Citations

Background: The compensatory reserve metric (CRM) provides a novel marker of hemodynamic status in prediction of sudden cardiovascular decompensation during central hypovolemia. The CRM has previously been calculated using arterial waveforms obtained from a photoplethysmographic volume-clamp technique. However, the in-field use of pulse oximetry is becoming more prominent in research and medicine. To improve in-field applicability of the CRM, this project aimed to validate pulse-oximetry derived CRM values relative to physiologic data during simulated hemorrhage through application of lower body negative pressure (LBNP). Methods: Forty-nine healthy adults (25 females) underwent a graded LBNP protocol with the following 5-minute stages: -0, -15, -30, -45, -60, -70, -80, -90, and 100 mmHg, or until the onset of pre-syncopal symptoms (tolerance) was reached. Arterial waveforms were sampled using pulse oximetry (Massimo Radical 7). The CRM was calculated using a validated one-dimensional convolutional neural network. A brachial artery catheter was used to measure intraarterial pressure. A 3-lead ECG was used to measure heart rate. SpO2 was measured using pulse oximetry. Cardiac output and stroke volume were estimated using the photoplethysmographic volume-clamp. Data were binned for the last thirty seconds of each completed stage, and at tolerance. Fixed-effect linear mixed models with repeated measures were used to examine the association between CRM values and physiologic variables. A priori significance was set at P<0.05. Results: The median LBNP stage reached was 70 mmHg (Range: 45-100 mmHg). Relative to baseline, at tolerance there was a 50±12% ( P<0.001) mean reduction in stroke volume, 65±27% ( P<0.001) increase in heart rate, 18±8% ( P<0.001) reduction in mean arterial pressure, 21±7% ( P<0.001) systolic blood pressure, 8±9% ( P<0.001) diastolic blood pressure, and 39±12% ( P<0.001) pulse pressure. The CRM obtained using pulse oximetry was significantly associated with a reduction in stroke volume ( P<0.001), increase in heart rate ( P<0.001), and reductions in systolic ( P=0.033), diastolic ( P=0.036), and pulse pressure ( P=0.002). There was no statistically significant association between CRM and cardiac output ( P=0.421), SpO2 ( P=0.408), or mean arterial pressure ( P=0.214). Conclusion: The CRM obtained using pulse oximetry may be a valid, reliable marker of hemodynamic status with promising in-field applications. Future studies warrant investigation of feasibility and applicability within various contexts ranging from the operating room to the battlefield. The presented work was funded in part by the Congressionally Directed Medical Research Program (Award No. DM180240) and Offce of Naval Research (Awards No. N00014-18-D-7001 and N00014-19-C-2017). This is the full abstract presented at the American Physiology Summit 2024 meeting and is only available in HTML format. There are no additional versions or additional content available for this abstract. Physiology was not involved in the peer review process.

Introduction: Patients with coronary artery disease (CAD) are at increased risk of cognitive decline. A proposed mechanism is cerebral hypoperfusion related to vascular dysfunction and impaired cerebral blood flow regulation Hypothesis: Patients with CAD will have lower cerebrovascular function than age- and sex-matched controls, assessed as reactivity to a vasodilatory carbon dioxide (CO 2 ) stimulus. Methods: Adults 40-70years old with CAD were recruited on enrollment to a cardiac rehabilitation program following a cardiac event or hospitalization. Age and sex-matched adults without known disease or cardiovascular risk factors were recruited as healthy controls. Cognitive function was assessed by the Fluid Composite of the NIH Cognition Toolbox. Following a familiarization visit, participants underwent a stepped CO 2 protocol (room air, 2% CO 2 , 4% CO 2 , 6% CO 2 ) while continuously measuring middle cerebral artery velocity (MCAv) using transcranial doppler ultrasound, mean arterial pressure (MAP), ventilation (VE), and end-tidal CO 2 . Cerebrovascular conductance (CVCi) was calculated as MCAv/MAP. Cerebrovascular reactivity was calculated as the linear regression slope of CVCi against the change in end-tidal CO 2 . The reactivity of MAP and VE (or chemosensitivity) were also calculated. Results: 19 patients with CAD and 10 healthy controls were recruited ( Table 1 ). Compared with controls, patients with CAD had a 2-fold lower cerebrovascular reactivity (p=0.003), higher MAP reactivity (p<0.05), and a trend towards higher chemosensitivity (p<0.1) ( Table 2 ). There were no group differences in resting CVCi or cognition ( Table 2 ). After adjustment for age and sex, lower cerebrovascular reactivity was associated with lower peak oxygen uptake, diabetes, and smoking history ( Table 3 ). Conclusions: Compared with healthy controls, we report that patients with CAD have significantly lower cerebrovascular function, with no differences in cognitive function.

AbstractOxygen transport from the lungs to peripheral tissue is dependent on the affinity of hemoglobin for oxygen. Recent experimental data have suggested that the maximum human capacity for oxygen uptake and utilization (V̇O2max) at sea level and altitude (~3000 m) is sensitive to alterations in hemoglobin‐oxygen affinity. However, the effect of such alterations on V̇O2max at extreme altitudes remains largely unknown due to the rarity of mutations affecting hemoglobin‐oxygen affinity. This work uses a mathematical model that couples pulmonary oxygen uptake with systemic oxygen utilization under conditions of high metabolic demand to investigate the effect of hemoglobin‐oxygen affinity on V̇O2max as a function of altitude. The model includes the effects of both diffusive and convective limitations on oxygen transport. Pulmonary oxygen uptake is calculated using a spatially‐distributed model that accounts for the effects of hematocrit and hemoglobin‐oxygen affinity. Systemic oxygen utilization is calculated assuming Michaelis–Menten kinetics. The pulmonary and systemic model components are solved iteratively to compute predicted arterial and venous oxygen levels. Values of V̇O2max are predicted for several values of hemoglobin‐oxygen affinity and hemoglobin concentration based on data from humans with hemoglobin mutations. The model predicts that increased hemoglobin‐oxygen affinity leads to increased V̇O2max at altitudes above ~4500 m.

Background: Hemoglobin, the primary oxygen-carrying protein in humans, provides the intermediate link between pulmonary oxygen uptake and tissue oxygen consumption. Oxygen transport is greatly influenced by the hemoglobin-oxygen affinity, which is commonly characterized by the metric P50 - defined as the oxygen tension at which 50% of hemoglobin is saturated. Humans with rare hemoglobin mutations causing a low P50 (high hemoglobin-oxygen affinity) have demonstrated remarkable preservation of exercise tolerance at high altitude conditions (~3,000m). However, the influence of a low P50 on V̇O2max at extreme altitudes (>5,500m) remains largely unexamined. To examine the dependence of V̇O2max on P50 and altitude, we developed a computational model of oxygen uptake and utilization. We hypothesized that a low P50 would result in a better maintained V̇O2max at extreme altitudes compared to conditions of normal P50 and high P50 (low hemoglobin-oxygen affinity). Methods: We created a model that couples pulmonary oxygen uptake with systemic oxygen utilization to estimate V̇O2max as a function of P50, hemoglobin concentration, and altitude. Fixed values for cardiac output and tissue oxygen demand for V̇O2max at sea level were assigned in accordance with experimental data. The pulmonary oxygen uptake model assumes a single blood compartment exposed to alveolar gas, from which the arterial oxygen tension may be estimated from venous input. Using the alveolar gas equation, we interpolated respiratory parameters from data obtained during human sojourn to the summit of Everest. The systemic oxygen utilization model uses arterial input parameters along with Michaelis-Menten kinetics to compute oxygen consumption. The Fick principle was used to determine the venous oxygen tension, which was assumed to approximate tissue oxygen tension. From these values, systemic oxygen extraction and V̇O2max were determined as a function of P50, hemoglobin concentration, and altitude. Results: We present the results for several cases of P50 (low, normal, and high) and hemoglobin concentrations as a function of altitude. For a low P50, the model demonstrated a greater arterial oxygen saturation, greater oxygen content, and lower systemic extraction at extreme altitudes compared to values determined for cases of normal and high P50. Additionally, a low P50 led to better maintenance of V̇O2max at ~8,850m (~38% decrease from sea-level V̇O2max) compared to values determined for normal P50 and high P50 (~53% and ~67% decrease from sea-level V̇O2max, respectively, P<0.05). Conclusion: This model demonstrates the importance of P50 in the determination of V̇O2max at various altitudes. At low altitudes, a low P50 does not confer an advantage in terms of oxygen utilization, likely due to diffusive oxygen limitations. However, at high and extreme altitudes, a greater convective oxygen transport associated with a low P50 likely outweighs impairments in oxygen diffusivity. This project was supported by the National Institutes of Health R-35-HL139854. This is the full abstract presented at the American Physiology Summit 2023 meeting and is only available in HTML format. There are no additional versions or additional content available for this abstract. Physiology was not involved in the peer review process.

New Findings What is the central question of this study? Do humans with high‐affinity haemoglobin (HAH) demonstrate attenuated skeletal muscle deoxygenation during normoxic and hypoxic exercise? What is the main finding and its importance? Examination of near‐infrared spectroscopy‐derived muscle oxygenation profiles suggests that fractional oxygen extraction is blunted during hypoxic exercise in humans with HAH compared with control subjects. However, muscle tissue oxygen saturation levels were higher in humans with HAH during exercise in normoxia compared with control subjects. These alterations in fractional oxygen extraction in humans with HAH might influence blood flow regulation and exercise capacity during hypoxia. AbstractRecently, researchers in our laboratory have shown that humans with genetic mutations resulting in high‐affinity haemoglobin (HAH) demonstrate better maintained aerobic capacity and peak power output during hypoxic exercise versus normoxic exercise in comparison to humans with normal‐affinity haemoglobin. However, the influence of HAH on tissue oxygenation within exercising muscle during normoxia and hypoxia is unknown. Therefore, we examined near‐infrared spectroscopy‐derived oxygenation profiles of the vastus lateralis during graded cycling exercise in normoxia and hypoxia among humans with HAH (n = 5) and control subjects with normal‐affinity haemoglobin (n = 12). The HAH group elicited a blunted increase of deoxygenated haemoglobin + myoglobin during hypoxic exercise compared with the control group (P = 0.03), suggesting reduced fractional oxygen extraction in the HAH group. In addition, the HAH group maintained a higher level of muscle tissue oxygen saturation during normoxic exercise (HAH, 75 ± 4% vs. controls, 65 ± 3%, P = 0.049) and there were no differences between groups in muscle tissue oxygen saturation during hypoxic exercise (HAH, 68 ± 3% vs. controls, 68 ± 2%, P = 0.943). Overall, our results suggest that humans with HAH might demonstrate divergent patterns of fractional oxygen extraction during hypoxic exercise and elevated muscle tissue oxygenation during normoxic exercise compared with control subjects.

Humans with high affinity hemoglobin (HAH) develop compensatory polycythemia, an elevated hematocrit, which increases blood viscosity and may compromise cardiac output during exercise. In addition, humans with HAH have shown alterations in muscle blood flow during exercise in normoxia and hypoxia. As such, we aimed to investigate the influence of HAH and compensatory polycythemia on the central hemodynamic response during both normoxic and hypoxic exercise. METHODS Seven humans with HAH (4 females, 36 ± 13 years) and 11 healthy controls with normal oxygen binding affinity (4 females, 39 ± 10 years) performed cycling exercise at two intensities, 1) at a power output corresponding to 15% below normoxic gas exchange threshold (GET) for four minutes and 2) at a power output requiring 85% of normoxic maximal aerobic capacity until exhaustion. This protocol was performed during both normoxia and hypoxia (21% O 2 and 15% O 2 , respectively). Hemodynamic measurements were taken after three minutes of cycling at 15% below normoxic GET, three minutes at 85% V̇O 2max , and at exhaustion. Cardiac output (Q̇) was estimated using an open‐circuit acetylene wash‐in technique. Stroke volume (SV) was calculated by dividing Q̇ by heart rate (HR). Baseline characteristics were compared between groups with student’s two‐tailed unpaired t‐tests. Hemodynamics were analyzed using a two‐way repeated measures analysis of variance to examine the effects of group and exercise intensity. RESULTS As expected, hematocrit was ~15% greater in the HAH group than the control group (HAH: 58 ± 7 % vs CTL: 43 ± 3 %, P<0.001). Both groups elicited an increase in Q̇ and HR as exercise intensity increased during both normoxia (P<0.001 for both) and hypoxia (P<0.001 and P=0.002, respectively). There was no significant difference in Q̇ between groups during normoxia (P=0.85) or hypoxia (P=0.69). In addition, neither HR nor SV were different between groups during exercise in normoxia (P=0.13 and P=0.39, respectively) or hypoxia (P=0.89 and P=0.73, respectively). There was no group by intensity interaction for Q̇, HR, or SV during normoxia (all, P>0.42) or hypoxia (all, P>0.63). CONCLUSION Our data suggest that cardiac output is not compromised during normoxic or hypoxic exercise in humans with HAH and compensatory polycythemia. Therefore, compensatory polycythemia may improve exercise capacity in humans with HAH by raising oxygen carrying capacity without limiting cardiac output.

Abstract Introduction With severe burn injury, there is systemic fluid loss due to inflammatory responses in damaged tissue, leading to disruption of cellular processes. Patient fluid levels are restored with the calculation of total body surface area (TBSA). Clinically used TBSA equations are often outdated and inaccurate with error up to 20%, resulting in misinformed treatment and subsequent sequelae including prolonged hospital length of stay and increased mortality. Our objective, therefore, was to create a point-of-care (POC) system employing 3D imaging technology to accurately calculate TBSA for all patient population varieties. Methods Our team employed an iPad attachable, infrared scanner to create 3D models of the human body. From these models, TBSA can be extrapolated using scan processing software. Subject scans were collected on our device and on a gold standard scanner for comparison of TBSA output. Clinical testing on burn patients is occurring at present to establish scanning precision of TBSA in the burn care environment. Results Non-clinical verification tests of the 3D scanned TBSA revealed a 4.05% error when compared to the gold standard, and precision error of 3.8%. Additionally, we introduced the device into the burn unit for preliminary testing with a physician user and non-patient subjects. The subjects were scanned in a prone position to mimic burn care workflow. Clinician scanning error was 1.41% when compared to the gold standard scan of the same subject. Clinical precision study results are on-going in collection. Conclusions Our device introduces an improved method of TBSA estimation to assist clinicians in making accurate burn care decisions and further precision medicine with greater anthropomteric data, notably for children. This device is one of the first POC-3D scanning technologies to be used in a burn setting and may also be employed at outlying medical facilities. Destructive wildfires and combat burn injuries highlight the need for such a device to standardize the triage of burn victims with and away from experienced medical staff. Applicability of Research to Practice 3D body mapping points to an enhanced method of TBSA calculation and minimally disruptive to the burn workflow. Future developments of 3D scanning include deep learning algorithms to identify and better assess burned surface area. Additionally, further automation of TBSA scan processing to reduce user error in calculation and improve burn injury outcomes.