P-2228. Utility of Microbial Cell-Free DNA Next-Generation Sequencing for Evaluation of Vascular Graft Infection Article Swipe
Melissa Kerkelis
,
Vasudevan Ramesh
,
Nischal Ranganath
,
Omar Abu Saleh
,
Hussam Tabaja
·
YOU?
·
· 2025
· Open Access
·
· DOI: https://doi.org/10.1093/ofid/ofae631.2382
YOU?
·
· 2025
· Open Access
·
· DOI: https://doi.org/10.1093/ofid/ofae631.2382
Background Vascular graft infection (VGI) is a rare but serious condition. Pathogen identification can be difficult given the deep-seated nature. Microbial cell-free DNA next-generation sequencing (mcfDNA NGS) is an emerging tool in non-invasive microbiologic workup. One commercially available mcfDNA is the Karius Test (KT). There is a paucity of data regarding utility and impact of mcfDNA NGS testing in the evaluation of VGI. Methods We retrospectively evaluated adult patients who underwent KT for evaluation of VGI at our institution. Only patients who met the Management of Aortic Graft Infection Collaboration (MAGIC) classification for suspected or confirmed VGI were included. We investigated the concordance between KT and conventional microbiologic workup. Conventional workup (CW) included pathogen identification through blood cultures, peri-graft/graft cultures, or histopathology. Concordance was defined by identical pathogen identification on KT and CW. We examined the influence of the KT result on clinical management.Figure 1.KT Results for Confirmed and Suspected VGI. Results We identified 25 patients who met criteria for either suspected or confirmed VGI per the MAGIC criteria. Microbiology was undefined in 8 patients who had negative KT and negative CW. A total of 17 patients had positive workup with 6 having positive KT and negative CW, 3 having negative KT and positive CW, and 8 having both positive KT and positive CW (Table 1). KT was less likely to be positive for patients who met criteria for suspected infection (4/10; 40%) as opposed to confirmed infection (10/15; 66.67%), albeit non-significant (OR 0.33, p=0.188) (Figure 1). The KT led to antimicrobial de-escalation in 27.3% of patients with positive CW and 35.7% of patients with negative CW (Figure 2). Full concordance of KT and CW was noted in 3 patients (Table 2).Figure 2.Influence of KT on VGI cases with positive and negative conventional work-up. Treatment escalation was defined as the broadening of antimicrobial coverage due to KT results. Treatment de-escalation was defined as narrowing/discontinuation of antimicrobial coverage due to KT results. Conclusion We found that the positivity rate for KT was 56%. KT impacted management in 40% of cases. Patients with confirmed VGI had a higher likelihood of having a positive KT. KT was the only positive microbiological definitive test in one case. Further studies are needed to explore the utility and impact of KT in the workup of VGI. Disclosures All Authors: No reported disclosures
Related Topics
Concepts
Medicine
Cell-free fetal DNA
DNA sequencing
Vascular graft
DNA
Microbiology
Computational biology
Surgery
Biology
Genetics
Pregnancy
Fetus
Prenatal diagnosis
Metadata
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- Language
- en
- Landing Page
- https://doi.org/10.1093/ofid/ofae631.2382
- OA Status
- gold
- Related Works
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- OpenAlex ID
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All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W4406923947Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.1093/ofid/ofae631.2382Digital Object Identifier
- Title
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P-2228. Utility of Microbial Cell-Free DNA Next-Generation Sequencing for Evaluation of Vascular Graft InfectionWork title
- Type
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articleOpenAlex work type
- Language
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enPrimary language
- Publication year
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2025Year of publication
- Publication date
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2025-01-29Full publication date if available
- Authors
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Melissa Kerkelis, Vasudevan Ramesh, Nischal Ranganath, Omar Abu Saleh, Hussam TabajaList of authors in order
- Landing page
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https://doi.org/10.1093/ofid/ofae631.2382Publisher landing page
- Open access
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YesWhether a free full text is available
- OA status
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goldOpen access status per OpenAlex
- OA URL
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https://doi.org/10.1093/ofid/ofae631.2382Direct OA link when available
- Concepts
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Medicine, Cell-free fetal DNA, DNA sequencing, Vascular graft, DNA, Microbiology, Computational biology, Surgery, Biology, Genetics, Pregnancy, Fetus, Prenatal diagnosisTop concepts (fields/topics) attached by OpenAlex
- Cited by
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0Total citation count in OpenAlex
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10Other works algorithmically related by OpenAlex
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| abstract_inverted_index.at | 77 |
| abstract_inverted_index.be | 15, 222 |
| abstract_inverted_index.by | 126 |
| abstract_inverted_index.in | 32, 59, 173, 254, 278, 336, 361, 376 |
| abstract_inverted_index.is | 6, 28, 40, 46 |
| abstract_inverted_index.of | 49, 55, 62, 75, 86, 138, 185, 256, 263, 272, 284, 302, 315, 338, 348, 374, 379 |
| abstract_inverted_index.on | 130, 142, 286 |
| abstract_inverted_index.or | 95, 121, 163 |
| abstract_inverted_index.to | 221, 236, 251, 306, 319, 368 |
| abstract_inverted_index.(OR | 243 |
| abstract_inverted_index.1). | 216, 247 |
| abstract_inverted_index.2). | 269 |
| abstract_inverted_index.40% | 337 |
| abstract_inverted_index.All | 382 |
| abstract_inverted_index.CW, | 198, 205 |
| abstract_inverted_index.CW. | 133, 182 |
| abstract_inverted_index.DNA | 23 |
| abstract_inverted_index.KT. | 352 |
| abstract_inverted_index.NGS | 57 |
| abstract_inverted_index.One | 36 |
| abstract_inverted_index.The | 248 |
| abstract_inverted_index.VGI | 76, 97, 165, 287, 343 |
| abstract_inverted_index.and | 53, 106, 132, 149, 180, 196, 203, 206, 212, 261, 274, 291, 372 |
| abstract_inverted_index.are | 366 |
| abstract_inverted_index.but | 9 |
| abstract_inverted_index.can | 14 |
| abstract_inverted_index.due | 305, 318 |
| abstract_inverted_index.for | 73, 93, 147, 160, 224, 229, 329 |
| abstract_inverted_index.had | 177, 188, 344 |
| abstract_inverted_index.led | 250 |
| abstract_inverted_index.met | 83, 158, 227 |
| abstract_inverted_index.one | 362 |
| abstract_inverted_index.our | 78 |
| abstract_inverted_index.per | 166 |
| abstract_inverted_index.the | 18, 41, 60, 84, 102, 136, 139, 167, 300, 326, 355, 370, 377 |
| abstract_inverted_index.was | 124, 171, 218, 276, 297, 311, 331, 354 |
| abstract_inverted_index.who | 70, 82, 157, 176, 226 |
| abstract_inverted_index.(CW) | 112 |
| abstract_inverted_index.1.KT | 145 |
| abstract_inverted_index.40%) | 233 |
| abstract_inverted_index.56%. | 332 |
| abstract_inverted_index.Full | 270 |
| abstract_inverted_index.NGS) | 27 |
| abstract_inverted_index.Only | 80 |
| abstract_inverted_index.Test | 43 |
| abstract_inverted_index.VGI. | 63, 151, 380 |
| abstract_inverted_index.both | 209 |
| abstract_inverted_index.data | 50 |
| abstract_inverted_index.less | 219 |
| abstract_inverted_index.only | 356 |
| abstract_inverted_index.rare | 8 |
| abstract_inverted_index.rate | 328 |
| abstract_inverted_index.test | 360 |
| abstract_inverted_index.that | 325 |
| abstract_inverted_index.tool | 31 |
| abstract_inverted_index.were | 98 |
| abstract_inverted_index.with | 191, 258, 265, 289, 341 |
| abstract_inverted_index.(KT). | 44 |
| abstract_inverted_index.(VGI) | 5 |
| abstract_inverted_index.0.33, | 244 |
| abstract_inverted_index.27.3% | 255 |
| abstract_inverted_index.35.7% | 262 |
| abstract_inverted_index.Graft | 88 |
| abstract_inverted_index.MAGIC | 168 |
| abstract_inverted_index.There | 45 |
| abstract_inverted_index.adult | 68 |
| abstract_inverted_index.blood | 117 |
| abstract_inverted_index.case. | 363 |
| abstract_inverted_index.cases | 288 |
| abstract_inverted_index.found | 324 |
| abstract_inverted_index.given | 17 |
| abstract_inverted_index.graft | 3 |
| abstract_inverted_index.noted | 277 |
| abstract_inverted_index.total | 184 |
| abstract_inverted_index.(4/10; | 232 |
| abstract_inverted_index.(Table | 215, 281 |
| abstract_inverted_index.Aortic | 87 |
| abstract_inverted_index.Karius | 42 |
| abstract_inverted_index.albeit | 241 |
| abstract_inverted_index.cases. | 339 |
| abstract_inverted_index.either | 161 |
| abstract_inverted_index.having | 193, 200, 208, 349 |
| abstract_inverted_index.higher | 346 |
| abstract_inverted_index.impact | 54, 373 |
| abstract_inverted_index.likely | 220 |
| abstract_inverted_index.mcfDNA | 39, 56 |
| abstract_inverted_index.needed | 367 |
| abstract_inverted_index.result | 141 |
| abstract_inverted_index.workup | 111, 190, 378 |
| abstract_inverted_index.(10/15; | 239 |
| abstract_inverted_index.(Figure | 246, 268 |
| abstract_inverted_index.(MAGIC) | 91 |
| abstract_inverted_index.(mcfDNA | 26 |
| abstract_inverted_index.Further | 364 |
| abstract_inverted_index.Methods | 64 |
| abstract_inverted_index.Results | 146, 152 |
| abstract_inverted_index.between | 104 |
| abstract_inverted_index.defined | 125, 298, 312 |
| abstract_inverted_index.explore | 369 |
| abstract_inverted_index.nature. | 20 |
| abstract_inverted_index.opposed | 235 |
| abstract_inverted_index.paucity | 48 |
| abstract_inverted_index.serious | 10 |
| abstract_inverted_index.studies | 365 |
| abstract_inverted_index.testing | 58 |
| abstract_inverted_index.through | 116 |
| abstract_inverted_index.utility | 52, 371 |
| abstract_inverted_index.workup. | 35, 109 |
| abstract_inverted_index.66.67%), | 240 |
| abstract_inverted_index.Abstract | 0 |
| abstract_inverted_index.Authors: | 383 |
| abstract_inverted_index.Pathogen | 12 |
| abstract_inverted_index.Patients | 340 |
| abstract_inverted_index.Vascular | 2 |
| abstract_inverted_index.clinical | 143 |
| abstract_inverted_index.coverage | 304, 317 |
| abstract_inverted_index.criteria | 159, 228 |
| abstract_inverted_index.emerging | 30 |
| abstract_inverted_index.examined | 135 |
| abstract_inverted_index.impacted | 334 |
| abstract_inverted_index.included | 113 |
| abstract_inverted_index.negative | 178, 181, 197, 201, 266, 292 |
| abstract_inverted_index.p=0.188) | 245 |
| abstract_inverted_index.pathogen | 114, 128 |
| abstract_inverted_index.patients | 69, 81, 156, 175, 187, 225, 257, 264, 280 |
| abstract_inverted_index.positive | 189, 194, 204, 210, 213, 223, 259, 290, 351, 357 |
| abstract_inverted_index.reported | 385 |
| abstract_inverted_index.results. | 308, 321 |
| abstract_inverted_index.work-up. | 294 |
| abstract_inverted_index.2).Figure | 282 |
| abstract_inverted_index.Confirmed | 148 |
| abstract_inverted_index.Infection | 89 |
| abstract_inverted_index.Microbial | 21 |
| abstract_inverted_index.Suspected | 150 |
| abstract_inverted_index.Treatment | 295, 309 |
| abstract_inverted_index.available | 38 |
| abstract_inverted_index.cell-free | 22 |
| abstract_inverted_index.confirmed | 96, 164, 237, 342 |
| abstract_inverted_index.criteria. | 169 |
| abstract_inverted_index.cultures, | 118, 120 |
| abstract_inverted_index.difficult | 16 |
| abstract_inverted_index.evaluated | 67 |
| abstract_inverted_index.identical | 127 |
| abstract_inverted_index.included. | 99 |
| abstract_inverted_index.infection | 4, 231, 238 |
| abstract_inverted_index.influence | 137 |
| abstract_inverted_index.regarding | 51 |
| abstract_inverted_index.suspected | 94, 162, 230 |
| abstract_inverted_index.undefined | 172 |
| abstract_inverted_index.underwent | 71 |
| abstract_inverted_index.Background | 1 |
| abstract_inverted_index.Conclusion | 322 |
| abstract_inverted_index.Management | 85 |
| abstract_inverted_index.broadening | 301 |
| abstract_inverted_index.condition. | 11 |
| abstract_inverted_index.definitive | 359 |
| abstract_inverted_index.escalation | 296 |
| abstract_inverted_index.evaluation | 61, 74 |
| abstract_inverted_index.identified | 154 |
| abstract_inverted_index.likelihood | 347 |
| abstract_inverted_index.management | 335 |
| abstract_inverted_index.positivity | 327 |
| abstract_inverted_index.sequencing | 25 |
| abstract_inverted_index.2.Influence | 283 |
| abstract_inverted_index.Concordance | 123 |
| abstract_inverted_index.Disclosures | 381 |
| abstract_inverted_index.concordance | 103, 271 |
| abstract_inverted_index.deep-seated | 19 |
| abstract_inverted_index.disclosures | 386 |
| abstract_inverted_index.Conventional | 110 |
| abstract_inverted_index.Microbiology | 170 |
| abstract_inverted_index.commercially | 37 |
| abstract_inverted_index.conventional | 107, 293 |
| abstract_inverted_index.institution. | 79 |
| abstract_inverted_index.investigated | 101 |
| abstract_inverted_index.non-invasive | 33 |
| abstract_inverted_index.Collaboration | 90 |
| abstract_inverted_index.antimicrobial | 252, 303, 316 |
| abstract_inverted_index.de-escalation | 253, 310 |
| abstract_inverted_index.microbiologic | 34, 108 |
| abstract_inverted_index.classification | 92 |
| abstract_inverted_index.identification | 13, 115, 129 |
| abstract_inverted_index.histopathology. | 122 |
| abstract_inverted_index.microbiological | 358 |
| abstract_inverted_index.next-generation | 24 |
| abstract_inverted_index.non-significant | 242 |
| abstract_inverted_index.retrospectively | 66 |
| abstract_inverted_index.peri-graft/graft | 119 |
| abstract_inverted_index.management.Figure | 144 |
| abstract_inverted_index.narrowing/discontinuation | 314 |
| cited_by_percentile_year | |
| countries_distinct_count | 1 |
| institutions_distinct_count | 5 |
| citation_normalized_percentile.value | 0.04123025 |
| citation_normalized_percentile.is_in_top_1_percent | False |
| citation_normalized_percentile.is_in_top_10_percent | True |