caa a22 4500 465826148 CHVBK 20180323112149.0 cr unu---uuuuu 170327e19900401xx s 000 0 eng 10.1007/BF02828287 doi (NATIONALLICENCE)springer-10.1007/BF02828287 Prediction of flow capability in intravenous infusion systems: implications for fluid resuscitation [Elektronische Daten] [Beverly Philip, James Philip] The pressure-flow (P-F) relationship for intravenous infusion systems is nonlinear and may be expressed by the quadratic model P = RLF + RTF2. The flow parameters RL and RT may represent the resistances of laminar and turbulent flow, respectively. In this study pressure and flow were measured, and RL and RT were calculated for several infusion tubings, catheters, and system components. We then developed a technique to identify the relative effect of various devices on achieving the higher flows needed for fluid resuscitation. A typical infusion system was chosen, and the experimentally determined flow parameters RL and RT of its components were used in the quadratic P-F relationship at P = 300 mm Hg. Devices in the infusion system were ranked, using a subtractivc algorithm, according to their relative impediment to flow as measured by contribution to the pressure drop. The order of devices removed or replaced, from largest to least pressure drop, was as follows: fluid warmer, 16-gauge catheter, check valve, 14-gauge catheter, standard-bore Y tubing, 12-gauge catheter, and standard-bore stopcock, leaving 10-gaugc catheter + wide tubing. Devices with large RT, such as fluid warmers and check valves that produce large pressure drops, should generally be avoided during fluid resuscitation when high flows arc needed. A similar ordering of device removal or substitution (largest to least pressure drop) was determined using the traditional but incorrect linear P-F model, P = RF, and the order of devices chosen for elimination was different. The two P-F models were then evaluated for accuracy in predicting flow in the range needed for fluid resuscitation from a single low flow point, 187 ml/min, obtained at P = 300 mm Hg. Actual system flow was 963 ml/min. The (incorrect) linear model overestimated flow by 597% of measured flow (5,747 ml/min). The correct quadratic model predicted 967 ml/min, within 0.4% of actual flow. Prediction of flow capability in intravenous infusion systems requires a quadratic P-F model. Little, Brown and Company, 1990 Infusion: intravenous, flow prediction nationallicence Resuscitation: fluid nationallicence Fluid balance nationallicence Philip Beverly Bioengineering Laboratory, Department of Anesthesia Brigham and Women's Hospital, Harvard Medical School, 02115, Boston, MA aut Philip James Bioengineering Laboratory, Department of Anesthesia Brigham and Women's Hospital, Harvard Medical School, 02115, Boston, MA aut Journal of Clinical Monitoring Springer Netherlands 6/2(1990-04-01), 113-117 0748-1977 6:2<113 1990 6 10877 https://doi.org/10.1007/BF02828287 text/html Onlinezugriff via DOI 1 research-article jats NATIONALLICENCE 856 40 https://doi.org/10.1007/BF02828287 text/html Onlinezugriff via DOI NATIONALLICENCE 700 1- Philip Beverly Bioengineering Laboratory, Department of Anesthesia Brigham and Women's Hospital, Harvard Medical School, 02115, Boston, MA aut NATIONALLICENCE 700 1- Philip James Bioengineering Laboratory, Department of Anesthesia Brigham and Women's Hospital, Harvard Medical School, 02115, Boston, MA aut NATIONALLICENCE 773 0- Journal of Clinical Monitoring Springer Netherlands 6/2(1990-04-01), 113-117 0748-1977 6:2<113 1990 6 10877 Metadata rights reserved Springer special CC-BY-NC licence nationallicence BK010053 XK010053 XK010000 NATIONALLICENCE NATIONALLICENCE NL-springer