Associations of interdialytic weight gain in the long intervals with mortality and residual kidney function decline
Bibliographic record
Abstract
INTRODUCTION: Interdialytic weight gain (IDWG) is crucial in the association between long interdialytic intervals and mortality in hemodialysis patients. The impact of IDWG on changes in residual kidney function (RKF) has not been evaluated thoroughly. This study examined the associations of IDWG in the long intervals (IDWGL) with mortality and rapid RKF decline. METHODS: This retrospective cohort study included patients who initiated hemodialysis in the United States dialysis centers from 2007 to 2011. IDWGL was defined as IDWG in the two-day break between dialysis sessions. This study examined the associations of seven categories of IDWGL (0% to <1%, 1% to <2%, 2% to <3% [reference], 3% to <4%, 4% to <5%, 5% to <6%, and ≥6%) with mortality using Cox regression models and rapid decline of renal urea clearance (KRU) using logistic regression models. The continuous relationships between IDWGL and study outcomes were investigated using restricted cubic spline analyses. FINDINGS: Mortality and rapid RKF decline were assessed in 35,225 and 6425 patients, respectively. Higher IDWGL categories were linked to increased risk of adverse outcomes. The multivariate adjusted hazard ratios (95% confidence intervals) of all-cause mortality for 3% to <4%, 4% to <5%, 5% to <6%, and ≥6% IDWGL were 1.09 (1.02-1.16), 1.14 (1.06-1.22), 1.16 (1.06-1.28), and 1.25 (1.13-1.37), respectively. The multivariate adjusted odds ratios (95% confidence intervals) of rapid decline of KRU for 3% to <4%, 4% to <5%, 5% to <6%, and ≥6% IDWGL were 1.03 (0.90-1.19), 1.29 (1.08-1.55), 1.17 (0.92-1.49), and 1.48 (1.13-1.95), respectively. When IDWGL exceeded 2%, the hazard ratios of mortality and the odds ratios of rapid KRU decline continuously increased. DISCUSSION: Higher IDWGL was incrementally associated with higher mortality risk and rapid KRU decline. IDWGL level over 2% was linked to higher risk of adverse outcomes. Therefore, IDWGL may be utilized as a risk parameter for mortality and RKF decline.
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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 | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 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".