Risk Factors for Late-Onset Cytomegalovirus Infection or Disease in Kidney Transplant Recipients
Bibliographic record
Abstract
BACKGROUND: CMV-D+/R- serostatus is the only well-established risk factor for late-onset cytomegalovirus (CMV) infection/disease (i.e., incident CMV infection/disease after cessation of prophylactic antiviral therapy). This study aimed to explore other potential risk factors for late-onset CMV infection/disease in kidney transplant recipients. METHODS: We conducted a retrospective cohort study of 641 kidney transplant recipients in Toronto, Canada, from January 1, 2003, to December 31, 2010. The cumulative incidence of late-onset CMV infection/disease was assessed using the Kaplan-Meier product-limit method. Potential risk factors for late-onset CMV infection/disease were examined using Cox proportional hazards regression models. RESULTS: Cumulative incidence estimates for CMV infection/disease after prophylaxis cessation in D+/R- versus D+/R+ versus D-/R+ patients were 26.2% versus 7.4% versus 3.1% at 6 months and 30.0% versus 7.7% versus 3.7% at 1 year, respectively. D+/R- serostatus (vs. R+ serostatus) and an estimated glomerular filtration rate of less than 45 mL/min (vs. ≥ 60 mL/min) at prophylaxis cessation were independently associated with late-onset CMV infection/disease (hazard ratio, 4.04 [95% confidence interval, 2.39-6.83]; and hazard ratio, 2.03 [95% confidence interval, 1.07-3.88], respectively). CONCLUSIONS: Patients with lower estimated glomerular filtration rate at prophylaxis cessation may be at an increased risk of late-onset CMV infection/disease and should be considered for more intensive CMV viral load monitoring, particularly within the first year after prophylaxis cessation.
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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 | 0.000 | 0.000 |
| 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".