Stroke Volume estimation using aortic pressure measurements and aortic cross sectional area: Proof of concept

Accurate Stroke Volume (SV) monitoring is essential for patient with cardiovascular dysfunction patients. However, direct SV measurements are not clinically feasible due to the highly invasive nature of measurement devices. Current devices for indirect monitoring of SV are shown to be inaccurate during sudden hemodynamic changes. This paper presents a novel SV estimation using readily available aortic pressure measurements and aortic cross sectional area, using data from a porcine experiment where medical interventions such as fluid replacement, dobutamine infusions, and recruitment maneuvers induced SV changes in a pig with circulatory shock. Measurement of left ventricular volume, proximal aortic pressure, and descending aortic pressure waveforms were made simultaneously during the experiment. From measured data, proximal aortic pressure was separated into reservoir and excess pressures. Beat-to-beat aortic characteristic impedance values were calculated using both aortic pressure measurements and an estimate of the aortic cross sectional area. SV was estimated using the calculated aortic characteristic impedance and excess component of the proximal aorta. The median difference between directly measured SV and estimated SV was -1.4ml with 95% limit of agreement +/- 6.6ml. This method demonstrates that SV can be accurately captured beat-to-beat during sudden changes in hemodynamic state. This novel SV estimation could enable improved cardiac and circulatory treatment in the critical care environment by titrating treatment to the effect on SV.

A comparison between four techniques to measure cardiac output

Cardiac output is an important variable when monitoring hemodynamic status. In particular, changes in cardiac output represent the goal of several circulatory management therapies. Unfortunately, cardiac output is very difficult to estimate, either in experimental or clinical settings. The goal of this work is to compare four techniques to measure cardiac output: pressure-volume catheter, aortic flow probe, thermodilution, and the PiCCO monitor. These four techniques were simultaneously used during experiments of fluid and endotoxin administration on 7 pigs. Findings show that, first, each individual technique is precise, with a relative coefficient of repeatability lower than 7 %. Second, 1 cardiac output estimate provided by any technique relates poorly to the estimates from the other 3, even if there is only small bias between the techniques. Third, changes in cardiac output detected by one technique are only detected by the others in 62 to 100 % of cases. This study confirms the difficulty of obtaining a reliable clinical cardiac output measurement. Therefore, several measurements using different techniques should be performed, if possible, and all such should be treated with caution.

Abstract LB-139: IDH1 mutations alter citric acid cycle metabolism and increase dependence on oxidative mitochondrial metabolism

Mutations in the genes encoding isocitrate dehydrogenase 1 and 2 (IDH1/2) occur in a variety of tumor types, resulting in production of the proposed oncometabolite, 2-hydroxyglutarate (2-HG). How mutant IDH alters central carbon metabolism, though, remains unclear. To address this question, we performed 13C metabolic flux analysis (MFA) on an isogenic cell panel containing heterozygous IDH1/2 mutations. We observe a dramatic and consistent decrease in the ability of IDH1, but not IDH2, mutant cell lines to utilize reductive glutamine metabolism via the carboxylation of α-ketoglutarate to isocitrate. Additionally we find that cells with IDH1 mutations exhibit increased oxidative tricarboxylic acid (TCA) metabolism. Similar metabolic trends were observed in vivo as well, and also in endogenous, non-engineered IDH1/2 mutant cell lines. Interestingly, IDH1-mutant specific inhibitors were unable to reverse the decrease in reductive metabolism, suggesting that this metabolic phenotype is independent of 2-HG. Furthermore, this metabolic reprogramming increases the sensitivity of IDH1 mutant cells to hypoxia or electron transport chain (ETC) inhibition in vitro. IDH1 mutant cells also grow poorly as subcutaneous xenografts within hypoxic in vivo microenvironments. These results suggest that exploiting metabolic defects specific to IDH1 mutant cells could be an interesting avenue to explore therapeutically.

Citation Format: Alexandra R. Grassian, Seth Parker, Shawn Davidson, Ajit Divakaruni, Courtney Green, Xiamei Zhang, Kelly Slocum, Minying Pu, Fallon Lin, Chad Vickers, Carol Joud-Caldwell, Franklin Chung, Hong Yin, Erika Handly, Christopher Straub, Joseph D. Growney, Matt Vander Heiden, Anne Murphy, Raymond Pagliarini, Christian Metallo. IDH1 mutations alter citric acid cycle metabolism and increase dependence on oxidative mitochondrial metabolism. [abstract]. In: Proceedings of the 105th Annual Meeting of the American Association for Cancer Research; 2014 Apr 5-9; San Diego, CA. Philadelphia (PA): AACR; Cancer Res 2014;74(19 Suppl):Abstract nr LB-139. doi:10.1158/1538-7445.AM2014-LB-139