The Impact of Preexisting and Post-transplant Diabetes Mellitus on Outcomes Following Liver Transplantation
Bibliographic record
Abstract
BACKGROUND: Diabetes mellitus (DM) is said to adversely affect transplant outcomes. The aim of this study was to investigate the impact of pre-existing and new-onset DM on liver transplantation (LT) recipients. METHODS: A single-center retrospective analysis of prospectively collected data of LT recipients (1990-2015) was undertaken. RESULTS: Of the 2209 patients, 13% (n = 298) had Pre-DM, 16% (n = 362) developed post-transplant diabetes mellitus (PTDM), 5% (n = 118) developed transient hyperglycemia (t-HG) post-LT, and 65% (n = 1431) never developed DM (no DM). Baseline clinical characteristics of patients with PTDM were similar to that of patients with Pre-DM. Incidence of PTDM peaked during the first year (87%) and plateaued thereafter. On multivariate analysis (Bonferroni-corrected), nonalcoholic fatty liver disease and the use of tacrolimus and sirolimus were independently associated with PTDM development. Both Pre-DM and PTDM patients had satisfactory and comparable glycemic control throughout the follow-up period. Those who developed t-HG seem to have a unique characteristic compared with others. Overall, 9%, 5%, and 8% of patients developed end-stage renal disease (ESRD), major cardiovascular event (mCVE), and de novo cancer, respectively. Both Pre-DM and PTDM did not adversely affect patient survival, retransplantation, or de novo cancer. The risks of ESRD and mCVE were significantly higher in patients with Pre-DM followed by PTDM and no DM. CONCLUSIONS: In this largest nonregistry study, patients with Pre-DM and PTDM share similar baseline clinical characteristics. Pre-DM increases the risk of ESRD and mCVE; however, patient survival was comparable to those with PTDM and without diabetes. Understanding the impact of PTDM would need prolonged follow-up.
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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".