학술논문

Microdialysis and CO.sub.2 sensors detect pancreatic ischemia in a porcine model
Document Type
Report
Source
PLoS ONE. February 10, 2022, Vol. 17 Issue 2, e0262848
Subject
Norway
Language
English
ISSN
1932-6203
Abstract
Background Pancreatic transplantation is associated with a high rate of early postoperative graft thrombosis. If a thrombosis is detected in time, a potentially graft-saving intervention can be initiated. Current postoperative monitoring lacks tools for early detection of ischemia. The aim of this study was to investigate if microdialysis and tissue pCO.sub.2 sensors detect pancreatic ischemia and whether intraparenchymal and organ surface measurements are comparable. Methods In 8 anaesthetized pigs, pairs of lactate monitoring microdialysis catheters and tissue pCO.sub.2 sensors were simultaneously inserted into the parenchyma and attached to the surface of the pancreas. Ischemia was induced by sequential arterial and venous occlusions of 45-minute duration, with two-hour reperfusion after each occlusion. Microdialysate was analyzed every 15 minutes. Tissue pCO.sub.2 was measured continuously. We investigated how surface and parenchymal measurements correlated and the capability of lactate and pCO.sub.2 to discriminate ischemic from non-ischemic periods. Results Ischemia was successfully induced by arterial occlusion in 8 animals and by venous occlusion in 5. During all ischemic episodes, lactate increased with a fold change of 3.2-9.5 (range) in the parenchyma and 1.7-7.6 on the surface. Tissue pCO.sub.2 increased with a fold change of 1.6-3.5 in the parenchyma and 1.3-3.0 on the surface. Systemic lactate and pCO.sub.2 remained unchanged. The area under curve (AUC) for lactate was 0.97 (95% confidence interval (CI) 0.93-1.00) for parenchymal and 0.90 (0.83-0.97) for surface (p Conclusions Local organ monitoring with microdialysis and tissue pCO.sub.2 sensors detect pancreatic ischemia with adequate correlation between surface and parenchymal measurements. Both techniques and locations seem feasible for further development of clinical pancreas monitoring.
Author(s): Kristina Rydenfelt 1,2,*, Runar Strand-Amundsen 3, Rune Horneland 4, Stina Hødnebø 1,2, Gisle Kjøsen 2,5, Søren Erik Pischke 1,2,6, Tor Inge Tønnessen 1,2, Håkon Haugaa 1,7 Introduction In the [...]