Incidence of Early Urinary Tract Infections and Relationship to Subsequent Rejection Episodes in Renal Allograft Recipients
Bibliographic record
Abstract
The purpose of this study was to define the incidence of urinary tract infections (UTI) in the early post-transplant period and to determine whether or not they have any adverse influence on the severity and reversibility of rejection episodes. 166 recipients of 1st allografts (127 recipients of nonliving donor kidneys and 39 recipients of living related donor kidneys) were classified according to whether or not they had UTI during the 1 st month post-transplant. In each group, the number of subsequent rejection episodes within the 1st 6 weeks post-transplant was evaluated, and the rejections were classified as reversible or irreversible. The same evaluation was done for the 127 recipients of nonliving donor kidneys as a subgroup. The summarized results of the latter group are as follows: 52 of 127 patients had UTI for an incidence of 41 %; 40 of 52 patients (77%) with previous UTI compared to 55 of 75 patients (73%) without previous UTI developed rejection episodes. 20% of the rejection episodes were irreversible in the group with previous UTI compared to 24% in the group without previous UTI. Rejections occur with similar frequency in recipients with and without previous UTI in the early post-transplant period. No evidence was found to suggest that post-transplant UTI trigger rejection episodes or are associated with severe rejection crises. However, significantly more patients with UTI than without UTI were anergic to delayed-type hypersensitivity (DTH) skin test antigens pretransplant, had longer dialysis-dependent uremia and had received pretransplant blood transfusions. These latter three interrelated variables are thus considered to be infection-related risk factors.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".