Measurement of Extravascular Lung Water in Hemodialysis Patients Using Blood Ultrasound Velocity and Optical Density Dilution
Bibliographic record
Abstract
In hemodialysis patients, volume homeostasis is an important clinical problem. The aim is to have patients at an ideal "dry weight" postdialysis, but current methods for accurately measuring dry weight are disappointing. Krivitski et al. (ASAIO J 1998;44:M535-M540) have described a novel technique whereby extravascular lung water (EVLW) may be measured using blood ultrasound velocity and electrical impedance dilution. They have tested this method in animals and achieved agreement between obtained versus gravimetric measurements. Isotonic saline is used as a nondiffusible indicator and hypertonic (5%) saline is used as a diffusible indicator. By injecting these solutions and following their transits through the cardiopulmonary circulation, a theoretic basis for the calculation of EVLW may be derived from the cardiac output, the water transferred to blood, the amount of sodium chloride moved from blood to lung, and the increase in blood osmolality measured at the moment of osmotic equilibrium. We have used this new technique to measure EVLW for the first time in humans in 18 stable hemodialysis patients with no cardiac problems. Measurements were carried out twice in each patient, the first early in dialysis, the second toward the end of a dialysis session where fluid removal took place. The values for EVLW were 260+/-49 ml early in dialysis and 230+/-48 ml late in dialysis. This fall of 30+/-45 ml was statistically significant (p = 0.011). EVLW normalized to body weight was 3.29+/-1.0 ml/kg early and 3.02+/-1.04 ml/kg late in dialysis, a nonsignificant difference (p - 0.073). The normalized EVLW values are almost identical to those obtained in animals (3.1+/-1.4 ml/kg) by Krivitski et al. (see above). We conclude that this new technique can conveniently and noninvasively give an estimate of EVLW in hemodialysis patients. The clinical value of this measurement has now to be determined.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| 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".