The impact of the Christmas holiday effect on interdialytic weight gain in hemodialysis patients: A multicenter observational retrospective cohort study
Bibliographic record
Abstract
INTRODUCTION: The 3-day interdialytic interval (IDI) is associated with high interdialytic weight gain (IDWG), but little is known about the effect of public or religious holidays on IDWG. Consequently, we evaluated the impact of the "Christmas holiday effect" on IDWG of hemodialysis patients. METHODS: A retrospective cohort study of adult hemodialysis patients (over 18 years) was conducted across five dialysis units in Australia. Demographic and clinical data were collected from electronic medical records. IDWG was established for three time points; regular 3-day IDI, 2-day IDI preceding the Christmas holiday and a 3-day IDI that included the Christmas holiday. Paired t-tests and logistic regression were used to compare differences in mean IDWG before and after the Christmas holiday and to examine factors associated with high IDWG, respectively. FINDINGS: Two hundred and fifty-two patients, 69% of whom were male, with mean (SD) age of 65.4 ± 15.3 years, were studied. Most had end-stage kidney disease due to diabetes (44%), and they had been on hemodialysis for a median of 25.5 (IQR, 60-10) months. There was a significant increase in absolute IDWG (MD 0.21 kg, 95% CI -0.07 to 0.36; P = 0.004) and relative IDWG (MD 0.3%, 95% CI 0.10-0.40; P = 0.01) after the holiday 3-day IDI compared with the regular 3-day IDI. Older age (OR 0.12; 95% CI 0.02-0.55) and a unit increase in hemoglobin (OR 0.94; 95% CI 0.89-0.99) were associated with lower odds of high relative IDWG while speaking a language other than English increased the odds for high relative IDWG (OR 5.03; 95% CI 1.12-22.65). CONCLUSION: Absolute and relative IDWG increased significantly after the Christmas holiday. Individualizing dialysis needs may improve outcomes for these patients.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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".