This subproject is one of many research subprojects utilizing the resources provided by a Center grant funded by NIH/NCRR. The subproject and investigator (PI) may have received primary funding from another NIH source, and thus could be represented in other CRISP entries. The institution listed is for the Center, which is not necessarily the institution for the investigator. During clinical anesthesia, it is astonishing that CO2 monitoring consists mainly of end-tidal PCO2 to confirm endotracheal intubation and to estimate ventilation, and O2 monitoring consists of a single PO2 measurement to detect a hypoxic gas mixture. Better understanding of how O2 and CO2 kinetics monitoring can define systems pathophysiology will greatly enhance safety in anesthesia by detecting critical events such as abrupt decrease in cardiac output (Q.T) by vena-caval compression during abdominal surgery, occurrence of CO2 pulmonary embolism during laparoscopy, rising tissue O2 consumption (V.O2) during light anesthesia, and onset of anaerobic metabolism (V.CO2 is disproportionately higher than V.O2). In the previous grant period, discoveries of CO2 kinetics during non-steady state revealed significant gaps in understanding of O2 kinetics. To this end, a 5-compartment lung model of gas kinetics in the body during non-steady state has been developed, that incorporates complex interactions between O2 and CO2 in the lung, blood, and tissues. This computer model was used to formulate the following hypotheses, and will elucidate mechanisms underlying the subsequent measured data in anesthetized patients. We have already developed two innovative devices that are essential for the V.O2 measurement: A fast response temperature and humidity sensor, and a mixing device (a bymixer) for the measurement of mixed gas fraction, especially designed for anesthesia systems. We have also designed a sophisticated bench system for the validation of both devices, which showed the high accuracy and performance of our measurements. Hypotheses: """""""" That pulmonary O2 uptake (V.O2) in anesthetized patients is much lower than the value quoted in the literature. """""""" That inhalation anesthesia influences V.O2 differently than total intravenous anesthesia (TIVA). """""""" That an acute decrease in cardiac output (Q.T) (by patient position change) will transiently decrease V.O2 but the decrease in CO2 elimination (V.CO2) is sustained because tissue CO2 stores are a hundred fold greater than O2 (please see previously approved IRB protocol, HS# 2000-1325). """""""" That positive end-expiratory pressure (PEEP) decreases V.O2 and V.CO2 due to decreases in Q.T and alveolar ventilation (V.A), and appearance of high ventilation-to-perfusion (V.A/Q.) units (please see previously approved IRB protocol, HS# 2000-1325). """""""" That Trendelenburg (head down) position increases V.O2 and V.CO2 due to increase in Q.T. """""""" That V.O2 can help to determine the necessity of blood transfusion. """""""" That the continuous measurement of the respiratory quotient (RQ=V.CO2/V.O2) can detect transition to anaerobic metabolism. """""""" That the continuous measurement of the respiratory RQ can be a good alternative to arterial blood gas sampling. """""""" That the continuous measurement of the respiratory RQ can determine the necessity of nutritional support during long operations.

Agency
National Institute of Health (NIH)
Institute
National Center for Research Resources (NCRR)
Type
General Clinical Research Centers Program (M01)
Project #
5M01RR000827-34
Application #
7951039
Study Section
National Center for Research Resources Initial Review Group (RIRG)
Project Start
2008-12-01
Project End
2009-11-30
Budget Start
2008-12-01
Budget End
2009-11-30
Support Year
34
Fiscal Year
2009
Total Cost
$1,699
Indirect Cost
Name
University of California San Diego
Department
Type
Schools of Medicine
DUNS #
804355790
City
La Jolla
State
CA
Country
United States
Zip Code
92093
Grams, Morgan E; Sang, Yingying; Ballew, Shoshana H et al. (2018) Predicting timing of clinical outcomes in patients with chronic kidney disease and severely decreased glomerular filtration rate. Kidney Int 93:1442-1451
Lavigne, Katie M; Woodward, Todd S (2018) Hallucination- and speech-specific hypercoupling in frontotemporal auditory and language networks in schizophrenia using combined task-based fMRI data: An fBIRN study. Hum Brain Mapp 39:1582-1595
Milot, Marie-Hélène; Marchal-Crespo, Laura; Beaulieu, Louis-David et al. (2018) Neural circuits activated by error amplification and haptic guidance training techniques during performance of a timing-based motor task by healthy individuals. Exp Brain Res 236:3085-3099
Hsu, Simon; Rifkin, Dena E; Criqui, Michael H et al. (2018) Relationship of femoral artery ultrasound measures of atherosclerosis with chronic kidney disease. J Vasc Surg 67:1855-1863.e1
Inker, Lesley A; Grams, Morgan E; Levey, Andrew S et al. (2018) Relationship of Estimated GFR and Albuminuria to Concurrent Laboratory Abnormalities: An Individual Participant Data Meta-analysis in a Global Consortium. Am J Kidney Dis :
Egnot, Natalie Suder; Barinas-Mitchell, Emma; Criqui, Michael H et al. (2018) An exploratory factor analysis of inflammatory and coagulation markers associated with femoral artery atherosclerosis in the San Diego Population Study. Thromb Res 164:9-14
Juraschek, Stephen P; Miller 3rd, Edgar R; Appel, Lawrence J (2018) Orthostatic Hypotension and Symptoms in the AASK Trial. Am J Hypertens 31:665-671
Chen, Teresa K; Appel, Lawrence J; Grams, Morgan E et al. (2017) APOL1 Risk Variants and Cardiovascular Disease: Results From the AASK (African American Study of Kidney Disease and Hypertension). Arterioscler Thromb Vasc Biol 37:1765-1769
Juraschek, Stephen P; Appel, Lawrence J; Miller 3rd, Edgar R (2017) Metoprolol Increases Uric Acid and Risk of Gout in African Americans With Chronic Kidney Disease Attributed to Hypertension. Am J Hypertens 30:871-875
Chen, Teresa K; Tin, Adrienne; Peralta, Carmen A et al. (2017) APOL1 Risk Variants, Incident Proteinuria, and Subsequent eGFR Decline in Blacks with Hypertension-Attributed CKD. Clin J Am Soc Nephrol 12:1771-1777

Showing the most recent 10 out of 1825 publications