices guidelines and current timing of vaccine receipt is the best strategy for prevention of influenza-associated hospitalization in children. Disclosures Marian G. Michaels, MD, MPH, Viracor (Grant/Research Support, performs assay for research study no financial support) John V. Williams, MD, GlaxoSmithKline (Advisor or Review Panel member, Independent Data Monitoring Committee)Quidel (Advisor or Review Panel member, Scientific Advisory Board) Elizabeth P. Schlaudecker, MD, MPH, Pfizer (Grant/Research Support)Sanofi Pasteur (Advisor or Review Panel member) Natasha B. Halasa, MD, MPH, Genentech (Other Financial or Material Support, I receive an honorarium for lectures - it’s a education grant, supported by genetech)Quidel (Grant/Research Support, Other Financial or Material Support, Donation of supplies/kits)Sanofi (Grant/Research Support, Other Financial or Material Support, HAI/NAI testing) Natasha B. Halasa, MD, MPH, Genentech (Individual(s) Involved: Self): I receive an honorarium for lectures - it’s a education grant, supported by genetech, Other Financial or Material Support, Other Financial or Material Support; Sanofi (Individual(s) Involved: Self): Grant/Research Support, Research Grant or Support Janet A. Englund, MD, AstraZeneca (Consultant, Grant/Research Support)GlaxoSmithKline (Research Grant or Support)Meissa Vaccines (Consultant)Pfizer (Research Grant or Support)Sanofi Pasteur (Consultant)Teva Pharmaceuticals (Consultant) Christopher J. Harrison, MD, GSK (Grant/Research Support)Merck (Grant/Research Support)Pfizer (Grant/Research Support, Scientific Research Study Investigator, Research Grant or Support) Flor M. Munoz, MD, Biocryst (Scientific Research Study Investigator)Gilead (Scientific Research Study Investigator)Meissa (Other Financial or Material Support, DSMB)Moderna (Scientific Research Study Investigator, Other Financial or Material Support, DSMB)Pfizer (Scientific Research Study Investigator, Other Financial or Material Support, DSMB)Virometix (Other Financial or Material Support, DSMB)

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639. Time to Recurrence of Clostridioides difficile Infection (rCDI) is Rapid Following Completion of Standard of Care Antibiotics: Results from ECOSPOR-III, a Phase 3 Double-Blind, Placebo-Controlled Randomized Trial of SER-109, an Investigational Microbiome Therapeutic

Open Forum Infectious Diseases ◽

10.1093/ofid/ofab466.836 ◽

2021 ◽

Vol 8 (Supplement_1) ◽

pp. S422-S422

Author(s):

Thomas J Louie ◽

Matthew Sims ◽

Richard Nathan ◽

Steven O'Marro ◽

Princy N Kumar ◽

...

Keyword(s):

Panel Member ◽

Standard Of Care ◽

Oral Microbiome ◽

Research Support ◽

Independent Contractor ◽

Review Panel ◽

Material Support ◽

Time To Recurrence ◽

Study Population

Abstract Background The natural history of CDI recurrence after antibiotics may be helpful to understand the window of opportunity for microbiome repair. ECOSPOR III evaluated the efficacy of SER-109, an investigational microbiome therapeutic, compared to placebo with rates of rCDI as the primary endpoint. SER-109 was superior to placebo in reducing the rate of rCDI following standard-of-care antibiotics at 8 weeks (12.4% vs 39.8%, respectively; P < 0.001). Herein, we describe results from the secondary endpoint, time to recurrence, in this well-characterized study population. Methods A total of 182 C. difficile toxin+ adults with ≥ 3 CDI episodes and symptom resolution on CDI antibiotics were randomly assigned to SER-109 (4 capsules orally x 3 days) or placebo. Recurrence for this analysis was defined as ≥ 3 unformed stools/day for ≥ 48 hours, ± C. difficile stool toxin test, and an investigator decision to treat. Time to CDI recurrence was analyzed using observed data and Kaplan-Meier methods. Data were not imputed for subjects lost to follow-up or discontinued from study. Subjects who did not have a CDI recurrence were censored on the date of study completion, study discontinuation or death. Results Through 24 weeks, 11/89 (12.4%) SER-109 and 36/93 (38.7%) placebo subjects had rCDI (P < 0.001). Of all recurrence events in the study population, 16/47 (34.0%) were observed within 1 week; 30/47 (63.8%) within 2 weeks; and 34/47 (72.3%) within 4 weeks after randomization, highlighting the rapid onset of recurrence. On the other hand, 12/47 (25.5%) recurrences occurred between 4 and 12 weeks, highlighting late onset of recurrence in a subset of patients (Table). Significantly lower rates of recurrence in patients on SER-109 compared to placebo was maintained throughout the 24-week follow-up (Figure). Time of rCDI K-M Plot Conclusion SER-109, an investigational oral microbiome therapeutic, maintained significant efficacy in reducing rCDI vs placebo through 24 weeks. About two-thirds of all recurrences occurred within 14 days of antibiotic completion highlighting the need for rapid repair of the disrupted microbiome. However, the significant number of late recurrences in the placebo arm also highlights that rCDI trials limited to 4 weeks of follow-up after treatment completion may underestimate recurrences. Disclosures Thomas J. Louie, MD, Artugen (Advisor or Review Panel member)Crestone (Consultant, Grant/Research Support)Da Volterra (Advisor or Review Panel member)Finch Therapeutics (Grant/Research Support, Advisor or Review Panel member)MGB Biopharma (Grant/Research Support, Advisor or Review Panel member)Rebiotix (Consultant, Grant/Research Support)Seres Therapeutics (Consultant, Grant/Research Support)Summit PLC (Grant/Research Support)Vedanta (Grant/Research Support, Advisor or Review Panel member) Matthew Sims, MD, PhD, Astra Zeneca (Independent Contractor)Diasorin Molecular (Independent Contractor)Epigenomics Inc (Independent Contractor)Finch (Independent Contractor)Genentech (Independent Contractor)Janssen Pharmaceuticals NV (Independent Contractor)Kinevant Sciences gmBH (Independent Contractor)Leonard-Meron Biosciences (Independent Contractor)Merck and Co (Independent Contractor)OpGen (Independent Contractor)Prenosis (Independent Contractor)Regeneron Pharmaceuticals Inc (Independent Contractor)Seres Therapeutics Inc (Independent Contractor)Shire (Independent Contractor)Summit Therapeutics (Independent Contractor) Richard Nathan, DO, none (Other Financial or Material Support, I am PI on several clinical trials. If you need that information, I would be happy to supply it.) Princy N. Kumar, MD, AMGEN (Other Financial or Material Support, Honoraria)Eli Lilly (Grant/Research Support)Gilead (Grant/Research Support, Shareholder, Other Financial or Material Support, Honoraria)GSK (Grant/Research Support, Shareholder, Other Financial or Material Support, Honoraria)Merck & Co., Inc. (Grant/Research Support, Shareholder, Other Financial or Material Support, Honoraria) Elaine E. Wang, MD, Seres Therapeutics (Employee) Elaine E. Wang, MD, Seres Therapeutics (Employee, Shareholder) Robert Stevens, PharmD, Seres Therapeutics (Employee, Shareholder) Kelly Brady, MS, Seres Therapeutics (Employee, Shareholder) Barbara McGovern, MD, Seres Therapeutics (Employee, Shareholder) Lisa von Moltke, MD, Seres Therapeutics (Employee, Shareholder)

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1071. Social Determinants of health (SDOH) among PWID living with HCV

Open Forum Infectious Diseases ◽

10.1093/ofid/ofaa439.1257 ◽

2020 ◽

Vol 7 (Supplement_1) ◽

pp. S563-S564

Author(s):

Luis Gonzalez Corro ◽

Nataly Rios Gutierrez ◽

Chinazo O Cunningham ◽

Alain H Litwin ◽

Brianna L Norton ◽

...

Keyword(s):

Social Determinants Of Health ◽

Social Determinants ◽

Stock Options ◽

Treatment Initiation ◽

Panel Member ◽

Determinants Of Health ◽

General Electric ◽

Hcv Treatment ◽

Review Panel ◽

Material Support

Abstract Background Though people who inject drugs (PWID) represent the overwhelming majority of those living with HCV, most have not been treated. Many HCV+ PWID represent the most marginalized persons in society, often experiencing poverty and poor access to care. We set out to determine the social determinants of health (SDOH) among a population of HCV+ PWID and determine if poor SDOH were related to reduced HCV treatment uptake. Methods The HCV-GET UP study was a randomized controlled trial to assess the effectiveness of an HCV group evaluation intervention vs. individual HCV treatment among PWID within a primary care clinic in the Bronx, NY. HCV treatment was provided according to national guidelines.. Here, we include all patient characteristics and baseline social determinants of health (SDOH), obtained through questionnaires using Audio Computer-Assisted Self-Interview (ACASI) technology. We performed bivariate analyses between treatment initiation and the various factors of the SDOH using chi square tests. Results The majority of the 84 participants enrolled were black (35%) or Hispanic (60%) males (77%), aged 51 (SD11). The majority are on NY State Medicaid insurance (68%), indicating that their income is less than 138% of the Federal Poverty Level. 42% of participants report running out of money for basic needs on a daily or weekly basis, 69% receive food stamps, and 23% are homeless. Nearly half (45%) of participants have less than a high school education, 57% have ever been incarcerated, 48% report not having transportation to get to a medical appointment, and 25% do not trust doctors. A total of 57% of participants initiated HCV treatment, and no factors of SDOH were associated with treatment initiation. Conclusion We found that HCV+ PWID have extremely poor SDOH. Despite this, over half of participants initiated HCV treatment, indicating participants willingness to receive HCV treatment, and resilience in overcoming SDOH. Poor SDOH, such as homelessness, should not be a reason to delay HCV treatment in this population; however, we risk severely muting the health benefits of HCV cure in this population, if we do not address the underlying SDOH that will certainly lead to poor health outcomes, and early death. Disclosures Chinazo O. Cunningham, MD, MPH, General Electric Health (Other Financial or Material Support, My husband is currently employed by General Electric Health and receives stock and stock options.)Quest Diagnostics (Other Financial or Material Support, My husband was previously employed by Quest Diagnostics and received stocks and stock options.) Alain H. Litwin, MD, MPH, MS, Gilead (Advisor or Review Panel member)Merck (Advisor or Review Panel member)

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1291. Safety of Isavuconazole Compared with Voriconazole as Primary Antifungal Prophylaxis in Allogeneic Hematopoietic Cell Transplant Recipients

Open Forum Infectious Diseases ◽

10.1093/ofid/ofaa439.1474 ◽

2020 ◽

Vol 7 (Supplement_1) ◽

pp. S660-S661

Author(s):

Yael Bogler ◽

Anat Stern ◽

Yiqi Su ◽

Yeon Joo Lee ◽

Susan K Seo ◽

...

Keyword(s):

Cumulative Incidence ◽

Panel Member ◽

Antifungal Prophylaxis ◽

Cell Transplant ◽

Hematopoietic Cell Transplant ◽

Review Panel ◽

Material Support ◽

End Of Treatment ◽

All Cause Mortality ◽

Research Grant

Abstract Background Voriconazole (VCZ) is used as mold active primary antifungal prophylaxis (AFP) after allogenic hematopoietic cell transplant (HCT) but is frequently discontinued due to adverse events (AE), variable pharmacokinetics and drug-drug interactions. Limited data exists on the safety of Isavuconazole (ICZ) as AFP in HCT patients (pts). The study objectives were to compare 1) rates of AFP premature discontinuation (d/c), 2) changes in transaminases values from start to end of treatment (EOT) and 3) rates of invasive fungal infections (IFI) and all-cause mortality by Day (D) +180 post HCT between VCZ and ICZ AFP. Methods This is a matched cohort analysis of 95 pts enrolled in a clinical trial of ICZ AFP from 7/1/2017-10/31/2018 (ICZ-cohort) and 210 pts who received VCZ AFP standard of care between 9/1/2014-12/31/2015 at MSKCC (VCZ-cohort). The cohorts were matched using propensity scores (Table 1). AFP was administered for 75-100 days per institutional guidelines. Premature d/c of AFP was defined as d/c for IFI or AE by D +100 post HCT or interruption of >14 days for any reason. The cumulative incidence function and log rank test were used to compare groups. Mean transaminase values were compared using paired T-tests. Table 1. Baseline characteristics Results The median (Interquartile range) duration of AFP was 94 (87-100) days and 76 (23-94) days in ICZ and VCZ cohorts respectively (p< 0.0001). Premature d/c occurred in 14/95 (14.7%) of ICZ and 92/210 (43.8%) of VCZ cohorts (p< 0.0001) (Figure 1). The most common cause for AFP d/c was hepatotoxicity: ICZ-cohort: 5/95 (5.26%) vs VCZ-cohort: 48/210 (22.8%). Transaminases at EOT and up to 14 days were increased in VCZ but not ICZ cohort (Figure 2). IFI occurred in 3.15% (3/95) in ICZ-cohort and 2.85% (6/210) in VCZ-cohort (p=0.88) (Figure 3). In ICZ-cohort IFI included 3 Candida bloodstream infections (BSI) occurring on ICZ AFP. In VCZ-cohort IFI included one Candida BSI after VCZ d/c, and 5 probable mold infections; 3/5 with serum galactomannan > 0.5 and 2 with beta-D-glucan > 80. IFI occurred on VCZ in 1 pt and after VCZ premature d/c in 5 pts. All-cause mortality was 6.31% (6/95) in ICZ-cohort and 2.85% (6/210) in VCZ-cohort (p=0.089). Figure 1. Cumulative incidence of premature discontinuation of AFP by D+100 Figure 2. Transaminases at baseline,end of treatment (EOT), EOT +7 days and EOT +14 days in ICZ- and VCZ cohorts Figure 3. Cumulative incidence of IFI by day +180 Conclusion There was less premature discontinuation and hepatotoxicity with ICZ AFP, but no increase in IFI or death compared to VCZ AFP in allogeneic HCT pts. Disclosures Yeon Joo Lee, MD, MPH, Ansun BioPharma (Scientific Research Study Investigator)Astellas Pharma (Scientific Research Study Investigator) Sergio Giralt, MD, Amgen (Advisor or Review Panel member, Research Grant or Support, Served an advisory board for Amgen, Actinuum, Celgene, Johnson & Johnson, JAZZ pharmaceutical, Takeda, Novartis, KITE, and Spectrum pharma and has received research support from Amgen, Actinuum, Celgene, Johnson & Johnson, and Miltenyi, Takeda.) Miguel-Angel Perales, MD, Abbvie (Other Financial or Material Support, Honoraria from Abbvie, Bellicum, Celgene, Bristol-Myers Squibb, Incyte, Merck, Novartis, Nektar Therapeutics, Omeros, and Takeda.)ASTCT (Other Financial or Material Support, Volunteer member of the Board of Directors of American Society for Transplantation and Cellular Therapy (ASTCT), Be The Match (National Marrow Donor Program, NMDP), and the CIBMTR Cellular Immunotherapy Data Resource (CIDR) Committee)Cidara Therapeutics (Advisor or Review Panel member, Other Financial or Material Support, Serve on DSMBs for Cidara Therapeutics, Servier and Medigene, and the scientific advisory boards of MolMed and NexImmune.)Kite/Gilead (Research Grant or Support, Other Financial or Material Support, Received research support for clinical trials from Incyte, Kite/Gilead and Miltenyi Biotec.) Dionysios Neofytos, MD, Basilea (Advisor or Review Panel member)Gilead (Advisor or Review Panel member)MSD (Advisor or Review Panel member, Research Grant or Support)Pfizer (Advisor or Review Panel member, Research Grant or Support) Genovefa Papanicolaou, MD, Chimerix (Research Grant or Support)Merck&Co (Research Grant or Support, Investigator and received funding and consulting fees from Merck, Chimerix, Shire and Astellas)

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127. Development of a Kinetic ELISA (kELISA) and Reactive B-cell Frequency (RBF) Assay to Detect Respiratory Syncytial Virus (RSV) Pre-Fusion F Protein-Specific Immune Responses in Infants

Open Forum Infectious Diseases ◽

10.1093/ofid/ofab466.127 ◽

2021 ◽

Vol 8 (Supplement_1) ◽

pp. S77-S78

Author(s):

Stephanie L Rolsma ◽

Sandy M Yoder ◽

Rachel S Nargi ◽

Eric Brady ◽

Natalia Jimenez-Truque ◽

...

Keyword(s):

Panel Member ◽

Multiple Time ◽

Research Support ◽

Review Panel ◽

Cell Frequency ◽

Material Support ◽

F Protein ◽

Multiple Time Points ◽

Research Grant

Abstract Background RSV is a major cause of pediatric respiratory disease. Antibodies to the prefusion conformation of the RSV fusion (pre-F) protein are needed for virus neutralization. Methods We measured RSV-specific responses in two groups of children < 3 years of age; subjects with laboratory-confirmed RSV (RSV-infected) or infants born in the period May to September and enrolled prior to their first RSV season (RSV-uninfected). RSV-infected infants had blood samples obtained at 1, 6, 9, and 12 months after infection. RSV-uninfected infants had blood samples obtained at enrollment, at the end of their first RSV season, and 6 months later. A kELISA to measure RSV pre-F-specific antibodies and an RBF assay to identify RSV F-specific B cells were developed. Results 102 subjects were enrolled; 11 were excluded due to missed visits or withdrawal. Of the 65 subjects in the RSV-uninfected group, all were kELISA positive at enrollment, consistent with maternal antibody transfer. 53 subjects had sufficient samples for analysis at multiple time points; 29 became seronegative and 24 remained seropositive. In the seronegative group, the kELISA value decreased rapidly to < 0.25 by 6 months after the RSV season in 27/29 (93%), (Figure 1a). In the persistently seropositive group, all 24 subjects maintained a positive kELISA value, with some developing higher values over time, consistent with asymptomatic infection (Figure 1b). An RBF assay was used to determine whether antibodies were due to persistent maternal antibodies or endogenous production (Figure 2). In the seronegative group, 24/29 (80%) had a negative RBF; in the seropositive group, 23/24 (96%) had a positive RBF during follow-up. There were 26 subjects in the RSV-infected group; 22 had sufficient samples for analysis at multiple time points. All were seropositive by kELISA at one month post-infection with variable kELISA values during follow-up (Figure 3). 17/22 (77%) had a positive RBF, although 4 of the subjects without a positive RBF had indeterminate results at ≥ 1 visit. Figure 1. kELISA values of baseline RSV-negative subjects, by subject age at time of sample. Panel A: Subjects classified as seronegative (n=29). Panel B: Subjects without known RSV classified as persistently seropositive (n=24). Figure 2. Reactive B-cell frequency assay. The first step in the RBF assay is growth of Lymphoblastoid Cell Lines (LCLs), as shown over days 1-3 (Left-Day 1, Middle-Day 2, Right-Day 3, magnification 200X). The cells circled in the figure indicate a single LCL’s growth over time. LCL supernatant is used to detect RSV F-protein specific antibodies using traditional ELISA, resulting in a positive, indeterminate, or negative result. Indeterminate results occur due to a lack of cell viability and/or failure to form LCLs, resulting in failure to exceed an optical density of 5x background. Figure 3. kELISA values of RSV-infected subjects, by subject age at time of sample. First sample was obtained at approximately one month after laboratory-confirmed RSV. Conclusion Assays measuring F-specific immune responses in infants will be critical for RSV vaccine development. A kELISA targeting RSV pre-F epitopes, with an RBF assay targeting RSV F-specific B cells, may allow discrimination for maternal and infant-derived antibodies. Disclosures Isaac Thomsen, MD, MSCI, Horizon Therapeutics (Individual(s) Involved: Self): Consultant James E. Crowe, Jr., MD, Astra Zeneca (Grant/Research Support)IDBiologics (Board Member, Grant/Research Support, Shareholder)Luna Biologics (Consultant)Meissa Vaccines (Advisor or Review Panel member)Takeda Vaccines (Grant/Research Support) Kathryn M. Edwards, MD, Bionet (Individual(s) Involved: Self): Consultant; CDC (Individual(s) Involved: Self): Research Grant or Support; IBM (Individual(s) Involved: Self): Consultant; Merck (Individual(s) Involved: Self): member DSMC, Other Financial or Material Support; Moderna (Individual(s) Involved: Self): member DSMC, Other Financial or Material Support; NIH (Individual(s) Involved: Self): Research Grant or Support; Pfizer (Individual(s) Involved: Self): member DSMC, Other Financial or Material Support; Roche (Individual(s) Involved: Self): member of DSMB, Other Financial or Material Support; Sanofi Pasteur (Individual(s) Involved: Self): member DSMB, Other Financial or Material Support; Sequiras (Individual(s) Involved: Self): Member DSMB, Other Financial or Material Support; X4 Pharmaceuticals (Individual(s) Involved: Self): Consultant Buddy Creech, MD, MPH, Altimmune (Consultant)Astellas (Other Financial or Material Support, Data and Safety Monitoring Committee)Diotheris (Consultant)GSK (Consultant)Horizon (Consultant)Merck (Scientific Research Study Investigator)Premier Healthcare (Advisor or Review Panel member)Vir (Consultant)

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154. Circulation of Rhinovirus/Enterovirus Respiratory Infections in Children During 2020-21 in the United States

Open Forum Infectious Diseases ◽

10.1093/ofid/ofab466.154 ◽

2021 ◽

Vol 8 (Supplement_1) ◽

pp. S93-S93

Author(s):

Danielle A Rankin ◽

Andrew Speaker ◽

Ariana Perez ◽

Zaid Haddadin ◽

Varvara Probst ◽

...

Keyword(s):

United States ◽

Panel Member ◽

Respiratory Viruses ◽

Research Support ◽

Review Panel ◽

Surveillance Network ◽

Material Support ◽

Percent Positivity ◽

Vaccine Surveillance ◽

Research Grant

Abstract Background Sharp declines in influenza and respiratory syncytial virus (RSV) circulation across the U.S. have been described during the pandemic in temporal association with community mitigation for control of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). We aimed to determine relative frequencies of rhinovirus/enterovirus (RV/EV) and other respiratory viruses in children presenting to emergency departments or hospitalized with acute respiratory illness (ARI) prior to and during the COVID-19 pandemic. Methods We conducted a multi-center active prospective ARI surveillance study in children as part of the New Vaccine Surveillance Network (NVSN) from December 2016 through January 2021. Molecular testing for RV/EV, RSV, influenza, and other respiratory viruses [i.e., human metapneumovirus, parainfluenza virus (Types 1-4), and adenovirus] were performed on specimens collected from children enrolled children. Cumulative percent positivity of each virus type during March 2020–January 2021 was compared from March-January in the prior seasons (2017-2018, 2018-2019, 2019-2020) using Pearson’s chi-squared. Data are provisional. Results Among 69,403 eligible children, 37,676 (54%) were enrolled and tested for respiratory viruses. The number of both eligible and enrolled children declined in early 2020 (Figure 1), but 4,691 children (52% of eligible) were enrolled and tested during March 2020-January 2021. From March 2020-January 2021, the overall percentage of enrolled children with respiratory testing who had detectable RV/EV was similar compared to the same time period in 2017-2018 and 2019-2020 (Figure 1, Table 1). In contrast, the percent positivity of RSV, influenza, and other respiratory viruses combined declined compared to prior years, (p< 0.001, Figure 1, Table 1). Figure 1. Percentage of Viral Detection Among Enrolled Children Who Received Respiratory Testing, New Vaccine Surveillance Network (NVSN), United States, December 2016 – January 2021 Table 1. Percent of Respiratory Viruses Circulating in March 2020– January 2021, compared to March-January in Prior Years, New Vaccine Surveillance Network (NVSN), United States, March 2017 – January 2021 Conclusion During 2020, RV/EV continued to circulate among children receiving care for ARI despite abrupt declines in other respiratory viruses within this population. These findings warrant further studies to understand virologic, behavioral, biological, and/or environmental factors associated with this continued RV/EV circulation. Disclosures Jennifer E. Schuster, MD, Merck, Sharpe, and Dohme (Individual(s) Involved: Self): Grant/Research Support Marian G. Michaels, MD, MPH, Viracor (Grant/Research Support, performs assay for research study no financial support) John V. Williams, MD, GlaxoSmithKline (Advisor or Review Panel member, Independent Data Monitoring Committee)Quidel (Advisor or Review Panel member, Scientific Advisory Board) Elizabeth P. Schlaudecker, MD, MPH, Pfizer (Grant/Research Support)Sanofi Pasteur (Advisor or Review Panel member) Christopher J. Harrison, MD, GSK (Grant/Research Support)Merck (Grant/Research Support)Pfizer (Grant/Research Support, Scientific Research Study Investigator, Research Grant or Support) Janet A. Englund, MD, AstraZeneca (Consultant, Grant/Research Support)GlaxoSmithKline (Research Grant or Support)Meissa Vaccines (Consultant)Pfizer (Research Grant or Support)Sanofi Pasteur (Consultant)Teva Pharmaceuticals (Consultant) Claire Midgley, PhD, Nothing to disclose Natasha B. Halasa, MD, MPH, Genentech (Other Financial or Material Support, I receive an honorarium for lectures - it’s a education grant, supported by genetech)Quidel (Grant/Research Support, Other Financial or Material Support, Donation of supplies/kits)Sanofi (Grant/Research Support, Other Financial or Material Support, HAI/NAI testing) Natasha B. Halasa, MD, MPH, Genentech (Individual(s) Involved: Self): I receive an honorarium for lectures - it’s a education grant, supported by genetech, Other Financial or Material Support, Other Financial or Material Support; Sanofi (Individual(s) Involved: Self): Grant/Research Support, Research Grant or Support

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