Bioimpedance analysis and cardiovascular status in pediatric patients on chronic hemodialysis
Bibliographic record
Abstract
Bioimpedance analysis (BIA) is reported to be useful in assessing dry weight (DW) in patients on hemodialysis (HD), but its exact role has never been clearly defined. We reviewed our experience of using the BIA measure of reactance (Xc) in pediatric patients on chronic HD. Our approach is currently based on identifying a range of patient-specific Xc values at which a child can be considered at DW according to a multidisciplinary assessment. Values lower than the patient-specific limit suggests the need for a reduction in DW, whereas values higher than the limit suggest that DW should be increased. The accuracy of our approach was retrospectively assessed by analyzing the left ventricular mass index (LVMI) and the incidence of pulmonary edema (PE) in two groups: The first consisted of 13 patients (median age 15.6 years) on dialysis in 2007, before the introduction of the BIA-based approach; the second included 18 patients (median 14.8 years) on dialysis in 2011. In 2007, three children experienced four episodes of PE, whereas no PE occurred in 2011. The median LVMI was 56.8 g/m(2.7) in 2007, and 44.5 g/m(2.7) in 2011 (P < 0.05). The percentage of patients with LV hypertrophy (LVMI>38.5 g/m(2.7)) was 92.3% in 2007 and 61.1% in 2011 (P < 0.05). There were no between-group differences in terms of blood pressure, antihypertensive medications, percentage of symptomatic sessions, or biochemistry. In conclusion, a simple approach based on BIA may be useful in assessing DW in pediatric patients on HD, and thus improve their cardiovascular status.
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| 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) | 0.000 | 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".