Impact of donor and recipient cytomegalovirus serology on long‐term survival of lung transplant recipients
Bibliographic record
Abstract
BACKGROUND: Pre-transplant cytomegalovirus (CMV) serostatus has been associated with lung transplant patient survival. We retrospectively analyzed the relationship between pre-transplant donor/recipient CMV serostatus and long-term mortality in a cohort of lung transplant recipients at our center. METHOD: Adult (Age >17 years) lung recipients transplanted between July 1985-December 2015 were analyzed. Variables included age, sex, pre-transplant donor (D)/recipient (R) serostatus [D-/R-, D-/R+, D+/R+, D+/R-], CMV infection within 2 years of transplant and transplant eras divided by changes in CMV prevention strategies: Era 1 (pre-ganciclovir, July 1985-April 1998), Era 2 (oral ganciclovir, May 1998-December 2004), Era 3 (valganciclovir, January 2005-December 2015). Survival analysis and Cox regression were performed at 10 years. RESULTS: A total of 652 lung recipients were analyzed. Twenty percent were CMV mismatched pre-transplant and 45% had CMV infection within 2 years post-transplant. Survival at 10 years appeared worse in D+ transplants (P = 0.027). D-/R- lungs did not have significantly different survival across eras (P = 0.76), but survival of D-/R+, D+/R+, D+/R- lungs improved (P < 0.001). Cox regression revealed that transplantation in the valganciclovir era reduced risk of death in lung transplants by an estimated 52% (P < 0.001) compared to transplantation in the pre-ganciclovir era after controlling for age at transplant, D/R CMV serostatus and CMV infection. Age at transplant and CMV infection were also significant predictors of mortality in lung transplants (P < 0.001 and 0.033 respectively). CONCLUSION: Our review of the impact of CMV managed differently across eras suggests in lung transplantation there is no independent influence of D/R CMV serostatus on 10-year survival.
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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) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 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) | 0.001 | 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".