Lymphopenia at the time of transplant is associated with short-term mortality after deceased donor liver transplantation
Bibliographic record
Abstract
Absolute lymphocyte count (ALC) is considered a surrogate marker for nutritional status and immunocompetence. We investigated the association between ALC and post-liver transplant outcomes in patients who received a deceased donor liver transplant (DDLT). Patients were categorized by ALC at liver transplant: low (<500/μL), mid (500-1000/μL), and high ALC (>1000/μL). Our main analysis used retrospective data (2013-2018) for DDLT recipients from Henry Ford Hospital (United States); the results were further validated using data from the Toronto General Hospital (Canada). Among 449 DDLT recipients, the low ALC group demonstrated higher 180-day mortality than mid and high ALC groups (83.1% vs 95.8% and 97.4%, respectively; low vs mid: P = .001; low vs high: P < .001). A larger proportion of patients with low ALC died of sepsis compared with the combined mid/high groups (9.1% vs 0.8%; P < .001). In multivariable analysis, pretransplant ALC was associated with 180-day mortality (hazard ratio, 0.20; P = .004). Patients with low ALC had higher rates of bacteremia (22.7% vs 8.1%; P < .001) and cytomegaloviremia (15.2% vs 6.8%; P = .03) than patients with mid/high ALC. Low ALC pretransplant through postoperative day 30 was associated with 180-day mortality among patients who received rabbit antithymocyte globulin induction (P = .001). Pretransplant lymphopenia is associated with short-term mortality and a higher incidence of posttransplant infections in DDLT patients.
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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 | 0.001 | 0.003 |
| 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 | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| 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 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".