P-2310. <i>Gammaproteobacteria</i> Load Responses in the Intestinal Microbiota of Patients Undergoing Hematopoietic Cell Transplantation Predicts Resistant Gram-Negative Rod Colonization
Bibliographic record
Abstract
Abstract Background Hematopoietic cell transplant (HCT) patients are at high risk of Gram-negative rod (GNR) blood stream infections (BSIs) particularly before pre-engraftment. Globally, breakthrough infections with resistant GNRs (rGNRs) are increasing in HCT while rGNR epidemiology has become increasingly complex to predict. It’s recognized that individualized antimicrobial HCT therapy is needed but it is unclear what screening strategies are optimal to detect rGNR colonization. Single taxon dominance of certain Gammaproteobacteria (ɣ-bacteria) species in HCT intestinal microbiomes is a BSI risk factor where colonizing strains present prior to transplant are predominant aetiologies of GNR BSIs. In this study we sought to understand how ɣ-bacteria loads respond to HCT antimicrobial therapy. Methods We performed a prospective study of 60 adult patients undergoing HCT at The Ottawa Hospital from 2021-2022. A baseline fecal sample collected < 1 week before conditioning was screened by culture for colonization with rGNR to fluoroquinolones (FQ), 3rd generation cephalosporins (3GC) and carbapenems. Total- and ɣ-bacteria loads were measured by qPCR in baseline and serial specimens until engraftment, expressed as the Log10 (ɣ-bacteria 16S copies / total 16S copies) per ng fecal DNA. Ceftriaxone (CTX) and piperacillin-tazobactam (TZP) are used for prophylaxis and empiric FN therapy, respectively at our institution. Results High ɣ-bacteria loads were associated with baseline rGNR colonization compared to no rGNR colonization (Log10 (-1.85) vs Log10 (-2.39), p < 0.0095) (Fig. 1). Highest loads occurred when resistant Escherichia coli or Klebsiella pneumoniae colonized the intestinal microbiota (Log10 (-1.34), p < 0.001). ɣ-bacteria loads were refractory to CTX and TZP therapy when colonizing E. coli or K. pneumoniae carried 3GC resistance (Fig. 2a). In contrast, ɣ-bacteria loads decreased > 2 Log10 in response to CTX and TZP if at baseline rGNRs were FQ resistant, expressed chromosomal AmpC, or if no rGNRs were detected (Fig. 2b, c, d). Conclusion ɣ-bacteria load measurement during HCT may be useful for predicting colonization with rGNR strains and identifying patients at risk of GNR BSI. Disclosures All Authors: No reported disclosures
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 0.001 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".