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Ihde, Sherry M.

Mayo Clinic

Mayo Clinic

Citations 7

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.
Discrepancies Between Microbial Detection and Identification Using the Blood Culture Identification FilmArray Panel Assay and Standard Subculture of Positive Blood Culture Bottles
Ramanan, Poornima , Gebrehiwot, Senait, Rucinski, Stefanea L., Dylla, Brenda L., Wengenack, Nancy L. , Ihde, Sherry M., Hughes, John , Patel, Robin

Open Forum Infectious Diseases | February 3, 2017 | Volume: 3 | Issue: suppl_1 | Pages: No page available

10.1093/ofid/ofw172.55 Get It

Differential Antimicrobial Susceptibilities of Granulicatella adiacens and Abiotrophia defectiva
Mushtaq, Ammara , Greenwood‐Quaintance, Kerryl E. , Cole, Nicolynn C., Kohner, Peggy C., Ihde, Sherry M., Strand, Gregory J. , Harper, Lance W., Virk, Abinash, Patel, Robin , Virk, Abinash , Patel, Robin

Antimicrobial Agents and Chemotherapy | May 24, 2016 | Volume: 60 | Issue: 8 | Pages: 5036-5039

10.1128/aac.00485-16 Get It

ABSTRACT MICs of 25 Abiotrophia defectiva and 109 Granulicatella adiacens isolates were determined by broth microdilution. Using CLSI breakpoints, the susceptibilities of A. defectiva and G. adiacens isolates were, respectively, 24% and 34% to penicillin, 92% and 22% to ceftriaxone, 48% and 3% to cefepime, 72% and 87% to meropenem, 92% and 10% to cefotaxime, 100% and 97% to levofloxacin, 92% and 80% to clindamycin, and 24% and 50% to erythromycin. All isolates were susceptible to vancomycin. In the penicillin-susceptible subgroup, all A. defectiva isolates were susceptible to ceftriaxone; however, 62% of G. adiacens isolates were ceftriaxone nonsusceptible.
Identification of Non-diphtheriae Corynebacterium by Use of Matrix-Assisted Laser Desorption Ionization–Time of Flight Mass Spectrometry
Alatoom, Adnan, Cazanave, Charles , Cunningham, Scott A. , Ihde, Sherry M., Patel, Robin , Patel, Robin , Cunningham, Scott A

Journal of Clinical Microbiology | November 11, 2011 | Volume: 50 | Issue: 1 | Pages: 160-163

10.1128/jcm.05889-11 Get It

ABSTRACTWe evaluated the Bruker Biotyper matrix-assisted laser desorption ionization–time of flight (MALDI-TOF) mass spectrometry for identification of 92 clinical isolates ofCorynebacteriumspecies in comparison to identification usingrpoBor 16S rRNA gene sequencing. Eighty isolates (87%) yielded a score of ≥1.700, and all of these were correctly identified to the species level with the exception ofCorynebacterium aurimucosumbeing misidentified as the closely relatedCorynebacterium minutissimum.
Comparison of Direct Colony Method versus Extraction Method for Identification of Gram-Positive Cocci by Use of Bruker Biotyper Matrix-Assisted Laser Desorption Ionization–Time of Flight Mass Spectrometry
Alatoom, Adnan, Cunningham, Scott A. , Ihde, Sherry M., Mandrekar, Jayawant N. , Patel, Robin , Patel, Robin , Cunningham, Scott A

Journal of Clinical Microbiology | May 26, 2011 | Volume: 49 | Issue: 8 | Pages: 2868-2873

10.1128/jcm.00506-11 Get It

ABSTRACT We evaluated Bruker Biotyper (version 2.0) matrix-assisted laser desorption ionization–time of flight (MALDI-TOF) mass spectrometry (MS) for the identification of 305 clinical isolates of staphylococci, streptococci, and related genera by comparing direct colony testing with preparatory extraction. Isolates were previously identified by use of phenotypic testing and/or 16S rRNA gene sequencing. Manufacturer-specified score cutoffs for genus- and species-level identification were used. After excluding 7 isolates not present in the Biotyper library, the Biotyper correctly identified 284 (95%) and 207 (69%) isolates to the genus and species levels, respectively, using extraction. By using direct colony testing, the Biotyper identified 168 (56%) and 60 (20%) isolates to the genus and species levels, respectively. Overall, more isolates were identified to the genus and species levels with preparatory extraction than with direct colony testing ( P < 0.0001). The analysis was repeated after dividing the isolates into two subgroups, staphylococci, streptococci, and enterococci ( n = 217) and “related genera” ( n = 81). For the former subgroup, the extraction method resulted in the identification of 213 (98%) and 171 (79%) isolates to the genus and species levels, respectively, whereas the direct colony method identified 136 (63%) and 56 (26%) isolates to the genus and species levels, respectively. In contrast, for the subgroup of related genera, the extraction method identified 71 (88%) and 36 (44%) isolates to the genus and species levels, respectively, while the direct colony method identified 32 (40%) and 4 (5%) isolates to the genus and species levels, respectively. For both subgroups, preparatory extraction was superior to direct colony testing for the identification of isolates to the genus and species levels ( P < 0.0001). Preparatory extraction is needed for the identification of a substantial proportion of Gram-positive cocci using the Biotyper method according to manufacturer-specified score cutoffs.
Comparison of Bruker Biotyper Matrix-Assisted Laser Desorption Ionization–Time of Flight Mass Spectrometer to BD Phoenix Automated Microbiology System for Identification of Gram-Negative Bacilli
Saffert, Ryan T., Cunningham, Scott A. , Ihde, Sherry M., Jobe, Kristine E. Monson, Mandrekar, Jayawant N. , Patel, Robin , Patel, Robin , Cunningham, Scott A

Journal of Clinical Microbiology | January 6, 2011 | Volume: 49 | Issue: 3 | Pages: 887-892

10.1128/jcm.01890-10 Get It

ABSTRACT We compared the BD Phoenix automated microbiology system to the Bruker Biotyper (version 2.0) matrix-assisted laser desorption ionization–time of flight (MALDI-TOF) mass spectrometry (MS) system for identification of Gram-negative bacilli, using biochemical testing and/or genetic sequencing to resolve discordant results. The BD Phoenix correctly identified 363 (83%) and 330 (75%) isolates to the genus and species level, respectively. The Bruker Biotyper correctly identified 408 (93%) and 360 (82%) isolates to the genus and species level, respectively. The 440 isolates were grouped into common (308) and infrequent (132) isolates in the clinical laboratory. For the 308 common isolates, the BD Phoenix and Bruker Biotyper correctly identified 294 (95%) and 296 (96%) of the isolates to the genus level, respectively. For species identification, the BD Phoenix and Bruker Biotyper correctly identified 93% of the common isolates (285 and 286, respectively). In contrast, for the 132 infrequent isolates, the Bruker Biotyper correctly identified 112 (85%) and 74 (56%) isolates to the genus and species level, respectively, compared to the BD Phoenix, which identified only 69 (52%) and 45 (34%) isolates to the genus and species level, respectively. Statistically, the Bruker Biotyper overall outperformed the BD Phoenix for identification of Gram-negative bacilli to the genus ( P < 0.0001) and species ( P = 0.0005) level in this sample set. When isolates were categorized as common or infrequent isolates, there was statistically no difference between the instruments for identification of common Gram-negative bacilli ( P > 0.05). However, the Bruker Biotyper outperformed the BD Phoenix for identification of infrequently isolated Gram-negative bacilli ( P < 0.0001).