Impact of Intradialytic Weight Gain on Left Ventricular Function and Characteristics in Hemodialysis Patients
Bibliographic record
Abstract
BACKGROUND: Pulmonary circulation is particularly overloaded in hemodialysis patients with high interdialytic weight gain (IDWG), as evidenced by deterioration in right ventricular function indices. This study aimed to evaluate the impact of the degree of fluid accumulation on left ventricular (LV) systolic and diastolic function and sizing characteristics. METHODS: This is a post hoc analysis of a cross-over study in 41 hemodialysis patients. Study participants were stratified using the recommended threshold IDWG% into a higher (> 4.5%) and a lower (< 4.5%) IDWG% group. All participants underwent 4 echocardiographic assessments at the start and the end of the 2-day and the 3-day interdialytic interval. RESULTS: , p = 0.004, respectively). Over the 3-day interval, significant increments in stroke volume were observed for both groups. With regard to diastolic function, a significant increase in E wave, E/A, and E/E'm lateral ratios was observed over the 3-day interval, and significant between-group differences in interdialytic changes were detected for the E/A ratio (IDWG > 4.5% 0.35 ± 0.29 vs. < 4.5% 0.06 ± 0.44, p = 0.035) and the E wave (IDWG > 4.5% 0.31 ± 0.24 vs. < 4.5% 0.10 ± 0.19, p = 0.02). Left atrial dimensions and LV mass were enlarged to a similar extent in both study groups during both intervals. CONCLUSIONS: Patients exceeding the recommended IDWG threshold experience more pronounced changes in indices of LV function and significant deterioration of preload-dependent indexes of LV diastolic function.
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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 | 0.001 |
| 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) | 0.001 | 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".