Pedal Edema and Jugular Venous Pressure for Volume Overload in Peritoneal Dialysis Patients
Bibliographic record
Abstract
BACKGROUND: The diagnostic strength of the jugular venous pressure (JVP) and pedal edema as physical examination tools for the assessment of volume status has been minimally studied. METHODS: We conducted a prospective observational study in an outpatient peritoneal dialysis clinic in Saskatoon, Canada. Patients were adult (age 18 or older) peritoneal dialysis outpatients without any history of cardiac dysfunction, a central line, and current arteriovenous fistula. JVP was assessed by both a resident and a staff nephrologist, while the presence of edema was assessed by the resident only. Likelihood ratios were calculated for the absence or presence of pedal edema as well as the JVP at multiple cutoffs. The criterion standard for volume overload was defined as an overhydration to extracellular water ratio of greater than or equal to 7 % as determined by bioimpedance (Body Composition Monitor-Fresnius Medical Care). RESULTS: Twenty-five separate patient encounters were assessed. Twelve patients were found to be volume overloaded while 13 were euvolemic. The presence and absence of edema were both significant signs for the presence (+likelihood ratio (LR) 16, 95 % confidence interval (CI) 1.02-260) or absence (-LR 0.44, 95 % CI 0.23-0.83) of volume overload, respectively. The JVP failed to reach statistical significance for the presence or absence of volume overload at any height above the sternal angle, although precision was poor for the positive likelihood ratio at cutoffs above 3 cm and the negative likelihood ratio at the 0 cm cutoff. CONCLUSIONS: The presence of pedal edema is a good indicator of volume overload in peritoneal dialysis patients without cardiac dysfunction, although its absence cannot definitively rule out significant water excess. A JVP of 1 to 3 cm was found to be not a clinically significant sign. We are unable to comment on the diagnostic strength of a low (0 cm) or high (JVP >3 cm) due to poor precision.
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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 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".