Manual Single-Lumen Alternating Micro-Batch Device as Renal Replacement Therapy in Austere Environments

Introduction: Electrolyte derangements, acidosis, and volume overload remain life-threatening emergencies in people with acute kidney injury in austere environments. A single-lumen alternating micro-batch (SLAMB) dialysis technique was designed to perform renal replacement therapy using a single-lumen access, low-cost disposable bags and tubing, widely available premade fluids, and a dialysis filter. A manual variation (mSLAMB) works without electricity, battery, or a pump. We modeled mSLAMB dialysis and predicted it could achieve adequate small solute clearance, blood flow rates, and ultrafiltration accuracy. Methods: A 25- to 30-kg pediatric patient's blood volume was simulated by a 2-L bag of expired blood and spiked with 5 g of urea initially, then with 1-2 g between experiments. Experiments had 8 cycles totaling prescription volumes of 800-2,400 mL and were conducted with different ratios of hemofiltration fluid to blood volume. Concentrations of urea and potassium, final effluent volumes, and cycle duration were measured at the end of each cycle to determine clearance, ultrafiltration accuracy, and blood flow rates. Results: Each cycle lasted 70-145 s. Experiments achieved a mean urea reduction ratio of 27.4 +/- 7.1% and a mean potassium reduction of 23.4 +/- 9.3%. The largest urea and potassium reduction percentage occurred with the first cycle. Increased hemofiltration fluid to blood volume ratio did not increase clearance. Mean (+/- standard deviation) blood flow ranged from 79.7 +/- 4.4 mL/min to 90.8 +/- 6.5 mL/min and increased with larger batch volume and height difference between reservoirs. Ultrafiltration accuracy ranged from 0 to 2.4% per cycle. Discussion: mSLAMB dialysis is a simple, manual, cost-effective mode of dialysis capable of providing clearance and accurate ultrafiltration. With further refinement of technique, we believe this can be a potentially lifesaving treatment in austere conditions and low-resource settings.