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Earley, Michelle

Mayo Clinic

George Washington University

Citations 5

Accessory Genomes Drive Independent Spread of Carbapenem-Resistant Klebsiella pneumoniae Clonal Groups 258 and 307 in Houston, TX
Shropshire, William C. , Dinh, An Q , Earley, Michelle, Komarow, Lauren , Panesso, Diana , Rydell, Kirsten, Gómez-Villegas, Sara I, Miao, Hongyu , Hill, Carol , Chen, Liang , Patel, Robin , Abbo, Lilian M. , Cober, Eric , Revolinski, Sara , Luterbach, Courtney , Chambers, Henry F. , Fowler, Vance G. , Shelburne, Samuel A. , Kreiswirth, Barry N. , Hanson, Blake , Arias, César A. , Revolinski, Sara , Bonomo, Robert A , Shelburne, Samuel A , Kreiswirth, Barry N , van Duin, David , Hanson, Blake M , Chen, Liang , Patel, Robin , Abbo, Lilian M , Fries, Bettina C. , Fowler, Vance G. , Bonomo, Robert A. , Arias, César A.

mBio | March 31, 2022 | Volume: 13 | Issue: 2 | Pages: No page available

10.1128/mbio.00497-22 Get It

The prevalence of carbapenem-resistant Klebsiella pneumoniae (CR Kp ) infections in nosocomial settings remains a public health challenge. High-risk clones such as clonal group 258 (CG258) are particularly concerning due to their association with bla KPC carriage, which can severely complicate antimicrobial treatments.
158. Intra- and Inter-hospital Epidemiology of Carbapenem-resistant klebsiella Pneumoniae in US Hospitals
Luterbach, Courtney , Hanson, Blake , Earley, Michelle, Komarow, Lauren , Weston, Gregory , Cober, Eric , Diaz, Julia Garcia, Kaye, Keith S. , Gallagher, Jason C , Arias, César A. , Kreiswirth, Barry N. , Chen, Liang , Huskins, W. Charles , Bonomo, Robert A. , Arias, César A. , Kreiswirth, Barry N , van Duin, David

Open Forum Infectious Diseases | January 2, 2021 | Volume: 7 | Issue: Supplement_1 | Pages: S208-S209

10.1093/ofid/ofaa439.468 Get It

Abstract Background Carbapenem-resistant Enterobacterales (CRE) and specifically Klebsiella pneumoniae (CRKp) are a global threat. CRE rapidly spreading in a healthcare network may infect a distinct patient cohort or have higher virulence. We determined the impact of cluster assignment of CRKp on transmission dynamics and clinical outcomes. Methods CRACKLE-2 is a multi-site, prospective, observational cohort study of hospitalized patients with a clinical CRE culture from any anatomic site. We analyzed 351 patients enrolled 4/30/2016–8/31/2017 in 42 US hospitals with clonal group 258 CRKp. Static clusters were set as ≤ 21 core single nucleotide polymorphisms (SNPs), identified by Snippy, and sharing a recent common ancestor, using a maximum likelihood phylogeny (RAxML v8.2.4). Dynamic clusters were set as > 80% probability of being within 3 transmissions by the R program transcluster (λ = 4, β = 1.6). Clinical outcome was assessed by desirability of outcome ranking with best outcome as alive without events and worst outcome as death. Events were no clinical response, unsuccessful discharge, and adverse events. We compared patients in and out of clusters. For patients in clusters, we also compared intra- vs inter-hospital clusters. Results In total, there were 49 static (median: 5, IQR: 2, 8) and 45 dynamic clusters (median: 5, IQR: 2, 20). For static clusters, 176 patients (50%) were in clusters with 82 (47%) patients in intra-hospital clusters. A higher proportion of patients in clusters, vs not in clusters, had a CRKp culture > 3 days from admission (P = 0.037). More patients in inter-hospital, vs intra-hospital, clusters had diabetes (P = 0.02). For dynamic clusters, 179 patients (51%) were in clusters with 69 (39%) patients in intra-hospital clusters. A lower proportion of patients in clusters, vs not in clusters, had CRKp isolated from urine (P = 0.04). More patients in inter-hospital, vs intra-hospital, clusters had a CRKp culture 3 days from admission (P = 0.04). Clinical outcomes were the same for patients in clusters vs not in clusters for static and dynamic clusters. Conclusion This analysis shows that clinical outcomes are independent of clustering assignment. Static clustering better represented nosocomial spread, based on a higher proportion of patients in clusters having a later CRKp culture. Disclosures Gregory Weston, MD MSCR, Allergan (Grant/Research Support) W. Charles Huskins, MD, MSc, ADMA Biologics (Consultant)Pfizer, Inc (Consultant) Jason C. Gallagher, PharmD, Allergan (Consultant)Astellas (Consultant)Merck (Consultant)Nabriva (Consultant)Qpex (Consultant)scPharmaceuticals (Consultant)Shionogi (Consultant)Spero (Consultant)Tetraphase (Consultant) Robert A. Bonomo, MD, Entasis, Merck, Venatorx (Research Grant or Support) Cesar A. Arias, MD, MSc, PhD, FIDSA, Entasis Therapeutics (Scientific Research Study Investigator)MeMed (Scientific Research Study Investigator)Merck (Grant/Research Support) David van Duin, MD, PhD, Achaogen (Advisor or Review Panel member)Allergan (Advisor or Review Panel member)Astellas (Advisor or Review Panel member)MedImmune (Advisor or Review Panel member)Merck (Advisor or Review Panel member)NeuMedicine (Advisor or Review Panel member)Qpex (Advisor or Review Panel member)Roche (Advisor or Review Panel member)Sanofi-Pasteur (Advisor or Review Panel member)Shionogi (Advisor or Review Panel member)T2 Biosystems (Advisor or Review Panel member)Tetraphase (Advisor or Review Panel member)
Randomized Trial Evaluating Clinical Impact of RAPid IDentification and Susceptibility Testing for Gram-negative Bacteremia: RAPIDS-GN
Banerjee, Ritu , Komarow, Lauren , Virk, Abinash, Rajapakse, Nipunie , Dylla, Brenda L., Earley, Michelle, Lok, Judith J. , Kohner, Peggy C., Ihde, Sherry M., Cole, Nicolynn C., Hines, Lisa B., Reed, Katelyn A. , Chandrasekaran, Sukantha , Kanatani, Meganne, Curello, Jennifer, Arias, Rubi, Swearingen, William, Doernberg, Sarah B. , Patel, Robin , Dylla, Brenda, Kohner, Peggy, Ihde, Sherry, Cole, Nicolynn, Hines, Lisa, Reed, Katelyn, Patel, Robin , Virk, Abinash , Schuetz, Audrey N. , Garner, Omai B. , Maurice, Annabelle de St.

Clinical Infectious Diseases | April 30, 2020 | Volume: 73 | Issue: 1 | Pages: e39-e46

10.1093/cid/ciaa528 Get It

Abstract Background Rapid blood culture diagnostics are of unclear benefit for patients with gram-negative bacilli (GNB) bloodstream infections (BSIs). We conducted a multicenter, randomized, controlled trial comparing outcomes of patients with GNB BSIs who had blood culture testing with standard-of-care (SOC) culture and antimicrobial susceptibility testing (AST) vs rapid organism identification (ID) and phenotypic AST using the Accelerate Pheno System (RAPID). Methods Patients with positive blood cultures with Gram stains showing GNB were randomized to SOC testing with antimicrobial stewardship (AS) review or RAPID with AS. The primary outcome was time to first antibiotic modification within 72 hours of randomization. Results Of 500 randomized patients, 448 were included (226 SOC, 222 RAPID). Mean (standard deviation) time to results was faster for RAPID than SOC for organism ID (2.7 [1.2] vs 11.7 [10.5] hours; P < .001) and AST (13.5 [56] vs 44.9 [12.1] hours; P < .001). Median (interquartile range [IQR]) time to first antibiotic modification was faster in the RAPID arm vs the SOC arm for overall antibiotics (8.6 [2.6–27.6] vs 14.9 [3.3–41.1] hours; P = .02) and gram-negative antibiotics (17.3 [4.9–72] vs 42.1 [10.1–72] hours; P < .001). Median (IQR) time to antibiotic escalation was faster in the RAPID arm vs the SOC arm for antimicrobial-resistant BSIs (18.4 [5.8–72] vs 61.7 [30.4–72] hours; P = .01). There were no differences between the arms in patient outcomes. Conclusions Rapid organism ID and phenotypic AST led to faster changes in antibiotic therapy for gram-negative BSIs. Clinical Trials Registration NCT03218397.
640. Randomized Clinical Trial Evaluating Clinical Impact of RAPid IDentification and Antimicrobial Susceptibility Testing for Gram-Negative Bacteremia (RAPIDS-GN)
Banerjee, Ritu , Komarow, Lauren , Virk, Abinash , Rajapakse, Nipunie , Dylla, Brenda L., Earley, Michelle, Lok, Judith J. , Kohner, Peggy C., Ihde, Sherry M., Cole, Nicolynn C., Hines, Lisa B., Reed, Katelyn A. , Chandrasekaran, Sukantha , Maurice, Annabelle M de St., Kanatani, Meganne, Curello, Jennifer, Arias, Rubi, Swearingen, William, Doernberg, Sarah B. , Schuetz, Audrey N. , Garner, Omai B. , Maurice, Annabelle de St. , Patel, Robin

Open Forum Infectious Diseases | October 23, 2019 | Volume: 6 | Issue: Supplement_2 | Pages: S296-S297

10.1093/ofid/ofz360.708 Get It

Abstract Background Rapid blood culture diagnostics increase cost and have unclear benefit for patients with Gram-negative bacilli (GNB) bloodstream infections (BSIs). We conducted a multicenter, prospective randomized controlled trial (RAPIDS-GN), comparing outcomes of patients with GNB BSI who had blood culture testing with standard of care (SOC) culture and antibiotic susceptibility testing (AST) vs. rapid organism identification (ID) and phenotypic AST using the Accelerate Pheno System (AXDX). Methods Subjects with blood culture Gram stain showing GNB were randomized to receive SOC testing with antimicrobial stewardship review (AS) or AXDX plus SOC testing with AS, at two academic medical centers between October 2017 and October 2018. SOC testing included rapid MALDI-TOF mass spectrometry ID and agar dilution or broth microdilution AST. In a modified intention to treat analysis, subjects were excluded if: Gram stain was erroneous, culture was positive during off-hours, blood culture in the prior week had GNB, they were deceased/on comfort care, or admitted to a nonparticipating hospital. The primary outcome was time to first antibiotic modification within 72 hours after randomization. Subjects without antibiotic modifications were assigned a time of 72 hours. No censoring was observed. T-tests and Wilcoxon rank-sum tests were used for statistical analyses. Results Of 500 randomized subjects, 448 were included (226 SOC, 222 AXDX). Groups did not differ in baseline characteristics (Table 1). Median (IQR) hours to first antibiotic modification was faster in the AXDX vs. SOC group [8.6 (2.6, 27.6) vs. 14.9 (3.3, 41.1)], P = 0.02 (Figure 1). Median (IQR) hours to first Gram-negative antibiotic modification (including escalation and de-escalation) was faster in the AXDX than SOC group [17.4 (4.9, 72) vs. 42.1 (10.1, 72)], P < 0.001 (Figure 2). Groups did not differ in clinical outcomes (Table 2). Mean (S.D.) time to results was faster for AXDX than SOC for organism ID [2.7 (1.2) h vs. 15.6 (20.3) h, P < 0.001] and AST [13 (55.7) h vs. 54.6 (45.5) h, P < 0.001]. Conclusion In the largest trial to evaluate the clinical impact of a blood culture diagnostic for GNB BSI, we found that rapid organism ID and phenotypic AST led to faster changes in antibiotic therapy for Gram-negative bacteremia. Disclosures Ritu Banerjee, MD, PhD, Accelerate Diagnostics: Grant/Research Support; BioFire: Research Grant; Biomerieux: Research Grant; Roche: Research Grant Robin Patel, MD, ASM and IDSA: Other Financial or Material Support, Travel reimbursement, editor’s stipends; CD Diagnostics, Merck, Hutchison Biofilm Medical Solutions, Accelerate Diagnostics, ContraFect, TenNor Therapeutics Limited, Shionogi: Grant/Research Support; Curetis, Specific Technologies, NextGen Diagnostics, PathoQuest, Qvella: Consultant; NBME, Up-to-Date, the Infectious Diseases Board Review Course: Honorarium recipient, Other Financial or Material Support; Patent on Bordetella pertussis/parapertussis PCR issued, a patent on a device/method for sonication with royalties paid by Samsung to Mayo Clinic, and a patent on an anti-biofilm substance issued: Other Financial or Material Support, Patents.