Prevalence and outcome of diastolic dysfunction in liver transplantation recipients
Bibliographic record
Abstract
Objective: Cirrhotic cardiomyopathy (CCMP) denotes a chronic cardiac dysfunction in cirrhotic patients. It is characterized by systolic (SD) and diastolic dysfunction (DO), and electromechanical abnormalities, in the absence of other cardiac diseases. Liver transplantation (LTx) has a favourable effect on CCMP, but CCMP is in itself a risk factor. Aims of the study were (1) to estimate the prevalence of DD among LTx candidates, (2) to compare outcome between patients with and without DD, and (3) to determine if tricuspid regurgitation (TR) is a predictor of post-transplantation outcome. Methods: 173 LTx recipients were retrospectively evaluated. Diagnostic criteria for SD and DD were a resting ejection fraction <55% and an E/A ratio <1 or a deceleration time >200 msec on echocardiography, respectively, according to the criteria proposed during the World Congress of Gastroenterology in Montreal, 2005. The difference in outcome between patients with and without DD was evaluated in terms of mortality and cardiovascular complications post-transplantation. Results: SD and DD were diagnosed in 3(2%) and 74(43%) patients, respectively. Patients with DD had significantly older age (P < 0.0001). Regarding outcome, no statistically significant difference could be documented. Moderate/severe TR is, in contrast to no or mild TR, associated with worse post-transplantation outcome (P = 0.01 short-term, P = 0.02 long-term). Conclusion: In this study population, a prevalence of SD and DD of 2% and 43%, respectively, was registered. Outcome does not seem to be strongly affected by the presence of DD. Tricuspid regurgitation severity on echocardiography is predictive of survival.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 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) | 0.002 | 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".