Prevalence and Severity of Anemia in Pediatric Hemodialysis Patients; A Single Center Study
Bibliographic record
Abstract
BACKGROUNDS: This study was conducted to determine the prevalence and severity of anemia in children and adolescents on chronic hemodialysis, and to identify independent predictors of anemia in children on hemodialysis. METHODS: This cross-sectional study was performed between September 2005 and January 2006. The study population consisted of 25 patients aged 7−20 years on chronic hemodialysis from pediatric hemodialysis centers in Isfahan. RESULTS: A total of 22 (88%) patients had hemoglobin levels of <11 g/dL (anemic) and 12 patients (48%) had hemoglobin levels of <8 g/dL (severe anemia). The mean age of these patients was 15.5 ± 3.7 years. Mean time on chronic dialysis was 20.44 ± 15.25 months. Anemia was more common and more severe among children who were on dialysis for less than 6 months. There was an inverse relationship between the severity of anemia and duration of hemodialysis (P = 0.019, r = – 0.465). Nearly all patients were treated with erythropoietin, Children with more severe anemia received slightly higher dose of erythropoietin (P = 0.09, r = 0.202). There was a significant difference between serum albumin values in anemic patients and patients without anemia (P = 0.023). There was a correlation between serum albumin and hemoglobin level (r = 0.511, P = 0.01). Intact PTH levels were >200 pg/ml in 16 patients (66%) and >400 pg/ml in 9 patients (37. 5%). There was a reverse correlation between intact PTH level >200 pg/ml and hemoglobin level (r = -0.505, P = 0.046). CONCLUSIONS: The prevalence of anemia in hemodialysis children in Isfahan appears to be higher than that reported in the other studies in spite of extensive use of rHuEPO and iron supplementation. We found this to be especially true for patients new on hemodialysis (less than 6 months) and in those with low albumin and severe hyperparathyroidism. KEY WORDS: Hemodialysis, anemia, children.
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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 | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| 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".