Uremic pruritus is associated with higher Kt/V and serum calcium concentration
Bibliographic record
Abstract
BACKGROUND: The prevalence and characteristics of uremic pruritus have not recently been investigated in a US dialysis cohort. This study examined uremic pruritus and associated risk factors in hemodialysis patients treated in the year 2005. METHODS: The prevalence and characteristics of pruritus (short version McGill pain questionnaire), severity (10 cm visual analogue scale), and effect on quality of life (Skindex-16) were determined in thrice weekly hemodialysis patients. Daugirdas single-pool Kt/V, clinical and laboratory data were recorded. RESULTS: 105 of 307 screened hemodialysis patients met inclusion criteria and were evaluated, 49% (151) were excluded due to advanced age, 3% (9) other skin diseases, and 14% (42) refused. Participants were 55% male (58/105) and 65% African-American (68) with a mean +/- SD age of 48 +/- 11 years. The overall prevalence of pruritus was 57% (60/105, 95% CI 47 - 67%) and a positive correlation was observed between the presence of uremic itch and serum calcium concentration (p = 0.04). Intact PTH and serum phosphorus concentration were not associated with either the presence or intensity of itch. Intensity of pruritus was positively correlated with increasing months on dialysis (64 +/- 63 vs. 51 +/- 46 months for itch and non-itch, respectively; p = 0.02), higher Kt/V (1.82 +/- 0.7 vs. 1.70 +/- 0.56 for itch and non-itch, respectively; p = 0.01) and skin dryness (p = 0.01). Patients receiving statins were significantly less likely to report pruritus (p = 0.02) and uremic itch adversely impacted several aspects of quality of life. CONCLUSIONS: Pruritus remains a common and significant symptom in adequately hemodialyzed patients. Higher serum calcium concentrations, longer durations of ESRD and higher Kt/V appear to be important factors associated with uremic pruritus.
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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 | 0.000 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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".