Webb, Kevin

Abstract Background and Objectives To assess the efficacy of a local volunteer program, delirium optimization with volunteer engagement (DOVE), in preventing in-hospital delirium. Research Design and Methods Between February 2023 and June 2024, volunteers provided structured interventions to patients at risk for delirium, as identified by the Delirium Risk Assessment (DRA) score. Interventions are humanities-based and included sensory aide assistance, completion of “get to know me” forms, and conversation. Data were retrospectively acquired from electronic health records and compared to a control cohort from another medical unit. Delirium occurrence was captured when the nursing confusion assessment method (CAM) documentation was positive, or a clinician documented delirium diagnoses. Cohorts were matched 1:2 (DOVE vs Control) by age, gender, DRA score, month/year of admission, and length of hospital stay. Results A total of 168 patients received interventions by DOVE volunteers, of which 139 were matched with 261 controls. In-hospital delirium occurrence was lower in the DOVE cohort compared to the control cohort (46.8% vs 56.7%; p = .015). Conditional logistic regressions demonstrated a lower odds ratio (OR) for delirium occurrence, 0.55 (95% confidence interval [CI]; 0.34–0.89; p = .015) associated with DOVE intervention. Subgroup analyses of delirium occurrence among patients with DRA score of 3–4 demonstrated an OR of 0.56 (95% CI; 0.31–1.01; p = .053) between the DOVE and control cohorts. Discussion and Implications In-hospital delirium occurrence was ∼10% lower among DOVE cohort patients. This humanities-based intervention offers a feasible strategy, particularly during times of staffing shortages, and should be considered for broader implementation across healthcare institutions.

Dynamic cerebral autoregulation (CA) refers to the brain's ability to maintain stable cerebral blood flow despite fluctuations in blood pressure (BP). Impaired CA has been associated with cardiovascular disease severity and cognitive decline. On the other hand, enhanced cardiorespiratory fitness appears to be protective against both cerebrovascular dysregulation and cognitive decline, with an unclear link between the two. However, among individuals with cardiovascular disease, the impact of exercise-based cardiac rehabilitation (CR) on CA remains unclear. Therefore, the aim of this study was to test the hypothesis that a 12-week CR program would improve dynamic CA in adults with CVD. To address this question, data were collected from 14 patients enrolled in the Mayo Clinic CR program following a cardiac-related hospital admission (age: 43-70 yrs; n=3 females), which included moderate-high intensity aerobic exercise 3 times/week for 12-weeks. Continuous measures of middle cerebral artery velocity (MCAv; transcranial doppler) and finger BP (photoplethysmography) were obtained during 3-minutes of rest and a 3-minute sit-to-stand protocol (0.025Hz frequency) pre- and post the CR program. Transfer function analyses were used to provide an index of dynamic CA. BP-MCAv coherence in the low frequency (LF) and very low frequency (vLF) domains at rest were not different pre- and post- CR (LF: 0.48±0.19 vs 0.43±0.16; P=0.54; vLF: 0.51±0.12 vs 0.47±0.16; P=0.14). Similarly, gain and phase values at rest were not different pre- and post- CR (gain LF: 0.66±0.37 vs 0.58±0.33; P=0.16; vLF: 0.87±0.53 vs 0.74±0.43; P=0.21; phase LF: 0.41±0.30 vs 0.43±0.26; P=0.64; vLF: 0.72±0.53 vs 0.66±0.16; P=0.18). In contrast, during the sit-to-stand protocol, coherence was lower following CR (pre vs post LF: 0.81±0.13 vs 0.79±0.16; p<0.01; vLF: 0.80±0.09 vs 0.79±0.14; p<0.01). In addition, gain was reduced post CR (pre vs post LF: 0.59±0.35 vs 0.55±0.31; P=0.02; vLF: 0.76±0.33 vs 0.61±0.37; p<0.01), suggesting CR-induced improvements in CA efficiency. However, phase remained unchanged pre- and post- CR during the sit-to-stand protocol (LF: 1.01±0.71 vs 0.84±0.58; P=0.17; vLF: 1.16±0.69 vs 1.08±0.60; P=0.19). Taken together, these findings demonstrate that a 12-week exercise-based CR program improves dynamic CA efficiency after a cardiac event. These novel results highlight the potential role of exercise training in improving cerebrovascular regulation. Funding: NIH AG073726 and Mayo Clinic This abstract was presented at the American Physiology Summit 2025 and is only available in HTML format. There is no downloadable file or PDF version. The Physiology editorial board was not involved in the peer review process.

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.

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.

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.