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Peritoneal dialysate volume determined by indicator dilution measurements.
A H Pust1, J K Leypoldt, R P Frigon
1Department of Medicine, Veterans Administration Medical Center, San Diego, California.
Kidney International
|January 1, 1988
Summary
Indicator dilution techniques for peritoneal dialysis volume measurement revealed errors due to solute loss. Single injection of large molecular weight index solute (SIIS) overestimated volumes compared to multiple injections (MIIS).
Area of Science:
- Nephrology
- Biomedical Engineering
- Physiology
Background:
- Accurate measurement of dialysate volume is crucial for effective peritoneal dialysis.
- Indicator dilution techniques are commonly used but may be subject to systematic errors.
Purpose of the Study:
- To compare two indicator dilution techniques for determining dialysate volume in a rabbit model of peritoneal dialysis.
- To assess the influence of different dialysate solutions (isotonic, hypertonic, hypotonic) on volume measurements.
- To identify sources of systematic error in indicator dilution methods.
Main Methods:
- Simultaneous determination of dialysate volume using single injection of large molecular weight index solute (SIIS) and multiple injections of index solute (MIIS) in rabbits.
- Measurement of dialysate volume as a function of dwell time with varying tonicity solutions.
- Comparison of determined volumes with drained volumes.
Main Results:
- Volumes determined by SIIS were larger than those by MIIS, particularly with hypertonic and hypotonic solutions.
- Drained volumes were smaller than SIIS-determined volumes but similar to MIIS-determined volumes.
- Systematic errors, attributed to index solute loss from the peritoneal cavity, were greater for SIIS than MIIS.
Conclusions:
- Indicator dilution techniques can introduce systematic errors in peritoneal dialysis volume measurement due to index solute loss.
- The SIIS technique tends to overestimate dialysate volume compared to MIIS.
- Despite errors, SIIS-determined volumes can be useful for estimating fluid transfer rates in peritoneal dialysis models.