111. Assessment of Empiric Management Practices of Common Infections in Solid Organ Transplant Recipients at a Canadian Tertiary Care Centre - A Retrospective Cohort Study
Bibliographic record
Abstract
Abstract Background Post-transplant infections remain a leading cause of morbidity and mortality in solid organ transplant recipients (SOTR). Standardized antimicrobial treatment guidelines for infectious syndromes may contribute to improved clinical care. Our study seeks to assess the rate of therapeutic compliance with local standard guidelines in the treatment of common infections in SOTR, and their associated outcomes. Methods Consecutive adult SOTR admitted to the transplant floor from January–May 2020 for treatment of an infectious syndrome of interest were reviewed for study inclusion. Patients were followed until discharge or for 30 days following the date of diagnosis, whichever was shorter. Data was extracted from electronic medical records. Results 475 SOTR were admitted to the transplant floor, of which 156 patients (33%) were admitted with infectious syndromes. Guidelines were applicable to 117 patients, constituting the following 122 syndromes: 51 pneumonias; 34 urinary tract infections (UTI); 22 bacteremias and 15 intra-abdominal infections (Fig. 1). Intra-abdominal infections occurred earliest at a median time of 9 months post-transplant followed by bacteremias, pneumonias, and UTIs (medians 10, 38 and 54 months respectively) (Table 1). 47% of patients were empirically treated with a regimen compliant with guidelines and 66% were provided compliant tailored therapies. Non-compliance with empiric management guidelines resulted in a significantly higher proportion of patients requiring ICU transfer when compared to compliance (25% vs. 9%; P = .02) (Table 2). Non-compliance with tailoring protocols resulted in an increased overall length of stay (medians 11 days vs. 8 days; P = .04). Within 30 days of discharge, no differences in readmission, development of Clostridium difficile infection, rejection, graft loss or death were observed between patients receiving compliant or non-compliant regimens. Figure 1. Study Flow Diagram Table 1. Baseline Characteristics of Patient Cohort Table 2. Outcomes of compliant vs. non-compliant treatment in patients receiving antimicrobial therapy for an infectious syndrome Conclusion Non-compliance with locally developed antimicrobial management guidelines resulted in a higher proportion of patients being transferred to the ICU and an increased length of stay in our cohort, highlighting the benefits of adherence. Future studies will assess long-term outcomes associated with compliance to infection management guidelines. Disclosures All Authors: No reported disclosures
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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 | 0.002 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.004 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 0.000 |
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".