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. 2023 Feb 8;76(3):e1285-e1293.
doi: 10.1093/cid/ciac638.

Clinical and Molecular Analyses of Recurrent Gram-Negative Bloodstream Infections

Affiliations

Clinical and Molecular Analyses of Recurrent Gram-Negative Bloodstream Infections

Andrew Bock et al. Clin Infect Dis. .

Abstract

Background: The causes and clinical characteristics of recurrent gram-negative bacterial bloodstream infections (GNB-BSI) are poorly understood.

Methods: We used a cohort of patients with GNB-BSI to identify clinical characteristics, microbiology, and risk factors associated with recurrent GNB-BSI. Bacterial genotyping (pulsed-field gel electrophoresis [PFGE] and whole-genome sequencing [WGS]) was used to determine whether episodes were due to relapse or reinfection. Multivariable logistic regression was used to identify risk factors for recurrence.

Results: Of the 1423 patients with GNB-BSI in this study, 60 (4%) had recurrent GNB-BSI. Non-White race (odds ratio [OR], 2.35; 95% confidence interval [CI], 1.38-4.01; P = .002), admission to a surgical service (OR, 2.18; 95% CI, 1.26-3.75; P = .005), and indwelling cardiac device (OR, 2.73; 95% CI, 1.21-5.58; P = .009) were associated with increased risk for recurrent GNB-BSI. Among the 48 patients with recurrent GNB-BSI whose paired bloodstream isolates underwent genotyping, 63% were due to relapse (30 of 48) and 38% were due to reinfection (18 of 48) based on WGS. Compared with WGS, PFGE correctly differentiated relapse and reinfection in 98% (47 of 48) of cases. Median time to relapse and reinfection was similar (113 days; interquartile range [IQR], 35-222 vs 174 days; IQR, 69-599; P = .13). Presence of a cardiac device was associated with relapse (relapse: 7 of 27, 26%; nonrelapse: 65 of 988, 7%; P = .002).

Conclusions: In this study, recurrent GNB-BSI was most commonly due to relapse. PFGE accurately differentiated relapse from reinfection when compared with WGS. Cardiac device was a risk factor for relapse.

Keywords: bacteremia; bloodstream infection; gram-negative; recurrent.

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Conflict of interest statement

Potential conflicts of interest. V. G. F. reports personal fees from Novartis, Novadigm, Durata, Debiopharm, Genentech, Achaogen, Affinium, Medicines Co, Cerexa, Tetraphase, Trius, MedImmune, Bayer, Theravance, Basilea, Affinergy, Janssen, xBiotech, Contrafect, Regeneron, Basilea, Destiny, Amphliphi Biosciences, Integrated Biotherapeutics, Armata, Valnbio, Akagera, Aridis, Roche, Pfizer, and C3J; grants from NIH, MedImmune, Cerexa/Forest/Actavis/Allergan, Pfizer, Advanced Liquid Logics, Theravance, Novartis, Cubist/Merck, Medical Biosurfaces, Locus, Affinergy, Contrafect, Karius, Genentech, Regeneron, Basilea, Janssen, Green Cross, Cubist, Cerexa, Durata, Theravance, and Debiopharm; royalties from UpToDate; a patent pending in sepsis diagnostics; support from Contrafect to present phase 2 data at 2019 European Congress of Clinical Microbiology and Infectious Diseases (ECCMID); serving as associate editor, Clinical Infectious Diseases; and stock or stock options to self from ArcBio and Valanbio. J. T. T. is a scientific advisor for Resonantia, Inc. C. A. A. reports grant support from Merck Pharmaceuticals, Entasis Pharmaceuticals and MeMed Diagnostics, and Harris County Public Health; payments made to the institution during the conduct of this study from NIH/NIAID ARLG UM1AI104681, NIH/NIAID T32 AI141349, NIH/NIAID U19 AI144297, NIH/NIAID R01 AI150685, and NIH/NIAID R21 AI151536; royalties or licenses from UpToDate paid to self; reimbursements to attend IDWeek as speaker and part of the organizing committee from the Infectious Diseases Society of America, to attend ASMMicrobe as speaker from American Society for Microbiology, to attend the Society for Healthcare Epidemiology of America (SHEA) Conference as speaker from Society of Hospital Epidemiology of America, to attend ECCMID as speaker from the European Society for Clinical Microbiology and Infectious Diseases, to attend the Interdisciplinary Course on Antibiotics and Resistance (ICARE) course as faculty from Merieux Foundation, and to attend annual meeting as speaker from Sociedad Argentina de Infectologia, Sociedad Chilena de Infectologia, Sociedad Colombiana de Infectologia, Panamerican Society for Infectious Diseases, and Brazilian Society for Infectious Diseases; participation on the World Health Organization’s Antibacterial Pipeline Advisory Group (received no financial compensation, no travel, meetings have all been virtual); payment made to self from NIH Grant Review Study Section; a voluntary position, no compensation, payment for travel and accommodation for board meetings as member of the Infectious Diseases Society of America Board of the Directors; and payment made to self as editor in chief, Antimicrobial Agents and Chemotherapy. All remaining authors: No reported conflicts of interest. All authors have submitted the ICMJE Form for Disclosure of Potential Conflicts of Interest. Conflicts that the editors consider relevant to the content of the manuscript have been disclosed.

Figures

Figure 1.
Figure 1.
Composite pulsed-field gel electrophoresis gel demonstrating each of the bacterial species studied. Lanes 1, 2: reinfection with Klebsiella oxytoca (ΔT = 98 days). Lanes 3, 4: relapse with Escherichia coli (ΔT = 263 days). Lane 5: untypable Serratia marcescens. Lanes 6, 7: relapse with S. marcescens (ΔT = 23 days). Lanes 8, 9, 10: relapse (ΔT = 155 days) and subsequent reinfection (ΔT = 1279 days) with Klebsiella pneumoniae. Lanes 11, 12: relapse with S. marcescens (ΔT = 34 days). Lanes 13,14: relapse with Pseudomonas aeruginosa (ΔT = 238 days).
Figure 2.
Figure 2.
Time from initial to recurrent episode of gram-negative bloodstream infection. A, Relapse (ie, same bacterial strain) vs reinfection (ie, different bacterial strain) was determined by pulse-field gel electrophoresis and validated by whole-genome sequencing. The relapse rates relative to total recurrent cases are noted for each bacterial species and in total. B, Days from initial to recurrent episode of gram-negative bloodstream infection, stratified by relapse vs reinfection. Abbreviation: IQR, interquartile range.
Figure 3.
Figure 3.
Heat map of antimicrobial resistance changes in the recurrent gram-negative bacterial bloodstream infection (GNB-BSI) isolates relative to the initial GNB-BSI isolates in relapse (A) and reinfection (B) cases. Each row represents a pairwise comparison of 2 bacteria from the same patient (ie, the initial and recurrent GNB-BSI isolates). In the recurrent GNB-BSI isolate, resistance to the antibiotic in each column could be decreased, unchanged, or increased relative to the initial GNB-BSI isolate. Abbreviations: pip-tazo, piperacillin-tazobactam; TMP-SMX, trimethoprim-sulfamethoxazole.
Figure 4.
Figure 4.
SNPs in patients with Escherichia coli (A) and Klebsiella spp. (B) bloodstream infections. The distribution of SNPs is shown from bacterial pairs from the same patient (within patient). The remaining distributions are SNPs when comparing bacteria from different patients. These distributions of SNPs from different patients include bacteria with the same multilocus sequence type (MLST; within MLST), different MLSTs (within species), and, in the case of Klebsiella, different species within the same genus (within genus). Box and whisker plots are shown with the median and interquartile range illustrated with the box and the range illustrated with the whiskers. All comparisons were associated with P < .0001 (*). Abbreviations: MLST, multilocus sequence type; SNP, single-nucleotide polymorphism.

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